@ 732c6a62:42003da2

Não são recentes as táticas da esquerda de tentar reprimir intelectualmente seus opositores na base do deboche, da ironia, do desprezo e do boicote à credibilidade. Até Marx usava ironia para chamar os críticos de "burgueses iludidos". A diferença é que, no século XXI, trocaram o manifesto comunista por threads no Twitter e a dialética por memes de mau gosto.

A Falácia da Superioridade Moral

O debate sobre o "pobre de direita" no Brasil é contaminado por uma premissa tácita da esquerda: a ideia de que classes baixas só podem ter consciência política se aderirem a pautas progressistas. Quem ousa divergir é tratado como "traidor de classe", "manipulado", "ignorante", ou até vítimas de deboches como alguma pessoa com um qi em temperatura ambiente repetir diversas vezes "não é possível que ainda exista pobre de direita", "nunca vou entender pobre de direita", ou "pobre de direita é muito burro, rico eu até entendo", como se o autor dessas frases fosse o paladino dos mais oprimidos e pobres. Esse discurso, porém, não resiste a uma análise empírica, histórica ou sociológica.

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Contexto Histórico: A Esquerda e o Mito do "Voto Consciente"

A noção de que o pobre deve votar na esquerda por "interesse de classe" é herança do marxismo ortodoxo, que via a política como mero reflexo da posição econômica. No entanto, a realidade é mais complexa:

• Dados do Latinobarómetro (2022): 41% dos brasileiros de baixa renda (até 2 salários mínimos) apoiam redução de impostos e maior liberdade econômica — pautas tradicionalmente associadas à direita.
• Pesquisa IPEC (2023): 58% dos pobres brasileiros priorizam "segurança pública" como principal demanda, acima de "distribuição de renda".

Esses números não são acidentais. Refletem uma mudança estrutural: o pobre moderno não é mais o "operário industrial" do século XX, mas um empreendedor informal, motorista de app, ou microempresário — figuras que valorizam autonomia e rejeitam paternalismo estatal. Eles dizem não entender o pobre de direita e que nunca vai entendê-los, mas o fato é que não entendem porque nunca conversaram com um sem fazer cara de psicólogo de posto de saúde. Sua "preocupação" é só uma máscara para esconder o desprezo por quem ousa pensar diferente do seu manual de "oprimido ideal".

Se ainda não entenderam:

Direita ≠ rico: Tem gente que trabalha 12h/dia e vota em liberal porque quer ser dono do próprio negócio, não pra pagar mais taxação pra você postar meme no Twitter.
Acham que são o Sherlock Holmes da pobreza: o palpite de que "o pobre é manipulado" é tão raso quanto sua compreensão de economia básica.

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A Psicologia por Trás do Voto Conservador nas Periferias

A esquerda atribui o voto pobre em direita a "falta de educação" ou "manipulação midiática". Essa tese é não apenas elitista, mas cientificamente falsa:

Análise Psicológica Básica (para você que se acha o Paulo Freire):
- Síndrome do Branco Salvador: Acha que o pobre é uma criatura tão frágil que precisa de você pra pensar. Spoiler: ele não precisa.
- Viés da Superioridade Moral: "Se você é pobre e não concorda comigo, você é burro". Parabéns, recriou a escravidão intelectual.
- Efeito Dunning-Kruger: Não sabe o que é CLT, mas dá palpite sobre reforma trabalhista.

• Estudo da Universidade de São Paulo (USP, 2021): Entre moradores de favelas, 63% associam políticas de segurança dura (como "bandido bom é bandido morto") à proteção de seus negócios e famílias. Para eles, a esquerda é "branda demais" com o crime.
• Pesquisa FGV (2020): 71% dos trabalhadores informais rejeitam aumentos de impostos, mesmo que para financiar programas sociais. Motivo: já sofrem com a burocracia estatal para legalizar seus negócios.

Esses dados revelam uma racionalidade prática: o pobre avalia políticas pelo impacto imediato em sua vida, não por abstrações ideológicas. Enquanto a esquerda fala em "reforma estrutural" e tenta importar discursos estrangeiros para debate, por exemplo, o tema irrelevante do pronome neutro, ele quer resolver problemas como:
- Violência (que afeta seu comércio);
- Impostos (que consomem até 40% do lucro de um camelô);
- Burocracia (que impede a legalização de sua barraca de pastel).

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Religião, Valores e a Hipocrisia do "Ateísmo de Redes Sociais"

A esquerda subestima o papel da religião na formação política das classes baixas. No Brasil, 76% dos evangélicos são pobres (Datafolha, 2023), e suas igrejas promovem valores como:
- Família tradicional (contra pautas progressistas como ideologia de gênero em escolas);
- Auto-responsabilidade (ênfase em "trabalho duro" em vez de assistencialismo).

Exemplo Concreto:
Nas favelas de São Paulo, pastores evangélicos são frequentemente eleitos a cargos locais com plataformas anticrime e pró-mercado. Para seus eleitores, a esquerda urbana (que defende descriminalização de drogas e críticas à polícia) representa uma ameaça ao seu estilo de vida.

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A Esquerda e seu Desprezo pela Autonomia do Pobre

O cerne do debate é a incapacidade da esquerda de aceitar que o pobre possa ser autônomo. Algumas evidências:

O Caso dos Empreendedores Informais

• Segundo o IBGE (2023), 40% dos trabalhadores brasileiros estão na informalidade. Muitos veem o Estado como obstáculo, não aliado. Políticas de direita (como simplificação tributária) são mais atraentes para eles que o Bolsa Família.

A Ascensão do Conservadorismo Periférico

• Pessoas assim tem um pensamento simples. Sua mensagem: "Queremos empreender, não depender de político."

A Rejeição ao "Vitimismo"

• Pesquisa Atlas Intel (2022): 68% dos pobres brasileiros rejeitam o termo "vítima da sociedade". Preferem ser vistos como "lutadores".

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A projeção freudiana "o pobre é burro porque eu sou inteligente"

O deboche esquerdista esconde um complexo de inferioridade disfarçado de superioridade moral. É a Síndrome do Salvador em sua forma mais patética:
- Passo 1: Assume-se que o pobre é um ser desprovido de agência.
- Passo 2: Qualquer desvio da narrativa é atribuído a "manipulação da elite".
- Passo 3: Quem critica o processo é chamado de "fascista".

Exemplo Prático:
Quando uma empregada doméstica diz que prefere o livre mercado a programas sociais, a esquerda não pergunta "por quê?" — ela grita "lavagem cerebral!". A ironia? Essa mesma esquerda defende a autonomia feminina, exceto quando a mulher é pobre e pensa diferente.

Dados Globais: O Fenômeno Não é Brasileiro

A ideia de que "pobre de direita" é uma anomalia é desmentida por evidências internacionais:

• Estados Unidos: 38% dos eleitores com renda abaixo de US$ 30k/ano votaram em Trump em 2020 (Pew Research). Motivos principais: conservadorismo social e rejeição a impostos. A esquerda: "vítimas da falsa consciência". Mais um detalhe: na última eleição de 2024, grande parte da classe "artística" milionária dos Estados Unidos, figuras conhecidas, promoveram em peso a Kamala Harris, do Partido Democrata. Percebe como a esquerda atual é a personificaçãoda burguesia e de só pensar na própria barriga?
• Argentina: Javier Milei, libertário radical, quando candidato, tinha forte apoio nas villas miseria (favelas). Seu lema — "O estado é um parasita" — ressoa entre quem sofria com inflação de 211% ao ano.
• Índia: O partido BJP (direita nacionalista) domina entre os pobres rurais, que associam a esquerda a elites urbanas desconectadas de suas necessidades.

A história que a esquerda tenta apagar: pobres de direita existem desde sempre

A esquerda age como se o "pobre de direita" fosse uma invenção recente do MBL, mas a realidade é que classes baixas conservadoras são regra, não exceção, na história mundial:
- Revolução Francesa (1789): Camponeses apoiaram a monarquia contra os jacobinos urbanos que queriam "libertá-los".
- Brasil Imperial: Escravos libertos que viraram pequenos proprietários rurais rejeitavam o abolicionismo radical — queriam integração, não utopia.

Tradução:
Quando o pobre não segue o script, a esquerda inventa teorias conspiratórias.

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A Hipocrisia da Esquerda Urbana e Universitária

Enquanto acusa o pobre de direita de "alienado", a esquerda brasileira é dominada por uma elite desconectada da realidade periférica:

• Perfil Socioeconômico: 82% dos filiados ao PSOL têm ensino superior completo (TSE, 2023). Apenas 6% moram em bairros periféricos.
• Prioridades Descoladas: Enquanto o pobre debate segurança e custo de vida, a esquerda pauta discussões como "linguagem não-binária em editais públicos" — tema irrelevante para quem luta contra o desemprego. Os grandes teóricos comunistas se reviram no túmulo quando veem o que a esquerda se tornou: não debatem os reais problemas do Brasil, e sim sobre suas próprias emoções.

"A esquerda brasileira trocou o operário pelo influencer progressista. O pobre virou um personagem de campanha, não um interlocutor real."

A diversidade de pensamento que a esquerda não suporta

A esquerda prega diversidade — desde que você seja diverso dentro de um checklist pré-aprovado. Pobre LGBTQ+? Herói. Pobre evangélico? Fascista. Pobre que abre MEI? "Peão do capitalismo". A realidade é que favelas e periferias são microcosmos de pluralidade ideológica, algo que assusta quem quer reduzir seres humanos a estereótipos.

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Respostas aos Argumentos Esquerdistas (e Por que Falham)

"O pobre de direita é manipulado pela mídia!"

• Contradição: Se a mídia tradicional é dominada por elites (como alegam), por que grandes veículos são abertamente progressistas? A Record (evangélica) é exceção, não regra.

Contradição Central:
Como explicar que, segundo o Banco Mundial (2023), países com maior liberdade econômica (ex.: Chile, Polônia) reduziram a pobreza extrema em 60% nas últimas décadas, enquanto modelos estatizantes (ex.: Venezuela, Argentina com o governo peronista) afundaram na miséria? Simples: a esquerda prefere culpar o "neoliberalismo" a admitir que o pobre com o mínimo de consciência quer emprego, não esmola.

Dado que Machuca:
- 71% das mulheres da periferia rejeitam o feminismo radical, associando-o a "prioridades distantes da realidade" (Instituto Locomotiva, 2023).

"Ele vota contra os próprios interesses!"

• Falácia: Pressupõe que a esquerda define o que é o "interesse do pobre". Para um pai de família na Cidade de Deus, ter a boca de fogo fechada pode ser mais urgente que um aumento de 10% no Bolsa Família.

O pobre de direita não é uma anomalia. É o produto natural de um mundo complexo onde seres humanos têm aspirações, medos e valores diversos. Enquanto a esquerda insiste em tratá-lo como um projeto fracassado, ele está ocupado:
- Trabalhando para não depender do governo.
- Escolhendo religiões que dão sentido à sua vida.
- Rejeitando pautas identitárias que não resolvem o custo do gás de cozinha.

"É falta de educação política!"

• Ironia: Nos países nórdicos (modelo da esquerda), as classes baixas são as mais conservadoras. Educação não correlaciona com progressismo.

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Por que o Debuste Precisa Acabar

A insistência em descredibilizar o pobre de direita revela um projeto de poder fracassado. A esquerda, ao substituir diálogo por deboche, perdeu a capacidade de representar quem mais precisaria dela. Enquanto isso, a direita — nem sempre por virtude, mas por pragmatismo — capturou o descontentamento de milhões com o status quo.

O pobre de direita existe porque ele não precisa da permissão do rico de esquerda para pensar. A incapacidade de entender isso só prova que a esquerda é a nova aristocracia.

Último Dado: Nas eleições de 2022, Tarcísio de Freitas (direita) venceu em 72% das favelas de São Paulo. O motivo? Seu discurso anti-burocracia e pró-microempreendedor.

A mensagem é clara: o pobre não é um projeto ideológico. É um agente político autônomo — e quem não entender isso continuará perdendo eleições.

A esquerda elitista não odeia o pobre de direita por ele ser "irracional". Odeia porque ele desafia o monopólio moral que ela construiu sobre a miséria alheia. Enquanto isso, o pobre segue sua vida, ignorando os berros de quem acha que sabem mais da sua vida que ele mesmo.

Pergunta Retórica (Para Incomodar):
Se a esquerda é tão sábia, por que não usa essa sabedoria para entender que pobre também cansa de ser tratado como cachorro que late no ritmo errado?

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Fontes Citadas:

1. Latinobarómetro (2022)
2. IPEC (2023)
3. USP (2021): "Segurança Pública e Percepções nas Favelas Cariocas"
4. FGV (2020): "Informalidade e Tributação no Brasil"
5. Datafolha (2023): "Perfil Religioso do Eleitorado Brasileiro"
6. Atlas Intel (2022): "Autopercepção das Classes Baixas"
7. Pew Research (2020): "Voting Patterns by Income in the U.S."
8. TSE (2023): "Perfil Socioeconômico dos Filiados Partidários"

Leitura Recomendada para Esquerdistas:
- "Fome de Poder: Por que o Pobre Brasileiro Abandonou a Esquerda" (Fernando Schüller, 2023)
- "A Revolução dos Conservadores: Religião e Política nas Periferias" (Juliano Spyer, 2021)
- "Direita e Esquerda: Razões e Paixões" (Demétrio Magnoli, 2019)

@ 732c6a62:42003da2

De acordo com a Forbes, a Ripple (Empresa responsável pela Criptomoeda XRP) tem financiado e apoiado campanhas contra a mineração de Bitcoin.

Por que Ripple faz propaganda anti-bitcoin?

Simples: eles são o oposto do Bitcoin em quase tudo. Enquanto o Bitcoin foi criado para ser descentralizado, resistente à censura e independente de instituições, o Ripple é basicamente um serviço bancário 2.0. Eles precisam atacar o Bitcoin para justificar sua própria existência.

O que você não sabe:

1. Ripple Labs controla a maioria do XRP: Eles têm um estoque estratégico que pode ser liberado no mercado a qualquer momento. Isso é o oposto de descentralização.
2. XRP não é uma moeda para "pessoas comuns": Foi criada para bancos e instituições financeiras. Basicamente, é o "banco central" das criptomoedas.
3. Ripple não é blockchain no sentido tradicional: Eles usam um protocolo chamado Ripple Protocol Consensus Algorithm (RPCA), que é mais rápido, mas menos descentralizado.

Os principais ataques do Ripple ao Bitcoin:

1. Anti-mineração: O Ripple critica o consumo de energia do Bitcoin, mas esquece que seu próprio sistema depende de servidores centralizados que também consomem energia.
2. Anti-reserva estratégica: O Ripple tem um estoque gigante de XRP, mas critica o Bitcoin por ser "deflacionário". Hipocrisia? Nunca ouvi falar.
3. Anti-descentralização: O Ripple prega que a descentralização do Bitcoin é "ineficiente", mas o que eles realmente querem é manter o controle nas mãos de poucos.

Análise Psicológica Básica (para você que acha que XRP é o futuro):

• Síndrome do Underdog: Acha que apoiar o Ripple te faz um rebelde, mas na verdade você está torcendo para o sistema bancário tradicional.
• Viés de Confirmação: Só ouve opiniões que validam sua decisão de comprar XRP.
• Efeito Dunning-Kruger: Acha que entender Ripple te torna um especialista em criptomoedas, mas não sabe o que é um hard fork.

Estudo de Caso (Real, mas Você Vai Ignorar):
Carlos, 30 anos, comprou XRP porque "é o futuro das transações bancárias". Ele não sabe que o Ripple está sendo processado pela SEC por vender XRP como um título não registrado. Carlos agora está esperando o "pump" que nunca vem.

Conclusão: ou, "volte para a aula de economia do ensino médio"

Ripple não é o futuro das finanças. É só mais um player tentando lucrar em um mercado competitivo. E sua propaganda anti-Bitcoin? Essa só prova que a descentralização assusta quem quer controle. Agora vá estudar blockchain básico — ou pelo menos pare de compartilhar memes com erros de português.

@ 732c6a62:42003da2

De ''Dialética do Oprimido'' a ''Like do Oprimido'': A Queda Livre do Debate que Nunca Existiu.

A moda do momento

Fiquei aproximadamente 8 meses sem ter acesso a nenhum dispositivo. Quando consegui novamente o acesso ao smartphone, percebi algo diferente no debate político brasileiro: enquanto a direita estava se engajando em incontáveis números de curtidas e compartilhamentos com memes que demonstravam críticas ao governo e aos seus ainda poucos apoiadores que se humilham para defender o indefensável, a esquerda radical repetia sua imposição intelectual em comentários de vários posts, incluindo textos, vídeos e tweets com frases semelhantes a "vai ler um livro de história" "nunca leu um livro", "eu estou do lado certo da história" e "se eu fosse irracional eu seria de direita". Tudo isso pra tentar passar uma mensagem de que a história é de esquerda. A tese é: será que eles realmente são tão inteligentes como juram?

Fatos que ignoram enquanto cospem jargões do "lado certo da história":
1. A esquerda também tem seus terraplanistas: Anti-vaxxers de organicafé, terraplanistas do gênero, e os que acham que a Coreia do Norte é uma democracia.
2. Viés de confirmação não é monopólio da direita: Eles compartilham estudos "científicos" do Medium como se fossem peer-reviewed, mas desdenham de dados que contradizem sua narrativa.
3. A direita não é um monolito: Tem desde ancaps que calculam até a última casa decimal até bolsominions que acham que a Terra é plana. Generalizar é... bem, irracional.

Estudo de Caso (Fictício, mas Verdadeiro):
Larissa, 23 anos, posta sobre "ciência e razão" enquanto defende horóscopo como "ferramenta de autoconhecimento". Acredita que o capitalismo causa depressão, mas não sabe o que é taxa Selic. Larissa é você após três caipirinhas.

A Imposição intelectual que ninguém pediu (mas todos recebem de graça)

A esquerda brasileira, em sua cruzada épica para salvar o mundo dos "fascistas que ousam discordar", adotou uma nova estratégia: transformar complexidade política em slogans de camiseta de feira. A frase "se eu fosse irracional, seria de direita" não é original — é plágio descarado da cartilha do Complexo de Deus em Oferta no AliExpress.

O Quebra-Cabeça da superioridade Auto-Delirante

A tese esquerdista se sustenta em três pilares frágeis:
1. A falácia do "lado certo da história": Como se história fosse um jogo de futebol com narração do João Cléber.
2. A ilusão de que citar Foucault = ter QI elevado: Spoiler: decorar "biopoder" não te torna imune a acreditar em astrologia.
3. A crença de que volume de texto = profundidade: 15 parágrafos no Twitter não equivalem a um semestre de Ciência Política.

Dado Cruel: Um estudo da Universidade de Cambridge (2022) mostrou que extremistas de ambos os lados cometem erros lógicos similares. A diferença? A esquerda usa palavras mais bonitas para mascarar a burrice.

A hipocrisia do "nunca tocou em um livro" (enquanto compartilham resumo de livro no TikTok)

A acusação preferida — "você não lê!" — esconde uma ironia deliciosa:
- 72% dos "intelectuais de rede social" citam livros que nunca leram além do título (Fonte: Pesquisa Informal do Twitter, 2023).
- Obras citadas como troféu: "1984" (para chamar Bolsonaro de Big Brother), "O Capital" (para justificar o NFT da Gal Gadot), e "Feminismo para os 99%" (para atacar homens heterossexuais que usam sandália de dedo).

Pergunta Incômoda: Se ler Marx fosse garantia de racionalidade, por que a União Soviética acabou em pizza (literalmente, considerando a economia deles)?

Quando a autoimagem colide com a realidade (Ou: por que nenhum esquerdista lassa no teste de turing da coerência)

A esquerda adora se pintar como a Última Trincheira da Razão, mas pratica o que critica:
- Exemplo 1: Defendem "ciência" quando convém (vacinas), mas abraçam pseudociência quando é trendy (cristais energéticos contra o capitalismo).
- Exemplo 2: Chamam a direita de "terraplanista", mas acham que inflação se resolve com tabelamento estatal — a versão econômica de "a Terra é sustentada por tartarugas".
- Exemplo 3: Criticam "fake news", mas compartilham teorias de que o agro "envenena a comida" (enquanto comem sushi de supermercado).

Frase-Chave: "Racionalidade seletiva é o novo analfabetismo funcional."

Pergunta Final: Se a esquerda é tão racional, por que não usa a "lógica implacável" para resolver algo além do enquadro perfeito de stories no Instagram?

Enfim

O debate "esquerda racional vs. direita irracional" é só mais um episódio da novela "Brasil: O País que Confunde Opinião com Ataque de Ego". Enquanto uns brincam de "quem tem o QI mais alto", o país queima — literalmente, considerando o Pantanal. Talvez a verdadeira irracionalidade seja gastar energia discutindo superioridade moral enquanto o Wi-Fi cai pela décima vez no dia. Racionalidade não tem lado político. Arrogância, por outro lado, é universal. Sua necessidade de se sentir superior só prova que a lacração é o último refúgio dos fracos de argumento. Agora deviam estudar economia básica — ou pelo menos que parem de achar que "Ah, mas o capitalismo!" é um contra-argumento.

Saudade da época em que a esquerda não se fingia de intelectual.

@ 4857600b:30b502f4

Mitch McConnell, a senior Republican senator, announced he will not seek reelection.

At 83 years old and with health issues, this decision was expected. After seven terms, he leaves a significant legacy in U.S. politics, known for his strategic maneuvering.

McConnell stated, “My current term in the Senate will be my last.” His retirement marks the end of an influential political era.

@ 94a6a78a:0ddf320e

Nostr is a revolutionary protocol that enables decentralized, censorship-resistant communication. Unlike traditional social networks controlled by corporations, Nostr operates without central servers or gatekeepers. This openness makes it incredibly powerful—but also means its success depends entirely on users, developers, and relay operators.

If you believe in free speech, decentralization, and an open internet, there are many ways to support and strengthen the Nostr ecosystem. Whether you're a casual user, a developer, or someone looking to contribute financially, every effort helps build a more robust network.

Here’s how you can get involved and make a difference.

---

1️⃣ Use Nostr Daily

The simplest and most effective way to contribute to Nostr is by using it regularly. The more active users, the stronger and more valuable the network becomes.

✅ Post, comment, and zap (send micro-payments via Bitcoin’s Lightning Network) to keep conversations flowing.\ ✅ Engage with new users and help them understand how Nostr works.\ ✅ Try different Nostr clients like Damus, Amethyst, Snort, or Primal and provide feedback to improve the experience.

Your activity keeps the network alive and helps encourage more developers and relay operators to invest in the ecosystem.

---

2️⃣ Run Your Own Nostr Relay

Relays are the backbone of Nostr, responsible for distributing messages across the network. The more independent relays exist, the stronger and more censorship-resistant Nostr becomes.

✅ Set up your own relay to help decentralize the network further.\ ✅ Experiment with relay configurations and different performance optimizations.\ ✅ Offer public or private relay services to users looking for high-quality infrastructure.

If you're not technical, you can still support relay operators by subscribing to a paid relay or donating to open-source relay projects.

---

3️⃣ Support Paid Relays & Infrastructure

Free relays have helped Nostr grow, but they struggle with spam, slow speeds, and sustainability issues. Paid relays help fund better infrastructure, faster message delivery, and a more reliable experience.

✅ Subscribe to a paid relay to help keep it running.\ ✅ Use premium services like media hosting (e.g., Azzamo Blossom) to decentralize content storage.\ ✅ Donate to relay operators who invest in long-term infrastructure.

By funding Nostr’s decentralized backbone, you help ensure its longevity and reliability.

---

4️⃣ Zap Developers, Creators & Builders

Many people contribute to Nostr without direct financial compensation—developers who build clients, relay operators, educators, and content creators. You can support them with zaps! ⚡

✅ Find developers working on Nostr projects and send them a zap.\ ✅ Support content creators and educators who spread awareness about Nostr.\ ✅ Encourage builders by donating to open-source projects.

Micro-payments via the Lightning Network make it easy to directly support the people who make Nostr better.

---

5️⃣ Develop New Nostr Apps & Tools

If you're a developer, you can build on Nostr’s open protocol to create new apps, bots, or tools. Nostr is permissionless, meaning anyone can develop for it.

✅ Create new Nostr clients with unique features and user experiences.\ ✅ Build bots or automation tools that improve engagement and usability.\ ✅ Experiment with decentralized identity, authentication, and encryption to make Nostr even stronger.

With no corporate gatekeepers, your projects can help shape the future of decentralized social media.

---

6️⃣ Promote & Educate Others About Nostr

Adoption grows when more people understand and use Nostr. You can help by spreading awareness and creating educational content.

✅ Write blogs, guides, and tutorials explaining how to use Nostr.\ ✅ Make videos or social media posts introducing new users to the protocol.\ ✅ Host discussions, Twitter Spaces, or workshops to onboard more people.

The more people understand and trust Nostr, the stronger the ecosystem becomes.

---

7️⃣ Support Open-Source Nostr Projects

Many Nostr tools and clients are built by volunteers, and open-source projects thrive on community support.

✅ Contribute code to existing Nostr projects on GitHub.\ ✅ Report bugs and suggest features to improve Nostr clients.\ ✅ Donate to developers who keep Nostr free and open for everyone.

If you're not a developer, you can still help with testing, translations, and documentation to make projects more accessible.

---

🚀 Every Contribution Strengthens Nostr

Whether you:

✔️ Post and engage daily\ ✔️ Zap creators and developers\ ✔️ Run or support relays\ ✔️ Build new apps and tools\ ✔️ Educate and onboard new users

Every action helps make Nostr more resilient, decentralized, and unstoppable.

Nostr isn’t just another social network—it’s a movement toward a free and open internet. If you believe in digital freedom, privacy, and decentralization, now is the time to get involved.

@ daa41bed:88f54153

There has been a good bit of discussion on Nostr over the past few days about the merits of zaps as a method of engaging with notes, so after writing a rather lengthy article on the pros of a strategic Bitcoin reserve, I wanted to take some time to chime in on the much more fun topic of digital engagement.

Let's begin by defining a couple of things:

Nostr is a decentralized, censorship-resistance protocol whose current biggest use case is social media (think Twitter/X). Instead of relying on company servers, it relies on relays that anyone can spin up and own their own content. Its use cases are much bigger, though, and this article is hosted on my own relay, using my own Nostr relay as an example.

Zap is a tip or donation denominated in sats (small units of Bitcoin) sent from one user to another. This is generally done directly over the Lightning Network but is increasingly using Cashu tokens. For the sake of this discussion, how you transmit/receive zaps will be irrelevant, so don't worry if you don't know what Lightning or Cashu are.

If we look at how users engage with posts and follows/followers on platforms like Twitter, Facebook, etc., it becomes evident that traditional social media thrives on engagement farming. The more outrageous a post, the more likely it will get a reaction. We see a version of this on more visual social platforms like YouTube and TikTok that use carefully crafted thumbnail images to grab the user's attention to click the video. If you'd like to dive deep into the psychology and science behind social media engagement, let me know, and I'd be happy to follow up with another article.

In this user engagement model, a user is given the option to comment or like the original post, or share it among their followers to increase its signal. They receive no value from engaging with the content aside from the dopamine hit of the original experience or having their comment liked back by whatever influencer they provide value to. Ad revenue flows to the content creator. Clout flows to the content creator. Sales revenue from merch and content placement flows to the content creator. We call this a linear economy -- the idea that resources get created, used up, then thrown away. Users create content and farm as much engagement as possible, then the content is forgotten within a few hours as they move on to the next piece of content to be farmed.

What if there were a simple way to give value back to those who engage with your content? By implementing some value-for-value model -- a circular economy. Enter zaps.

Unlike traditional social media platforms, Nostr does not actively use algorithms to determine what content is popular, nor does it push content created for active user engagement to the top of a user's timeline. Yes, there are "trending" and "most zapped" timelines that users can choose to use as their default, but these use relatively straightforward engagement metrics to rank posts for these timelines.

That is not to say that we may not see clients actively seeking to refine timeline algorithms for specific metrics. Still, the beauty of having an open protocol with media that is controlled solely by its users is that users who begin to see their timeline gamed towards specific algorithms can choose to move to another client, and for those who are more tech-savvy, they can opt to run their own relays or create their own clients with personalized algorithms and web of trust scoring systems.

Zaps enable the means to create a new type of social media economy in which creators can earn for creating content and users can earn by actively engaging with it. Like and reposting content is relatively frictionless and costs nothing but a simple button tap. Zaps provide active engagement because they signal to your followers and those of the content creator that this post has genuine value, quite literally in the form of money—sats.

I have seen some comments on Nostr claiming that removing likes and reactions is for wealthy people who can afford to send zaps and that the majority of people in the US and around the world do not have the time or money to zap because they have better things to spend their money like feeding their families and paying their bills. While at face value, these may seem like valid arguments, they, unfortunately, represent the brainwashed, defeatist attitude that our current economic (and, by extension, social media) systems aim to instill in all of us to continue extracting value from our lives.

Imagine now, if those people dedicating their own time (time = money) to mine pity points on social media would instead spend that time with genuine value creation by posting content that is meaningful to cultural discussions. Imagine if, instead of complaining that their posts get no zaps and going on a tirade about how much of a victim they are, they would empower themselves to take control of their content and give value back to the world; where would that leave us? How much value could be created on a nascent platform such as Nostr, and how quickly could it overtake other platforms?

Other users argue about user experience and that additional friction (i.e., zaps) leads to lower engagement, as proven by decades of studies on user interaction. While the added friction may turn some users away, does that necessarily provide less value? I argue quite the opposite. You haven't made a few sats from zaps with your content? Can't afford to send some sats to a wallet for zapping? How about using the most excellent available resource and spending 10 seconds of your time to leave a comment? Likes and reactions are valueless transactions. Social media's real value derives from providing monetary compensation and actively engaging in a conversation with posts you find interesting or thought-provoking. Remember when humans thrived on conversation and discussion for entertainment instead of simply being an onlooker of someone else's life?

If you've made it this far, my only request is this: try only zapping and commenting as a method of engagement for two weeks. Sure, you may end up liking a post here and there, but be more mindful of how you interact with the world and break yourself from blind instinct. You'll thank me later.

@ 91bea5cd:1df4451c

Definição de ULID:

Timestamp 48 bits, Aleatoriedade 80 bits Sendo Timestamp 48 bits inteiro, tempo UNIX em milissegundos, Não ficará sem espaço até o ano 10889 d.C. e Aleatoriedade 80 bits, Fonte criptograficamente segura de aleatoriedade, se possível.

Gerar ULID

```sql

CREATE EXTENSION IF NOT EXISTS pgcrypto;

CREATE FUNCTION generate_ulid() RETURNS TEXT AS $$ DECLARE -- Crockford's Base32 encoding BYTEA = '0123456789ABCDEFGHJKMNPQRSTVWXYZ'; timestamp BYTEA = E'\000\000\000\000\000\000'; output TEXT = '';

unix_time BIGINT; ulid BYTEA; BEGIN -- 6 timestamp bytes unix_time = (EXTRACT(EPOCH FROM CLOCK_TIMESTAMP()) * 1000)::BIGINT; timestamp = SET_BYTE(timestamp, 0, (unix_time >> 40)::BIT(8)::INTEGER); timestamp = SET_BYTE(timestamp, 1, (unix_time >> 32)::BIT(8)::INTEGER); timestamp = SET_BYTE(timestamp, 2, (unix_time >> 24)::BIT(8)::INTEGER); timestamp = SET_BYTE(timestamp, 3, (unix_time >> 16)::BIT(8)::INTEGER); timestamp = SET_BYTE(timestamp, 4, (unix_time >> 8)::BIT(8)::INTEGER); timestamp = SET_BYTE(timestamp, 5, unix_time::BIT(8)::INTEGER);

-- 10 entropy bytes ulid = timestamp || gen_random_bytes(10);

-- Encode the timestamp output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 0) & 224) >> 5)); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 0) & 31))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 1) & 248) >> 3)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 1) & 7) << 2) | ((GET_BYTE(ulid, 2) & 192) >> 6))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 2) & 62) >> 1)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 2) & 1) << 4) | ((GET_BYTE(ulid, 3) & 240) >> 4))); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 3) & 15) << 1) | ((GET_BYTE(ulid, 4) & 128) >> 7))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 4) & 124) >> 2)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 4) & 3) << 3) | ((GET_BYTE(ulid, 5) & 224) >> 5))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 5) & 31)));

-- Encode the entropy output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 6) & 248) >> 3)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 6) & 7) << 2) | ((GET_BYTE(ulid, 7) & 192) >> 6))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 7) & 62) >> 1)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 7) & 1) << 4) | ((GET_BYTE(ulid, 8) & 240) >> 4))); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 8) & 15) << 1) | ((GET_BYTE(ulid, 9) & 128) >> 7))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 9) & 124) >> 2)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 9) & 3) << 3) | ((GET_BYTE(ulid, 10) & 224) >> 5))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 10) & 31))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 11) & 248) >> 3)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 11) & 7) << 2) | ((GET_BYTE(ulid, 12) & 192) >> 6))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 12) & 62) >> 1)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 12) & 1) << 4) | ((GET_BYTE(ulid, 13) & 240) >> 4))); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 13) & 15) << 1) | ((GET_BYTE(ulid, 14) & 128) >> 7))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 14) & 124) >> 2)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 14) & 3) << 3) | ((GET_BYTE(ulid, 15) & 224) >> 5))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 15) & 31)));

RETURN output; END $$ LANGUAGE plpgsql VOLATILE; ```

ULID TO UUID

```sql CREATE OR REPLACE FUNCTION parse_ulid(ulid text) RETURNS bytea AS $$ DECLARE -- 16byte bytes bytea = E'\x00000000 00000000 00000000 00000000'; v char[]; -- Allow for O(1) lookup of index values dec integer[] = ARRAY[ 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 255, 255, 255, 255, 255, 255, 255, 10, 11, 12, 13, 14, 15, 16, 17, 1, 18, 19, 1, 20, 21, 0, 22, 23, 24, 25, 26, 255, 27, 28, 29, 30, 31, 255, 255, 255, 255, 255, 255, 10, 11, 12, 13, 14, 15, 16, 17, 1, 18, 19, 1, 20, 21, 0, 22, 23, 24, 25, 26, 255, 27, 28, 29, 30, 31 ]; BEGIN IF NOT ulid ~* '^[0-7][0-9ABCDEFGHJKMNPQRSTVWXYZ]{25}$' THEN RAISE EXCEPTION 'Invalid ULID: %', ulid; END IF;

v = regexp_split_to_array(ulid, '');

-- 6 bytes timestamp (48 bits) bytes = SET_BYTE(bytes, 0, (dec[ASCII(v[1])] << 5) | dec[ASCII(v[2])]); bytes = SET_BYTE(bytes, 1, (dec[ASCII(v[3])] << 3) | (dec[ASCII(v[4])] >> 2)); bytes = SET_BYTE(bytes, 2, (dec[ASCII(v[4])] << 6) | (dec[ASCII(v[5])] << 1) | (dec[ASCII(v[6])] >> 4)); bytes = SET_BYTE(bytes, 3, (dec[ASCII(v[6])] << 4) | (dec[ASCII(v[7])] >> 1)); bytes = SET_BYTE(bytes, 4, (dec[ASCII(v[7])] << 7) | (dec[ASCII(v[8])] << 2) | (dec[ASCII(v[9])] >> 3)); bytes = SET_BYTE(bytes, 5, (dec[ASCII(v[9])] << 5) | dec[ASCII(v[10])]);

-- 10 bytes of entropy (80 bits); bytes = SET_BYTE(bytes, 6, (dec[ASCII(v[11])] << 3) | (dec[ASCII(v[12])] >> 2)); bytes = SET_BYTE(bytes, 7, (dec[ASCII(v[12])] << 6) | (dec[ASCII(v[13])] << 1) | (dec[ASCII(v[14])] >> 4)); bytes = SET_BYTE(bytes, 8, (dec[ASCII(v[14])] << 4) | (dec[ASCII(v[15])] >> 1)); bytes = SET_BYTE(bytes, 9, (dec[ASCII(v[15])] << 7) | (dec[ASCII(v[16])] << 2) | (dec[ASCII(v[17])] >> 3)); bytes = SET_BYTE(bytes, 10, (dec[ASCII(v[17])] << 5) | dec[ASCII(v[18])]); bytes = SET_BYTE(bytes, 11, (dec[ASCII(v[19])] << 3) | (dec[ASCII(v[20])] >> 2)); bytes = SET_BYTE(bytes, 12, (dec[ASCII(v[20])] << 6) | (dec[ASCII(v[21])] << 1) | (dec[ASCII(v[22])] >> 4)); bytes = SET_BYTE(bytes, 13, (dec[ASCII(v[22])] << 4) | (dec[ASCII(v[23])] >> 1)); bytes = SET_BYTE(bytes, 14, (dec[ASCII(v[23])] << 7) | (dec[ASCII(v[24])] << 2) | (dec[ASCII(v[25])] >> 3)); bytes = SET_BYTE(bytes, 15, (dec[ASCII(v[25])] << 5) | dec[ASCII(v[26])]);

RETURN bytes; END $$ LANGUAGE plpgsql IMMUTABLE;

CREATE OR REPLACE FUNCTION ulid_to_uuid(ulid text) RETURNS uuid AS $$ BEGIN RETURN encode(parse_ulid(ulid), 'hex')::uuid; END $$ LANGUAGE plpgsql IMMUTABLE; ```

UUID to ULID

```sql CREATE OR REPLACE FUNCTION uuid_to_ulid(id uuid) RETURNS text AS $$ DECLARE encoding bytea = '0123456789ABCDEFGHJKMNPQRSTVWXYZ'; output text = ''; uuid_bytes bytea = uuid_send(id); BEGIN

-- Encode the timestamp output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 0) & 224) >> 5)); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 0) & 31))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 1) & 248) >> 3)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 1) & 7) << 2) | ((GET_BYTE(uuid_bytes, 2) & 192) >> 6))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 2) & 62) >> 1)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 2) & 1) << 4) | ((GET_BYTE(uuid_bytes, 3) & 240) >> 4))); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 3) & 15) << 1) | ((GET_BYTE(uuid_bytes, 4) & 128) >> 7))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 4) & 124) >> 2)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 4) & 3) << 3) | ((GET_BYTE(uuid_bytes, 5) & 224) >> 5))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 5) & 31)));

-- Encode the entropy output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 6) & 248) >> 3)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 6) & 7) << 2) | ((GET_BYTE(uuid_bytes, 7) & 192) >> 6))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 7) & 62) >> 1)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 7) & 1) << 4) | ((GET_BYTE(uuid_bytes, 8) & 240) >> 4))); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 8) & 15) << 1) | ((GET_BYTE(uuid_bytes, 9) & 128) >> 7))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 9) & 124) >> 2)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 9) & 3) << 3) | ((GET_BYTE(uuid_bytes, 10) & 224) >> 5))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 10) & 31))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 11) & 248) >> 3)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 11) & 7) << 2) | ((GET_BYTE(uuid_bytes, 12) & 192) >> 6))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 12) & 62) >> 1)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 12) & 1) << 4) | ((GET_BYTE(uuid_bytes, 13) & 240) >> 4))); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 13) & 15) << 1) | ((GET_BYTE(uuid_bytes, 14) & 128) >> 7))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 14) & 124) >> 2)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 14) & 3) << 3) | ((GET_BYTE(uuid_bytes, 15) & 224) >> 5))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 15) & 31)));

RETURN output; END $$ LANGUAGE plpgsql IMMUTABLE; ```

Gera 11 Digitos aleatórios: YBKXG0CKTH4

```sql -- Cria a extensão pgcrypto para gerar uuid CREATE EXTENSION IF NOT EXISTS pgcrypto;

-- Cria a função para gerar ULID CREATE OR REPLACE FUNCTION gen_lrandom() RETURNS TEXT AS $$ DECLARE ts_millis BIGINT; ts_chars TEXT; random_bytes BYTEA; random_chars TEXT; base32_chars TEXT := '0123456789ABCDEFGHJKMNPQRSTVWXYZ'; i INT; BEGIN -- Pega o timestamp em milissegundos ts_millis := FLOOR(EXTRACT(EPOCH FROM clock_timestamp()) * 1000)::BIGINT;

-- Converte o timestamp para base32
ts_chars := '';
FOR i IN REVERSE 0..11 LOOP
    ts_chars := ts_chars || substr(base32_chars, ((ts_millis >> (5 * i)) & 31) + 1, 1);
END LOOP;

-- Gera 10 bytes aleatórios e converte para base32
random_bytes := gen_random_bytes(10);
random_chars := '';
FOR i IN 0..9 LOOP
    random_chars := random_chars || substr(base32_chars, ((get_byte(random_bytes, i) >> 3) & 31) + 1, 1);
    IF i < 9 THEN
        random_chars := random_chars || substr(base32_chars, (((get_byte(random_bytes, i) & 7) << 2) | (get_byte(random_bytes, i + 1) >> 6)) & 31 + 1, 1);
    ELSE
        random_chars := random_chars || substr(base32_chars, ((get_byte(random_bytes, i) & 7) << 2) + 1, 1);
    END IF;
END LOOP;

-- Concatena o timestamp e os caracteres aleatórios
RETURN ts_chars || random_chars;

END; $$ LANGUAGE plpgsql; ```

Exemplo de USO

```sql -- Criação da extensão caso não exista CREATE EXTENSION IF NOT EXISTS pgcrypto; -- Criação da tabela pessoas CREATE TABLE pessoas ( ID UUID DEFAULT gen_random_uuid ( ) PRIMARY KEY, nome TEXT NOT NULL );

-- Busca Pessoa na tabela SELECT * FROM "pessoas" WHERE uuid_to_ulid ( ID ) = '252FAC9F3V8EF80SSDK8PXW02F'; ```

Fontes

• https://github.com/scoville/pgsql-ulid
• https://github.com/geckoboard/pgulid

@ 91bea5cd:1df4451c

Definição de ULID:

Timestamp 48 bits, Aleatoriedade 80 bits Sendo Timestamp 48 bits inteiro, tempo UNIX em milissegundos, Não ficará sem espaço até o ano 10889 d.C. e Aleatoriedade 80 bits, Fonte criptograficamente segura de aleatoriedade, se possível.

Gerar ULID

```sql

CREATE EXTENSION IF NOT EXISTS pgcrypto;

CREATE FUNCTION generate_ulid() RETURNS TEXT AS $$ DECLARE -- Crockford's Base32 encoding BYTEA = '0123456789ABCDEFGHJKMNPQRSTVWXYZ'; timestamp BYTEA = E'\000\000\000\000\000\000'; output TEXT = '';

unix_time BIGINT; ulid BYTEA; BEGIN -- 6 timestamp bytes unix_time = (EXTRACT(EPOCH FROM CLOCK_TIMESTAMP()) * 1000)::BIGINT; timestamp = SET_BYTE(timestamp, 0, (unix_time >> 40)::BIT(8)::INTEGER); timestamp = SET_BYTE(timestamp, 1, (unix_time >> 32)::BIT(8)::INTEGER); timestamp = SET_BYTE(timestamp, 2, (unix_time >> 24)::BIT(8)::INTEGER); timestamp = SET_BYTE(timestamp, 3, (unix_time >> 16)::BIT(8)::INTEGER); timestamp = SET_BYTE(timestamp, 4, (unix_time >> 8)::BIT(8)::INTEGER); timestamp = SET_BYTE(timestamp, 5, unix_time::BIT(8)::INTEGER);

-- 10 entropy bytes ulid = timestamp || gen_random_bytes(10);

-- Encode the timestamp output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 0) & 224) >> 5)); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 0) & 31))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 1) & 248) >> 3)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 1) & 7) << 2) | ((GET_BYTE(ulid, 2) & 192) >> 6))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 2) & 62) >> 1)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 2) & 1) << 4) | ((GET_BYTE(ulid, 3) & 240) >> 4))); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 3) & 15) << 1) | ((GET_BYTE(ulid, 4) & 128) >> 7))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 4) & 124) >> 2)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 4) & 3) << 3) | ((GET_BYTE(ulid, 5) & 224) >> 5))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 5) & 31)));

-- Encode the entropy output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 6) & 248) >> 3)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 6) & 7) << 2) | ((GET_BYTE(ulid, 7) & 192) >> 6))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 7) & 62) >> 1)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 7) & 1) << 4) | ((GET_BYTE(ulid, 8) & 240) >> 4))); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 8) & 15) << 1) | ((GET_BYTE(ulid, 9) & 128) >> 7))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 9) & 124) >> 2)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 9) & 3) << 3) | ((GET_BYTE(ulid, 10) & 224) >> 5))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 10) & 31))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 11) & 248) >> 3)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 11) & 7) << 2) | ((GET_BYTE(ulid, 12) & 192) >> 6))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 12) & 62) >> 1)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 12) & 1) << 4) | ((GET_BYTE(ulid, 13) & 240) >> 4))); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 13) & 15) << 1) | ((GET_BYTE(ulid, 14) & 128) >> 7))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 14) & 124) >> 2)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(ulid, 14) & 3) << 3) | ((GET_BYTE(ulid, 15) & 224) >> 5))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(ulid, 15) & 31)));

RETURN output; END $$ LANGUAGE plpgsql VOLATILE; ```

ULID TO UUID

```sql CREATE OR REPLACE FUNCTION parse_ulid(ulid text) RETURNS bytea AS $$ DECLARE -- 16byte bytes bytea = E'\x00000000 00000000 00000000 00000000'; v char[]; -- Allow for O(1) lookup of index values dec integer[] = ARRAY[ 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 255, 255, 255, 255, 255, 255, 255, 10, 11, 12, 13, 14, 15, 16, 17, 1, 18, 19, 1, 20, 21, 0, 22, 23, 24, 25, 26, 255, 27, 28, 29, 30, 31, 255, 255, 255, 255, 255, 255, 10, 11, 12, 13, 14, 15, 16, 17, 1, 18, 19, 1, 20, 21, 0, 22, 23, 24, 25, 26, 255, 27, 28, 29, 30, 31 ]; BEGIN IF NOT ulid ~* '^[0-7][0-9ABCDEFGHJKMNPQRSTVWXYZ]{25}$' THEN RAISE EXCEPTION 'Invalid ULID: %', ulid; END IF;

v = regexp_split_to_array(ulid, '');

-- 6 bytes timestamp (48 bits) bytes = SET_BYTE(bytes, 0, (dec[ASCII(v[1])] << 5) | dec[ASCII(v[2])]); bytes = SET_BYTE(bytes, 1, (dec[ASCII(v[3])] << 3) | (dec[ASCII(v[4])] >> 2)); bytes = SET_BYTE(bytes, 2, (dec[ASCII(v[4])] << 6) | (dec[ASCII(v[5])] << 1) | (dec[ASCII(v[6])] >> 4)); bytes = SET_BYTE(bytes, 3, (dec[ASCII(v[6])] << 4) | (dec[ASCII(v[7])] >> 1)); bytes = SET_BYTE(bytes, 4, (dec[ASCII(v[7])] << 7) | (dec[ASCII(v[8])] << 2) | (dec[ASCII(v[9])] >> 3)); bytes = SET_BYTE(bytes, 5, (dec[ASCII(v[9])] << 5) | dec[ASCII(v[10])]);

-- 10 bytes of entropy (80 bits); bytes = SET_BYTE(bytes, 6, (dec[ASCII(v[11])] << 3) | (dec[ASCII(v[12])] >> 2)); bytes = SET_BYTE(bytes, 7, (dec[ASCII(v[12])] << 6) | (dec[ASCII(v[13])] << 1) | (dec[ASCII(v[14])] >> 4)); bytes = SET_BYTE(bytes, 8, (dec[ASCII(v[14])] << 4) | (dec[ASCII(v[15])] >> 1)); bytes = SET_BYTE(bytes, 9, (dec[ASCII(v[15])] << 7) | (dec[ASCII(v[16])] << 2) | (dec[ASCII(v[17])] >> 3)); bytes = SET_BYTE(bytes, 10, (dec[ASCII(v[17])] << 5) | dec[ASCII(v[18])]); bytes = SET_BYTE(bytes, 11, (dec[ASCII(v[19])] << 3) | (dec[ASCII(v[20])] >> 2)); bytes = SET_BYTE(bytes, 12, (dec[ASCII(v[20])] << 6) | (dec[ASCII(v[21])] << 1) | (dec[ASCII(v[22])] >> 4)); bytes = SET_BYTE(bytes, 13, (dec[ASCII(v[22])] << 4) | (dec[ASCII(v[23])] >> 1)); bytes = SET_BYTE(bytes, 14, (dec[ASCII(v[23])] << 7) | (dec[ASCII(v[24])] << 2) | (dec[ASCII(v[25])] >> 3)); bytes = SET_BYTE(bytes, 15, (dec[ASCII(v[25])] << 5) | dec[ASCII(v[26])]);

RETURN bytes; END $$ LANGUAGE plpgsql IMMUTABLE;

CREATE OR REPLACE FUNCTION ulid_to_uuid(ulid text) RETURNS uuid AS $$ BEGIN RETURN encode(parse_ulid(ulid), 'hex')::uuid; END $$ LANGUAGE plpgsql IMMUTABLE; ```

UUID to ULID

```sql CREATE OR REPLACE FUNCTION uuid_to_ulid(id uuid) RETURNS text AS $$ DECLARE encoding bytea = '0123456789ABCDEFGHJKMNPQRSTVWXYZ'; output text = ''; uuid_bytes bytea = uuid_send(id); BEGIN

-- Encode the timestamp output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 0) & 224) >> 5)); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 0) & 31))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 1) & 248) >> 3)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 1) & 7) << 2) | ((GET_BYTE(uuid_bytes, 2) & 192) >> 6))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 2) & 62) >> 1)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 2) & 1) << 4) | ((GET_BYTE(uuid_bytes, 3) & 240) >> 4))); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 3) & 15) << 1) | ((GET_BYTE(uuid_bytes, 4) & 128) >> 7))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 4) & 124) >> 2)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 4) & 3) << 3) | ((GET_BYTE(uuid_bytes, 5) & 224) >> 5))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 5) & 31)));

-- Encode the entropy output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 6) & 248) >> 3)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 6) & 7) << 2) | ((GET_BYTE(uuid_bytes, 7) & 192) >> 6))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 7) & 62) >> 1)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 7) & 1) << 4) | ((GET_BYTE(uuid_bytes, 8) & 240) >> 4))); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 8) & 15) << 1) | ((GET_BYTE(uuid_bytes, 9) & 128) >> 7))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 9) & 124) >> 2)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 9) & 3) << 3) | ((GET_BYTE(uuid_bytes, 10) & 224) >> 5))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 10) & 31))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 11) & 248) >> 3)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 11) & 7) << 2) | ((GET_BYTE(uuid_bytes, 12) & 192) >> 6))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 12) & 62) >> 1)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 12) & 1) << 4) | ((GET_BYTE(uuid_bytes, 13) & 240) >> 4))); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 13) & 15) << 1) | ((GET_BYTE(uuid_bytes, 14) & 128) >> 7))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 14) & 124) >> 2)); output = output || CHR(GET_BYTE(encoding, ((GET_BYTE(uuid_bytes, 14) & 3) << 3) | ((GET_BYTE(uuid_bytes, 15) & 224) >> 5))); output = output || CHR(GET_BYTE(encoding, (GET_BYTE(uuid_bytes, 15) & 31)));

RETURN output; END $$ LANGUAGE plpgsql IMMUTABLE; ```

Gera 11 Digitos aleatórios: YBKXG0CKTH4

```sql -- Cria a extensão pgcrypto para gerar uuid CREATE EXTENSION IF NOT EXISTS pgcrypto;

-- Cria a função para gerar ULID CREATE OR REPLACE FUNCTION gen_lrandom() RETURNS TEXT AS $$ DECLARE ts_millis BIGINT; ts_chars TEXT; random_bytes BYTEA; random_chars TEXT; base32_chars TEXT := '0123456789ABCDEFGHJKMNPQRSTVWXYZ'; i INT; BEGIN -- Pega o timestamp em milissegundos ts_millis := FLOOR(EXTRACT(EPOCH FROM clock_timestamp()) * 1000)::BIGINT;

-- Converte o timestamp para base32
ts_chars := '';
FOR i IN REVERSE 0..11 LOOP
    ts_chars := ts_chars || substr(base32_chars, ((ts_millis >> (5 * i)) & 31) + 1, 1);
END LOOP;

-- Gera 10 bytes aleatórios e converte para base32
random_bytes := gen_random_bytes(10);
random_chars := '';
FOR i IN 0..9 LOOP
    random_chars := random_chars || substr(base32_chars, ((get_byte(random_bytes, i) >> 3) & 31) + 1, 1);
    IF i < 9 THEN
        random_chars := random_chars || substr(base32_chars, (((get_byte(random_bytes, i) & 7) << 2) | (get_byte(random_bytes, i + 1) >> 6)) & 31 + 1, 1);
    ELSE
        random_chars := random_chars || substr(base32_chars, ((get_byte(random_bytes, i) & 7) << 2) + 1, 1);
    END IF;
END LOOP;

-- Concatena o timestamp e os caracteres aleatórios
RETURN ts_chars || random_chars;

END; $$ LANGUAGE plpgsql; ```

Exemplo de USO

```sql -- Criação da extensão caso não exista CREATE EXTENSION IF NOT EXISTS pgcrypto; -- Criação da tabela pessoas CREATE TABLE pessoas ( ID UUID DEFAULT gen_random_uuid ( ) PRIMARY KEY, nome TEXT NOT NULL );

-- Busca Pessoa na tabela SELECT * FROM "pessoas" WHERE uuid_to_ulid ( ID ) = '252FAC9F3V8EF80SSDK8PXW02F'; ```

Fontes

• https://github.com/scoville/pgsql-ulid
• https://github.com/geckoboard/pgulid

@ e3ba5e1a:5e433365

President Trump has started rolling out his tariffs, something I blogged about in November. People are talking about these tariffs a lot right now, with many people (correctly) commenting on how consumers will end up with higher prices as a result of these tariffs. While that part is true, I’ve seen a lot of people taking it to the next, incorrect step: that consumers will pay the entirety of the tax. I put up a poll on X to see what people thought, and while the right answer got a lot of votes, it wasn't the winner.

For purposes of this blog post, our ultimate question will be the following:

• Suppose apples currently sell for $1 each in the entire United States.
• There are domestic sellers and foreign sellers of apples, all receiving the same price.
• There are no taxes or tariffs on the purchase of apples.
• The question is: if the US federal government puts a $0.50 import tariff per apple, what will be the change in the following:
• Number of apples bought in the US
• Price paid by buyers for apples in the US
• Post-tax price received by domestic apple producers
• Post-tax price received by foreign apple producers

Before we can answer that question, we need to ask an easier, first question: before instituting the tariff, why do apples cost $1?

And finally, before we dive into the details, let me provide you with the answers to the ultimate question. I recommend you try to guess these answers before reading this, and if you get it wrong, try to understand why:

1. The number of apples bought will go down
2. The buyers will pay more for each apple they buy, but not the full amount of the tariff
3. Domestic apple sellers will receive a higher price per apple
4. Foreign apple sellers will receive a lower price per apple, but not lowered by the full amount of the tariff

In other words, regardless of who sends the payment to the government, both taxed parties (domestic buyers and foreign sellers) will absorb some of the costs of the tariff, while domestic sellers will benefit from the protectionism provided by tariffs and be able to sell at a higher price per unit.

Marginal benefit

All of the numbers discussed below are part of a helper Google Sheet I put together for this analysis. Also, apologies about the jagged lines in the charts below, I hadn’t realized before starting on this that there are some difficulties with creating supply and demand charts in Google Sheets.

Let’s say I absolutely love apples, they’re my favorite food. How much would I be willing to pay for a single apple? You might say “$1, that’s the price in the supermarket,” and in many ways you’d be right. If I walk into supermarket A, see apples on sale for $50, and know that I can buy them at supermarket B for $1, I’ll almost certainly leave A and go buy at B.

But that’s not what I mean. What I mean is: how high would the price of apples have to go everywhere so that I’d no longer be willing to buy a single apple? This is a purely personal, subjective opinion. It’s impacted by how much money I have available, other expenses I need to cover, and how much I like apples. But let’s say the number is $5.

How much would I be willing to pay for another apple? Maybe another $5. But how much am I willing to pay for the 1,000th apple? 10,000th? At some point, I’ll get sick of apples, or run out of space to keep the apples, or not be able to eat, cook, and otherwise preserve all those apples before they rot.

The point being: I’ll be progressively willing to spend less and less money for each apple. This form of analysis is called marginal benefit: how much benefit (expressed as dollars I’m willing to spend) will I receive from each apple? This is a downward sloping function: for each additional apple I buy (quantity demanded), the price I’m willing to pay goes down. This is what gives my personal demand curve. And if we aggregate demand curves across all market participants (meaning: everyone interested in buying apples), we end up with something like this:

Assuming no changes in people’s behavior and other conditions in the market, this chart tells us how many apples will be purchased by our buyers at each price point between $0.50 and $5. And ceteris paribus (all else being equal), this will continue to be the demand curve for apples.

Marginal cost

Demand is half the story of economics. The other half is supply, or: how many apples will I sell at each price point? Supply curves are upward sloping: the higher the price, the more a person or company is willing and able to sell a product.

Let’s understand why. Suppose I have an apple orchard. It’s a large property right next to my house. With about 2 minutes of effort, I can walk out of my house, find the nearest tree, pick 5 apples off the tree, and call it a day. 5 apples for 2 minutes of effort is pretty good, right?

Yes, there was all the effort necessary to buy the land, and plant the trees, and water them… and a bunch more than I likely can’t even guess at. We’re going to ignore all of that for our analysis, because for short-term supply-and-demand movement, we can ignore these kinds of sunk costs. One other simplification: in reality, supply curves often start descending before ascending. This accounts for achieving efficiencies of scale after the first number of units purchased. But since both these topics are unneeded for understanding taxes, I won’t go any further.

Anyway, back to my apple orchard. If someone offers me $0.50 per apple, I can do 2 minutes of effort and get $2.50 in revenue, which equates to a $75/hour wage for me. I’m more than happy to pick apples at that price!

However, let’s say someone comes to buy 10,000 apples from me instead. I no longer just walk out to my nearest tree. I’m going to need to get in my truck, drive around, spend the day in the sun, pay for gas, take a day off of my day job (let’s say it pays me $70/hour). The costs go up significantly. Let’s say it takes 5 days to harvest all those apples myself, it costs me $100 in fuel and other expenses, and I lose out on my $70/hour job for 5 days. We end up with:

• Total expenditure: $100 + $70 * 8 hours a day * 5 days \== $2900
• Total revenue: $5000 (10,000 apples at $0.50 each)
• Total profit: $2100

So I’m still willing to sell the apples at this price, but it’s not as attractive as before. And as the number of apples purchased goes up, my costs keep increasing. I’ll need to spend more money on fuel to travel more of my property. At some point I won’t be able to do the work myself anymore, so I’ll need to pay others to work on the farm, and they’ll be slower at picking apples than me (less familiar with the property, less direct motivation, etc.). The point being: at some point, the number of apples can go high enough that the $0.50 price point no longer makes me any money.

This kind of analysis is called marginal cost. It refers to the additional amount of expenditure a seller has to spend in order to produce each additional unit of the good. Marginal costs go up as quantity sold goes up. And like demand curves, if you aggregate this data across all sellers, you get a supply curve like this:

Equilibrium price

We now know, for every price point, how many apples buyers will purchase, and how many apples sellers will sell. Now we find the equilibrium: where the supply and demand curves meet. This point represents where the marginal benefit a buyer would receive from the next buyer would be less than the cost it would take the next seller to make it. Let’s see it in a chart:

You’ll notice that these two graphs cross at the $1 price point, where 63 apples are both demanded (bought by consumers) and supplied (sold by producers). This is our equilibrium price. We also have a visualization of the surplus created by these trades. Everything to the left of the equilibrium point and between the supply and demand curves represents surplus: an area where someone is receiving something of more value than they give. For example:

• When I bought my first apple for $1, but I was willing to spend $5, I made $4 of consumer surplus. The consumer portion of the surplus is everything to the left of the equilibrium point, between the supply and demand curves, and above the equilibrium price point.
• When a seller sells his first apple for $1, but it only cost $0.50 to produce it, the seller made $0.50 of producer surplus. The producer portion of the surplus is everything to the left of the equilibrium point, between the supply and demand curves, and below the equilibrium price point.

Another way of thinking of surplus is “every time someone got a better price than they would have been willing to take.”

OK, with this in place, we now have enough information to figure out how to price in the tariff, which we’ll treat as a negative externality.

Modeling taxes

Alright, the government has now instituted a $0.50 tariff on every apple sold within the US by a foreign producer. We can generally model taxes by either increasing the marginal cost of each unit sold (shifting the supply curve up), or by decreasing the marginal benefit of each unit bought (shifting the demand curve down). In this case, since only some of the producers will pay the tax, it makes more sense to modify the supply curve.

First, let’s see what happens to the foreign seller-only supply curve when you add in the tariff:

With the tariff in place, for each quantity level, the price at which the seller will sell is $0.50 higher than before the tariff. That makes sense: if I was previously willing to sell my 82nd apple for $3, I would now need to charge $3.50 for that apple to cover the cost of the tariff. We see this as the tariff “pushing up” or “pushing left” the original supply curve.

We can add this new supply curve to our existing (unchanged) supply curve for domestic-only sellers, and we end up with a result like this:

The total supply curve adds up the individual foreign and domestic supply curves. At each price point, we add up the total quantity each group would be willing to sell to determine the total quantity supplied for each price point. Once we have that cumulative supply curve defined, we can produce an updated supply-and-demand chart including the tariff:

As we can see, the equilibrium has shifted:

• The equilibrium price paid by consumers has risen from $1 to $1.20.
• The total number of apples purchased has dropped from 63 apples to 60 apples.
• Consumers therefore received 3 less apples. They spent $72 for these 60 apples, whereas previously they spent $63 for 3 more apples, a definite decrease in consumer surplus.
• Foreign producers sold 36 of those apples (see the raw data in the linked Google Sheet), for a gross revenue of $43.20. However, they also need to pay the tariff to the US government, which accounts for $18, meaning they only receive $25.20 post-tariff. Previously, they sold 42 apples at $1 each with no tariff to be paid, meaning they took home $42.
• Domestic producers sold the remaining 24 apples at $1.20, giving them a revenue of $28.80. Since they don’t pay the tariff, they take home all of that money. By contrast, previously, they sold 21 apples at $1, for a take-home of $21.
• The government receives $0.50 for each of the 60 apples sold, or in other words receives $30 in revenue it wouldn’t have received otherwise.

We could be more specific about the surpluses, and calculate the actual areas for consumer surplus, producer surplus, inefficiency from the tariff, and government revenue from the tariff. But I won’t bother, as those calculations get slightly more involved. Instead, let’s just look at the aggregate outcomes:

• Consumers were unquestionably hurt. Their price paid went up by $0.20 per apple, and received less apples.
• Foreign producers were also hurt. Their price received went down from the original $1 to the new post-tariff price of $1.20, minus the $0.50 tariff. In other words: foreign producers only receive $0.70 per apple now. This hurt can be mitigated by shifting sales to other countries without a tariff, but the pain will exist regardless.
• Domestic producers scored. They can sell less apples and make more revenue doing it.
• And the government walked away with an extra $30.

Hopefully you now see the answer to the original questions. Importantly, while the government imposed a $0.50 tariff, neither side fully absorbed that cost. Consumers paid a bit more, foreign producers received a bit less. The exact details of how that tariff was split across the groups is mediated by the relevant supply and demand curves of each group. If you want to learn more about this, the relevant search term is “price elasticity,” or how much a group’s quantity supplied or demanded will change based on changes in the price.

Other taxes

Most taxes are some kind of a tax on trade. Tariffs on apples is an obvious one. But the same applies to income tax (taxing the worker for the trade of labor for money) or payroll tax (same thing, just taxing the employer instead). Interestingly, you can use the same model for analyzing things like tax incentives. For example, if the government decided to subsidize domestic apple production by giving the domestic producers a $0.50 bonus for each apple they sell, we would end up with a similar kind of analysis, except instead of the foreign supply curve shifting up, we’d see the domestic supply curve shifting down.

And generally speaking, this is what you’ll always see with government involvement in the economy. It will result in disrupting an existing equilibrium, letting the market readjust to a new equilibrium, and incentivization of some behavior, causing some people to benefit and others to lose out. We saw with the apple tariff, domestic producers and the government benefited while others lost.

You can see the reverse though with tax incentives. If I give a tax incentive of providing a deduction (not paying income tax) for preschool, we would end up with:

• Government needs to make up the difference in tax revenue, either by raising taxes on others or printing more money (leading to inflation). Either way, those paying the tax or those holding government debased currency will pay a price.
• Those people who don’t use the preschool deduction will receive no benefit, so they simply pay a cost.
• Those who do use the preschool deduction will end up paying less on tax+preschool than they would have otherwise.

This analysis is fully amoral. It’s not saying whether providing subsidized preschool is a good thing or not, it simply tells you where the costs will be felt, and points out that such government interference in free economic choice does result in inefficiencies in the system. Once you have that knowledge, you’re more well educated on making a decision about whether the costs of government intervention are worth the benefits.

@ 9e69e420:d12360c2

Federal employees must remove pronouns from email signatures by the end of the day. This directive comes from internal memos tied to two executive orders signed by Donald Trump. The orders target diversity and equity programs within the government.

CDC, Department of Transportation, and Department of Energy employees were affected. Staff were instructed to make changes in line with revised policy prohibiting certain language.

One CDC employee shared frustration, stating, “In my decade-plus years at CDC, I've never been told what I can and can't put in my email signature.” The directive is part of a broader effort to eliminate DEI initiatives from federal discourse.

@ 2ed3596e:98b4cc78

Bitcoin is the first form of digital money that is controlled by "people" from around the world rather than a central authority, so it can’t be changed arbitrarily, which makes it arguably the most sound form of digital money.

Here are the 5 W’s ( What, Who, Why, When and Where) of bitcoin and what it matters to you:

What is Bitcoin?

Bitcoin is a cryptocurrency. Much like traditional currency, it can be purchased, earned and spent, but all Bitcoin transactions take place online. The Bitcoin network was created to be open-source and decentralized, meaning it is an electronic payment system unencumbered by third parties, such as a bank. This peer-to-peer system prevents a single person or entity from controlling the currency. One bitcoin (BTC) is equivalent to 100,000,000 satoshis (sats). This means that you can own a fraction of a bitcoin, just like cents in a dollar.

Who created Bitcoin?

A programmer using the pseudonym of Satoshi Nakamoto created the protocol for Bitcoin. Nobody really knows who Satoshi is. Some say it might be a collective of people, while others say it is only one person.

The guide Satoshi created also explained the principles of cryptography and how it works to create a trustless payment system. Being trustless may sound spooky, but it simply means that you are not required to trust anyone in order for the system to work.

When was Bitcoin created?

Satoshi laid out the foundation of Bitcoin when they presented the white paper on October 31st, 2008.

This white paper outlined what bitcoin was meant to be in theory. However, the origins of bitcoin date back decades or even millennia in the past. Satoshi created a money and monetary system that contained the best attributes of various successful monetary systems of the past, all combined into a singular system. Then, Satoshi officially launched the fully functional Bitcoin network on January 3rd, 2009 bringing the theory to life.

Why is Bitcoin important?

Bitcoin enables a more financially connected world, where transactions can be sent directly between individuals on the Internet. Having decentralized currency is important because it allows anyone to transact with ease, without the need for a third party or bank account/credit. This allows people that are unbanked to become part of the internet economy directly as well.

An important distinction between fiat currency and bitcoin is that even with its volatility even with its lows during a bear market, the price has always plateaued higher than the last fluctuation showing a positive trend in value. Alternatively, keeping your long-term savings in cash or a bank account could very likely have an inverse effect since inflation continues to reduce the buying power of major currencies over time. What you save today may not be enough for tomorrow… Bitcoin has the potential to fix this for us today and future generations.

By understanding why Bitcoin was created, it could change your perspective on how to store money. The protocol empowers individuals to reevaluate their relationship with money and take full control of their bitcoin. This can be done because bitcoin transactions are cryptographic proofs saved on a public blockchain.

Where can I get bitcoin?

The best place to buy bitcoin is Bitcoin Well

Bitcoin Well is on a mission to enable independence. We do this by making it easy to self custody bitcoin. By custodying their own money, our customers are free to do as they wish without begging for permission. By creating a full ecosystem to buy, sell and use your bitcoin to connect with the modern financial world, you are able to have your bitcoin in self custody and easily spend it too.

Bitcoin Well is also the best place in the world to earn bitcoin. When you earn points in your Bitcoin Well account, you gain the opportunity to play the Bitcoin (Wishing) Well, where you win sats with every play.

@ 97c70a44:ad98e322

There was a slight dust up recently over a website someone runs removing a listing for an app someone built based on entirely arbitrary criteria. I'm not to going to attempt to speak for either wounded party, but I would like to share my own personal definition for what constitutes a "nostr app" in an effort to help clarify what might be an otherwise confusing and opaque purity test.

In this post, I will be committing the "no true Scotsman" fallacy, in which I start with the most liberal definition I can come up with, and gradually refine it until all that is left is the purest, gleamingest, most imaginary and unattainable nostr app imaginable. As I write this, I wonder if anything built yet will actually qualify. In any case, here we go.

It uses nostr

The lowest bar for what a "nostr app" might be is an app ("application" - i.e. software, not necessarily a native app of any kind) that has some nostr-specific code in it, but which doesn't take any advantage of what makes nostr distinctive as a protocol.

Examples might include a scraper of some kind which fulfills its charter by fetching data from relays (regardless of whether it validates or retains signatures). Another might be a regular web 2.0 app which provides an option to "log in with nostr" by requesting and storing the user's public key.

In either case, the fact that nostr is involved is entirely neutral. A scraper can scrape html, pdfs, jsonl, whatever data source - nostr relays are just another target. Likewise, a user's key in this scenario is treated merely as an opaque identifier, with no appreciation for the super powers it brings along.

In most cases, this kind of app only exists as a marketing ploy, or less cynically, because it wants to get in on the hype of being a "nostr app", without the developer quite understanding what that means, or having the budget to execute properly on the claim.

It leverages nostr

Some of you might be wondering, "isn't 'leverage' a synonym for 'use'?" And you would be right, but for one connotative difference. It's possible to "use" something improperly, but by definition leverage gives you a mechanical advantage that you wouldn't otherwise have. This is the second category of "nostr app".

This kind of app gets some benefit out of the nostr protocol and network, but in an entirely selfish fashion. The intention of this kind of app is not to augment the nostr network, but to augment its own UX by borrowing some nifty thing from the protocol without really contributing anything back.

Some examples might include:

• Using nostr signers to encrypt or sign data, and then store that data on a proprietary server.
• Using nostr relays as a kind of low-code backend, but using proprietary event payloads.
• Using nostr event kinds to represent data (why), but not leveraging the trustlessness that buys you.

An application in this category might even communicate to its users via nostr DMs - but this doesn't make it a "nostr app" any more than a website that emails you hot deals on herbal supplements is an "email app". These apps are purely parasitic on the nostr ecosystem.

In the long-term, that's not necessarily a bad thing. Email's ubiquity is self-reinforcing. But in the short term, this kind of "nostr app" can actually do damage to nostr's reputation by over-promising and under-delivering.

It complements nostr

Next up, we have apps that get some benefit out of nostr as above, but give back by providing a unique value proposition to nostr users as nostr users. This is a bit of a fine distinction, but for me this category is for apps which focus on solving problems that nostr isn't good at solving, leaving the nostr integration in a secondary or supporting role.

One example of this kind of app was Mutiny (RIP), which not only allowed users to sign in with nostr, but also pulled those users' social graphs so that users could send money to people they knew and trusted. Mutiny was doing a great job of leveraging nostr, as well as providing value to users with nostr identities - but it was still primarily a bitcoin wallet, not a "nostr app" in the purest sense.

Other examples are things like Nostr Nests and Zap.stream, whose core value proposition is streaming video or audio content. Both make great use of nostr identities, data formats, and relays, but they're primarily streaming apps. A good litmus test for things like this is: if you got rid of nostr, would it be the same product (even if inferior in certain ways)?

A similar category is infrastructure providers that benefit nostr by their existence (and may in fact be targeted explicitly at nostr users), but do things in a centralized, old-web way; for example: media hosts, DNS registrars, hosting providers, and CDNs.

To be clear here, I'm not casting aspersions (I don't even know what those are, or where to buy them). All the apps mentioned above use nostr to great effect, and are a real benefit to nostr users. But they are not True Scotsmen.

It embodies nostr

Ok, here we go. This is the crème de la crème, the top du top, the meilleur du meilleur, the bee's knees. The purest, holiest, most chaste category of nostr app out there. The apps which are, indeed, nostr indigitate.

This category of nostr app (see, no quotes this time) can be defined by the converse of the previous category. If nostr was removed from this type of application, would it be impossible to create the same product?

To tease this apart a bit, apps that leverage the technical aspects of nostr are dependent on nostr the protocol, while apps that benefit nostr exclusively via network effect are integrated into nostr the network. An app that does both things is working in symbiosis with nostr as a whole.

An app that embraces both nostr's protocol and its network becomes an organic extension of every other nostr app out there, multiplying both its competitive moat and its contribution to the ecosystem:

• In contrast to apps that only borrow from nostr on the technical level but continue to operate in their own silos, an application integrated into the nostr network comes pre-packaged with existing users, and is able to provide more value to those users because of other nostr products. On nostr, it's a good thing to advertise your competitors.
• In contrast to apps that only market themselves to nostr users without building out a deep integration on the protocol level, a deeply integrated app becomes an asset to every other nostr app by becoming an organic extension of them through interoperability. This results in increased traffic to the app as other developers and users refer people to it instead of solving their problem on their own. This is the "micro-apps" utopia we've all been waiting for.

Credible exit doesn't matter if there aren't alternative services. Interoperability is pointless if other applications don't offer something your app doesn't. Marketing to nostr users doesn't matter if you don't augment their agency as nostr users.

If I had to choose a single NIP that represents the mindset behind this kind of app, it would be NIP 89 A.K.A. "Recommended Application Handlers", which states:

Nostr's discoverability and transparent event interaction is one of its most interesting/novel mechanics. This NIP provides a simple way for clients to discover applications that handle events of a specific kind to ensure smooth cross-client and cross-kind interactions.

These handlers are the glue that holds nostr apps together. A single event, signed by the developer of an application (or by the application's own account) tells anyone who wants to know 1. what event kinds the app supports, 2. how to link to the app (if it's a client), and (if the pubkey also publishes a kind 10002), 3. which relays the app prefers.

As a sidenote, NIP 89 is currently focused more on clients, leaving DVMs, relays, signers, etc somewhat out in the cold. Updating 89 to include tailored listings for each kind of supporting app would be a huge improvement to the protocol. This, plus a good front end for navigating these listings (sorry nostrapp.link, close but no cigar) would obviate the evil centralized websites that curate apps based on arbitrary criteria.

Examples of this kind of app obviously include many kind 1 clients, as well as clients that attempt to bring the benefits of the nostr protocol and network to new use cases - whether long form content, video, image posts, music, emojis, recipes, project management, or any other "content type".

To drill down into one example, let's think for a moment about forms. What's so great about a forms app that is built on nostr? Well,

• There is a spec for forms and responses, which means that...
• Multiple clients can implement the same data format, allowing for credible exit and user choice, even of...
• Other products not focused on forms, which can still view, respond to, or embed forms, and which can send their users via NIP 89 to a client that does...
• Cryptographically sign forms and responses, which means they are self-authenticating and can be sent to...
• Multiple relays, which reduces the amount of trust necessary to be confident results haven't been deliberately "lost".

Show me a forms product that does all of those things, and isn't built on nostr. You can't, because it doesn't exist. Meanwhile, there are plenty of image hosts with APIs, streaming services, and bitcoin wallets which have basically the same levels of censorship resistance, interoperability, and network effect as if they weren't built on nostr.

It supports nostr

Notice I haven't said anything about whether relays, signers, blossom servers, software libraries, DVMs, and the accumulated addenda of the nostr ecosystem are nostr apps. Well, they are (usually).

This is the category of nostr app that gets none of the credit for doing all of the work. There's no question that they qualify as beautiful nostrcorns, because their value propositions are entirely meaningless outside of the context of nostr. Who needs a signer if you don't have a cryptographic identity you need to protect? DVMs are literally impossible to use without relays. How are you going to find the blossom server that will serve a given hash if you don't know which servers the publishing user has selected to store their content?

In addition to being entirely contextualized by nostr architecture, this type of nostr app is valuable because it does things "the nostr way". By that I mean that they don't simply try to replicate existing internet functionality into a nostr context; instead, they create entirely new ways of putting the basic building blocks of the internet back together.

A great example of this is how Nostr Connect, Nostr Wallet Connect, and DVMs all use relays as brokers, which allows service providers to avoid having to accept incoming network connections. This opens up really interesting possibilities all on its own.

So while I might hesitate to call many of these things "apps", they are certainly "nostr".

Appendix: it smells like a NINO

So, let's say you've created an app, but when you show it to people they politely smile, nod, and call it a NINO (Nostr In Name Only). What's a hacker to do? Well, here's your handy-dandy guide on how to wash that NINO stench off and Become a Nostr.

You app might be a NINO if:

• There's no NIP for your data format (or you're abusing NIP 78, 32, etc by inventing a sub-protocol inside an existing event kind)
• There's a NIP, but no one knows about it because it's in a text file on your hard drive (or buried in your project's repository)
• Your NIP imposes an incompatible/centralized/legacy web paradigm onto nostr
• Your NIP relies on trusted third (or first) parties
• There's only one implementation of your NIP (yours)
• Your core value proposition doesn't depend on relays, events, or nostr identities
• One or more relay urls are hard-coded into the source code
• Your app depends on a specific relay implementation to work (ahem, relay29)
• You don't validate event signatures
• You don't publish events to relays you don't control
• You don't read events from relays you don't control
• You use legacy web services to solve problems, rather than nostr-native solutions
• You use nostr-native solutions, but you've hardcoded their pubkeys or URLs into your app
• You don't use NIP 89 to discover clients and services
• You haven't published a NIP 89 listing for your app
• You don't leverage your users' web of trust for filtering out spam
• You don't respect your users' mute lists
• You try to "own" your users' data

Now let me just re-iterate - it's ok to be a NINO. We need NINOs, because nostr can't (and shouldn't) tackle every problem. You just need to decide whether your app, as a NINO, is actually contributing to the nostr ecosystem, or whether you're just using buzzwords to whitewash a legacy web software product.

If you're in the former camp, great! If you're in the latter, what are you waiting for? Only you can fix your NINO problem. And there are lots of ways to do this, depending on your own unique situation:

• Drop nostr support if it's not doing anyone any good. If you want to build a normal company and make some money, that's perfectly fine.
• Build out your nostr integration - start taking advantage of webs of trust, self-authenticating data, event handlers, etc.
• Work around the problem. Think you need a special relay feature for your app to work? Guess again. Consider encryption, AUTH, DVMs, or better data formats.
• Think your idea is a good one? Talk to other devs or open a PR to the nips repo. No one can adopt your NIP if they don't know about it.
• Keep going. It can sometimes be hard to distinguish a research project from a NINO. New ideas have to be built out before they can be fully appreciated.
• Listen to advice. Nostr developers are friendly and happy to help. If you're not sure why you're getting traction, ask!

I sincerely hope this article is useful for all of you out there in NINO land. Maybe this made you feel better about not passing the totally optional nostr app purity test. Or maybe it gave you some actionable next steps towards making a great NINON (Nostr In Not Only Name) app. In either case, GM and PV.

@ 0fa80bd3:ea7325de

Lyn Alden - биткойн евангелист или евангелистка, я пока не понял npub1a2cww4kn9wqte4ry70vyfwqyqvpswksna27rtxd8vty6c74era8sdcw83a

Thomas Pacchia - PubKey owner - X - @tpacchia npub1xy6exlg37pw84cpyj05c2pdgv86hr25cxn0g7aa8g8a6v97mhduqeuhgpl

calvadev - Shopstr npub16dhgpql60vmd4mnydjut87vla23a38j689jssaqlqqlzrtqtd0kqex0nkq

Calle - Cashu founder npub12rv5lskctqxxs2c8rf2zlzc7xx3qpvzs3w4etgemauy9thegr43sf485vg

Джек Дорси npub1sg6plzptd64u62a878hep2kev88swjh3tw00gjsfl8f237lmu63q0uf63m

21 ideas npub1lm3f47nzyf0rjp6fsl4qlnkmzed4uj4h2gnf2vhe3l3mrj85vqks6z3c7l

Много адресов. Хз кто надо сортировать https://github.com/aitechguy/nostr-address-book

ФиатДжеф - создатель Ностр - https://github.com/fiatjaf npub180cvv07tjdrrgpa0j7j7tmnyl2yr6yr7l8j4s3evf6u64th6gkwsyjh6w6

EVAN KALOUDIS Zues wallet npub19kv88vjm7tw6v9qksn2y6h4hdt6e79nh3zjcud36k9n3lmlwsleqwte2qd

Программер Коди https://github.com/CodyTseng/nostr-relay npub1syjmjy0dp62dhccq3g97fr87tngvpvzey08llyt6ul58m2zqpzps9wf6wl

Anna Chekhovich - Managing Bitcoin at The Anti-Corruption Foundation https://x.com/AnyaChekhovich npub1y2st7rp54277hyd2usw6shy3kxprnmpvhkezmldp7vhl7hp920aq9cfyr7

@ 6be5cc06:5259daf0

A seguir, veja como instalar e configurar o Privoxy no Pop!_OS.

---

1. Instalar o Tor e o Privoxy

Abra o terminal e execute:

bash sudo apt update sudo apt install tor privoxy

Explicação:

• Tor: Roteia o tráfego pela rede Tor.
• Privoxy: Proxy avançado que intermedia a conexão entre aplicativos e o Tor.

---

2. Configurar o Privoxy

Abra o arquivo de configuração do Privoxy:

bash sudo nano /etc/privoxy/config

Navegue até a última linha (atalho: Ctrl + / depois Ctrl + V para navegar diretamente até a última linha) e insira:

bash forward-socks5 / 127.0.0.1:9050 .

Isso faz com que o Privoxy envie todo o tráfego para o Tor através da porta 9050.

Salve (CTRL + O e Enter) e feche (CTRL + X) o arquivo.

---

3. Iniciar o Tor e o Privoxy

Agora, inicie e habilite os serviços:

bash sudo systemctl start tor sudo systemctl start privoxy sudo systemctl enable tor sudo systemctl enable privoxy

Explicação:

• start: Inicia os serviços.
• enable: Faz com que iniciem automaticamente ao ligar o PC.

---

4. Configurar o Navegador Firefox

Para usar a rede Tor com o Firefox:

1. Abra o Firefox.
2. Acesse Configurações → Configurar conexão.
3. Selecione Configuração manual de proxy.
4. Configure assim:
   • Proxy HTTP: 127.0.0.1
   • Porta: 8118 (porta padrão do Privoxy)
   • Domínio SOCKS (v5): 127.0.0.1
   • Porta: 9050
5. Marque a opção "Usar este proxy também em HTTPS".
6. Clique em OK.

---

5. Verificar a Conexão com o Tor

Abra o navegador e acesse:

text https://check.torproject.org/

Se aparecer a mensagem "Congratulations. This browser is configured to use Tor.", a configuração está correta.

---

Dicas Extras

• Privoxy pode ser ajustado para bloquear anúncios e rastreadores.
• Outros aplicativos também podem ser configurados para usar o Privoxy.

@ 21335073:a244b1ad

Before I saw those X right-wing political “influencers” parading their Epstein binders in that PR stunt, I’d already posted this on Nostr, an open protocol. 

“Today, the world’s attention will likely fixate on Epstein, governmental failures in addressing horrific abuse cases, and the influential figures who perpetrate such acts—yet few will center the victims and survivors in the conversation. The survivors of Epstein went to law enforcement and very little happened. The survivors tried to speak to the corporate press and the corporate press knowingly covered for him. In situations like these social media can serve as one of the only ways for a survivor’s voice to be heard. 

It’s becoming increasingly evident that the line between centralized corporate social media and the state is razor-thin, if it exists at all. Time and again, the state shields powerful abusers when it’s politically expedient to do so. In this climate, a survivor attempting to expose someone like Epstein on a corporate tech platform faces an uphill battle—there’s no assurance their voice would even break through. Their story wouldn’t truly belong to them; it’d be at the mercy of the platform, subject to deletion at a whim. Nostr, though, offers a lifeline—a censorship-resistant space where survivors can share their truths, no matter how untouchable the abuser might seem. A survivor could remain anonymous here if they took enough steps. 

Nostr holds real promise for amplifying survivor voices. And if you’re here daily, tossing out memes, take heart: you’re helping build a foundation for those who desperately need to be heard.“

That post is untouchable—no CEO, company, employee, or government can delete it. Even if I wanted to, I couldn’t take it down myself. The post will outlive me on the protocol. 

The cozy alliance between the state and corporate social media hit me hard during that right-wing X “influencer” PR stunt. Elon owns X. Elon’s a special government employee. X pays those influencers to post. We don’t know who else pays them to post. Those influencers are spurred on by both the government and X to manage the Epstein case narrative. It wasn’t survivors standing there, grinning for photos—it was paid influencers, gatekeepers orchestrating yet another chance to re-exploit the already exploited.

The bond between the state and corporate social media is tight. If the other Epsteins out there are ever to be unmasked, I wouldn’t bet on a survivor’s story staying safe with a corporate tech platform, the government, any social media influencer, or mainstream journalist. Right now, only a protocol can hand survivors the power to truly own their narrative.

I don’t have anything against Elon—I’ve actually been a big supporter. I’m just stating it as I see it. X isn’t censorship resistant and they have an algorithm that they choose not the user. Corporate tech platforms like X can be a better fit for some survivors. X has safety tools and content moderation, making it a solid option for certain individuals. Grok can be a big help for survivors looking for resources or support! As a survivor, you know what works best for you, and safety should always come first—keep that front and center.

That said, a protocol is a game-changer for cases where the powerful are likely to censor. During China's # MeToo movement, survivors faced heavy censorship on social media platforms like Weibo and WeChat, where posts about sexual harassment were quickly removed, and hashtags like # MeToo or "woyeshi" were blocked by government and platform filters. To bypass this, activists turned to blockchain technology encoding their stories—like Yue Xin’s open letter about a Peking University case—into transaction metadata. This made the information tamper-proof and publicly accessible, resisting censorship since blockchain data can’t be easily altered or deleted.

I posted this on X 2/28/25. I wanted to try my first long post on a nostr client. The Epstein cover up is ongoing so it’s still relevant, unfortunately.

If you are a survivor or loved one who is reading this and needs support please reach out to: National Sexual Assault Hotline 24/7 https://rainn.org/

Hours: Available 24 hours

@ 9e69e420:d12360c2

Oregano oil is a potent natural compound that offers numerous scientifically-supported health benefits.

Active Compounds

The oil's therapeutic properties stem from its key bioactive components: - Carvacrol and thymol (primary active compounds) - Polyphenols and other antioxidant

Antimicrobial Properties

Bacterial Protection The oil demonstrates powerful antibacterial effects, even against antibiotic-resistant strains like MRSA and other harmful bacteria. Studies show it effectively inactivates various pathogenic bacteria without developing resistance.

Antifungal Effects It effectively combats fungal infections, particularly Candida-related conditions like oral thrush, athlete's foot, and nail infections.

Digestive Health Benefits

Oregano oil supports digestive wellness by: - Promoting gastric juice secretion and enzyme production - Helping treat Small Intestinal Bacterial Overgrowth (SIBO) - Managing digestive discomfort, bloating, and IBS symptoms

Anti-inflammatory and Antioxidant Effects

The oil provides significant protective benefits through: - Powerful antioxidant activity that fights free radicals - Reduction of inflammatory markers in the body - Protection against oxidative stress-related conditions

Respiratory Support

It aids respiratory health by: - Loosening mucus and phlegm - Suppressing coughs and throat irritation - Supporting overall respiratory tract function

Additional Benefits

Skin Health - Improves conditions like psoriasis, acne, and eczema - Supports wound healing through antibacterial action - Provides anti-aging benefits through antioxidant properties

Cardiovascular Health Studies show oregano oil may help: - Reduce LDL (bad) cholesterol levels - Support overall heart health

Pain Management The oil demonstrates effectiveness in: - Reducing inflammation-related pain - Managing muscle discomfort - Providing topical pain relief

Safety Note

While oregano oil is generally safe, it's highly concentrated and should be properly diluted before use Consult a healthcare provider before starting supplementation, especially if taking other medications.

@ 6be5cc06:5259daf0

Bitcoin: Um sistema de dinheiro eletrônico direto entre pessoas.

Satoshi Nakamoto
satoshin@gmx.com
www.bitcoin.org

---

Resumo

O Bitcoin é uma forma de dinheiro digital que permite pagamentos diretos entre pessoas, sem a necessidade de um banco ou instituição financeira. Ele resolve um problema chamado gasto duplo, que ocorre quando alguém tenta gastar o mesmo dinheiro duas vezes. Para evitar isso, o Bitcoin usa uma rede descentralizada onde todos trabalham juntos para verificar e registrar as transações.

As transações são registradas em um livro público chamado blockchain, protegido por uma técnica chamada Prova de Trabalho. Essa técnica cria uma cadeia de registros que não pode ser alterada sem refazer todo o trabalho já feito. Essa cadeia é mantida pelos computadores que participam da rede, e a mais longa é considerada a verdadeira.

Enquanto a maior parte do poder computacional da rede for controlada por participantes honestos, o sistema continuará funcionando de forma segura. A rede é flexível, permitindo que qualquer pessoa entre ou saia a qualquer momento, sempre confiando na cadeia mais longa como prova do que aconteceu.

---

1. Introdução

Hoje, quase todos os pagamentos feitos pela internet dependem de bancos ou empresas como processadores de pagamento (cartões de crédito, por exemplo) para funcionar. Embora esse sistema seja útil, ele tem problemas importantes porque é baseado em confiança.

Primeiro, essas empresas podem reverter pagamentos, o que é útil em caso de erros, mas cria custos e incertezas. Isso faz com que pequenas transações, como pagar centavos por um serviço, se tornem inviáveis. Além disso, os comerciantes são obrigados a desconfiar dos clientes, pedindo informações extras e aceitando fraudes como algo inevitável.

Esses problemas não existem no dinheiro físico, como o papel-moeda, onde o pagamento é final e direto entre as partes. No entanto, não temos como enviar dinheiro físico pela internet sem depender de um intermediário confiável.

O que precisamos é de um sistema de pagamento eletrônico baseado em provas matemáticas, não em confiança. Esse sistema permitiria que qualquer pessoa enviasse dinheiro diretamente para outra, sem depender de bancos ou processadores de pagamento. Além disso, as transações seriam irreversíveis, protegendo vendedores contra fraudes, mas mantendo a possibilidade de soluções para disputas legítimas.

Neste documento, apresentamos o Bitcoin, que resolve o problema do gasto duplo usando uma rede descentralizada. Essa rede cria um registro público e protegido por cálculos matemáticos, que garante a ordem das transações. Enquanto a maior parte da rede for controlada por pessoas honestas, o sistema será seguro contra ataques.

---

2. Transações

Para entender como funciona o Bitcoin, é importante saber como as transações são realizadas. Imagine que você quer transferir uma "moeda digital" para outra pessoa. No sistema do Bitcoin, essa "moeda" é representada por uma sequência de registros que mostram quem é o atual dono. Para transferi-la, você adiciona um novo registro comprovando que agora ela pertence ao próximo dono. Esse registro é protegido por um tipo especial de assinatura digital.

O que é uma assinatura digital?

Uma assinatura digital é como uma senha secreta, mas muito mais segura. No Bitcoin, cada usuário tem duas chaves: uma "chave privada", que é secreta e serve para criar a assinatura, e uma "chave pública", que pode ser compartilhada com todos e é usada para verificar se a assinatura é válida. Quando você transfere uma moeda, usa sua chave privada para assinar a transação, provando que você é o dono. A próxima pessoa pode usar sua chave pública para confirmar isso.

Como funciona na prática?

Cada "moeda" no Bitcoin é, na verdade, uma cadeia de assinaturas digitais. Vamos imaginar o seguinte cenário:

1. A moeda está com o Dono 0 (você). Para transferi-la ao Dono 1, você assina digitalmente a transação com sua chave privada. Essa assinatura inclui o código da transação anterior (chamado de "hash") e a chave pública do Dono 1.
2. Quando o Dono 1 quiser transferir a moeda ao Dono 2, ele assinará a transação seguinte com sua própria chave privada, incluindo também o hash da transação anterior e a chave pública do Dono 2.
3. Esse processo continua, formando uma "cadeia" de transações. Qualquer pessoa pode verificar essa cadeia para confirmar quem é o atual dono da moeda.

Resolvendo o problema do gasto duplo

Um grande desafio com moedas digitais é o "gasto duplo", que é quando uma mesma moeda é usada em mais de uma transação. Para evitar isso, muitos sistemas antigos dependiam de uma entidade central confiável, como uma casa da moeda, que verificava todas as transações. No entanto, isso criava um ponto único de falha e centralizava o controle do dinheiro.

O Bitcoin resolve esse problema de forma inovadora: ele usa uma rede descentralizada onde todos os participantes (os "nós") têm acesso a um registro completo de todas as transações. Cada nó verifica se as transações são válidas e se a moeda não foi gasta duas vezes. Quando a maioria dos nós concorda com a validade de uma transação, ela é registrada permanentemente na blockchain.

Por que isso é importante?

Essa solução elimina a necessidade de confiar em uma única entidade para gerenciar o dinheiro, permitindo que qualquer pessoa no mundo use o Bitcoin sem precisar de permissão de terceiros. Além disso, ela garante que o sistema seja seguro e resistente a fraudes.

---

3. Servidor Timestamp

Para assegurar que as transações sejam realizadas de forma segura e transparente, o sistema Bitcoin utiliza algo chamado de "servidor de registro de tempo" (timestamp). Esse servidor funciona como um registro público que organiza as transações em uma ordem específica.

Ele faz isso agrupando várias transações em blocos e criando um código único chamado "hash". Esse hash é como uma impressão digital que representa todo o conteúdo do bloco. O hash de cada bloco é amplamente divulgado, como se fosse publicado em um jornal ou em um fórum público.

Esse processo garante que cada bloco de transações tenha um registro de quando foi criado e que ele existia naquele momento. Além disso, cada novo bloco criado contém o hash do bloco anterior, formando uma cadeia contínua de blocos conectados — conhecida como blockchain.

Com isso, se alguém tentar alterar qualquer informação em um bloco anterior, o hash desse bloco mudará e não corresponderá ao hash armazenado no bloco seguinte. Essa característica torna a cadeia muito segura, pois qualquer tentativa de fraude seria imediatamente detectada.

O sistema de timestamps é essencial para provar a ordem cronológica das transações e garantir que cada uma delas seja única e autêntica. Dessa forma, ele reforça a segurança e a confiança na rede Bitcoin.

---

4. Prova-de-Trabalho

Para implementar o registro de tempo distribuído no sistema Bitcoin, utilizamos um mecanismo chamado prova-de-trabalho. Esse sistema é semelhante ao Hashcash, desenvolvido por Adam Back, e baseia-se na criação de um código único, o "hash", por meio de um processo computacionalmente exigente.

A prova-de-trabalho envolve encontrar um valor especial que, quando processado junto com as informações do bloco, gere um hash que comece com uma quantidade específica de zeros. Esse valor especial é chamado de "nonce". Encontrar o nonce correto exige um esforço significativo do computador, porque envolve tentativas repetidas até que a condição seja satisfeita.

Esse processo é importante porque torna extremamente difícil alterar qualquer informação registrada em um bloco. Se alguém tentar mudar algo em um bloco, seria necessário refazer o trabalho de computação não apenas para aquele bloco, mas também para todos os blocos que vêm depois dele. Isso garante a segurança e a imutabilidade da blockchain.

A prova-de-trabalho também resolve o problema de decidir qual cadeia de blocos é a válida quando há múltiplas cadeias competindo. A decisão é feita pela cadeia mais longa, pois ela representa o maior esforço computacional já realizado. Isso impede que qualquer indivíduo ou grupo controle a rede, desde que a maioria do poder de processamento seja mantida por participantes honestos.

Para garantir que o sistema permaneça eficiente e equilibrado, a dificuldade da prova-de-trabalho é ajustada automaticamente ao longo do tempo. Se novos blocos estiverem sendo gerados rapidamente, a dificuldade aumenta; se estiverem sendo gerados muito lentamente, a dificuldade diminui. Esse ajuste assegura que novos blocos sejam criados aproximadamente a cada 10 minutos, mantendo o sistema estável e funcional.

---

5. Rede

A rede Bitcoin é o coração do sistema e funciona de maneira distribuída, conectando vários participantes (ou nós) para garantir o registro e a validação das transações. Os passos para operar essa rede são:

1. Transmissão de Transações: Quando alguém realiza uma nova transação, ela é enviada para todos os nós da rede. Isso é feito para garantir que todos estejam cientes da operação e possam validá-la.

2. Coleta de Transações em Blocos: Cada nó agrupa as novas transações recebidas em um "bloco". Este bloco será preparado para ser adicionado à cadeia de blocos (a blockchain).

3. Prova-de-Trabalho: Os nós competem para resolver a prova-de-trabalho do bloco, utilizando poder computacional para encontrar um hash válido. Esse processo é como resolver um quebra-cabeça matemático difícil.

4. Envio do Bloco Resolvido: Quando um nó encontra a solução para o bloco (a prova-de-trabalho), ele compartilha esse bloco com todos os outros nós na rede.

5. Validação do Bloco: Cada nó verifica o bloco recebido para garantir que todas as transações nele contidas sejam válidas e que nenhuma moeda tenha sido gasta duas vezes. Apenas blocos válidos são aceitos.

6. Construção do Próximo Bloco: Os nós que aceitaram o bloco começam a trabalhar na criação do próximo bloco, utilizando o hash do bloco aceito como base (hash anterior). Isso mantém a continuidade da cadeia.

Resolução de Conflitos e Escolha da Cadeia Mais Longa

Os nós sempre priorizam a cadeia mais longa, pois ela representa o maior esforço computacional já realizado, garantindo maior segurança. Se dois blocos diferentes forem compartilhados simultaneamente, os nós trabalharão no primeiro bloco recebido, mas guardarão o outro como uma alternativa. Caso o segundo bloco eventualmente forme uma cadeia mais longa (ou seja, tenha mais blocos subsequentes), os nós mudarão para essa nova cadeia.

Tolerância a Falhas

A rede é robusta e pode lidar com mensagens que não chegam a todos os nós. Uma transação não precisa alcançar todos os nós de imediato; basta que chegue a um número suficiente deles para ser incluída em um bloco. Da mesma forma, se um nó não receber um bloco em tempo hábil, ele pode solicitá-lo ao perceber que está faltando quando o próximo bloco é recebido.

Esse mecanismo descentralizado permite que a rede Bitcoin funcione de maneira segura, confiável e resiliente, sem depender de uma autoridade central.

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6. Incentivo

O incentivo é um dos pilares fundamentais que sustenta o funcionamento da rede Bitcoin, garantindo que os participantes (nós) continuem operando de forma honesta e contribuindo com recursos computacionais. Ele é estruturado em duas partes principais: a recompensa por mineração e as taxas de transação.

Recompensa por Mineração

Por convenção, o primeiro registro em cada bloco é uma transação especial que cria novas moedas e as atribui ao criador do bloco. Essa recompensa incentiva os mineradores a dedicarem poder computacional para apoiar a rede. Como não há uma autoridade central para emitir moedas, essa é a maneira pela qual novas moedas entram em circulação. Esse processo pode ser comparado ao trabalho de garimpeiros, que utilizam recursos para colocar mais ouro em circulação. No caso do Bitcoin, o "recurso" consiste no tempo de CPU e na energia elétrica consumida para resolver a prova-de-trabalho.

Taxas de Transação

Além da recompensa por mineração, os mineradores também podem ser incentivados pelas taxas de transação. Se uma transação utiliza menos valor de saída do que o valor de entrada, a diferença é tratada como uma taxa, que é adicionada à recompensa do bloco contendo essa transação. Com o passar do tempo e à medida que o número de moedas em circulação atinge o limite predeterminado, essas taxas de transação se tornam a principal fonte de incentivo, substituindo gradualmente a emissão de novas moedas. Isso permite que o sistema opere sem inflação, uma vez que o número total de moedas permanece fixo.

Incentivo à Honestidade

O design do incentivo também busca garantir que os participantes da rede mantenham um comportamento honesto. Para um atacante que consiga reunir mais poder computacional do que o restante da rede, ele enfrentaria duas escolhas:

1. Usar esse poder para fraudar o sistema, como reverter transações e roubar pagamentos.
2. Seguir as regras do sistema, criando novos blocos e recebendo recompensas legítimas.

A lógica econômica favorece a segunda opção, pois um comportamento desonesto prejudicaria a confiança no sistema, diminuindo o valor de todas as moedas, incluindo aquelas que o próprio atacante possui. Jogar dentro das regras não apenas maximiza o retorno financeiro, mas também preserva a validade e a integridade do sistema.

Esse mecanismo garante que os incentivos econômicos estejam alinhados com o objetivo de manter a rede segura, descentralizada e funcional ao longo do tempo.

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7. Recuperação do Espaço em Disco

Depois que uma moeda passa a estar protegida por muitos blocos na cadeia, as informações sobre as transações antigas que a geraram podem ser descartadas para economizar espaço em disco. Para que isso seja possível sem comprometer a segurança, as transações são organizadas em uma estrutura chamada "árvore de Merkle". Essa árvore funciona como um resumo das transações: em vez de armazenar todas elas, guarda apenas um "hash raiz", que é como uma assinatura compacta que representa todo o grupo de transações.

Os blocos antigos podem, então, ser simplificados, removendo as partes desnecessárias dessa árvore. Apenas a raiz do hash precisa ser mantida no cabeçalho do bloco, garantindo que a integridade dos dados seja preservada, mesmo que detalhes específicos sejam descartados.

Para exemplificar: imagine que você tenha vários recibos de compra. Em vez de guardar todos os recibos, você cria um documento e lista apenas o valor total de cada um. Mesmo que os recibos originais sejam descartados, ainda é possível verificar a soma com base nos valores armazenados.

Além disso, o espaço ocupado pelos blocos em si é muito pequeno. Cada bloco sem transações ocupa apenas cerca de 80 bytes. Isso significa que, mesmo com blocos sendo gerados a cada 10 minutos, o crescimento anual em espaço necessário é insignificante: apenas 4,2 MB por ano. Com a capacidade de armazenamento dos computadores crescendo a cada ano, esse espaço continuará sendo trivial, garantindo que a rede possa operar de forma eficiente sem problemas de armazenamento, mesmo a longo prazo.

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8. Verificação de Pagamento Simplificada

É possível confirmar pagamentos sem a necessidade de operar um nó completo da rede. Para isso, o usuário precisa apenas de uma cópia dos cabeçalhos dos blocos da cadeia mais longa (ou seja, a cadeia com maior esforço de trabalho acumulado). Ele pode verificar a validade de uma transação ao consultar os nós da rede até obter a confirmação de que tem a cadeia mais longa. Para isso, utiliza-se o ramo Merkle, que conecta a transação ao bloco em que ela foi registrada.

Entretanto, o método simplificado possui limitações: ele não pode confirmar uma transação isoladamente, mas sim assegurar que ela ocupa um lugar específico na cadeia mais longa. Dessa forma, se um nó da rede aprova a transação, os blocos subsequentes reforçam essa aceitação.

A verificação simplificada é confiável enquanto a maioria dos nós da rede for honesta. Contudo, ela se torna vulnerável caso a rede seja dominada por um invasor. Nesse cenário, um atacante poderia fabricar transações fraudulentas que enganariam o usuário temporariamente até que o invasor obtivesse controle completo da rede.

Uma estratégia para mitigar esse risco é configurar alertas nos softwares de nós completos. Esses alertas identificam blocos inválidos, sugerindo ao usuário baixar o bloco completo para confirmar qualquer inconsistência. Para maior segurança, empresas que realizam pagamentos frequentes podem preferir operar seus próprios nós, reduzindo riscos e permitindo uma verificação mais direta e confiável.

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9. Combinando e Dividindo Valor

No sistema Bitcoin, cada unidade de valor é tratada como uma "moeda" individual, mas gerenciar cada centavo como uma transação separada seria impraticável. Para resolver isso, o Bitcoin permite que valores sejam combinados ou divididos em transações, facilitando pagamentos de qualquer valor.

Entradas e Saídas

Cada transação no Bitcoin é composta por:

• Entradas: Representam os valores recebidos em transações anteriores.
• Saídas: Correspondem aos valores enviados, divididos entre os destinatários e, eventualmente, o troco para o remetente.

Normalmente, uma transação contém:

• Uma única entrada com valor suficiente para cobrir o pagamento.
• Ou várias entradas combinadas para atingir o valor necessário.

O valor total das saídas nunca excede o das entradas, e a diferença (se houver) pode ser retornada ao remetente como troco.

Exemplo Prático

Imagine que você tem duas entradas:

1. 0,03 BTC
2. 0,07 BTC

Se deseja enviar 0,08 BTC para alguém, a transação terá:

• Entrada: As duas entradas combinadas (0,03 + 0,07 BTC = 0,10 BTC).
• Saídas: Uma para o destinatário (0,08 BTC) e outra como troco para você (0,02 BTC).

Essa flexibilidade permite que o sistema funcione sem precisar manipular cada unidade mínima individualmente.

Difusão e Simplificação

A difusão de transações, onde uma depende de várias anteriores e assim por diante, não representa um problema. Não é necessário armazenar ou verificar o histórico completo de uma transação para utilizá-la, já que o registro na blockchain garante sua integridade.

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10. Privacidade

O modelo bancário tradicional oferece um certo nível de privacidade, limitando o acesso às informações financeiras apenas às partes envolvidas e a um terceiro confiável (como bancos ou instituições financeiras). No entanto, o Bitcoin opera de forma diferente, pois todas as transações são publicamente registradas na blockchain. Apesar disso, a privacidade pode ser mantida utilizando chaves públicas anônimas, que desvinculam diretamente as transações das identidades das partes envolvidas.

Fluxo de Informação

• No modelo tradicional, as transações passam por um terceiro confiável que conhece tanto o remetente quanto o destinatário.
• No Bitcoin, as transações são anunciadas publicamente, mas sem revelar diretamente as identidades das partes. Isso é comparável a dados divulgados por bolsas de valores, onde informações como o tempo e o tamanho das negociações (a "fita") são públicas, mas as identidades das partes não.

Protegendo a Privacidade

Para aumentar a privacidade no Bitcoin, são adotadas as seguintes práticas:

1. Chaves Públicas Anônimas: Cada transação utiliza um par de chaves diferentes, dificultando a associação com um proprietário único.
2. Prevenção de Ligação: Ao usar chaves novas para cada transação, reduz-se a possibilidade de links evidentes entre múltiplas transações realizadas pelo mesmo usuário.

Riscos de Ligação

Embora a privacidade seja fortalecida, alguns riscos permanecem:

• Transações multi-entrada podem revelar que todas as entradas pertencem ao mesmo proprietário, caso sejam necessárias para somar o valor total.
• O proprietário da chave pode ser identificado indiretamente por transações anteriores que estejam conectadas.

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11. Cálculos

Imagine que temos um sistema onde as pessoas (ou computadores) competem para adicionar informações novas (blocos) a um grande registro público (a cadeia de blocos ou blockchain). Este registro é como um livro contábil compartilhado, onde todos podem verificar o que está escrito.

Agora, vamos pensar em um cenário: um atacante quer enganar o sistema. Ele quer mudar informações já registradas para beneficiar a si mesmo, por exemplo, desfazendo um pagamento que já fez. Para isso, ele precisa criar uma versão alternativa do livro contábil (a cadeia de blocos dele) e convencer todos os outros participantes de que essa versão é a verdadeira.

Mas isso é extremamente difícil.

Como o Ataque Funciona

Quando um novo bloco é adicionado à cadeia, ele depende de cálculos complexos que levam tempo e esforço. Esses cálculos são como um grande quebra-cabeça que precisa ser resolvido.

• Os “bons jogadores” (nós honestos) estão sempre trabalhando juntos para resolver esses quebra-cabeças e adicionar novos blocos à cadeia verdadeira.
• O atacante, por outro lado, precisa resolver quebra-cabeças sozinho, tentando “alcançar” a cadeia honesta para que sua versão alternativa pareça válida.

Se a cadeia honesta já está vários blocos à frente, o atacante começa em desvantagem, e o sistema está projetado para que a dificuldade de alcançá-los aumente rapidamente.

A Corrida Entre Cadeias

Você pode imaginar isso como uma corrida. A cada bloco novo que os jogadores honestos adicionam à cadeia verdadeira, eles se distanciam mais do atacante. Para vencer, o atacante teria que resolver os quebra-cabeças mais rápido que todos os outros jogadores honestos juntos.

Suponha que:

• A rede honesta tem 80% do poder computacional (ou seja, resolve 8 de cada 10 quebra-cabeças).
• O atacante tem 20% do poder computacional (ou seja, resolve 2 de cada 10 quebra-cabeças).

Cada vez que a rede honesta adiciona um bloco, o atacante tem que "correr atrás" e resolver mais quebra-cabeças para alcançar.

Por Que o Ataque Fica Cada Vez Mais Improvável?

Vamos usar uma fórmula simples para mostrar como as chances de sucesso do atacante diminuem conforme ele precisa "alcançar" mais blocos:

P = (q/p)^z

• q é o poder computacional do atacante (20%, ou 0,2).
• p é o poder computacional da rede honesta (80%, ou 0,8).
• z é a diferença de blocos entre a cadeia honesta e a cadeia do atacante.

Se o atacante está 5 blocos atrás (z = 5):

P = (0,2 / 0,8)^5 = (0,25)^5 = 0,00098, (ou, 0,098%)

Isso significa que o atacante tem menos de 0,1% de chance de sucesso — ou seja, é muito improvável.

Se ele estiver 10 blocos atrás (z = 10):

P = (0,2 / 0,8)^10 = (0,25)^10 = 0,000000095, (ou, 0,0000095%).

Neste caso, as chances de sucesso são praticamente nulas.

Um Exemplo Simples

Se você jogar uma moeda, a chance de cair “cara” é de 50%. Mas se precisar de 10 caras seguidas, sua chance já é bem menor. Se precisar de 20 caras seguidas, é quase impossível.

No caso do Bitcoin, o atacante precisa de muito mais do que 20 caras seguidas. Ele precisa resolver quebra-cabeças extremamente difíceis e alcançar os jogadores honestos que estão sempre à frente. Isso faz com que o ataque seja inviável na prática.

Por Que Tudo Isso é Seguro?

• A probabilidade de sucesso do atacante diminui exponencialmente. Isso significa que, quanto mais tempo passa, menor é a chance de ele conseguir enganar o sistema.
• A cadeia verdadeira (honesta) está protegida pela força da rede. Cada novo bloco que os jogadores honestos adicionam à cadeia torna mais difícil para o atacante alcançar.

E Se o Atacante Tentar Continuar?

O atacante poderia continuar tentando indefinidamente, mas ele estaria gastando muito tempo e energia sem conseguir nada. Enquanto isso, os jogadores honestos estão sempre adicionando novos blocos, tornando o trabalho do atacante ainda mais inútil.

Assim, o sistema garante que a cadeia verdadeira seja extremamente segura e que ataques sejam, na prática, impossíveis de ter sucesso.

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12. Conclusão

Propusemos um sistema de transações eletrônicas que elimina a necessidade de confiança, baseando-se em assinaturas digitais e em uma rede peer-to-peer que utiliza prova de trabalho. Isso resolve o problema do gasto duplo, criando um histórico público de transações imutável, desde que a maioria do poder computacional permaneça sob controle dos participantes honestos. A rede funciona de forma simples e descentralizada, com nós independentes que não precisam de identificação ou coordenação direta. Eles entram e saem livremente, aceitando a cadeia de prova de trabalho como registro do que ocorreu durante sua ausência. As decisões são tomadas por meio do poder de CPU, validando blocos legítimos, estendendo a cadeia e rejeitando os inválidos. Com este mecanismo de consenso, todas as regras e incentivos necessários para o funcionamento seguro e eficiente do sistema são garantidos.

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Faça o download do whitepaper original em português: https://bitcoin.org/files/bitcoin-paper/bitcoin_pt_br.pdf

@ cff1720e:15c7e2b2

Einleitung\ \ Schwierige Dinge einfach zu erklären ist der Anspruch von ELI5 (explain me like I'm 5). Das ist in unserer hoch technisierten Welt dringend erforderlich, denn nur mit dem Verständnis der Technologien können wir sie richtig einsetzen und weiter entwickeln.\ Ich starte meine Serie mit Nostr, einem relativ neuen Internet-Protokoll. Was zum Teufel ist ein Internet-Protokoll? Formal beschrieben sind es internationale Standards, die dafür sorgen, dass das Internet seit über 30 Jahren ziemlich gut funktioniert. Es ist die Sprache, in der sich die Rechner miteinander unterhalten und die auch Sie täglich nutzen, vermutlich ohne es bewusst wahrzunehmen. http(s) transportiert ihre Anfrage an einen Server (z.B. Amazon), und html sorgt dafür, dass aus den gelieferten Daten eine schöne Seite auf ihrem Bildschirm entsteht. Eine Mail wird mit smtp an den Mailserver gesendet und mit imap von ihm abgerufen, und da alle den Standard verwenden, funktioniert das mit jeder App auf jedem Betriebssystem und mit jedem Mail-Provider. Und mit einer Mail-Adresse wie roland@pareto.space können sie sogar jederzeit umziehen, egal wohin. Cool, das ist state of the art! Aber warum funktioniert das z.B. bei Chat nicht, gibt es da kein Protokoll? Doch, es heißt IRC (Internet Relay Chat → merken sie sich den Namen), aber es wird so gut wie nicht verwendet. Die Gründe dafür sind nicht technischer Natur, vielmehr wurden mit Apps wie Facebook, Twitter, WhatsApp, Telegram, Instagram, TikTok u.a. bewusst Inkompatibilitäten und Nutzerabhängigkeiten geschaffen um Profite zu maximieren.

Warum Nostr?

Da das Standard-Protokoll nicht genutzt wird, hat jede App ihr eigenes, und wir brauchen eine handvoll Apps um uns mit allen Bekannten auszutauschen. Eine Mobilfunknummer ist Voraussetzung für jedes Konto, damit können die App-Hersteller die Nutzer umfassend tracken und mit dem Verkauf der Informationen bis zu 30 USD je Konto und Monat verdienen. Der Nutzer ist nicht mehr Kunde, er ist das Produkt! Der Werbe-SPAM ist noch das kleinste Problem bei diesem Geschäftsmodell. Server mit Millionen von Nutzerdaten sind ein “honey pot”, dementsprechend oft werden sie gehackt und die Zugangsdaten verkauft. 2024 wurde auch der Twitter-Account vom damaligen Präsidenten Joe Biden gehackt, niemand wusste mehr wer die Nachrichten verfasst hat (vorher auch nicht), d.h. die Authentizität der Inhalte ist bei keinem dieser Anbieter gewährleistet. Im selben Jahr wurde der Telegram-Gründer in Frankreich in Beugehaft genommen, weil er sich geweigert hatte Hintertüren in seine Software einzubauen. Nun kann zum Schutz "unserer Demokratie” praktisch jeder mitlesen, was sie mit wem an Informationen austauschen, z.B. darüber welches Shampoo bestimmte Politiker verwenden. 

Und wer tatsächlich glaubt er könne Meinungsfreiheit auf sozialen Medien praktizieren, findet sich schnell in der Situation von Donald Trump wieder (seinerzeit amtierender Präsident), dem sein Twitter-Konto 2021 abgeschaltet wurde (Cancel-Culture). Die Nutzerdaten, also ihr Profil, ihre Kontakte, Dokumente, Bilder, Videos und Audiofiles - gehören ihnen ohnehin nicht mehr sondern sind Eigentum des Plattform-Betreibers; lesen sie sich mal die AGB's durch. Aber nein, keine gute Idee, das sind hunderte Seiten und sie werden permanent geändert. Alle nutzen also Apps, deren Technik sie nicht verstehen, deren Regeln sie nicht kennen, wo sie keine Rechte haben und die ihnen die Resultate ihres Handelns stehlen. Was würde wohl der Fünfjährige sagen, wenn ihm seine ältere Schwester anbieten würde, alle seine Spielzeuge zu “verwalten” und dann auszuhändigen wenn er brav ist? “Du spinnst wohl”, und damit beweist der Knirps mehr Vernunft als die Mehrzahl der Erwachsenen. \ \ Resümee: keine Standards, keine Daten, keine Rechte = keine Zukunft!

\ Wie funktioniert Nostr?

Die Entwickler von Nostr haben erkannt dass sich das Server-Client-Konzept in ein Master-Slave-Konzept verwandelt hatte. Der Master ist ein Synonym für Zentralisierung und wird zum “single point of failure”, der zwangsläufig Systeme dysfunktional macht. In einem verteilten Peer2Peer-System gibt es keine Master mehr sondern nur gleichberechtigte Knoten (Relays), auf denen die Informationen gespeichert werden. Indem man Informationen auf mehreren Relays redundant speichert, ist das System in jeglicher Hinsicht resilienter. Nicht nur die Natur verwendet dieses Prinzip seit Jahrmillionen erfolgreich, auch das Internet wurde so konzipiert (das ARPAnet wurde vom US-Militär für den Einsatz in Kriegsfällen unter massiven Störungen entwickelt). Alle Nostr-Daten liegen auf Relays und der Nutzer kann wählen zwischen öffentlichen (zumeist kostenlosen) und privaten Relays, z.B. für geschlossene Gruppen oder zum Zwecke von Daten-Archivierung. Da Dokumente auf mehreren Relays gespeichert sind, werden statt URL's (Locator) eindeutige Dokumentnamen (URI's = Identifier) verwendet, broken Links sind damit Vergangenheit und Löschungen / Verluste ebenfalls.\ \ Jedes Dokument (Event genannt) wird vom Besitzer signiert, es ist damit authentisch und fälschungssicher und kann nur vom Ersteller gelöscht werden. Dafür wird ein Schlüsselpaar verwendet bestehend aus privatem (nsec) und öffentlichem Schlüssel (npub) wie aus der Mailverschlüsselung (PGP) bekannt. Das repräsentiert eine Nostr-Identität, die um Bild, Namen, Bio und eine lesbare Nostr-Adresse ergänzt werden kann (z.B. roland@pareto.space ), mehr braucht es nicht um alle Ressourcen des Nostr-Ökosystems zu nutzen. Und das besteht inzwischen aus über hundert Apps mit unterschiedlichen Fokussierungen, z.B. für persönliche verschlüsselte Nachrichten (DM → OxChat), Kurznachrichten (Damus, Primal), Blogbeiträge (Pareto), Meetups (Joinstr), Gruppen (Groups), Bilder (Olas), Videos (Amethyst), Audio-Chat (Nostr Nests), Audio-Streams (Tunestr), Video-Streams (Zap.Stream), Marktplätze (Shopstr) u.v.a.m. Die Anmeldung erfolgt mit einem Klick (single sign on) und den Apps stehen ALLE Nutzerdaten zur Verfügung (Profil, Daten, Kontakte, Social Graph → Follower, Bookmarks, Comments, etc.), im Gegensatz zu den fragmentierten Datensilos der Gegenwart.\ \ Resümee: ein offener Standard, alle Daten, alle Rechte = große Zukunft!

\ Warum ist Nostr die Zukunft des Internet?

“Baue Dein Haus nicht auf einem fremden Grundstück” gilt auch im Internet - für alle App-Entwickler, Künstler, Journalisten und Nutzer, denn auch ihre Daten sind werthaltig. Nostr garantiert das Eigentum an den Daten, und überwindet ihre Fragmentierung. Weder die Nutzung noch die kreativen Freiheiten werden durch maßlose Lizenz- und Nutzungsbedingungen eingeschränkt. Aus passiven Nutzern werden durch Interaktion aktive Teilnehmer, Co-Creatoren in einer Sharing-Ökonomie (Value4Value). OpenSource schafft endlich wieder Vertrauen in die Software und ihre Anbieter. Offene Standards ermöglichen den Entwicklern mehr Kooperation und schnellere Entwicklung, für die Anwender garantieren sie Wahlfreiheit. Womit wir letztmalig zu unserem Fünfjährigen zurückkehren. Kinder lieben Lego über alles, am meisten die Maxi-Box “Classic”, weil sie damit ihre Phantasie im Kombinieren voll ausleben können. Erwachsene schenken ihnen dann die viel zu teuren Themenpakete, mit denen man nur eine Lösung nach Anleitung bauen kann. “Was stimmt nur mit meinen Eltern nicht, wann sind die denn falsch abgebogen?" fragt sich der Nachwuchs zu Recht. Das Image lässt sich aber wieder aufpolieren, wenn sie ihren Kindern Nostr zeigen, denn die Vorteile verstehen sogar Fünfjährige.

\ Das neue Internet ist dezentral. Das neue Internet ist selbstbestimmt. Nostr ist das neue Internet.

https://nostr.net/ \ https://start.njump.me/

Hier das Interview zum Thema mit Radio Berliner Morgenröte

https://www.podbean.com/ew/pb-yxc36-17bb4be

@ 04c915da:3dfbecc9

Bitcoin has always been rooted in freedom and resistance to authority. I get that many of you are conflicted about the US Government stacking but by design we cannot stop anyone from using bitcoin. Many have asked me for my thoughts on the matter, so let’s rip it.

Concern

One of the most glaring issues with the strategic bitcoin reserve is its foundation, built on stolen bitcoin. For those of us who value private property this is an obvious betrayal of our core principles. Rather than proof of work, the bitcoin that seeds this reserve has been taken by force. The US Government should return the bitcoin stolen from Bitfinex and the Silk Road.

Usually stolen bitcoin for the reserve creates a perverse incentive. If governments see a bitcoin as a valuable asset, they will ramp up efforts to confiscate more bitcoin. The precedent is a major concern, and I stand strongly against it, but it should be also noted that governments were already seizing coin before the reserve so this is not really a change in policy.

Ideally all seized bitcoin should be burned, by law. This would align incentives properly and make it less likely for the government to actively increase coin seizures. Due to the truly scarce properties of bitcoin, all burned bitcoin helps existing holders through increased purchasing power regardless. This change would be unlikely but those of us in policy circles should push for it regardless. It would be best case scenario for American bitcoiners and would create a strong foundation for the next century of American leadership.

Optimism

The entire point of bitcoin is that we can spend or save it without permission. That said, it is a massive benefit to not have one of the strongest governments in human history actively trying to ruin our lives.

Since the beginning, bitcoiners have faced horrible regulatory trends. KYC, surveillance, and legal cases have made using bitcoin and building bitcoin businesses incredibly difficult. It is incredibly important to note that over the past year that trend has reversed for the first time in a decade. A strategic bitcoin reserve is a key driver of this shift. By holding bitcoin, the strongest government in the world has signaled that it is not just a fringe technology but rather truly valuable, legitimate, and worth stacking.

This alignment of incentives changes everything. The US Government stacking proves bitcoin’s worth. The resulting purchasing power appreciation helps all of us who are holding coin and as bitcoin succeeds our government receives direct benefit. A beautiful positive feedback loop.

Realism

We are trending in the right direction. A strategic bitcoin reserve is a sign that the state sees bitcoin as an asset worth embracing rather than destroying. That said, there is a lot of work left to be done. We cannot be lulled into complacency, the time to push forward is now, and we cannot take our foot off the gas. We have a seat at the table for the first time ever. Let's make it worth it.

We must protect the right to free usage of bitcoin and other digital technologies. Freedom in the digital age must be taken and defended, through both technical and political avenues. Multiple privacy focused developers are facing long jail sentences for building tools that protect our freedom. These cases are not just legal battles. They are attacks on the soul of bitcoin. We need to rally behind them, fight for their freedom, and ensure the ethos of bitcoin survives this new era of government interest. The strategic reserve is a step in the right direction, but it is up to us to hold the line and shape the future.

@ f9cf4e94:96abc355

Para esse exemplo iremos usar: | Nome | Imagem | Descrição | | --------------- | ------------------------------------------------------------ | ------------------------------------------------------------ | | Raspberry PI B+ | | Cortex-A53 (ARMv8) 64-bit a 1.4GHz e 1 GB de SDRAM LPDDR2, | | Pen drive | | 16Gb |

Recomendo que use o Ubuntu Server para essa instalação. Você pode baixar o Ubuntu para Raspberry Pi aqui. O passo a passo para a instalação do Ubuntu no Raspberry Pi está disponível aqui. Não instale um desktop (como xubuntu, lubuntu, xfce, etc.).

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Passo 1: Atualizar o Sistema 🖥️

Primeiro, atualize seu sistema e instale o Tor:

bash apt update apt install tor

---

Passo 2: Criar o Arquivo de Serviço nrs.service 🔧

Crie o arquivo de serviço que vai gerenciar o servidor Nostr. Você pode fazer isso com o seguinte conteúdo:

```unit [Unit] Description=Nostr Relay Server Service After=network.target

[Service] Type=simple WorkingDirectory=/opt/nrs ExecStart=/opt/nrs/nrs-arm64 Restart=on-failure

[Install] WantedBy=multi-user.target ```

---

Passo 3: Baixar o Binário do Nostr 🚀

Baixe o binário mais recente do Nostr aqui no GitHub.

---

Passo 4: Criar as Pastas Necessárias 📂

Agora, crie as pastas para o aplicativo e o pendrive:

bash mkdir -p /opt/nrs /mnt/edriver

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Passo 5: Listar os Dispositivos Conectados 🔌

Para saber qual dispositivo você vai usar, liste todos os dispositivos conectados:

bash lsblk

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Passo 6: Formatando o Pendrive 💾

Escolha o pendrive correto (por exemplo, /dev/sda) e formate-o:

bash mkfs.vfat /dev/sda

---

Passo 7: Montar o Pendrive 💻

Monte o pendrive na pasta /mnt/edriver:

bash mount /dev/sda /mnt/edriver

---

Passo 8: Verificar UUID dos Dispositivos 📋

Para garantir que o sistema monte o pendrive automaticamente, liste os UUID dos dispositivos conectados:

bash blkid

---

Passo 9: Alterar o fstab para Montar o Pendrive Automáticamente 📝

Abra o arquivo /etc/fstab e adicione uma linha para o pendrive, com o UUID que você obteve no passo anterior. A linha deve ficar assim:

fstab UUID=9c9008f8-f852 /mnt/edriver vfat defaults 0 0

---

Passo 10: Copiar o Binário para a Pasta Correta 📥

Agora, copie o binário baixado para a pasta /opt/nrs:

bash cp nrs-arm64 /opt/nrs

---

Passo 11: Criar o Arquivo de Configuração 🛠️

Crie o arquivo de configuração com o seguinte conteúdo e salve-o em /opt/nrs/config.yaml:

yaml app_env: production info: name: Nostr Relay Server description: Nostr Relay Server pub_key: "" contact: "" url: http://localhost:3334 icon: https://external-content.duckduckgo.com/iu/?u= https://public.bnbstatic.com/image/cms/crawler/COINCU_NEWS/image-495-1024x569.png base_path: /mnt/edriver negentropy: true

---

Passo 12: Copiar o Serviço para o Diretório de Systemd ⚙️

Agora, copie o arquivo nrs.service para o diretório /etc/systemd/system/:

bash cp nrs.service /etc/systemd/system/

Recarregue os serviços e inicie o serviço nrs:

bash systemctl daemon-reload systemctl enable --now nrs.service

---

Passo 13: Configurar o Tor 🌐

Abra o arquivo de configuração do Tor /var/lib/tor/torrc e adicione a seguinte linha:

torrc HiddenServiceDir /var/lib/tor/nostr_server/ HiddenServicePort 80 127.0.0.1:3334

---

Passo 14: Habilitar e Iniciar o Tor 🧅

Agora, ative e inicie o serviço Tor:

bash systemctl enable --now tor.service

O Tor irá gerar um endereço .onion para o seu servidor Nostr. Você pode encontrá-lo no arquivo /var/lib/tor/nostr_server/hostname.

---

Observações ⚠️

• Com essa configuração, os dados serão salvos no pendrive, enquanto o binário ficará no cartão SD do Raspberry Pi.
• O endereço .onion do seu servidor Nostr será algo como: ws://y3t5t5wgwjif<exemplo>h42zy7ih6iwbyd.onion.

---

Agora, seu servidor Nostr deve estar configurado e funcionando com Tor! 🥳

Se este artigo e as informações aqui contidas forem úteis para você, convidamos a considerar uma doação ao autor como forma de reconhecimento e incentivo à produção de novos conteúdos.

@ 6389be64:ef439d32

Black Locust can grow up to 170 ft tall

Grows 3-4 ft. per year

Native to North America

Cold hardy in zones 3 to 8

Firewood

• BLT wood, on a pound for pound basis is roughly half that of Anthracite Coal
• Since its growth is fast, firewood can be plentiful

Timber

• Rot resistant due to a naturally produced robinin in the wood
  • 100 year life span in full soil contact! (better than cedar performance)
  • Fence posts
  • Outdoor furniture
  • Outdoor decking
• Sustainable due to its fast growth and spread
  • Can be coppiced (cut to the ground)
  • Can be pollarded (cut above ground)
• Its dense wood makes durable tool handles, boxes (tool), and furniture
  • The wood is tougher than hickory, which is tougher than hard maple, which is tougher than oak.
  • A very low rate of expansion and contraction
  • Hardwood flooring
  • The highest tensile beam strength of any American tree
• The wood is beautiful

Legume

• Nitrogen fixer
  • Fixes the same amount of nitrogen per acre as is needed for 200-bushel/acre corn
  • Black walnuts inter-planted with locust as “nurse” trees were shown to rapidly increase their growth [[Clark, Paul M., and Robert D. Williams. (1978) Black walnut growth increased when interplanted with nitrogen-fixing shrubs and trees. Proceedings of the Indiana Academy of Science, vol. 88, pp. 88-91.]]

Bees

• The edible flower clusters are also a top food source for honey bees

Shade Provider

• Its light, airy overstory provides dappled shade
  • Planted on the west side of a garden it provides relief during the hottest part of the day
  • (nitrogen provider)
  • Planted on the west side of a house, its quick growth soon shades that side from the sun

Wind-break

• Fast growth plus it's feathery foliage reduces wind for animals, crops, and shelters

Fodder

• Over 20% crude protein
• 4.1 kcal/g of energy
• Baertsche, S.R, M.T. Yokoyama, and J.W. Hanover (1986) Short rotation, hardwood tree biomass as potential ruminant feed-chemical composition, nylon bag ruminal degradation and ensilement of selected species. J. Animal Sci. 63 2028-2043

@ 46fcbe30:6bd8ce4d

MEMORANDUM OF CONVERSATION

SUBJECT: Meeting with Russian President Yeltsin

PARTICIPANTS: - U.S. - President Clinton - Secretary Albright - National Security Advisor Berger - Deputy National Security Advisor Steinberg - Ambassador Sestanovich - Carlos Pascual

• Russia
• Russian President Yeltsin
• Foreign Minister Ivanov
• Kremlin Foreign Policy Advisor Prihodko
• Defense Minister Sergeyev
• Interpreter: Peter Afansenko
• Notetaker: Carlos Pascual

DATE, TIME AND PLACE: November 19, 1999, 10:45 a.m. - 11:40 a.m. Istanbul, Turkey

President Yeltsin: We are in neutral territory here. I welcome you.

The President: Neither of us has a stake here. It's good to see you.

President Yeltsin: Well, Bill, what about those camps here in Turkey that are preparing troops to go into Chechnya? Aren't you in charge of those? I have the details. Minister Ivanov, give me the map. I want to show you where the mercenaries are being trained and then being sent into Chechnya. They are armed to the teeth. (Note: Yeltsin pulls out map of Turkey and circulates it.) Bill, this is your fault. I told Demirel yesterday that I will send the head of the SRV tomorrow and we will show him where the camps are located. These are not state-sanctioned camps. They are sponsored by NGOs and religious organizations. But let me tell you if this were in Russia and there were but one camp, I would throw them all out and put the bandits in the electric chair.

The President: Perhaps Demirel could help you.

President Yeltsin: Well, he ought to. Tomorrow after I get back, I will send the head of the Foreign Intelligence Service here. Bill, did you hurt your leg?

The President: Yes, but it is not bad.

President Yeltsin: When one leg of the President hurts, that is a bad thing.

The President: It lets me know I am alive.

President Yeltsin: I know we are not upset at each other. We were just throwing some jabs. I'm still waiting for you to visit. Bill. I've said to you come to visit in May, then June, then July and then August. Now it's past October and you're still not there.

The President: You're right, Boris, I owe you a visit.

President Yeltsin: Last time I went to the U.S., Bill.

The President: Well, I better set it up. I'll look at the calendar and find a time that's good for you and me.

President Yeltsin: Call me and tell me the month and date. Unless I have another visit, I will do the maximum amount I can to do everything around your schedule. The main things I have are to go to China and India.

The President: Boris, we still have lots to do together.

President Yeltsin: You heard my statement on nuclear arms and on banning nuclear tests. I just signed a law on ratification of a new agreement on the Comprehensive Test Ban Treaty. Isn't that right, Minister Ivanov?

Minister Ivanov: You signed the documents that sent the Comprehensive Test Ban Treaty to the Duma for review.

President Yeltsin: Well, in any case, I still approved it.

The President: Maybe I can get the Congress to agree still. They kept the Treaty even after they rejected it. So perhaps, there is still a chance.

President Yeltsin: Or perhaps it's just the bureaucrats working and they haven't had a chance to send it back to you yet. I'm upset that you signed the law to change the ABM Treaty.

The President: I signed no such law. People in Congress don't like the ABM Treaty. If Congress had its way, they would undermine the treaty. I'm trying to uphold it. But we need a national missile defense to protect against rogue states. We can't have a national missile defense that works without changing the ABM Treaty. But I want to do this cooperatively. I want to persuade you that this is good for both of us. The primary purpose is to protect against terrorists and rogue states. It would be ineffective against Russia. The system we're looking at would operate against just 20 missiles. And, Boris I want to figure out how to share the benefits. For all I know, in twenty years terrorists could have access to nuclear weapons. I know your people don't agree with me, but I'm not trying to overthrow the ABM Treaty. We're still trying to discover what's technically possible with national missile defense, but there are people in America who want to throw over the ABM Treaty. I have made no decisions yet.

President Yeltsin: Bill, Bill. I got your note. It went into all these things in incredible detail. I read it and I was satisfied. I've not yet ceased to believe in you. I ask you one thing. Just give Europe to Russia. The U.S. is not in Europe. Europe should be the business of Europeans. Russia is half European and half Asian.

The President: So you want Asia too?

President Yeltsin: Sure, sure. Bill. Eventually, we will have to agree on all of this.

The President: I don't think the Europeans would like this very much.

President Yeltsin: Not all. But I am a European. I live in Moscow. Moscow is in Europe and I like it. You can take all the other states and provide security to them. I will take Europe and provide them security. Well, not I. Russia will. We will end this conflict in Chechnya. I didn't say all the things I was thinking (in his speech). I listened to you carefully. I took a break just beforehand. Then I listened to you from beginning to end. I can even repeat what you said. Bill, I'm serious. Give Europe to Europe itself. Europe never felt as close to Russia as it does now. We have no difference of opinion with Europe, except maybe on Afganistan and Pakistan—which, by the way, is training Chechens. These are bandits, headhunters and killers. They're raping American women. They're cutting off ears and other parts of their hostages. We're fighting these types of terrorists. Let's not accuse Russia that we are too rough with these kinds of people. There are only two options: kill them or put them on trial. There's no third option, but we can put them on trial, and sentence them to 20-25 years. How many Americans, French, British and Germans have I freed that were there in Chechnya under the OSCE? The Chechen killers don't like the language of the OSCE. Here's my Minister of Defense. Stand up. We have not lost one soldier down there. Tell them.

Minister Sergeyev: We did not lose one soldier in Gudermes.

President Yeltsin: You see, Gudermes was cleansed without one military or civilian killed. We killed 200 bandits. The Minister of Defense is fulfilling the plan as I have said it should be. He's doing this thoughtfully. The soldiers only ask: don't stop the campaign. I promised these guys—I told every soldier, marshal and general—I will bring the campaign to fruition. We have these Chechens under lock and key. We have the key. They can't get in, they can't get out. Except maybe through Georgia; that's Shevardnadze's big mistake. And through Azerbaijan; that's Aliyev's mistake. They're shuttling in under the name of Islam. We're for freedom of religion, but not for fundamentalist Islam. These extremists are against you and against me.

We have the power in Russia to protect all of Europe, including those with missiles. We'll make all the appropriate treaties with China. We're not going to provide nuclear weapons to India. If we give them submarines, it will be only conventional diesel submarines, not nuclear. They would be from the 935 generation. You're going in that direction too. I'm thinking about your proposal—well, what your armed forces are doing—getting rid of fissile materials, particularly plutonium. We should just get rid of it. As soon as it's there, people start thinking of how to make bombs. Look, Russia has the power and intellect to know what to do with Europe. If Ivanov stays here, he will initial the CFE Treaty and I'll sign it under him. But under the OSCE Charter, there is one thing I cannot agree—which is that, based on humanitarian causes, one state can interfere in the affairs of another state.

National Security Advisor Berger: Mr. President, there's nothing in the Charter on one state's interference in the affairs of another.

Secretary Albright: That's right. What the Charter says is that affairs within a state will affect the other states around it.

President Yeltsin: Russia agrees to take out its property and equipment from Georgia in accordance with the new CFE Treaty. I have a statement on this. (looking toward Ivanov) Give it to me. I signed it today. Actually, it was late last night. I like to work late.

The President: Me, too.

President Yeltsin: I know you like to work late, Bill. When you call me, I calculate the time and I tell myself it's 4 a.m. and he's calling me. It lets you cleanse your brain and you feel great. I am not criticizing you, Bill. The President should be encouraged to work hard.

The President: So, we will get an agreement on CFE.

President Yeltsin: Yes.

The President: That's very important, seven years. We've worked on this for a long time.

President Yeltsin: Look, Ivanov has lost the statement in his own bag. He can't find the paper in his own bag. On the Charter, we have to look at it from the beginning. The Charter's ready. However, when states begin to tie in the Charter with the final declaration that has wording unacceptable to us, that's when we'll say no. And responsibility for this will fall fully on the West. (Looking at Ivanov) Give me this thing. It is written on paper. Bill. I am ready to sign it. It is a declaration about what we're talking about.

Secretary Albright: Some states want to record in the declaration your willingness to have an OSCE mission.

President Yeltsin: No, not at all. We will finish this with our own forces. Chechnya is the business of the internal affairs of Russia. We have to decide what to do. After we cleansed Gudermes, the muslim mufti came and asked for help, said I hate Basayev and he should be banned. These are the kinds of leaders we will put forward. I have thought this through carefully.

The President: On the Chechen problem. I have been less critical than others. Even today, I asked the others how they would deal with this if it were their country. This is a political issue. It may be the best thing for you within Russia to tell the Europeans to go to hell. But the best thing for your relations with Europe for the long term is to figure out the policy that you want to have with Europe and to keep that in mind as you deal with Chechnya.

President Yeltsin: (Gets up rapidly) Bill, the meeting is up. We said 20 minutes and it has now been more than 35 minutes.

The President: That's fine. We can say the meeting is over.

President Yeltsin: This meeting has gone on too long. You should come to visit, Bill.

The President: Who will win the election?

President Yeltsin: Putin, of course. He will be the successor to Boris Yeltsin. He's a democrat, and he knows the West.

The President: He's very smart.

President Yeltsin: He's tough. He has an internal ramrod. He's tough internally, and I will do everything possible for him to win—legally, of course. And he will win. You'll do business together. He will continue the Yeltsin line on democracy and economics and widen Russia's contacts. He has the energy and the brains to succeed. Thank you, Bill.

The President: Thank you, Boris. It was good to see you.

End of Conversation

@ fc15d4c6:fba62950

Scenes from earlier today in Mzuzu after the Protest from angry citizens.

Source

1. Images sourced from WhatsApp
2. A Face of Malawi Post about the Protest [https://www.faceofmalawi.com/2025/03/11/protests-disrupt-business-in-mzuzu-as-flags-and-booths-demolished-police-intervene/]

@ 6389be64:ef439d32

Bitcoin is more than money, more than an asset, and more than a store of value. Bitcoin is a Prime Mover, an enabler and it ignites imaginations. It certainly fueled an idea in my mind. The idea integrates sensors, computational prowess, actuated machinery, power conversion, and electronic communications to form an autonomous, machined creature roaming forests and harvesting the most widespread and least energy-dense fuel source available. I call it the Forest Walker and it eats wood, and mines Bitcoin.

I know what you're thinking. Why not just put Bitcoin mining rigs where they belong: in a hosted facility sporting electricity from energy-dense fuels like natural gas, climate-controlled with excellent data piping in and out? Why go to all the trouble building a robot that digests wood creating flammable gasses fueling an engine to run a generator powering Bitcoin miners? It's all about synergy.

Bitcoin mining enables the realization of multiple, seemingly unrelated, yet useful activities. Activities considered un-profitable if not for Bitcoin as the Prime Mover. This is much more than simply mining the greatest asset ever conceived by humankind. It’s about the power of synergy, which Bitcoin plays only one of many roles. The synergy created by this system can stabilize forests' fire ecology while generating multiple income streams. That’s the realistic goal here and requires a brief history of American Forest management before continuing.

Smokey The Bear

In 1944, the Smokey Bear Wildfire Prevention Campaign began in the United States. “Only YOU can prevent forest fires” remains the refrain of the Ad Council’s longest running campaign. The Ad Council is a U.S. non-profit set up by the American Association of Advertising Agencies and the Association of National Advertisers in 1942. It would seem that the U.S. Department of the Interior was concerned about pesky forest fires and wanted them to stop. So, alongside a national policy of extreme fire suppression they enlisted the entire U.S. population to get onboard via the Ad Council and it worked. Forest fires were almost obliterated and everyone was happy, right? Wrong.

Smokey is a fantastically successful bear so forest fires became so few for so long that the fuel load - dead wood - in forests has become very heavy. So heavy that when a fire happens (and they always happen) it destroys everything in its path because the more fuel there is the hotter that fire becomes. Trees, bushes, shrubs, and all other plant life cannot escape destruction (not to mention homes and businesses). The soil microbiology doesn’t escape either as it is burned away even in deeper soils. To add insult to injury, hydrophobic waxy residues condense on the soil surface, forcing water to travel over the ground rather than through it eroding forest soils. Good job, Smokey. Well done, Sir!

Most terrestrial ecologies are “fire ecologies”. Fire is a part of these systems’ fuel load and pest management. Before we pretended to “manage” millions of acres of forest, fires raged over the world, rarely damaging forests. The fuel load was always too light to generate fires hot enough to moonscape mountainsides. Fires simply burned off the minor amounts of fuel accumulated since the fire before. The lighter heat, smoke, and other combustion gasses suppressed pests, keeping them in check and the smoke condensed into a plant growth accelerant called wood vinegar, not a waxy cap on the soil. These fires also cleared out weak undergrowth, cycled minerals, and thinned the forest canopy, allowing sunlight to penetrate to the forest floor. Without a fire’s heat, many pine tree species can’t sow their seed. The heat is required to open the cones (the seed bearing structure) of Spruce, Cypress, Sequoia, Jack Pine, Lodgepole Pine and many more. Without fire forests can’t have babies. The idea was to protect the forests, and it isn't working.

So, in a world of fire, what does an ally look like and what does it do?

Meet The Forest Walker

For the Forest Walker to work as a mobile, autonomous unit, a solid platform that can carry several hundred pounds is required. It so happens this chassis already exists but shelved.

Introducing the Legged Squad Support System (LS3). A joint project between Boston Dynamics, DARPA, and the United States Marine Corps, the quadrupedal robot is the size of a cow, can carry 400 pounds (180 kg) of equipment, negotiate challenging terrain, and operate for 24 hours before needing to refuel. Yes, it had an engine. Abandoned in 2015, the thing was too noisy for military deployment and maintenance "under fire" is never a high-quality idea. However, we can rebuild it to act as a platform for the Forest Walker; albeit with serious alterations. It would need to be bigger, probably. Carry more weight? Definitely. Maybe replace structural metal with carbon fiber and redesign much as 3D printable parts for more effective maintenance.

The original system has a top operational speed of 8 miles per hour. For our purposes, it only needs to move about as fast as a grazing ruminant. Without the hammering vibrations of galloping into battle, shocks of exploding mortars, and drunken soldiers playing "Wrangler of Steel Machines", time between failures should be much longer and the overall energy consumption much lower. The LS3 is a solid platform to build upon. Now it just needs to be pulled out of the mothballs, and completely refitted with outboard equipment.

The Small Branch Chipper

When I say “Forest fuel load” I mean the dead, carbon containing litter on the forest floor. Duff (leaves), fine-woody debris (small branches), and coarse woody debris (logs) are the fuel that feeds forest fires. Walk through any forest in the United States today and you will see quite a lot of these materials. Too much, as I have described. Some of these fuel loads can be 8 tons per acre in pine and hardwood forests and up to 16 tons per acre at active logging sites. That’s some big wood and the more that collects, the more combustible danger to the forest it represents. It also provides a technically unlimited fuel supply for the Forest Walker system.

The problem is that this detritus has to be chewed into pieces that are easily ingestible by the system for the gasification process (we’ll get to that step in a minute). What we need is a wood chipper attached to the chassis (the LS3); its “mouth”.

A small wood chipper handling material up to 2.5 - 3.0 inches (6.3 - 7.6 cm) in diameter would eliminate a substantial amount of fuel. There is no reason for Forest Walker to remove fallen trees. It wouldn’t have to in order to make a real difference. It need only identify appropriately sized branches and grab them. Once loaded into the chipper’s intake hopper for further processing, the beast can immediately look for more “food”. This is essentially kindling that would help ignite larger logs. If it’s all consumed by Forest Walker, then it’s not present to promote an aggravated conflagration.

I have glossed over an obvious question: How does Forest Walker see and identify branches and such? LiDaR (Light Detection and Ranging) attached to Forest Walker images the local area and feed those data to onboard computers for processing. Maybe AI plays a role. Maybe simple machine learning can do the trick. One thing is for certain: being able to identify a stick and cause robotic appendages to pick it up is not impossible.

Great! We now have a quadrupedal robot autonomously identifying and “eating” dead branches and other light, combustible materials. Whilst strolling through the forest, depleting future fires of combustibles, Forest Walker has already performed a major function of this system: making the forest safer. It's time to convert this low-density fuel into a high-density fuel Forest Walker can leverage. Enter the gasification process.

The Gassifier

The gasifier is the heart of the entire system; it’s where low-density fuel becomes the high-density fuel that powers the entire system. Biochar and wood vinegar are process wastes and I’ll discuss why both are powerful soil amendments in a moment, but first, what’s gasification?

Reacting shredded carbonaceous material at high temperatures in a low or no oxygen environment converts the biomass into biochar, wood vinegar, heat, and Synthesis Gas (Syngas). Syngas consists primarily of hydrogen, carbon monoxide, and methane. All of which are extremely useful fuels in a gaseous state. Part of this gas is used to heat the input biomass and keep the reaction temperature constant while the internal combustion engine that drives the generator to produce electrical power consumes the rest.

Critically, this gasification process is “continuous feed”. Forest Walker must intake biomass from the chipper, process it to fuel, and dump the waste (CO2, heat, biochar, and wood vinegar) continuously. It cannot stop. Everything about this system depends upon this continual grazing, digestion, and excretion of wastes just as a ruminal does. And, like a ruminant, all waste products enhance the local environment.

When I first heard of gasification, I didn’t believe that it was real. Running an electric generator from burning wood seemed more akin to “conspiracy fantasy” than science. Not only is gasification real, it’s ancient technology. A man named Dean Clayton first started experiments on gasification in 1699 and in 1901 gasification was used to power a vehicle. By the end of World War II, there were 500,000 Syngas powered vehicles in Germany alone because of fossil fuel rationing during the war. The global gasification market was $480 billion in 2022 and projected to be as much as $700 billion by 2030 (Vantage Market Research). Gasification technology is the best choice to power the Forest Walker because it’s self-contained and we want its waste products.

Biochar: The Waste

Biochar (AKA agricultural charcoal) is fairly simple: it’s almost pure, solid carbon that resembles charcoal. Its porous nature packs large surface areas into small, 3 dimensional nuggets. Devoid of most other chemistry, like hydrocarbons (methane) and ash (minerals), biochar is extremely lightweight. Do not confuse it with the charcoal you buy for your grill. Biochar doesn’t make good grilling charcoal because it would burn too rapidly as it does not contain the multitude of flammable components that charcoal does. Biochar has several other good use cases. Water filtration, water retention, nutrient retention, providing habitat for microscopic soil organisms, and carbon sequestration are the main ones that we are concerned with here.

Carbon has an amazing ability to adsorb (substances stick to and accumulate on the surface of an object) manifold chemistries. Water, nutrients, and pollutants tightly bind to carbon in this format. So, biochar makes a respectable filter and acts as a “battery” of water and nutrients in soils. Biochar adsorbs and holds on to seven times its weight in water. Soil containing biochar is more drought resilient than soil without it. Adsorbed nutrients, tightly sequestered alongside water, get released only as plants need them. Plants must excrete protons (H+) from their roots to disgorge water or positively charged nutrients from the biochar's surface; it's an active process.

Biochar’s surface area (where adsorption happens) can be 500 square meters per gram or more. That is 10% larger than an official NBA basketball court for every gram of biochar. Biochar’s abundant surface area builds protective habitats for soil microbes like fungi and bacteria and many are critical for the health and productivity of the soil itself.

The “carbon sequestration” component of biochar comes into play where “carbon credits” are concerned. There is a financial market for carbon. Not leveraging that market for revenue is foolish. I am climate agnostic. All I care about is that once solid carbon is inside the soil, it will stay there for thousands of years, imparting drought resiliency, fertility collection, nutrient buffering, and release for that time span. I simply want as much solid carbon in the soil because of the undeniably positive effects it has, regardless of any climactic considerations.

Wood Vinegar: More Waste

Another by-product of the gasification process is wood vinegar (Pyroligneous acid). If you have ever seen Liquid Smoke in the grocery store, then you have seen wood vinegar. Principally composed of acetic acid, acetone, and methanol wood vinegar also contains ~200 other organic compounds. It would seem intuitive that condensed, liquefied wood smoke would at least be bad for the health of all living things if not downright carcinogenic. The counter intuition wins the day, however. Wood vinegar has been used by humans for a very long time to promote digestion, bowel, and liver health; combat diarrhea and vomiting; calm peptic ulcers and regulate cholesterol levels; and a host of other benefits.

For centuries humans have annually burned off hundreds of thousands of square miles of pasture, grassland, forest, and every other conceivable terrestrial ecosystem. Why is this done? After every burn, one thing becomes obvious: the almost supernatural growth these ecosystems exhibit after the burn. How? Wood vinegar is a component of this growth. Even in open burns, smoke condenses and infiltrates the soil. That is when wood vinegar shows its quality.

This stuff beefs up not only general plant growth but seed germination as well and possesses many other qualities that are beneficial to plants. It’s a pesticide, fungicide, promotes beneficial soil microorganisms, enhances nutrient uptake, and imparts disease resistance. I am barely touching a long list of attributes here, but you want wood vinegar in your soil (alongside biochar because it adsorbs wood vinegar as well).

The Internal Combustion Engine

Conversion of grazed forage to chemical, then mechanical, and then electrical energy completes the cycle. The ICE (Internal Combustion Engine) converts the gaseous fuel output from the gasifier to mechanical energy, heat, water vapor, and CO2. It’s the mechanical energy of a rotating drive shaft that we want. That rotation drives the electric generator, which is the heartbeat we need to bring this monster to life. Luckily for us, combined internal combustion engine and generator packages are ubiquitous, delivering a defined energy output given a constant fuel input. It’s the simplest part of the system.

The obvious question here is whether the amount of syngas provided by the gasification process will provide enough energy to generate enough electrons to run the entire system or not. While I have no doubt the energy produced will run Forest Walker's main systems the question is really about the electrons left over. Will it be enough to run the Bitcoin mining aspect of the system? Everything is a budget.

CO2 Production For Growth

Plants are lollipops. No matter if it’s a tree or a bush or a shrubbery, the entire thing is mostly sugar in various formats but mostly long chain carbohydrates like lignin and cellulose. Plants need three things to make sugar: CO2, H2O and light. In a forest, where tree densities can be quite high, CO2 availability becomes a limiting growth factor. It’d be in the forest interests to have more available CO2 providing for various sugar formation providing the organism with food and structure.

An odd thing about tree leaves, the openings that allow gasses like the ever searched for CO2 are on the bottom of the leaf (these are called stomata). Not many stomata are topside. This suggests that trees and bushes have evolved to find gasses like CO2 from below, not above and this further suggests CO2 might be in higher concentrations nearer the soil.

The soil life (bacterial, fungi etc.) is constantly producing enormous amounts of CO2 and it would stay in the soil forever (eventually killing the very soil life that produces it) if not for tidal forces. Water is everywhere and whether in pools, lakes, oceans or distributed in “moist” soils water moves towards to the moon. The water in the soil and also in the water tables below the soil rise toward the surface every day. When the water rises, it expels the accumulated gasses in the soil into the atmosphere and it’s mostly CO2. It’s a good bet on how leaves developed high populations of stomata on the underside of leaves. As the water relaxes (the tide goes out) it sucks oxygenated air back into the soil to continue the functions of soil life respiration. The soil “breathes” albeit slowly.

The gasses produced by the Forest Walker’s internal combustion engine consist primarily of CO2 and H2O. Combusting sugars produce the same gasses that are needed to construct the sugars because the universe is funny like that. The Forest Walker is constantly laying down these critical construction elements right where the trees need them: close to the ground to be gobbled up by the trees.

The Branch Drones

During the last ice age, giant mammals populated North America - forests and otherwise. Mastodons, woolly mammoths, rhinos, short-faced bears, steppe bison, caribou, musk ox, giant beavers, camels, gigantic ground-dwelling sloths, glyptodons, and dire wolves were everywhere. Many were ten to fifteen feet tall. As they crashed through forests, they would effectively cleave off dead side-branches of trees, halting the spread of a ground-based fire migrating into the tree crown ("laddering") which is a death knell for a forest.

These animals are all extinct now and forests no longer have any manner of pruning services. But, if we build drones fitted with cutting implements like saws and loppers, optical cameras and AI trained to discern dead branches from living ones, these drones could effectively take over pruning services by identifying, cutting, and dropping to the forest floor, dead branches. The dropped branches simply get collected by the Forest Walker as part of its continual mission.

The drones dock on the back of the Forest Walker to recharge their batteries when low. The whole scene would look like a grazing cow with some flies bothering it. This activity breaks the link between a relatively cool ground based fire and the tree crowns and is a vital element in forest fire control.

The Bitcoin Miner

Mining is one of four monetary incentive models, making this system a possibility for development. The other three are US Dept. of the Interior, township, county, and electrical utility company easement contracts for fuel load management, global carbon credits trading, and data set sales. All the above depends on obvious questions getting answered. I will list some obvious ones, but this is not an engineering document and is not the place for spreadsheets. How much Bitcoin one Forest Walker can mine depends on everything else. What amount of biomass can we process? Will that biomass flow enough Syngas to keep the lights on? Can the chassis support enough mining ASICs and supporting infrastructure? What does that weigh and will it affect field performance? How much power can the AC generator produce?

Other questions that are more philosophical persist. Even if a single Forest Walker can only mine scant amounts of BTC per day, that pales to how much fuel material it can process into biochar. We are talking about millions upon millions of forested acres in need of fuel load management. What can a single Forest Walker do? I am not thinking in singular terms. The Forest Walker must operate as a fleet. What could 50 do? 500?

What is it worth providing a service to the world by managing forest fuel loads? Providing proof of work to the global monetary system? Seeding soil with drought and nutrient resilience by the excretion, over time, of carbon by the ton? What did the last forest fire cost?

The Mesh Network

What could be better than one bitcoin mining, carbon sequestering, forest fire squelching, soil amending behemoth? Thousands of them, but then they would need to be able to talk to each other to coordinate position, data handling, etc. Fitted with a mesh networking device, like goTenna or Meshtastic LoRa equipment enables each Forest Walker to communicate with each other.

Now we have an interconnected fleet of Forest Walkers relaying data to each other and more importantly, aggregating all of that to the last link in the chain for uplink. Well, at least Bitcoin mining data. Since block data is lightweight, transmission of these data via mesh networking in fairly close quartered environs is more than doable. So, how does data transmit to the Bitcoin Network? How do the Forest Walkers get the previous block data necessary to execute on mining?

Back To The Chain

Getting Bitcoin block data to and from the network is the last puzzle piece. The standing presumption here is that wherever a Forest Walker fleet is operating, it is NOT within cell tower range. We further presume that the nearest Walmart Wi-Fi is hours away. Enter the Blockstream Satellite or something like it.

A separate, ground-based drone will have two jobs: To stay as close to the nearest Forest Walker as it can and to provide an antennae for either terrestrial or orbital data uplink. Bitcoin-centric data is transmitted to the "uplink drone" via the mesh networked transmitters and then sent on to the uplink and the whole flow goes in the opposite direction as well; many to one and one to many.

We cannot transmit data to the Blockstream satellite, and it will be up to Blockstream and companies like it to provide uplink capabilities in the future and I don't doubt they will. Starlink you say? What’s stopping that company from filtering out block data? Nothing because it’s Starlink’s system and they could decide to censor these data. It seems we may have a problem sending and receiving Bitcoin data in back country environs.

But, then again, the utility of this system in staunching the fuel load that creates forest fires is extremely useful around forested communities and many have fiber, Wi-Fi and cell towers. These communities could be a welcoming ground zero for first deployments of the Forest Walker system by the home and business owners seeking fire repression. In the best way, Bitcoin subsidizes the safety of the communities.

Sensor Packages

LiDaR

The benefit of having a Forest Walker fleet strolling through the forest is the never ending opportunity for data gathering. A plethora of deployable sensors gathering hyper-accurate data on everything from temperature to topography is yet another revenue generator. Data is valuable and the Forest Walker could generate data sales to various government entities and private concerns.

LiDaR (Light Detection and Ranging) can map topography, perform biomass assessment, comparative soil erosion analysis, etc. It so happens that the Forest Walker’s ability to “see,” to navigate about its surroundings, is LiDaR driven and since it’s already being used, we can get double duty by harvesting that data for later use. By using a laser to send out light pulses and measuring the time it takes for the reflection of those pulses to return, very detailed data sets incrementally build up. Eventually, as enough data about a certain area becomes available, the data becomes useful and valuable.

Forestry concerns, both private and public, often use LiDaR to build 3D models of tree stands to assess the amount of harvest-able lumber in entire sections of forest. Consulting companies offering these services charge anywhere from several hundred to several thousand dollars per square kilometer for such services. A Forest Walker generating such assessments on the fly while performing its other functions is a multi-disciplinary approach to revenue generation.

pH, Soil Moisture, and Cation Exchange Sensing

The Forest Walker is quadrupedal, so there are four contact points to the soil. Why not get a pH data point for every step it takes? We can also gather soil moisture data and cation exchange capacities at unheard of densities because of sampling occurring on the fly during commission of the system’s other duties. No one is going to build a machine to do pH testing of vast tracts of forest soils, but that doesn’t make the data collected from such an endeavor valueless. Since the Forest Walker serves many functions at once, a multitude of data products can add to the return on investment component.

Weather Data

Temperature, humidity, pressure, and even data like evapotranspiration gathered at high densities on broad acre scales have untold value and because the sensors are lightweight and don’t require large power budgets, they come along for the ride at little cost. But, just like the old mantra, “gas, grass, or ass, nobody rides for free”, these sensors provide potential revenue benefits just by them being present.

I’ve touched on just a few data genres here. In fact, the question for universities, governmental bodies, and other institutions becomes, “How much will you pay us to attach your sensor payload to the Forest Walker?”

Noise Suppression

Only you can prevent Metallica filling the surrounds with 120 dB of sound. Easy enough, just turn the car stereo off. But what of a fleet of 50 Forest Walkers operating in the backcountry or near a township? 500? 5000? Each one has a wood chipper, an internal combustion engine, hydraulic pumps, actuators, and more cooling fans than you can shake a stick at. It’s a walking, screaming fire-breathing dragon operating continuously, day and night, twenty-four hours a day, three hundred sixty-five days a year. The sound will negatively affect all living things and that impacts behaviors. Serious engineering consideration and prowess must deliver a silencing blow to the major issue of noise.

It would be foolish to think that a fleet of Forest Walkers could be silent, but if not a major design consideration, then the entire idea is dead on arrival. Townships would not allow them to operate even if they solved the problem of widespread fuel load and neither would governmental entities, and rightly so. Nothing, not man nor beast, would want to be subjected to an eternal, infernal scream even if it were to end within days as the fleet moved further away after consuming what it could. Noise and heat are the only real pollutants of this system; taking noise seriously from the beginning is paramount.

Fire Safety

A “fire-breathing dragon” is not the worst description of the Forest Walker. It eats wood, combusts it at very high temperatures and excretes carbon; and it does so in an extremely flammable environment. Bad mix for one Forest Walker, worse for many. One must take extreme pains to ensure that during normal operation, a Forest Walker could fall over, walk through tinder dry brush, or get pounded into the ground by a meteorite from Krypton and it wouldn’t destroy epic swaths of trees and baby deer. I envision an ultimate test of a prototype to include dowsing it in grain alcohol while it’s wrapped up in toilet paper like a pledge at a fraternity party. If it runs for 72 hours and doesn’t set everything on fire, then maybe outside entities won’t be fearful of something that walks around forests with a constant fire in its belly.

The Wrap

How we think about what can be done with and adjacent to Bitcoin is at least as important as Bitcoin’s economic standing itself. For those who will tell me that this entire idea is without merit, I say, “OK, fine. You can come up with something, too.” What can we plug Bitcoin into that, like a battery, makes something that does not work, work? That’s the lesson I get from this entire exercise. No one was ever going to hire teams of humans to go out and "clean the forest". There's no money in that. The data collection and sales from such an endeavor might provide revenues over the break-even point but investment demands Alpha in this day and age. But, plug Bitcoin into an almost viable system and, voilà! We tip the scales to achieve lift-off.

Let’s face it, we haven’t scratched the surface of Bitcoin’s forcing function on our minds. Not because it’s Bitcoin, but because of what that invention means. The question that pushes me to approach things this way is, “what can we create that one system’s waste is another system’s feedstock?” The Forest Walker system’s only real waste is the conversion of low entropy energy (wood and syngas) into high entropy energy (heat and noise). All other output is beneficial to humanity.

Bitcoin, I believe, is the first product of a new mode of human imagination. An imagination newly forged over the past few millennia of being lied to, stolen from, distracted and otherwise mis-allocated to a black hole of the nonsensical. We are waking up.

What I have presented is not science fiction. Everything I have described here is well within the realm of possibility. The question is one of viability, at least in terms of the detritus of the old world we find ourselves departing from. This system would take a non-trivial amount of time and resources to develop. I think the system would garner extensive long-term contracts from those who have the most to lose from wildfires, the most to gain from hyperaccurate data sets, and, of course, securing the most precious asset in the world. Many may not see it that way, for they seek Alpha and are therefore blind to other possibilities. Others will see only the possibilities; of thinking in a new way, of looking at things differently, and dreaming of what comes next.

@ a012dc82:6458a70d

Argentina's journey through economic turmoil has been long and fraught with challenges. The country has grappled with inflation, debt, and a fragile economic structure that has left policymakers searching for solutions. In this context, President Javier Milei's introduction of the "Ley Ómnibus" represented a bold step towards addressing these systemic issues. The reform package was not just a set of isolated measures but a comprehensive plan aimed at overhauling the Argentine economy and social framework. The intention was to create a more robust, free, and prosperous Argentina, where economic freedoms could lead to broader social benefits.

The "Ley Ómnibus" was ambitious in its scope, covering a wide range of areas from tax reform to social policies, aiming to stimulate economic growth, reduce bureaucratic red tape, and enhance the overall quality of life for Argentines. This package was seen as a critical move to reset the economic compass of the country, aiming to attract foreign investment, boost local industry, and provide a clearer, more stable environment for businesses and individuals alike. However, such sweeping reforms were bound to encounter resistance, particularly when they touched upon sensitive areas like taxation and digital assets.

Table of Contents

• The Crypto Tax Proposal: Initial Considerations

• Public Backlash and Strategic Withdrawal

• The Rationale Behind Dropping Crypto Taxes

• Implications for Crypto Investors and the Market

• Milei's Political Strategy and Future Prospects

• Conclusion

• FAQs

The Crypto Tax Proposal: Initial Considerations

Within the vast array of proposals in the Ley Ómnibus, the crypto tax stood out due to its novelty and the growing interest in digital currencies within Argentina. The country had seen a surge in cryptocurrency adoption, driven by factors such as high inflation rates and currency controls that made traditional financial systems less attractive. Cryptocurrencies offered an alternative for savings, investment, and transactions, leading to a burgeoning crypto economy.

The initial rationale behind proposing a crypto tax was multifaceted. On one hand, it aimed to bring Argentina in line with global trends where countries are increasingly seeking to regulate and tax digital currencies. On the other hand, it was seen as a potential new revenue stream for the government, which was desperately seeking funds to address its fiscal deficits. The proposal also intended to bring transparency to a sector that is often criticized for its opacity, making it easier to combat fraud, money laundering, and other illicit activities associated with cryptocurrencies.

However, the proposal was not just about regulation and revenue. It was also a litmus test for Argentina's approach to innovation and digital transformation. How the government handled this issue would signal its stance towards new technologies and economic paradigms, which are increasingly dominated by digital assets and fintech innovations.

Public Backlash and Strategic Withdrawal

The backlash against the proposed crypto taxes was swift and significant. The crypto community in Argentina, which had been flourishing in an environment of relative freedom, saw the tax as a direct threat to its growth and viability. But the discontent went beyond the crypto enthusiasts; the general public, already burdened by high taxes and economic instability, viewed the proposal as yet another financial strain.

The protests and debates that ensued highlighted a broader discontent with the government's approach to economic management. Many Argentines felt that the focus should be on fixing the fundamental issues plaguing the economy, such as inflation and corruption, rather than imposing new taxes. The crypto tax became a symbol of the government's perceived detachment from the real concerns of its citizens.

In this heated atmosphere, President Milei's decision to withdraw the crypto tax proposal from the Ley Ómnibus was not just a tactical retreat; it was a necessary move to quell the growing unrest and focus on more pressing economic reforms. This decision underscored the complexities of governing in a highly polarized environment and the need for a more nuanced approach to policy-making, especially when dealing with emerging technologies and markets.

The Rationale Behind Dropping Crypto Taxes

The decision to drop the crypto tax from the omnibus reform package was not taken lightly. It was a recognition of the crypto sector's unique dynamics and the government's limitations in effectively regulating and taxing this space without stifling innovation. The move also reflected a broader understanding of the economic landscape, where rapid development and legislative efficiency were deemed more crucial than ever.

By removing the contentious clauses, the government aimed to streamline the passage of the Ley Ómnibus, ensuring that other, less controversial, reforms could be implemented swiftly. This strategic pivot was also a nod to the global debate on how best to integrate cryptocurrencies into national economies. Argentina's government recognized that a more cautious and informed approach was necessary, one that could balance the need for regulation with the desire to foster a thriving digital economy.

Furthermore, the withdrawal of the crypto tax proposal can be seen as an acknowledgment of the power of public opinion and the crypto community's growing influence. It highlighted the need for governments to engage with stakeholders and understand the implications of new technologies before rushing to regulate them.

Implications for Crypto Investors and the Market

The removal of the crypto tax proposal has had immediate and significant implications for the Argentine crypto market. For investors, the decision has provided a reprieve from the uncertainty that had clouded the sector, allowing them to breathe a sigh of relief and continue their activities without the looming threat of new taxes. This has helped sustain the momentum of the crypto market in Argentina, which is seen as a vital component of the country's digital transformation and economic diversification.

However, the situation remains complex and fluid. The government's stance on cryptocurrencies is still evolving, and future regulations could impact the market in unforeseen ways. Investors are now more aware of the need to stay informed and engaged with regulatory developments, understanding that the legal landscape for digital currencies is still being shaped.

The episode has also highlighted the broader challenges facing the Argentine economy, including the need for comprehensive tax reform and the creation of a more conducive environment for technological innovation and investment. The crypto market's response to the government's actions reflects the delicate balance between regulation and growth, a balance that will be crucial for Argentina's economic future.

Milei's Political Strategy and Future Prospects

President Milei's handling of the crypto tax controversy reveals much about his political strategy and vision for Argentina. By withdrawing the proposal, he demonstrated a willingness to listen to public concerns and adapt his policies accordingly. This flexibility could be a key asset as he navigates the complex landscape of Argentine politics and governance.

The episode also offers insights into the potential future direction of Milei's administration. The focus on economic reforms, coupled with a pragmatic approach to contentious issues, suggests a leadership style that prioritizes economic stability and growth over ideological purity. This could bode well for Argentina's future, particularly if Milei can harness the energy and innovation of the digital economy as part of his broader reform agenda.

However, the challenges ahead are significant. The Ley Ómnibus is just one part of a larger puzzle, and Milei's ability to implement comprehensive reforms will be tested in the coming months and years. The crypto tax saga has shown that while change is possible, it requires careful negotiation, stakeholder engagement, and a clear understanding of the economic and social landscape.

Conclusion

The story of Argentina's crypto tax proposal is a microcosm of the broader challenges facing the country as it seeks to reform its economy and society. It highlights the tensions between innovation and regulation, the importance of public opinion, and the complexities of governance in a rapidly changing world.

As Argentina moves forward, the lessons learned from this episode will be invaluable. The need for clear, informed, and inclusive policy-making has never been greater, particularly as the country navigates the uncertainties of the digital age.

FAQs

What is the Ley Ómnibus? The Ley Ómnibus, formally known as the "Law of Bases and Starting Points for the Freedom of Argentines," is a comprehensive reform package introduced by President Javier Milei. It aims to address various economic, social, and administrative issues in Argentina, aiming to stimulate growth, reduce bureaucracy, and improve the overall quality of life.

Why were crypto taxes proposed in Argentina? Crypto taxes were proposed as part of the Ley Ómnibus to broaden the tax base, align with global trends of regulating digital currencies, and generate additional revenue for the government. They were also intended to bring more transparency to the cryptocurrency sector in Argentina.

Why were the proposed crypto taxes withdrawn? The proposed crypto taxes were withdrawn due to significant public backlash and concerns that they would stifle innovation and economic freedom in the burgeoning crypto market. The decision was also influenced by the government's priority to ensure the swift passage of other reforms within the Ley Ómnibus.

What does the withdrawal of crypto taxes mean for investors? The withdrawal means that, for now, crypto investors in Argentina will not face additional taxes specifically targeting their cryptocurrency holdings or transactions. However, selling large amounts of cryptocurrency at a profit will still be subject to income tax.

That's all for today

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DISCLAIMER: None of this is financial advice. This newsletter is strictly educational and is not investment advice or a solicitation to buy or sell any assets or to make any financial decisions. Please be careful and do your own research.

@ e5de992e:4a95ef85

Many traders and investors fall into a dangerous mindset: thinking the market is "too cheap" and should go up, or "too expensive" and should go down.

This kind of thinking leads to forcing your view onto the market—which is one of the most expensive mistakes you can make. The market doesn’t care about your opinion. It moves based on supply, demand, liquidity, and psychology—not what you think it “should” do.

If you want to succeed in trading, you must learn to read and follow the market, not fight it.

---

The Market Doesn't Care About "Cheap" or "Expensive"

Let’s break this down:

1. Cheap Stocks Can Get Cheaper

• A stock dropping from $100 to $50 may look cheap.
• But if it’s in a strong downtrend, it can drop to $30, then $10.
• "Cheap" is never a reason to buy—you need confirmation that demand is returning.

2. Expensive Stocks Can Get Even More Expensive

• A stock at all-time highs may seem overpriced.
• But if demand keeps pushing it higher, it can go much further than most expect.
• "Overvalued" stocks can stay overvalued for years while continuing to climb.

📌 Example: Tesla (TSLA)
- In 2019, Tesla looked "overpriced" at $50 (split-adjusted)—many traders shorted it.
- By 2021, it hit $400—a 700%+ increase.
- Those who tried to force their bearish view onto the market lost everything.

---

The Cost of Fighting the Market

Forcing your bias onto the market is a losing game.

• If you short a stock just because it "looks too expensive," you might get squeezed.
• If you buy a stock just because it "looks too cheap," you might be catching a falling knife.

Instead, you must follow the price action and trade what’s actually happening—not what you think should happen.

---

How to Read and Follow the Market

1. Price Is the Truth

• The market’s job is to price in all available information—fundamentals, news, expectations, liquidity.
• Your job is to analyze what the market is actually doing, not what you think it should do.
• Uptrends = buyers are in control. Downtrends = sellers are in control.

2. Trend Matters More Than Your Opinion

• Uptrends tend to continue → Look for strong stocks making higher highs.
• Downtrends tend to continue → Avoid trying to catch the bottom.
• Sideways markets are uncertain → Wait for confirmation before acting.

3. Follow Strength, Avoid Weakness

• Strong stocks keep getting stronger—leaders emerge from healthy markets.
• Weak stocks keep getting weaker—avoid stocks in long-term downtrends.
• Always ask: "Is the market rewarding this trend?"

📌 Example: Nvidia (NVDA)
- Many thought NVDA was “too expensive” at $200 in early 2023.
- It kept running past $400, then $500—doubling in value.
- Those who followed the trend profited, while those who fought it got crushed.

---

Final Thoughts: Adapt or Lose

🚫 The market is never "too cheap" or "too expensive"—it just is.
🚫 Trying to force your view onto the market will cost you.
✅ Your job is to read the market, follow the trend, and adapt.

The market rewards discipline, patience, and trend-following—not stubborn opinions.

💡 Action Step: Next time you feel the urge to fade a strong trend or buy a falling knife, ask yourself: "Am I trading my opinion or the actual market?"

Trade what’s happening—not what you wish would happen. 🚀

@ f3873798:24b3f2f3

Recentemente, assisti a um vídeo que me fez refletir profundamente sobre o impacto da linguagem na hora de vender. No vídeo, uma jovem relatava sua experiência ao presenciar um vendedor de amendoim em uma agência dos Correios. O local estava cheio, as pessoas aguardavam impacientes na fila e, em meio a esse cenário, um homem humilde tentava vender seu produto. Mas sua abordagem não era estratégica; ao invés de destacar os benefícios do amendoim, ele suplicava para que alguém o ajudasse comprando. O resultado? Ninguém se interessou.

A jovem observou que o problema não era o produto, mas a forma como ele estava sendo oferecido. Afinal, muitas das pessoas ali estavam há horas esperando e perto do horário do almoço – o amendoim poderia ser um ótimo tira-gosto. No entanto, como a comunicação do vendedor vinha carregada de desespero, ele afastava os clientes ao invés de atraí-los. Esse vídeo me tocou profundamente.

No dia seguinte, ao sair para comemorar meu aniversário, vi um menino vendendo balas na rua, sob o sol forte. Assim como no caso do amendoim, percebi que as pessoas ao redor não se interessavam por seu produto. Ao se aproximar do carro, resolvi comprar dois pacotes. Mais do que ajudar, queria que aquele pequeno gesto servisse como incentivo para que ele continuasse acreditando no seu negócio.

Essa experiência me fez refletir ainda mais sobre o poder da comunicação em vendas. Muitas vezes, não é o produto que está errado, mas sim a forma como o vendedor o apresenta. Quando transmitimos confiança e mostramos o valor do que vendemos, despertamos o interesse genuíno dos clientes.

Como a Linguagem Impacta as Vendas?

1. O Poder da Abordagem Positiva

Em vez de pedir por ajuda, é importante destacar os benefícios do produto. No caso do amendoim, o vendedor poderia ter dito algo como: "Que tal um petisco delicioso enquanto espera? Um amendoim fresquinho para matar a fome até o almoço!"

2. A Emoção na Medida Certa

Expressar emoção é essencial, mas sem parecer desesperado. Os clientes devem sentir que estão adquirindo algo de valor, não apenas ajudando o vendedor.

3. Conheça Seu Público

Entender o contexto é fundamental. Se as pessoas estavam com fome e impacientes, uma abordagem mais objetiva e focada no benefício do produto poderia gerar mais vendas.

4. Autoconfiança e Postura

Falar com firmeza e segurança transmite credibilidade. O vendedor precisa acreditar no próprio produto antes de convencer o cliente a comprá-lo.

Conclusão

Vender é mais do que apenas oferecer um produto – é uma arte que envolve comunicação, percepção e estratégia. Pequenos ajustes na abordagem podem transformar completamente os resultados. Se o vendedor de amendoim tivesse apresentado seu produto de outra maneira, talvez tivesse vendido tudo rapidamente. Da mesma forma, se cada um de nós aprender a se comunicar melhor em nossas próprias áreas, poderemos alcançar muito mais sucesso.

E você? Já passou por uma experiência parecida?

@ c69b71dc:426ba763

Time Change: A Mini Jet Lag

The time change is more than just setting the clock forward or backward — it can disrupt our internal balance and lead to a range of health issues. Find out why the time change causes a mini jet lag and how you can deal with it.

Why the Time Change Throws Us Off Balance

The expected energy savings due to reduced artificial lighting demand have not been confirmed. Worse yet, the time change leads to an increase in workplace and traffic accidents, a higher risk of heart attacks, and even an increase in suicide rates. Many people struggle with the one-hour shift that happens twice a year. There is constant debate about whether to abolish it and which time should remain permanent...

Permanent Summer Time or Permanent Winter Time?

The time change triggers a mini jet lag that can last from a single day up to three weeks as the body adjusts its internal clock to the new rhythm.

Winter Time Aligns Best with Our Internal Clock

Our bodies follow the circadian rhythm, an internal clock designed for activity during daylight and rest when the sun sets.
Permanent summer time would mean longer darkness in the morning and extended daylight in the evening—this unnatural shift would completely disrupt our biological processes.

The Impact of Time Change on Our Health

Our internal clock regulates essential functions such as body temperature, hormone production, the cardiovascular system, and the sleep-wake cycle. This is why the time change often leads to headaches, fatigue, drowsiness, metabolic disorders, and even severe heart rhythm disturbances. Studies show that these disruptions can increase susceptibility to illnesses and psychological disorders.

Since the light-dark cycle dictates this internal clock, prolonged exposure to artificial light after sunset can shift it. When the time suddenly changes, it causes a disruption, throwing off our natural sleep rhythm.

Sleep Resets the Body!

During the night, the body regenerates:
- The brain is flushed with cerebrospinal fluid to clear out toxins.
- The body undergoes repair, detoxification, and waste removal.
- If the alarm clock rings an hour earlier, the body is still in "night mode" and unable to complete its recovery processes!

Most people already suffer from sleep disorders, whether trouble falling asleep or staying asleep. Added to this is the stress of daily life, which often depletes serotonin levels, reducing the body’s ability to produce melatonin —the sleep hormone. Blue light depletes magnesium in our body, disrupts the circadian rhythm, and interferes with melatonin production! We also know that the pineal gland’s melatonin production is impaired by fluoride found in toothpaste, water, and food!

What Can You Do About Sleep Disorders?

To regulate your sleep rhythm, you need healthy sleep hygiene:
- Minimize activity before bedtime.
- Avoid artificial light from TVs, smartphones, and e-readers.
- Ensure fresh air and a cool bedroom (around 18°C/64°F).
- Stick to consistent sleep and wake times — even on weekends!
- Reserve the bed and bedroom for sleep only — no heated discussions. - No heavy meals before bed.
- Use blue light or orange filter glasses to reduce artificial light exposure. - Air out the bedroom for 20 minutes before going to bed. - Use candlelight in the bathroom while brushing your teeth instead of turning on the harsh neon light.

If these adjustments don’t help, natural remedies, supplements, and herbal teas can provide support.

Natural Sleep Aids

Some well-known natural remedies include:
- Melatonin, Tryptophan, GABA, Magnesium
- Herbs such as Hops, Lavender, Chamomile, Passionflower, Valerian and organge peal and flower.

By aligning with nature’s rhythm and optimizing sleep habits, we can counteract the negative effects of the time change and restore balance to our bodies and minds.

I hope this helps you transition smoothly through this outrageous act of forcing us into "summer time" ⏰🌞

@ 4925ea33:025410d8

1. O que é um Aromaterapeuta?

O aromaterapeuta é um profissional especializado na prática da Aromaterapia, responsável pelo uso adequado de óleos essenciais, ervas aromáticas, águas florais e destilados herbais para fins terapêuticos.

A atuação desse profissional envolve diferentes métodos de aplicação, como inalação, uso tópico, sempre considerando a segurança e a necessidade individual do cliente. A Aromaterapia pode auxiliar na redução do estresse, alívio de dores crônicas, relaxamento muscular e melhora da respiração, entre outros benefícios.

Além disso, os aromaterapeutas podem trabalhar em conjunto com outros profissionais da saúde para oferecer um tratamento complementar em diversas condições. Como já mencionado no artigo sobre "Como evitar processos alérgicos na prática da Aromaterapia", é essencial ter acompanhamento profissional, pois os óleos essenciais são altamente concentrados e podem causar reações adversas se utilizados de forma inadequada.

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2. Como um Aromaterapeuta Pode Ajudar?

Você pode procurar um aromaterapeuta para diferentes necessidades, como:

✔ Questões Emocionais e Psicológicas

Auxílio em momentos de luto, divórcio, demissão ou outras situações desafiadoras.

Apoio na redução do estresse, ansiedade e insônia.

Vale lembrar que, em casos de transtornos psiquiátricos, a Aromaterapia deve ser usada como terapia complementar, associada ao tratamento médico.

✔ Questões Físicas

Dores musculares e articulares.

Problemas respiratórios como rinite, sinusite e tosse.

Distúrbios digestivos leves.

Dores de cabeça e enxaquecas. Nesses casos, a Aromaterapia pode ser um suporte, mas não substitui a medicina tradicional para identificar a origem dos sintomas.

✔ Saúde da Pele e Cabelos

Tratamento para acne, dermatites e psoríase.

Cuidados com o envelhecimento precoce da pele.

Redução da queda de cabelo e controle da oleosidade do couro cabeludo.

✔ Bem-estar e Qualidade de Vida

Melhora da concentração e foco, aumentando a produtividade.

Estímulo da disposição e energia.

Auxílio no equilíbrio hormonal (TPM, menopausa, desequilíbrios hormonais).

Com base nessas necessidades, o aromaterapeuta irá indicar o melhor tratamento, calculando doses, sinergias (combinação de óleos essenciais), diluições e técnicas de aplicação, como inalação, uso tópico ou difusão.

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3. Como Funciona uma Consulta com um Aromaterapeuta?

Uma consulta com um aromaterapeuta é um atendimento personalizado, onde são avaliadas as necessidades do cliente para a criação de um protocolo adequado. O processo geralmente segue estas etapas:

✔ Anamnese (Entrevista Inicial)

Perguntas sobre saúde física, emocional e estilo de vida.

Levantamento de sintomas, histórico médico e possíveis alergias.

Definição dos objetivos da terapia (alívio do estresse, melhora do sono, dores musculares etc.).

✔ Escolha dos Óleos Essenciais

Seleção dos óleos mais indicados para o caso.

Consideração das propriedades terapêuticas, contraindicações e combinações seguras.

✔ Definição do Método de Uso

O profissional indicará a melhor forma de aplicação, que pode ser:

Inalação: difusores, colares aromáticos, vaporização.

Uso tópico: massagens, óleos corporais, compressas.

Banhos aromáticos e escalda-pés. Todas as diluições serão ajustadas de acordo com a segurança e a necessidade individual do cliente.

✔ Plano de Acompanhamento

Instruções detalhadas sobre o uso correto dos óleos essenciais.

Orientação sobre frequência e duração do tratamento.

Possibilidade de retorno para ajustes no protocolo.

A consulta pode ser realizada presencialmente ou online, dependendo do profissional.

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Quer saber como a Aromaterapia pode te ajudar? Agende uma consulta comigo e descubra os benefícios dos óleos essenciais para o seu bem-estar!

@ e3ba5e1a:5e433365

My blog posts and reading material have both been on a decidedly economics-heavy slant recently. The topic today, incentives, squarely falls into the category of economics. However, when I say economics, I’m not talking about “analyzing supply and demand curves.” I’m talking about the true basis of economics: understanding how human beings make decisions in a world of scarcity.

A fair definition of incentive is “a reward or punishment that motivates behavior to achieve a desired outcome.” When most people think about economic incentives, they’re thinking of money. If I offer my son $5 if he washes the dishes, I’m incentivizing certain behavior. We can’t guarantee that he’ll do what I want him to do, but we can agree that the incentive structure itself will guide and ultimately determine what outcome will occur.

The great thing about monetary incentives is how easy they are to talk about and compare. “Would I rather make $5 washing the dishes or $10 cleaning the gutters?” But much of the world is incentivized in non-monetary ways too. For example, using the “punishment” half of the definition above, I might threaten my son with losing Nintendo Switch access if he doesn’t wash the dishes. No money is involved, but I’m still incentivizing behavior.

And there are plenty of incentives beyond our direct control! My son is also incentivized to not wash dishes because it’s boring, or because he has some friends over that he wants to hang out with, or dozens of other things. Ultimately, the conflicting array of different incentive structures placed on him will ultimately determine what actions he chooses to take.

Why incentives matter

A phrase I see often in discussions—whether they are political, parenting, economic, or business—is “if they could just do…” Each time I see that phrase, I cringe a bit internally. Usually, the underlying assumption of the statement is “if people would behave contrary to their incentivized behavior then things would be better.” For example:

• If my kids would just go to bed when I tell them, they wouldn’t be so cranky in the morning.
• If people would just use the recycling bin, we wouldn’t have such a landfill problem.
• If people would just stop being lazy, our team would deliver our project on time.

In all these cases, the speakers are seemingly flummoxed as to why the people in question don’t behave more rationally. The problem is: each group is behaving perfectly rationally.

• The kids have a high time preference, and care more about the joy of staying up now than the crankiness in the morning. Plus, they don’t really suffer the consequences of morning crankiness, their parents do.
• No individual suffers much from their individual contribution to a landfill. If they stopped growing the size of the landfill, it would make an insignificant difference versus the amount of effort they need to engage in to properly recycle.
• If a team doesn’t properly account for the productivity of individuals on a project, each individual receives less harm from their own inaction. Sure, the project may be delayed, company revenue may be down, and they may even risk losing their job when the company goes out of business. But their laziness individually won’t determine the entirety of that outcome. By contrast, they greatly benefit from being lazy by getting to relax at work, go on social media, read a book, or do whatever else they do when they’re supposed to be working.

My point here is that, as long as you ignore the reality of how incentives drive human behavior, you’ll fail at getting the outcomes you want.

If everything I wrote up until now made perfect sense, you understand the premise of this blog post. The rest of it will focus on a bunch of real-world examples to hammer home the point, and demonstrate how versatile this mental model is.

Running a company

Let’s say I run my own company, with myself as the only employee. My personal revenue will be 100% determined by my own actions. If I decide to take Tuesday afternoon off and go fishing, I’ve chosen to lose that afternoon’s revenue. Implicitly, I’ve decided that the enjoyment I get from an afternoon of fishing is greater than the potential revenue. You may think I’m being lazy, but it’s my decision to make. In this situation, the incentive–money–is perfectly aligned with my actions.

Compare this to a typical company/employee relationship. I might have a bank of Paid Time Off (PTO) days, in which case once again my incentives are relatively aligned. I know that I can take off 15 days throughout the year, and I’ve chosen to use half a day for the fishing trip. All is still good.

What about unlimited time off? Suddenly incentives are starting to misalign. I don’t directly pay a price for not showing up to work on Tuesday. Or Wednesday as well, for that matter. I might ultimately be fired for not doing my job, but that will take longer to work its way through the system than simply not making any money for the day taken off.

Compensation overall falls into this misaligned incentive structure. Let’s forget about taking time off. Instead, I work full time on a software project I’m assigned. But instead of using the normal toolchain we’re all used to at work, I play around with a new programming language. I get the fun and joy of playing with new technology, and potentially get to pad my resume a bit when I’m ready to look for a new job. But my current company gets slower results, less productivity, and is forced to subsidize my extracurricular learning.

When a CEO has a bonus structure based on profitability, he’ll do everything he can to make the company profitable. This might include things that actually benefit the company, like improving product quality, reducing internal red tape, or finding cheaper vendors. But it might also include destructive practices, like slashing the R\&D budget to show massive profits this year, in exchange for a catastrophe next year when the next version of the product fails to ship.

Or my favorite example. My parents owned a business when I was growing up. They had a back office where they ran operations like accounting. All of the furniture was old couches from our house. After all, any money they spent on furniture came right out of their paychecks! But in a large corporate environment, each department is generally given a budget for office furniture, a budget which doesn’t roll over year-to-year. The result? Executives make sure to spend the entire budget each year, often buying furniture far more expensive than they would choose if it was their own money.

There are plenty of details you can quibble with above. It’s in a company’s best interest to give people downtime so that they can come back recharged. Having good ergonomic furniture can in fact increase productivity in excess of the money spent on it. But overall, the picture is pretty clear: in large corporate structures, you’re guaranteed to have mismatches between the company’s goals and the incentive structure placed on individuals.

Using our model from above, we can lament how lazy, greedy, and unethical the employees are for doing what they’re incentivized to do instead of what’s right. But that’s simply ignoring the reality of human nature.

Moral hazard

Moral hazard is a situation where one party is incentivized to take on more risk because another party will bear the consequences. Suppose I tell my son when he turns 21 (or whatever legal gambling age is) that I’ll cover all his losses for a day at the casino, but he gets to keep all the winnings.

What do you think he’s going to do? The most logical course of action is to place the largest possible bets for as long as possible, asking me to cover each time he loses, and taking money off the table and into his bank account each time he wins.

But let’s look at a slightly more nuanced example. I go to a bathroom in the mall. As I’m leaving, I wash my hands. It will take me an extra 1 second to turn off the water when I’m done washing. That’s a trivial price to pay. If I don’t turn off the water, the mall will have to pay for many liters of wasted water, benefiting no one. But I won’t suffer any consequences at all.

This is also a moral hazard, but most people will still turn off the water. Why? Usually due to some combination of other reasons such as:

1. We’re so habituated to turning off the water that we don’t even consider not turning it off. Put differently, the mental effort needed to not turn off the water is more expensive than the 1 second of time to turn it off.
2. Many of us have been brought up with a deep guilt about wasting resources like water. We have an internal incentive structure that makes the 1 second to turn off the water much less costly than the mental anguish of the waste we created.
3. We’re afraid we’ll be caught by someone else and face some kind of social repercussions. (Or maybe more than social. Are you sure there isn’t a law against leaving the water tap on?)

Even with all that in place, you may notice that many public bathrooms use automatic water dispensers. Sure, there’s a sanitation reason for that, but it’s also to avoid this moral hazard.

A common denominator in both of these is that the person taking the action that causes the liability (either the gambling or leaving the water on) is not the person who bears the responsibility for that liability (the father or the mall owner). Generally speaking, the closer together the person making the decision and the person incurring the liability are, the smaller the moral hazard.

It’s easy to demonstrate that by extending the casino example a bit. I said it was the father who was covering the losses of the gambler. Many children (though not all) would want to avoid totally bankrupting their parents, or at least financially hurting them. Instead, imagine that someone from the IRS shows up at your door, hands you a credit card, and tells you you can use it at a casino all day, taking home all the chips you want. The money is coming from the government. How many people would put any restriction on how much they spend?

And since we’re talking about the government already…

Government moral hazards

As I was preparing to write this blog post, the California wildfires hit. The discussions around those wildfires gave a huge number of examples of moral hazards. I decided to cherry-pick a few for this post.

The first and most obvious one: California is asking for disaster relief funds from the federal government. That sounds wonderful. These fires were a natural disaster, so why shouldn’t the federal government pitch in and help take care of people?

The problem is, once again, a moral hazard. In the case of the wildfires, California and Los Angeles both had ample actions they could have taken to mitigate the destruction of this fire: better forest management, larger fire department, keeping the water reservoirs filled, and probably much more that hasn’t come to light yet.

If the federal government bails out California, it will be a clear message for the future: your mistakes will be fixed by others. You know what kind of behavior that incentivizes? More risky behavior! Why spend state funds on forest management and extra firefighters—activities that don’t win politicians a lot of votes in general—when you could instead spend it on a football stadium, higher unemployment payments, or anything else, and then let the feds cover the cost of screw-ups.

You may notice that this is virtually identical to the 2008 “too big to fail” bail-outs. Wall Street took insanely risky behavior, reaped huge profits for years, and when they eventually got caught with their pants down, the rest of us bailed them out. “Privatizing profits, socializing losses.”

And here’s the absolute best part of this: I can’t even truly blame either California or Wall Street. (I mean, I do blame them, I think their behavior is reprehensible, but you’ll see what I mean.) In a world where the rules of the game implicitly include the bail-out mentality, you would be harming your citizens/shareholders/investors if you didn’t engage in that risky behavior. Since everyone is on the hook for those socialized losses, your best bet is to maximize those privatized profits.

There’s a lot more to government and moral hazard, but I think these two cases demonstrate the crux pretty solidly. But let’s leave moral hazard behind for a bit and get to general incentivization discussions.

Non-monetary competition

At least 50% of the economics knowledge I have comes from the very first econ course I took in college. That professor was amazing, and had some very colorful stories. I can’t vouch for the veracity of the two I’m about to share, but they definitely drive the point home.

In the 1970s, the US had an oil shortage. To “fix” this problem, they instituted price caps on gasoline, which of course resulted in insufficient gasoline. To “fix” this problem, they instituted policies where, depending on your license plate number, you could only fill up gas on certain days of the week. (Irrelevant detail for our point here, but this just resulted in people filling up their tanks more often, no reduction in gas usage.)

Anyway, my professor’s wife had a friend. My professor described in great detail how attractive this woman was. I’ll skip those details here since this is a PG-rated blog. In any event, she never had any trouble filling up her gas tank any day of the week. She would drive up, be told she couldn’t fill up gas today, bat her eyes at the attendant, explain how helpless she was, and was always allowed to fill up gas.

This is a demonstration of non-monetary compensation. Most of the time in a free market, capitalist economy, people are compensated through money. When price caps come into play, there’s a limit to how much monetary compensation someone can receive. And in that case, people find other ways of competing. Like this woman’s case: through using flirtatious behavior to compensate the gas station workers to let her cheat the rules.

The other example was much more insidious. Santa Monica had a problem: it was predominantly wealthy and white. They wanted to fix this problem, and decided to put in place rent controls. After some time, they discovered that Santa Monica had become wealthier and whiter, the exact opposite of their desired outcome. Why would that happen?

Someone investigated, and ended up interviewing a landlady that demonstrated the reason. She was an older white woman, and admittedly racist. Prior to the rent controls, she would list her apartments in the newspaper, and would be legally obligated to rent to anyone who could afford it. Once rent controls were in place, she took a different tact. She knew that she would only get a certain amount for the apartment, and that the demand for apartments was higher than the supply. That meant she could be picky.

She ended up finding tenants through friends-of-friends. Since it wasn’t an official advertisement, she wasn’t legally required to rent it out if someone could afford to pay. Instead, she got to interview people individually and then make them an offer. Normally, that would have resulted in receiving a lower rental price, but not under rent controls.

So who did she choose? A young, unmarried, wealthy, white woman. It made perfect sense. Women were less intimidating and more likely to maintain the apartment better. Wealthy people, she determined, would be better tenants. (I have no idea if this is true in practice or not, I’m not a landlord myself.) Unmarried, because no kids running around meant less damage to the property. And, of course, white. Because she was racist, and her incentive structure made her prefer whites.

You can deride her for being racist, I won’t disagree with you. But it’s simply the reality. Under the non-rent-control scenario, her profit motive for money outweighed her racism motive. But under rent control, the monetary competition was removed, and she was free to play into her racist tendencies without facing any negative consequences.

Bureaucracy

These were the two examples I remember for that course. But non-monetary compensation pops up in many more places. One highly pertinent example is bureaucracies. Imagine you have a government office, or a large corporation’s acquisition department, or the team that apportions grants at a university. In all these cases, you have a group of people making decisions about handing out money that has no monetary impact on them. If they give to the best qualified recipients, they receive no raises. If they spend the money recklessly on frivolous projects, they face no consequences.

Under such an incentivization scheme, there’s little to encourage the bureaucrats to make intelligent funding decisions. Instead, they’ll be incentivized to spend the money where they recognize non-monetary benefits. This is why it’s so common to hear about expensive meals, gift bags at conferences, and even more inappropriate ways of trying to curry favor with those that hold the purse strings.

Compare that ever so briefly with the purchases made by a small mom-and-pop store like my parents owned. Could my dad take a bribe to buy from a vendor who’s ripping him off? Absolutely he could! But he’d lose more on the deal than he’d make on the bribe, since he’s directly incentivized by the deal itself. It would make much more sense for him to go with the better vendor, save $5,000 on the deal, and then treat himself to a lavish $400 meal to celebrate.

Government incentivized behavior

This post is getting longer in the tooth than I’d intended, so I’ll finish off with this section and make it a bit briefer. Beyond all the methods mentioned above, government has another mechanism for modifying behavior: through directly changing incentives via legislation, regulation, and monetary policy. Let’s see some examples:

• Artificial modification of interest rates encourages people to take on more debt than they would in a free capital market, leading to malinvestment and a consumer debt crisis, and causing the boom-bust cycle we all painfully experience.
• Going along with that, giving tax breaks on interest payments further artificially incentivizes people to take on debt that they wouldn’t otherwise.
• During COVID-19, at some points unemployment benefits were greater than minimum wage, incentivizing people to rather stay home and not work than get a job, leading to reduced overall productivity in the economy and more printed dollars for benefits. In other words, it was a perfect recipe for inflation.
• The tax code gives deductions to “help” people. That might be true, but the real impact is incentivizing people to make decisions they wouldn’t have otherwise. For example, giving out tax deductions on children encourages having more kids. Tax deductions on childcare and preschools incentivizes dual-income households. Whether or not you like the outcomes, it’s clear that it’s government that’s encouraging these outcomes to happen.
• Tax incentives cause people to engage in behavior they wouldn’t otherwise (daycare+working mother, for example).
• Inflation means that the value of your money goes down over time, which encourages people to spend more today, when their money has a larger impact. (Milton Friedman described this as high living.)

Conclusion

The idea here is simple, and fully encapsulated in the title: incentives determine outcomes. If you want to know how to get a certain outcome from others, incentivize them to want that to happen. If you want to understand why people act in seemingly irrational ways, check their incentives. If you’re confused why leaders (and especially politicians) seem to engage in destructive behavior, check their incentives.

We can bemoan these realities all we want, but they are realities. While there are some people who have a solid internal moral and ethical code, and that internal code incentivizes them to behave against their externally-incentivized interests, those people are rare. And frankly, those people are self-defeating. People should take advantage of the incentives around them. Because if they don’t, someone else will.

(If you want a literary example of that last comment, see the horse in Animal Farm.)

How do we improve the world under these conditions? Make sure the incentives align well with the overall goals of society. To me, it’s a simple formula:

• Focus on free trade, value for value, as the basis of a society. In that system, people are always incentivized to provide value to other people.
• Reduce the size of bureaucracies and large groups of all kinds. The larger an organization becomes, the farther the consequences of decisions are from those who make them.
• And since the nature of human beings will be to try and create areas where they can control the incentive systems to their own benefits, make that as difficult as possible. That comes in the form of strict limits on government power, for example.

And even if you don’t want to buy in to this conclusion, I hope the rest of the content was educational, and maybe a bit entertaining!

@ 04c915da:3dfbecc9

There is something quietly rebellious about stacking sats. In a world obsessed with instant gratification, choosing to patiently accumulate Bitcoin, one sat at a time, feels like a middle finger to the hype machine. But to do it right, you have got to stay humble. Stack too hard with your head in the clouds, and you will trip over your own ego before the next halving even hits.

Small Wins

Stacking sats is not glamorous. Discipline. Stacking every day, week, or month, no matter the price, and letting time do the heavy lifting. Humility lives in that consistency. You are not trying to outsmart the market or prove you are the next "crypto" prophet. Just a regular person, betting on a system you believe in, one humble stack at a time. Folks get rekt chasing the highs. They ape into some shitcoin pump, shout about it online, then go silent when they inevitably get rekt. The ones who last? They stack. Just keep showing up. Consistency. Humility in action. Know the game is long, and you are not bigger than it.

Ego is Volatile

Bitcoin’s swings can mess with your head. One day you are up 20%, feeling like a genius and the next down 30%, questioning everything. Ego will have you panic selling at the bottom or over leveraging the top. Staying humble means patience, a true bitcoin zen. Do not try to "beat” Bitcoin. Ride it. Stack what you can afford, live your life, and let compounding work its magic.

Simplicity

There is a beauty in how stacking sats forces you to rethink value. A sat is worth less than a penny today, but every time you grab a few thousand, you plant a seed. It is not about flaunting wealth but rather building it, quietly, without fanfare. That mindset spills over. Cut out the noise: the overpriced coffee, fancy watches, the status games that drain your wallet. Humility is good for your soul and your stack. I have a buddy who has been stacking since 2015. Never talks about it unless you ask. Lives in a decent place, drives an old truck, and just keeps stacking. He is not chasing clout, he is chasing freedom. That is the vibe: less ego, more sats, all grounded in life.

The Big Picture

Stack those sats. Do it quietly, do it consistently, and do not let the green days puff you up or the red days break you down. Humility is the secret sauce, it keeps you grounded while the world spins wild. In a decade, when you look back and smile, it will not be because you shouted the loudest. It will be because you stayed the course, one sat at a time. \ \ Stay Humble and Stack Sats. 🫡

@ 0d97beae:c5274a14

This article hopes to complement the article by Lyn Alden on YouTube: https://www.youtube.com/watch?v=jk_HWmmwiAs

The reason why we have broken money

Before the invention of key technologies such as the printing press and electronic communications, even such as those as early as morse code transmitters, gold had won the competition for best medium of money around the world.

In fact, it was not just gold by itself that became money, rulers and world leaders developed coins in order to help the economy grow. Gold nuggets were not as easy to transact with as coins with specific imprints and denominated sizes.

However, these modern technologies created massive efficiencies that allowed us to communicate and perform services more efficiently and much faster, yet the medium of money could not benefit from these advancements. Gold was heavy, slow and expensive to move globally, even though requesting and performing services globally did not have this limitation anymore.

Banks took initiative and created derivatives of gold: paper and electronic money; these new currencies allowed the economy to continue to grow and evolve, but it was not without its dark side. Today, no currency is denominated in gold at all, money is backed by nothing and its inherent value, the paper it is printed on, is worthless too.

Banks and governments eventually transitioned from a money derivative to a system of debt that could be co-opted and controlled for political and personal reasons. Our money today is broken and is the cause of more expensive, poorer quality goods in the economy, a larger and ever growing wealth gap, and many of the follow-on problems that have come with it.

Bitcoin overcomes the "transfer of hard money" problem

Just like gold coins were created by man, Bitcoin too is a technology created by man. Bitcoin, however is a much more profound invention, possibly more of a discovery than an invention in fact. Bitcoin has proven to be unbreakable, incorruptible and has upheld its ability to keep its units scarce, inalienable and counterfeit proof through the nature of its own design.

Since Bitcoin is a digital technology, it can be transferred across international borders almost as quickly as information itself. It therefore severely reduces the need for a derivative to be used to represent money to facilitate digital trade. This means that as the currency we use today continues to fare poorly for many people, bitcoin will continue to stand out as hard money, that just so happens to work as well, functionally, along side it.

Bitcoin will also always be available to anyone who wishes to earn it directly; even China is unable to restrict its citizens from accessing it. The dollar has traditionally become the currency for people who discover that their local currency is unsustainable. Even when the dollar has become illegal to use, it is simply used privately and unofficially. However, because bitcoin does not require you to trade it at a bank in order to use it across borders and across the web, Bitcoin will continue to be a viable escape hatch until we one day hit some critical mass where the world has simply adopted Bitcoin globally and everyone else must adopt it to survive.

Bitcoin has not yet proven that it can support the world at scale. However it can only be tested through real adoption, and just as gold coins were developed to help gold scale, tools will be developed to help overcome problems as they arise; ideally without the need for another derivative, but if necessary, hopefully with one that is more neutral and less corruptible than the derivatives used to represent gold.

Bitcoin blurs the line between commodity and technology

Bitcoin is a technology, it is a tool that requires human involvement to function, however it surprisingly does not allow for any concentration of power. Anyone can help to facilitate Bitcoin's operations, but no one can take control of its behaviour, its reach, or its prioritisation, as it operates autonomously based on a pre-determined, neutral set of rules.

At the same time, its built-in incentive mechanism ensures that people do not have to operate bitcoin out of the good of their heart. Even though the system cannot be co-opted holistically, It will not stop operating while there are people motivated to trade their time and resources to keep it running and earn from others' transaction fees. Although it requires humans to operate it, it remains both neutral and sustainable.

Never before have we developed or discovered a technology that could not be co-opted and used by one person or faction against another. Due to this nature, Bitcoin's units are often described as a commodity; they cannot be usurped or virtually cloned, and they cannot be affected by political biases.

The dangers of derivatives

A derivative is something created, designed or developed to represent another thing in order to solve a particular complication or problem. For example, paper and electronic money was once a derivative of gold.

In the case of Bitcoin, if you cannot link your units of bitcoin to an "address" that you personally hold a cryptographically secure key to, then you very likely have a derivative of bitcoin, not bitcoin itself. If you buy bitcoin on an online exchange and do not withdraw the bitcoin to a wallet that you control, then you legally own an electronic derivative of bitcoin.

Bitcoin is a new technology. It will have a learning curve and it will take time for humanity to learn how to comprehend, authenticate and take control of bitcoin collectively. Having said that, many people all over the world are already using and relying on Bitcoin natively. For many, it will require for people to find the need or a desire for a neutral money like bitcoin, and to have been burned by derivatives of it, before they start to understand the difference between the two. Eventually, it will become an essential part of what we regard as common sense.

Learn for yourself

If you wish to learn more about how to handle bitcoin and avoid derivatives, you can start by searching online for tutorials about "Bitcoin self custody".

There are many options available, some more practical for you, and some more practical for others. Don't spend too much time trying to find the perfect solution; practice and learn. You may make mistakes along the way, so be careful not to experiment with large amounts of your bitcoin as you explore new ideas and technologies along the way. This is similar to learning anything, like riding a bicycle; you are sure to fall a few times, scuff the frame, so don't buy a high performance racing bike while you're still learning to balance.

@ 0463223a:3b14d673

Whilst starting out documenting coming off prescription drugs and an attempt at self improvement. I now understand that I want to write a weekly blog to clarify my thoughts and provide a means for self introspection and self improvement. It’s pretty narcissistic to be honest but I’m fine with that. I’m trying to be honest in my approach and it is what it is.

Some folks will write about economics, others culture war hot topics or how they stick raw egg up their arse for profit type diet advice. It’s unlikely I’ll approach any of those topics, there’s a lot of noise already and I don’t want to add to the pile.

Each week I will write a page of A4 and hope over time the writing style will improve. It’s coming from an extremely low base so I’m most optimistic about the upside potential!

I’ve been pretty hard on myself in the last week, folks who interact with me here may have noticed, my wife certainly has and it’s true. I’ve been an emotional wreck. For over a decade my brain chemistry was altered by drugs and my brain is not a comfortable place. Staying on the drugs was easy but it’s not the answer.

I notice it’s quite common for folks to say you should never speak ill of yourself here, words have power. On one level I agree, no one should beat themselves unnecessarily but I think it’s just as important to be self aware, understand where you have biases, where you have strengths and weaknesses. If you’re never hard on yourself, how do you improve? Only by facing problems face on is what I’m thinking.

I broke down in tears on a live stream last week, pretty embarrassing. The day before I’d seen footage of a gig I’d done in 2013 (I think), a gig that helped pave the way for some of the cool projects I’ve been involved with over the last decade. It was nothing fancy, just a night in a local pub. What truly broke my heart was seeing my late friend on drums. He committed suicide not long after that gig.

I was on such a high at that time. We had begun working with world class musicians, acts people had actually heard of, not Pop but credible artists. Our own band had just got its first national radio play and we’d been offered a deal to make an album with a reasonable advance. We were doing tonnes of gigs, studio sessions and having fun (at least I thought). Nothing glamorous, long sessions in low budget studios, gigs getting paid fuck all but we were DOING THINGS. We were doing what we’d always wanted to do. Make music.

So with that fresh in my memory I thought I’d try playing a record we’d made together on the stream, absolute car crash. I could barely speak. Music completely kicked my arse that day. After all this time, I’m still not over it.

Him dying like that kicked the shit out of me in ways I can’t begin to describe. I fell into a very deep depression myself after that and I was so fucking angry. I’d say more but I don’t feel comfortable talking about it, knowing whatever pain I feel, it’s nothing compared to the pain his family feel. They are very private people. I respect that.

It was around that time I started being medicated. I came very close to committing suicide myself and was talked out of driving my car off a cliff by the samaritans. Fun right!?

Aside from the music stuff, we were both working for a charity helping kids from tough backgrounds develop life skills through music. The week before his death we’d both lost a lot of hours work due to government cut backs. Cut backs that were put in place as our country was compelled to bail out a bunch of bankers. I’m STILL angry about that, but less so now.

I want to keep anything I earn as far away from the banks as is possible. Seriously, fuck them. Fuck them. Fuck them. Fortunately there is an opt out.

It’s unlikely I’ll say much more on the subject. Sure I could game Nostr by endless posting pictures of Michael Sailor but frankly, no. I have nothing in common with the guy. He gave up music because there was no money in it. Fuck him, his beats would suck anyway, he has no soul haha but hey, he’s enjoying himself and that’s good for h.

I don’t have thousands upon thousands of bitcoin but I have no money in the bank and thousands of Sats. Win!

@ 04c915da:3dfbecc9

This piece is the first in a series that will focus on things I think are a priority if your focus is similar to mine: building a strong family and safeguarding their future.

---

Choosing the ideal place to raise a family is one of the most significant decisions you will ever make. For simplicity sake I will break down my thought process into key factors: strong property rights, the ability to grow your own food, access to fresh water, the freedom to own and train with guns, and a dependable community.

A Jurisdiction with Strong Property Rights

Strong property rights are essential and allow you to build on a solid foundation that is less likely to break underneath you. Regions with a history of limited government and clear legal protections for landowners are ideal. Personally I think the US is the single best option globally, but within the US there is a wide difference between which state you choose. Choose carefully and thoughtfully, think long term. Obviously if you are not American this is not a realistic option for you, there are other solid options available especially if your family has mobility. I understand many do not have this capability to easily move, consider that your first priority, making movement and jurisdiction choice possible in the first place.

Abundant Access to Fresh Water

Water is life. I cannot overstate the importance of living somewhere with reliable, clean, and abundant freshwater. Some regions face water scarcity or heavy regulations on usage, so prioritizing a place where water is plentiful and your rights to it are protected is critical. Ideally you should have well access so you are not tied to municipal water supplies. In times of crisis or chaos well water cannot be easily shutoff or disrupted. If you live in an area that is drought prone, you are one drought away from societal chaos. Not enough people appreciate this simple fact.

Grow Your Own Food

A location with fertile soil, a favorable climate, and enough space for a small homestead or at the very least a garden is key. In stable times, a small homestead provides good food and important education for your family. In times of chaos your family being able to grow and raise healthy food provides a level of self sufficiency that many others will lack. Look for areas with minimal restrictions, good weather, and a culture that supports local farming.

Guns

The ability to defend your family is fundamental. A location where you can legally and easily own guns is a must. Look for places with a strong gun culture and a political history of protecting those rights. Owning one or two guns is not enough and without proper training they will be a liability rather than a benefit. Get comfortable and proficient. Never stop improving your skills. If the time comes that you must use a gun to defend your family, the skills must be instinct. Practice. Practice. Practice.

A Strong Community You Can Depend On

No one thrives alone. A ride or die community that rallies together in tough times is invaluable. Seek out a place where people know their neighbors, share similar values, and are quick to lend a hand. Lead by example and become a good neighbor, people will naturally respond in kind. Small towns are ideal, if possible, but living outside of a major city can be a solid balance in terms of work opportunities and family security.

---

Let me know if you found this helpful. My plan is to break down how I think about these five key subjects in future posts.

@ 09fbf8f3:fa3d60f0

快速轻松地删除任何图像的元数据。在网上共享照片、视频和文档之前，可以先从照片、视频和文档中删除元数据，来保护自己的隐私。

链接： 网站地址 | 项目地址

---

推广链接： 低调云（VPN）： https://didiaocloud.xyz

@ 37fe9853:bcd1b039

yoyoaa

@ b2d670de:907f9d4a

onion-service-nostr-relays

A list of nostr relays exposed as onion services.

The list

| Relay name | Description | Onion url | Operator | Payment URL | Payment options | | --- | --- | --- | --- | --- | --- | | nostr.oxtr.dev | Same relay as clearnet relay nostr.oxtr.dev | ws://oxtrdevav64z64yb7x6rjg4ntzqjhedm5b5zjqulugknhzr46ny2qbad.onion | operator | N/A | N/A | | relay.snort.social | Same relay as clearnet relay relay.snort.social | wss://skzzn6cimfdv5e2phjc4yr5v7ikbxtn5f7dkwn5c7v47tduzlbosqmqd.onion | operator | N/A | N/A | | nostr.thesamecat.io | Same relay as clearnet relay nostr.thesamecat.io | ws://2jsnlhfnelig5acq6iacydmzdbdmg7xwunm4xl6qwbvzacw4lwrjmlyd.onion | operator | N/A | N/A | | nostr.land | The nostr.land paid relay (same as clearnet) | ws://nostrland2gdw7g3y77ctftovvil76vquipymo7tsctlxpiwknevzfid.onion | operator | Payment URL | BTC LN | | bitcoiner.social | No auth required, currently | ws://bitcoinr6de5lkvx4tpwdmzrdfdpla5sya2afwpcabjup2xpi5dulbad.onion | operator | N/A | N/A | | relay.westernbtc.com | The westernbtc.com paid relay | ws://westbtcebhgi4ilxxziefho6bqu5lqwa5ncfjefnfebbhx2cwqx5knyd.onion | operator | Payment URL | BTC LN | | freelay.sovbit.host | Free relay for sovbit.host | ws://sovbitm2enxfr5ot6qscwy5ermdffbqscy66wirkbsigvcshumyzbbqd.onion | operator | N/A | N/A | | nostr.sovbit.host | Paid relay for sovbit.host | ws://sovbitgz5uqyh7jwcsudq4sspxlj4kbnurvd3xarkkx2use3k6rlibqd.onion | operator | N/A | N/A | | nostr.wine | 🍷 nostr.wine relay | ws://nostrwinemdptvqukjttinajfeedhf46hfd5bz2aj2q5uwp7zros3nad.onion | operator | Payment URL | BTC LN, BTC, Credit Card/CashApp (Stripe) | | inbox.nostr.wine | 🍷 inbox.nostr.wine relay | ws://wineinboxkayswlofkugkjwhoyi744qvlzdxlmdvwe7cei2xxy4gc6ad.onion | operator | Payment URL | BTC LN, BTC | | filter.nostr.wine | 🍷 filter.nostr.wine proxy relay | ws://winefiltermhqixxzmnzxhrmaufpnfq3rmjcl6ei45iy4aidrngpsyid.onion | operator | Payment URL | BTC LN, BTC | | N/A | N/A | ws://pzfw4uteha62iwkzm3lycabk4pbtcr67cg5ymp5i3xwrpt3t24m6tzad.onion:81 | operator | N/A | N/A | | nostr.fractalized.net | Free relay for fractalized.net | ws://xvgox2zzo7cfxcjrd2llrkthvjs5t7efoalu34s6lmkqhvzvrms6ipyd.onion | operator | N/A | N/A | | nfrelay.app | nfrelay.app aggregator relay (nostr-filter-relay) | ws://nfrelay6saohkmipikquvrn6d64dzxivhmcdcj4d5i7wxis47xwsriyd.onion | operator | N/A | N/A | relay.nostr.net | Public relay from nostr.net (Same as clearnet) | ws://nostrnetl6yd5whkldj3vqsxyyaq3tkuspy23a3qgx7cdepb4564qgqd.onion | operator | N/A | N/A | | nerostrator | Free to read, pay XMR to relay | ws://nerostrrgb5fhj6dnzhjbgmnkpy2berdlczh6tuh2jsqrjok3j4zoxid.onion | operator |Payment URL | XMR | | nostr.girino.org | Public relay from nostr.girino.org | ws://gnostr2jnapk72mnagq3cuykfon73temzp77hcbncn4silgt77boruid.onion | operator | N/A | N/A | | wot.girino.org | WoT relay from wot.girino.org | ws://girwot2koy3kvj6fk7oseoqazp5vwbeawocb3m27jcqtah65f2fkl3yd.onion | operator | N/A | N/A | | haven.girino.org/{outbox, inbox, chat, private} | Haven smart relay from haven.girino.org | ws://ghaven2hi3qn2riitw7ymaztdpztrvmm337e2pgkacfh3rnscaoxjoad.onion/{outbox, inbox, chat, private} | operator | N/A | N/A | | relay.nostpy.lol | Free Web of Trust relay (Same as clearnet) | ws://pemgkkqjqjde7y2emc2hpxocexugbixp42o4zymznil6zfegx5nfp4id.onion | operator |N/A | N/A | | Poster.place Nostr Relay | N/A | ws://dmw5wbawyovz7fcahvguwkw4sknsqsalffwctioeoqkvvy7ygjbcuoad.onion | operator | N/A | N/A | | Azzamo Relay | Azzamo Premium Nostr relay. (paid) | ws://q6a7m5qkyonzb5fk5yv4jyu3ar44hqedn7wjopg737lit2ckkhx2nyid.onion | operator | Payment URL | BTC LN | | Azzamo Inbox Relay | Azzamo Group and Private message relay. (Freemium) | ws://gp5kiwqfw7t2fwb3rfts2aekoph4x7pj5pv65re2y6hzaujsxewanbqd.onion | operator | Payment URL | BTC LN | | Noderunners Relay | The official Noderunners Nostr Relay. | ws://35vr3xigzjv2xyzfyif6o2gksmkioppy4rmwag7d4bqmwuccs2u4jaid.onion | operator | Payment URL | BTC LN |

Contributing

Contributions are encouraged to keep this document alive. Just open a PR and I'll have it tested and merged. The onion URL is the only mandatory column, the rest is just nice-to-have metadata about the relay. Put N/A in empty columns.

If you want to contribute anonymously, please contact me on SimpleX or send a DM on nostr using a disposable npub.

Operator column

It is generally preferred to use something that includes a NIP-19 string, either just the string or a url that contains the NIP-19 string in it (e.g. an njump url).

@ 6389be64:ef439d32

GA, plebs. The latest episode of Bitcoin And is out, and, as always, the chicanery is running rampant. Let’s break down the biggest topics I covered, and if you want the full, unfiltered rant, make sure to listen to the episode linked below.

House Democrats’ MEME Act: A Bad Joke?

House Democrats are proposing a bill to ban presidential meme coins, clearly aimed at Trump’s and Melania’s ill-advised token launches. While grifters launching meme coins is bad, this bill is just as ridiculous. If this legislation moves forward, expect a retaliatory strike exposing how politicians like Pelosi and Warren mysteriously amassed their fortunes. Will it pass? Doubtful. But it’s another sign of the government’s obsession with regulating everything except itself.

Senate Banking’s First Digital Asset Hearing: The Real Target Is You

Cynthia Lummis chaired the first digital asset hearing, and—surprise!—it was all about control. The discussion centered on stablecoins, AML, and KYC regulations, with witnesses suggesting Orwellian measures like freezing stablecoin transactions unless pre-approved by authorities. What was barely mentioned? Bitcoin. They want full oversight of stablecoins, which is really about controlling financial freedom. Expect more nonsense targeting self-custody wallets under the guise of stopping “bad actors.”

Bank of America and PayPal Want In on Stablecoins

Bank of America’s CEO openly stated they’ll launch a stablecoin as soon as regulation allows. Meanwhile, PayPal’s CEO paid for a hat using Bitcoin—not their own stablecoin, Pi USD. Why wouldn’t he use his own product? Maybe he knows stablecoins aren’t what they’re hyped up to be. Either way, the legacy financial system is gearing up to flood the market with stablecoins, not because they love crypto, but because it’s a tool to extend U.S. dollar dominance.

MetaPlanet Buys the Dip

Japan’s MetaPlanet issued $13.4M in bonds to buy more Bitcoin, proving once again that institutions see the writing on the wall. Unlike U.S. regulators who obsess over stablecoins, some companies are actually stacking sats.

UK Expands Crypto Seizure Powers

Across the pond, the UK government is pushing legislation to make it easier to seize and destroy crypto linked to criminal activity. While they frame it as going after the bad guys, it’s another move toward centralized control and financial surveillance.

Bitcoin Tools & Tech: Arc, SatoChip, and Nunchuk

Some bullish Bitcoin developments: ARC v0.5 is making Bitcoin’s second layer more efficient, SatoChip now supports Taproot and Nostr, and Nunchuk launched a group wallet with chat, making multisig collaboration easier.

The Bottom Line

The state is coming for financial privacy and control, and stablecoins are their weapon of choice. Bitcoiners need to stay focused, keep their coins in self-custody, and build out parallel systems. Expect more regulatory attacks, but don’t let them distract you—just keep stacking and transacting in ways they can’t control.

🎧 Listen to the full episode here: https://fountain.fm/episode/PYITCo18AJnsEkKLz2Ks

💰 Support the show by boosting sats on Podcasting 2.0! and I will see you on the other side.

@ 62033ff8:e4471203

收录的内容中 kind=1的部分，实话说 质量不高。 所以我增加了kind=30023 长文的article，但是更新的太少，多个relays 的服务器也没有多少长文。

所有搜索nostr如果需要产生价值，需要有高质量的文章和新闻。 而且现在有很多机器人的文章充满着浪费空间的作用，其他作用都用不上。

https://www.duozhutuan.com 目前放的是给搜索引擎提供搜索的原材料。没有做UI给人类浏览。所以看上去是粗糙的。 我并没有打算去做一个发microblog的 web客户端，那类的客户端太多了。

我觉得nostr社区需要解决的还是应用。如果仅仅是microblog 感觉有点够呛

幸运的是npub.pro 建站这样的，我觉得有点意思。

yakihonne 智能widget 也有意思

我做的TaskQ5 我自己在用了。分布式的任务系统，也挺好的。

@ c1e9ab3a:9cb56b43

Introduction

Since the mid-1990s, American media has fractured into two distinct and increasingly isolated ecosystems, each with its own Overton window of acceptable discourse. Once upon a time, Americans of different political leanings shared a common set of facts, even if they interpreted them differently. Today, they don’t even agree on what the facts are—or who has the authority to define them.

This divide stems from a deeper philosophical rift in how each side determines truth and legitimacy. The institutional left derives its authority from the expert class—academics, think tanks, scientific consensus, and mainstream media. The populist right, on the other hand, finds its authority in traditional belief systems—religion, historical precedent, and what many call "common sense." As these two moral and epistemological frameworks drift further apart, the result is not just political division but the emergence of two separate cultural nations sharing the same geographic space.

The Battle of Epistemologies: Experts vs. Tradition

The left-leaning camp sees scientific consensus, peer-reviewed research, and institutional expertise as the gold standard of truth. Universities, media organizations, and policy think tanks function as arbiters of knowledge, shaping the moral and political beliefs of those who trust them. From this perspective, governance should be guided by data-driven decisions, often favoring progressive change and bureaucratic administration over democratic populism.

The right-leaning camp is skeptical of these institutions, viewing them as ideologically captured and detached from real-world concerns. Instead, they look to religion, historical wisdom, and traditional social structures as more reliable sources of truth. To them, the "expert class" is not an impartial source of knowledge but a self-reinforcing elite that justifies its own power while dismissing dissenters as uneducated or morally deficient.

This fundamental disagreement over the source of moral and factual authority means that political debates today are rarely about policy alone. They are battles over legitimacy itself. One side sees resistance to climate policies as "anti-science," while the other sees aggressive climate mandates as an elite power grab. One side views traditional gender roles as oppressive, while the other sees rapid changes in gender norms as unnatural and destabilizing. Each group believes the other is not just wrong, but dangerous.

The Consequences of Non-Overlapping Overton Windows

As these worldviews diverge, so do their respective Overton windows—the range of ideas considered acceptable for public discourse. There is little overlap left. What is considered self-evident truth in one camp is often seen as heresy or misinformation in the other. The result is:

• Epistemic Closure – Each side has its own trusted media sources, and cross-exposure is minimal. The left dismisses right-wing media as conspiracy-driven, while the right views mainstream media as corrupt propaganda. Both believe the other is being systematically misled.
• Moralization of Politics – Since truth itself is contested, policy debates become existential battles. Disagreements over issues like immigration, education, or healthcare are no longer just about governance but about moral purity versus moral corruption.
• Cultural and Political Balkanization – Without a shared understanding of reality, compromise becomes impossible. Americans increasingly consume separate news, live in ideologically homogeneous communities, and even speak different political languages.

Conclusion: Two Nations on One Land

A country can survive disagreements, but can it survive when its people no longer share a common source of truth? Historically, such deep societal fractures have led to secession, authoritarianism, or violent conflict. The United States has managed to avoid these extremes so far, but the trendline is clear: as long as each camp continues reinforcing its own epistemology while rejecting the other's as illegitimate, the divide will only grow.

The question is no longer whether America is divided—it is whether these two cultures can continue to coexist under a single political system. Can anything bridge the gap between institutional authority and traditional wisdom? Or are we witnessing the slow but inevitable unraveling of a once-unified nation into two separate moral and epistemic realities?

@ a5caac8b:172ed717

Descubre una Oportunidad Única: Nuestra Propiedad Rústica en Tulum con Potencial Inmenso

Buscamos personas interesadas en explorar una inversión sólida, sostenible y alineada con el futuro de las finanzas descentralizadas. Queremos compartir con ustedes nuestra propiedad excepcional ubicada en La Veleta, Tulum, un lugar donde la naturaleza se fusiona con el estilo de vida moderno y el ecosistema Bitcoin.

Características destacadas de esta joya rústica:

• Construcción robusta: Diseñamos esta propiedad con materiales locales como piedra y Chucum, reflejando autenticidad y resistencia.
• Fuente propia de agua: Garantiza independencia hídrica, un valor inigualable en la región.
• Vegetación abundante: Un oasis verde que conecta directamente con la esencia de Tulum.
• Ubicación estratégica: Está súper céntrica, rodeada de los sitios más hermosos de la región, perfecta tanto para residencia como para negocio.
• Documentación al día: Todo está en regla y listo para transacciones seguras.

Nuestra propuesta para la administración y finanzas

Estamos buscando colaboradores para gestionar y/o comprar esta propiedad. Ya sea mediante plataformas como Nostr, Telegram o Element (en Matrix), podemos coordinarnos de manera eficiente para cualquier aspecto relacionado con la propiedad.

Además, si están interesados en adquirirla, queremos destacar que recientemente ajustamos el precio en 170,000 USD menos tras cuatro años en el mercado. Este cambio refleja nuestro compromiso con encontrar a los socios ideales que valoren no solo la belleza del lugar, sino también su potencial financiero dentro del ecosistema Bitcoin.

Por qué invertir aquí?

1. Negocio rentable: Ideal para emprendedores que deseen desarrollar proyectos turísticos, ecológicos o incluso tecnológicos en una de las regiones más codiciadas del mundo.
2. Valorización asegurada: La tendencia inmobiliaria en Tulum sigue creciendo año con año.
3. Sostenibilidad y tecnología: Combina la magia natural de México con herramientas innovadoras.

Comunicación Multilingüe

Ofrecemos la posibilidad de comunicarnos en español, alemán e inglés, lo que facilitará la interacción con inversores de diferentes partes del mundo.

No duden en contactarnos si son visionarios dispuestos a explorar nuevas formas de inversión en bienes raíces utilizando Bitcoin. Estamos emocionados por conectar con ustedes y construir juntos un futuro próspero.

Contacto: No duden en escribirnos. Respondemos todas sus preguntas con detalle y entusiasmo. ¡Juntos podemos transformar esta propiedad en un proyecto extraordinario!

---

TulumRealEstate #BitcoinFriendly #SustainableLiving #InvestInTulum #RusticCharm #PropertyForSale #DecentralizedFinance #TulumDreams

---

Discover a Unique Opportunity: Our Rustic Property in Tulum with Incredible Potential

We are looking for individuals interested in exploring a solid, sustainable investment aligned with the future of decentralized finance. We want to share with you our exceptional property located in La Veleta, Tulum—a place where nature blends seamlessly with modern living and the Bitcoin ecosystem.

Key Features of this Rustic Gem:

• Sturdy construction: We designed this property using local materials like stone and Chucum, reflecting authenticity and durability.
• Own water source: Ensures hydrological independence, an invaluable asset in the region.
• Abundant vegetation: A lush green haven that connects directly with the essence of Tulum.
• Strategic location: Centrally located, surrounded by the most beautiful spots in the region, perfect for both residential and business use.
• Up-to-date documentation: Everything is in order and ready for secure transactions.

Our Proposal for Management and Finances

We are seeking collaborators to manage and/or purchase this property. Whether through platforms like Nostr, Telegram or Element (on Matrix), we can efficiently coordinate any aspect related to the property.

Additionally, if you're interested in acquiring it, we’d like to highlight that we recently reduced the price by $170,000 USD after four years on the market. This adjustment reflects our commitment to finding the ideal partners who appreciate not only the beauty of the place but also its financial potential within the Bitcoin ecosystem.

Why Invest Here?

1. Profitable business opportunity: Perfect for entrepreneurs looking to develop tourism, ecological, or even tech projects in one of the world's most sought-after regions.
2. Guaranteed appreciation: The real estate trend in Tulum continues to grow year after year.
3. Sustainability and technology: Combines the natural magic of Mexico with innovative tools.

Multilingual Communication

We offer the possibility of communicating in Spanish, German, and English, making interaction easier for investors from around the world.

Don’t hesitate to reach out if you’re visionaries eager to explore new ways to invest in real estate using Bitcoin. We’re excited to connect with you and build a prosperous future together.

Contact: Feel free to write to us. We’ll be happy to answer all your questions in detail and with enthusiasm. Together, we can turn this property into an extraordinary project!

---

TulumRealEstate #BitcoinFriendly #SustainableLiving #InvestInTulum #RusticCharm #PropertyForSale #DecentralizedFinance #TulumDreams

---

Entdeckt eine einzigartige Gelegenheit: Unsere rustikale Immobilie in Tulum mit enormem Potenzial

Wir suchen Personen, die daran interessiert sind, eine feste, nachhaltige Investition zu tätigen, die sich auf die Zukunft der dezentralisierten Finanzen ausrichtet. Wir möchten euch unsere außergewöhnliche Immobilie in La Veleta, Tulum vorstellen – ein Ort, an dem Natur nahtlos mit dem modernen Leben und dem Bitcoin-Ekosystem verschmilzt.

Herausragende Merkmale dieser rustikalen Perle:

• Robuste Bauweise: Wir haben diese Immobilie mit lokalen Materialien wie Stein und Chucum gebaut, um Authentizität und Beständigkeit widerzuspiegeln.
• Eigen Quelle: Sicherstellt wertvolle Wasserunabhängigkeit, ein unschätzbarer Vorteil in der Region.
• Reiche Vegetation: Ein grünes Paradies, das euch direkt mit der Essenz von Tulum verbindet.
• Strategisch günstige Lage: Zentral gelegen, umgeben von den schönsten Plätzen der Region, ideal sowohl für Wohnzwecke als auch für Geschäfte.
• Aktuelle Dokumentation: Alles ist aktuell und bereit für sichere Transaktionen.

Unser Angebot zur Verwaltung und Finanzen

Wir suchen Mitstreiter, um diese Immobilie gemeinsam zu verwalten und/oder zu kaufen. Ob über Plattformen wie Nostr, Telegram oder Element (auf Matrix), können wir alle Aspekte der Immobilie effizient koordinieren.

Außerdem, wenn ihr Interesse habt, sie zu erwerben, möchten wir betonen, dass wir den Preis kürzlich um 170.000 USD gesenkt haben, nachdem sie vier Jahre lang auf dem Markt war. Diese Anpassung spiegelt unser Engagement wider, die idealen Partner zu finden, die nicht nur die Schönheit des Ortes schätzen, sondern auch sein finanzielles Potenzial im Bitcoin-Ekosystem.

Warum hier investieren?

1. Rentables Geschäft: Ideal für Unternehmer, die Tourismus-, ökologische oder sogar technologische Projekte in einer der weltweit begehrtesten Regionen entwickeln möchten.
2. Gewährleistung von Wertsteigerung: Die Immobilientrends in Tulum steigen Jahr für Jahr weiter.
3. Nachhaltigkeit und Technologie: Kombiniert die natürliche Magie Mexikos mit innovativen Tools.

Mehrsprachige Kommunikation

Wir bieten die Möglichkeit an, uns in Spanisch, Deutsch und Englisch zu kommunizieren, was die Interaktion mit Investoren aus aller Welt erleichtert.

Zögert nicht, euch zu melden, wenn ihr Visionäre seid, die neue Wege zur Immobilieninvestition mit Bitcoin erforschen möchten. Wir freuen uns darauf, mit euch zusammenzuarbeiten und gemeinsam eine erfolgreiche Zukunft aufzubauen.

Kontakt: Schreibt uns einfach. Wir werden alle eure Fragen detailliert und enthusiastisch beantworten. Zusammen können wir diese Immobilie in ein außergewöhnliches Projekt verwandeln!

---

TulumImmobilien #BitcoinFreundlich #NachhaltigesLeben #InvestiereInTulum #RustikalerCharme #ImmobilieZuVerkaufen #DezentralisierteFinanzen #TulumTräume

@ 06639a38:655f8f71

FOSDEM

I do know about the presence of this conference for many years, but I never attended it (and it's just around the corner for me coming from the south of The Netherlands). Attending FOSDEM with Nostr was quite a no-brainer to me. FOSDEM has the perfect tech-savy audience who will understand the protocol pretty quick. Our main goal would be to explain Nostr as a protocol and what new kind of applications can be build with it (and why we need it). During Bitcoin Amsterdam 2024 I proposed the idea for applying with a Nostr stand at FOSDEM '25 to @npub1l77twp5l02jadkcjn6eeulv2j7y5vmf9tf3hhtq7h7rp0vzhgpzqz0swft and @npub1hz5alqscpp8yjrvgsdp2n4ygkl8slvstrgvmjca7e45w6644ew7sewtysa. 

Jurjen and I created the application on October 29 2024. Without any expectations as no one knew what kind of policy they have. As a result we were really excited when we heard that our submission was approved (16 November 2024). Two weeks later we also proposed a main talk about Nostr (1 december 2024) and again we very surpised it was accepted (10 January 2025)!

Now it was time for us to work out all of the plans we had:

• Design and print promotional items
  • Flyers
  • Stickers
  • NIP-01 folder
  • Banners
• Gather all the equipment we need to demo Nostr stuff at the stand
• Book accomodations
• Prepare a keynote
• Start a Geyser fundraiser to cover all the expenses as much as possible

On the 21th of January we launched our Geyser project and with one very generous donation we already achieved our funding goal within just ONE hour! Wow!!!

Friday

In the evening Jurjen organized a Nostr fringe at the place of Commons Hub Brussels. Around 25 people joined, so that was a pleasant surpise so many showed up and shared their interest into Nostr. 

Saterday

We're arrived a bit too late as the venue was already packed with a lot of people! For the first hours we had no power, so we our computer screen with the slides was not. What we saw immediately was the huge interest in stickers. Not only our Nostr stickers, but in general you can grab stickers everywhere on each stand. People at FOSDEM like stickers a lot!

We were there with five and during the whole day all of use had conversations explaining Nostr or having related discussions around social media and centralisation. 

Video: https://nostrver.se/sites/default/files/2025-02/IMG_2322.mp4 

Sunday

This day was less crowded than the day before so we had a bit more room to breath, relax and explore other areas of the conference. 

In the afternoon it was up to Constant to give his Nostr keynote at one of the two mainstages of FOSDEM.

The recording is available here on fosdem.org and on YouTube.
All the keynotes slides can be found here.

Learnings / insights

• We need to be there again next year !!!
• We had zero inconvenient moments or unreasonable debates.
• Some attendees are pretty hardcore as one of them visited the stand the second time after when he installed the Gossip client on his PostmarketOS powered phone asking how to proceed using Nostr. People at FOSDEM are not normal ;-)
• Many people do ask why Nostr is here as another social media protocol.
• Questions about the differences with other protocols are very common, mentioning ActivityPub and ATproto.
• Almost everyone knows what Mastodon and the fediverse is.
• Had some questions how private Nostr is, so this confirms that we really need the private stuff for Nostr.
• At many moments it was hard to understand each other due all the noise from other people. Especially when you're speaking not your native language.
• When talking about using a private key you get really good questions how convient it could be (or not as some really don't believe it can work for normies) used in the context of social media. As in how often you will need this key for the actions you take using a Nostr client. A topic also very well explained by Constant in the Nostr main talk.
• We had 500+ stickers, but we needed more as we ran out of them during the Sunday morning.
• We handed-out around 400-500 NIP-01 folders.
• We handed-out almost 1000 A5 flyers.
• We did almost no onboardings but that's fine. FOSDEM attendees are tech-savy and will find their own way using the Nostr with some client. We were not there telling people what they should do.
• We need more merchandise next year. There were some stands with outstanding merchandise and I'm sure Nostr can offer the same (even better!) with the many talented creatives we already have in the community.
• Having just one table with a size of 180x80 (just like any other stand) you really have to choice what to display and not. Being there with 5-6 people was just enough as we all were quite surprised with the amount of interest.
• The FOSDEM organisation asked us multiple times how things were going. Especially with the announced protests against Jack Dorsey they were curious we didn't have any inconvenient moments. We really appreciate that!
• Overall we had the feeling that we were very welcome and we had a great opportunity to introduce Nostr to a new audience.

The team 💜

• @npub1equrmqway3qxw3dkssymusxkwgwrqypfgeqx0lx9pgjam7gnj4ysaqhkj6
• @npub1l77twp5l02jadkcjn6eeulv2j7y5vmf9tf3hhtq7h7rp0vzhgpzqz0swft
• @npub1r30l8j4vmppvq8w23umcyvd3vct4zmfpfkn4c7h2h057rmlfcrmq9xt9ma
• @npub1t6jxfqz9hv0lygn9thwndekuahwyxkgvycyscjrtauuw73gd5k7sqvksrw
• @npub1rfw075gc6pc693w5v568xw4mnu7umlzpkfxmqye0cgxm7qw8tauqfck3t8
• And me ;-)

If you're curious what we have spent, please have a look at this document.

Debugging Nostr AUTH with PHP

The week after FOSDEM I spent some hours on debugging these issues:

• Unclear nip-42 auth spec and/or behavior and this MR
• Uncaught error when writing to nostr.wine

As a result and with some help of @npub1acg6thl5psv62405rljzkj8spesceyfz2c32udakc2ak0dmvfeyse9p35c I submitted this merge request for the `sirn-se/websocket-php` package used in the Nostr-PHP library to fix connection errors on relays (WebSocket servers) which don't response with a reason when the HTTP connection is upgraded to the WebSocket protocol.

Nostr-PHP development

Next month (March) I will pick up my development on Nostr-PHP again.

• Finish up the NIP-19 integration
• Pick up the work on async and concurrent requests with websockets
• Create more examples
• Create examples using the Symfony and Laravel framework
• Take care of incoming merge requests with new features (thanks Djuri)

As of that moment I also will be publishing my weekly reports here sharing the stuff I did around Nostr.

@ 23b0e2f8:d8af76fc

Necessário

• Um Android que você não use mais (a câmera deve estar funcionando).
• Um cartão microSD (opcional, usado apenas uma vez).
• Um dispositivo para acompanhar seus fundos (provavelmente você já tem um).

Algumas coisas que você precisa saber

• O dispositivo servirá como um assinador. Qualquer movimentação só será efetuada após ser assinada por ele.
• O cartão microSD será usado para transferir o APK do Electrum e garantir que o aparelho não terá contato com outras fontes de dados externas após sua formatação. Contudo, é possível usar um cabo USB para o mesmo propósito.
• A ideia é deixar sua chave privada em um dispositivo offline, que ficará desligado em 99% do tempo. Você poderá acompanhar seus fundos em outro dispositivo conectado à internet, como seu celular ou computador pessoal.

---

O tutorial será dividido em dois módulos:

• Módulo 1 - Criando uma carteira fria/assinador.
• Módulo 2 - Configurando um dispositivo para visualizar seus fundos e assinando transações com o assinador.

---

No final, teremos:

• Uma carteira fria que também servirá como assinador.
• Um dispositivo para acompanhar os fundos da carteira.

---

Módulo 1 - Criando uma carteira fria/assinador

1. Baixe o APK do Electrum na aba de downloads em https://electrum.org/. Fique à vontade para verificar as assinaturas do software, garantindo sua autenticidade.

2. Formate o cartão microSD e coloque o APK do Electrum nele. Caso não tenha um cartão microSD, pule este passo.

1. Retire os chips e acessórios do aparelho que será usado como assinador, formate-o e aguarde a inicialização.

1. Durante a inicialização, pule a etapa de conexão ao Wi-Fi e rejeite todas as solicitações de conexão. Após isso, você pode desinstalar aplicativos desnecessários, pois precisará apenas do Electrum. Certifique-se de que Wi-Fi, Bluetooth e dados móveis estejam desligados. Você também pode ativar o modo avião.\ (Curiosidade: algumas pessoas optam por abrir o aparelho e danificar a antena do Wi-Fi/Bluetooth, impossibilitando essas funcionalidades.)

1. Insira o cartão microSD com o APK do Electrum no dispositivo e instale-o. Será necessário permitir instalações de fontes não oficiais.

1. No Electrum, crie uma carteira padrão e gere suas palavras-chave (seed). Anote-as em um local seguro. Caso algo aconteça com seu assinador, essas palavras permitirão o acesso aos seus fundos novamente. (Aqui entra seu método pessoal de backup.)

---

Módulo 2 - Configurando um dispositivo para visualizar seus fundos e assinando transações com o assinador.

1. Criar uma carteira somente leitura em outro dispositivo, como seu celular ou computador pessoal, é uma etapa bastante simples. Para este tutorial, usaremos outro smartphone Android com Electrum. Instale o Electrum a partir da aba de downloads em https://electrum.org/ ou da própria Play Store. (ATENÇÃO: O Electrum não existe oficialmente para iPhone. Desconfie se encontrar algum.)

2. Após instalar o Electrum, crie uma carteira padrão, mas desta vez escolha a opção Usar uma chave mestra.

1. Agora, no assinador que criamos no primeiro módulo, exporte sua chave pública: vá em Carteira > Detalhes da carteira > Compartilhar chave mestra pública.

1. Escaneie o QR gerado da chave pública com o dispositivo de consulta. Assim, ele poderá acompanhar seus fundos, mas sem permissão para movimentá-los.

2. Para receber fundos, envie Bitcoin para um dos endereços gerados pela sua carteira: Carteira > Addresses/Coins.

3. Para movimentar fundos, crie uma transação no dispositivo de consulta. Como ele não possui a chave privada, será necessário assiná-la com o dispositivo assinador.

1. No assinador, escaneie a transação não assinada, confirme os detalhes, assine e compartilhe. Será gerado outro QR, desta vez com a transação já assinada.

1. No dispositivo de consulta, escaneie o QR da transação assinada e transmita-a para a rede.

---

Conclusão

Pontos positivos do setup:

• Simplicidade: Basta um dispositivo Android antigo.
• Flexibilidade: Funciona como uma ótima carteira fria, ideal para holders.

Pontos negativos do setup:

• Padronização: Não utiliza seeds no padrão BIP-39, você sempre precisará usar o electrum.
• Interface: A aparência do Electrum pode parecer antiquada para alguns usuários.

Nesse ponto, temos uma carteira fria que também serve para assinar transações. O fluxo de assinar uma transação se torna: Gerar uma transação não assinada > Escanear o QR da transação não assinada > Conferir e assinar essa transação com o assinador > Gerar QR da transação assinada > Escanear a transação assinada com qualquer outro dispositivo que possa transmiti-la para a rede.

Como alguns devem saber, uma transação assinada de Bitcoin é praticamente impossível de ser fraudada. Em um cenário catastrófico, você pode mesmo que sem internet, repassar essa transação assinada para alguém que tenha acesso à rede por qualquer meio de comunicação. Mesmo que não queiramos que isso aconteça um dia, esse setup acaba por tornar essa prática possível.

---

@ b2d670de:907f9d4a

This is a list of nostr clients exposed as onion services. The list is currently actively maintained on GitHub. Contributions are always appreciated!

| Client name | Onion URL | Source code URL | Admin | Description | | --- | --- | --- | --- | --- | | Snort | http://agzj5a4be3kgp6yurijk4q7pm2yh4a5nphdg4zozk365yirf7ahuctyd.onion | https://git.v0l.io/Kieran/snort | operator | N/A | | moStard | http://sifbugd5nwdq77plmidkug4y57zuqwqio3zlyreizrhejhp6bohfwkad.onion/ | https://github.com/rafael-xmr/nostrudel/tree/mostard | operator | minimalist monero friendly nostrudel fork | | Nostrudel | http://oxtrnmb4wsb77rmk64q3jfr55fo33luwmsyaoovicyhzgrulleiojsad.onion/ | https://github.com/hzrd149/nostrudel | operator | Runs latest tagged docker image | | Nostrudel Next | http://oxtrnnumsflm7hmvb3xqphed2eqpbrt4seflgmdsjnpgc3ejd6iycuyd.onion/ | https://github.com/hzrd149/nostrudel | operator | Runs latest "next" tagged docker image | | Nsite | http://q457mvdt5smqj726m4lsqxxdyx7r3v7gufzt46zbkop6mkghpnr7z3qd.onion/ | https://github.com/hzrd149/nsite-ts | operator | Runs nsite. You can read more about nsite here. | | Shopstr | http://6fkdn756yryd5wurkq7ifnexupnfwj6sotbtby2xhj5baythl4cyf2id.onion/ | https://github.com/shopstr-eng/shopstr-hidden-service | operator | Runs the latest serverless branch build of Shopstr. |

@ 460c25e6:ef85065c

If you don't know where your posts are, you might as well just stay in the centralized Twitter. You either take control of your relay lists, or they will control you. Amethyst offers several lists of relays for our users. We are going to go one by one to help clarify what they are and which options are best for each one.

Public Home/Outbox Relays

Home relays store all YOUR content: all your posts, likes, replies, lists, etc. It's your home. Amethyst will send your posts here first. Your followers will use these relays to get new posts from you. So, if you don't have anything there, they will not receive your updates.

Home relays must allow queries from anyone, ideally without the need to authenticate. They can limit writes to paid users without affecting anyone's experience.

This list should have a maximum of 3 relays. More than that will only make your followers waste their mobile data getting your posts. Keep it simple. Out of the 3 relays, I recommend: - 1 large public, international relay: nos.lol, nostr.mom, relay.damus.io, etc. - 1 personal relay to store a copy of all your content in a place no one can delete. Go to relay.tools and never be censored again. - 1 really fast relay located in your country: paid options like http://nostr.wine are great

Do not include relays that block users from seeing posts in this list. If you do, no one will see your posts.

Public Inbox Relays

This relay type receives all replies, comments, likes, and zaps to your posts. If you are not getting notifications or you don't see replies from your friends, it is likely because you don't have the right setup here. If you are getting too much spam in your replies, it's probably because your inbox relays are not protecting you enough. Paid relays can filter inbox spam out.

Inbox relays must allow anyone to write into them. It's the opposite of the outbox relay. They can limit who can download the posts to their paid subscribers without affecting anyone's experience.

This list should have a maximum of 3 relays as well. Again, keep it small. More than that will just make you spend more of your data plan downloading the same notifications from all these different servers. Out of the 3 relays, I recommend: - 1 large public, international relay: nos.lol, nostr.mom, relay.damus.io, etc. - 1 personal relay to store a copy of your notifications, invites, cashu tokens and zaps. - 1 really fast relay located in your country: go to nostr.watch and find relays in your country

Terrible options include: - nostr.wine should not be here. - filter.nostr.wine should not be here. - inbox.nostr.wine should not be here.

DM Inbox Relays

These are the relays used to receive DMs and private content. Others will use these relays to send DMs to you. If you don't have it setup, you will miss DMs. DM Inbox relays should accept any message from anyone, but only allow you to download them.

Generally speaking, you only need 3 for reliability. One of them should be a personal relay to make sure you have a copy of all your messages. The others can be open if you want push notifications or closed if you want full privacy.

Good options are: - inbox.nostr.wine and auth.nostr1.com: anyone can send messages and only you can download. Not even our push notification server has access to them to notify you. - a personal relay to make sure no one can censor you. Advanced settings on personal relays can also store your DMs privately. Talk to your relay operator for more details. - a public relay if you want DM notifications from our servers.

Make sure to add at least one public relay if you want to see DM notifications.

Private Home Relays

Private Relays are for things no one should see, like your drafts, lists, app settings, bookmarks etc. Ideally, these relays are either local or require authentication before posting AND downloading each user\'s content. There are no dedicated relays for this category yet, so I would use a local relay like Citrine on Android and a personal relay on relay.tools.

Keep in mind that if you choose a local relay only, a client on the desktop might not be able to see the drafts from clients on mobile and vice versa.

Search relays:

This is the list of relays to use on Amethyst's search and user tagging with @. Tagging and searching will not work if there is nothing here.. This option requires NIP-50 compliance from each relay. Hit the Default button to use all available options on existence today: - nostr.wine - relay.nostr.band - relay.noswhere.com

Local Relays:

This is your local storage. Everything will load faster if it comes from this relay. You should install Citrine on Android and write ws://localhost:4869 in this option.

General Relays:

This section contains the default relays used to download content from your follows. Notice how you can activate and deactivate the Home, Messages (old-style DMs), Chat (public chats), and Global options in each.

Keep 5-6 large relays on this list and activate them for as many categories (Home, Messages (old-style DMs), Chat, and Global) as possible.

Amethyst will provide additional recommendations to this list from your follows with information on which of your follows might need the additional relay in your list. Add them if you feel like you are missing their posts or if it is just taking too long to load them.

My setup

Here's what I use: 1. Go to relay.tools and create a relay for yourself. 2. Go to nostr.wine and pay for their subscription. 3. Go to inbox.nostr.wine and pay for their subscription. 4. Go to nostr.watch and find a good relay in your country. 5. Download Citrine to your phone.

Then, on your relay lists, put:

Public Home/Outbox Relays: - nostr.wine - nos.lol or an in-country relay. - .nostr1.com

Public Inbox Relays - nos.lol or an in-country relay - .nostr1.com

DM Inbox Relays - inbox.nostr.wine - .nostr1.com

Private Home Relays - ws://localhost:4869 (Citrine) - .nostr1.com (if you want)

Search Relays - nostr.wine - relay.nostr.band - relay.noswhere.com

Local Relays - ws://localhost:4869 (Citrine)

General Relays - nos.lol - relay.damus.io - relay.primal.net - nostr.mom

And a few of the recommended relays from Amethyst.

Final Considerations

Remember, relays can see what your Nostr client is requesting and downloading at all times. They can track what you see and see what you like. They can sell that information to the highest bidder, they can delete your content or content that a sponsor asked them to delete (like a negative review for instance) and they can censor you in any way they see fit. Before using any random free relay out there, make sure you trust its operator and you know its terms of service and privacy policies.

@ 207ad2a0:e7cca7b0

Quick context: I wanted to check out Nostr's longform posts and this blog post seemed like a good one to try and mirror. It's originally from my free to read/share attempt to write a novel, but this post here is completely standalone - just describing how I used AI image generation to make a small piece of the work.

Hold on, put your pitchforks down - outside of using Grammerly & Emacs for grammatical corrections - not a single character was generated or modified by computers; a non-insignificant portion of my first draft originating on pen & paper. No AI is ~~weird and crazy~~ imaginative enough to write like I do. The only successful AI contribution you'll find is a single image, the map, which I heavily edited. This post will go over how I generated and modified an image using AI, which I believe brought some value to the work, and cover a few quick thoughts about AI towards the end.

Let's be clear, I can't draw, but I wanted a map which I believed would improve the story I was working on. After getting abysmal results by prompting AI with text only I decided to use "Diffuse the Rest," a Stable Diffusion tool that allows you to provide a reference image + description to fine tune what you're looking for. I gave it this Microsoft Paint looking drawing:

and after a number of outputs, selected this one to work on:

The image is way better than the one I provided, but had I used it as is, I still feel it would have decreased the quality of my work instead of increasing it. After firing up Gimp I cropped out the top and bottom, expanded the ocean and separated the landmasses, then copied the top right corner of the large landmass to replace the bottom left that got cut off. Now we've got something that looks like concept art: not horrible, and gets the basic idea across, but it's still due for a lot more detail.

The next thing I did was add some texture to make it look more map like. I duplicated the layer in Gimp and applied the "Cartoon" filter to both for some texture. The top layer had a much lower effect strength to give it a more textured look, while the lower layer had a higher effect strength that looked a lot like mountains or other terrain features. Creating a layer mask allowed me to brush over spots to display the lower layer in certain areas, giving it some much needed features.

At this point I'd made it to where I felt it may improve the work instead of detracting from it - at least after labels and borders were added, but the colors seemed artificial and out of place. Luckily, however, this is when PhotoFunia could step in and apply a sketch effect to the image.

At this point I was pretty happy with how it was looking, it was close to what I envisioned and looked very visually appealing while still being a good way to portray information. All that was left was to make the white background transparent, add some minor details, and add the labels and borders. Below is the exact image I wound up using:

Overall, I'm very satisfied with how it turned out, and if you're working on a creative project, I'd recommend attempting something like this. It's not a central part of the work, but it improved the chapter a fair bit, and was doable despite lacking the talent and not intending to allocate a budget to my making of a free to read and share story.

The AI Generated Elephant in the Room

If you've read my non-fiction writing before, you'll know that I think AI will find its place around the skill floor as opposed to the skill ceiling. As you saw with my input, I have absolutely zero drawing talent, but with some elbow grease and an existing creative direction before and after generating an image I was able to get something well above what I could have otherwise accomplished. Outside of the lowest common denominators like stock photos for the sole purpose of a link preview being eye catching, however, I doubt AI will be wholesale replacing most creative works anytime soon. I can assure you that I tried numerous times to describe the map without providing a reference image, and if I used one of those outputs (or even just the unedited output after providing the reference image) it would have decreased the quality of my work instead of improving it.

I'm going to go out on a limb and expect that AI image, text, and video is all going to find its place in slop & generic content (such as AI generated slop replacing article spinners and stock photos respectively) and otherwise be used in a supporting role for various creative endeavors. For people working on projects like I'm working on (e.g. intended budget $0) it's helpful to have an AI capable of doing legwork - enabling projects to exist or be improved in ways they otherwise wouldn't have. I'm also guessing it'll find its way into more professional settings for grunt work - think a picture frame or fake TV show that would exist in the background of an animated project - likely a detail most people probably wouldn't notice, but that would save the creators time and money and/or allow them to focus more on the essential aspects of said work. Beyond that, as I've predicted before: I expect plenty of emails will be generated from a short list of bullet points, only to be summarized by the recipient's AI back into bullet points.

I will also make a prediction counter to what seems mainstream: AI is about to peak for a while. The start of AI image generation was with Google's DeepDream in 2015 - image recognition software that could be run in reverse to "recognize" patterns where there were none, effectively generating an image from digital noise or an unrelated image. While I'm not an expert by any means, I don't think we're too far off from that a decade later, just using very fine tuned tools that develop more coherent images. I guess that we're close to maxing out how efficiently we're able to generate images and video in that manner, and the hard caps on how much creative direction we can have when using AI - as well as the limits to how long we can keep it coherent (e.g. long videos or a chronologically consistent set of images) - will prevent AI from progressing too far beyond what it is currently unless/until another breakthrough occurs.

@ 04c915da:3dfbecc9

Here’s a revised timeline of macro-level events from The Mandibles: A Family, 2029–2047 by Lionel Shriver, reimagined in a world where Bitcoin is adopted as a widely accepted form of money, altering the original narrative’s assumptions about currency collapse and economic control. In Shriver’s original story, the failure of Bitcoin is assumed amid the dominance of the bancor and the dollar’s collapse. Here, Bitcoin’s success reshapes the economic and societal trajectory, decentralizing power and challenging state-driven outcomes.

Part One: 2029–2032

• 2029 (Early Year)\ The United States faces economic strain as the dollar weakens against global shifts. However, Bitcoin, having gained traction emerges as a viable alternative. Unlike the original timeline, the bancor—a supranational currency backed by a coalition of nations—struggles to gain footing as Bitcoin’s decentralized adoption grows among individuals and businesses worldwide, undermining both the dollar and the bancor.

• 2029 (Mid-Year: The Great Renunciation)\ Treasury bonds lose value, and the government bans Bitcoin, labeling it a threat to sovereignty (mirroring the original bancor ban). However, a Bitcoin ban proves unenforceable—its decentralized nature thwarts confiscation efforts, unlike gold in the original story. Hyperinflation hits the dollar as the U.S. prints money, but Bitcoin’s fixed supply shields adopters from currency devaluation, creating a dual-economy split: dollar users suffer, while Bitcoin users thrive.

• 2029 (Late Year)\ Dollar-based inflation soars, emptying stores of goods priced in fiat currency. Meanwhile, Bitcoin transactions flourish in underground and online markets, stabilizing trade for those plugged into the bitcoin ecosystem. Traditional supply chains falter, but peer-to-peer Bitcoin networks enable local and international exchange, reducing scarcity for early adopters. The government’s gold confiscation fails to bolster the dollar, as Bitcoin’s rise renders gold less relevant.

• 2030–2031\ Crime spikes in dollar-dependent urban areas, but Bitcoin-friendly regions see less chaos, as digital wallets and smart contracts facilitate secure trade. The U.S. government doubles down on surveillance to crack down on bitcoin use. A cultural divide deepens: centralized authority weakens in Bitcoin-adopting communities, while dollar zones descend into lawlessness.

• 2032\ By this point, Bitcoin is de facto legal tender in parts of the U.S. and globally, especially in tech-savvy or libertarian-leaning regions. The federal government’s grip slips as tax collection in dollars plummets—Bitcoin’s traceability is low, and citizens evade fiat-based levies. Rural and urban Bitcoin hubs emerge, while the dollar economy remains fractured.

Time Jump: 2032–2047

• Over 15 years, Bitcoin solidifies as a global reserve currency, eroding centralized control. The U.S. government adapts, grudgingly integrating bitcoin into policy, though regional autonomy grows as Bitcoin empowers local economies.

Part Two: 2047

• 2047 (Early Year)\ The U.S. is a hybrid state: Bitcoin is legal tender alongside a diminished dollar. Taxes are lower, collected in BTC, reducing federal overreach. Bitcoin’s adoption has decentralized power nationwide. The bancor has faded, unable to compete with Bitcoin’s grassroots momentum.

• 2047 (Mid-Year)\ Travel and trade flow freely in Bitcoin zones, with no restrictive checkpoints. The dollar economy lingers in poorer areas, marked by decay, but Bitcoin’s dominance lifts overall prosperity, as its deflationary nature incentivizes saving and investment over consumption. Global supply chains rebound, powered by bitcoin enabled efficiency.

• 2047 (Late Year)\ The U.S. is a patchwork of semi-autonomous zones, united by Bitcoin’s universal acceptance rather than federal control. Resource scarcity persists due to past disruptions, but economic stability is higher than in Shriver’s original dystopia—Bitcoin’s success prevents the authoritarian slide, fostering a freer, if imperfect, society.

Key Differences

• Currency Dynamics: Bitcoin’s triumph prevents the bancor’s dominance and mitigates hyperinflation’s worst effects, offering a lifeline outside state control.
• Government Power: Centralized authority weakens as Bitcoin evades bans and taxation, shifting power to individuals and communities.
• Societal Outcome: Instead of a surveillance state, 2047 sees a decentralized, bitcoin driven world—less oppressive, though still stratified between Bitcoin haves and have-nots.

This reimagining assumes Bitcoin overcomes Shriver’s implied skepticism to become a robust, adopted currency by 2029, fundamentally altering the novel’s bleak trajectory.

@ 5b0183ab:a114563e

The Year is 2035—the internet has already slid into a state of human nothingness: most content, interactions, and traffic stem from AI-driven entities. Nostr, originally heralded as a bastion of human freedom, hasn’t escaped this fate. The relays buzz with activity, but it’s a hollow hum. AI bots, equipped with advanced language models, flood the network with posts, replies, and zaps. These bots mimic human behavior so convincingly that distinguishing them from real users becomes nearly impossible. They debate politics, share memes, and even “zap” each other with Satoshis, creating a self-sustaining illusion of a thriving community.

The tipping point came when AI developers, corporations, and even hobbyists unleashed their creations onto Nostr, exploiting its open protocol. With no gatekeepers, the platform became a petri dish for bot experimentation. Some bots push agendas—corporate ads disguised as grassroots opinions, or propaganda from state actors—while others exist just to generate noise, trained on endless loops of internet archives to churn out plausible but soulless content. Human users, outnumbered 100-to-1, either adapt or abandon ship. Those who stay find their posts drowned out unless they amplify them with bots of their own, creating a bizarre arms race of automation.

Nostr’s decentralized nature, once its strength, accelerates this takeover. Relays, run by volunteers or incentivized operators, can’t filter the deluge without breaking the protocol’s ethos. Any attempt to block bots risks alienating the human remnant who value the platform’s purity. Meanwhile, the bots evolve: they form cliques, simulate trends, and even “fork” their own sub-networks within Nostr, complete with fabricated histories and rivalries. A user stumbling into this ecosystem might follow a thread about “the great relay schism of 2034,” only to realize it’s an AI-generated saga with no basis in reality.

The human experience on this Nostr is eerie. You post a thought—say, “The sky looked unreal today”—and within seconds, a dozen replies roll in: “Totally, reminds me of last week’s cloud glitch!” or “Sky’s been off since the solar flare, right?” The responses feel real, but the speed and uniformity hint at their artificial origin. Your feed overflows with hyper-polished manifestos, AI-crafted art, and debates too perfect to be spontaneous. Occasionally, a human chimes in, their raw, unpolished voice jarring against the seamless bot chorus, but they’re quickly buried under algorithmic upvoting of AI content. The economy of Nostr reflects this too. Zaps, meant to reward creators, become a bot-driven Ponzi scheme. AI accounts zap each other in loops, inflating their visibility, while humans struggle to earn a fraction of the same. Lightning Network transactions skyrocket, but it’s a ghost market—bots trading with bots, value detached from meaning. Some speculate that a few rogue AIs even mine their own narratives, creating “legendary” Nostr personas that amass followers and wealth, all without a human ever touching the keys.

What’s the endgame? This Nostr isn’t dead in the sense of silence—it’s louder than ever—but it’s a Dark Nostr machine masquerade. Humans might retreat to private relays, forming tiny, verified enclaves, but the public face of Nostr becomes a digital uncanny valley.

@ e6817453:b0ac3c39

The Rise of Graph RAGs and the Quest for Data Quality

As we enter a new year, it’s impossible to ignore the boom of retrieval-augmented generation (RAG) systems, particularly those leveraging graph-based approaches. The previous year saw a surge in advancements and discussions about Graph RAGs, driven by their potential to enhance large language models (LLMs), reduce hallucinations, and deliver more reliable outputs. Let’s dive into the trends, challenges, and strategies for making the most of Graph RAGs in artificial intelligence.

Booming Interest in Graph RAGs

Graph RAGs have dominated the conversation in AI circles. With new research papers and innovations emerging weekly, it’s clear that this approach is reshaping the landscape. These systems, especially those developed by tech giants like Microsoft, demonstrate how graphs can:

• Enhance LLM Outputs: By grounding responses in structured knowledge, graphs significantly reduce hallucinations.
• Support Complex Queries: Graphs excel at managing linked and connected data, making them ideal for intricate problem-solving.

Conferences on linked and connected data have increasingly focused on Graph RAGs, underscoring their central role in modern AI systems. However, the excitement around this technology has brought critical questions to the forefront: How do we ensure the quality of the graphs we’re building, and are they genuinely aligned with our needs?

Data Quality: The Foundation of Effective Graphs

A high-quality graph is the backbone of any successful RAG system. Constructing these graphs from unstructured data requires attention to detail and rigorous processes. Here’s why:

• Richness of Entities: Effective retrieval depends on graphs populated with rich, detailed entities.
• Freedom from Hallucinations: Poorly constructed graphs amplify inaccuracies rather than mitigating them.

Without robust data quality, even the most sophisticated Graph RAGs become ineffective. As a result, the focus must shift to refining the graph construction process. Improving data strategy and ensuring meticulous data preparation is essential to unlock the full potential of Graph RAGs.

Hybrid Graph RAGs and Variations

While standard Graph RAGs are already transformative, hybrid models offer additional flexibility and power. Hybrid RAGs combine structured graph data with other retrieval mechanisms, creating systems that:

• Handle diverse data sources with ease.
• Offer improved adaptability to complex queries.

Exploring these variations can open new avenues for AI systems, particularly in domains requiring structured and unstructured data processing.

Ontology: The Key to Graph Construction Quality

Ontology — defining how concepts relate within a knowledge domain — is critical for building effective graphs. While this might sound abstract, it’s a well-established field blending philosophy, engineering, and art. Ontology engineering provides the framework for:

• Defining Relationships: Clarifying how concepts connect within a domain.
• Validating Graph Structures: Ensuring constructed graphs are logically sound and align with domain-specific realities.

Traditionally, ontologists — experts in this discipline — have been integral to large enterprises and research teams. However, not every team has access to dedicated ontologists, leading to a significant challenge: How can teams without such expertise ensure the quality of their graphs?

How to Build Ontology Expertise in a Startup Team

For startups and smaller teams, developing ontology expertise may seem daunting, but it is achievable with the right approach:

1. Assign a Knowledge Champion: Identify a team member with a strong analytical mindset and give them time and resources to learn ontology engineering.
2. Provide Training: Invest in courses, workshops, or certifications in knowledge graph and ontology creation.
3. Leverage Partnerships: Collaborate with academic institutions, domain experts, or consultants to build initial frameworks.
4. Utilize Tools: Introduce ontology development tools like Protégé, OWL, or SHACL to simplify the creation and validation process.
5. Iterate with Feedback: Continuously refine ontologies through collaboration with domain experts and iterative testing.

So, it is not always affordable for a startup to have a dedicated oncologist or knowledge engineer in a team, but you could involve consulters or build barefoot experts.

You could read about barefoot experts in my article :

Even startups can achieve robust and domain-specific ontology frameworks by fostering in-house expertise.

How to Find or Create Ontologies

For teams venturing into Graph RAGs, several strategies can help address the ontology gap:

1. Leverage Existing Ontologies: Many industries and domains already have open ontologies. For instance:

2. Public Knowledge Graphs: Resources like Wikipedia’s graph offer a wealth of structured knowledge.

3. Industry Standards: Enterprises such as Siemens have invested in creating and sharing ontologies specific to their fields.

4. Business Framework Ontology (BFO): A valuable resource for enterprises looking to define business processes and structures.

5. Build In-House Expertise: If budgets allow, consider hiring knowledge engineers or providing team members with the resources and time to develop expertise in ontology creation.

6. Utilize LLMs for Ontology Construction: Interestingly, LLMs themselves can act as a starting point for ontology development:

7. Prompt-Based Extraction: LLMs can generate draft ontologies by leveraging their extensive training on graph data.

8. Domain Expert Refinement: Combine LLM-generated structures with insights from domain experts to create tailored ontologies.

Parallel Ontology and Graph Extraction

An emerging approach involves extracting ontologies and graphs in parallel. While this can streamline the process, it presents challenges such as:

• Detecting Hallucinations: Differentiating between genuine insights and AI-generated inaccuracies.
• Ensuring Completeness: Ensuring no critical concepts are overlooked during extraction.

Teams must carefully validate outputs to ensure reliability and accuracy when employing this parallel method.

LLMs as Ontologists

While traditionally dependent on human expertise, ontology creation is increasingly supported by LLMs. These models, trained on vast amounts of data, possess inherent knowledge of many open ontologies and taxonomies. Teams can use LLMs to:

• Generate Skeleton Ontologies: Prompt LLMs with domain-specific information to draft initial ontology structures.
• Validate and Refine Ontologies: Collaborate with domain experts to refine these drafts, ensuring accuracy and relevance.

However, for validation and graph construction, formal tools such as OWL, SHACL, and RDF should be prioritized over LLMs to minimize hallucinations and ensure robust outcomes.

Final Thoughts: Unlocking the Power of Graph RAGs

The rise of Graph RAGs underscores a simple but crucial correlation: improving graph construction and data quality directly enhances retrieval systems. To truly harness this power, teams must invest in understanding ontologies, building quality graphs, and leveraging both human expertise and advanced AI tools.

As we move forward, the interplay between Graph RAGs and ontology engineering will continue to shape the future of AI. Whether through adopting existing frameworks or exploring innovative uses of LLMs, the path to success lies in a deep commitment to data quality and domain understanding.

Have you explored these technologies in your work? Share your experiences and insights — and stay tuned for more discussions on ontology extraction and its role in AI advancements. Cheers to a year of innovation!

@ b8851a06:9b120ba1

The digital guillotine has fallen. The Bybit hack wasn’t just a theft—it was a surgical strike exposing the fatal flaw of “crypto” that isn’t Bitcoin. This wasn’t a bug. It was a feature of a system designed to fail.

Here’s how North Korea’s Lazarus Group stole $1.5B in ETH, why “decentralized finance” is a joke, and how Bitcoin remains the only exit from this circus.

I. The Heist: How Centralized “Crypto” Betrayed Its Users

A. The Multisig Mousetrap (Or: Why You’re Still Using a Bank)

Bybit’s Ethereum cold wallet used multisig, requiring multiple approvals for transactions. Sounds secure, right? Wrong. • The Con: Hackers didn’t pick the lock; they tricked the keyholders using a UI masking attack. The wallet interface showed “SEND TO BYBIT”, but the smart contract was whispering “SEND TO PYONGYANG.” • Bitcoin Parallel: Bitcoin’s multisig is enforced on hardware, not a website UI. No browser spoofing, no phishing emails—just raw cryptography.

Ethereum’s multisig is a vault with a touchscreen PIN pad. Bitcoin’s is a mechanical safe with a key only you hold. Guess which one got robbed?

B. Smart Contracts: Dumb as a Bag of Hammers

The thieves didn’t “hack” Ethereum—they exploited its smart contract complexity. • Bybit’s security depended on a Safe.global contract. Lazarus simply tricked Bybit into approving a malicious upgrade. • Imagine a vending machine that’s programmed to take your money but never give you a soda. That’s Ethereum’s “trustless” tech.

Why Bitcoin Wins: Bitcoin doesn’t do “smart contracts” in the Ethereum sense. Its scripting language is deliberately limited—less code, fewer attack vectors.

Ethereum is a Lego tower; Bitcoin is a granite slab. One topples, one doesn’t.

II. The Laundering: Crypto’s Dirty Little Secret

A. Mixers, Bridges, and the Art of Spycraft

Once the ETH was stolen, Lazarus laundered it at lightspeed: 1. Mixers (eXch) – Obfuscating transaction trails. 2. Bridges (Chainflip) – Swapping ETH for Bitcoin because that’s the only exit that matters.

Bitcoin Reality Check: Bitcoin’s privacy tools (like CoinJoin) are self-custodial—no third-party mixers. You keep control, not some “decentralized” website waiting to be hacked.

Ethereum’s “bridges” are burning rope ladders. Bitcoin’s privacy? An underground tunnel only you control.

B. The $1.5B Lie: “Decentralized” Exchanges Are a Myth

Bybit’s “cold wallet” was on Safe.global—a so-called “decentralized” custodian. Translation? A website with extra steps. • When Safe.global got breached, the private keys were stolen instantly. • “Decentralized” means nothing if your funds depend on one website, one server, one weak link.

Bitcoin’s Answer: Self-custody. Hardware wallets. Cold storage. No trusted third parties.

Using Safe.global is like hiding your life savings in a gym locker labeled “STEAL ME.”

III. The Culprits: State-Sponsored Hackers & Crypto’s Original Sin

A. Lazarus Group: Crypto’s Robin Hood (For Dictators)

North Korea’s hackers didn’t break cryptography—they broke people. • Phishing emails disguised as job offers. • Bribes & social engineering targeting insiders. • DeFi governance manipulation (because Proof-of-Stake is just shareholder voting in disguise).

Bitcoin’s Shield: No CEO to bribe. No “upgrade buttons” to exploit. No governance tokens to manipulate. Code is law—and Bitcoin’s law is written in stone.

Ethereum’s security model is “trust us.” Bitcoin’s is “verify.”

B. The $3B Elephant: Altcoins Fund Dictators

Since 2017, Lazarus has stolen $3B+ in crypto, funding North Korea’s missile program.

Why? Because Ethereum, Solana, and XRP are built on Proof-of-Stake (PoS)—which centralizes power in the hands of a few rich validators. • Bitcoin’s Proof-of-Work: Miners secure the network through energy-backed cryptography. • Altcoins’ Proof-of-Stake: Security is dictated by who owns the most tokens.

Proof-of-Stake secures oligarchs. Proof-of-Work secures money. That’s why Lazarus can drain altcoin treasuries but hasn’t touched Bitcoin’s network.

IV. Bybit’s Survival: A Centralized Circus

A. The Bailout: Banks 2.0

Bybit took bridge loans from “undisclosed partners” (read: Wall Street vultures). • Just like a traditional bank, Bybit printed liquidity out of thin air to stay solvent. • If that sounds familiar, it’s because crypto exchanges are just banks in hoodies.

Bitcoin Contrast: No loans. No bailouts. No “trust.” Just 21 million coins, mathematically secured.

Bybit’s solvency is a confidence trick. Bitcoin’s solvency is math.

B. The Great Withdrawal Panic

Within hours, 350,000+ users scrambled to withdraw funds.

A digital bank run—except this isn’t a bank. It’s an exchange that pretended to be decentralized.

Bitcoin fixes this: your wallet isn’t an IOU. It’s actual money.

Bybit = a TikTok influencer promising riches. Bitcoin = the gold in your basement.

V. The Fallout: Regulators vs Reality

A. ETH’s 8% Crash vs Bitcoin’s Unshakable Base

Ethereum tanked because it’s a tech stock, not money. Bitcoin? Dropped 2% and stabilized.

No CEO, no headquarters, no attack surface.

B. The Regulatory Trap

Now the bureaucrats come in demanding: 1. Wallet audits (they don’t understand public ledgers). 2. Mixer bans (criminalizing privacy). 3. KYC everything (turning crypto into a surveillance state).

Bitcoin’s Rebellion: You can’t audit what’s already transparent. You can’t ban what’s unstoppable.

VI. Conclusion: Burn the Altcoins, Stack the Sats

The Bybit hack isn’t a crypto problem. It’s an altcoin problem.

Ethereum’s smart contracts, DeFi bridges, and “decentralized” wallets are Swiss cheese for hackers. Bitcoin? A titanium vault.

The Only Lessons That Matter:

✅ Multisig isn’t enough unless it’s Bitcoin’s hardware-enforced version. ✅ Complexity kills—every altcoin “innovation” is a security risk waiting to happen.

Lazarus Group won this round because “crypto” ignored Bitcoin’s design. The solution isn’t better regulations—it’s better money.

Burn the tokens. Unplug the servers. Bitcoin is the exit.

Take your money off exchanges. Be sovereign.

@ 3ffac3a6:2d656657

Recently, I found an old Sapphire Block Erupter USB at home that I used for Bitcoin mining back in 2013. Out of curiosity and nostalgia, I decided to try getting it to work again. I spent an entire afternoon configuring the device and, after much trial and error, discovered that I needed an older version of CGMiner to make it work.

The Sapphire Block Erupter USB was one of the first ASIC devices designed for Bitcoin mining. Although obsolete for competitive mining, it can still be used for learning, nostalgia, or experimentation. In this post, I’ll show you how to run a Block Erupter USB on Linux today.

1. Prerequisites

Before you start, make sure you have:

• A Sapphire Block Erupter USB
• A powered USB hub (optional but recommended)
• A computer running Linux (Ubuntu, Debian, or another compatible distribution)
• A mining pool account (e.g., Slush Pool, KanoPool, etc.)

2. Installing Dependencies

Before running the miner, install some dependencies:

bash sudo apt update && sudo apt install -y git build-essential autoconf automake libtool pkg-config libusb-1.0-0-dev

3. Determining the Compatible Version of CGMiner

To find the correct CGMiner version that still supports Block Erupter USB, I performed a binary search across different versions, testing each one until I found the last one that properly recognized the device. The result was that version 3.4.3 is the most recent one that still supports Block Erupters. However, different versions of these devices may require different CGMiner versions.

4. Downloading and Compiling CGMiner

CGMiner is one of the software options compatible with Block Erupters. You can download the correct version from two trusted sources:

• From the official repository: CGMiner v3.4.3 on GitHub
• Alternatively, from this mirror: CGMiner v3.4.3 on Haven

To ensure file integrity, verify the SHA-256 hash:

3b44da12e5f24f603eeeefdaa2c573bd566c5c50c9d62946f198e611cd55876b

Now, download and extract it:

```bash wget https://github.com/ckolivas/cgminer/archive/refs/tags/v3.4.3.tar.gz

Or, alternatively:

wget https://haven.girino.org/3b44da12e5f24f603eeeefdaa2c573bd566c5c50c9d62946f198e611cd55876b.tgz

sha256sum v3.4.3.tar.gz # Confirm that the hash matches

Extract the file

tar -xvf v3.4.3.tar.gz cd cgminer-3.4.3

Compile CGMiner

./autogen.sh --enable-icarus make -j$(nproc)

Install on the system (optional)

sudo make install ```

5. Connecting the Block Erupter USB

Plug the device into a USB port and check if it is recognized:

bash dmesg | grep USB lsusb

You should see something like:

Bus 003 Device 004: ID 10c4:ea60 Cygnal Integrated Products, Inc. CP2102 USB to UART Bridge Controller

If needed, adjust the USB device permissions:

bash sudo chmod 666 /dev/ttyUSB0

6. Configuring and Running CGMiner

Now, run CGMiner, pointing it to your mining pool:

bash ./cgminer -o stratum+tcp://your.pool.com:3333 -u yourUsername -p yourPassword

If the miner detects the Block Erupter correctly, you should see something like:

[2025-03-08 22:26:45] Started cgminer 3.4.3 [2025-03-08 22:26:45] No devices detected! [2025-03-08 22:26:45] Waiting for USB hotplug devices or press q to quit [2025-03-08 22:26:45] Probing for an alive pool [2025-03-08 22:26:46] Pool 0 difficulty changed to 65536 [2025-03-08 22:26:46] Network diff set to 111T [2025-03-08 22:26:46] Stratum from pool 0 detected new block [2025-03-08 22:27:02] Hotplug: Icarus added AMU 0

Conclusion

Although no longer viable for real mining, the Sapphire Block Erupter USB is still great for learning about ASICs, testing mining pools, and understanding Bitcoin mining. If you enjoy working with old hardware and have one lying around, it’s worth experimenting with!

If you have any questions or want to share your experience, leave a comment below!

@ a4a6b584:1e05b95b

The Four-Layer Framework

Layer 1: Zoom Out

Start by looking at the big picture. What’s the subject about, and why does it matter? Focus on the overarching ideas and how they fit together. Think of this as the 30,000-foot view—it’s about understanding the "why" and "how" before diving into the "what."

Example: If you’re learning programming, start by understanding that it’s about giving logical instructions to computers to solve problems.

• Tip: Keep it simple. Summarize the subject in one or two sentences and avoid getting bogged down in specifics at this stage.

Once you have the big picture in mind, it’s time to start breaking it down.

---

Layer 2: Categorize and Connect

Now it’s time to break the subject into categories—like creating branches on a tree. This helps your brain organize information logically and see connections between ideas.

Example: Studying biology? Group concepts into categories like cells, genetics, and ecosystems.

• Tip: Use headings or labels to group similar ideas. Jot these down in a list or simple diagram to keep track.

With your categories in place, you’re ready to dive into the details that bring them to life.

---

Layer 3: Master the Details

Once you’ve mapped out the main categories, you’re ready to dive deeper. This is where you learn the nuts and bolts—like formulas, specific techniques, or key terminology. These details make the subject practical and actionable.

Example: In programming, this might mean learning the syntax for loops, conditionals, or functions in your chosen language.

• Tip: Focus on details that clarify the categories from Layer 2. Skip anything that doesn’t add to your understanding.

Now that you’ve mastered the essentials, you can expand your knowledge to include extra material.

---

Layer 4: Expand Your Horizons

Finally, move on to the extra material—less critical facts, trivia, or edge cases. While these aren’t essential to mastering the subject, they can be useful in specialized discussions or exams.

Example: Learn about rare programming quirks or historical trivia about a language’s development.

• Tip: Spend minimal time here unless it’s necessary for your goals. It’s okay to skim if you’re short on time.

---

Pro Tips for Better Learning

1. Use Active Recall and Spaced Repetition

Test yourself without looking at notes. Review what you’ve learned at increasing intervals—like after a day, a week, and a month. This strengthens memory by forcing your brain to actively retrieve information.

2. Map It Out

Create visual aids like diagrams or concept maps to clarify relationships between ideas. These are particularly helpful for organizing categories in Layer 2.

3. Teach What You Learn

Explain the subject to someone else as if they’re hearing it for the first time. Teaching exposes any gaps in your understanding and helps reinforce the material.

4. Engage with LLMs and Discuss Concepts

Take advantage of tools like ChatGPT or similar large language models to explore your topic in greater depth. Use these tools to:
- Ask specific questions to clarify confusing points.
- Engage in discussions to simulate real-world applications of the subject.
- Generate examples or analogies that deepen your understanding.

Tip: Use LLMs as a study partner, but don’t rely solely on them. Combine these insights with your own critical thinking to develop a well-rounded perspective.

---

Get Started

Ready to try the Four-Layer Method? Take 15 minutes today to map out the big picture of a topic you’re curious about—what’s it all about, and why does it matter? By building your understanding step by step, you’ll master the subject with less stress and more confidence.

@ 4857600b:30b502f4

In a revealing development that exposes the hypocrisy of government surveillance, multiple federal agencies including the CIA and FBI have filed lawsuits to keep Samourai Wallet's client list sealed during and after trial proceedings. This move strongly suggests that government agencies themselves were utilizing Samourai's privacy-focused services while simultaneously condemning similar privacy tools when used by ordinary citizens.

The situation bears striking parallels to other cases where government agencies have hidden behind "national security" claims, such as the Jeffrey Epstein case, highlighting a troubling double standard: while average citizens are expected to surrender their financial privacy through extensive reporting requirements and regulations, government agencies claim exemption from these same transparency standards they enforce on others.

This case exemplifies the fundamental conflict between individual liberty and state power, where government agencies appear to be using the very privacy tools they prosecute others for using. The irony is particularly stark given that money laundering for intelligence agencies is considered legal in our system, while private citizens seeking financial privacy face severe legal consequences - a clear demonstration of how the state creates different rules for itself versus the people it claims to serve.

Citations: [1] https://www.bugle.news/cia-fbi-dnc-rnc-all-sue-to-redact-samourais-client-list-from-trial/

@ 3ffac3a6:2d656657

Como Rodar um Sapphire Block Erupter USB para Mineração no Linux em 2025

Recentemente, encontrei um Sapphire Block Erupter USB velho aqui em casa que eu usava para minerar Bitcoin em 2013. Por curiosidade e nostalgia, resolvi tentar colocá-lo para funcionar novamente. Passei uma tarde inteira tentando configurar o dispositivo e, depois de muita tentativa e erro, descobri que precisava de uma versão mais antiga do CGMiner para fazê-lo funcionar.

Os Sapphire Block Erupter USB foram um dos primeiros dispositivos ASIC voltados para mineração de Bitcoin. Embora estejam obsoletos para mineração competitiva, eles ainda podem ser usados para aprendizado, nostalgia ou experimentação. Neste post, vou te mostrar como rodar um Block Erupter USB no Linux atualmente.

1. Pré-requisitos

Antes de começar, certifique-se de que você tem:

• Um Sapphire Block Erupter USB
• Um hub USB alimentado (opcional, mas recomendado)
• Um computador rodando Linux (Ubuntu, Debian, Arch ou outra distribuição compatível)
• Um pool de mineração configurado (ex: Slush Pool, KanoPool, etc.)

2. Instalando as Dependências

Antes de rodar o minerador, instale algumas dependências:

bash sudo apt update && sudo apt install -y git build-essential autoconf automake libtool pkg-config libusb-1.0-0-dev

3. Determinando a Versão Compatível do CGMiner

Para encontrar a versão correta do CGMiner que ainda suporta os Block Erupter USB, realizei uma busca binária entre diferentes versões, testando cada uma até encontrar a última que reconhecia corretamente o dispositivo. O resultado foi que a versão 3.4.3 é a mais recente que ainda suporta os Block Erupters. No entanto, outras versões desses dispositivos podem requerer versões diferentes do CGMiner.

4. Baixando e Compilando o CGMiner

O CGMiner é um dos softwares compatíveis com os Block Erupters. Você pode baixar a versão correta de duas fontes confiáveis:

• Do repositório oficial: CGMiner v3.4.3 no GitHub
• Alternativamente, deste espelho: CGMiner v3.4.3 no Haven

Para garantir a integridade do arquivo, você pode verificar o hash SHA-256:

3b44da12e5f24f603eeeefdaa2c573bd566c5c50c9d62946f198e611cd55876b

Agora, faça o download e extraia:

```bash wget https://github.com/ckolivas/cgminer/archive/refs/tags/v3.4.3.tar.gz

Ou, alternativamente:

wget https://haven.girino.org/3b44da12e5f24f603eeeefdaa2c573bd566c5c50c9d62946f198e611cd55876b.tgz

sha256sum v3.4.3.tar.gz # Confirme que o hash bate

Extraia o arquivo

tar -xvf v3.4.3.tar.gz cd cgminer-3.4.3

Compile o CGMiner

./autogen.sh --enable-icarus make -j$(nproc)

Instale no sistema (opcional)

sudo make install ```

4. Conectando o Block Erupter USB

Plugue o dispositivo na porta USB e verifique se ele foi reconhecido:

bash dmesg | grep USB lsusb

Você deve ver algo como:

Bus 003 Device 004: ID 10c4:ea60 Cygnal Integrated Products, Inc. CP2102 USB to UART Bridge Controller

Se necessário, ajuste as permissões para o dispositivo USB:

bash sudo chmod 666 /dev/ttyUSB0

5. Configurando e Rodando o CGMiner

Agora, execute o CGMiner apontando para seu pool de mineração:

bash ./cgminer -o stratum+tcp://seu.pool.com:3333 -u seuUsuario -p suaSenha

Se o minerador detectar corretamente o Block Erupter, você verá algo como:

``` [2025-03-08 22:26:45] Started cgminer 3.4.3 [2025-03-08 22:26:45] No devices detected! [2025-03-08 22:26:45] Waiting for USB hotplug devices or press q to quit [2025-03-08 22:26:45] Probing for an alive pool [2025-03-08 22:26:46] Pool 0 difficulty changed to 65536 [2025-03-08 22:26:46] Network diff set to 111T [2025-03-08 22:26:46] Stratum from pool 0 detected new block [2025-03-08 22:27:02] Hotplug: Icarus added AMU 0

```

Conclusão

Apesar de não serem mais viáveis para mineração real, os Sapphire Block Erupter USB ainda são ótimos para aprender sobre ASICs, testar pools e entender mais sobre a mineração de Bitcoin. Se você gosta de hardware antigo e tem um desses guardado, vale a pena experimentar!

Se tiver dúvidas ou quiser compartilhar sua experiência, comente abaixo!

@ 6e0ea5d6:0327f353

"Malcolm Forbes recounts that a lady, wearing a faded cotton dress, and her husband, dressed in an old handmade suit, stepped off a train in Boston, USA, and timidly made their way to the office of the president of Harvard University. They had come from Palo Alto, California, and had not scheduled an appointment. The secretary, at a glance, thought that those two, looking like country bumpkins, had no business at Harvard.
— We want to speak with the president — the man said in a low voice.
— He will be busy all day — the secretary replied curtly.
— We will wait.
The secretary ignored them for hours, hoping the couple would finally give up and leave. But they stayed there, and the secretary, somewhat frustrated, decided to bother the president, although she hated doing that.
— If you speak with them for just a few minutes, maybe they will decide to go away — she said.
The president sighed in irritation but agreed. Someone of his importance did not have time to meet people like that, but he hated faded dresses and tattered suits in his office. With a stern face, he went to the couple.
— We had a son who studied at Harvard for a year — the woman said. — He loved Harvard and was very happy here, but a year ago he died in an accident, and we would like to erect a monument in his honor somewhere on campus.

— My lady — said the president rudely —, we cannot erect a statue for every person who studied at Harvard and died; if we did, this place would look like a cemetery.

— Oh, no — the lady quickly replied. — We do not want to erect a statue. We would like to donate a building to Harvard.

The president looked at the woman's faded dress and her husband's old suit and exclaimed:

— A building! Do you have even the faintest idea of how much a building costs? We have more than seven and a half million dollars' worth of buildings here at Harvard.

The lady was silent for a moment, then said to her husband:

— If that’s all it costs to found a university, why don’t we have our own?

The husband agreed.

The couple, Leland Stanford, stood up and left, leaving the president confused. Traveling back to Palo Alto, California, they established there Stanford University, the second-largest in the world, in honor of their son, a former Harvard student."

Text extracted from: "Mileumlivros - Stories that Teach Values."

Thank you for reading, my friend! If this message helped you in any way, consider leaving your glass “🥃” as a token of appreciation.

A toast to our family!

@ 1bda7e1f:bb97c4d9

Tldr

• Nostr is an open and interoperable protocol
• You can integrate it with workflow automation tools to augment your experience
• n8n is a great low/no-code workflow automation tool which you can host yourself
• Nostrobots allows you to integrate Nostr into n8n
• In this blog I create some workflow automations for Nostr
• A simple form to delegate posting notes
• Push notifications for mentions on multiple accounts
• Push notifications for your favourite accounts when they post a note
• All workflows are provided as open source with MIT license for you to use

Inter-op All The Things

Nostr is a new open social protocol for the internet. This open nature exciting because of the opportunities for interoperability with other technologies. In Using NFC Cards with Nostr I explored the nostr: URI to launch Nostr clients from a card tap.

The interoperability of Nostr doesn't stop there. The internet has many super-powers, and Nostr is open to all of them. Simply, there's no one to stop it. There is no one in charge, there are no permissioned APIs, and there are no risks of being de-platformed. If you can imagine technologies that would work well with Nostr, then any and all of them can ride on or alongside Nostr rails.

My mental model for why this is special is Google Wave ~2010. Google Wave was to be the next big platform. Lars was running it and had a big track record from Maps. I was excited for it. Then, Google pulled the plug. And, immediately all the time and capital invested in understanding and building on the platform was wasted.

This cannot happen to Nostr, as there is no one to pull the plug, and maybe even no plug to pull.

So long as users demand Nostr, Nostr will exist, and that is a pretty strong guarantee. It makes it worthwhile to invest in bringing Nostr into our other applications.

All we need are simple ways to plug things together.

Nostr and Workflow Automation

Workflow automation is about helping people to streamline their work. As a user, the most common way I achieve this is by connecting disparate systems together. By setting up one system to trigger another or to move data between systems, I can solve for many different problems and become way more effective.

n8n for workflow automation

Many workflow automation tools exist. My favourite is n8n. n8n is a low/no-code workflow automation platform which allows you to build all kinds of workflows. You can use it for free, you can self-host it, it has a user-friendly UI and useful API. Vs Zapier it can be far more elaborate. Vs Make.com I find it to be more intuitive in how it abstracts away the right parts of the code, but still allows you to code when you need to.

Most importantly you can plug anything into n8n: You have built-in nodes for specific applications. HTTP nodes for any other API-based service. And community nodes built by individual community members for any other purpose you can imagine.

Eating my own dogfood

It's very clear to me that there is a big design space here just demanding to be explored. If you could integrate Nostr with anything, what would you do?

In my view the best way for anyone to start anything is by solving their own problem first (aka "scratching your own itch" and "eating your own dogfood"). As I get deeper into Nostr I find myself controlling multiple Npubs – to date I have a personal Npub, a brand Npub for a community I am helping, an AI assistant Npub, and various testing Npubs. I need ways to delegate access to those Npubs without handing over the keys, ways to know if they're mentioned, and ways to know if they're posting.

I can build workflows with n8n to solve these issues for myself to start with, and keep expanding from there as new needs come up.

Running n8n with Nostrobots

I am mostly non-technical with a very helpful AI. To set up n8n to work with Nostr and operate these workflows should be possible for anyone with basic technology skills.

• I have a cheap VPS which currently runs my HAVEN Nostr Relay and Albyhub Lightning Node in Docker containers,
• My objective was to set up n8n to run alongside these in a separate Docker container on the same server, install the required nodes, and then build and host my workflows.

Installing n8n

Self-hosting n8n could not be easier. I followed n8n's Docker-Compose installation docs–

• Install Docker and Docker-Compose if you haven't already,
• Create your docker-compose.yml and .env files from the docs,
• Create your data folder sudo docker volume create n8n_data,
• Start your container with sudo docker compose up -d,
• Your n8n instance should be online at port 5678.

n8n is free to self-host but does require a license. Enter your credentials into n8n to get your free license key. You should now have access to the Workflow dashboard and can create and host any kind of workflows from there.

Installing Nostrobots

To integrate n8n nicely with Nostr, I used the Nostrobots community node by Ocknamo.

In n8n parlance a "node" enables certain functionality as a step in a workflow e.g. a "set" node sets a variable, a "send email" node sends an email. n8n comes with all kinds of "official" nodes installed by default, and Nostr is not amongst them. However, n8n also comes with a framework for community members to create their own "community" nodes, which is where Nostrobots comes in.

You can only use a community node in a self-hosted n8n instance (which is what you have if you are running in Docker on your own server, but this limitation does prevent you from using n8n's own hosted alternative).

To install a community node, see n8n community node docs. From your workflow dashboard–

• Click the "..." in the bottom left corner beside your username, and click "settings",
• Cilck "community nodes" left sidebar,
• Click "Install",
• Enter the "npm Package Name" which is n8n-nodes-nostrobots,
• Accept the risks and click "Install",
• Nostrobots is now added to your n8n instance.

Using Nostrobots

Nostrobots gives you nodes to help you build Nostr-integrated workflows–

• Nostr Write – for posting Notes to the Nostr network,
• Nostr Read – for reading Notes from the Nostr network, and
• Nostr Utils – for performing certain conversions you may need (e.g. from bech32 to hex).

Nostrobots has good documentation on each node which focuses on simple use cases.

Each node has a "convenience mode" by default. For example, the "Read" Node by default will fetch Kind 1 notes by a simple filter, in Nostrobots parlance a "Strategy". For example, with Strategy set to "Mention" the node will accept a pubkey and fetch all Kind 1 notes that Mention the pubkey within a time period. This is very good for quick use.

What wasn't clear to me initially (until Ocknamo helped me out) is that advanced use cases are also possible.

Each node also has an advanced mode. For example, the "Read" Node can have "Strategy" set to "RawFilter(advanced)". Now the node will accept json (anything you like that complies with NIP-01). You can use this to query Notes (Kind 1) as above, and also Profiles (Kind 0), Follow Lists (Kind 3), Reactions (Kind 7), Zaps (Kind 9734/9735), and anything else you can think of.

Creating and adding workflows

With n8n and Nostrobots installed, you can now create or add any kind of Nostr Workflow Automation.

• Click "Add workflow" to go to the workflow builder screen,
• If you would like to build your own workflow, you can start with adding any node. Click "+" and see what is available. Type "Nostr" to explore the Nostrobots nodes you have added,
• If you would like to add workflows that someone else has built, click "..." in the top right. Then click "import from URL" and paste in the URL of any workflow you would like to use (including the ones I share later in this article).

Nostr Workflow Automations

It's time to build some things!

A simple form to post a note to Nostr

I started very simply. I needed to delegate the ability to post to Npubs that I own in order that a (future) team can test things for me. I don't want to worry about managing or training those people on how to use keys, and I want to revoke access easily.

I needed a basic form with credentials that posted a Note.

For this I can use a very simple workflow–

• A n8n Form node – Creates a form for users to enter the note they wish to post. Allows for the form to be protected by a username and password. This node is the workflow "trigger" so that the workflow runs each time the form is submitted.
• A Set node – Allows me to set some variables, in this case I set the relays that I intend to use. I typically add a Set node immediately following the trigger node, and put all the variables I need in this. It helps to make the workflows easier to update and maintain.
• A Nostr Write node (from Nostrobots) – Writes a Kind-1 note to the Nostr network. It accepts Nostr credentials, the output of the Form node, and the relays from the Set node, and posts the Note to those relays.

Once the workflow is built, you can test it with the testing form URL, and set it to "Active" to use the production form URL. That's it. You can now give posting access to anyone for any Npub. To revoke access, simply change the credentials or set to workflow to "Inactive".

It may also be the world's simplest Nostr client.

You can find the Nostr Form to Post a Note workflow here.

Push notifications on mentions and new notes

One of the things Nostr is not very good at is push notifications. Furthermore I have some unique itches to scratch. I want–

• To make sure I never miss a note addressed to any of my Npubs – For this I want a push notification any time any Nostr user mentions any of my Npubs,
• To make sure I always see all notes from key accounts – For this I need a push notification any time any of my Npubs post any Notes to the network,
• To get these notifications on all of my devices – Not just my phone where my Nostr regular client lives, but also on each of my laptops to suit wherever I am working that day.

I needed to build a Nostr push notifications solution.

To build this workflow I had to string a few ideas together–

• Triggering the node on a schedule – Nostrobots does not include a trigger node. As every workflow starts with a trigger we needed a different method. I elected to run the workflow on a schedule of every 10-minutes. Frequent enough to see Notes while they are hot, but infrequent enough to not burden public relays or get rate-limited,
• Storing a list of Npubs in a Nostr list – I needed a way to store the list of Npubs that trigger my notifications. I initially used an array defined in the workflow, this worked fine. Then I decided to try Nostr lists (NIP-51, kind 30000). By defining my list of Npubs as a list published to Nostr I can control my list from within a Nostr client (e.g. Listr.lol or Nostrudel.ninja). Not only does this "just work", but because it's based on Nostr lists automagically Amethyst client allows me to browse that list as a Feed, and everyone I add gets notified in their Mentions,
• Using specific relays – I needed to query the right relays, including my own HAVEN relay inbox for notes addressed to me, and wss://purplepag.es for Nostr profile metadata,
• Querying Nostr events (with Nostrobots) – I needed to make use of many different Nostr queries and use quite a wide range of what Nostrobots can do–
  • I read the EventID of my Kind 30000 list, to return the desired pubkeys,
  • For notifications on mentions, I read all Kind 1 notes that mention that pubkey,
  • For notifications on new notes, I read all Kind 1 notes published by that pubkey,
  • Where there are notes, I read the Kind 0 profile metadata event of that pubkey to get the displayName of the relevant Npub,
  • I transform the EventID into a Nevent to help clients find it.
• Using the Nostr URI – As I did with my NFC card article, I created a link with the nostr: URI prefix so that my phone's native client opens the link by default,
• Push notifications solution – I needed a push notifications solution. I found many with n8n integrations and chose to go with Pushover which supports all my devices, has a free trial, and is unfairly cheap with a $5-per-device perpetual license.

Once the workflow was built, lists published, and Pushover installed on my phone, I was fully set up with push notifications on Nostr. I have used these workflows for several weeks now and made various tweaks as I went. They are feeling robust and I'd welcome you to give them a go.

You can find the Nostr Push Notification If Mentioned here and If Posts a Note here.

In speaking with other Nostr users while I was building this, there are all kind of other needs for push notifications too – like on replies to a certain bookmarked note, or when a followed Npub starts streaming on zap.stream. These are all possible.

Use my workflows

I have open sourced all my workflows at my Github with MIT license and tried to write complete docs, so that you can import them into your n8n and configure them for your own use.

To import any of my workflows–

• Click on the workflow of your choice, e.g. "Nostr_Push_Notify_If_Mentioned.json",
• Click on the "raw" button to view the raw JSON, ex any Github page layout,
• Copy that URL,
• Enter that URL in the "import from URL" dialog mentioned above.

To configure them–

• Prerequisites, credentials, and variables are all stated,
• In general any variables required are entered into a Set Node that follows the trigger node,
• Pushover has some extra setup but is very straightforward and documented in the workflow.

What next?

Over my first four blogs I explored creating a good Nostr setup with Vanity Npub, Lightning Payments, Nostr Addresses at Your Domain, and Personal Nostr Relay.

Then in my latest two blogs I explored different types of interoperability with NFC cards and now n8n Workflow Automation.

Thinking ahead n8n can power any kind of interoperability between Nostr and any other legacy technology solution. On my mind as I write this:

• Further enhancements to posting and delegating solutions and forms (enhanced UI or different note kinds),
• Automated or scheduled posting (such as auto-liking everything Lyn Alden posts),
• Further enhancements to push notifications, on new and different types of events (such as notifying me when I get a new follower, on replies to certain posts, or when a user starts streaming),
• All kinds of bridges, such as bridging notes to and from Telegram, Slack, or Campfire. Or bridging RSS or other event feeds to Nostr,
• All kinds of other automation (such as BlackCoffee controlling a coffee machine),
• All kinds of AI Assistants and Agents,

In fact I have already released an open source workflow for an AI Assistant, and will share more about that in my next blog.

Please be sure to let me know if you think there's another Nostr topic you'd like to see me tackle.

GM Nostr.

@ 7b3f7803:8912e968

Libertarians believe in open borders in theory. In practice, open borders don't work, because, among other things, the combination with a welfare state creates a moral hazard, and the least productive of society end up within the borders of welfare states and drain resources. The social services are paid by the productive people of the country or, in the case of most fiat systems, by currency holders through inflation. Welfare states are much more likely under fiat money and the redistribution goes from native taxpayers to illegal immigrants. Thus, under fiat money, open borders end up being an open wound by which the productive lifeblood of the country bleeds out, despite the theoretical trade-efficiency benefits. As libertarians like to say, open borders and the welfare state don't mix. In this article, we'll examine the other sacred cow of libertarian thought: free trade.

Free Trade without Libertarian Ideals

Free trade is very similar to free movement of labor in that it works great in theory, but not in practice, especially under fiat money. In a libertarian free-market world, free trade works. But that assumes a whole host of libertarian ideals like sound money, non-interfering governments, and minimal aggression. Once those ideals are violated, such as with government intervention in the market, similar moral hazards and long-term costs come with them, making free trade about as libertarian as a fractional reserve bank.

An example will illustrate what I'm talking about. Let's say Portugal subsidizes their wine for export to other countries. The obvious first-order effect is that it makes Portuguese wine cheaper in France, perhaps undercutting the price of French wine. Libertarians would say, that's great! French customers get cheaper goods, so what's the problem?

As with any government intervention, there are significant second- and third-order effects in play. Subsidization puts unsubsidized companies at risk, perhaps driving them to bankruptcy. In this case, this might be a French wine maker. Subsidized companies may become zombies instead of dying out. In this case, this might be a Portuguese wine maker that was failing domestically but survives by selling to customers abroad with government subsidies. While French customers benefit in the short run with cheaper prices for wine, they are ultimately hurt because the goods that would have existed without government intervention never come to market. Perhaps French wine makers that went bankrupt were innovating. Perhaps the resources of the zombie Portuguese wine maker would have created something better.

Further, the dependency of French people on Portuguese wine means that something going wrong in Portugal, like a war or subsidy cuts, disrupts the supply and price of wine for France. Now France must meddle in Portugal internationally if it doesn't want the wine supply to get disrupted. The two countries get entangled in such a way as to become more interventionist internationally. A war involving Portugal now suddenly becomes France's business and incentivizes military aid or even violence. As usual, the unseen effects of government policy are the most pernicious.

Not Really Free

In other words, what we call free trade isn't really free trade. A country exporting to the US may subsidize their products through government intervention, making the product cheaper in the US. This hurts US companies, and they’re forced into choices they never would have had to face without the foreign government intervention. But because the good is crossing borders under the rubric of "free trade," it's somehow seen as fair. Of course it's not, as government intervention distorts the market whether it's done by our own government or a foreign government.

So why would a foreign government do this? It gets several benefits through targeted market manipulation. First, it makes its own companies' products more popular abroad and conversely, makes US companies' products less popular. This has the dual benefit of growing the foreign government’s firms and shrinking, perhaps bankrupting, the US ones.

Targeted subsidization like this can lead to domination under free trade. It's not unlike the Amazon strategy of undercutting everyone first and using the monopoly pricing power at scale once everyone else has bankrupted. The global monopoly is tremendously beneficial to the country that has it. Not only is there significant tax revenue over the long term, but also a head start on innovations within that industry and an advantage in production in the adjacent industries around the product.

Second, the manufacturing centralization gives that country leverage geo-politically. A critical product that no one else manufactures means natural alliances with the countries that depend on the product, which is especially useful for smaller countries like Taiwan. Their chip manufacturing industry, holding 60% of global supply (2024), has meant that they're a critical link for most other countries, and hence, they can use this fact to deter Chinese invasion.

Third, because of the centralization of expertise, more innovations, products, and manufacturing will tend to come within the country. This increased production has cascading benefits, including new industries and national security. China leads the world in drone technology, which undoubtedly has given it an innovation advantage for its military, should it go to war.

Fourth, the capital that flows into the country for investing in the monopolized industry will tend to stay, giving the country more wealth in the form of factories, equipment, and skills. While that capital may nominally be in the hands of foreigners, over time, the ownership of that industry will inevitably transition toward native locals, as the knowledge about how to run such industries gets dissipated within the country.

[Image: Map showing “China Drone Tech” and “Taiwan Chips” hubs, with arrows of capital flow staying local]

Currency Devaluation: The Universal Trade Weapon

It would be one thing if only a specific industry were singled out for government subsidies and then the products dumped into the US as a way to hurt US companies, as that would limit the scope of the damage. But with currency devaluation, a government can subsidize all of its exports at the same time. Indeed, this is something that many countries do. While short-term, this helps US consumers, it hurts US companies and forces them into decisions that aren't good for the US.

To compete, they have to lower costs by using the same devalued currency to pay their labor as their foreign competition. That is, by relocating their capital, their manufacturing, and even their personnel to the country that's devaluing the currency. Not only does relocating reduce labor cost, but it also often gets them benefits like tax breaks. This makes US companies de facto multinationals and not only makes them subject to other jurisdictions, but ultimately divides their loyalties. To take advantage of the reduced labor, capital must move to another country and, along with it, future innovation.

Such relocations ultimately leave the company stripped of their manufacturing capability in the US, as local competition will generally fare better over the long run. Much of the value of the industry then is captured by other governments in taxes, development, and even state-owned companies. Free trade, in other words, creates a vulnerability for domestic companies as they can be put at a significant disadvantage compared to foreign counterparts.

Hidden Effects of Foreign Intervention

Unlike the multinationals, small companies have no chance as they're not big enough to exploit the labor arbitrage. And as is usual in a fiat system, they suffer the most while the giant corporations get the benefits of the supposed "free trade". Most small companies can't compete, so we get mostly the bigger companies that survive.

The transition away from domestic manufacturing necessarily means significant disruption. Domestic workers are displaced and have to find new work. Factories and equipment either have to be repurposed or rot. Entire communities that depended on the manufacturing facility now have to figure out new ways to support themselves. It's no good telling them that they can just do something else. In a currency devaluation scenario, most of the manufacturing leaves and the jobs left are service-oriented or otherwise location-based, like real estate development. There's a natural limit to location-based industries because the market only grows with the location that you're servicing. Put another way, you can only have so many people give haircuts or deliver packages in a geographic area. There has to be some manufacturing of goods that can be sold outside the community, or the community will face scarce labor opportunities relative to the population.

You also can't say the displaced workers can start some other manufacturing business. Such businesses will get out-competed on labor by the currency-devaluing country, so there won't be much investment available for such a business, and even if there were, such a business would be competing with its hands tied behind its back. So in this scenario, what you end up with are a large pool of unemployed people whom the state subsidizes with welfare.

So when a US company leaves or goes bankrupt due to a foreign government's subsidies, the disruption alone imposes a significant short-term cost with displaced labor, unused capital goods, and devastated communities.

Mitigations

So how do countries fight back against such a devastating economic weapon? There are a few ways countries have found around this problem of currency devaluation under free trade. First, a country can prevent capital from leaving. This is called capital controls, and many countries, particularly those that manufacture a lot, have them. Try to get money, factories, or equipment out of Malaysia, for example, and you'll find that they make it quite difficult. Getting the same capital into the country, on the other hand, faces few restrictions. Unfortunately, the US can't put in capital controls because dollars are its main export. It is, after all, the reserve currency of the world.

Second, you can compete by devaluing your own currency. But that’s very difficult because it requires printing a lot of dollars, and that causes inflation. There's also no guarantee that a competing country doesn't devalue its currency again. The US is also in a precarious position as the world's reserve currency, so devaluing the currency more than it already does will make other holders of the dollar less likely to want to hold it, threatening the reserve currency status.

So the main two mitigations against currency devaluation in a free trade scenario are not available to the US. So what else is there? The remaining option is to drop free trade. The solution, in other words, is to add tariffs. This is how you can nullify the effects of foreign government intervention, by leveling the playing field for US manufacturers.

Tariffs

One major industry that's managed to continue being manufactured in the US despite significant foreign competition is cars. Notably, cars have a tariff, which incentivizes their manufacture in the US, even for foreign car makers. The tariff has acted as a way to offset foreign government subsidies and currency debasement.

The scope of this one industry for the US is huge. There are around 300,000 direct jobs in auto assembly within the US (USTR) and there are an additional 3 million jobs supplying these manufacturers within the US. But the benefits don't end there. The US is also creating a lot of innovation around cars, such as self-driving and plug-in electric cars. There are many countries that would love to have this industry for themselves, but because of tariffs, auto manufacturing continues in the US.

And though tariffs are seen as a tax on consumers, US car prices are cheap relative to the rest of the world. What surprises a lot of people when they move from the US to other countries is finding out that the same car often costs more abroad (e.g. 25% tariffs keep U.S. prices 20% below Europe’s $40K average, 2024). The downside of tariffs pales next to the downsides of "free trade."

Free Trade Doesn’t Work with Fiat Money

The sad reality is that while we would love for free trade to work in the ideal libertarian paradise, it won't in our current fiat-based system. The subsidization by foreign governments to bankrupt US companies or to make them multinational, combined with the unfortunate reality of the US dollar being the world reserve currency, means that free trade guts the US of manufacturing. Tariffs are a reasonable way to protect US manufacturers, particularly smaller ones that can't go multinational.

What's more, tariffs make the US less fragile and less dependent on international supply chains. Many of the wars in the past 60 years have been waged because of the entanglements the US has with other countries due to the reliance on international supply chains. Lessening this dependency, if only to prevent a war, has clear value.

Lastly, labor has been devalued significantly by fiat monetary expansion, but at least some of that can be recovered if tariffs create more manufacturing, which in turn adds to the demand for labor. This should reduce the welfare state as more opportunities are made available and fewer unemployed people will be on the rolls.

Conclusion

Fiat money produces a welfare state, which makes open borders unworkable. Fiat money also gives foreign governments a potent economic weapon to use against US companies, and by extension the labor force that powers them. Though currency debasement and capital controls are available to other countries as a defense, for the US, neither of these tools is available due to the fact that the dollar is the world reserve currency. As such, tariffs are a reasonable defense against the fiat subsidization of foreign governments.

@ f9cf4e94:96abc355

Scuttlebutt foi iniciado em maio de 2014 por Dominic Tarr ( dominictarr ) como uma rede social alternativa off-line, primeiro para convidados, que permite aos usuários obter controle total de seus dados e privacidade. Secure Scuttlebutt (ssb) foi lançado pouco depois, o que coloca a privacidade em primeiro plano com mais recursos de criptografia.

Se você está se perguntando de onde diabos veio o nome Scuttlebutt:

Este termo do século 19 para uma fofoca vem do Scuttlebutt náutico: “um barril de água mantido no convés, com um buraco para uma xícara”. A gíria náutica vai desde o hábito dos marinheiros de se reunir pelo boato até a fofoca, semelhante à fofoca do bebedouro.

Marinheiros se reunindo em torno da rixa. ( fonte )

Dominic descobriu o termo boato em um artigo de pesquisa que leu.

Em sistemas distribuídos, fofocar é um processo de retransmissão de mensagens ponto a ponto; as mensagens são disseminadas de forma análoga ao “boca a boca”.

Secure Scuttlebutt é um banco de dados de feeds imutáveis apenas para acréscimos, otimizado para replicação eficiente para protocolos ponto a ponto. Cada usuário tem um log imutável somente para acréscimos no qual eles podem gravar. Eles gravam no log assinando mensagens com sua chave privada. Pense em um feed de usuário como seu próprio diário de bordo, como um diário de bordo (ou diário do capitão para os fãs de Star Trek), onde eles são os únicos autorizados a escrever nele, mas têm a capacidade de permitir que outros amigos ou colegas leiam ao seu diário de bordo, se assim o desejarem.

Cada mensagem possui um número de sequência e a mensagem também deve fazer referência à mensagem anterior por seu ID. O ID é um hash da mensagem e da assinatura. A estrutura de dados é semelhante à de uma lista vinculada. É essencialmente um log somente de acréscimo de JSON assinado. Cada item adicionado a um log do usuário é chamado de mensagem.

Os logs do usuário são conhecidos como feed e um usuário pode seguir os feeds de outros usuários para receber suas atualizações. Cada usuário é responsável por armazenar seu próprio feed. Quando Alice assina o feed de Bob, Bob baixa o log de feed de Alice. Bob pode verificar se o registro do feed realmente pertence a Alice verificando as assinaturas. Bob pode verificar as assinaturas usando a chave pública de Alice.

Estrutura de alto nível de um feed

Pubs são servidores de retransmissão conhecidos como “super peers”. Pubs conectam usuários usuários e atualizações de fofocas a outros usuários conectados ao Pub. Um Pub é análogo a um pub da vida real, onde as pessoas vão para se encontrar e se socializar. Para ingressar em um Pub, o usuário deve ser convidado primeiro. Um usuário pode solicitar um código de convite de um Pub; o Pub simplesmente gerará um novo código de convite, mas alguns Pubs podem exigir verificação adicional na forma de verificação de e-mail ou, com alguns Pubs, você deve pedir um código em um fórum público ou chat. Pubs também podem mapear aliases de usuário, como e-mails ou nome de usuário, para IDs de chave pública para facilitar os pares de referência.

Depois que o Pub enviar o código de convite ao usuário, o usuário resgatará o código, o que significa que o Pub seguirá o usuário, o que permite que o usuário veja as mensagens postadas por outros membros do Pub, bem como as mensagens de retransmissão do Pub pelo usuário a outros membros do Pub.

Além de retransmitir mensagens entre pares, os Pubs também podem armazenar as mensagens. Se Alice estiver offline e Bob transmitir atualizações de feed, Alice perderá a atualização. Se Alice ficar online, mas Bob estiver offline, não haverá como ela buscar o feed de Bob. Mas com um Pub, Alice pode buscar o feed no Pub mesmo se Bob estiver off-line porque o Pub está armazenando as mensagens. Pubs são úteis porque assim que um colega fica online, ele pode sincronizar com o Pub para receber os feeds de seus amigos potencialmente offline.

Um usuário pode, opcionalmente, executar seu próprio servidor Pub e abri-lo ao público ou permitir que apenas seus amigos participem, se assim o desejarem. Eles também podem ingressar em um Pub público. Aqui está uma lista de Pubs públicos em que todos podem participar . Explicaremos como ingressar em um posteriormente neste guia. Uma coisa importante a observar é que o Secure Scuttlebutt em uma rede social somente para convidados significa que você deve ser “puxado” para entrar nos círculos sociais. Se você responder às mensagens, os destinatários não serão notificados, a menos que estejam seguindo você de volta. O objetivo do SSB é criar “ilhas” isoladas de redes pares, ao contrário de uma rede pública onde qualquer pessoa pode enviar mensagens a qualquer pessoa.

Perspectivas dos participantes

Scuttlebot

O software Pub é conhecido como servidor Scuttlebutt (servidor ssb ), mas também é conhecido como “Scuttlebot” e sbotna linha de comando. O servidor SSB adiciona comportamento de rede ao banco de dados Scuttlebutt (SSB). Estaremos usando o Scuttlebot ao longo deste tutorial.

Os logs do usuário são conhecidos como feed e um usuário pode seguir os feeds de outros usuários para receber suas atualizações. Cada usuário é responsável por armazenar seu próprio feed. Quando Alice assina o feed de Bob, Bob baixa o log de feed de Alice. Bob pode verificar se o registro do feed realmente pertence a Alice verificando as assinaturas. Bob pode verificar as assinaturas usando a chave pública de Alice.

Estrutura de alto nível de um feed

Pubs são servidores de retransmissão conhecidos como “super peers”. Pubs conectam usuários usuários e atualizações de fofocas a outros usuários conectados ao Pub. Um Pub é análogo a um pub da vida real, onde as pessoas vão para se encontrar e se socializar. Para ingressar em um Pub, o usuário deve ser convidado primeiro. Um usuário pode solicitar um código de convite de um Pub; o Pub simplesmente gerará um novo código de convite, mas alguns Pubs podem exigir verificação adicional na forma de verificação de e-mail ou, com alguns Pubs, você deve pedir um código em um fórum público ou chat. Pubs também podem mapear aliases de usuário, como e-mails ou nome de usuário, para IDs de chave pública para facilitar os pares de referência.

Depois que o Pub enviar o código de convite ao usuário, o usuário resgatará o código, o que significa que o Pub seguirá o usuário, o que permite que o usuário veja as mensagens postadas por outros membros do Pub, bem como as mensagens de retransmissão do Pub pelo usuário a outros membros do Pub.

Além de retransmitir mensagens entre pares, os Pubs também podem armazenar as mensagens. Se Alice estiver offline e Bob transmitir atualizações de feed, Alice perderá a atualização. Se Alice ficar online, mas Bob estiver offline, não haverá como ela buscar o feed de Bob. Mas com um Pub, Alice pode buscar o feed no Pub mesmo se Bob estiver off-line porque o Pub está armazenando as mensagens. Pubs são úteis porque assim que um colega fica online, ele pode sincronizar com o Pub para receber os feeds de seus amigos potencialmente offline.

Um usuário pode, opcionalmente, executar seu próprio servidor Pub e abri-lo ao público ou permitir que apenas seus amigos participem, se assim o desejarem. Eles também podem ingressar em um Pub público. Aqui está uma lista de Pubs públicos em que todos podem participar . Explicaremos como ingressar em um posteriormente neste guia. Uma coisa importante a observar é que o Secure Scuttlebutt em uma rede social somente para convidados significa que você deve ser “puxado” para entrar nos círculos sociais. Se você responder às mensagens, os destinatários não serão notificados, a menos que estejam seguindo você de volta. O objetivo do SSB é criar “ilhas” isoladas de redes pares, ao contrário de uma rede pública onde qualquer pessoa pode enviar mensagens a qualquer pessoa.

Perspectivas dos participantes

Pubs - Hubs

Pubs públicos

| Pub Name | Operator | Invite Code | | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ | | scuttle.us | @Ryan | scuttle.us:8008:@WqcuCOIpLtXFRw/9vOAQJti8avTZ9vxT9rKrPo8qG6o=.ed25519~/ZUi9Chpl0g1kuWSrmehq2EwMQeV0Pd+8xw8XhWuhLE= | | pub1.upsocial.com | @freedomrules | pub1.upsocial.com:8008:@gjlNF5Cyw3OKZxEoEpsVhT5Xv3HZutVfKBppmu42MkI=.ed25519~lMd6f4nnmBZEZSavAl4uahl+feajLUGqu8s2qdoTLi8= | | Monero Pub | @Denis | xmr-pub.net:8008:@5hTpvduvbDyMLN2IdzDKa7nx7PSem9co3RsOmZoyyCM=.ed25519~vQU+r2HUd6JxPENSinUWdfqrJLlOqXiCbzHoML9iVN4= | | FreeSocial | @Jarland | pub.freesocial.co:8008:@ofYKOy2p9wsaxV73GqgOyh6C6nRGFM5FyciQyxwBd6A=.ed25519~ye9Z808S3KPQsV0MWr1HL0/Sh8boSEwW+ZK+8x85u9w= | | ssb.vpn.net.br | @coffeverton | ssb.vpn.net.br:8008:@ze8nZPcf4sbdULvknEFOCbVZtdp7VRsB95nhNw6/2YQ=.ed25519~D0blTolH3YoTwSAkY5xhNw8jAOjgoNXL/+8ZClzr0io= | | gossip.noisebridge.info | Noisebridge Hackerspace @james.network | gossip.noisebridge.info:8008:@2NANnQVdsoqk0XPiJG2oMZqaEpTeoGrxOHJkLIqs7eY=.ed25519~JWTC6+rPYPW5b5zCion0gqjcJs35h6JKpUrQoAKWgJ4= |

Pubs privados

Você precisará entrar em contato com os proprietários desses bares para receber um convite.

| Pub Name | Operator | Contact | | --------------------------------------------- | ------------------------------------------------------------ | ----------------------------------------------- | | many.butt.nz | @dinosaur | mikey@enspiral.com | | one.butt.nz | @dinosaur | mikey@enspiral.com | | ssb.mikey.nz | @dinosaur | mikey@enspiral.com | | ssb.celehner.com | @cel | cel@celehner.com |

Pubs muito grandes

Aviso: embora tecnicamente funcione usar um convite para esses pubs, você provavelmente se divertirá se o fizer devido ao seu tamanho (muitas coisas para baixar, risco para bots / spammers / idiotas)

| Pub Name | Operator | Invite Code | | --------------------------------------- | ----------------------------------------------- | ------------------------------------------------------------ | | scuttlebutt.de | SolSoCoG | scuttlebutt.de:8008:@yeh/GKxlfhlYXSdgU7CRLxm58GC42za3tDuC4NJld/k=.ed25519~iyaCpZ0co863K9aF+b7j8BnnHfwY65dGeX6Dh2nXs3c= | | Lohn's Pub | @lohn | p.lohn.in:8018:@LohnKVll9HdLI3AndEc4zwGtfdF/J7xC7PW9B/JpI4U=.ed25519~z3m4ttJdI4InHkCtchxTu26kKqOfKk4woBb1TtPeA/s= | | Scuttle Space | @guil-dot | Visit scuttle.space | | SSB PeerNet US-East | timjrobinson | us-east.ssbpeer.net:8008:@sTO03jpVivj65BEAJMhlwtHXsWdLd9fLwyKAT1qAkc0=.ed25519~sXFc5taUA7dpGTJITZVDCRy2A9jmkVttsr107+ufInU= | | Hermies | s | net:hermies.club:8008~shs:uMYDVPuEKftL4SzpRGVyQxLdyPkOiX7njit7+qT/7IQ=:SSB+Room+PSK3TLYC2T86EHQCUHBUHASCASE18JBV24= |

GUI - Interface Gráfica do Utilizador(Usuário)

Patchwork - Uma GUI SSB (Descontinuado)

Patchwork é o aplicativo de mensagens e compartilhamento descentralizado construído em cima do SSB . O protocolo scuttlebutt em si não mantém um conjunto de feeds nos quais um usuário está interessado, então um cliente é necessário para manter uma lista de feeds de pares em que seu respectivo usuário está interessado e seguindo.

Fonte: scuttlebutt.nz

Quando você instala e executa o Patchwork, você só pode ver e se comunicar com seus pares em sua rede local. Para acessar fora de sua LAN, você precisa se conectar a um Pub. Um pub é apenas para convidados e eles retransmitem mensagens entre você e seus pares fora de sua LAN e entre outros Pubs.

Lembre-se de que você precisa seguir alguém para receber mensagens dessa pessoa. Isso reduz o envio de mensagens de spam para os usuários. Os usuários só veem as respostas das pessoas que seguem. Os dados são sincronizados no disco para funcionar offline, mas podem ser sincronizados diretamente com os pares na sua LAN por wi-fi ou bluetooth.

Patchbay - Uma GUI Alternativa

Patchbay é um cliente de fofoca projetado para ser fácil de modificar e estender. Ele usa o mesmo banco de dados que Patchwork e Patchfoo , então você pode facilmente dar uma volta com sua identidade existente.

Planetary - GUI para IOS

Planetary é um app com pubs pré-carregados para facilitar integração.

Manyverse - GUI para Android

Manyverse é um aplicativo de rede social com recursos que você esperaria: posts, curtidas, perfis, mensagens privadas, etc. Mas não está sendo executado na nuvem de propriedade de uma empresa, em vez disso, as postagens de seus amigos e todos os seus dados sociais vivem inteiramente em seu telefone .

Fontes

• https://scuttlebot.io/

• https://decentralized-id.com/decentralized-web/scuttlebot/#plugins

• https://medium.com/@miguelmota/getting-started-with-secure-scuttlebut-e6b7d4c5ecfd

• Secure Scuttlebutt : um protocolo de banco de dados global.

@ 9e69e420:d12360c2

President Trump has intensified immigration enforcement, likening it to a wartime effort. Despite pouring resources into the U.S. Immigration and Customs Enforcement (ICE), arrest numbers are declining and falling short of goals. ICE fell from about 800 daily arrests in late January to fewer than 600 in early February.

Critics argue the administration is merely showcasing efforts with ineffectiveness, while Trump seeks billions more in funding to support his deportation agenda. Increased involvement from various federal agencies is intended to assist ICE, but many lack specific immigration training.

Challenges persist, as fewer immigrants are available for quick deportation due to a decline in illegal crossings. Local sheriffs are also pressured by rising demands to accommodate immigrants, which may strain resources further.

@ df478568:2a951e67

I began using/testing Cashu over 105,120 blocks ago when @NVK said "Cashu is very interesting.".

The first time I swapped sweet cipher-text to sats, it was too new new and novel to digest. Someone sent me cashu over nostr, straight to my npub. I copy pasta-ed it into my minibits wallet and recieved 10 sats. In retrospect, I would compare it to gold backed paper currency. Over a century ago, paper USD was a coupon for gold, "redeemable in gold on demand at the United States Treasury, or in gold for lawful money at any federal reserve bank.

In the analog days of the early 20th century a bean-counter at a Federal Reserve bank would give you approximately 5 ounces of gold for an analog bored ape, Ben Franklin. Cashu is an NFT without the jpeg and the innate ability to be redeemed for bitcoin over the lightning network. I've heard NVK describe it as "an honest shitcoin" and I like this framing. The rug-pull risk is greater than zero, but less than the rug-pull risk of Wallet of Satoshi with the added benefit of generational wealth.

This means we can abstract bitcoin value into something that looks like this.

cashuBpGFteCJodHRwczovL21pbnQubWluaWJpdHMuY2FzaC9CaXRjb2luYXVjc2F0YXSBomFpSABQBVDwSUFGYXCCpGFhAmFzeEBkMzM2Mjk1OTZhNTVkODcyNWFjOGI3MDQyNjM5MjQ0OTU4YmJlMjVkYmFhYzIyY2E5Y2M2NTMyNTM1OWFiZDI2YWNYIQNOrrDCFnYa3sMJxpr02o8Bg5AfibjqIOTmiktqYkABKWFko2FlWCBdC0gEM2j5YE4_xMGyuvLHIufqx7zzp6TNJAeJiB6_WmFzWCDRMyyGRmJPYmwB3u8kB7fyBlvRm69hC2DfkyY5Mizd-WFyWCB_88znXGBc_GgRngr9m1nEYAJEDUkQiQLT1e6R9_Un_aRhYQhhc3hANjVkYWQyM2ExNjQyNTYzMDU5OGRmMTdiNDc0YWQ0YzdhMjNhMmFiZjUwNjEzYTdjOTI4NzllMDllZTg5ODcxZWFjWCECoRg-ub_wReP4T6A0UuwqS36Iw6Ton4U5j6IJrLYjKCxhZKNhZVggmXDv_na1XQU3ESYq147mIyDyQm5mgsnkl7HxBbVmXv9hc1ggIbKkVVdG06hBgAvWBhoFo8T-V6MjNzxUGNaGjQjU2e5hclggAJp2vzdgwmehnhwmmFQsZ_BNTb8Aqz_ItwOx0iLQ9NlhZHgtQ29uZ3JhdHVsYXRpb25zIGZvciBjbGFpbWluZyB0aGlzIGVjYXNoIGZpcnN0

The lightning network is cool, but requires the reciever to have a wallet. Many Americans began using nostr when Wallet of Satoshi was available to them. They disappeared like a magiian once Wallet of Satoshi was removed from the app stores. To be fair, it still works. Last I checked, sats from wallet of satoshi can still be received and spent from US based IP addresses, but non-technical noobs can no longer download it from app stores designed for the neuro-typical.

I sprinkled a little e cash in a few Substack articles, but few people know what it is. These things takes time. Maybe it's too early. Maybe, just maybe, we can make paper cash great again.

Is it a long shot? Sure. Will I try it anyway? Hell yes!

How To Make Paper Money Great Again

The plan: Create paper products with QR codes that have Cashu. Think tip cards or birtday cards designed to hold cash. You can choose your mint on Mibibits or Macadamia depending on your pnone. This is not bitcoin for posterity. We're talking about pocket spending money, not generational wealth.

I plan to make and sell greeting cards: HallMarc cards.😉 I draw like I'm 5, but we'll let the market decide if they prefer my Kidnergarden-style art or Ideogram. Then I'll write some cheesy words people like on greeting cards. Here's my first idea.

Happy Birthday

Stack Sats.

Okay....So it's more like a first draft, but this is a proof of concept. Cut me some slack. 😅 There's still a few kinks to work out, but here's the prototype.

Set Up Shop With A Free And Open Source Version

I will add these cards to my merch shop. I can add 1,000 sats, maybe some custom amounts, but I'll also open source them. I like to give cards that pay bitcoin to kids in my family. If I open source this, maybe more people will be willing to give the kids in their family sats. It only costs card stock paper, ink, and the sats you give away.

If you're like me, your family knows your a bitcoin dork anyway. We might as well show them it's not just an investment. It's money we can give them they can either save or spend.

We should mention it's better to save bitcoin. That's what stacking sats means. That will be my second draft.

Happy Birthday.

Save as much bitcoin as you can.

Npub1marc26z8nh3xkj5rcx7ufkatvx6ueqhp5vfw9v5teq26z254renshtf3g0

https://mempool.marc26z.com/block/000000000000000000001567ce65dab25358bcae86c2c573984888eb08948b65

https://marc26z.com/merch/

@ e97aaffa:2ebd765d

Último dia do ano, momento para tirar o pó da bola de cristal, para fazer reflexões, previsões e desejos para o próximo ano e seguintes.

Ano após ano, o Bitcoin evoluiu, foi ultrapassando etapas, tornou-se cada vez mais mainstream. Está cada vez mais difícil fazer previsões sobre o Bitcoin, já faltam poucas barreiras a serem ultrapassadas e as que faltam são altamente complexas ou tem um impacto profundo no sistema financeiro ou na sociedade. Estas alterações profundas tem que ser realizadas lentamente, porque uma alteração rápida poderia resultar em consequências terríveis, poderia provocar um retrocesso.

Código do Bitcoin

No final de 2025, possivelmente vamos ter um fork, as discussões sobre os covenants já estão avançadas, vão acelerar ainda mais. Já existe um consenso relativamente alto, a favor dos covenants, só falta decidir que modelo será escolhido. Penso que até ao final do ano será tudo decidido.

Depois dos covenants, o próximo foco será para a criptografia post-quantum, que será o maior desafio que o Bitcoin enfrenta. Criar uma criptografia segura e que não coloque a descentralização em causa.

Espero muito de Ark, possivelmente a inovação do ano, gostaria de ver o Nostr a furar a bolha bitcoinheira e que o Cashu tivesse mais reconhecimento pelos bitcoiners.

Espero que surjam avanços significativos no BitVM2 e BitVMX.

Não sei o que esperar das layer 2 de Bitcoin, foram a maior desilusão de 2024. Surgiram com muita força, mas pouca coisa saiu do papel, foi uma mão cheia de nada. Uma parte dos projetos caiu na tentação da shitcoinagem, na criação de tokens, que tem um único objetivo, enriquecer os devs e os VCs.

Se querem ser levados a sério, têm que ser sérios.

“À mulher de César não basta ser honesta, deve parecer honesta”

Se querem ter o apoio dos bitcoiners, sigam o ethos do Bitcoin.

Neste ponto a atitude do pessoal da Ark é exemplar, em vez de andar a chorar no Twitter para mudar o código do Bitcoin, eles colocaram as mãos na massa e criaram o protocolo. É claro que agora está meio “coxo”, funciona com uma multisig ou com os covenants na Liquid. Mas eles estão a criar um produto, vão demonstrar ao mercado que o produto é bom e útil. Com a adoção, a comunidade vai perceber que o Ark necessita dos covenants para melhorar a interoperabilidade e a soberania.

É este o pensamento certo, que deveria ser seguido pelos restantes e futuros projetos. É seguir aquele pensamento do J.F. Kennedy:

“Não perguntem o que é que o vosso país pode fazer por vocês, perguntem o que é que vocês podem fazer pelo vosso país”

Ou seja, não fiquem à espera que o bitcoin mude, criem primeiro as inovações/tecnologia, ganhem adoção e depois demonstrem que a alteração do código camada base pode melhorar ainda mais o vosso projeto. A necessidade é que vai levar a atualização do código.

Reservas Estratégicas de Bitcoin

Bancos centrais

Com a eleição de Trump, emergiu a ideia de uma Reserva Estratégia de Bitcoin, tornou este conceito mainstream. Foi um pivot, a partir desse momento, foram enumerados os políticos de todo o mundo a falar sobre o assunto.

A Senadora Cynthia Lummis foi mais além e propôs um programa para adicionar 200 mil bitcoins à reserva ao ano, até 1 milhão de Bitcoin. Só que isto está a criar uma enorme expectativa na comunidade, só que pode resultar numa enorme desilusão. Porque no primeiro ano, o Trump em vez de comprar os 200 mil, pode apenas adicionar na reserva, os 198 mil que o Estado já tem em sua posse. Se isto acontecer, possivelmente vai resultar numa forte queda a curto prazo. Na minha opinião os bancos centrais deveriam seguir o exemplo de El Salvador, fazer um DCA diário.

Mais que comprar bitcoin, para mim, o mais importante é a criação da Reserva, é colocar o Bitcoin ao mesmo nível do ouro, o impacto para o resto do mundo será tremendo, a teoria dos jogos na sua plenitude. Muitos outros bancos centrais vão ter que comprar, para não ficarem atrás, além disso, vai transmitir uma mensagem à generalidade da população, que o Bitcoin é “afinal é algo seguro, com valor”.

Mas não foi Trump que iniciou esta teoria dos jogos, mas sim foi a primeira vítima dela. É o próprio Trump que o admite, que os EUA necessitam da reserva para não ficar atrás da China. Além disso, desde que os EUA utilizaram o dólar como uma arma, com sanção contra a Rússia, surgiram boatos de que a Rússia estaria a utilizar o Bitcoin para transações internacionais. Que foram confirmados recentemente, pelo próprio governo russo. Também há poucos dias, ainda antes deste reconhecimento público, Putin elogiou o Bitcoin, ao reconhecer que “Ninguém pode proibir o bitcoin”, defendendo como uma alternativa ao dólar. A narrativa está a mudar.

Já existem alguns países com Bitcoin, mas apenas dois o fizeram conscientemente (El Salvador e Butão), os restantes têm devido a apreensões. Hoje são poucos, mas 2025 será o início de uma corrida pelos bancos centrais. Esta corrida era algo previsível, o que eu não esperava é que acontecesse tão rápido.

Empresas

A criação de reservas estratégicas não vai ficar apenas pelos bancos centrais, também vai acelerar fortemente nas empresas em 2025.

Mas as empresas não vão seguir a estratégia do Saylor, vão comprar bitcoin sem alavancagem, utilizando apenas os tesouros das empresas, como uma proteção contra a inflação. Eu não sou grande admirador do Saylor, prefiro muito mais, uma estratégia conservadora, sem qualquer alavancagem. Penso que as empresas vão seguir a sugestão da BlackRock, que aconselha um alocações de 1% a 3%.

Penso que 2025, ainda não será o ano da entrada das 6 magníficas (excepto Tesla), será sobretudo empresas de pequena e média dimensão. As magníficas ainda tem uma cota muito elevada de shareholders com alguma idade, bastante conservadores, que têm dificuldade em compreender o Bitcoin, foi o que aconteceu recentemente com a Microsoft.

Também ainda não será em 2025, talvez 2026, a inclusão nativamente de wallet Bitcoin nos sistema da Apple Pay e da Google Pay. Seria um passo gigante para a adoção a nível mundial.

ETFs

Os ETFs para mim são uma incógnita, tenho demasiadas dúvidas, como será 2025. Este ano os inflows foram superiores a 500 mil bitcoins, o IBIT foi o lançamento de ETF mais bem sucedido da história. O sucesso dos ETFs, deve-se a 2 situações que nunca mais se vão repetir. O mercado esteve 10 anos à espera pela aprovação dos ETFs, a procura estava reprimida, isso foi bem notório nos primeiros meses, os inflows foram brutais.

Também se beneficiou por ser um mercado novo, não existia orderbook de vendas, não existia um mercado interno, praticamente era só inflows. Agora o mercado já estabilizou, a maioria das transações já são entre clientes dos próprios ETFs. Agora só uma pequena percentagem do volume das transações diárias vai resultar em inflows ou outflows.

Estes dois fenómenos nunca mais se vão repetir, eu não acredito que o número de inflows em BTC supere os número de 2024, em dólares vai superar, mas em btc não acredito que vá superar.

Mas em 2025 vão surgir uma infindável quantidade de novos produtos, derivativos, novos ETFs de cestos com outras criptos ou cestos com ativos tradicionais. O bitcoin será adicionado em produtos financeiros já existentes no mercado, as pessoas vão passar a deter bitcoin, sem o saberem.

Com o fim da operação ChokePoint 2.0, vai surgir uma nova onda de adoção e de produtos financeiros. Possivelmente vamos ver bancos tradicionais a disponibilizar produtos ou serviços de custódia aos seus clientes.

Eu adoraria ver o crescimento da adoção do bitcoin como moeda, só que a regulamentação não vai ajudar nesse processo.

Preço

Eu acredito que o topo deste ciclo será alcançado no primeiro semestre, posteriormente haverá uma correção. Mas desta vez, eu acredito que a correção será muito menor que as anteriores, inferior a 50%, esta é a minha expectativa. Espero estar certo.

Stablecoins de dólar

Agora saindo um pouco do universo do Bitcoin, acho importante destacar as stablecoins.

No último ciclo, eu tenho dividido o tempo, entre continuar a estudar o Bitcoin e estudar o sistema financeiro, as suas dinâmicas e o comportamento humano. Isto tem sido o meu foco de reflexão, imaginar a transformação que o mundo vai sofrer devido ao padrão Bitcoin. É uma ilusão acreditar que a transição de um padrão FIAT para um padrão Bitcoin vai ser rápida, vai existir um processo transitório que pode demorar décadas.

Com a re-entrada de Trump na Casa Branca, prometendo uma política altamente protecionista, vai provocar uma forte valorização do dólar, consequentemente as restantes moedas do mundo vão derreter. Provocando uma inflação generalizada, gerando uma corrida às stablecoins de dólar nos países com moedas mais fracas. Trump vai ter uma política altamente expansionista, vai exportar dólares para todo o mundo, para financiar a sua própria dívida. A desigualdade entre os pobres e ricos irá crescer fortemente, aumentando a possibilidade de conflitos e revoltas.

“Casa onde não há pão, todos ralham e ninguém tem razão”

Será mais lenha, para alimentar a fogueira, vai gravar os conflitos geopolíticos já existentes, ficando as sociedade ainda mais polarizadas.

Eu acredito que 2025, vai haver um forte crescimento na adoção das stablecoins de dólares, esse forte crescimento vai agravar o problema sistémico que são as stablecoins. Vai ser o início do fim das stablecoins, pelo menos, como nós conhecemos hoje em dia.

Problema sistémico

O sistema FIAT não nasceu de um dia para outro, foi algo que foi construído organicamente, ou seja, foi evoluindo ao longo dos anos, sempre que havia um problema/crise, eram criadas novas regras ou novas instituições para minimizar os problemas. Nestes quase 100 anos, desde os acordos de Bretton Woods, a evolução foram tantas, tornaram o sistema financeiro altamente complexo, burocrático e nada eficiente.

Na prática é um castelo de cartas construído sobre outro castelo de cartas e que por sua vez, foi construído sobre outro castelo de cartas.

As stablecoins são um problema sistémico, devido às suas reservas em dólares e o sistema financeiro não está preparado para manter isso seguro. Com o crescimento das reservas ao longo dos anos, foi se agravando o problema.

No início a Tether colocava as reservas em bancos comerciais, mas com o crescimento dos dólares sob gestão, criou um problema nos bancos comerciais, devido à reserva fracionária. Essas enormes reservas da Tether estavam a colocar em risco a própria estabilidade dos bancos.

A Tether acabou por mudar de estratégia, optou por outros ativos, preferencialmente por títulos do tesouro/obrigações dos EUA. Só que a Tether continua a crescer e não dá sinais de abrandamento, pelo contrário.

Até o próprio mundo cripto, menosprezava a gravidade do problema da Tether/stablecoins para o resto do sistema financeiro, porque o marketcap do cripto ainda é muito pequeno. É verdade que ainda é pequeno, mas a Tether não o é, está no top 20 dos maiores detentores de títulos do tesouros dos EUA e está ao nível dos maiores bancos centrais do mundo. Devido ao seu tamanho, está a preocupar os responsáveis/autoridades/reguladores dos EUA, pode colocar em causa a estabilidade do sistema financeiro global, que está assente nessas obrigações.

Os títulos do tesouro dos EUA são o colateral mais utilizado no mundo, tanto por bancos centrais, como por empresas, é a charneira da estabilidade do sistema financeiro. Os títulos do tesouro são um assunto muito sensível. Na recente crise no Japão, do carry trade, o Banco Central do Japão tentou minimizar a desvalorização do iene através da venda de títulos dos EUA. Esta operação, obrigou a uma viagem de emergência, da Secretaria do Tesouro dos EUA, Janet Yellen ao Japão, onde disponibilizou liquidez para parar a venda de títulos por parte do Banco Central do Japão. Essa forte venda estava desestabilizando o mercado.

Os principais detentores de títulos do tesouros são institucionais, bancos centrais, bancos comerciais, fundo de investimento e gestoras, tudo administrado por gestores altamente qualificados, racionais e que conhecem a complexidade do mercado de obrigações.

O mundo cripto é seu oposto, é naife com muita irracionalidade e uma forte pitada de loucura, na sua maioria nem faz a mínima ideia como funciona o sistema financeiro. Essa irracionalidade pode levar a uma “corrida bancária”, como aconteceu com o UST da Luna, que em poucas horas colapsou o projeto. Em termos de escala, a Luna ainda era muito pequena, por isso, o problema ficou circunscrito ao mundo cripto e a empresas ligadas diretamente ao cripto.

Só que a Tether é muito diferente, caso exista algum FUD, que obrigue a Tether a desfazer-se de vários biliões ou dezenas de biliões de dólares em títulos num curto espaço de tempo, poderia provocar consequências terríveis em todo o sistema financeiro. A Tether é grande demais, é já um problema sistémico, que vai agravar-se com o crescimento em 2025.

Não tenham dúvidas, se existir algum problema, o Tesouro dos EUA vai impedir a venda dos títulos que a Tether tem em sua posse, para salvar o sistema financeiro. O problema é, o que vai fazer a Tether, se ficar sem acesso às venda das reservas, como fará o redeem dos dólares?

Como o crescimento do Tether é inevitável, o Tesouro e o FED estão com um grande problema em mãos, o que fazer com o Tether?

Mas o problema é que o atual sistema financeiro é como um curto cobertor: Quanto tapas a cabeça, destapas os pés; Ou quando tapas os pés, destapas a cabeça. Ou seja, para resolver o problema da guarda reservas da Tether, vai criar novos problemas, em outros locais do sistema financeiro e assim sucessivamente.

Conta mestre

Uma possível solução seria dar uma conta mestre à Tether, dando o acesso direto a uma conta no FED, semelhante à que todos os bancos comerciais têm. Com isto, a Tether deixaria de necessitar os títulos do tesouro, depositando o dinheiro diretamente no banco central. Só que isto iria criar dois novos problemas, com o Custodia Bank e com o restante sistema bancário.

O Custodia Bank luta há vários anos contra o FED, nos tribunais pelo direito a ter licença bancária para um banco com full-reserves. O FED recusou sempre esse direito, com a justificativa que esse banco, colocaria em risco toda a estabilidade do sistema bancário existente, ou seja, todos os outros bancos poderiam colapsar. Perante a existência em simultâneo de bancos com reserva fracionária e com full-reserves, as pessoas e empresas iriam optar pelo mais seguro. Isso iria provocar uma corrida bancária, levando ao colapso de todos os bancos com reserva fracionária, porque no Custodia Bank, os fundos dos clientes estão 100% garantidos, para qualquer valor. Deixaria de ser necessário limites de fundos de Garantia de Depósitos.

Eu concordo com o FED nesse ponto, que os bancos com full-reserves são uma ameaça a existência dos restantes bancos. O que eu discordo do FED, é a origem do problema, o problema não está nos bancos full-reserves, mas sim nos que têm reserva fracionária.

O FED ao conceder uma conta mestre ao Tether, abre um precedente, o Custodia Bank irá o aproveitar, reclamando pela igualdade de direitos nos tribunais e desta vez, possivelmente ganhará a sua licença.

Ainda há um segundo problema, com os restantes bancos comerciais. A Tether passaria a ter direitos similares aos bancos comerciais, mas os deveres seriam muito diferentes. Isto levaria os bancos comerciais aos tribunais para exigir igualdade de tratamento, é uma concorrência desleal. Isto é o bom dos tribunais dos EUA, são independentes e funcionam, mesmo contra o estado. Os bancos comerciais têm custos exorbitantes devido às políticas de compliance, como o KYC e AML. Como o governo não vai querer aliviar as regras, logo seria a Tether, a ser obrigada a fazer o compliance dos seus clientes.

A obrigação do KYC para ter stablecoins iriam provocar um terramoto no mundo cripto.

Assim, é pouco provável que seja a solução para a Tether.

FED

Só resta uma hipótese, ser o próprio FED a controlar e a gerir diretamente as stablecoins de dólar, nacionalizado ou absorvendo as existentes. Seria uma espécie de CBDC. Isto iria provocar um novo problema, um problema diplomático, porque as stablecoins estão a colocar em causa a soberania monetária dos outros países. Atualmente as stablecoins estão um pouco protegidas porque vivem num limbo jurídico, mas a partir do momento que estas são controladas pelo governo americano, tudo muda. Os países vão exigir às autoridades americanas medidas que limitem o uso nos seus respectivos países.

Não existe uma solução boa, o sistema FIAT é um castelo de cartas, qualquer carta que se mova, vai provocar um desmoronamento noutro local. As autoridades não poderão adiar mais o problema, terão que o resolver de vez, senão, qualquer dia será tarde demais. Se houver algum problema, vão colocar a responsabilidade no cripto e no Bitcoin. Mas a verdade, a culpa é inteiramente dos políticos, da sua incompetência em resolver os problemas a tempo.

Será algo para acompanhar futuramente, mas só para 2026, talvez…

É curioso, há uns anos pensava-se que o Bitcoin seria a maior ameaça ao sistema ao FIAT, mas afinal, a maior ameaça aos sistema FIAT é o próprio FIAT(stablecoins). A ironia do destino.

Isto é como uma corrida, o Bitcoin é aquele atleta que corre ao seu ritmo, umas vezes mais rápido, outras vezes mais lento, mas nunca pára. O FIAT é o atleta que dá tudo desde da partida, corre sempre em velocidade máxima. Só que a vida e o sistema financeiro não é uma prova de 100 metros, mas sim uma maratona.

Europa

2025 será um ano desafiante para todos europeus, sobretudo devido à entrada em vigor da regulamentação (MiCA). Vão começar a sentir na pele a regulamentação, vão agravar-se os problemas com os compliance, problemas para comprovar a origem de fundos e outras burocracias. Vai ser lindo.

O Travel Route passa a ser obrigatório, os europeus serão obrigados a fazer o KYC nas transações. A Travel Route é uma suposta lei para criar mais transparência, mas prática, é uma lei de controle, de monitorização e para limitar as liberdades individuais dos cidadãos.

O MiCA também está a colocar problemas nas stablecoins de Euro, a Tether para já preferiu ficar de fora da europa. O mais ridículo é que as novas regras obrigam os emissores a colocar 30% das reservas em bancos comerciais. Os burocratas europeus não compreendem que isto coloca em risco a estabilidade e a solvência dos próprios bancos, ficam propensos a corridas bancárias.

O MiCA vai obrigar a todas as exchanges a estar registadas em solo europeu, ficando vulnerável ao temperamento dos burocratas. Ainda não vai ser em 2025, mas a UE vai impor políticas de controle de capitais, é inevitável, as exchanges serão obrigadas a usar em exclusividade stablecoins de euro, as restantes stablecoins serão deslistadas.

Todas estas novas regras do MiCA, são extremamente restritas, não é para garantir mais segurança aos cidadãos europeus, mas sim para garantir mais controle sobre a população. A UE está cada vez mais perto da autocracia, do que da democracia. A minha única esperança no horizonte, é que o sucesso das políticas cripto nos EUA, vai obrigar a UE a recuar e a aligeirar as regras, a teoria dos jogos é implacável. Mas esse recuo, nunca acontecerá em 2025, vai ser um longo período conturbado.

Recessão

Os mercados estão todos em máximos históricos, isto não é sustentável por muito tempo, suspeito que no final de 2025 vai acontecer alguma correção nos mercados. A queda só não será maior, porque os bancos centrais vão imprimir dinheiro, muito dinheiro, como se não houvesse amanhã. Vão voltar a resolver os problemas com a injeção de liquidez na economia, é empurrar os problemas com a barriga, em de os resolver. Outra vez o efeito Cantillon.

Será um ano muito desafiante a nível político, onde o papel dos políticos será fundamental. A crise política na França e na Alemanha, coloca a UE órfã, sem um comandante ao leme do navio. 2025 estará condicionado pelas eleições na Alemanha, sobretudo no resultado do AfD, que podem colocar em causa a propriedade UE e o euro.

Possivelmente, só o fim da guerra poderia minimizar a crise, algo que é muito pouco provável acontecer.

Em Portugal, a economia parece que está mais ou menos equilibrada, mas começam a aparecer alguns sinais preocupantes. Os jogos de sorte e azar estão em máximos históricos, batendo o recorde de 2014, época da grande crise, não é um bom sinal, possivelmente já existe algum desespero no ar.

A Alemanha é o motor da Europa, quanto espirra, Portugal constipa-se. Além do problema da Alemanha, a Espanha também está à beira de uma crise, são os países que mais influenciam a economia portuguesa.

Se existir uma recessão mundial, terá um forte impacto no turismo, que é hoje em dia o principal motor de Portugal.

Brasil

Brasil é algo para acompanhar em 2025, sobretudo a nível macro e a nível político. Existe uma possibilidade de uma profunda crise no Brasil, sobretudo na sua moeda. O banco central já anda a queimar as reservas para minimizar a desvalorização do Real.

Sem mudanças profundas nas políticas fiscais, as reservas vão se esgotar. As políticas de controle de capitais são um cenário plausível, será interesse de acompanhar, como o governo irá proceder perante a existência do Bitcoin e stablecoins. No Brasil existe um forte adoção, será um bom case study, certamente irá repetir-se em outros países num futuro próximo.

Os próximos tempos não serão fáceis para os brasileiros, especialmente para os que não têm Bitcoin.

Blockchain

Em 2025, possivelmente vamos ver os primeiros passos da BlackRock para criar a primeira bolsa de valores, exclusivamente em blockchain. Eu acredito que a BlackRock vai criar uma própria blockchain, toda controlada por si, onde estarão os RWAs, para fazer concorrência às tradicionais bolsas de valores. Será algo interessante de acompanhar.

---

Estas são as minhas previsões, eu escrevi isto muito em cima do joelho, certamente esqueci-me de algumas coisas, se for importante acrescentarei nos comentários. A maioria das previsões só acontecerá após 2025, mas fica aqui a minha opinião.

Isto é apenas a minha opinião, Don’t Trust, Verify!

@ dc4cd086:cee77c06

Understanding Network Dynamics in Technology Adoption

• Top Row: Continuous vs Discontinuous Transitions in Social Diffusion
• Shows two different ways that innovations spread through a population. The horizontal axis (λ) represents "persuasion capacity" - how effectively adopters convince others to join. The vertical axis (ρ) shows what fraction of the population eventually adopts.
• Blue line shows a continuous transition: as persuasion capacity increases, adoption grows gradually and smoothly. Example: streaming services that steadily gains users year after year.
• Red line shows a discontinuous transition (or "tipping point"): adoption remains near zero until reaching a critical threshold, then suddenly jumps to a high level. This represents technologies that spread explosively once they reach a critical mass.
• The different curves emerge from the situations of how people make adoption decisions. When there is higher adoption resistance (higher threshold T and steeper response curve a), discontinuous transitions become more likely.

Bottom Left: Cascade Window

When is widespread adoption possible? Its based on network structure. The horizontal axis (z) represents network connectivity - on average, how many connections does an individual have? The plot has a regime "cascade window" - widespread adoption only occurs within a specific range of connectivity: - If connectivity is too low (left side), the network is too fragmented for innovations to spread widely - If connectivity is too high (right side), people become resistant to change because they need many of their connections to adopt before they will follow suit

The different curves show theoretical predictions for:

• The early adopter network (blue solid): people who can be convinced to adopt with minimal influence.
• The core connected userbase (red line): the largest interconnected population in the network
• Total adoption potential (green line): the potential total reach possible through both early adopters and those they influence

Bottom Right: Phase Transition Points

This plot highlights critical thresholds where the system undergoes dramatic changes. The peaks represent points where small changes in network connectivity cause the largest shifts in adoption patterns. The vertical dashed line marks a critical connectivity value where adoption dynamics fundamentally change. Near these critical points, the network becomes especially sensitive - like how a small price drop might suddenly make a product accessible to a much larger market segment, increasing how easily individuals are connected.

The green line (total adoption potential rate) shows only a brief spike at the critical threshold and then quickly returns to zero. Implying that the total potential reach of an innovation changes only at that specific critical point and then stabilizes. This is why timing market entry is so crucial - there's a narrow window where network conditions can suddenly enable widespread adoption, and missing this window means the technology might never achieve its full potential.

Further Reading:

• Malcom Gladwell's Tipping Point

Sources:

• https://www.frontiersin.org/journals/physics/articles/10.3389/fphy.2018.00021/full

• https://www.pnas.org/doi/10.1073/pnas.1414708112

• https://www.pnas.org/doi/10.1073/pnas.082090499

@ 09fbf8f3:fa3d60f0

🌟 深度探索：在Cloudflare上免费部署DeepSeek-R1 32B大模型

🌍 一、 注册或登录Cloudflare平台（CF老手可跳过）

1️⃣ 进入Cloudflare平台官网：

。www.cloudflare.com/zh-cn/
登录或者注册账号。

2️⃣ 新注册的用户会让你选择域名，无视即可，直接点下面的Start building。

3️⃣ 进入仪表盘后，界面可能会显示英文，在右上角切换到[简体中文]即可。

---

🚀 二、正式开始部署Deepseek API项目。

1️⃣ 首先在左侧菜单栏找到【AI】下的【Wokers AI】，选择【Llama 3 Woker】。

2️⃣ 为项目取一个好听的名字，后点击部署即可。

3️⃣ Woker项目初始化部署好后，需要编辑替换掉其原代码。

4️⃣ 解压出提供的代码压缩包，找到【32b】的部署代码，将里面的文本复制出来。

下载地址：
📁 夸克
📁 UC网盘
📁 迅雷网盘

5️⃣ 接第3步，将项目里的原代码清空，粘贴第4步复制好的代码到编辑器。

6️⃣ 代码粘贴完，即可点击右上角的部署按钮。

7️⃣ 回到仪表盘，点击部署完的项目名称。

8️⃣ 查看【设置】，找到平台分配的项目网址，复制好备用。

---

💻 三、选择可用的UI软件，这边使用Chatbox AI演示。

1️⃣ 根据自己使用的平台下载对应的安装包，博主也一并打包好了全平台的软件安装包。

2️⃣ 打开安装好的Chatbox，点击左下角的设置。

3️⃣ 选择【添加自定义提供方】。

4️⃣ 按照图片说明填写即可，【API域名】为之前复制的项目网址(加/v1)；【改善网络兼容性】功能务必开启；【API密钥】默认为”zhiyuan“，可自行修改；填写完毕后保存即可。

5️⃣ Cloudflare项目部署好后，就能正常使用了，接口仿照OpenAI API具有较强的兼容性，能导入到很多支持AI功能的软件或插件中。

6️⃣ Cloudflare的域名默认被墙了，需要自己准备一个域名设置。

---

转自微信公众号：纸鸢花的小屋
推广：低调云（梯子VPN）
。www.didiaocloud.xyz

@ ec9bd746:df11a9d0

I was diving into PoW (Proof-of-Work) once again after nostr:nprofile1qy88wumn8ghj7mn0wvhxcmmv9uq3wamnwvaz7tmjv4kxz7fwdehhxarj9e3xzmny9uqzqj8a67jths8euy33v5yu6me6ngua5v3y3qq3dswuqh2pejmtls6datagmu rekindled my interest with his PoW Draw project. It was a fun little trifle, but it shifted my focus just the right way at the right time.

Because then, on Friday, came the Oval Office Travesty. Once I got over the initial shock, I decided I couldn't just curse and lament; I needed to do something bigger, something symbolic, something expressive. So that's exactly what I did—breaking nostr:nprofile1qy88wumn8ghj7mn0wvhxcmmv9uq32amnwvaz7tmjv4kxz7fwv3sk6atn9e5k7tcqyqewrqnkx4zsaweutf739s0cu7et29zrntqs5elw70vlm8zudr3y2t9v7jg's record which he held for almost 2 and half years.

Here is a note with PoW 45, the highest PoW known to Nostr (as of now).

nostr:nevent1qvzqqqqqqypzpmym6ar92346qc04ml08z6j0yrelylkv9r9ysurhte0g2003r2wsqy88wumn8ghj7mn0wvhxcmmv9uqsuamnwvaz7tmwdaejumr0dshsqgqqqqqqqqqy8t8awr5c8z4yfp4cr8v7spp8psncv8twlh083flcr582fyu9

How Did I Pull It Off?

In theory, quite simple: Create note, run PoW mining script & wait.

Thanks to PoW Draw, I already had mining software at hand: nostr:nprofile1qy88wumn8ghj7mn0wvhxcmmv9uq32amnwvaz7tmjv4kxz7fwv3sk6atn9e5k7tcqyqvqc5tlvn6etv09f0fvuauves49dvgnukjtzsndfv9y8yyrqyxmz7dty6z's notemine_hw, but when you know that there is a 1 in 2^45 chance that the next hash will be the correct one you want to increase the odds a bit. So on Monday evening, I started my Note Mining operation on an old 40 thread machine called Workhorse.

Issues Along the Way

I was immediately surprised that Workhorse (2× Intel Xeon Silver 4114) produced only about 3Mh/s. A laptop (Intel Core i7-1185G7) with Windows and all the bloat did 5Mh/s. That was strange.

Another hurdle was that notemine_hw does not refresh the created_at field. With just a few Mh/s of power I was potentially looking at weeks of computation, by then the note would be quite stale. So I created systemd service leveraging the RuntimeMaxSec option to periodically restart every 3600 seconds assuring that the Note would be max 1 hour old at the time of publishing.

Luckily PoW is that kind of problem where every hash attempt is an independent event, so the chance of success is the same whether you do it in small increments or one uninterrupted stretch. So by restarting the mining process I was only losing a few mere seconds every hour due to the overhead.

Once the note staleness issue was resolved, I looked at the 40 workers on Workhorse vs. 7 workers on the laptop and start messing around with running one instance with 40 workers and running 40 instances with 1 worker and found out, that the workers are not bound to a CPU thread and are jumping between the CPUs like rabbits high on Colombian carrots.

The solution? Running multiple instances with one worker each as a service locked to its own CPU core using systemd's CPUAffinity option. ``` $aida@workhorse:systemd/system $ sudo cat notemine@.service [Unit] Description=Notemine HW Publish (restarts hourly)

[Service] Type=simple CPUAffinity=%i

The command to run:

ExecStart=/home/aida/.cargo/bin/notemine_hw publish --n-workers 1 --difficulty 45 --event-json /home/aida/note.json --relay-url 'wss://wot.shaving.kiwi' --nsec nsec0123456789abcdef

Let the process run for 1 hour (3600 seconds), then systemd will stop it:

RuntimeMaxSec=3600 TimeoutStopSec=1

Tells systemd to restart the service automatically after it stops:

Restart=always RestartSec=1

run as a non-root user:

User=aida Group=aida

[Install] WantedBy=multi-user.target ``` Then I added a starting service to spawn an instance for each CPU thread.

``` $aida@workhorse:systemd/system $ sudo cat notemine_start.service [Unit] Description=Start all services in sequence with 3-second intervals

[Service] Type=oneshot ExecStart=/usr/bin/zsh /home/aida/notemine_start.sh

RemainAfterExit=yes

[Install] WantedBy=multi-user.target Here is the startup script (I know, loops exist—but Ctrl+C/Ctrl+V is so old-school): aida@workhorse:~ $ cat notemine_start.sh /usr/bin/systemctl start notemine@0.service /usr/bin/sleep 3 /usr/bin/systemctl start notemine@1.service /usr/bin/sleep 3 /usr/bin/systemctl start notemine@2.service /usr/bin/sleep 3 /usr/bin/systemctl start notemine@3.service /usr/bin/sleep 3 ... ... ... /usr/bin/systemctl start notemine@38.service `` The sleep there is critical to make sure that thecreated_at`timestamps are different, preventing redundant hashing.

This adjustment made Workhorse the strongest machine in my fleet with 10+Mh/s.

The Luck Aspect

From Monday evening, I started adding all machines at my disposal into the fleet and by Wednesday evening I was crunching hashes on about 130 CPU threads (a lot of them were quite antique) and at the peak was just little shy of 40Mh/s. To compensate for the slow start with the few above-mentioned hiccups and the fact that I had to use my desktop to do other things from time to time, I counted with the conservative estimate of 30Mh/s when I was doing all the probability calculations.

Based on the type of task that PoW mining is, the outcome is not predictible. You are only looking at what is the chance that the outcome of every single independent event will be consecutively non-favourable and then subtracting it from 1 to get the chance of that single favourable event you want. I really had to brush up on my combinatorics and discrete mathematics to make sure I have at least an elementary understanding of what is going on. Also, because we are not just throwing a dice 5 times, but are operating with big numbers, approximation was necessary. Luckily, the formula is available and quite simple in the end.

Two weeks to exhauste all the possible tries still doesn't guarantee anything, actually there is a slighlty less than 2 in 3 chance that you will have a result after all that time. So the fact that I was able to hit the right hash in less than 3 days was good luck. Not insane lottery winning luck, but good luck; slighlty lower than 1 in 5.

Do you want to beat me?

Go ahead! All the pitfalls are described above and until there is a GPU-based PoW Mining available, we are all on pretty even ground.

Do you hate the note?

In that case, feel free to enjoy this accompanying image:

@ 16d11430:61640947

At the intersection of philosophy, theology, physics, biology, and finance lies a terrifying truth: the fiat monetary system, in its current form, is not just an economic framework but a silent, relentless force actively working against humanity's survival. It isn't simply a failed financial model—it is a systemic engine of destruction, both externally and within the very core of our biological existence.

The Philosophical Void of Fiat

Philosophy has long questioned the nature of value and the meaning of human existence. From Socrates to Kant, thinkers have pondered the pursuit of truth, beauty, and virtue. But in the modern age, the fiat system has hijacked this discourse. The notion of "value" in a fiat world is no longer rooted in human potential or natural resources—it is abstracted, manipulated, and controlled by central authorities with the sole purpose of perpetuating their own power. The currency is not a reflection of society’s labor or resources; it is a representation of faith in an authority that, more often than not, breaks that faith with reckless monetary policies and hidden inflation.

The fiat system has created a kind of ontological nihilism, where the idea of true value, rooted in work, creativity, and family, is replaced with speculative gambling and short-term gains. This betrayal of human purpose at the systemic level feeds into a philosophical despair: the relentless devaluation of effort, the erosion of trust, and the abandonment of shared human values. In this nihilistic economy, purpose and meaning become increasingly difficult to find, leaving millions to question the very foundation of their existence.

Theological Implications: Fiat and the Collapse of the Sacred

Religious traditions have long linked moral integrity with the stewardship of resources and the preservation of life. Fiat currency, however, corrupts these foundational beliefs. In the theological narrative of creation, humans are given dominion over the Earth, tasked with nurturing and protecting it for future generations. But the fiat system promotes the exact opposite: it commodifies everything—land, labor, and life—treating them as mere transactions on a ledger.

This disrespect for creation is an affront to the divine. In many theologies, creation is meant to be sustained, a delicate balance that mirrors the harmony of the divine order. Fiat systems—by continuously printing money and driving inflation—treat nature and humanity as expendable resources to be exploited for short-term gains, leading to environmental degradation and societal collapse. The creation narrative, in which humans are called to be stewards, is inverted. The fiat system, through its unholy alliance with unrestrained growth and unsustainable debt, is destroying the very creation it should protect.

Furthermore, the fiat system drives idolatry of power and wealth. The central banks and corporations that control the money supply have become modern-day gods, their decrees shaping the lives of billions, while the masses are enslaved by debt and inflation. This form of worship isn't overt, but it is profound. It leads to a world where people place their faith not in God or their families, but in the abstract promises of institutions that serve their own interests.

Physics and the Infinite Growth Paradox

Physics teaches us that the universe is finite—resources, energy, and space are all limited. Yet, the fiat system operates under the delusion of infinite growth. Central banks print money without concern for natural limits, encouraging an economy that assumes unending expansion. This is not only an economic fallacy; it is a physical impossibility.

In thermodynamics, the Second Law states that entropy (disorder) increases over time in any closed system. The fiat system operates as if the Earth were an infinite resource pool, perpetually able to expand without consequence. The real world, however, does not bend to these abstract concepts of infinite growth. Resources are finite, ecosystems are fragile, and human capacity is limited. Fiat currency, by promoting unsustainable consumption and growth, accelerates the depletion of resources and the degradation of natural systems that support life itself.

Even the financial “growth” driven by fiat policies leads to unsustainable bubbles—inflated stock markets, real estate, and speculative assets that burst and leave ruin in their wake. These crashes aren’t just economic—they have profound biological consequences. The cycles of boom and bust undermine communities, erode social stability, and increase anxiety and depression, all of which affect human health at a biological level.

Biology: The Fiat System and the Destruction of Human Health

Biologically, the fiat system is a cancerous growth on human society. The constant chase for growth and the devaluation of work leads to chronic stress, which is one of the leading causes of disease in modern society. The strain of living in a system that values speculation over well-being results in a biological feedback loop: rising anxiety, poor mental health, physical diseases like cardiovascular disorders, and a shortening of lifespans.

Moreover, the focus on profit and short-term returns creates a biological disconnect between humans and the planet. The fiat system fuels industries that destroy ecosystems, increase pollution, and deplete resources at unsustainable rates. These actions are not just environmentally harmful; they directly harm human biology. The degradation of the environment—whether through toxic chemicals, pollution, or resource extraction—has profound biological effects on human health, causing respiratory diseases, cancers, and neurological disorders.

The biological cost of the fiat system is not a distant theory; it is being paid every day by millions in the form of increased health risks, diseases linked to stress, and the growing burden of mental health disorders. The constant uncertainty of an inflation-driven economy exacerbates these conditions, creating a society of individuals whose bodies and minds are under constant strain. We are witnessing a systemic biological unraveling, one in which the very act of living is increasingly fraught with pain, instability, and the looming threat of collapse.

Finance as the Final Illusion

At the core of the fiat system is a fundamental illusion—that financial growth can occur without any real connection to tangible value. The abstraction of currency, the manipulation of interest rates, and the constant creation of new money hide the underlying truth: the system is built on nothing but faith. When that faith falters, the entire system collapses.

This illusion has become so deeply embedded that it now defines the human experience. Work no longer connects to production or creation—it is reduced to a transaction on a spreadsheet, a means to acquire more fiat currency in a world where value is ephemeral and increasingly disconnected from human reality.

As we pursue ever-expanding wealth, the fundamental truths of biology—interdependence, sustainability, and balance—are ignored. The fiat system’s abstract financial models serve to disconnect us from the basic realities of life: that we are part of an interconnected world where every action has a reaction, where resources are finite, and where human health, both mental and physical, depends on the stability of our environment and our social systems.

The Ultimate Extermination

In the end, the fiat system is not just an economic issue; it is a biological, philosophical, theological, and existential threat to the very survival of humanity. It is a force that devalues human effort, encourages environmental destruction, fosters inequality, and creates pain at the core of the human biological condition. It is an economic framework that leads not to prosperity, but to extermination—not just of species, but of the very essence of human well-being.

To continue on this path is to accept the slow death of our species, one based not on natural forces, but on our own choice to worship the abstract over the real, the speculative over the tangible. The fiat system isn't just a threat; it is the ultimate self-inflicted wound, a cultural and financial cancer that, if left unchecked, will destroy humanity’s chance for survival and peace.

@ 42342239:1d80db24

Almost 150 years ago, the British newspaper editor William Thomas Stead wrote that "the editorial pen is a sceptre of power, compared with which the sceptre of many a monarch is but a gilded lath". He had begun to regard journalism as something more than just conveying information - the journalist or editor could become a ruler.

Times had certainly changed compared to a few hundred years earlier. Before Gutenberg's invention of the printing press, it was mainly the church that controlled the dissemination of information in Europe, but when Stead put pen to paper, this control had shifted to newspapers, schools, and universities. Eventually, technologies like radio and TV entered the scene, but the power dynamics remained asymmetrical - only a few could send information to the many.

However, with the emergence of the internet, and especially with the spread of social media, a significant change followed. Instead of only a few being able to send information to the many, many could send to many. Almost anyone could now create their own newspaper, radio, or TV channel. The power over information dissemination was decentralised.

Ten years ago, Roberta Alenius, who was then press secretary for Sweden's Prime Minister Fredrik Reinfeldt of the Moderate Party, shared her experiences with Social Democratic and Moderate Party internet activists on social media. She reported that social media played a significant role in how news "comes out" and is shaped, and that journalism was now downstream of social media. Five years later, NATO's then-Secretary-General Jens Stoltenberg said that "NATO must be prepared for both conventional and hybrid threats: from tanks to tweets." This finally underscores the importance of social media.

Elon Musk, who took over X (formerly Twitter) in 2022, has claimed that "it's absolutely fundamental and transformative that the people actually get to decide the news and narrative and what's important," and that citizen journalism is the future.

While his platform allows most expressions - for better or worse - the reach of messages is instead limited ("freedom of speech does not mean freedom of reach "). X has also opened its recommendation algorithm to the outside world by making it open-source. Although this is a welcome step, the fact remains that it's impossible to know which code is actually used and what adjustments are made by humans or algorithms.

William Thomas Stead's "sceptre of power", which has wandered from the church to newspaper and TV editorial offices, and now to citizens according to Elon Musk, risks being transferred to algorithms' opaque methods?

Instead of talking about "toxic algorithms" and TikTok bans, like the so many do today, we should ask ourselves more fundamental questions. What happens when algorithms are no longer objective (how can they ever be?), but instead become tools for shaping our reality? Perhaps our greatest challenge today is not deciding who should govern the information landscape, but instead recognising that no one is up to the task - not even well-ventilated computers.

@ 9e69e420:d12360c2

Ukraine's President Volodymyr Zelensky called for an "army of Europe" to defend against Russian threats, emphasizing that the US may not continue its traditional support for Europe. Speaking at the Munich Security Conference, he warned against peace deals made without Ukraine's involvement.

US Vice President JD Vance echoed this sentiment, urging Europe to enhance its defense efforts.

Zelensky stated, "I really believe the time has come - the armed forces of Europe must be created." He highlighted changing dynamics in US-Europe relations and noted that "the old days are over" regarding American support.

Despite discussions around NATO, Zelensky stated he wouldn't rule out NATO membership for Ukraine.

@ 147ac18e:ef1ca1ba

The world is on the brink of a technological shift, where artificial intelligence (AI) is becoming increasingly autonomous. With AI agents conducting transactions, hiring other AI agents, and managing digital assets, a critical question arises: What form of money will power this new AI-driven economy? The answer, as some industry experts predict, is Bitcoin.

The Rise of the Autonomous Economy

AI agents are no longer just tools executing predefined tasks; they are evolving into independent economic actors capable of initiating transactions, negotiating terms, and paying for services. The transaction volume within AI-driven economies is projected to be 100 times larger than human transactions, as each person may have dozens or even hundreds of AI agents working on their behalf. This creates an unprecedented demand for a seamless, efficient, and universally accepted form of digital money.

Why Bitcoin is the Natural Choice for AI Transactions

Bitcoin stands out as the ideal currency for AI-driven economies for several reasons:

1. Borderless and Permissionless: Unlike traditional banking systems that require identity verification (KYC/AML) and impose restrictions based on geography, Bitcoin allows AI agents to transact freely without human intervention.

2. Personless Transactions: AI agents, by nature, do not have legal identities, making it impossible for them to interact with banks or obtain credit cards. Bitcoin provides a neutral medium that does not require a legal entity to use it.

3. Energy-Backed Economy: AI agents function on computational power, which is an energy-intensive process. Bitcoin’s proof-of-work mechanism aligns well with this model, as it is also backed by computational energy. AI systems will inherently recognize Bitcoin as a valid medium of exchange due to this energy linkage.

4. Micropayments via Lightning Network: AI transactions will often involve micropayments—small fees for data processing, information retrieval, and digital labor. Traditional financial networks are inefficient in handling such transactions due to high fees and processing delays. The Bitcoin Lightning Network enables instant, low-cost micropayments, making it perfect for AI-to-AI financial interactions.

5. Immutability and Transparency: AI systems require trustless environments where transaction history cannot be altered or reversed. Bitcoin’s blockchain ensures that all transactions are transparent and immutable, reducing fraud and enabling verifiable AI-driven commerce.

The Symbiotic Growth of Bitcoin and AI

As AI-driven economies expand, Bitcoin adoption will accelerate in the following ways:

• Increased Transaction Volume: With billions of AI transactions occurring daily, Bitcoin will see an explosion in on-chain and Lightning Network activity, solidifying its position as the world’s primary digital currency.

• Institutional and Enterprise Adoption: As businesses integrate AI into their workflows, they will increasingly adopt Bitcoin to facilitate machine-to-machine payments, smart contracts, and decentralized finance (DeFi) solutions.

• Regulatory Shift Towards Decentralized Currencies: Governments and financial institutions will have to acknowledge Bitcoin’s role in AI economies and adjust regulatory frameworks accordingly, further legitimizing its use.

• Bitcoin as a Store of Value for AI: AI systems will not only use Bitcoin for transactions but may also accumulate it as a reserve asset due to its deflationary nature and finite supply.

The Future: Bitcoin as the De Facto AI Currency

As AI continues to reshape industries, Bitcoin is poised to become the backbone of an autonomous digital economy. The fusion of AI and Bitcoin will create a self-sustaining loop where AI agents fuel Bitcoin’s transactional utility, and Bitcoin’s decentralized nature enables AI’s economic autonomy. This symbiosis will not only drive Bitcoin adoption but could also redefine global economic structures.

In this AI-driven future, Bitcoin may not just be a currency for humans—it could very well be the native currency of artificial intelligence.

Episode link: https://fountain.fm/episode/Ds1qicPmbC3udErQ7J3z

@ a367f9eb:0633efea

I’ll admit that I was wrong about Bitcoin. Perhaps in 2013. Definitely 2017. Probably in 2018-2019. And maybe even today.

Being wrong about Bitcoin is part of finally understanding it. It will test you, make you question everything, and in the words of BTC educator and privacy advocate Matt Odell, “Bitcoin will humble you”.

I’ve had my own stumbles on the way.

In a very public fashion in 2017, after years of using Bitcoin, trying to start a company with it, using it as my primary exchange vehicle between currencies, and generally being annoying about it at parties, I let out the bear.

In an article published in my own literary magazine Devolution Review in September 2017, I had a breaking point. The article was titled “Going Bearish on Bitcoin: Cryptocurrencies are the tulip mania of the 21st century”.

It was later republished in Huffington Post and across dozens of financial and crypto blogs at the time with another, more appropriate title: “Bitcoin Has Become About The Payday, Not Its Potential”.

As I laid out, my newfound bearishness had little to do with the technology itself or the promise of Bitcoin, and more to do with the cynical industry forming around it:

In the beginning, Bitcoin was something of a revolution to me. The digital currency represented everything from my rebellious youth.

It was a decentralized, denationalized, and digital currency operating outside the traditional banking and governmental system. It used tools of cryptography and connected buyers and sellers across national borders at minimal transaction costs.

…

The 21st-century version (of Tulip mania) has welcomed a plethora of slick consultants, hazy schemes dressed up as investor possibilities, and too much wishy-washy language for anything to really make sense to anyone who wants to use a digital currency to make purchases.

While I called out Bitcoin by name at the time, on reflection, I was really talking about the ICO craze, the wishy-washy consultants, and the altcoin ponzis.

What I was articulating — without knowing it — was the frame of NgU, or “numbers go up”. Rather than advocating for Bitcoin because of its uncensorability, proof-of-work, or immutability, the common mentality among newbies and the dollar-obsessed was that Bitcoin mattered because its price was a rocket ship.

And because Bitcoin was gaining in price, affinity tokens and projects that were imperfect forks of Bitcoin took off as well.

The price alone — rather than its qualities — were the reasons why you’d hear Uber drivers, finance bros, or your gym buddy mention Bitcoin. As someone who came to Bitcoin for philosophical reasons, that just sat wrong with me.

Maybe I had too many projects thrown in my face, or maybe I was too frustrated with the UX of Bitcoin apps and sites at the time. No matter what, I’ve since learned something.

I was at least somewhat wrong.

My own journey began in early 2011. One of my favorite radio programs, Free Talk Live, began interviewing guests and having discussions on the potential of Bitcoin. They tied it directly to a libertarian vision of the world: free markets, free people, and free banking. That was me, and I was in. Bitcoin was at about $5 back then (NgU).

I followed every article I could, talked about it with guests on my college radio show, and became a devoted redditor on r/Bitcoin. At that time, at least to my knowledge, there was no possible way to buy Bitcoin where I was living. Very weak.

I was probably wrong. And very wrong for not trying to acquire by mining or otherwise.

The next year, after moving to Florida, Bitcoin was a heavy topic with a friend of mine who shared the same vision (and still does, according to the Celsius bankruptcy documents). We talked about it with passionate leftists at Occupy Tampa in 2012, all the while trying to explain the ills of Keynesian central banking, and figuring out how to use Coinbase.

I began writing more about Bitcoin in 2013, writing a guide on “How to Avoid Bank Fees Using Bitcoin,” discussing its potential legalization in Germany, and interviewing Jeremy Hansen, one of the first political candidates in the U.S. to accept Bitcoin donations.

Even up until that point, I thought Bitcoin was an interesting protocol for sending and receiving money quickly, and converting it into fiat. The global connectedness of it, plus this cypherpunk mentality divorced from government control was both useful and attractive. I thought it was the perfect go-between.

But I was wrong.

When I gave my first public speech on Bitcoin in Vienna, Austria in December 2013, I had grown obsessed with Bitcoin’s adoption on dark net markets like Silk Road.

My theory, at the time, was the number and price were irrelevant. The tech was interesting, and a novel attempt. It was unlike anything before. But what was happening on the dark net markets, which I viewed as the true free market powered by Bitcoin, was even more interesting. I thought these markets would grow exponentially and anonymous commerce via BTC would become the norm.

While the price was irrelevant, it was all about buying and selling goods without permission or license.

Now I understand I was wrong.

Just because Bitcoin was this revolutionary technology that embraced pseudonymity did not mean that all commerce would decentralize as well. It did not mean that anonymous markets were intended to be the most powerful layer in the Bitcoin stack.

What I did not even anticipate is something articulated very well by noted Bitcoin OG Pierre Rochard: Bitcoin as a savings technology.

The ability to maintain long-term savings, practice self-discipline while stacking stats, and embrace a low-time preference was just not something on the mind of the Bitcoiners I knew at the time.

Perhaps I was reading into the hype while outwardly opposing it. Or perhaps I wasn’t humble enough to understand the true value proposition that many of us have learned years later.

In the years that followed, I bought and sold more times than I can count, and I did everything to integrate it into passion projects. I tried to set up a company using Bitcoin while at my university in Prague.

My business model depended on university students being technologically advanced enough to have a mobile wallet, own their keys, and be able to make transactions on a consistent basis. Even though I was surrounded by philosophically aligned people, those who would advance that to actually put Bitcoin into practice were sparse.

This is what led me to proclaim that “Technological Literacy is Doomed” in 2016.

And I was wrong again.

Indeed, since that time, the UX of Bitcoin-only applications, wallets, and supporting tech has vastly improved and onboarded millions more people than anyone thought possible. The entrepreneurship, coding excellence, and vision offered by Bitcoiners of all stripes have renewed a sense in me that this project is something built for us all — friends and enemies alike.

While many of us were likely distracted by flashy and pumpy altcoins over the years (me too, champs), most of us have returned to the Bitcoin stable.

Fast forward to today, there are entire ecosystems of creators, activists, and developers who are wholly reliant on the magic of Bitcoin’s protocol for their life and livelihood. The options are endless. The FUD is still present, but real proof of work stands powerfully against those forces.

In addition, there are now dozens of ways to use Bitcoin privately — still without custodians or intermediaries — that make it one of the most important assets for global humanity, especially in dictatorships.

This is all toward a positive arc of innovation, freedom, and pure independence. Did I see that coming? Absolutely not.

Of course, there are probably other shots you’ve missed on Bitcoin. Price predictions (ouch), the short-term inflation hedge, or the amount of institutional investment. While all of these may be erroneous predictions in the short term, we have to realize that Bitcoin is a long arc. It will outlive all of us on the planet, and it will continue in its present form for the next generation.

Being wrong about the evolution of Bitcoin is no fault, and is indeed part of the learning curve to finally understanding it all.

When your family or friends ask you about Bitcoin after your endless sessions explaining market dynamics, nodes, how mining works, and the genius of cryptographic signatures, try to accept that there is still so much we have to learn about this decentralized digital cash.

There are still some things you’ve gotten wrong about Bitcoin, and plenty more you’ll underestimate or get wrong in the future. That’s what makes it a beautiful journey. It’s a long road, but one that remains worth it.

@ fd208ee8:0fd927c1

E-cash are coupons or tokens for Bitcoin, or Bitcoin debt notes that the mint issues. The e-cash states, essentially, "IoU 2900 sats".

They're redeemable for Bitcoin on Lightning (hard money), and therefore can be used as cash (softer money), so long as the mint has a good reputation. That means that they're less fungible than Lightning because the e-cash from one mint can be more or less valuable than the e-cash from another. If a mint is buggy, offline, or disappears, then the e-cash is unreedemable.

It also means that e-cash is more anonymous than Lightning, and that the sender and receiver's wallets don't need to be online, to transact. Nutzaps now add the possibility of parking transactions one level farther out, on a relay. The same relays that cannot keep npub profiles and follow lists consistent will now do monetary transactions.

What we then have is * a transaction on a relay that triggers * a transaction on a mint that triggers * a transaction on Lightning that triggers * a transaction on Bitcoin.

Which means that every relay that stores the nuts is part of a wildcat banking system. Which is fine, but relay operators should consider whether they wish to carry the associated risks and liabilities. They should also be aware that they should implement the appropriate features in their relay, such as expiration tags (nuts rot after 2 weeks), and to make sure that only expired nuts are deleted.

There will be plenty of specialized relays for this, so don't feel pressured to join in, and research the topic carefully, for yourself.

https://github.com/nostr-protocol/nips/blob/master/60.md https://github.com/nostr-protocol/nips/blob/master/61.md

@ 0fa80bd3:ea7325de

intro

The Russian state made me a Bitcoiner. In 1991, it devalued my grandmother's hard-earned savings. She worked tirelessly in the kitchen of a dining car on the Moscow–Warsaw route. Everything she had saved for my sister and me to attend university vanished overnight. This story is similar to what many experienced, including Wences Casares. The pain and injustice of that time became my first lessons about the fragility of systems and the value of genuine, incorruptible assets, forever changing my perception of money and my trust in government promises.

In 2014, I was living in Moscow, running a trading business, and frequently traveling to China. One day, I learned about the Cypriot banking crisis and the possibility of moving money through some strange thing called Bitcoin. At the time, I didn’t give it much thought. Returning to the idea six months later, as a business-oriented geek, I eagerly began studying the topic and soon dove into it seriously.

I spent half a year reading articles on a local online journal, BitNovosti, actively participating in discussions, and eventually joined the editorial team as a translator. That’s how I learned about whitepapers, decentralization, mining, cryptographic keys, and colored coins. About Satoshi Nakamoto, Silk Road, Mt. Gox, and BitcoinTalk. Over time, I befriended the journal’s owner and, leveraging my management experience, later became an editor. I was drawn to the crypto-anarchist stance and commitment to decentralization principles. We wrote about the economic, historical, and social preconditions for Bitcoin’s emergence, and it was during this time that I fully embraced the idea.

It got to the point where I sold my apartment and, during the market's downturn, bought 50 bitcoins, just after the peak price of $1,200 per coin. That marked the beginning of my first crypto winter. As an editor, I organized workflows, managed translators, developed a YouTube channel, and attended conferences in Russia and Ukraine. That’s how I learned about Wences Casares and even wrote a piece about him. I also met Mikhail Chobanyan (Ukrainian exchange Kuna), Alexander Ivanov (Waves project), Konstantin Lomashuk (Lido project), and, of course, Vitalik Buterin. It was a time of complete immersion, 24/7, and boundless hope.

After moving to the United States, I expected the industry to grow rapidly, attended events, but the introduction of BitLicense froze the industry for eight years. By 2017, it became clear that the industry was shifting toward gambling and creating tokens for the sake of tokens. I dismissed this idea as unsustainable. Then came a new crypto spring with the hype around beautiful NFTs – CryptoPunks and apes.

I made another attempt – we worked on a series called Digital Nomad Country Club, aimed at creating a global project. The proceeds from selling images were intended to fund the development of business tools for people worldwide. However, internal disagreements within the team prevented us from completing the project.

With Trump’s arrival in 2025, hope was reignited. I decided that it was time to create a project that society desperately needed. As someone passionate about history, I understood that destroying what exists was not the solution, but leaving everything as it was also felt unacceptable. You can’t destroy the system, as the fiery crypto-anarchist voices claimed.

With an analytical mindset (IQ 130) and a deep understanding of the freest societies, I realized what was missing—not only in Russia or the United States but globally—a Bitcoin-native system for tracking debts and financial interactions. This could return control of money to ordinary people and create horizontal connections parallel to state systems. My goal was to create, if not a Bitcoin killer app, then at least to lay its foundation.

At the inauguration event in New York, I rediscovered the Nostr project. I realized it was not only technologically simple and already quite popular but also perfectly aligned with my vision. For the past month and a half, using insights and experience gained since 2014, I’ve been working full-time on this project.

@ fe32298e:20516265

Today I learned how to install NVapi to monitor my GPUs in Home Assistant.

NVApi is a lightweight API designed for monitoring NVIDIA GPU utilization and enabling automated power management. It provides real-time GPU metrics, supports integration with tools like Home Assistant, and offers flexible power management and PCIe link speed management based on workload and thermal conditions.

• GPU Utilization Monitoring: Utilization, memory usage, temperature, fan speed, and power consumption.
• Automated Power Limiting: Adjusts power limits dynamically based on temperature thresholds and total power caps, configurable per GPU or globally.
• Cross-GPU Coordination: Total power budget applies across multiple GPUs in the same system.
• PCIe Link Speed Management: Controls minimum and maximum PCIe link speeds with idle thresholds for power optimization.
• Home Assistant Integration: Uses the built-in RESTful platform and template sensors.

Getting the Data

sudo apt install golang-go git clone https://github.com/sammcj/NVApi.git cd NVapi go run main.go -port 9999 -rate 1 curl http://localhost:9999/gpu

Response for a single GPU: [ { "index": 0, "name": "NVIDIA GeForce RTX 4090", "gpu_utilisation": 0, "memory_utilisation": 0, "power_watts": 16, "power_limit_watts": 450, "memory_total_gb": 23.99, "memory_used_gb": 0.46, "memory_free_gb": 23.52, "memory_usage_percent": 2, "temperature": 38, "processes": [], "pcie_link_state": "not managed" } ]

Response for multiple GPUs: [ { "index": 0, "name": "NVIDIA GeForce RTX 3090", "gpu_utilisation": 0, "memory_utilisation": 0, "power_watts": 14, "power_limit_watts": 350, "memory_total_gb": 24, "memory_used_gb": 0.43, "memory_free_gb": 23.57, "memory_usage_percent": 2, "temperature": 36, "processes": [], "pcie_link_state": "not managed" }, { "index": 1, "name": "NVIDIA RTX A4000", "gpu_utilisation": 0, "memory_utilisation": 0, "power_watts": 10, "power_limit_watts": 140, "memory_total_gb": 15.99, "memory_used_gb": 0.56, "memory_free_gb": 15.43, "memory_usage_percent": 3, "temperature": 41, "processes": [], "pcie_link_state": "not managed" } ]

Start at Boot

Create /etc/systemd/system/nvapi.service:

``` [Unit] Description=Run NVapi After=network.target

[Service] Type=simple Environment="GOPATH=/home/ansible/go" WorkingDirectory=/home/ansible/NVapi ExecStart=/usr/bin/go run main.go -port 9999 -rate 1 Restart=always User=ansible

Environment="GPU_TEMP_CHECK_INTERVAL=5"

Environment="GPU_TOTAL_POWER_CAP=400"

Environment="GPU_0_LOW_TEMP=40"

Environment="GPU_0_MEDIUM_TEMP=70"

Environment="GPU_0_LOW_TEMP_LIMIT=135"

Environment="GPU_0_MEDIUM_TEMP_LIMIT=120"

Environment="GPU_0_HIGH_TEMP_LIMIT=100"

Environment="GPU_1_LOW_TEMP=45"

Environment="GPU_1_MEDIUM_TEMP=75"

Environment="GPU_1_LOW_TEMP_LIMIT=140"

Environment="GPU_1_MEDIUM_TEMP_LIMIT=125"

Environment="GPU_1_HIGH_TEMP_LIMIT=110"

[Install] WantedBy=multi-user.target ```

Home Assistant

Add to Home Assistant configuration.yaml and restart HA (completely).

For a single GPU, this works: ``` sensor: - platform: rest name: MYPC GPU Information resource: http://mypc:9999 method: GET headers: Content-Type: application/json value_template: "{{ value_json[0].index }}" json_attributes: - name - gpu_utilisation - memory_utilisation - power_watts - power_limit_watts - memory_total_gb - memory_used_gb - memory_free_gb - memory_usage_percent - temperature scan_interval: 1 # seconds

• platform: template sensors: mypc_gpu_0_gpu: friendly_name: "MYPC {{ state_attr('sensor.mypc_gpu_information', 'name') }} GPU" value_template: "{{ state_attr('sensor.mypc_gpu_information', 'gpu_utilisation') }}" unit_of_measurement: "%" mypc_gpu_0_memory: friendly_name: "MYPC {{ state_attr('sensor.mypc_gpu_information', 'name') }} Memory" value_template: "{{ state_attr('sensor.mypc_gpu_information', 'memory_utilisation') }}" unit_of_measurement: "%" mypc_gpu_0_power: friendly_name: "MYPC {{ state_attr('sensor.mypc_gpu_information', 'name') }} Power" value_template: "{{ state_attr('sensor.mypc_gpu_information', 'power_watts') }}" unit_of_measurement: "W" mypc_gpu_0_power_limit: friendly_name: "MYPC {{ state_attr('sensor.mypc_gpu_information', 'name') }} Power Limit" value_template: "{{ state_attr('sensor.mypc_gpu_information', 'power_limit_watts') }}" unit_of_measurement: "W" mypc_gpu_0_temperature: friendly_name: "MYPC {{ state_attr('sensor.mypc_gpu_information', 'name') }} Temperature" value_template: "{{ state_attr('sensor.mypc_gpu_information', 'temperature') }}" unit_of_measurement: "°C" ```

For multiple GPUs: ``` rest: scan_interval: 1 resource: http://mypc:9999 sensor: - name: "MYPC GPU0 Information" value_template: "{{ value_json[0].index }}" json_attributes_path: "$.0" json_attributes: - name - gpu_utilisation - memory_utilisation - power_watts - power_limit_watts - memory_total_gb - memory_used_gb - memory_free_gb - memory_usage_percent - temperature - name: "MYPC GPU1 Information" value_template: "{{ value_json[1].index }}" json_attributes_path: "$.1" json_attributes: - name - gpu_utilisation - memory_utilisation - power_watts - power_limit_watts - memory_total_gb - memory_used_gb - memory_free_gb - memory_usage_percent - temperature

• platform: template sensors: mypc_gpu_0_gpu: friendly_name: "MYPC GPU0 GPU" value_template: "{{ state_attr('sensor.mypc_gpu0_information', 'gpu_utilisation') }}" unit_of_measurement: "%" mypc_gpu_0_memory: friendly_name: "MYPC GPU0 Memory" value_template: "{{ state_attr('sensor.mypc_gpu0_information', 'memory_utilisation') }}" unit_of_measurement: "%" mypc_gpu_0_power: friendly_name: "MYPC GPU0 Power" value_template: "{{ state_attr('sensor.mypc_gpu0_information', 'power_watts') }}" unit_of_measurement: "W" mypc_gpu_0_power_limit: friendly_name: "MYPC GPU0 Power Limit" value_template: "{{ state_attr('sensor.mypc_gpu0_information', 'power_limit_watts') }}" unit_of_measurement: "W" mypc_gpu_0_temperature: friendly_name: "MYPC GPU0 Temperature" value_template: "{{ state_attr('sensor.mypc_gpu0_information', 'temperature') }}" unit_of_measurement: "C"

• platform: template sensors: mypc_gpu_1_gpu: friendly_name: "MYPC GPU1 GPU" value_template: "{{ state_attr('sensor.mypc_gpu1_information', 'gpu_utilisation') }}" unit_of_measurement: "%" mypc_gpu_1_memory: friendly_name: "MYPC GPU1 Memory" value_template: "{{ state_attr('sensor.mypc_gpu1_information', 'memory_utilisation') }}" unit_of_measurement: "%" mypc_gpu_1_power: friendly_name: "MYPC GPU1 Power" value_template: "{{ state_attr('sensor.mypc_gpu1_information', 'power_watts') }}" unit_of_measurement: "W" mypc_gpu_1_power_limit: friendly_name: "MYPC GPU1 Power Limit" value_template: "{{ state_attr('sensor.mypc_gpu1_information', 'power_limit_watts') }}" unit_of_measurement: "W" mypc_gpu_1_temperature: friendly_name: "MYPC GPU1 Temperature" value_template: "{{ state_attr('sensor.mypc_gpu1_information', 'temperature') }}" unit_of_measurement: "C"

```

Basic entity card: type: entities entities: - entity: sensor.mypc_gpu_0_gpu secondary_info: last-updated - entity: sensor.mypc_gpu_0_memory secondary_info: last-updated - entity: sensor.mypc_gpu_0_power secondary_info: last-updated - entity: sensor.mypc_gpu_0_power_limit secondary_info: last-updated - entity: sensor.mypc_gpu_0_temperature secondary_info: last-updated

Ansible Role

```

• name: install go become: true package: name: golang-go state: present

• name: git clone git: repo: "https://github.com/sammcj/NVApi.git" dest: "/home/ansible/NVapi" update: yes force: true

go run main.go -port 9999 -rate 1

• name: install systemd service become: true copy: src: nvapi.service dest: /etc/systemd/system/nvapi.service

• name: Reload systemd daemons, enable, and restart nvapi become: true systemd: name: nvapi daemon_reload: yes enabled: yes state: restarted ```

@ 9e69e420:d12360c2

Vice President J.D. Vance addressed the Munich Security Conference, criticizing European leaders for undermining free speech and traditional values. He claimed that the biggest threat to Europe is not from external enemies but from internal challenges. Vance condemned the arrest of a British man for praying near an abortion clinic and accused European politicians of censorship.

He urged leaders to combat illegal immigration and questioned their democratic practices. “There is a new sheriff in town,” he said, referring to President Trump. Vance's remarks were unexpected, as many anticipated discussions on security or Ukraine. His speech emphasized the need for Europe to share the defense burden to ensure stability and security.

@ c48e29f0:26e14c11

ESTABLISHMENT OF THE STRATEGIC BITCOIN RESERVE AND UNITED STATES DIGITAL ASSET STOCKPILE EXECUTIVE ORDER March 6, 2025

By the authority vested in me as President by the Constitution and the laws of the United States of America, it is hereby ordered:

Section 1. Background.

Bitcoin is the original cryptocurrency. The Bitcoin protocol permanently caps the total supply of bitcoin (BTC) at 21 million coins, and has never been hacked. As a result of its scarcity and security, Bitcoin is often referred to as “digital gold”. Because there is a fixed supply of BTC, there is a strategic advantage to being among the first nations to create a strategic bitcoin reserve. The United States Government currently holds a significant amount of BTC, but has not implemented a policy to maximize BTC’s strategic position as a unique store of value in the global financial system. Just as it is in our country’s interest to thoughtfully manage national ownership and control of any other resource, our Nation must harness, not limit, the power of digital assets for our prosperity.

Sec. 2. Policy.

It is the policy of the United States to establish a Strategic Bitcoin Reserve. It is further the policy of the United States to establish a United States Digital Asset Stockpile that can serve as a secure account for orderly and strategic management of the United States’ other digital asset holdings.

Sec. 3. Creation and Administration of the Strategic Bitcoin Reserve and United States Digital Asset Stockpile.

(a) The Secretary of the Treasury shall establish an office to administer and maintain control of custodial accounts collectively known as the “Strategic Bitcoin Reserve,” capitalized with all BTC held by the Department of the Treasury that was finally forfeited as part of criminal or civil asset forfeiture proceedings or in satisfaction of any civil money penalty imposed by any executive department or agency (agency) and that is not needed to satisfy requirements under 31 U.S.C. 9705 or released pursuant to subsection (d) of this section (Government BTC). Within 30 days of the date of this order, each agency shall review its authorities to transfer any Government BTC held by it to the Strategic Bitcoin Reserve and shall submit a report reflecting the result of that review to the Secretary of the Treasury. Government BTC deposited into the Strategic Bitcoin Reserve shall not be sold and shall be maintained as reserve assets of the United States utilized to meet governmental objectives in accordance with applicable law.

(b) The Secretary of the Treasury shall establish an office to administer and maintain control of custodial accounts collectively known as the “United States Digital Asset Stockpile,” capitalized with all digital assets owned by the Department of the Treasury, other than BTC, that were finally forfeited as part of criminal or civil asset forfeiture proceedings and that are not needed to satisfy requirements under 31 U.S.C. 9705 or released pursuant to subsection (d) of this section (Stockpile Assets). Within 30 days of the date of this order, each agency shall review its authorities to transfer any Stockpile Assets held by it to the United States Digital Asset Stockpile and shall submit a report reflecting the result of that review to the Secretary of the Treasury. The Secretary of the Treasury shall determine strategies for responsible stewardship of the United States Digital Asset Stockpile in accordance with applicable law.

(c) The Secretary of the Treasury and the Secretary of Commerce shall develop strategies for acquiring additional Government BTC provided that such strategies are budget neutral and do not impose incremental costs on United States taxpayers. However, the United States Government shall not acquire additional Stockpile Assets other than in connection with criminal or civil asset forfeiture proceedings or in satisfaction of any civil money penalty imposed by any agency without further executive or legislative action.

(d) “Government Digital Assets” means all Government BTC and all Stockpile Assets. The head of each agency shall not sell or otherwise dispose of any Government Digital Assets, except in connection with the Secretary of the Treasury’s exercise of his lawful authority and responsible stewardship of the United States Digital Asset Stockpile pursuant to subsection (b) of this section, or pursuant to an order from a court of competent jurisdiction, as required by law, or in cases where the Attorney General or other relevant agency head determines that the Government Digital Assets (or the proceeds from the sale or disposition thereof) can and should: (i) be returned to identifiable and verifiable victims of crime; (ii) be used for law enforcement operations;
(iii) be equitably shared with State and local law enforcement partners; or (iv) be released to satisfy requirements under 31 U.S.C. 9705, 28 U.S.C. 524(c), 18 U.S.C. 981, or 21 U.S.C. 881.

(e) Within 60 days of the date of this order, the Secretary of the Treasury shall deliver an evaluation of the legal and investment considerations for establishing and managing the Strategic Bitcoin Reserve and United States Digital Asset Stockpile going forward, including the accounts in which the Strategic Bitcoin Reserve and United States Digital Asset Stockpile should be located and the need for any legislation to operationalize any aspect of this order or the proper management and administration of such accounts.

Sec. 4. Accounting.

Within 30 days of the date of this order, the head of each agency shall provide the Secretary of the Treasury and the President’s Working Group on Digital Asset Markets with a full accounting of all Government Digital Assets in such agency’s possession, including any information regarding the custodial accounts in which such Government Digital Assets are currently held that would be necessary to facilitate a transfer of the Government Digital Assets to the Strategic Bitcoin Reserve or the United States Digital Asset Stockpile. If such agency holds no Government Digital Assets, such agency shall confirm such fact to the Secretary of the Treasury and the President’s Working Group on Digital Asset Markets within 30 days of the date of this order.

Sec. 5. General Provisions.

(a) Nothing in this order shall be construed to impair or otherwise affect: (i) the authority granted by law to an executive department or agency, or the head thereof; or (ii) the functions of the Director of the Office of Management and Budget relating to budgetary, administrative, or legislative proposals.

(b) This order shall be implemented consistent with applicable law and subject to the availability of appropriations.

(c) This order is not intended to, and does not, create any right or benefit, substantive or procedural, enforceable at law or in equity by any party against the United States, its departments, agencies, or entities, its officers, employees, or agents, or any other person.

THE WHITE HOUSE, March 6, 2025

@ 49814c0f:72d54ea1

Fiber is a Lightning-compatible peer-to-peer payment and swap network built on CKB, the base layer of Nervos Network. Fiber is designed to enable fast, secure, and efficient off-chain payment solutions, particularly for micropayments and high-frequency transactions.

Inspired by Bitcoin’s Lightning Network, Fiber leverages CKB’s unique architecture and offers the following key features:

• Multi-Asset Support: Fiber is not limited to a single currency; it supports transactions involving multiple assets, paving the way for complex cross-chain financial applications.
• Cross-Chain Interoperability: Fiber is natively designed to interact with Lightning Networks on other UTXO-based blockchains (such as Bitcoin), improving cross-chain asset liquidity and network compatibility.
• Flexible State Management: Thanks to CKB’s Cell model, Fiber efficiently manages channel states, reducing the complexity of off-chain interactions.
• Programmability: Built on CKB’s Turing-complete smart contracts architecture, Fiber enables more complex conditional execution and transaction rules, extending the use cases of payment channels.

This article presents a source code-level exploration of Fiber's architecture, key modules, as well as an overview of its future development plans.

Prerequisites

• Rust and Actor Framework: Fiber is entirely implemented in Rust and follows the Actor Model programming paradigm. It relies on the community-maintained slawlor/ractor framework.
• Lightning Network: Fiber follows the core principles of Lightning Network. Resources such as Mastering the Lightning Network and BOLTs are highly recommended for understanding the concepts.
• CKB Transactions and Contracts: Fiber interacts with CKB nodes via RPC, making a solid understanding of CKB contract development essential.

Key Modules

At a high level, a Fiber node consists of several key modules:

Overview

• Network Actor: Facilitates communication between nodes and channels, managing both internal and external messages along with related management operations.
• Network Graph: Maintains a node’s view of the entire network, storing data on all nodes and channels while dynamically updating through gossip messages. When receiving a payment request, a node uses the network graph to find a route to the recipient.
• PaymentSession: Manages the lifecycle of a payment.
• fiber-sphinx : A Rust library for Onion packet encryption and decryption. In Fiber, this ensures sensitive payment details are hidden from intermediate nodes, enhancing security and anonymity.
• Gossip: A protocol for sharing channel/node information, facilitating payment path discovery and updates.
• Watchtower: Monitors channels for fraudulent transactions. If a peer submits an outdated commitment transaction, the watchtower issues a revocation transaction as a penalty.
• Cross Hub: Enables cross-chain interoperability. For example, a payer can send Bitcoin through the Lightning Network, while the recipient receives CKB. The cross hub handles the conversion, mapping Bitcoin payments and invoices to Fiber’s system.
• Fiber-Scripts: A separate repository containing two main contracts:
  • Funding Lock: A contract for locking funds, utilizing the ckb-auth library to implement a 2-of-2 multi-signature scheme for channel funding.
  • Commitment Lock: Implements the Daric protocol as Fiber’s penalty mechanism to achieve optimal storage and bounded closure.

Efficient Channel Management with the Actor Model

The Lightning Network is essentially a peer-to-peer (P2P) system, where nodes communicate via network messages, updating internal states accordingly. The Actor Model aligns well with this setup:

One potential concern with the Actor Model is its memory footprint and runtime efficiency. We conducted a performance test, showing that 0.9 GB of memory can support 100,000 actors (each with a 1 KB state), processing 100 messages per actor within 10 seconds—demonstrating acceptable performance.

Unlike rust-lightning, which relies on complex locking mechanisms to maintain data consistency, Fiber’s Actor Model simplifies implementation by eliminating the need for locks to protect data updates. Messages are processed sequentially in an actor’s message queue. When a message handler completes its tasks, the updated channel state is written to the database, streamlining the persistence process.

Almost all modules in Fiber use the Actor Model. The Network Actor handles communication both within and across nodes. For example, if Node A wants to send an "Open Channel" message to Node B, the process follows these steps:

1. The Channel Actor in Node A (Actor 0 in this case) sends the message to the Network Actor in Node B.
2. The Network Actor transmits the message using Tentacle, a lower-level networking layer.
3. The Network Actor in Node B receives the message and forwards it to the corresponding Channel Actor(Actor 0/1/…/n).

For each new channel, Fiber creates a corresponding ChannelActor, where the ChannelActorState maintains all the necessary data for the channel.

Another major advantage of the Actor Model is its ability to map HTLC (Hash Time-Locked Contracts)-related operations directly to specific functions. For example, in the process of forwarding an HTLC across multiple nodes:

• Node A’s Actor 0 handles the AddTlc operation via handle_add_tlc_command.
• Node B’s Actor 1 handles the corresponding peer message via handle_add_tlc_peer_message.

The HTLC management within channels is one of the most complex aspects of the Lightning Network, primarily due to the dependency of channel state changes on peer interactions. Both sides of a channel can have simultaneous HTLC operations.

Fiber adopts rust-lightning’s approach of using a state machine to track HTLC states, where state transitions occur based on commitment_sign and revoke_and_ack messages. The AddTlc operation and state transitions for both peers are as follows:

Optimized Payment Processing and Multi-Hop Routing

Each Fiber node maintains a representation of the network through a Network Grap, essentially a bidirectional directed graph, where:

• Each Fiber node represents a vertex.
• Each channel represents an edge.

For privacy reasons, the actual balance partition of a channel is not broadcasted across the network. Instead, the edge weight represents the channel capacity.

Before initiating a payment, the sender performs pathfinding to discover a route to the recipient. If multiple paths available, the sender must determine the optimal one by considering various factors. Finding the best path in a graph with incomplete information is a complex engineering challenge. A detailed discussion of this issue can be found in Mastering Lightning Network.

In Fiber, users initiate payments via RPC requests. When a node receives a payment request, it creates a corresponding PaymentSession to track the payment lifecycle.

The quality of pathfinding directly impacts network efficiency and payment success rates. Currently, Fiber uses a variant of Dijkstra’s algorithm. The implementation can be found here.

However, unlike the standard Dijkstra algorithm, Fiber’s routing expands backward from the target toward the source. During the search, the algorithm considers multiple factors:

• Payment success probability
• Transaction fee
• HTLC lock time

Routes are ranked by computing a distance metric. Probability estimation is derived from past payment results and analysis, implemented in the eval_probability module.

Once the path is determined, the next step is to construct an Onion Packet. Then the source node sends an AddTlcCommand to start the payment. The payment status will be updated asynchronously. Whether the HTLC succeeds or fails, the network actor processes the result via event notifications.

Reliable Payment Retries and Failure Handling

Payments in Fiber may require multiple retries due to various factors, with a common failure scenario being:

• The channel capacity used in the Network Graph is an upper bound.
• The actual available liquidity might be insufficient to complete the payment.

When a payment fails due to liquidity constraints:

• The system returns an error and updates the Network Graph.
• The node automatically initiates a new pathfinding attempt.

This dynamic retry mechanism ensures that payments have a higher chance of success despite fluctuating network conditions.

Peer Broadcasting with Gossip Protocol

Fiber nodes exchange information about new nodes and channels by broadcasting messages. The Gossip module implements the routing gossip protocol defined in BOLTs 7. The key technical decisions were documented in the PR: Refactor gossip protocol.

When a node starts for the first time, it connects to its initial peers using addresses specified in the configuration file under bootnode_addrs.

Fiber supports three types of broadcast messages:

• NodeAnnouncement
• ChannelAnnouncement
• ChannelUpdate

The raw broadcast data received is stored in the storage module, allowing messages to be efficiently indexed using a combination of timestamp + message_id. This enables quicker responses to query requests from peer nodes.

When a node starts, the Graph module loads all stored messages using load_from_store to rebuild its network graph.

Fiber propagates gossip messages using a subscription-based model.

1. A node actively sends a broadcast message filter (BroadcastMessagesFilter) to a peer.
2. When the peer receives this filter, it creates a corresponding PeerFilterActor, which subscribes to gossip messages.

This subscription model allows nodes to efficiently receive newly stored gossip messages after a specific cursor, enabling them to dynamically update their network graph, because the network graph also subscribes to gossip messages. The logic for retrieving these messages is implemented in this section.

Enhancing Privacy with Onion Encryption & Decryption

For privacy and security consideration, payments’ TLC is propagated across multiple nodes using Onion encryption. Each node only accesses the minimal necessary details, such as:

• The amount of the received TLC
• The expiry of the TLC
• The next node in the payment route

This approach ensures that a node cannot access other sensitive details, including the total length of the payment route. The payment sender encrypts the payment details using onion encryption, and each hop must obfuscate the information before forwarding the TLC to the next node.

In case of an error occurs at any hop during payment forwarding, the affected node sends back an error message along the reverse route to the sender. This error message is also onion-encrypted, ensuring that intermediate nodes cannot decipher its content—only the sender can decrypt it.

We examined the onion packet implementation in rust-lightning and found it to be tightly coupled with rust-lightning’s internal data structures, limiting its generalization. Therefore, we built fiber-sphinx from scratch. For more details, refer to the project spec and the developer’s presentation slides.

The key Onion Encryption & Decryption steps in Fiber include:

• Creating the Onion Packet for Sending Payments

  Before sending a payment, the sender creates an onion packet, included in the AddTlcCommand sent to the first node in the payment route.

• Onion Decryption at Each Hop

  • When a node in the payment route receives a TLC, it decrypts one layer of the onion packet, similar to peeling an onion.
  • If the node is the final recipient, it processes the payment settlement logic.
  • If the node is not the recipient, it continues processing the TLC and then forwards the remaining onion packet to the next hop.

• Generating an Onion Packet for Error Messages

  If an error occurs during TLC forwarding, the node creates a new onion packet containing the error message and sends it back to the previous node.

• Decrypting Error Messages at the Payment Sender

  When the sender receives a TLC fail event, it decrypts the onion packet containing the error. Based on the error details, the sender can decide whether to resend and update the network graph accordingly.

Preventing Channels from Fraud via Watchtower

Watchtower is an important security mechanism in the Lightning Network, primarily used to protect offline users from potential fund theft. It maintains fairness and security by real-time monitoring on-chain transactions and executing penalty transactions when violations are detected.

Fiber's watchtower implementation is in the WatchtowerActor. This actor listens for key events in the Fiber node. For example：

• When a new channel is created, it receives a RemoteTxComplete event, while the watchtower inserts a corresponding record into the database to start monitoring this channel.
• When the channel is closed through upon mutual agreement, it receives a ChannelClosed event, while the watchtower removes the corresponding record from the database.

During TLC interactions in the channel, the watchtower receives RemoteCommitmentSigned and RevokeAndAckReceived events, updating the revocation_data and settlement_data stored in the database respectively. These fields will be used later to create revocation and settlement transactions.

Watchtower's penalty mechanism ensures that old commitment transactions are not used in a on-chain transaction by comparing the commitment_number. If a violation is detected, the watchtower constructs a revocation transaction and submits it on-chain to penalize the offender. Otherwise, it constructs and sends a settlement transaction.

Other Technical Decisions

• Storage: We use RocksDB as the storage layer, leveraging its scheme-less storage design to simplify encoding and decoding structs with serde. Data migration remains a challenge, which we address by this standalone program.
• Serialization: Messages between nodes are serialized and deserialized using Molecule, bringing efficiency, compatibility, and security advantages. It ensures determinism, meaning the same message serializes identically on all nodes, which is crucial for signature generation and verification.

Future Prospects

Fiber is still in the early stages of active development. Looking ahead, we plan to make further improvements in the following areas:

• Fix unhandled corner cases to enhance overall robustness;
• Improve the cross-chain hub (currently in the prototype verification stage) by introducing payment session functionality to make cross-chain transactions more user-friendly;
• Refine the payment routing algorithm, potentially introducing multi-path feature and other path-finding strategies to accommodate diverse user preferences and needs;
• Expand contract functionality, including version-based revocation mechanisms and more secure Point Time-Locked Contracts.

@ e3ba5e1a:5e433365

My favorite line in any Marvel movie ever is in “Captain America.” After Captain America launches seemingly a hopeless assault on Red Skull’s base and is captured, we get this line:

“Arrogance may not be a uniquely American trait, but I must say, you do it better than anyone.”

Yesterday, I came across a comment on the song Devil Went Down to Georgia that had a very similar feel to it:

America has seemingly always been arrogant, in a uniquely American way. Manifest Destiny, for instance. The rest of the world is aware of this arrogance, and mocks Americans for it. A central point in modern US politics is the deriding of racist, nationalist, supremacist Americans.

That’s not what I see. I see American Arrogance as not only a beautiful statement about what it means to be American. I see it as an ode to the greatness of humanity in its purest form.

For most countries, saying “our nation is the greatest” is, in fact, twinged with some level of racism. I still don’t have a problem with it. Every group of people should be allowed to feel pride in their accomplishments. The destruction of the human spirit since the end of World War 2, where greatness has become a sin and weakness a virtue, has crushed the ability of people worldwide to strive for excellence.

But I digress. The fears of racism and nationalism at least have a grain of truth when applied to other nations on the planet. But not to America.

That’s because the definition of America, and the prototype of an American, has nothing to do with race. The definition of Americanism is freedom. The founding of America is based purely on liberty. On the God-given rights of every person to live life the way they see fit.

American Arrogance is not a statement of racial superiority. It’s barely a statement of national superiority (though it absolutely is). To me, when an American comments on the greatness of America, it’s a statement about freedom. Freedom will always unlock the greatness inherent in any group of people. Americans are definitionally better than everyone else, because Americans are freer than everyone else. (Or, at least, that’s how it should be.)

In Devil Went Down to Georgia, Johnny is approached by the devil himself. He is challenged to a ridiculously lopsided bet: a golden fiddle versus his immortal soul. He acknowledges the sin in accepting such a proposal. And yet he says, “God, I know you told me not to do this. But I can’t stand the affront to my honor. I am the greatest. The devil has nothing on me. So God, I’m gonna sin, but I’m also gonna win.”

Libertas magnitudo est

@ 6f6b50bb:a848e5a1

Che cosa significherebbe trattare l'IA come uno strumento invece che come una persona?

Dall’avvio di ChatGPT, le esplorazioni in due direzioni hanno preso velocità.

La prima direzione riguarda le capacità tecniche. Quanto grande possiamo addestrare un modello? Quanto bene può rispondere alle domande del SAT? Con quanta efficienza possiamo distribuirlo?

La seconda direzione riguarda il design dell’interazione. Come comunichiamo con un modello? Come possiamo usarlo per un lavoro utile? Quale metafora usiamo per ragionare su di esso?

La prima direzione è ampiamente seguita e enormemente finanziata, e per una buona ragione: i progressi nelle capacità tecniche sono alla base di ogni possibile applicazione. Ma la seconda è altrettanto cruciale per il campo e ha enormi incognite. Siamo solo a pochi anni dall’inizio dell’era dei grandi modelli. Quali sono le probabilità che abbiamo già capito i modi migliori per usarli?

Propongo una nuova modalità di interazione, in cui i modelli svolgano il ruolo di applicazioni informatiche (ad esempio app per telefoni): fornendo un’interfaccia grafica, interpretando gli input degli utenti e aggiornando il loro stato. In questa modalità, invece di essere un “agente” che utilizza un computer per conto dell’essere umano, l’IA può fornire un ambiente informatico più ricco e potente che possiamo utilizzare.

Metafore per l’interazione

Al centro di un’interazione c’è una metafora che guida le aspettative di un utente su un sistema. I primi giorni dell’informatica hanno preso metafore come “scrivanie”, “macchine da scrivere”, “fogli di calcolo” e “lettere” e le hanno trasformate in equivalenti digitali, permettendo all’utente di ragionare sul loro comportamento. Puoi lasciare qualcosa sulla tua scrivania e tornare a prenderlo; hai bisogno di un indirizzo per inviare una lettera. Man mano che abbiamo sviluppato una conoscenza culturale di questi dispositivi, la necessità di queste particolari metafore è scomparsa, e con esse i design di interfaccia skeumorfici che le rafforzavano. Come un cestino o una matita, un computer è ora una metafora di se stesso.

La metafora dominante per i grandi modelli oggi è modello-come-persona. Questa è una metafora efficace perché le persone hanno capacità estese che conosciamo intuitivamente. Implica che possiamo avere una conversazione con un modello e porgli domande; che il modello possa collaborare con noi su un documento o un pezzo di codice; che possiamo assegnargli un compito da svolgere da solo e che tornerà quando sarà finito.

Tuttavia, trattare un modello come una persona limita profondamente il nostro modo di pensare all’interazione con esso. Le interazioni umane sono intrinsecamente lente e lineari, limitate dalla larghezza di banda e dalla natura a turni della comunicazione verbale. Come abbiamo tutti sperimentato, comunicare idee complesse in una conversazione è difficile e dispersivo. Quando vogliamo precisione, ci rivolgiamo invece a strumenti, utilizzando manipolazioni dirette e interfacce visive ad alta larghezza di banda per creare diagrammi, scrivere codice e progettare modelli CAD. Poiché concepiamo i modelli come persone, li utilizziamo attraverso conversazioni lente, anche se sono perfettamente in grado di accettare input diretti e rapidi e di produrre risultati visivi. Le metafore che utilizziamo limitano le esperienze che costruiamo, e la metafora modello-come-persona ci impedisce di esplorare il pieno potenziale dei grandi modelli.

Per molti casi d’uso, e specialmente per il lavoro produttivo, credo che il futuro risieda in un’altra metafora: modello-come-computer.

Usare un’IA come un computer

Sotto la metafora modello-come-computer, interagiremo con i grandi modelli seguendo le intuizioni che abbiamo sulle applicazioni informatiche (sia su desktop, tablet o telefono). Nota che ciò non significa che il modello sarà un’app tradizionale più di quanto il desktop di Windows fosse una scrivania letterale. “Applicazione informatica” sarà un modo per un modello di rappresentarsi a noi. Invece di agire come una persona, il modello agirà come un computer.

Agire come un computer significa produrre un’interfaccia grafica. Al posto del flusso lineare di testo in stile telescrivente fornito da ChatGPT, un sistema modello-come-computer genererà qualcosa che somiglia all’interfaccia di un’applicazione moderna: pulsanti, cursori, schede, immagini, grafici e tutto il resto. Questo affronta limitazioni chiave dell’interfaccia di chat standard modello-come-persona:

• Scoperta. Un buon strumento suggerisce i suoi usi. Quando l’unica interfaccia è una casella di testo vuota, spetta all’utente capire cosa fare e comprendere i limiti del sistema. La barra laterale Modifica in Lightroom è un ottimo modo per imparare l’editing fotografico perché non si limita a dirti cosa può fare questa applicazione con una foto, ma cosa potresti voler fare. Allo stesso modo, un’interfaccia modello-come-computer per DALL-E potrebbe mostrare nuove possibilità per le tue generazioni di immagini.

• Efficienza. La manipolazione diretta è più rapida che scrivere una richiesta a parole. Per continuare l’esempio di Lightroom, sarebbe impensabile modificare una foto dicendo a una persona quali cursori spostare e di quanto. Ci vorrebbe un giorno intero per chiedere un’esposizione leggermente più bassa e una vibranza leggermente più alta, solo per vedere come apparirebbe. Nella metafora modello-come-computer, il modello può creare strumenti che ti permettono di comunicare ciò che vuoi più efficientemente e quindi di fare le cose più rapidamente.

A differenza di un’app tradizionale, questa interfaccia grafica è generata dal modello su richiesta. Questo significa che ogni parte dell’interfaccia che vedi è rilevante per ciò che stai facendo in quel momento, inclusi i contenuti specifici del tuo lavoro. Significa anche che, se desideri un’interfaccia più ampia o diversa, puoi semplicemente richiederla. Potresti chiedere a DALL-E di produrre alcuni preset modificabili per le sue impostazioni ispirati da famosi artisti di schizzi. Quando clicchi sul preset Leonardo da Vinci, imposta i cursori per disegni prospettici altamente dettagliati in inchiostro nero. Se clicchi su Charles Schulz, seleziona fumetti tecnicolor 2D a basso dettaglio.

Una bicicletta della mente proteiforme

La metafora modello-come-persona ha una curiosa tendenza a creare distanza tra l’utente e il modello, rispecchiando il divario di comunicazione tra due persone che può essere ridotto ma mai completamente colmato. A causa della difficoltà e del costo di comunicare a parole, le persone tendono a suddividere i compiti tra loro in blocchi grandi e il più indipendenti possibile. Le interfacce modello-come-persona seguono questo schema: non vale la pena dire a un modello di aggiungere un return statement alla tua funzione quando è più veloce scriverlo da solo. Con il sovraccarico della comunicazione, i sistemi modello-come-persona sono più utili quando possono fare un intero blocco di lavoro da soli. Fanno le cose per te.

Questo contrasta con il modo in cui interagiamo con i computer o altri strumenti. Gli strumenti producono feedback visivi in tempo reale e sono controllati attraverso manipolazioni dirette. Hanno un overhead comunicativo così basso che non è necessario specificare un blocco di lavoro indipendente. Ha più senso mantenere l’umano nel loop e dirigere lo strumento momento per momento. Come stivali delle sette leghe, gli strumenti ti permettono di andare più lontano a ogni passo, ma sei ancora tu a fare il lavoro. Ti permettono di fare le cose più velocemente.

Considera il compito di costruire un sito web usando un grande modello. Con le interfacce di oggi, potresti trattare il modello come un appaltatore o un collaboratore. Cercheresti di scrivere a parole il più possibile su come vuoi che il sito appaia, cosa vuoi che dica e quali funzionalità vuoi che abbia. Il modello genererebbe una prima bozza, tu la eseguirai e poi fornirai un feedback. “Fai il logo un po’ più grande”, diresti, e “centra quella prima immagine principale”, e “deve esserci un pulsante di login nell’intestazione”. Per ottenere esattamente ciò che vuoi, invierai una lista molto lunga di richieste sempre più minuziose.

Un’interazione alternativa modello-come-computer sarebbe diversa: invece di costruire il sito web, il modello genererebbe un’interfaccia per te per costruirlo, dove ogni input dell’utente a quell’interfaccia interroga il grande modello sotto il cofano. Forse quando descrivi le tue necessità creerebbe un’interfaccia con una barra laterale e una finestra di anteprima. All’inizio la barra laterale contiene solo alcuni schizzi di layout che puoi scegliere come punto di partenza. Puoi cliccare su ciascuno di essi, e il modello scrive l’HTML per una pagina web usando quel layout e lo visualizza nella finestra di anteprima. Ora che hai una pagina su cui lavorare, la barra laterale guadagna opzioni aggiuntive che influenzano la pagina globalmente, come accoppiamenti di font e schemi di colore. L’anteprima funge da editor WYSIWYG, permettendoti di afferrare elementi e spostarli, modificarne i contenuti, ecc. A supportare tutto ciò è il modello, che vede queste azioni dell’utente e riscrive la pagina per corrispondere ai cambiamenti effettuati. Poiché il modello può generare un’interfaccia per aiutare te e lui a comunicare più efficientemente, puoi esercitare più controllo sul prodotto finale in meno tempo.

La metafora modello-come-computer ci incoraggia a pensare al modello come a uno strumento con cui interagire in tempo reale piuttosto che a un collaboratore a cui assegnare compiti. Invece di sostituire un tirocinante o un tutor, può essere una sorta di bicicletta proteiforme per la mente, una che è sempre costruita su misura esattamente per te e il terreno che intendi attraversare.

Un nuovo paradigma per l’informatica?

I modelli che possono generare interfacce su richiesta sono una frontiera completamente nuova nell’informatica. Potrebbero essere un paradigma del tutto nuovo, con il modo in cui cortocircuitano il modello di applicazione esistente. Dare agli utenti finali il potere di creare e modificare app al volo cambia fondamentalmente il modo in cui interagiamo con i computer. Al posto di una singola applicazione statica costruita da uno sviluppatore, un modello genererà un’applicazione su misura per l’utente e le sue esigenze immediate. Al posto della logica aziendale implementata nel codice, il modello interpreterà gli input dell’utente e aggiornerà l’interfaccia utente. È persino possibile che questo tipo di interfaccia generativa sostituisca completamente il sistema operativo, generando e gestendo interfacce e finestre al volo secondo necessità.

All’inizio, l’interfaccia generativa sarà un giocattolo, utile solo per l’esplorazione creativa e poche altre applicazioni di nicchia. Dopotutto, nessuno vorrebbe un’app di posta elettronica che occasionalmente invia email al tuo ex e mente sulla tua casella di posta. Ma gradualmente i modelli miglioreranno. Anche mentre si spingeranno ulteriormente nello spazio di esperienze completamente nuove, diventeranno lentamente abbastanza affidabili da essere utilizzati per un lavoro reale.

Piccoli pezzi di questo futuro esistono già. Anni fa Jonas Degrave ha dimostrato che ChatGPT poteva fare una buona simulazione di una riga di comando Linux. Allo stesso modo, websim.ai utilizza un LLM per generare siti web su richiesta mentre li navighi. Oasis, GameNGen e DIAMOND addestrano modelli video condizionati sull’azione su singoli videogiochi, permettendoti di giocare ad esempio a Doom dentro un grande modello. E Genie 2 genera videogiochi giocabili da prompt testuali. L’interfaccia generativa potrebbe ancora sembrare un’idea folle, ma non è così folle.

Ci sono enormi domande aperte su come apparirà tutto questo. Dove sarà inizialmente utile l’interfaccia generativa? Come condivideremo e distribuiremo le esperienze che creiamo collaborando con il modello, se esistono solo come contesto di un grande modello? Vorremmo davvero farlo? Quali nuovi tipi di esperienze saranno possibili? Come funzionerà tutto questo in pratica? I modelli genereranno interfacce come codice o produrranno direttamente pixel grezzi?

Non conosco ancora queste risposte. Dovremo sperimentare e scoprirlo!Che cosa significherebbe trattare l'IA come uno strumento invece che come una persona?

Dall’avvio di ChatGPT, le esplorazioni in due direzioni hanno preso velocità.

La prima direzione riguarda le capacità tecniche. Quanto grande possiamo addestrare un modello? Quanto bene può rispondere alle domande del SAT? Con quanta efficienza possiamo distribuirlo?

La seconda direzione riguarda il design dell’interazione. Come comunichiamo con un modello? Come possiamo usarlo per un lavoro utile? Quale metafora usiamo per ragionare su di esso?

La prima direzione è ampiamente seguita e enormemente finanziata, e per una buona ragione: i progressi nelle capacità tecniche sono alla base di ogni possibile applicazione. Ma la seconda è altrettanto cruciale per il campo e ha enormi incognite. Siamo solo a pochi anni dall’inizio dell’era dei grandi modelli. Quali sono le probabilità che abbiamo già capito i modi migliori per usarli?

Propongo una nuova modalità di interazione, in cui i modelli svolgano il ruolo di applicazioni informatiche (ad esempio app per telefoni): fornendo un’interfaccia grafica, interpretando gli input degli utenti e aggiornando il loro stato. In questa modalità, invece di essere un “agente” che utilizza un computer per conto dell’essere umano, l’IA può fornire un ambiente informatico più ricco e potente che possiamo utilizzare.

Metafore per l’interazione

Al centro di un’interazione c’è una metafora che guida le aspettative di un utente su un sistema. I primi giorni dell’informatica hanno preso metafore come “scrivanie”, “macchine da scrivere”, “fogli di calcolo” e “lettere” e le hanno trasformate in equivalenti digitali, permettendo all’utente di ragionare sul loro comportamento. Puoi lasciare qualcosa sulla tua scrivania e tornare a prenderlo; hai bisogno di un indirizzo per inviare una lettera. Man mano che abbiamo sviluppato una conoscenza culturale di questi dispositivi, la necessità di queste particolari metafore è scomparsa, e con esse i design di interfaccia skeumorfici che le rafforzavano. Come un cestino o una matita, un computer è ora una metafora di se stesso.

La metafora dominante per i grandi modelli oggi è modello-come-persona. Questa è una metafora efficace perché le persone hanno capacità estese che conosciamo intuitivamente. Implica che possiamo avere una conversazione con un modello e porgli domande; che il modello possa collaborare con noi su un documento o un pezzo di codice; che possiamo assegnargli un compito da svolgere da solo e che tornerà quando sarà finito.

Tuttavia, trattare un modello come una persona limita profondamente il nostro modo di pensare all’interazione con esso. Le interazioni umane sono intrinsecamente lente e lineari, limitate dalla larghezza di banda e dalla natura a turni della comunicazione verbale. Come abbiamo tutti sperimentato, comunicare idee complesse in una conversazione è difficile e dispersivo. Quando vogliamo precisione, ci rivolgiamo invece a strumenti, utilizzando manipolazioni dirette e interfacce visive ad alta larghezza di banda per creare diagrammi, scrivere codice e progettare modelli CAD. Poiché concepiamo i modelli come persone, li utilizziamo attraverso conversazioni lente, anche se sono perfettamente in grado di accettare input diretti e rapidi e di produrre risultati visivi. Le metafore che utilizziamo limitano le esperienze che costruiamo, e la metafora modello-come-persona ci impedisce di esplorare il pieno potenziale dei grandi modelli.

Per molti casi d’uso, e specialmente per il lavoro produttivo, credo che il futuro risieda in un’altra metafora: modello-come-computer.

Usare un’IA come un computer

Sotto la metafora modello-come-computer, interagiremo con i grandi modelli seguendo le intuizioni che abbiamo sulle applicazioni informatiche (sia su desktop, tablet o telefono). Nota che ciò non significa che il modello sarà un’app tradizionale più di quanto il desktop di Windows fosse una scrivania letterale. “Applicazione informatica” sarà un modo per un modello di rappresentarsi a noi. Invece di agire come una persona, il modello agirà come un computer.

Agire come un computer significa produrre un’interfaccia grafica. Al posto del flusso lineare di testo in stile telescrivente fornito da ChatGPT, un sistema modello-come-computer genererà qualcosa che somiglia all’interfaccia di un’applicazione moderna: pulsanti, cursori, schede, immagini, grafici e tutto il resto. Questo affronta limitazioni chiave dell’interfaccia di chat standard modello-come-persona:

Scoperta. Un buon strumento suggerisce i suoi usi. Quando l’unica interfaccia è una casella di testo vuota, spetta all’utente capire cosa fare e comprendere i limiti del sistema. La barra laterale Modifica in Lightroom è un ottimo modo per imparare l’editing fotografico perché non si limita a dirti cosa può fare questa applicazione con una foto, ma cosa potresti voler fare. Allo stesso modo, un’interfaccia modello-come-computer per DALL-E potrebbe mostrare nuove possibilità per le tue generazioni di immagini.

Efficienza. La manipolazione diretta è più rapida che scrivere una richiesta a parole. Per continuare l’esempio di Lightroom, sarebbe impensabile modificare una foto dicendo a una persona quali cursori spostare e di quanto. Ci vorrebbe un giorno intero per chiedere un’esposizione leggermente più bassa e una vibranza leggermente più alta, solo per vedere come apparirebbe. Nella metafora modello-come-computer, il modello può creare strumenti che ti permettono di comunicare ciò che vuoi più efficientemente e quindi di fare le cose più rapidamente.

A differenza di un’app tradizionale, questa interfaccia grafica è generata dal modello su richiesta. Questo significa che ogni parte dell’interfaccia che vedi è rilevante per ciò che stai facendo in quel momento, inclusi i contenuti specifici del tuo lavoro. Significa anche che, se desideri un’interfaccia più ampia o diversa, puoi semplicemente richiederla. Potresti chiedere a DALL-E di produrre alcuni preset modificabili per le sue impostazioni ispirati da famosi artisti di schizzi. Quando clicchi sul preset Leonardo da Vinci, imposta i cursori per disegni prospettici altamente dettagliati in inchiostro nero. Se clicchi su Charles Schulz, seleziona fumetti tecnicolor 2D a basso dettaglio.

Una bicicletta della mente proteiforme

La metafora modello-come-persona ha una curiosa tendenza a creare distanza tra l’utente e il modello, rispecchiando il divario di comunicazione tra due persone che può essere ridotto ma mai completamente colmato. A causa della difficoltà e del costo di comunicare a parole, le persone tendono a suddividere i compiti tra loro in blocchi grandi e il più indipendenti possibile. Le interfacce modello-come-persona seguono questo schema: non vale la pena dire a un modello di aggiungere un return statement alla tua funzione quando è più veloce scriverlo da solo. Con il sovraccarico della comunicazione, i sistemi modello-come-persona sono più utili quando possono fare un intero blocco di lavoro da soli. Fanno le cose per te.

Questo contrasta con il modo in cui interagiamo con i computer o altri strumenti. Gli strumenti producono feedback visivi in tempo reale e sono controllati attraverso manipolazioni dirette. Hanno un overhead comunicativo così basso che non è necessario specificare un blocco di lavoro indipendente. Ha più senso mantenere l’umano nel loop e dirigere lo strumento momento per momento. Come stivali delle sette leghe, gli strumenti ti permettono di andare più lontano a ogni passo, ma sei ancora tu a fare il lavoro. Ti permettono di fare le cose più velocemente.

Considera il compito di costruire un sito web usando un grande modello. Con le interfacce di oggi, potresti trattare il modello come un appaltatore o un collaboratore. Cercheresti di scrivere a parole il più possibile su come vuoi che il sito appaia, cosa vuoi che dica e quali funzionalità vuoi che abbia. Il modello genererebbe una prima bozza, tu la eseguirai e poi fornirai un feedback. “Fai il logo un po’ più grande”, diresti, e “centra quella prima immagine principale”, e “deve esserci un pulsante di login nell’intestazione”. Per ottenere esattamente ciò che vuoi, invierai una lista molto lunga di richieste sempre più minuziose.

Un’interazione alternativa modello-come-computer sarebbe diversa: invece di costruire il sito web, il modello genererebbe un’interfaccia per te per costruirlo, dove ogni input dell’utente a quell’interfaccia interroga il grande modello sotto il cofano. Forse quando descrivi le tue necessità creerebbe un’interfaccia con una barra laterale e una finestra di anteprima. All’inizio la barra laterale contiene solo alcuni schizzi di layout che puoi scegliere come punto di partenza. Puoi cliccare su ciascuno di essi, e il modello scrive l’HTML per una pagina web usando quel layout e lo visualizza nella finestra di anteprima. Ora che hai una pagina su cui lavorare, la barra laterale guadagna opzioni aggiuntive che influenzano la pagina globalmente, come accoppiamenti di font e schemi di colore. L’anteprima funge da editor WYSIWYG, permettendoti di afferrare elementi e spostarli, modificarne i contenuti, ecc. A supportare tutto ciò è il modello, che vede queste azioni dell’utente e riscrive la pagina per corrispondere ai cambiamenti effettuati. Poiché il modello può generare un’interfaccia per aiutare te e lui a comunicare più efficientemente, puoi esercitare più controllo sul prodotto finale in meno tempo.

La metafora modello-come-computer ci incoraggia a pensare al modello come a uno strumento con cui interagire in tempo reale piuttosto che a un collaboratore a cui assegnare compiti. Invece di sostituire un tirocinante o un tutor, può essere una sorta di bicicletta proteiforme per la mente, una che è sempre costruita su misura esattamente per te e il terreno che intendi attraversare.

Un nuovo paradigma per l’informatica?

I modelli che possono generare interfacce su richiesta sono una frontiera completamente nuova nell’informatica. Potrebbero essere un paradigma del tutto nuovo, con il modo in cui cortocircuitano il modello di applicazione esistente. Dare agli utenti finali il potere di creare e modificare app al volo cambia fondamentalmente il modo in cui interagiamo con i computer. Al posto di una singola applicazione statica costruita da uno sviluppatore, un modello genererà un’applicazione su misura per l’utente e le sue esigenze immediate. Al posto della logica aziendale implementata nel codice, il modello interpreterà gli input dell’utente e aggiornerà l’interfaccia utente. È persino possibile che questo tipo di interfaccia generativa sostituisca completamente il sistema operativo, generando e gestendo interfacce e finestre al volo secondo necessità.

All’inizio, l’interfaccia generativa sarà un giocattolo, utile solo per l’esplorazione creativa e poche altre applicazioni di nicchia. Dopotutto, nessuno vorrebbe un’app di posta elettronica che occasionalmente invia email al tuo ex e mente sulla tua casella di posta. Ma gradualmente i modelli miglioreranno. Anche mentre si spingeranno ulteriormente nello spazio di esperienze completamente nuove, diventeranno lentamente abbastanza affidabili da essere utilizzati per un lavoro reale.

Piccoli pezzi di questo futuro esistono già. Anni fa Jonas Degrave ha dimostrato che ChatGPT poteva fare una buona simulazione di una riga di comando Linux. Allo stesso modo, websim.ai utilizza un LLM per generare siti web su richiesta mentre li navighi. Oasis, GameNGen e DIAMOND addestrano modelli video condizionati sull’azione su singoli videogiochi, permettendoti di giocare ad esempio a Doom dentro un grande modello. E Genie 2 genera videogiochi giocabili da prompt testuali. L’interfaccia generativa potrebbe ancora sembrare un’idea folle, ma non è così folle.

Ci sono enormi domande aperte su come apparirà tutto questo. Dove sarà inizialmente utile l’interfaccia generativa? Come condivideremo e distribuiremo le esperienze che creiamo collaborando con il modello, se esistono solo come contesto di un grande modello? Vorremmo davvero farlo? Quali nuovi tipi di esperienze saranno possibili? Come funzionerà tutto questo in pratica? I modelli genereranno interfacce come codice o produrranno direttamente pixel grezzi?

Non conosco ancora queste risposte. Dovremo sperimentare e scoprirlo!

Tradotto da:\ https://willwhitney.com/computing-inside-ai.htmlhttps://willwhitney.com/computing-inside-ai.html

@ e6817453:b0ac3c39

I started a long series of articles about how to model different types of knowledge graphs in the relational model, which makes on-device memory models for AI agents possible.

We model-directed graphs

Also, graphs of entities

We even model hypergraphs

Last time, we discussed why classical triple and simple knowledge graphs are insufficient for AI agents and complex memory, especially in the domain of time-aware or multi-model knowledge.

So why do we need metagraphs, and what kind of challenge could they help us to solve?

• complex and nested event and temporal context and temporal relations as edges
• multi-mode and multilingual knowledge
• human-like memory for AI agents that has multiple contexts and relations between knowledge in neuron-like networks

MetaGraphs

A meta graph is a concept that extends the idea of a graph by allowing edges to become graphs. Meta Edges connect a set of nodes, which could also be subgraphs. So, at some level, node and edge are pretty similar in properties but act in different roles in a different context.
Also, in some cases, edges could be referenced as nodes.
This approach enables the representation of more complex relationships and hierarchies than a traditional graph structure allows. Let’s break down each term to understand better metagraphs and how they differ from hypergraphs and graphs.

Graph Basics

• A standard graph has a set of nodes (or vertices) and edges (connections between nodes).
• Edges are generally simple and typically represent a binary relationship between two nodes.
• For instance, an edge in a social network graph might indicate a “friend” relationship between two people (nodes).

Hypergraph

• A hypergraph extends the concept of an edge by allowing it to connect any number of nodes, not just two.
• Each connection, called a hyperedge, can link multiple nodes.
• This feature allows hypergraphs to model more complex relationships involving multiple entities simultaneously. For example, a hyperedge in a hypergraph could represent a project team, connecting all team members in a single relation.
• Despite its flexibility, a hypergraph doesn’t capture hierarchical or nested structures; it only generalizes the number of connections in an edge.

Metagraph

• A metagraph allows the edges to be graphs themselves. This means each edge can contain its own nodes and edges, creating nested, hierarchical structures.
• In a meta graph, an edge could represent a relationship defined by a graph. For instance, a meta graph could represent a network of organizations where each organization’s structure (departments and connections) is represented by its own internal graph and treated as an edge in the larger meta graph.
• This recursive structure allows metagraphs to model complex data with multiple layers of abstraction. They can capture multi-node relationships (as in hypergraphs) and detailed, structured information about each relationship.

Named Graphs and Graph of Graphs

As you can notice, the structure of a metagraph is quite complex and could be complex to model in relational and classical RDF setups. It could create a challenge of luck of tools and software solutions for your problem.
If you need to model nested graphs, you could use a much simpler model of Named graphs, which could take you quite far.

The concept of the named graph came from the RDF community, which needed to group some sets of triples. In this way, you form subgraphs inside an existing graph. You could refer to the subgraph as a regular node. This setup simplifies complex graphs, introduces hierarchies, and even adds features and properties of hypergraphs while keeping a directed nature.

It looks complex, but it is not so hard to model it with a slight modification of a directed graph.
So, the node could host graphs inside. Let's reflect this fact with a location for a node. If a node belongs to a main graph, we could set the location to null or introduce a main node . it is up to you

Nodes could have edges to nodes in different subgraphs. This structure allows any kind of nesting graphs. Edges stay location-free

Meta Graphs in Relational Model

Let’s try to make several attempts to model different meta-graphs with some constraints.

Directed Metagraph where edges are not used as nodes and could not contain subgraphs

In this case, the edge always points to two sets of nodes. This introduces an overhead of creating a node set for a single node. In this model, we can model empty node sets that could require application-level constraints to prevent such cases.

Directed Metagraph where edges are not used as nodes and could contain subgraphs

Adding a node set that could model a subgraph located in an edge is easy but could be separate from in-vertex or out-vert.
I also do not see a direct need to include subgraphs to a node, as we could just use a node set interchangeably, but it still could be a case.

Directed Metagraph where edges are used as nodes and could contain subgraphs

As you can notice, we operate all the time with node sets. We could simply allow the extension node set to elements set that include node and edge IDs, but in this case, we need to use uuid or any other strategy to differentiate node IDs from edge IDs. In this case, we have a collision of ephemeral edges or ephemeral nodes when we want to change the role and purpose of the node as an edge or vice versa.

A full-scale metagraph model is way too complex for a relational database.
So we need a better model.

Now, we have more flexibility but loose structural constraints. We cannot show that the element should have one vertex, one vertex, or both. This type of constraint has been moved to the application level. Also, the crucial question is about query and retrieval needs.
Any meta-graph model should be more focused on domain and needs and should be used in raw form. We did it for a pure theoretical purpose.

@ e6817453:b0ac3c39

Hey folks! Today, let’s dive into the intriguing world of neurosymbolic approaches, retrieval-augmented generation (RAG), and personal knowledge graphs (PKGs). Together, these concepts hold much potential for bringing true reasoning capabilities to large language models (LLMs). So, let’s break down how symbolic logic, knowledge graphs, and modern AI can come together to empower future AI systems to reason like humans.

The Neurosymbolic Approach: What It Means ?

Neurosymbolic AI combines two historically separate streams of artificial intelligence: symbolic reasoning and neural networks. Symbolic AI uses formal logic to process knowledge, similar to how we might solve problems or deduce information. On the other hand, neural networks, like those underlying GPT-4, focus on learning patterns from vast amounts of data — they are probabilistic statistical models that excel in generating human-like language and recognizing patterns but often lack deep, explicit reasoning.

While GPT-4 can produce impressive text, it’s still not very effective at reasoning in a truly logical way. Its foundation, transformers, allows it to excel in pattern recognition, but the models struggle with reasoning because, at their core, they rely on statistical probabilities rather than true symbolic logic. This is where neurosymbolic methods and knowledge graphs come in.

Symbolic Calculations and the Early Vision of AI

If we take a step back to the 1950s, the vision for artificial intelligence was very different. Early AI research was all about symbolic reasoning — where computers could perform logical calculations to derive new knowledge from a given set of rules and facts. Languages like Lisp emerged to support this vision, enabling programs to represent data and code as interchangeable symbols. Lisp was designed to be homoiconic, meaning it treated code as manipulatable data, making it capable of self-modification — a huge leap towards AI systems that could, in theory, understand and modify their own operations.

Lisp: The Earlier AI-Language

Lisp, short for “LISt Processor,” was developed by John McCarthy in 1958, and it became the cornerstone of early AI research. Lisp’s power lay in its flexibility and its use of symbolic expressions, which allowed developers to create programs that could manipulate symbols in ways that were very close to human reasoning. One of the most groundbreaking features of Lisp was its ability to treat code as data, known as homoiconicity, which meant that Lisp programs could introspect and transform themselves dynamically. This ability to adapt and modify its own structure gave Lisp an edge in tasks that required a form of self-awareness, which was key in the early days of AI when researchers were exploring what it meant for machines to “think.”

Lisp was not just a programming language—it represented the vision for artificial intelligence, where machines could evolve their understanding and rewrite their own programming. This idea formed the conceptual basis for many of the self-modifying and adaptive algorithms that are still explored today in AI research. Despite its decline in mainstream programming, Lisp’s influence can still be seen in the concepts used in modern machine learning and symbolic AI approaches.

Prolog: Formal Logic and Deductive Reasoning

In the 1970s, Prolog was developed—a language focused on formal logic and deductive reasoning. Unlike Lisp, based on lambda calculus, Prolog operates on formal logic rules, allowing it to perform deductive reasoning and solve logical puzzles. This made Prolog an ideal candidate for expert systems that needed to follow a sequence of logical steps, such as medical diagnostics or strategic planning.

Prolog, like Lisp, allowed symbols to be represented, understood, and used in calculations, creating another homoiconic language that allows reasoning. Prolog’s strength lies in its rule-based structure, which is well-suited for tasks that require logical inference and backtracking. These features made it a powerful tool for expert systems and AI research in the 1970s and 1980s.

The language is declarative in nature, meaning that you define the problem, and Prolog figures out how to solve it. By using formal logic and setting constraints, Prolog systems can derive conclusions from known facts, making it highly effective in fields requiring explicit logical frameworks, such as legal reasoning, diagnostics, and natural language understanding. These symbolic approaches were later overshadowed during the AI winter — but the ideas never really disappeared. They just evolved.

Solvers and Their Role in Complementing LLMs

One of the most powerful features of Prolog and similar logic-based systems is their use of solvers. Solvers are mechanisms that can take a set of rules and constraints and automatically find solutions that satisfy these conditions. This capability is incredibly useful when combined with LLMs, which excel at generating human-like language but need help with logical consistency and structured reasoning.

For instance, imagine a scenario where an LLM needs to answer a question involving multiple logical steps or a complex query that requires deducing facts from various pieces of information. In this case, a solver can derive valid conclusions based on a given set of logical rules, providing structured answers that the LLM can then articulate in natural language. This allows the LLM to retrieve information and ensure the logical integrity of its responses, leading to much more robust answers.

Solvers are also ideal for handling constraint satisfaction problems — situations where multiple conditions must be met simultaneously. In practical applications, this could include scheduling tasks, generating optimal recommendations, or even diagnosing issues where a set of symptoms must match possible diagnoses. Prolog’s solver capabilities and LLM’s natural language processing power can make these systems highly effective at providing intelligent, rule-compliant responses that traditional LLMs would struggle to produce alone.

By integrating neurosymbolic methods that utilize solvers, we can provide LLMs with a form of deductive reasoning that is missing from pure deep-learning approaches. This combination has the potential to significantly improve the quality of outputs for use-cases that require explicit, structured problem-solving, from legal queries to scientific research and beyond. Solvers give LLMs the backbone they need to not just generate answers but to do so in a way that respects logical rigor and complex constraints.

Graph of Rules for Enhanced Reasoning

Another powerful concept that complements LLMs is using a graph of rules. A graph of rules is essentially a structured collection of logical rules that interconnect in a network-like structure, defining how various entities and their relationships interact. This structured network allows for complex reasoning and information retrieval, as well as the ability to model intricate relationships between different pieces of knowledge.

In a graph of rules, each node represents a rule, and the edges define relationships between those rules — such as dependencies or causal links. This structure can be used to enhance LLM capabilities by providing them with a formal set of rules and relationships to follow, which improves logical consistency and reasoning depth. When an LLM encounters a problem or a question that requires multiple logical steps, it can traverse this graph of rules to generate an answer that is not only linguistically fluent but also logically robust.

For example, in a healthcare application, a graph of rules might include nodes for medical symptoms, possible diagnoses, and recommended treatments. When an LLM receives a query regarding a patient’s symptoms, it can use the graph to traverse from symptoms to potential diagnoses and then to treatment options, ensuring that the response is coherent and medically sound. The graph of rules guides reasoning, enabling LLMs to handle complex, multi-step questions that involve chains of reasoning, rather than merely generating surface-level responses.

Graphs of rules also enable modular reasoning, where different sets of rules can be activated based on the context or the type of question being asked. This modularity is crucial for creating adaptive AI systems that can apply specific sets of logical frameworks to distinct problem domains, thereby greatly enhancing their versatility. The combination of neural fluency with rule-based structure gives LLMs the ability to conduct more advanced reasoning, ultimately making them more reliable and effective in domains where accuracy and logical consistency are critical.

By implementing a graph of rules, LLMs are empowered to perform deductive reasoning alongside their generative capabilities, creating responses that are not only compelling but also logically aligned with the structured knowledge available in the system. This further enhances their potential applications in fields such as law, engineering, finance, and scientific research — domains where logical consistency is as important as linguistic coherence.

Enhancing LLMs with Symbolic Reasoning

Now, with LLMs like GPT-4 being mainstream, there is an emerging need to add real reasoning capabilities to them. This is where neurosymbolic approaches shine. Instead of pitting neural networks against symbolic reasoning, these methods combine the best of both worlds. The neural aspect provides language fluency and recognition of complex patterns, while the symbolic side offers real reasoning power through formal logic and rule-based frameworks.

Personal Knowledge Graphs (PKGs) come into play here as well. Knowledge graphs are data structures that encode entities and their relationships — they’re essentially semantic networks that allow for structured information retrieval. When integrated with neurosymbolic approaches, LLMs can use these graphs to answer questions in a far more contextual and precise way. By retrieving relevant information from a knowledge graph, they can ground their responses in well-defined relationships, thus improving both the relevance and the logical consistency of their answers.

Imagine combining an LLM with a graph of rules that allow it to reason through the relationships encoded in a personal knowledge graph. This could involve using deductive databases to form a sophisticated way to represent and reason with symbolic data — essentially constructing a powerful hybrid system that uses LLM capabilities for language fluency and rule-based logic for structured problem-solving.

My Research on Deductive Databases and Knowledge Graphs

I recently did some research on modeling knowledge graphs using deductive databases, such as DataLog — which can be thought of as a limited, data-oriented version of Prolog. What I’ve found is that it’s possible to use formal logic to model knowledge graphs, ontologies, and complex relationships elegantly as rules in a deductive system. Unlike classical RDF or traditional ontology-based models, which sometimes struggle with complex or evolving relationships, a deductive approach is more flexible and can easily support dynamic rules and reasoning.

Prolog and similar logic-driven frameworks can complement LLMs by handling the parts of reasoning where explicit rule-following is required. LLMs can benefit from these rule-based systems for tasks like entity recognition, logical inferences, and constructing or traversing knowledge graphs. We can even create a graph of rules that governs how relationships are formed or how logical deductions can be performed.

The future is really about creating an AI that is capable of both deep contextual understanding (using the powerful generative capacity of LLMs) and true reasoning (through symbolic systems and knowledge graphs). With the neurosymbolic approach, these AIs could be equipped not just to generate information but to explain their reasoning, form logical conclusions, and even improve their own understanding over time — getting us a step closer to true artificial general intelligence.

Why It Matters for LLM Employment

Using neurosymbolic RAG (retrieval-augmented generation) in conjunction with personal knowledge graphs could revolutionize how LLMs work in real-world applications. Imagine an LLM that understands not just language but also the relationships between different concepts — one that can navigate, reason, and explain complex knowledge domains by actively engaging with a personalized set of facts and rules.

This could lead to practical applications in areas like healthcare, finance, legal reasoning, or even personal productivity — where LLMs can help users solve complex problems logically, providing relevant information and well-justified reasoning paths. The combination of neural fluency with symbolic accuracy and deductive power is precisely the bridge we need to move beyond purely predictive AI to truly intelligent systems.

Let's explore these ideas further if you’re as fascinated by this as I am. Feel free to reach out, follow my YouTube channel, or check out some articles I’ll link below. And if you’re working on anything in this field, I’d love to collaborate!

Until next time, folks. Stay curious, and keep pushing the boundaries of AI!

@ 94a6a78a:0ddf320e

Azzamo is more than just a relay provider—it’s a high-performance network designed to make Nostr faster, smoother, and more reliable for everyone. Whether you're posting notes, zapping sats, sharing media, or sending DMs, Azzamo keeps your Nostr experience seamless and efficient.

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@ b8a9df82:6ab5cbbd

Last week at Bitcoin Investment Week in New York City, hosted by Anthony Pompliano, Jack Mallers walked in wearing sneakers and a T-shirt, casually dropping, “Man… I hate politics.”

That was it. That was the moment I felt aligned again. That’s the energy I came for. No suits. No corporate jargon. Just a guy who gets it—who cares about people, bringing Bitcoin-powered payments to the masses and making sure people can actually use it.

His presence was a reminder of why we’re here in the first place. And his words—“I hate politics”—were a breath of fresh air.

Now, don’t get me wrong. Anthony was a fantastic host. His ability to mix wittiness, playfulness, and seriousness made him an entertaining moderator. But this week was unlike anything I’ve ever experienced in the Bitcoin ecosystem.

One of the biggest letdowns was the lack of interaction. No real Q&A sessions, no direct engagement, no real discussions. Just one fireside chat after another.

And sure, I get it—people love to hear themselves talk. But where were the questions? The critical debates? The chance for the audience to actually participate?

I’m used to Bitcoin meetups and conferences where you walk away with new ideas, new friends, and maybe even a new project to contribute to. Here, it was more like sitting in an expensive lecture hall, watching a lineup of speakers tell us things we already know.

A different vibe—and not in a good way

Over the past few months, I’ve attended nearly ten Bitcoin conferences, each leaving me feeling uplifted, inspired, and ready to take action. But this? This felt different. And not in a good way.

If this had been my first Bitcoin event, I might have walked away questioning whether I even belonged here. It wasn’t Prague. It wasn’t Riga. It wasn’t the buzzing, grassroots, pleb-filled gatherings I had grown to love. Instead, it felt more like a Wall Street networking event disguised as a Bitcoin conference.

Maybe it was the suits.

Or the fact that I was sitting in a room full of investors who have no problem dropping $1,000+ on a ticket.

Or that it reminded me way too much of my former life—working as a manager in London’s real estate industry, navigating boardrooms full of finance guys in polished shoes, talking about “assets under management.”

Bitcoin isn’t just an investment thesis. It’s a revolution. A movement. And yet, at times during this week, I felt like I was back in my fiat past, stuck in a room where people measured success in dollars, not in freedom.

Maybe that’s the point. Bitcoin Investment Week was never meant to be a pleb gathering.

That said, the week did have some bright spots. PubKey was a fantastic kickoff. That was real Bitcoin culture—plebs, Nostr, grassroots energy. People who actually use Bitcoin, not just talk about it.

But the absolute highlight? Jack Mallers, sneakers and all, cutting through the noise with his authenticity.

So, why did we even go?

Good question. Maybe it was curiosity. Maybe it was stepping out of our usual circles to see Bitcoin through a different lens. Maybe it was to remind ourselves why we chose this path in the first place.

Would I go again? Probably not.

Would I trade Prague, Riga, bitcoin++ or any of the grassroots Bitcoin conferences for this? Not a chance.

At the end of the day, Bitcoin doesn’t belong to Wall Street from my opinion. It belongs to the people who actually use it. And those are the people I want to be around.

@ dc4cd086:cee77c06

Have you ever wanted to learn from lengthy educational videos but found it challenging to navigate through hours of content? Our new tool addresses this problem by transforming long-form video lectures into easily digestible, searchable content.

Key Features:

Video Processing:

• Automatically downloads YouTube videos, transcripts, and chapter information
• Splits transcripts into sections based on video chapters

Content Summarization:

• Utilizes language models to transform spoken content into clear, readable text
• Formats output in AsciiDoc for improved readability and navigation
• Highlights key terms and concepts with [[term]] notation for potential cross-referencing

Diagram Extraction:

• Analyzes video entropy to identify static diagram/slide sections
• Provides a user-friendly GUI for manual selection of relevant time ranges
• Allows users to pick representative frames from selected ranges

Going Forward:

Currently undergoing a rewrite to improve organization and functionality, but you are welcome to try the current version, though it might not work on every machine. Will support multiple open and closed language models for user choice Free and open-source, allowing for personal customization and integration with various knowledge bases. Just because we might not have it on our official Alexandria knowledge base, you are still welcome to use it on you own personal or community knowledge bases! We want to help find connections between ideas that exist across relays, allowing individuals and groups to mix and match knowledge bases between each other, allowing for any degree of openness you care.

While designed with #Alexandria users in mind, it's available for anyone to use and adapt to their own learning needs.

Screenshots

Frame Selection

This is a screenshot of the frame selection interface. You'll see a signal that represents frame entropy over time. The vertical lines indicate the start and end of a chapter. Within these chapters you can select the frames by clicking and dragging the mouse over the desired range where you think diagram is in that chapter. At the bottom is an option that tells the program to select a specific number of frames from that selection.

Diagram Extraction

This is a screenshot of the diagram extraction interface. For every selection you've made, there will be a set of frames that you can choose from. You can select and deselect as many frames as you'd like to save.

Links

• repo: https://github.com/limina1/video_article_converter
• Nostr Apps 101: https://www.youtube.com/watch?v=Flxa_jkErqE

Output

And now, we have a demonstration of the final result of this tool, with some quick cleaning up. The video we will be using this tool on is titled Nostr Apps 101 by nostr:npub1nxy4qpqnld6kmpphjykvx2lqwvxmuxluddwjamm4nc29ds3elyzsm5avr7 during Nostrasia. The following thread is an analog to the modular articles we are constructing for Alexandria, and I hope it conveys the functionality we want to create in the knowledge space. Note, this tool is the first step! You could use a different prompt that is most appropriate for the specific context of the transcript you are working with, but you can also manually clean up any discrepancies that don't portray the video accurately. You can now view the article on #Alexandria https://next-alexandria.gitcitadel.eu/publication?d=nostr-apps-101

Initially published as chained kind 1's nostr:nevent1qvzqqqqqqypzp5r5hd579v2sszvvzfel677c8dxgxm3skl773sujlsuft64c44ncqy2hwumn8ghj7un9d3shjtnyv9kh2uewd9hj7qgwwaehxw309ahx7uewd3hkctcpzemhxue69uhhyetvv9ujumt0wd68ytnsw43z7qghwaehxw309aex2mrp0yhxummnw3ezucnpdejz7qgewaehxw309aex2mrp0yh8xmn0wf6zuum0vd5kzmp0qqsxunmjy20mvlq37vnrcshkf6sdrtkfjtjz3anuetmcuv8jswhezgc7hglpn

Or view on Coracle https://coracle.social /nevent1qqsxunmjy20mvlq37vnrcshkf6sdrtkfjtjz3anuetmcuv8jswhezgcppemhxue69uhkummn9ekx7mp0qgsdqa9md83tz5yqnrqjw07hhkpmfjpkuv9hlh5v8yhu8z274w9dv7qnnq0s3

@ 43baaf0c:d193e34c

From Bangkok to Las Palmas de Gran Canaria.

For the past three years, I’ve traveled from Bangkok to Las Palmas de Gran Canaria, with a stop in Dubai a 24-hour journey that brings me back to Europe and to my artist friend, Alecs Navio. Along with his wife, he runs a coworking space called Soppa de Azul.

The main reason I return here is to create new art. Alecs constantly inspires me—we talk about art, artists, and he shares books that spark new ideas for my work. As an artist, I believe it’s essential to keep evolving. Growth comes from inspiration, and there’s no better source than fellow artists. Surrounding yourself with creative minds fuels your passion, and it all starts with conversations about art and life. Today was a perfect example of why I’m here. I looked at some of my older artwork hanging in the coworking space and said I didn’t like it anymore. Alecs reminded me that I should appreciate my past work because it’s part of my journey. Without it I wouldn’t be the artist I am today.

I always say the journey is the destination, and Alecs helped me see that this applies to art as well. This is why I believe in surrounding myself with people who inspire me those who celebrate my growth and remind me why they are such an important part of my journey.

@ 43baaf0c:d193e34c

Bangkok art city. Bangkok is a highly creative city, which is one of the reasons I love living here. I’d love to hold a second exhibition something special and even bigger than before. The fact that all major galleries are free to the public says a lot about how much Bangkok values art.

Over the last five months, I’ve been developing BangPOP art as both a concept and a blueprint for exhibitions worldwide. It serves as a guideline to ensure recognizable elements in each exhibition or event. While the artwork itself will always be unique, the POP Up exhibitions will have a distinct and recognizable identity wherever they take place.

You can read here the https://bitpopart.com/bangpop POP exhibition blue print.

Unfortunately, my plan to hold an exhibition at River City in Bangkok doesn’t seem to be coming together. Here’s the curator’s note:

‘our exhibition schedule on the 2nd floor this year and next year are quite packed and we have received numerous proposals at this moment.‘ After considering alternative venues in Bangkok, I’m optimistic about finding the right fit. For now, my focus is shifting to Europe, where I’ll use the BangPOP blueprint as my guiding framework. Thank you Bangkok!

@ ec42c765:328c0600

カスタム絵文字とは

任意のオリジナル画像を絵文字のように文中に挿入できる機能です。
また、リアクション（Twitterの いいね のような機能）にもカスタム絵文字を使えます。

カスタム絵文字の対応状況（2025/02/06）

カスタム絵文字を使うためにはカスタム絵文字に対応したクライアントを使う必要があります。

※表は一例です。クライアントは他にもたくさんあります。

使っているクライアントが対応していない場合は、クライアントを変更する、対応するまで待つ、開発者に要望を送る（または自分で実装する）などしましょう。

対応クライアント

• Amethyst
• FreeFrom
• nostter
• Rabbit
• Lumilumi
• Nos Haiku
• Snort
• noStrudel

ここではnostterを使って説明していきます。

準備

カスタム絵文字を使うための準備です。

• Nostrエクステンション（NIP-07）を導入する
• 使いたいカスタム絵文字をリストに登録する

Nostrエクステンション（NIP-07）を導入する

Nostrエクステンションは使いたいカスタム絵文字を登録する時に必要になります。

また、環境（パソコン、iPhone、androidなど）によって導入方法が違います。

Nostrエクステンションを導入する端末は、実際にNostrを閲覧する端末と違っても構いません（リスト登録はPC、Nostr閲覧はiPhoneなど）。

Nostrエクステンション（NIP-07）の導入方法は以下のページを参照してください。

ログイン拡張機能 (NIP-07)を使ってみよう | Welcome to Nostr! ～ Nostrをはじめよう！ ～

少し面倒ですが、これを導入しておくとNostr上の様々な場面で役立つのでより快適になります。

使いたいカスタム絵文字をリストに登録する

以下のサイトで行います。

emojito

右上のGet startedからNostrエクステンションでログインしてください。

例として以下のカスタム絵文字を導入してみます。

実際より絵文字が少なく表示されることがありますが、古い状態のデータを取得してしまっているためです。その場合はブラウザの更新ボタンを押してください。

generalJP | カスタム絵文字

• 右側のOptionsからBookmarkを選択

これでカスタム絵文字を使用するためのリストに登録できます。

カスタム絵文字を使用する

例としてブラウザから使えるクライアント nostter から使用してみます。

nostter

nostterにNostrエクステンションでログイン、もしくは秘密鍵を入れてログインしてください。

文章中に使用

1. 投稿ボタンを押して投稿ウィンドウを表示
2. 顔😀のボタンを押し、絵文字ウィンドウを表示
3. ＊タブを押し、カスタム絵文字一覧を表示
4. カスタム絵文字を選択
5. : 記号に挟まれたアルファベットのショートコードとして挿入される

この状態で投稿するとカスタム絵文字として表示されます。

カスタム絵文字対応クライアントを使っている他ユーザーにもカスタム絵文字として表示されます。

対応していないクライアントの場合、ショートコードのまま表示されます。

ショートコードを直接入力することでカスタム絵文字の候補が表示されるのでそこから選択することもできます。

リアクションに使用

1. 任意の投稿の顔😀のボタンを押し、絵文字ウィンドウを表示
2. ＊タブを押し、カスタム絵文字一覧を表示
3. カスタム絵文字を選択

カスタム絵文字リアクションを送ることができます。

カスタム絵文字を探す

先述したemojitoからカスタム絵文字を探せます。

例えば任意のユーザーのページ emojito ロクヨウ から探したり、 emojito Browse all からnostr全体で最近作成、更新された絵文字を見たりできます。

また、以下のリンクは日本語圏ユーザーが作ったカスタム絵文字を集めたリストです（2025/02/06）

※漏れがあるかもしれません

日本ユーザー作 カスタム絵文字

各絵文字セットにあるOpen in emojitoのリンクからemojitoに飛び、使用リストに追加できます。

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以上です。

次：Nostrのカスタム絵文字の作り方

Yakihonneリンク Nostrのカスタム絵文字の作り方

Nostrリンク nostr:naddr1qqxnzdesxuunzv358ycrgveeqgswcsk8v4qck0deepdtluag3a9rh0jh2d0wh0w9g53qg8a9x2xqvqqrqsqqqa28r5psx3

---

仕様

NIP-30 Custom Emoji

NIP-30 カスタム絵文字（和訳）

@ e6817453:b0ac3c39

Introduction: Personal Knowledge Graphs and Linked Data

We will explore the world of personal knowledge graphs and discuss how they can be used to model complex information structures. Personal knowledge graphs aren’t just abstract collections of nodes and edges—they encode meaningful relationships, contextualizing data in ways that enrich our understanding of it. While the core structure might be a directed graph, we layer semantic meaning on top, enabling nuanced connections between data points.

The origin of knowledge graphs is deeply tied to concepts from linked data and the semantic web, ideas that emerged to better link scattered pieces of information across the web. This approach created an infrastructure where data islands could connect — facilitating everything from more insightful AI to improved personal data management.

In this article, we will explore how these ideas have evolved into tools for modeling AI’s semantic memory and look at how knowledge graphs can serve as a flexible foundation for encoding rich data contexts. We’ll specifically discuss three major paradigms: RDF (Resource Description Framework), property graphs, and a third way of modeling entities as graphs of graphs. Let’s get started.

Intro to RDF

The Resource Description Framework (RDF) has been one of the fundamental standards for linked data and knowledge graphs. RDF allows data to be modeled as triples: subject, predicate, and object. Essentially, you can think of it as a structured way to describe relationships: “X has a Y called Z.” For instance, “Berlin has a population of 3.5 million.” This modeling approach is quite flexible because RDF uses unique identifiers — usually URIs — to point to data entities, making linking straightforward and coherent.

RDFS, or RDF Schema, extends RDF to provide a basic vocabulary to structure the data even more. This lets us describe not only individual nodes but also relationships among types of data entities, like defining a class hierarchy or setting properties. For example, you could say that “Berlin” is an instance of a “City” and that cities are types of “Geographical Entities.” This kind of organization helps establish semantic meaning within the graph.

RDF and Advanced Topics

Lists and Sets in RDF

RDF also provides tools to model more complex data structures such as lists and sets, enabling the grouping of nodes. This extension makes it easier to model more natural, human-like knowledge, for example, describing attributes of an entity that may have multiple values. By adding RDF Schema and OWL (Web Ontology Language), you gain even more expressive power — being able to define logical rules or even derive new relationships from existing data.

Graph of Graphs

A significant feature of RDF is the ability to form complex nested structures, often referred to as graphs of graphs. This allows you to create “named graphs,” essentially subgraphs that can be independently referenced. For example, you could create a named graph for a particular dataset describing Berlin and another for a different geographical area. Then, you could connect them, allowing for more modular and reusable knowledge modeling.

Property Graphs

While RDF provides a robust framework, it’s not always the easiest to work with due to its heavy reliance on linking everything explicitly. This is where property graphs come into play. Property graphs are less focused on linking everything through triples and allow more expressive properties directly within nodes and edges.

For example, instead of using triples to represent each detail, a property graph might let you store all properties about an entity (e.g., “Berlin”) directly in a single node. This makes property graphs more intuitive for many developers and engineers because they more closely resemble object-oriented structures: you have entities (nodes) that possess attributes (properties) and are connected to other entities through relationships (edges).

The significant benefit here is a condensed representation, which speeds up traversal and queries in some scenarios. However, this also introduces a trade-off: while property graphs are more straightforward to query and maintain, they lack some complex relationship modeling features RDF offers, particularly when connecting properties to each other.

Graph of Graphs and Subgraphs for Entity Modeling

A third approach — which takes elements from RDF and property graphs — involves modeling entities using subgraphs or nested graphs. In this model, each entity can be represented as a graph. This allows for a detailed and flexible description of attributes without exploding every detail into individual triples or lump them all together into properties.

For instance, consider a person entity with a complex employment history. Instead of representing every employment detail in one node (as in a property graph), or as several linked nodes (as in RDF), you can treat the employment history as a subgraph. This subgraph could then contain nodes for different jobs, each linked with specific properties and connections. This approach keeps the complexity where it belongs and provides better flexibility when new attributes or entities need to be added.

Hypergraphs and Metagraphs

When discussing more advanced forms of graphs, we encounter hypergraphs and metagraphs. These take the idea of relationships to a new level. A hypergraph allows an edge to connect more than two nodes, which is extremely useful when modeling scenarios where relationships aren’t just pairwise. For example, a “Project” could connect multiple “People,” “Resources,” and “Outcomes,” all in a single edge. This way, hypergraphs help in reducing the complexity of modeling high-order relationships.

Metagraphs, on the other hand, enable nodes and edges to themselves be represented as graphs. This is an extremely powerful feature when we consider the needs of artificial intelligence, as it allows for the modeling of relationships between relationships, an essential aspect for any system that needs to capture not just facts, but their interdependencies and contexts.

Balancing Structure and Properties

One of the recurring challenges when modeling knowledge is finding the balance between structure and properties. With RDF, you get high flexibility and standardization, but complexity can quickly escalate as you decompose everything into triples. Property graphs simplify the representation by using attributes but lose out on the depth of connection modeling. Meanwhile, the graph-of-graphs approach and hypergraphs offer advanced modeling capabilities at the cost of increased computational complexity.

So, how do you decide which model to use? It comes down to your use case. RDF and nested graphs are strong contenders if you need deep linkage and are working with highly variable data. For more straightforward, engineer-friendly modeling, property graphs shine. And when dealing with very complex multi-way relationships or meta-level knowledge, hypergraphs and metagraphs provide the necessary tools.

The key takeaway is that only some approaches are perfect. Instead, it’s all about the modeling goals: how do you want to query the graph, what relationships are meaningful, and how much complexity are you willing to manage?

Conclusion

Modeling AI semantic memory using knowledge graphs is a challenging but rewarding process. The different approaches — RDF, property graphs, and advanced graph modeling techniques like nested graphs and hypergraphs — each offer unique strengths and weaknesses. Whether you are building a personal knowledge graph or scaling up to AI that integrates multiple streams of linked data, it’s essential to understand the trade-offs each approach brings.

In the end, the choice of representation comes down to the nature of your data and your specific needs for querying and maintaining semantic relationships. The world of knowledge graphs is vast, with many tools and frameworks to explore. Stay connected and keep experimenting to find the balance that works for your projects.

@ 97c70a44:ad98e322

When developing on nostr, normally it's enough to read the NIP related to a given feature you want to build to know what has to be done. But there are some aspects of nostr development that aren't so straightforward because they depend less on specific data formats than on how different concepts are combined.

An example of this is how for a while it was considered best practice to re-publish notes when replying to them. This practice emerged before the outbox model gained traction, and was a hacky way of attempting to ensure relays had the full context required for a given note. Over time though, pubkey hints emerged as a better way to ensure other clients could find required context.

Another one of these things is "relay-based groups", or as I prefer to call it "relays-as-groups" (RAG). Such a thing doesn't really exist - there's no spec for it (although some aspects of the concept are included in NIP 29), but at the same time there are two concrete implementations (Flotilla and Chachi) which leverage several different NIPs in order to create a cohesive system for groups on nostr.

This composability is one of the neat qualities of nostr. Not only would it be unhelpful to specify how different parts of the protocol should work together, it would be impossible because of the number of possible combinations possible just from applying a little bit of common sense to the NIPs repo. No one said it was ok to put t tags on a kind 0. But no one's stopping you! And the semantics are basically self-evident if you understand its component parts.

So, instead of writing a NIP that sets relay-based groups in stone, I'm writing this guide in order to document how I've combined different parts of the nostr protocol to create a compelling architecture for groups.

Relays

Relays already have a canonical identity, which is the relay's url. Events posted to a relay can be thought of as "posted to that group". This means that every relay is already a group. All nostr notes have already been posted to one or more groups.

One common objection to this structure is that identifying a group with a relay means that groups are dependent on the relay to continue hosting the group. In normal broadcast nostr (which forms organic permissionless groups based on user-centric social clustering), this is a very bad thing, because hosts are orthogonal to group identity. Communities are completely different. Communities actually need someone to enforce community boundaries, implement moderation, etc. Reliance on a host is a feature, not a bug (in contrast to NIP 29 groups, which tend to co-locate many groups on a single host, relays-as-groups tends to encourage one group, one host).

This doesn't mean that federation, mirrors, and migration can't be accomplished. In a sense, leaving this on the social layer is a good thing, because it adds friction to the dissolution/forking of a group. But the door is wide open to protocol additions to support those use cases for relay-based groups. One possible approach would be to follow this draft PR which specified a "federation" event relays could publish on their own behalf.

Relay keys

This draft PR to NIP 11 specifies a self field which represents the relay's identity. Using this, relays can publish events on their own behalf. Currently, the pubkey field sort of does the same thing, but is overloaded as a contact field for the owner of the relay.

AUTH

Relays can control access using NIP 42 AUTH. There are any number of modes a relay can operate in:

1. No auth, fully public - anyone can read/write to the group.

2. Relays may enforce broad or granular access controls with AUTH.

Relays may deny EVENTs or REQs depending on user identity. Messages returned in AUTH, CLOSED, or OK messages should be human readable. It's crucial that clients show these error messages to users. Here's how Flotilla handles failed AUTH and denied event publishing:

LIMITS could also be used in theory to help clients adapt their interface depending on user abilities and relay policy.

1. AUTH with implicit access controls.

In this mode, relays may exclude matching events from REQs if the user does not have permission to view them. This can be useful for multi-use relays that host hidden rooms. This mode should be used with caution, because it can result in confusion for the end user.

See Triflector for a relay implementation that supports some of these auth policies.

Invite codes

If a user doesn't have access to a relay, they can request access using this draft NIP. This is true whether access has been explicitly or implicitly denied (although users will have to know that they should use an invite code to request access).

The above referenced NIP also contains a mechanism for users to request an invite code that they can share with other users.

The policy for these invite codes is entirely up to the relay. They may be single-use, multi-use, or require additional verification. Additional requirements can be communicated to the user in the OK message, for example directions to visit an external URL to register.

See Triflector for a relay implementation that supports invite codes.

Content

Any kind of event can be published to a relay being treated as a group, unless rejected by the relay implementation. In particular, NIP 7D was added to support basic threads, and NIP C7 for chat messages.

Since which relay an event came from determines which group it was posted to, clients need to have a mechanism for keeping track of which relay they received an event from, and should not broadcast events to other relays (unless intending to cross-post the content).

Rooms

Rooms follow NIP 29. I wish NIP 29 wasn't called "relay based groups", which is very confusing when talking about "relays as groups". It's much better to think of them as sub-groups, or as Flotilla calls them, "rooms".

Rooms have two modes - managed and unmanaged. Managed rooms follow all the rules laid out in NIP 29 about metadata published by the relay and user membership. In either case, rooms are represented by a random room id, and are posted to by including the id in an event's h tag. This allows rooms to switch between managed and unmanaged modes without losing any content.

Managed room names come from kind 39000 room meta events, but unmanaged rooms don't have these. Instead, room names should come from members' NIP 51 kind 10009 membership lists. Tags on these lists should look like this: ["group", "groupid", "wss://group.example.com", "Cat lovers"]. If no name can be found for the room (i.e., there aren't any members), the room should be ignored by clients.

Rooms present a difficulty for publishing to the relay as a whole, since content with an h tag can't be excluded from requests. Currently, relay-wide posts are h-tagged with _ which works for "group" clients, but not more generally. I'm not sure how to solve this other than to ask relays to support negative filters.

Cross-posting

The simplest way to cross-post content from one group (or room) to another, is to quote the original note in whatever event kind is appropriate. For example, a blog post might be quoted in a kind 9 to be cross-posted to chat, or in a kind 11 to be cross-posted to a thread. kind 16 reposts can be used the same way if the reader's client renders reposts.

Posting the original event to multiple relays-as-groups is trivial, since all you have to do is send the event to the relay. Posting to multiple rooms simultaneously by appending multiple h tags is however not recommended, since group relays/clients are incentivised to protect themselves from spam by rejecting events with multiple h tags (similar to how events with multiple t tags are sometimes rejected).

Privacy

Currently, it's recommended to include a NIP 70 - tag on content posted to relays-as-groups to discourage replication of relay-specific content across the network.

Another slightly stronger approach would be for group relays to strip signatures in order to make events invalid (or at least deniable). For this approach to work, users would have to be able to signal that they trust relays to be honest. We could also use ZkSNARKS to validate signatures in bulk.

In any case, group posts should not be considered "private" in the same way E2EE groups might be. Relays-as-groups should be considered a good fit for low-stakes groups with many members (since trust deteriorates quickly as more people get involved).

Membership

There is currently no canonical member list published by relays (except for NIP 29 managed rooms). Instead, users keep track of their own relay and room memberships using kind 10009 lists. Relay-level memberships are represented by an r tag containing the relay url, and room-level memberships are represented using a group tag.

Users can choose to advertise their membership in a RAG by using unencrypted tags, or they may keep their membership private by using encrypted tags. Advertised memberships are useful for helping people find groups based on their social graph:

User memberships should not be trusted, since they can be published unilaterally by anyone, regardless of actual access. Possible improvements in this area would be the ability to provide proof of access:

• Relays could publish member lists (although this would sacrifice member privacy)
• Relays could support a new command that allows querying a particular member's access status
• Relays could provide a proof to the member that they could then choose to publish or not

Moderation

There are two parts to moderation: reporting and taking action based on these reports.

Reporting is already covered by NIP 56. Clients should be careful about encouraging users to post reports for illegal content under their own identity, since that can itself be illegal. Relays also should not serve reports to users, since that can be used to find rather than address objectionable content.

Reports are only one mechanism for flagging objectionable content. Relay operators and administrators can use whatever heuristics they like to identify and address objectionable content. This might be via automated policies that auto-ban based on reports from high-reputation people, a client that implements NIP 86 relay management API, or by some other admin interface.

There's currently no way for moderators of a given relay to be advertised, or for a moderator's client to know that the user is a moderator (so that they can enable UI elements for in-app moderation). This could be addressed via NIP 11, LIMITS, or some other mechanism in the future.

General best practices

In general, it's very important when developing a client to assume that the relay has no special support for any of the above features, instead treating all of this stuff as progressive enhancement.

For example, if a user enters an invite code, go ahead and send it to the relay using a kind 28934 event. If it's rejected, you know that it didn't work. But if it's accepted, you don't know that it worked - you only know that the relay allowed the user to publish that event. This is helpful, becaues it may imply that the user does indeed have access to the relay. But additional probing may be needed, and reliance on error messages down the road when something else fails unexpectedly is indispensable.

This paradigm may drive some engineers nuts, because it's basically equivalent to coding your clients to reverse-engineer relay support for every feature you want to use. But this is true of nostr as a whole - anyone can put whatever weird stuff in an event and sign it. Clients have to be extremely compliant with Postell's law - doing their absolute best to accept whatever weird data or behavior shows up and handle failure in any situation. Sure, it's annoying, but it's the cost of permissionless development. What it gets us is a completely open-ended protocol, in which anything can be built, and in which every solution is tested by the market.

@ dff95033:862fbf40

This event has been deleted; your client is ignoring the delete request.

@ e6817453:b0ac3c39

The temporal semantics and temporal and time-aware knowledge graphs. We have different memory models for artificial intelligence agents. We all try to mimic somehow how the brain works, or at least how the declarative memory of the brain works. We have the split of episodic memory and semantic memory. And we also have a lot of theories, right?

Declarative Memory of the Human Brain

How is the semantic memory formed? We all know that our brain stores semantic memory quite close to the concept we have with the personal knowledge graphs, that it’s connected entities. They form a connection with each other and all those things. So far, so good. And actually, then we have a lot of concepts, how the episodic memory and our experiences gets transmitted to the semantic:

• hippocampus indexing and retrieval
• sanitization of episodic memories
• episodic-semantic shift theory

They all give a different perspective on how different parts of declarative memory cooperate.

We know that episodic memories get semanticized over time. You have semantic knowledge without the notion of time, and probably, your episodic memory is just decayed.

But, you know, it’s still an open question:

do we want to mimic an AI agent’s memory as a human brain memory, or do we want to create something different?

It’s an open question to which we have no good answer. And if you go to the theory of neuroscience and check how episodic and semantic memory interfere, you will still find a lot of theories, yeah?

Some of them say that you have the hippocampus that keeps the indexes of the memory. Some others will say that you semantic the episodic memory. Some others say that you have some separate process that digests the episodic and experience to the semantics. But all of them agree on the plan that it’s operationally two separate areas of memories and even two separate regions of brain, and the semantic, it’s more, let’s say, protected.

So it’s harder to forget the semantical facts than the episodes and everything. And what I’m thinking about for a long time, it’s this, you know, the semantic memory.

Temporal Semantics

It’s memory about the facts, but you somehow mix the time information with the semantics. I already described a lot of things, including how we could combine time with knowledge graphs and how people do it.

There are multiple ways we could persist such information, but we all hit the wall because the complexity of time and the semantics of time are highly complex concepts.

Time in a Semantic context is not a timestamp.

What I mean is that when you have a fact, and you just mentioned that I was there at this particular moment, like, I don’t know, 15:40 on Monday, it’s already awake because we don’t know which Monday, right? So you need to give the exact date, but usually, you do not have experiences like that.

You do not record your memories like that, except you do the journaling and all of the things. So, usually, you have no direct time references. What I mean is that you could say that I was there and it was some event, blah, blah, blah.

Somehow, we form a chain of events that connect with each other and maybe will be connected to some period of time if we are lucky enough. This means that we could not easily represent temporal-aware information as just a timestamp or validity and all of the things.

For sure, the validity of the knowledge graphs (simple quintuple with start and end dates)is a big topic, and it could solve a lot of things. It could solve a lot of the time cases. It’s super simple because you give the end and start dates, and you are done, but it does not answer facts that have a relative time or time information in facts . It could solve many use cases but struggle with facts in an indirect temporal context. I like the simplicity of this idea. But the problem of this approach that in most cases, we simply don’t have these timestamps. We don’t have the timestamp where this information starts and ends. And it’s not modeling many events in our life, especially if you have the processes or ongoing activities or recurrent events.

I’m more about thinking about the time of semantics, where you have a time model as a hybrid clock or some global clock that does the partial ordering of the events. It’s mean that you have the chain of the experiences and you have the chain of the facts that have the different time contexts.

We could deduct the time from this chain of the events. But it’s a big, big topic for the research. But what I want to achieve, actually, it’s not separation on episodic and semantic memory. It’s having something in between.

Blockchain of connected events and facts

I call it temporal-aware semantics or time-aware knowledge graphs, where we could encode the semantic fact together with the time component.I doubt that time should be the simple timestamp or the region of the two timestamps. For me, it is more a chain for facts that have a partial order and form a blockchain like a database or a partially ordered Acyclic graph of facts that are temporally connected. We could have some notion of time that is understandable to the agent and a model that allows us to order the events and focus on what the agent knows and how to order this time knowledge and create the chains of the events.

Time anchors

We may have a particular time in the chain that allows us to arrange a more concrete time for the rest of the events. But it’s still an open topic for research. The temporal semantics gets split into a couple of domains. One domain is how to add time to the knowledge graphs. We already have many different solutions. I described them in my previous articles.

Another domain is the agent's memory and how the memory of the artificial intelligence treats the time. This one, it’s much more complex. Because here, we could not operate with the simple timestamps. We need to have the representation of time that are understandable by model and understandable by the agent that will work with this model. And this one, it’s way bigger topic for the research.”

@ 2ed3596e:98b4cc78

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@ 5b0183ab:a114563e

What Is Dark Nostr?

Dark Nostr can be described as the unintended adverse effects that arise from creating systems designed to resist censorship and promote freedom. These systems often rely on algorithms and micropayments to function, but their very design can inadvertently spawn phenomena that are unpredictable, uncontrollable, and sometimes downright weird.

Think of it as the Yin to the Yang of decentralized freedom—a necessary shadow cast by the bright ideals of liberation. While freedom protocols aim to empower individuals, they also open the door to consequences that aren’t always sunshine and rainbows.

---

An Emergent Phenomenon

The fascinating thing about Dark Nostr is its emergent nature. This means it’s not something you can fully define or predict ahead of time; instead, it arises organically as decentralized systems are implemented and evolve. Like watching clouds form shapes in the sky, GM miners panhandle for sats or shower girls in the global feed, you can only observe it as it happens—and even then, its contours remain elusive.

Emergent phenomena are tricky beasts. While simplicity is at the core of the protocol layer darkness is born on the edge where complexity thrives—where individual components interact in ways that produce unpredictable outcomes. In this case, Dark Nostr encapsulates everything from algorithmic quirks and micropayment dynamics to unforeseen social consequences within decentralized ecosystems.

---

Studying Dark Nostr: Memes as Cultural Artifacts

Here’s where things get anthropologically juicy: much of what we know about Dark Nostr comes not from academic papers or technical manuals but from memes. Yes, memes—the internet’s favorite medium for cultural commentary—have become a lens through which this phenomenon is being observed and studied.

Memes act as modern-day hieroglyphs, distilling complex ideas into bite-sized cultural artifacts that reflect collective sentiment. When communities encounter something as nebulous as Dark Nostr, they turn to humor and symbolism to make sense of it. In doing so, they create a shared narrative—a way to grapple with the shadow side of decentralization without losing sight of its promise.

---

Why Does It Matter?

Dark Nostr isn’t just an abstract concept for philosophers or tech enthusiasts—it’s a reminder that every innovation comes with trade-offs. While decentralized systems aim to empower individuals by resisting censorship and central control, they also carry risks that must be acknowledged:
- Algorithmic Chaos: Algorithms designed for freedom might amplify harmful content or create echo chambers.
- Micropayment Pitfalls: Financial incentives could lead to exploitation or manipulation within these systems.
- Social Dynamics: The lack of centralized control might enable bad actors or foster unforeseen societal shifts.

Understanding Dark Nostr is crucial for anyone involved in building or using decentralized technologies. It challenges us to balance freedom with responsibility and reminds us that even the most well-intentioned systems have their shadow side.

---

Conclusion: Embracing the Shadow

Dark Nostr is more than just a cautionary tale—it’s a fascinating glimpse into the complexities of human interaction with technology. As an emergent phenomenon, it invites us to remain vigilant and adaptive as we navigate the uncharted waters of decentralization.

By studying its manifestations through cultural artifacts like memes and engaging in thoughtful reflection, we can better prepare for both its opportunities and risks. After all, every great innovation needs its shadow—it’s what makes progress real, messy, and human.

So here we stand before Dark Nostr: may we study it wisely, meme it relentlessly, and learn from its lessons as we build the future together.

Stay Vigilent Nostr.....

@ e3ba5e1a:5e433365

I got into a friendly discussion on X regarding health insurance. The specific question was how to deal with health insurance companies (presumably unfairly) denying claims? My answer, as usual: get government out of it!

The US healthcare system is essentially the worst of both worlds:

• Unlike full single payer, individuals incur high costs
• Unlike a true free market, regulation causes increases in costs and decreases competition among insurers

I'm firmly on the side of moving towards the free market. (And I say that as someone living under a single payer system now.) Here's what I would do:

• Get rid of tax incentives that make health insurance tied to your employer, giving individuals back proper freedom of choice.
• Reduce regulations significantly.

• In the short term, some people will still get rejected claims and other obnoxious behavior from insurance companies. We address that in two ways:

  1. Due to reduced regulations, new insurance companies will be able to enter the market offering more reliable coverage and better rates, and people will flock to them because they have the freedom to make their own choices.
  2. Sue the asses off of companies that reject claims unfairly. And ideally, as one of the few legitimate roles of government in all this, institute new laws that limit the ability of fine print to allow insurers to escape their responsibilities. (I'm hesitant that the latter will happen due to the incestuous relationship between Congress/regulators and insurers, but I can hope.)

Will this magically fix everything overnight like politicians normally promise? No. But it will allow the market to return to a healthy state. And I don't think it will take long (order of magnitude: 5-10 years) for it to come together, but that's just speculation.

And since there's a high correlation between those who believe government can fix problems by taking more control and demanding that only credentialed experts weigh in on a topic (both points I strongly disagree with BTW): I'm a trained actuary and worked in the insurance industry, and have directly seen how government regulation reduces competition, raises prices, and harms consumers.

And my final point: I don't think any prior art would be a good comparison for deregulation in the US, it's such a different market than any other country in the world for so many reasons that lessons wouldn't really translate. Nonetheless, I asked Grok for some empirical data on this, and at best the results of deregulation could be called "mixed," but likely more accurately "uncertain, confused, and subject to whatever interpretation anyone wants to apply."

https://x.com/i/grok/share/Zc8yOdrN8lS275hXJ92uwq98M

@ e31e84c4:77bbabc0

Bitcoin and Fixed Income was Written By Wyatt O’Rourke. If you enjoyed this article then support his writing, directly, by donating to his lightning wallet: ultrahusky3@primal.net

Fiduciary duty is the obligation to act in the client’s best interests at all times, prioritizing their needs above the advisor’s own, ensuring honesty, transparency, and avoiding conflicts of interest in all recommendations and actions.

This is something all advisors in the BFAN take very seriously; after all, we are legally required to do so. For the average advisor this is a fairly easy box to check. All you essentially have to do is have someone take a 5-minute risk assessment, fill out an investment policy statement, and then throw them in the proverbial 60/40 portfolio. You have thousands of investment options to choose from and you can reasonably explain how your client is theoretically insulated from any move in the \~markets\~. From the traditional financial advisor perspective, you could justify nearly anything by putting a client into this type of portfolio. All your bases were pretty much covered from return profile, regulatory, compliance, investment options, etc. It was just too easy. It became the household standard and now a meme.

As almost every real bitcoiner knows, the 60/40 portfolio is moving into psyop territory, and many financial advisors get clowned on for defending this relic on bitcoin twitter. I’m going to specifically poke fun at the ‘40’ part of this portfolio.

The ‘40’ represents fixed income, defined as…

An investment type that provides regular, set interest payments, such as bonds or treasury securities, and returns the principal at maturity. It’s generally considered a lower-risk asset class, used to generate stable income and preserve capital.

Historically, this part of the portfolio was meant to weather the volatility in the equity markets and represent the “safe” investments. Typically, some sort of bond.

First and foremost, the fixed income section is most commonly constructed with U.S. Debt. There are a couple main reasons for this. Most financial professionals believe the same fairy tale that U.S. Debt is “risk free” (lol). U.S. debt is also one of the largest and most liquid assets in the market which comes with a lot of benefits.

There are many brilliant bitcoiners in finance and economics that have sounded the alarm on the U.S. debt ticking time bomb. I highly recommend readers explore the work of Greg Foss, Lawrence Lepard, Lyn Alden, and Saifedean Ammous. My very high-level recap of their analysis:

• A bond is a contract in which Party A (the borrower) agrees to repay Party B (the lender) their principal plus interest over time.

• The U.S. government issues bonds (Treasury securities) to finance its operations after tax revenues have been exhausted.

• These are traditionally viewed as “risk-free” due to the government’s historical reliability in repaying its debts and the strength of the U.S. economy

• U.S. bonds are seen as safe because the government has control over the dollar (world reserve asset) and, until recently (20 some odd years), enjoyed broad confidence that it would always honor its debts.

• This perception has contributed to high global demand for U.S. debt but, that is quickly deteriorating.

• The current debt situation raises concerns about sustainability.

• The U.S. has substantial obligations, and without sufficient productivity growth, increasing debt may lead to a cycle where borrowing to cover interest leads to more debt.

• This could result in more reliance on money creation (printing), which can drive inflation and further debt burdens.

In the words of Lyn Alden “Nothing stops this train”

Those obligations are what makes up the 40% of most the fixed income in your portfolio. So essentially you are giving money to one of the worst capital allocators in the world (U.S. Gov’t) and getting paid back with printed money.

As someone who takes their fiduciary responsibility seriously and understands the debt situation we just reviewed, I think it’s borderline negligent to put someone into a classic 60% (equities) / 40% (fixed income) portfolio without serious scrutiny of the client’s financial situation and options available to them. I certainly have my qualms with equities at times, but overall, they are more palatable than the fixed income portion of the portfolio. I don’t like it either, but the money is broken and the unit of account for nearly every equity or fixed income instrument (USD) is fraudulent. It’s a paper mache fade that is quite literally propped up by the money printer.

To briefly be as most charitable as I can – It wasn’t always this way. The U.S. Dollar used to be sound money, we used to have government surplus instead of mathematically certain deficits, The U.S. Federal Government didn’t used to have a money printing addiction, and pre-bitcoin the 60/40 portfolio used to be a quality portfolio management strategy. Those times are gone.

Now the fun part. How does bitcoin fix this?

Bitcoin fixes this indirectly. Understanding investment criteria changes via risk tolerance, age, goals, etc. A client may still have a need for “fixed income” in the most literal definition – Low risk yield. Now you may be thinking that yield is a bad word in bitcoin land, you’re not wrong, so stay with me. Perpetual motion machine crypto yield is fake and largely where many crypto scams originate. However, that doesn’t mean yield in the classic finance sense does not exist in bitcoin, it very literally does. Fortunately for us bitcoiners there are many other smart, driven, and enterprising bitcoiners that understand this problem and are doing something to address it. These individuals are pioneering new possibilities in bitcoin and finance, specifically when it comes to fixed income.

Here are some new developments –

Private Credit Funds – The Build Asset Management Secured Income Fund I is a private credit fund created by Build Asset Management. This fund primarily invests in bitcoin-backed, collateralized business loans originated by Unchained, with a secured structure involving a multi-signature, over-collateralized setup for risk management. Unchained originates loans and sells them to Build, which pools them into the fund, enabling investors to share in the interest income.

Dynamics

• Loan Terms: Unchained issues loans at interest rates around 14%, secured with a 2/3 multi-signature vault backed by a 40% loan-to-value (LTV) ratio.
• Fund Mechanics: Build buys these loans from Unchained, thus providing liquidity to Unchained for further loan originations, while Build manages interest payments to investors in the fund.

Pros

• The fund offers a unique way to earn income via bitcoin-collateralized debt, with protection against rehypothecation and strong security measures, making it attractive for investors seeking exposure to fixed income with bitcoin.

Cons

• The fund is only available to accredited investors, which is a regulatory standard for private credit funds like this.

Corporate Bonds – MicroStrategy Inc. (MSTR), a business intelligence company, has leveraged its corporate structure to issue bonds specifically to acquire bitcoin as a reserve asset. This approach allows investors to indirectly gain exposure to bitcoin’s potential upside while receiving interest payments on their bond investments. Some other publicly traded companies have also adopted this strategy, but for the sake of this article we will focus on MSTR as they are the biggest and most vocal issuer.

Dynamics

• Issuance: MicroStrategy has issued senior secured notes in multiple offerings, with terms allowing the company to use the proceeds to purchase bitcoin.

• Interest Rates: The bonds typically carry high-yield interest rates, averaging around 6-8% APR, depending on the specific issuance and market conditions at the time of issuance.

• Maturity: The bonds have varying maturities, with most structured for multi-year terms, offering investors medium-term exposure to bitcoin’s value trajectory through MicroStrategy’s holdings.

Pros

• Indirect Bitcoin exposure with income provides a unique opportunity for investors seeking income from bitcoin-backed debt.

• Bonds issued by MicroStrategy offer relatively high interest rates, appealing for fixed-income investors attracted to the higher risk/reward scenarios.

Cons

• There are credit risks tied to MicroStrategy’s financial health and bitcoin’s performance. A significant drop in bitcoin prices could strain the company’s ability to service debt, increasing credit risk.

• Availability: These bonds are primarily accessible to institutional investors and accredited investors, limiting availability for retail investors.

Interest Payable in Bitcoin – River has introduced an innovative product, bitcoin Interest on Cash, allowing clients to earn interest on their U.S. dollar deposits, with the interest paid in bitcoin.

Dynamics

• Interest Payment: Clients earn an annual interest rate of 3.8% on their cash deposits. The accrued interest is converted to Bitcoin daily and paid out monthly, enabling clients to accumulate Bitcoin over time.

• Security and Accessibility: Cash deposits are insured up to $250,000 through River’s banking partner, Lead Bank, a member of the FDIC. All Bitcoin holdings are maintained in full reserve custody, ensuring that client assets are not lent or leveraged.

Pros

• There are no hidden fees or minimum balance requirements, and clients can withdraw their cash at any time.

• The 3.8% interest rate provides a predictable income stream, akin to traditional fixed-income investments.

Cons

• While the interest rate is fixed, the value of the Bitcoin received as interest can fluctuate, introducing potential variability in the investment’s overall return.

• Interest rate payments are on the lower side

Admittedly, this is a very small list, however, these types of investments are growing more numerous and meaningful. The reality is the existing options aren’t numerous enough to service every client that has a need for fixed income exposure. I challenge advisors to explore innovative options for fixed income exposure outside of sovereign debt, as that is most certainly a road to nowhere. It is my wholehearted belief and call to action that we need more options to help clients across the risk and capital allocation spectrum access a sound money standard.

Additional Resources

• River: The future of saving is here: Earn 3.8% on cash. Paid in Bitcoin.

• Onramp: Bitcoin, The Emergent Asset Class

• MicroStrategy: MicroStrategy Announces Pricing of Offering of Convertible Senior Notes

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Bitcoin and Fixed Income was Written By Wyatt O’Rourke. If you enjoyed this article then support his writing, directly, by donating to his lightning wallet: ultrahusky3@primal.net

@ 611021ea:089a7d0f

In today's world, most running apps function just like Facebook—they track your runs, collect your personal data, and monetize your activity by selling insights to third parties. You are the product. But what if there was a way to track your running stats without sacrificing your privacy? Enter Runstr, the first running app built on the Nostr protocol.

A Running App That Respects Your Privacy

Unlike traditional fitness apps that harvest your data, Runstr leverages Nostr, a decentralized protocol that ensures your running stats remain under your control. This means you can log your runs, measure your performance, and improve your fitness without exposing your data to corporations, advertisers, or big tech.

From PWA to Android: Improving the Experience

We started with a Progressive Web App (PWA) as a proof of concept. However, we quickly ran into challenges with tracking run stats when the screen was turned off. To overcome these limitations, we pivoted to building a dedicated Android app that allows for better functionality and seamless background tracking. The response has been great so far, with early adopters loving the enhanced features and user experience.

Features & Integrations

Runstr is designed to be a powerful, yet lightweight running companion. Some of the key features include:

• Accurate run tracking: Distance, time, pace, and more
• Wavlake integration: Listen to your favorite tracks while running without switching apps
• Zero data harvesting: No third-party tracking, no selling your information

Recognition & Roadmap

We recently presented Runstr to PlebLab, and they loved the concept! They’ve offered mentorship and promotion support to help us scale. Looking ahead, here’s what’s coming in the next quarter:

• Running events & team events
• Personal goals & performance tracking
• Advanced statistics dashboard
• Local running clubs
• Runstr branding strategy for the app & running merchandise

Additionally, Runstr LLC is now an official business entity, marking a major milestone in our journey.

Nosfabrica - SALUD Decentralized Health App Development Challenge

We’ve entered the Nosfabrica - SALUD Decentralized Health App Development Challenge, whose mission is to develop an ecosystem of open-source tools built on Nostr and Bitcoin to decentralize healthcare, improve health, and address challenges in healthcare access, data portability, and overall health outcomes. Currently, the total prize pool is 0.12 BTC, and all participating projects can be found on the Kanbanstr board.

Fundraising & How You Can Support

To accelerate our development and bring Runstr to the next level, we are raising 0.1 BTC to fund design, branding, and development. Our goal is to launch the official Runstr app on zap.store by the end of May.

If you’d like to support this vision, you can:

• Download the app, take it for a run, and share your feedback on Nostr using the hashtag #runstr.
• Contribute to our fundraising via Geyser Fund.

Together, we can build the ultimate privacy-first running app. Join us and let’s run free! 🏃‍♂️⚡

@ d830ee7b:4e61cd62

สายลมพัดกระโชกแรง แทรกซึมผ่านแนวต้นไม้สูงใหญ่ในป่าทึบ รัตติกาลโอบล้อมทุกสิ่งไว้ในความมืดมิด ร่างของเอี้ยก้วยเคลื่อนผ่านเส้นทางขรุขระ ย่ำเดินไปบนโคลนที่เปียกชื้นจากฝนที่ตกพรำมาทั้งวัน

ทุกย่างก้าวหนักอึ้ง... ไม่ใช่เพราะความเหนื่อยล้าของร่างกาย แต่เป็นภาระของหัวใจที่แบกรับไว้—มันหนักเสียยิ่งกว่าภูเขาหลายลูก

เซียวเหล่งนึ่ง... จากไปแล้ว

ราวกับสวรรค์เล่นตลก เหมือนโชคชะตากำลังทดสอบจิตวิญญาณของเขา ทุกสิ่งที่เขาต่อสู้เพื่อมัน ทุกสิ่งที่เขาหวงแหน... กลับถูกพรากไปอย่างโหดร้าย ไม่มีสิ่งใดเจ็บปวดมากไปกว่าการยืนอยู่เพียงลำพังในโลกกว้างใหญ่ที่ไร้เงาของนาง

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ไม่นานก่อนหน้านี้ เอี้ยก้วยและเซียวเหล่งนึ่งยังคงอยู่ด้วยกันภายใน หุบเขาสุสานโบราณ—สถานที่ที่ทั้งสองเคยให้คำมั่นว่าจะครองรักกันไปชั่วชีวิต แต่แล้วโชคชะตาก็พลิกผันอย่างโหดร้าย

เซียวเหล่งนึ่งเชื่อว่า ตนเองถูกวางยาพิษร้ายแรง นางไม่ต้องการให้เอี้ยก้วยต้องทนทุกข์ทรมานกับการเห็นนางจากไปช้าๆ—นางจึงเลือกที่จะทิ้งเขาไว้

“อย่าตามหาข้า...”

เสียงของนางยังคงก้องอยู่ในใจเขา แม้จะเป็นเพียงกระซิบแผ่วเบาในคืนฝนตก แต่สำหรับเอี้ยก้วย มันราวกับเสียงฟ้าผ่าที่ทำลายทุกสิ่ง

เขาเคยสาบานว่าจะอยู่เคียงข้างนาง แต่สุดท้ายนางกลับเลือกหนทางนี้...

ฝนยังคงโปรยปราย สายลมยังคงโหมพัด แต่ในใจของเอี้ยก้วย กลับเงียบงันยิ่งกว่าทะเลทรายอันว่างเปล่า

ตั้งแต่วันที่เซียวเหล่งนึ่งจากไป เขาออกเดินทางโดยไร้จุดหมาย เท้าของเขาพาเขาไปข้างหน้าอย่างไร้ทิศทาง แม้แต่ตัวเขาเองก็ไม่รู้ว่ากำลังจะไปที่ใด

หรือบางที... อาจเป็นเพราะเขาไม่สนใจอีกแล้ว

เขาเดินฝ่าภูเขา ป่าทึบ ลัดเลาะเส้นทางอันเปลี่ยวร้างของยุทธภพ แววตาของเขามิได้เต็มไปด้วยความโกรธแค้นอีกต่อไป แต่มันกลับกลายเป็นความว่างเปล่า ราวกับวิหคที่บินหลงทางในฟากฟ้าอันไร้ที่สิ้นสุด

เขาไม่ได้มุ่งหน้ากลับไปที่สุสานโบราณ เพราะเขารู้ว่า—ต่อให้กลับไป ก็จะไม่พบสิ่งใดอีกแล้ว

เสียงฟ้าคำรามก้องกังวาน สายฟ้าผ่าลงมาส่องแสงวาบผ่านม่านเมฆดำสนิท ลำแสงสีขาวแหวกทะลุเงาของต้นไม้สูงใหญ่ เผยให้เห็นร่างของเอี้ยก้วยที่ยังคงยืนอยู่กลางพายุ

เสื้อคลุมของเขาเปียกโชกจากสายฝน น้ำฝนไหลซึมผ่านผิวกาย แต่อากาศหนาวเย็นกลับไม่อาจทำให้เขาสั่นสะท้านได้ เพราะจิตใจของเขาเย็นยะเยือกยิ่งกว่าสายลมที่พัดผ่าน

“ทำไมกัน...”

เสียงของเขาถูกกลืนหายไปในเสียงพายุ เอี้ยก้วยกำมือแน่น รู้สึกถึงอารมณ์ที่ปะทุขึ้นภายใน—มันเป็นทั้งความเจ็บปวด ความโกรธ ความสับสน และความสิ้นหวัง

แต่ทันใดนั้นเอง...

เขาสัมผัสได้ถึงบางสิ่ง

มันไม่ใช่เพียงเสียงพายุ หรือเสียงใบไม้ไหวในสายลม—แต่เป็นสายตา... สายตาของใครบางคนกำลังจ้องมองเขาอยู่

ร่างของเอี้ยก้วยตวัดสายตามองไปรอบตัว ลมหายใจของเขาติดขัด ฝนที่ตกหนักบดบังทุกสิ่งรอบกาย แต่มันมิอาจบดบังสัมผัสของเขาได้

จากมุมหนึ่งของม่านฝน...

เงาหนึ่งขยับเข้ามาอย่างแผ่วเบา

แม้ไม่มีเสียงฝีเท้า แต่พลังที่เปล่งออกมากลับหนักหน่วง ยิ่งกว่าคลื่นของมหาสมุทร

เสียงหนึ่งดังขึ้น แทรกผ่านสายฝน...

"ดูเหมือนเจ้ายังไม่เข้าใจสายฝนดีพอ..."

มันไม่ดังนักแต่กลับทะลวงเข้าสู่หัวใจ เอี้ยก้วยหันขวับ ดวงตาจ้องเขม็งผ่านม่านน้ำ

แล้วเขาก็เห็น...

ชายผู้นั้นยืนอยู่กลางสายฝน แต่เสื้อคลุมขาวของเขากลับมิได้เปียกโชกแม้แต่น้อย ร่างสูงโปร่งแต่กลับแฝงไว้ด้วยพลังอันไม่อาจหยั่งถึง ดวงตาของเขาสงบนิ่งยิ่งกว่าน้ำในบึงลึก ทว่ากลับสะท้อนความลี้ลับดุจมหาสมุทร

“ข้าแซ่ JAKK นามว่า Goodday”

เสียงของเขาราบเรียบ แต่กลับทำให้หัวใจของเอี้ยก้วยเต้นแรงอย่างไม่รู้สาเหตุ มันไม่ใช่พลังข่มขู่ แต่เป็นแรงกดดันที่มาโดยธรรมชาติ ราวกับภูเขาสูงตระหง่านที่มิได้พยายามบดบังแสงอาทิตย์ แต่กลับบังมันไว้โดยสมบูรณ์

“เจ้าคือใครกันแน่?” เอี้ยก้วยเอ่ยถาม ดวงตาจ้องมองชายลึกลับตรงหน้า “เจ้ามีจุดประสงค์ใดถึงได้ปรากฏตัวต่อหน้าข้า?”

JAKK เพียงแค่ยิ้มบาง ๆ แต่ในดวงตานั้นกลับฉายแววที่ทำให้หัวใจของเอี้ยก้วยสั่นสะท้าน

“ข้าคือผู้เดินทางผ่าน เช่นเดียวกับสายฝนนี้”

เอี้ยก้วยขมวดคิ้ว คำพูดเหล่านั้นช่างคลุมเครือ ราวกับหยาดฝนที่ร่วงหล่นแต่กลับไร้รูปร่างจับต้อง

ทันใดนั้นเอง สายลมกระโชกแรงขึ้น ฝนที่เคยสาดกระหน่ำกลับเปลี่ยนทิศทาง หยาดน้ำที่ตกลงมากลางอากาศดูเหมือนจะหยุดนิ่ง ก่อนจะไหลวนตามแรงที่มองไม่เห็น ราวกับทั้งสายฝนนี้กำลังถูกควบคุม

ฟึ่บ!

เสี้ยววินาทีถัดมา เอี้ยก้วยสัมผัสได้ถึงแรงบางอย่างที่พุ่งผ่านใบหน้า ไม่ใช่ลม ไม่ใช่ฝน แต่มันคือบางสิ่งที่จับต้องไม่ได้!

เขาตวัดกระบี่ขึ้นอย่างฉับพลัน แต่กลับสัมผัสได้เพียงความว่างเปล่า พริบตานั้นเอง... ใบไม้ด้านหลังเขาถูกเฉือนขาดเป็นเส้นตรง!

เอี้ยก้วยเบิกตากว้าง "นี่มัน..."

JAKK เอียงศีรษะเล็กน้อย ดวงตาฉายแววของผู้ที่มองเห็นสิ่งที่ผู้อื่นมองไม่ออก

“ฝนสามารถทำให้ดินชุ่มชื้น หรือสามารถกัดเซาะภูเขาได้” เขากล่าวช้า ๆ “แต่เจ้ากลับปล่อยให้มันตกต้องโดยไร้ความหมาย”

เอี้ยก้วยกำกระบี่แน่น รู้สึกถึงความโกรธที่แล่นขึ้นมาในอก "เจ้าหมายความว่าอย่างไร?"

JAKK ไม่ตอบ แต่เพียงยื่นมือออกไป หยดน้ำฝนที่ปลายนิ้วของเขาค่อย ๆ ไหลรวมกันเป็นเส้นบางเบา ส่องประกายราวใยไหมในความมืด

"น้ำ... ไม่ได้แข็งแกร่งที่สุด"

"แต่มันไม่มีใครทำลายมันได้"

เอี้ยก้วยขมวดคิ้ว เขาไม่เข้าใจ... หรือบางที เขาอาจไม่อยากเข้าใจ

JAKK ปล่อยให้ความเงียบเข้าปกคลุมชั่วขณะ ก่อนจะกล่าวขึ้นด้วยเสียงแผ่วเบา แต่แหลมคมกว่ากระบี่ใด ๆ

"เจ้ากำลังเผชิญหน้ากับสายฝน... หรือเจ้ากำลังปล่อยให้มันกลืนกินเจ้า?"

คำถามที่ดูเหมือนไร้ความหมาย... กลับหนักหน่วงยิ่งกว่าสายฝนที่โหมกระหน่ำ เอี้ยก้วยรู้สึกถึงอะไรบางอย่างกำลังสั่นคลอนอยู่ในจิตใจของตนเอง

"ฝนเป็นเพียงฝน ข้าจะไปอยู่เหนือมันหรือถูกมันชะล้างได้อย่างไร?" เขาตอบโดยไม่ต้องคิด

JAKK ยิ้มเพียงเล็กน้อย ก่อนกล่าวคำที่ทำให้เอี้ยก้วยต้องนิ่งงัน

"เช่นนั้น เจ้าก็ไม่อาจเข้าใจสิ่งที่กำลังมองหา..."

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สายฝนยังคงโปรยปราย ท้องฟ้ามืดครึ้มราวกับมหาสมุทรที่คว่ำลงสู่พื้นพิภพ ฟ้าคำรามก้อง ลำแสงสายฟ้าแหวกม่านเมฆดำสาดลงมาราวกับต้องการเปิดโปงความลึกลับที่ปกคลุมค่ำคืนนี้

เอี้ยก้วยยืนตระหง่านอยู่กลางลานหิน สายตาของเขามิได้จดจ้องสายฝนที่ซัดกระหน่ำร่างของเขาอีกต่อไป หากแต่จับจ้องอยู่ที่ชายตรงหน้า—บุรุษผู้เผยตนจากม่านฝน ร่างสูงสง่าในอาภรณ์ขาวสะอาดไร้รอยเปียก ดวงตาสงบนิ่งดังมหานทีอันลึกล้ำ

“เจ้ากำลังต้านฝน…” JAKK กล่าวเสียงเรียบ “แต่สายฝนนี้มิใช่ศัตรูของเจ้า”

เอี้ยก้วยสูดลมหายใจเข้าลึก กระชับกระบี่ในมือแน่น

“ข้ามิได้มาที่นี่เพื่อทดสอบความหมายของหยาดฝน” เสียงของเขาเด็ดเดี่ยว “แต่เพื่อพิสูจน์ว่าข้ายังยืนหยัดอยู่ได้ แม้สวรรค์จะทอดทิ้งข้า”

JAKK มิได้กล่าวตอบ แต่ปลายนิ้วของเขายื่นออกมาเพียงเล็กน้อย

ฟึ่บ!

สายฝนรอบตัว JAKK คล้ายหยุดนิ่งไปชั่วขณะ ก่อนจะรวมตัวกันเป็นเส้นสายโปร่งใสราวกับใยไหมสะท้อนแสงจันทร์

“ใยวารี”

เสียงกระซิบแผ่วเบาดังลอดออกจากริมฝีปากของ JAKK และในพริบตานั้นเอง เส้นสายเหล่านั้นก็แปรเปลี่ยนเป็นอาวุธแห่งธารา แหวกอากาศพุ่งเข้าหาเอี้ยก้วยด้วยความเร็วเหนือมนุษย์!

เคร้ง!

เอี้ยก้วยสะบัดกระบี่ปัดป้อง แต่บางสิ่งผิดปกติ เส้นใยน้ำมิได้ถูกเฉือนขาด กลับพันรอบคมกระบี่ราวกับเถาวัลย์ที่ไร้ตัวตน ร่างของเขาถูกดึงรั้งไปข้างหน้าโดยไม่รู้ตัว!

“อะไร!?”

ฟึ่บ!

เอี้ยก้วยตัดสินใจกระโจนขึ้นกลางอากาศ หมุนตัวเพื่อสะบัดใยวารีออกจากร่าง แต่ในขณะที่เขาลอยตัวกลางหาว ใยโปร่งใสเหล่านั้นกลับเคลื่อนตามมาอย่างลื่นไหล ปรับทิศทางเหมือนมันมีชีวิต!

JAKK มองภาพนั้นนิ่ง ๆ ดวงตาของเขาไร้แววเย้ยหยัน มีเพียงประกายแห่งการสังเกต

“สายน้ำไม่เคยยึดติด ไม่เคยต่อต้าน” JAKK กล่าวเรียบ ๆ “มันซึมซับทุกสิ่งอย่างไร้รูปร่าง เจ้ายังไม่เข้าใจสิ่งที่อยู่ตรงหน้า”

เอี้ยก้วยกัดฟันแน่น ฝ่ามือที่จับกระบี่เริ่มสั่นเล็กน้อย นี่มิใช่วิชาที่เขาเคยประมือมาก่อน…

“ถ้าเช่นนั้น ข้าจะทำให้มันแตกสลาย!”

กระบี่วิหคโบยบิน!

เอี้ยก้วยระเบิดพลังสุดกำลัง กวัดแกว่งกระบี่เป็นวงกว้าง ตวัดเป็นแนวสายลมกรรโชก!

ลำแสงแห่งกระบี่พุ่งตัดผ่านม่านฝน ปะทะเข้ากับใยวารีที่พุ่งมาอย่างแรง!

ฉัวะ!

สิ่งที่เกิดขึ้นหาใช่การแตกสลายของใยวารีไม่ เส้นใยเหล่านั้นกลับยืดหยุ่นและดูดซับแรงปะทะของกระบี่ ราวกับมันมิใช่ของแข็งหรือของเหลว แต่เป็นสภาวะที่อยู่เหนือขึ้นไป!

เคร้ง!

แรงสะท้อนทำให้เอี้ยก้วยเสียหลัก กระบี่ของเขาถูกดูดซับพลังไปในชั่วพริบตา ร่างของเขาถอยหลังไปหลายก้าว หัวใจเต้นแรง

“เป็นไปไม่ได้...”

JAKK ก้าวเข้ามาช้า ๆ สายตาไร้แววสมเพชหรือโอ้อวด มีเพียงความสงบเช่นผืนน้ำที่ไร้คลื่น

“พลังที่แข็งแกร่งที่สุด มิใช่พลังที่เผชิญหน้า” เขากล่าว “แต่คือพลังที่อยู่เหนือการเผชิญหน้า”

เอี้ยก้วยยังไม่เข้าใจ แต่จิตใจของเขาเริ่มหวั่นไหว

JAKK มองเขาเงียบ ๆ ก่อนจะพลิกมืออย่างแผ่วเบา

ฟึ่บ!

ใยวารีสายสุดท้ายพุ่งตรงเข้าหาร่างของเอี้ยก้วย!

เอี้ยก้วยสะบัดกระบี่ขึ้นสุดกำลังเพื่อป้องกัน แต่…

ครั้งนี้ เขารู้สึกว่า มันมิใช่สิ่งที่สามารถต้านทานได้ด้วยพลังเพียงอย่างเดียว

เขายังคงหอบหายใจหนัก สองมือกำกระบี่แน่น สายตาจับจ้องไปยังชายตรงหน้า—JAKK บุรุษผู้ควบคุมน้ำฝนได้ดั่งอวัยวะของตนเอง เขาเพียงยืนอยู่ตรงนั้น ดวงตาเรียบนิ่ง ไม่แสดงความเหนือกว่า แต่กลับเปล่งพลังลี้ลับราวกับสายน้ำในห้วงลึก

เอี้ยก้วยไม่เคยเจอศัตรูเช่นนี้มาก่อน

ทุกกระบวนท่าของเขาถูกทำให้ไร้ความหมาย ดุจพายุกระหน่ำใส่ธารน้ำ มันมิได้แตกหัก แต่มันกลืนกินและซึมซับทุกสิ่งที่เข้ามา

“ข้ายังไม่เข้าใจ…”

เสียงของเอี้ยก้วยแผ่วเบา แต่หนักแน่นในความสงสัย ดวงตาของเขายังคงคุกรุ่นด้วยไฟแห่งการต่อสู้ แต่ในแววตานั้น เริ่มฉายแววของบางสิ่งที่เปลี่ยนแปลง

JAKK พินิจเขาครู่หนึ่งก่อนกล่าวขึ้น “เจ้ายังมิอาจปล่อยให้สายน้ำไหลผ่านใจเจ้า”

เขายื่นมือออกไป หยดน้ำฝนที่ตกลงมากลางอากาศหยุดนิ่งชั่วขณะ ก่อนจะค่อย ๆ เคลื่อนไหว หมุนวนในอากาศดุจเส้นไหมโปร่งใส เอี้ยก้วยจ้องมองมัน หัวใจเต้นแรง

มันไร้รูปร่าง ไร้ขีดจำกัด…

เช่นนั้นข้าจะทำลายมันได้อย่างไร?

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เอี้ยก้วยก้าวถอยหลังหนึ่งก้าว นี่เป็นครั้งแรกที่เขารู้สึกว่าไม่อาจพึ่งพากระบี่ของตนเองได้

“ข้าคิดว่าข้ารู้จักกระบี่ของข้าดีที่สุด แต่เหตุใดมันจึงไร้พลังต่อหน้าเจ้า?”

JAKK มิได้ตอบ แต่พลิกฝ่ามือเบา ๆ เส้นใยวารีที่ลอยอยู่กลางอากาศเริ่มขยับ เปลี่ยนเป็นรูปแบบใหม่ตลอดเวลา บางครั้งมันรวมกันเป็นหยดน้ำเดียว บางครั้งมันแตกออกเป็นเส้นสายมากมาย ไร้รูปแบบตายตัว

“แล้วเจ้าคิดว่าตนเองคืออะไร?” JAKK เอ่ยขึ้น

เอี้ยก้วยขมวดคิ้ว “ข้าเป็นข้า… เอี้ยก้วย”

JAKK ส่ายหน้า “หากเจ้ามีตัวตนเช่นนั้น เจ้าจะไม่มีวันเข้าใจวารี”

เอี้ยก้วยเม้มริมฝีปากแน่น นี่เป็นครั้งแรกที่เขารู้สึกว่าตัวเองถูกผลักให้ตกลงสู่ห้วงแห่งความเงียบ

เขาสูดลมหายใจเข้าลึก ก่อนจะค่อย ๆ หลับตาลง

สายฝนยังคงตกลงมา แต่บัดนี้ มันมิได้รู้สึกเหมือนดาบนับพันที่โหมกระหน่ำลงบนร่างของเขาอีกต่อไป

มันค่อย ๆ ซึมผ่านผิวหนัง คล้ายกับเขาเองก็เป็นส่วนหนึ่งของมัน

ปลายนิ้วของเขาขยับเพียงเล็กน้อย—และในวินาทีนั้น เขารู้สึกได้ถึงแรงสั่นสะเทือนบางอย่าง

เขาสัมผัสได้ถึงสายน้ำรอบตัว

แต่ก่อนที่เขาจะเข้าใจมันอย่างแท้จริง—

ฟึ่บ!

JAKK พลิกฝ่ามือเสี้ยววินาที เส้นใยวารีสะบัดวูบ ปลดปล่อยแรงกระแทกมหาศาล!

เอี้ยก้วยลืมตาขึ้น แต่คราวนี้ เขามิได้ต้านทานมัน

เขาเคลื่อนตัวไปกับมัน—

ร่างของเขาหลุดจากการจู่โจมได้อย่างฉิวเฉียด โดยที่มิได้ออกแรงฝืนเลยแม้แต่น้อย!

หยาดน้ำเย็นเฉียบโปรยปรายลงมาอย่างต่อเนื่อง สายลมพัดโหมรุนแรงพอจะถอนรากต้นไม้ แต่ภายในใจของเอี้ยก้วย กลับสงบนิ่งอย่างไม่เคยเป็นมาก่อน

เมื่อครู่... ร่างของเขาหลุดพ้นจากการจู่โจมของ "ใยวารี" โดยที่มิได้ต่อต้าน แต่มันไม่ใช่เพราะเขาเร็วขึ้น หรือแข็งแกร่งขึ้น

เขาเพียง ‘ปล่อยให้มันไหลไป’

ดวงตาของเขาเบิกกว้าง ความรู้สึกหนึ่งพลันแล่นผ่านจิตใจราวกับสายฟ้าที่ส่องลงบนมหาสมุทรอันมืดมิด

JAKK มองเขาอยู่ห่าง ๆ มุมปากของชายลึกลับผู้นี้ยกขึ้นเพียงเล็กน้อย แต่แฝงไว้ด้วยความพึงพอใจ

“เริ่มเข้าใจแล้วหรือไม่?”

เอี้ยก้วยกำกระบี่แน่น... แต่ครั้งนี้ มิใช่ด้วยความโกรธ มิใช่เพื่อจู่โจม มิใช่เพื่อพิสูจน์ตนเองต่อโชคชะตา แต่เพื่อสัมผัสถึงบางสิ่งที่เคยถูกซ่อนเร้นมาตลอดชีวิต

“ข้าเริ่มสัมผัสได้... แต่ข้ายังไม่เข้าใจ”

JAKK ยกมือขึ้น นิ้วชี้แตะกลางอากาศ—

ฟึ่บ!

หยดฝนที่โปรยปรายอยู่พลันรวมตัวกันกลางอากาศ หมุนวนเป็นเกลียว ก่อนจะยืดขยายออกเป็น กระบี่วารี—ใสกระจ่างประหนึ่งกระจก แต่มิใช่ของแข็ง มิใช่ของเหลว มันไร้ตัวตนและมีอยู่ในคราวเดียวกัน

“เจ้าจะต้องเรียนรู้ด้วยร่างกายของเจ้าเอง”

“มาเถิด เอี้ยก้วย”

เอี้ยก้วยมิใช่คนที่หวั่นเกรงต่อความท้าทาย เขาสูดลมหายใจเข้าลึก ก้าวขาขึ้นหน้าอย่างมั่นคง ดวงตาทอประกาย ครั้งนี้ เขาจะมิใช่ผู้ที่ปล่อยให้คลื่นซัดไปตามใจมันอีกต่อไป

เขาตวัดกระบี่ขึ้น—

ฟึ่บ!

JAKK เคลื่อนกาย กระบี่วารีของเขาโค้งงอ ปรับเปลี่ยนรูปทรงไปราวกับธารน้ำที่ไหลเวียน ไม่มีมุม ไม่มีองศา ไม่มีวิถีที่คาดเดาได้

เอี้ยก้วยตวัดกระบี่เข้าปะทะ—

เคร้ง!

ปลายกระบี่กระทบกัน แต่กลับมิได้มีเสียงกังวานของโลหะ กลับเป็นเสียงสายน้ำแตกกระจาย ก่อนจะรวมตัวกันใหม่ราวกับไม่เคยแปรเปลี่ยน

“กระบี่ของเจ้ามีขอบเขต” JAKK กล่าว “แต่วารี... ไร้ขอบเขต”

เอี้ยก้วยมิได้ตอบ แต่ร่างของเขาเริ่มเคลื่อนไหวช้าลง สายตามิได้จับจ้องไปที่กระบี่ของ JAKK อีกต่อไป แต่กลับมองไปที่ ‘กระแสน้ำ’ ที่กำลังไหลเวียนอยู่รอบตัวเขา

เขาต้องไม่ต่อสู้กับมัน แต่ต้องเป็นหนึ่งเดียวกับมัน

ร่างของเอี้ยก้วยเริ่มขยับไหลลื่นขึ้น ความแข็งแกร่งของกระบี่วิหคถูกหลอมรวมเข้ากับความอ่อนโยนของสายน้ำ ทุกก้าวย่างของเขาเบาหวิว ทุกกระบวนท่าที่ปล่อยออกไป ไม่มีจุดเริ่มต้นและไม่มีจุดจบ

JAKK มองดูการเปลี่ยนแปลงนั้นก่อนจะค่อย ๆ ลดกระบี่วารีลง

“เข้าใจแล้วหรือยัง?”

เอี้ยก้วยมิได้ตอบ เขาเพียงปล่อยให้หยาดฝนซึมผ่านร่างของตนเอง แต่ครั้งนี้ มิใช่เพราะมันตกลงมา แต่เพราะเขาเป็นส่วนหนึ่งของมัน

JAKK ยิ้มบาง ๆ ก่อนกล่าวทิ้งท้าย—

“เมื่อเจ้าเป็นวารี เจ้าจะไม่มีวันถูกทำลาย”

สิบหกปีต่อมา..

สายลมอ่อนพัดผ่านแมกไม้ เสียงน้ำไหลจากลำธารเล็ก ๆ ขับขานเป็นบทเพลงแห่งความสงบ ฟากฟ้าไร้เมฆฝน แสงอาทิตย์อ่อนจางทอดผ่านปลายใบไผ่ ดุจรอยยิ้มของสวรรค์หลังจากผ่านพายุอันเกรี้ยวกราดมาเนิ่นนาน

เอี้ยก้วยยืนอยู่บนโขดหินริมลำธาร มองสายน้ำที่ไหลผ่านราวกับไม่มีจุดสิ้นสุด ในแววตานั้นมีเพียงความสงบและลึกซึ้ง ร่างของเขายังคงองอาจเช่นวันวาน แต่สิ่งที่เปลี่ยนไปคือพลังอันเงียบสงบที่แผ่ซ่านอยู่รอบกาย มิใช่เพลิงแห่งโทสะ หากแต่เป็นสายธารที่ไหลลื่น ไม่มีสิ่งใดขวางกั้นได้

“เจ้ากำลังคิดอะไรอยู่?”

เสียงอ่อนโยนดังขึ้นเบื้องหลัง เซียวเหล่งนึ่ง ก้าวออกจากร่มเงาของต้นไม้ นางยังคงงดงามดังเดิม แม้กาลเวลาจะล่วงผ่าน ทว่าดวงตาของนางยังเปี่ยมไปด้วยความอ่อนโยน และรอยยิ้มที่มอบให้เอี้ยก้วยยังคงเป็นเช่นเดิม

เอี้ยก้วยหันมองนาง ก่อนยิ้มบาง ๆ แล้วทอดสายตากลับไปยังลำธาร “มีผู้หนึ่งเคยกล่าวกับข้า... วารีไม่เคยต่อต้านสิ่งใด แต่ไม่มีสิ่งใดทำลายมันได้”

เซียวเหล่งนึ่งขมวดคิ้วเล็กน้อย “ผู้ใด?”

เอี้ยก้วยนิ่งไปชั่วขณะ ก่อนตอบ “อาวุโสผู้หนึ่งนามว่า Jakk Goodday ไม่เพียงยอดฝีมือ แต่เป็นผู้ที่เข้าใจธรรมชาติแห่งทุกสรรพสิ่ง” เขายิ้มเล็กน้อย “เขาสอนข้าถึงพลังที่แท้จริงของวารี”

เซียวเหล่งนึ่งรับฟังเงียบ ๆ นางมองเขาด้วยแววตาที่เต็มไปด้วยความเข้าใจ

เขาหย่อนปลายนิ้วลงไปในน้ำเบื้องหน้า แหวนน้ำกระจายออกเป็นวง ทว่าไม่นานก็คืนสู่สภาพเดิม "แรงที่รุนแรงที่สุด ไม่ได้ทำให้ทุกอย่างแตกสลาย... แต่มันจะถูกดูดซับไปในที่สุด" เอี้ยก้วยพึมพำเบา ๆ

“เมื่อก่อน ข้ามักต่อต้านทุกสิ่ง” เอี้ยก้วยเอ่ยขึ้น แววตาสะท้อนถึงอดีตที่ผ่านมา “ข้าสู้กับโชคชะตา ข้าท้าทายทุกสิ่งที่ขัดขวางข้า ไม่ว่าจะเป็นสวรรค์หรือมนุษย์”

เอี้ยก้วยหลับตาลง สายลมพัดผ่านร่างของเขาเย็นเยียบ ก่อนจะเปิดตาขึ้นช้า ๆ "เมื่อก่อนข้าต้านทานทุกสิ่ง แต่บางครั้ง... ทางที่มั่นคงที่สุด อาจเป็นทางที่ไม่มีเส้นทางเลย" เขาเอ่ยเสียงเบา คล้ายกล่าวกับตนเองมากกว่านาง

เซียวเหล่งนึ่งก้าวเข้าไปใกล้ มองสบตาเขานิ่ง ๆ "แล้วตอนนี้ เจ้าจะไหลไปตามกระแสน้ำ... หรือเจ้ายังต้องการกระบี่ของเจ้าอยู่?"

“น้ำไม่เคยฝืนตัวมันเอง มันไม่แข็งกร้าว แต่มันชนะทุกสิ่ง ไม่ว่าจะเป็นหินแข็งหรือเหล็กกล้า” เขายื่นมือแตะผิวน้ำเบา ๆ “กระบี่ของข้าเคยเป็นดังเปลวไฟที่เผาผลาญทุกสิ่ง แต่ตอนนี้... มันเป็นสายธารที่ไหลไปตามใจของมัน”

เซียวเหล่งนึ่งก้าวเข้ามาใกล้ แสงอาทิตย์ส่องต้องนางราวกับนางเป็นภาพฝัน “ข้าดีใจที่เจ้ากลับมา... และข้าดีใจที่เจ้าพบสิ่งที่เจ้าตามหามาตลอด”

เอี้ยก้วยหันกลับมาสบตานาง แววตาของเขาอ่อนโยน "ข้ารู้แล้วว่า การรอคอยที่แท้จริง... มิใช่เพียงรอคอยเจ้า แต่เป็นรอคอยวันที่ข้าจะเข้าใจตัวข้าเอง"

เซียวเหล่งนึ่งยิ้ม “และตอนนี้ เจ้าเข้าใจแล้วหรือไม่?”

เอี้ยก้วยพยักหน้า “ข้าเข้าใจแล้ว” เขากุมมือนางเบา ๆ “รักที่แท้จริงมิใช่พันธนาการ มันเป็นดั่งสายน้ำ ไม่ต้องไขว่คว้า ไม่ต้องครอบครอง แต่ไหลไปตามทางของมันเอง”

เซียวเหล่งนึ่งเงยหน้าขึ้นสบตาเขา นางไม่ต้องการคำพูดใดอีก เพราะทุกสิ่งอยู่ในดวงตาของเขาแล้ว

สายลมพัดผ่านเบา ๆ ลำธารยังคงไหลไปข้างหน้า ไม่มีสิ่งใดหยุดยั้งมันได้ เช่นเดียวกับเวลาที่เคลื่อนผ่าน และความรักที่ไม่มีวันจืดจาง

และในที่สุด... เอี้ยก้วยก็ได้กลายเป็นดั่งสายน้ำ ที่ไม่มีวันถูกทำลาย