@ 7953d1fa:69c8039d

No mundo digital em constante evolução, plataformas de entretenimento online vêm ganhando espaço entre os brasileiros que buscam diversão, emoção e recompensas. Uma das opções que tem se destacado recentemente é a KK999, uma plataforma moderna, segura e repleta de oportunidades para jogadores de todos os níveis. Com uma ampla gama de jogos envolventes e uma experiência de usuário otimizada, o KK999 está conquistando cada vez mais adeptos no Brasil.

Introdução à Plataforma KK999 O KK999 se diferencia por oferecer uma experiência completa e intuitiva desde o primeiro acesso. A interface da plataforma foi cuidadosamente projetada para ser amigável, permitindo que novos usuários se cadastrem rapidamente e naveguem com facilidade. Tudo é pensado para garantir que o jogador tenha uma experiência fluida, sem complicações e com total transparência.

Além disso, o kk999se destaca por sua forte infraestrutura de segurança. Utilizando tecnologia de criptografia de ponta, os dados dos usuários são protegidos em todas as transações, garantindo tranquilidade para quem deseja apenas se divertir. Outro ponto importante é o suporte ao cliente, que está disponível 24 horas por dia, com atendimento em português, pronto para auxiliar com qualquer dúvida ou necessidade.

Variedade de Jogos para Todos os Gostos Um dos grandes atrativos do KK999 é a impressionante variedade de jogos disponíveis. Desde os tradicionais jogos de cartas até opções modernas com gráficos avançados, a plataforma atende todos os estilos de jogadores. Entre os destaques, estão as famosas roletas virtuais, jogos de pesca interativa, slot machines com temas variados e jogos ao vivo que simulam a sensação de estar em uma sala de jogos física.

Os slots, por exemplo, são um sucesso entre os brasileiros, oferecendo desde títulos clássicos com frutas e números até aventuras temáticas com bônus emocionantes. Os jogos de cartas também têm grande popularidade, incluindo versões modernas de pôquer, bacará e outros jogos estratégicos que desafiam a mente do jogador.

Para quem gosta de competir em tempo real, o KK999 oferece jogos ao vivo com crupiês reais e interatividade instantânea, proporcionando uma experiência imersiva e cheia de adrenalina. Tudo isso com transmissões de alta qualidade e conexão estável.

Experiência do Jogador: Diversão e Confiabilidade A experiência do jogador é uma das maiores prioridades do KK999. Desde o primeiro cadastro até as jogadas mais avançadas, a plataforma investe em funcionalidades que aumentam o conforto e a confiança do usuário. A navegação é rápida, os jogos carregam com eficiência e as recompensas são distribuídas com agilidade.

Outro fator que atrai muitos jogadores é o sistema de bônus e promoções. O KK999 frequentemente disponibiliza ofertas especiais para novos membros e prêmios para usuários frequentes, incentivando a fidelidade e aumentando ainda mais as chances de ganhar.

Além disso, o KK999 oferece uma experiência totalmente otimizada para dispositivos móveis. Seja no celular ou tablet, o jogador pode acessar todos os recursos da plataforma de qualquer lugar, a qualquer momento, sem perder desempenho ou qualidade.

Conclusão O KK999 se consolida como uma das principais plataformas de entretenimento digital no Brasil, reunindo inovação, segurança e uma variedade impressionante de jogos. Ideal tanto para iniciantes quanto para jogadores experientes, o site oferece tudo o que é necessário para transformar momentos comuns em experiências emocionantes.

@ 7953d1fa:69c8039d

O cenário do entretenimento online no Brasil vem evoluindo rapidamente, e uma das plataformas que mais se destaca atualmente é a 8CC. Com uma proposta moderna, intuitiva e voltada para a melhor experiência do usuário, a 8CC conquistou a confiança de milhares de jogadores que buscam diversão, praticidade e oportunidades de ganhos reais em um ambiente seguro.

Conhecendo a Plataforma 8CC A 8CC é uma plataforma digital desenvolvida para atender tanto iniciantes quanto jogadores experientes. Sua interface amigável e bem organizada facilita a navegação mesmo para quem nunca teve contato com esse tipo de entretenimento antes. Compatível com computadores, tablets e celulares, o site é totalmente responsivo, o que significa que você pode se divertir de qualquer lugar, a qualquer hora.

Um dos diferenciais da 8cc é o seu compromisso com a segurança dos usuários. A plataforma utiliza tecnologia de criptografia de ponta para garantir a proteção de dados pessoais e transações financeiras. Além disso, o suporte ao cliente está sempre disponível para tirar dúvidas, resolver problemas e oferecer o melhor atendimento possível.

Diversidade de Jogos para Todos os Gostos Na 8CC, os jogadores têm acesso a uma vasta seleção de jogos online, desenvolvidos pelos principais provedores do mercado internacional. Isso garante alta qualidade gráfica, mecânicas inovadoras e excelente desempenho.

Entre os jogos mais populares da plataforma estão:

Slots (caça-níqueis): com temas variados, rodadas bônus e jackpots progressivos que proporcionam grandes emoções.

Jogos de mesa clássicos: como roleta, blackjack e bacará, com versões que imitam perfeitamente a experiência de jogo ao vivo.

Jogos com crupiês em tempo real: transmitidos com qualidade HD, esses jogos trazem interatividade e realismo, permitindo que o jogador se sinta dentro de um ambiente físico de alto padrão.

A plataforma também disponibiliza jogos de habilidade e apostas esportivas ao vivo, oferecendo uma experiência ainda mais completa e personalizada de acordo com o perfil de cada usuário.

Experiência do Jogador na 8CC Quem já experimentou jogar na 8CC sabe o quanto a plataforma valoriza o conforto e a satisfação de seus usuários. Desde o momento do cadastro até o resgate de ganhos, tudo é feito de forma simples, rápida e segura. O processo de registro é intuitivo, exigindo apenas alguns dados básicos, e os métodos de pagamento são variados, aceitando transferências bancárias, carteiras digitais e até criptomoedas.

Outro destaque é o sistema de recompensas e promoções. A 8CC frequentemente oferece bônus de boas-vindas, rodadas grátis e campanhas especiais para usuários fiéis, o que aumenta ainda mais as chances de ganhar e prolonga a diversão. Além disso, a plataforma promove torneios e desafios semanais com prêmios atrativos, incentivando a competição saudável entre os jogadores.

Por Que Escolher a 8CC? Existem muitas razões para escolher a 8CC como sua principal plataforma de jogos online:

Confiabilidade e segurança em todas as operações;

Variedade de jogos para todos os perfis;

Interface moderna e de fácil navegação;

Promoções e bônus frequentes;

Atendimento ao cliente eficiente e disponível 24 horas.

Se você busca uma experiência diferenciada, com diversão garantida e a possibilidade de transformar seu tempo livre em momentos empolgantes, a 8CC é a escolha certa. Descubra agora mesmo tudo o que essa plataforma inovadora tem a oferecer e junte-se à comunidade que está revolucionando o entretenimento digital no Brasil.

@ 472f440f:5669301e

Marty's Bent

https://www.youtube.com/watch?v=p0Sj1sG05VQ

Here's a great presentation from our good friend nostr:nprofile1qyx8wumn8ghj7cnjvghxjmcpp4mhxue69uhkummn9ekx7mqqyz2hj3zg2g3pqwxuhg69zgjhke4pcmjmmdpnndnefqndgqjt8exwj6ee8v7 , President of The Nakamoto Institute titled Hodl for Good. He gave it earlier this year at the BitBlockBoom Conference, and I think it's something everyone reading this should take 25 minutes to watch. Especially if you find yourself wondering whether or not it's a good idea to spend bitcoin at any given point in time. Michael gives an incredible Austrian Economics 101 lesson on the importance of lowering one's time preference and fully understanding the importance of hodling bitcoin. For the uninitiated, it may seem that the hodl meme is nothing more than a call to hoard bitcoins in hopes of getting rich eventually. However, as Michael points out, there's layers to the hodl meme and the good that hodling can bring individuals and the economy overall.

The first thing one needs to do to better understand the hodl meme is to completely flip the framing that is typically thrust on bitcoiners who encourage others to hodl. Instead of ceding that hodling is a greedy or selfish action, remind people that hodling, or better known as saving, is the foundation of capital formation, from which all productive and efficient economic activity stems. Number go up technology is great and it really matters. It matters because it enables anybody leveraging that technology to accumulate capital that can then be allocated toward productive endeavors that bring value to the individual who creates them and the individual who buys them.

When one internalizes this, it enables them to turn to personal praxis and focus on minimizing present consumption while thinking of ways to maximize long-term value creation. Live below your means, stack sats, and use the time that you're buying to think about things that you want in the future. By lowering your time preference and saving in a harder money you will have the luxury of demanding higher quality goods in the future. Another way of saying this is that you will be able to reshape production by voting with your sats. Initially when you hold them off the market by saving them - signaling that the market doesn't have goods worthy of your sats - and ultimately by redeploying them into the market when you find higher quality goods that meet the standards desire.

The first part of this equation is extremely important because it sends a signal to producers that they need to increase the quality of their work. As more and more individuals decide to use bitcoin as their savings technology, the signal gets stronger. And over many cycles we should begin to see low quality cheap goods exit the market in favor of higher quality goods that provide more value and lasts longer and, therefore, make it easier for an individual to depart with their hard-earned and hard-saved sats. This is only but one aspect that Michael tries to imbue throughout his presentation.

The other is the ability to buy yourself leisure time when you lower your time preference and save more than you spend. When your savings hit a critical tipping point that gives you the luxury to sit back and experience true leisure, which Michael explains is not idleness, but the contemplative space to study, create art, refine taste, and to find what "better goods" actually are. Those who can experience true leisure while reaping the benefits of saving in a hard asset that is increasing in purchasing power significantly over the long term are those who build truly great things. Things that outlast those who build them. Great art, great monuments, great institutions were all built by men who were afforded the time to experience leisure. Partly because they were leveraging hard money as their savings and the place they stored the profits reaped from their entrepreneurial endeavors.

If you squint and look into the future a couple of decades, it isn't hard to see a reality like this manifesting. As more people begin to save in Bitcoin, the forces of supply and demand will continue to come into play. There will only ever be 21 million bitcoin, there are around 8 billion people on this planet, and as more of those 8 billion individuals decide that bitcoin is the best savings vehicle, the price of bitcoin will rise.

When the price of bitcoin rises, it makes all other goods cheaper in bitcoin terms and, again, expands the entrepreneurial opportunity. The best part about this feedback loop is that even non-holders of bitcoin benefit through higher real wages and faster tech diffusion. The individuals and business owners who decide to hodl bitcoin will bring these benefits to the world whether you decide to use bitcoin or not.

This is why it is virtuous to hodl bitcoin. The potential for good things to manifest throughout the world increase when more individuals decide to hodl bitcoin. And as Michael very eloquently points out, this does not mean that people will not spend their bitcoin. It simply means that they have standards for the things that they will spend their bitcoin on. And those standards are higher than most who are fully engrossed in the high velocity trash economy have today.

In my opinion, one of those higher causes worthy of a sats donation is nostr:nprofile1qyfhwumn8ghj7enjv4jhyetvv9uju7re0gq3uamnwvaz7tmfdemxjmrvv9nk2tt0w468v6tvd3skwefwvdhk6qpqwzc9lz2f40azl98shkjewx3pywg5e5alwqxg09ew2mdyeey0c2rqcfecft . Consider donating so they can preserve and disseminate vital information about bitcoin and its foundations.

The Shell Game: How Health Narratives May Distract from Vaccine Risks

In our recent podcast, Dr. Jack Kruse presented a concerning theory about public health messaging. He argues that figures like Casey and Callie Means are promoting food and exercise narratives as a deliberate distraction from urgent vaccine issues. While no one disputes healthy eating matters, Dr. Kruse insists that focusing on "Froot Loops and Red Dye" diverts attention from what he sees as immediate dangers of mRNA vaccines, particularly for children.

"It's gonna take you 50 years to die from processed food. But the messenger jab can drop you like Damar Hamlin." - Dr Jack Kruse

Dr. Kruse emphasized that approximately 25,000 children per month are still receiving COVID vaccines despite concerns, with 3 million doses administered since Trump's election. This "shell game," as he describes it, allows vaccines to remain on childhood schedules while public attention fixates on less immediate health threats. As host, I believe this pattern deserves our heightened scrutiny given the potential stakes for our children's wellbeing.

Check out the full podcast here for more on Big Pharma's alleged bioweapons program, the "Time Bank Account" concept, and how Bitcoin principles apply to health sovereignty.

Headlines of the Day

Aussie Judge: Bitcoin is Money, Possibly CGT-Exempt - via X

JPMorgan to Let Clients Buy Bitcoin Without Direct Custody - via X

Get our new STACK SATS hat - via tftcmerch.io

Mubadala Acquires 384,239 sats | $408.50M Stake in BlackRock Bitcoin ETF - via X

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Ten31, the largest bitcoin-focused investor, has deployed 158,469 sats | $150.00M across 30+ companies through three funds. I am a Managing Partner at Ten31 and am very proud of the work we are doing. Learn more at ten31.vc/invest.

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Final thought...

I've been walking from my house around Town Lake in Austin in the mornings and taking calls on the walk. Big fan of a walking call.

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@ 6e0ea5d6:0327f353

**Ascolta bene! ** A man's sentimental longing, though often disguised in noble language and imagination, is a sickness—not a virtue.

It begins as a slight inclination toward tenderness, cloaked in sweetness. Then it reveals itself as a masked addiction: a constant need to be seen by a woman, validated by her, and reciprocated—as if someone else's affection were the only anchor preventing the shipwreck of his emotions.

The man who understands the weight of leadership seeks no applause, no gratitude, not even romantic love. He knows that his role is not theatrical but structural. He is not measured by the emotion he evokes, but by the stability he ensures. Being a true man is not ornamental. He is not a decorative symbol in the family frame.

We live in an era where male roles have been distorted by an overindulgence in emotion. The man stopped guiding and began asking for direction. His firmness was exchanged for softness, his decisiveness for hesitation. Trying to please, many have given up authority. Trying to love, they’ve begun to bow. A man who begs for validation within his own home is not a leader—he is a guest. And when the patriarch has to ask for a seat at the table he should preside over and sustain, something has already been irreversibly inverted.

Unexamined longing turns into pleading. And all begging is the antechamber of humiliation. A man who never learned to cultivate dignified solitude will inevitably fall to his knees in desperation. And then, he yields. Yields to mediocre presence, to shallow affection, to constant disrespect. He smiles while he bleeds, praises the one who despises him, accepts crumbs and pretends it’s a banquet. All of it, cazzo... just to avoid the horror of being alone.

Davvero, amico mio, for the men who beg for romance, only the consolation of being remembered will remain—not with respect, but with pity and disgust.

The modern world feeds the fragile with illusions, but reality spits them out. Sentimental longing is now celebrated as sensitivity. But every man who nurtures it as an excuse will, sooner or later, pay for it with his dignity.

Thank you for reading, my friend!

If this message resonated with you, consider leaving your "🥃" as a token of appreciation.

A toast to our family!

@ 502ab02a:a2860397

พอพูดถึงบริษัทอย่าง Formo ที่ทำชีสโดยไม่ใช้วัวเลย คนส่วนใหญ่จะนึกถึงคำว่า “นวัตกรรม” “ยั่งยืน” “ลดโลกร้อน” กันเป็นด่านแรก แต่พอเฮียมองทะลุม่านควันพวกนี้ไป จะเห็นทุนรายใหญ่ที่หนุนหลังอยู่ ซึ่งหลายเจ้าก็ไม่ใช่ผู้พิทักษ์โลก แต่เป็นผู้เล่นตัวจี๊ดในอุตสาหกรรมอาหารโลกมายาวนาน

หนึ่งในนั้นคือบริษัทจากเกาหลีใต้ชื่อ CJ CheilJedang ซึ่งอาจฟังดูไกลตัว แต่จริงๆ แล้ว เฮียว่าชื่อนี้โผล่ตามซองอาหารสำเร็จรูปในครัวคนไทยหลายบ้านโดยไม่รู้ตัว

ถ้าจะเข้าใจ Formo ให้ถึงแก่น เราต้องมองไปถึงทุนที่ “ใส่เงิน” และ “ใส่จุดยืน” ลงไปในบริษัทนั้น และหนึ่งในผู้ถือหุ้นรายสำคัญก็คือ CJ CheilJedang บริษัทเกาหลีใต้ที่ก่อตั้งมาตั้งแต่ปี 1953 โดยเริ่มจากการเป็นโรงงานผลิตน้ำตาล จากนั้นก็กินรวบแทบทุกวงจรอาหารของเกาหลี

โปรไฟล์ CJ แค่เห็นภาพรวมก็ขนลุกแล้วครับ ลูกพี่เราแข็งแกร่งขนาดไหน - เป็นเจ้าของแบรนด์ Bibigo ที่เราอาจจะคุ้นในสินค้า กิมจิ และ CJ Foods ที่มีขายทั่วโลก -เป็นผู้ผลิต กรดอะมิโน รายใหญ่ของโลก เช่น ไลซีน, ทรีโอนีน, ทริปโตแฟน ที่ใช้เป็นวัตถุดิบในอาหารสัตว์ แต่ตอนนี้หลายบริษัทเอาไปใส่ใน Plant-based food แล้วเคลมว่าเป็นโปรตีนสมบูรณ์ -เป็นเจ้าของโรงงานผลิต แบคทีเรียสายพันธุ์พิเศษ สำหรับการหมักหลายประเภท -ขึ้นชื่อเรื่อง bioscience โดยเฉพาะ precision fermentation ซึ่งเป็นเทคโนโลยีเดียวกับที่ Formo ใช้ผลิตเคซีน (โปรตีนในนมวัว)

แปลว่า CJ ไม่ได้มาลงทุนใน Formo แบบ “หวังผลกำไรเฉยๆ” แต่เขามองเห็น “อนาคตใหม่ของอาหาร” ที่ตัวเองจะเป็นเจ้าของต้นน้ำยันปลายน้ำ

คำถามก็คือเบื้องลึกการลงทุนใน Formo ใครได้อะไร? Formo ปิดรอบระดมทุน Series A ได้ประมาณ 50 ล้านดอลลาร์สหรัฐ เมื่อปี 2021 โดยมีนักลงทุนหลายเจ้า เช่น EQT Ventures, Elevat3 Capital, Atomico แต่ CJ CheilJedang ก็เป็นหนึ่งในผู้ลงทุนเชิงกลยุทธ์ (strategic investor) ที่เข้ามาแบบไม่ใช่แค่ลงเงิน แต่เอา เทคโนโลยี + เครือข่ายโรงงาน + ซัพพลายเชนระดับโลก มาเสริมให้ Formo ขยายได้เร็วขึ้น

การจับมือกันครั้งนี้มีนัยยะสำคัญครับ -Formo ได้ เทคโนโลยีหมักจุลินทรีย์ (ที่ CJ ถนัดมาก) และช่องทางกระจายสินค้าในเอเชีย -CJ ได้ ถือหุ้นในบริษัทที่กำลังจะเปลี่ยนภาพ “ผลิตภัณฑ์จากนม” ให้กลายเป็นสิ่งที่ไม่ต้องมีสัตว์อีกต่อไป ซึ่งจะเป็นกลยุทธ์สำคัญในการสร้างแบรนด์อาหารแห่งอนาคต ที่นมจะต้องมาจากโรงงานผลิตเท่านั้นจึงจะมีคุณสมบัติที่ดีทั้งสารอาหารและความสะอาด

CJ เองก็เคยประกาศต่อสื่อว่า อยากเป็น “Global Lifestyle Company” ซึ่งฟังดูเบาๆ แต่จริงๆ คือแผนใหญ่ในการ เปลี่ยนวิธีการกินของคนทั้งโลกได้เลยเช่นกัน -จาก “อาหารจริง” ไปเป็น “อาหารสังเคราะห์” (synthetic food) -จาก “ฟาร์มสัตว์” ไปเป็น “ถังหมักจุลินทรีย์” -จาก “ความหลากหลายตามธรรมชาติ” ไปเป็น “สูตรกลาง” ที่ควบคุมได้ในระดับโมเลกุล

การหนุนหลัง Formo จึงไม่ใช่เรื่องบังเอิญ แต่เป็นอีกหนึ่งหมากในกระดานใหญ่ที่ CJ วางไว้ เพื่อเป็นเจ้าของอาหารอนาคตแบบไม่ต้องเลี้ยงหมู ไก่ วัว แต่ครองเทคโนโลยีแทน

คำถามคือแล้วผู้บริโภคจะรู้ทันไหมว่า เบื้องหลังชีสที่ไม่มีวัว อาจมี “ทุนที่อยากครองโลกอาหาร” คำที่เคลมว่า “ยั่งยืน” อาจสร้างระบบอาหารใหม่ที่ยิ่งห่างจากธรรมชาติเข้าไปทุกที

คนที่เคย “กลัวสารเคมี” ในอาหารแปรรูป กลับกลืนผลิตภัณฑ์จากห้องแล็บ โดยคิดว่า “มันคือความสะอาดและอนาคต” #pirateketo #กูต้องรู้มั๊ย #ม้วนหางสิลูก #siamstr

@ fd06f542:8d6d54cd

🧱 NostrTrust Initial Trust Score List (V0.1)

This list defines the initial trust scores (T Score) for key members of the Nostr community based on their contributions, reputation, and role in the ecosystem. The goal is to seed a decentralized trust system that encourages quality interactions and authentic contributions.

> ⚠️ Note: This is an draft version.

✅ Initial T Score Allocation Rules

| User Type | Initial T Score Range | Criteria | |-----------|------------------------|----------| | Founder | 10,000 | Creator of the Nostr protocol | | Core Developers | 5,000 - 8,000 | Major contributors to core codebase, clients, or infrastructure | | Active Contributors | 1,000 - 4,000 | Recognized long-term contributors to content, tools, or community |

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👤 Initial Trust Score Table

| Name / Alias | npub | Initial T Score | Justification | |--------------|------|------------------|----------------| | fiatjaf | npub180cvv07tjdrrgpa0j7j7tmnyl2yr6yr7l8j4s3evf6u64th6gkwsyjh6w6 | 10,000 | Creator of the Nostr protocol | |Jack|npub1sg6plzptd64u62a878hep2kev88swjh3tw00gjsfl8f237lmu63q0uf63m|9,000|| | jb55 | npub1xtscya34g58tk0z605fvr788k263gsu6cy9x0mhnm87echrgufzsevkk5s | 7,000 | Developer of tools, relays, and early Nostr integrations,made damus | |Alex Gleason | npub1q3sle0kvfsehgsuexttt3ugjd8xdklxfwwkh559wxckmzddywnws6cd26p | 7,000 || |PABLOF7z|npub1l2vyh47mk2p0qlsku7hg0vn29faehy9hy34ygaclpn66ukqp3afqutajft|7,000|NDK| |DASHU|npub19yeqjawls407xjnmgkk6yss7936pcd7qzd5srlj8wye6j8433vrsjazqwk|4,000|Nostrmo | |Moss|npub129z0az8lgffuvsywazww07hx75qas3veh3dazsq56z8y39v86khs2uy5gm|4,000| freerse.com| |w|npub10td4yrp6cl9kmjp9x5yd7r8pm96a5j07lk5mtj2kw39qf8frpt8qm9x2wl|4,000| 0xchat | |Cody Tseng|npub1syjmjy0dp62dhccq3g97fr87tngvpvzey08llyt6ul58m2zqpzps9wf6wl|4,000| jumble.social| |nostr_cn_dev|npub1l5r02s4udsr28xypsyx7j9lxchf80ha4z6y6269d0da9frtd2nxsvum9jm|1,000|nostrbook.com,NostrTrust,nostrbridge| |hzrd149|npub1ye5ptcxfyyxl5vjvdjar2ua3f0hynkjzpx552mu5snj3qmx5pzjscpknpr|6,000|blossom,nostrudel| ||||| ||||| ||||| ||||| |||||

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@ 5d4b6c8d:8a1c1ee3

https://youtu.be/EPiE-Ruhohg

I'm pretty sure Ben called Caruso the "Bald Mamba" in this video, which is an awesome nickname for him.

Great walkthrough of the adjustments made over the course of seven games to try to disrupt Joker, culminating with putting Caruso (who's 100 lbs lighter and 6 inches shorter) on him.

https://stacker.news/items/984227

@ 04c915da:3dfbecc9

One of the most common criticisms leveled against nostr is the perceived lack of assurance when it comes to data storage. Critics argue that without a centralized authority guaranteeing that all data is preserved, important information will be lost. They also claim that running a relay will become prohibitively expensive. While there is truth to these concerns, they miss the mark. The genius of nostr lies in its flexibility, resilience, and the way it harnesses human incentives to ensure data availability in practice.

A nostr relay is simply a server that holds cryptographically verifiable signed data and makes it available to others. Relays are simple, flexible, open, and require no permission to run. Critics are right that operating a relay attempting to store all nostr data will be costly. What they miss is that most will not run all encompassing archive relays. Nostr does not rely on massive archive relays. Instead, anyone can run a relay and choose to store whatever subset of data they want. This keeps costs low and operations flexible, making relay operation accessible to all sorts of individuals and entities with varying use cases.

Critics are correct that there is no ironclad guarantee that every piece of data will always be available. Unlike bitcoin where data permanence is baked into the system at a steep cost, nostr does not promise that every random note or meme will be preserved forever. That said, in practice, any data perceived as valuable by someone will likely be stored and distributed by multiple entities. If something matters to someone, they will keep a signed copy.

Nostr is the Streisand Effect in protocol form. The Streisand effect is when an attempt to suppress information backfires, causing it to spread even further. With nostr, anyone can broadcast signed data, anyone can store it, and anyone can distribute it. Try to censor something important? Good luck. The moment it catches attention, it will be stored on relays across the globe, copied, and shared by those who find it worth keeping. Data deemed important will be replicated across servers by individuals acting in their own interest.

Nostr’s distributed nature ensures that the system does not rely on a single point of failure or a corporate overlord. Instead, it leans on the collective will of its users. The result is a network where costs stay manageable, participation is open to all, and valuable verifiable data is stored and distributed forever.

@ c296b5f7:c7282b53

testee

@ c296b5f7:c7282b53

@ c296b5f7:c7282b53

https://curtlink.com/user/login powerdigital f1950610#@

@ c296b5f7:c7282b53

enter in leaders group https://chat.whatsapp.com/EhI9fGsMbGPHd2cF5KQwC9

@ 85fb39c4:81498307

teste

@ 9be6a199:6e133301

this is the content

this is an update

@ 85fb39c4:81498307

It's my first post

@ 9be6a199:6e133301

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@ 4ba8e86d:89d32de4

O que é Cwtch? Cwtch (/kʊtʃ/ - uma palavra galesa que pode ser traduzida aproximadamente como “um abraço que cria um lugar seguro”) é um protocolo de mensagens multipartidário descentralizado, que preserva a privacidade, que pode ser usado para construir aplicativos resistentes a metadados.

Como posso pronunciar Cwtch? Como "kutch", para rimar com "butch".

Descentralizado e Aberto : Não existe “serviço Cwtch” ou “rede Cwtch”. Os participantes do Cwtch podem hospedar seus próprios espaços seguros ou emprestar sua infraestrutura para outras pessoas que buscam um espaço seguro. O protocolo Cwtch é aberto e qualquer pessoa é livre para criar bots, serviços e interfaces de usuário e integrar e interagir com o Cwtch.

Preservação de privacidade : toda a comunicação no Cwtch é criptografada de ponta a ponta e ocorre nos serviços cebola Tor v3.

Resistente a metadados : O Cwtch foi projetado de forma que nenhuma informação seja trocada ou disponibilizada a ninguém sem seu consentimento explícito, incluindo mensagens durante a transmissão e metadados de protocolo

Uma breve história do bate-papo resistente a metadados Nos últimos anos, a conscientização pública sobre a necessidade e os benefícios das soluções criptografadas de ponta a ponta aumentou com aplicativos como Signal , Whatsapp e Wire. que agora fornecem aos usuários comunicações seguras.

No entanto, essas ferramentas exigem vários níveis de exposição de metadados para funcionar, e muitos desses metadados podem ser usados ​​para obter detalhes sobre como e por que uma pessoa está usando uma ferramenta para se comunicar.

Uma ferramenta que buscou reduzir metadados é o Ricochet lançado pela primeira vez em 2014. Ricochet usou os serviços cebola Tor v2 para fornecer comunicação criptografada segura de ponta a ponta e para proteger os metadados das comunicações.

Não havia servidores centralizados que auxiliassem no roteamento das conversas do Ricochet. Ninguém além das partes envolvidas em uma conversa poderia saber que tal conversa está ocorrendo.

Ricochet tinha limitações; não havia suporte para vários dispositivos, nem existe um mecanismo para suportar a comunicação em grupo ou para um usuário enviar mensagens enquanto um contato está offline.

Isto tornou a adoção do Ricochet uma proposta difícil; mesmo aqueles em ambientes que seriam melhor atendidos pela resistência aos metadados, sem saber que ela existe.

Além disso, qualquer solução para comunicação descentralizada e resistente a metadados enfrenta problemas fundamentais quando se trata de eficiência, privacidade e segurança de grupo conforme definido pelo consenso e consistência da transcrição.

Alternativas modernas ao Ricochet incluem Briar , Zbay e Ricochet Refresh - cada ferramenta procura otimizar para um conjunto diferente de compensações, por exemplo, Briar procura permitir que as pessoas se comuniquem mesmo quando a infraestrutura de rede subjacente está inoperante, ao mesmo tempo que fornece resistência à vigilância de metadados.

O projeto Cwtch começou em 2017 como um protocolo de extensão para Ricochet, fornecendo conversas em grupo por meio de servidores não confiáveis, com o objetivo de permitir aplicativos descentralizados e resistentes a metadados como listas compartilhadas e quadros de avisos.

Uma versão alfa do Cwtch foi lançada em fevereiro de 2019 e, desde então, a equipe do Cwtch dirigida pela OPEN PRIVACY RESEARCH SOCIETY conduziu pesquisa e desenvolvimento em cwtch e nos protocolos, bibliotecas e espaços de problemas subjacentes.

Modelo de Risco.

Sabe-se que os metadados de comunicações são explorados por vários adversários para minar a segurança dos sistemas, para rastrear vítimas e para realizar análises de redes sociais em grande escala para alimentar a vigilância em massa. As ferramentas resistentes a metadados estão em sua infância e faltam pesquisas sobre a construção e a experiência do usuário de tais ferramentas.

https://nostrcheck.me/media/public/nostrcheck.me_9475702740746681051707662826.webp

O Cwtch foi originalmente concebido como uma extensão do protocolo Ricochet resistente a metadados para suportar comunicações assíncronas de grupos multiponto por meio do uso de infraestrutura anônima, descartável e não confiável.

Desde então, o Cwtch evoluiu para um protocolo próprio. Esta seção descreverá os vários riscos conhecidos que o Cwtch tenta mitigar e será fortemente referenciado no restante do documento ao discutir os vários subcomponentes da Arquitetura Cwtch.

Modelo de ameaça.

É importante identificar e compreender que os metadados são omnipresentes nos protocolos de comunicação; é de facto necessário que tais protocolos funcionem de forma eficiente e em escala. No entanto, as informações que são úteis para facilitar peers e servidores também são altamente relevantes para adversários que desejam explorar tais informações.

Para a definição do nosso problema, assumiremos que o conteúdo de uma comunicação é criptografado de tal forma que um adversário é praticamente incapaz de quebrá-lo veja tapir e cwtch para detalhes sobre a criptografia que usamos, e como tal nos concentraremos em o contexto para os metadados de comunicação.

Procuramos proteger os seguintes contextos de comunicação:

• Quem está envolvido em uma comunicação? Pode ser possível identificar pessoas ou simplesmente identificadores de dispositivos ou redes. Por exemplo, “esta comunicação envolve Alice, uma jornalista, e Bob, um funcionário público”.

• Onde estão os participantes da conversa? Por exemplo, “durante esta comunicação, Alice estava na França e Bob estava no Canadá”.

• Quando ocorreu uma conversa? O momento e a duração da comunicação podem revelar muito sobre a natureza de uma chamada, por exemplo, “Bob, um funcionário público, conversou com Alice ao telefone por uma hora ontem à noite. Esta é a primeira vez que eles se comunicam.” *Como a conversa foi mediada? O fato de uma conversa ter ocorrido por meio de um e-mail criptografado ou não criptografado pode fornecer informações úteis. Por exemplo, “Alice enviou um e-mail criptografado para Bob ontem, enquanto eles normalmente enviam apenas e-mails de texto simples um para o outro”.

• Sobre o que é a conversa? Mesmo que o conteúdo da comunicação seja criptografado, às vezes é possível derivar um contexto provável de uma conversa sem saber exatamente o que é dito, por exemplo, “uma pessoa ligou para uma pizzaria na hora do jantar” ou “alguém ligou para um número conhecido de linha direta de suicídio na hora do jantar”. 3 horas da manhã."

Além das conversas individuais, também procuramos defender-nos contra ataques de correlação de contexto, através dos quais múltiplas conversas são analisadas para obter informações de nível superior:

• Relacionamentos: Descobrir relações sociais entre um par de entidades analisando a frequência e a duração de suas comunicações durante um período de tempo. Por exemplo, Carol e Eve ligam uma para a outra todos os dias durante várias horas seguidas.

• Cliques: Descobrir relações sociais entre um grupo de entidades que interagem entre si. Por exemplo, Alice, Bob e Eva se comunicam entre si.

• Grupos vagamente conectados e indivíduos-ponte: descobrir grupos que se comunicam entre si através de intermediários, analisando cadeias de comunicação (por exemplo, toda vez que Alice fala com Bob, ela fala com Carol quase imediatamente depois; Bob e Carol nunca se comunicam).

• Padrão de Vida: Descobrir quais comunicações são cíclicas e previsíveis. Por exemplo, Alice liga para Eve toda segunda-feira à noite por cerca de uma hora. Ataques Ativos

Ataques de deturpação.

O Cwtch não fornece registro global de nomes de exibição e, como tal, as pessoas que usam o Cwtch são mais vulneráveis ​​a ataques baseados em declarações falsas, ou seja, pessoas que fingem ser outras pessoas:

O fluxo básico de um desses ataques é o seguinte, embora também existam outros fluxos:

•Alice tem um amigo chamado Bob e outro chamado Eve

• Eve descobre que Alice tem um amigo chamado Bob

• Eve cria milhares de novas contas para encontrar uma que tenha uma imagem/chave pública semelhante à de Bob (não será idêntica, mas pode enganar alguém por alguns minutos)

• Eve chama essa nova conta de "Eve New Account" e adiciona Alice como amiga.

• Eve então muda seu nome em "Eve New Account" para "Bob"

• Alice envia mensagens destinadas a "Bob" para a conta falsa de Bob de Eve Como os ataques de declarações falsas são inerentemente uma questão de confiança e verificação, a única maneira absoluta de evitá-los é os usuários validarem absolutamente a chave pública. Obviamente, isso não é o ideal e, em muitos casos, simplesmente não acontecerá .

Como tal, pretendemos fornecer algumas dicas de experiência do usuário na interface do usuário para orientar as pessoas na tomada de decisões sobre confiar em contas e/ou distinguir contas que possam estar tentando se representar como outros usuários.

Uma nota sobre ataques físicos A Cwtch não considera ataques que exijam acesso físico (ou equivalente) à máquina do usuário como praticamente defensáveis. No entanto, no interesse de uma boa engenharia de segurança, ao longo deste documento ainda nos referiremos a ataques ou condições que exigem tal privilégio e indicaremos onde quaisquer mitigações que implementámos falharão.

Um perfil Cwtch.

Os usuários podem criar um ou mais perfis Cwtch. Cada perfil gera um par de chaves ed25519 aleatório compatível com Tor.

Além do material criptográfico, um perfil também contém uma lista de Contatos (outras chaves públicas do perfil Cwtch + dados associados sobre esse perfil, como apelido e (opcionalmente) mensagens históricas), uma lista de Grupos (contendo o material criptográfico do grupo, além de outros dados associados, como apelido do grupo e mensagens históricas).

Conversões entre duas partes: ponto a ponto

https://nostrcheck.me/media/public/nostrcheck.me_2186338207587396891707662879.webp

Para que duas partes participem de uma conversa ponto a ponto, ambas devem estar on-line, mas apenas uma precisa estar acessível por meio do serviço Onion. Por uma questão de clareza, muitas vezes rotulamos uma parte como “ponto de entrada” (aquele que hospeda o serviço cebola) e a outra parte como “ponto de saída” (aquele que se conecta ao serviço cebola).

Após a conexão, ambas as partes adotam um protocolo de autenticação que:

• Afirma que cada parte tem acesso à chave privada associada à sua identidade pública.

• Gera uma chave de sessão efêmera usada para criptografar todas as comunicações futuras durante a sessão.

Esta troca (documentada com mais detalhes no protocolo de autenticação ) é negável offline , ou seja, é possível para qualquer parte falsificar transcrições desta troca de protocolo após o fato e, como tal - após o fato - é impossível provar definitivamente que a troca aconteceu de forma alguma.

Após o protocolo de autenticação, as duas partes podem trocar mensagens livremente.

Conversas em Grupo e Comunicação Ponto a Servidor

Ao iniciar uma conversa em grupo, é gerada uma chave aleatória para o grupo, conhecida como Group Key. Todas as comunicações do grupo são criptografadas usando esta chave. Além disso, o criador do grupo escolhe um servidor Cwtch para hospedar o grupo. Um convite é gerado, incluindo o Group Key, o servidor do grupo e a chave do grupo, para ser enviado aos potenciais membros.

Para enviar uma mensagem ao grupo, um perfil se conecta ao servidor do grupo e criptografa a mensagem usando a Group Key, gerando também uma assinatura sobre o Group ID, o servidor do grupo e a mensagem. Para receber mensagens do grupo, um perfil se conecta ao servidor e baixa as mensagens, tentando descriptografá-las usando a Group Key e verificando a assinatura.

Detalhamento do Ecossistema de Componentes

O Cwtch é composto por várias bibliotecas de componentes menores, cada uma desempenhando um papel específico. Algumas dessas bibliotecas incluem:

• abertoprivacidade/conectividade: Abstração de rede ACN, atualmente suportando apenas Tor.
• cwtch.im/tapir: Biblioteca para construção de aplicativos p2p em sistemas de comunicação anônimos.
• cwtch.im/cwtch: Biblioteca principal para implementação do protocolo/sistema Cwtch.
• cwtch.im/libcwtch-go: Fornece ligações C para Cwtch para uso em implementações de UI.

TAPIR: Uma Visão Detalhada

Projetado para substituir os antigos canais de ricochete baseados em protobuf, o Tapir fornece uma estrutura para a construção de aplicativos anônimos.

Está dividido em várias camadas:

• Identidade - Um par de chaves ed25519, necessário para estabelecer um serviço cebola Tor v3 e usado para manter uma identidade criptográfica consistente para um par.

• Conexões – O protocolo de rede bruto que conecta dois pares. Até agora, as conexões são definidas apenas através do Tor v3 Onion Services.

• Aplicativos - As diversas lógicas que permitem um determinado fluxo de informações em uma conexão. Os exemplos incluem transcrições criptográficas compartilhadas, autenticação, proteção contra spam e serviços baseados em tokens. Os aplicativos fornecem recursos que podem ser referenciados por outros aplicativos para determinar se um determinado peer tem a capacidade de usar um determinado aplicativo hospedado.

• Pilhas de aplicativos - Um mecanismo para conectar mais de um aplicativo, por exemplo, a autenticação depende de uma transcrição criptográfica compartilhada e o aplicativo peer cwtch principal é baseado no aplicativo de autenticação.

Identidade.

Um par de chaves ed25519, necessário para estabelecer um serviço cebola Tor v3 e usado para manter uma identidade criptográfica consistente para um peer.

InitializeIdentity - de um par de chaves conhecido e persistente:i,I

InitializeEphemeralIdentity - de um par de chaves aleatório: ie,Ie

Aplicativos de transcrição.

Inicializa uma transcrição criptográfica baseada em Merlin que pode ser usada como base de protocolos baseados em compromisso de nível superior

O aplicativo de transcrição entrará em pânico se um aplicativo tentar substituir uma transcrição existente por uma nova (aplicando a regra de que uma sessão é baseada em uma e apenas uma transcrição).

Merlin é uma construção de transcrição baseada em STROBE para provas de conhecimento zero. Ele automatiza a transformação Fiat-Shamir, para que, usando Merlin, protocolos não interativos possam ser implementados como se fossem interativos.

Isto é significativamente mais fácil e menos sujeito a erros do que realizar a transformação manualmente e, além disso, também fornece suporte natural para:

• protocolos multi-round com fases alternadas de commit e desafio;

• separação natural de domínios, garantindo que os desafios estejam vinculados às afirmações a serem provadas;

• enquadramento automático de mensagens, evitando codificação ambígua de dados de compromisso;

• e composição do protocolo, usando uma transcrição comum para vários protocolos.

Finalmente, o Merlin também fornece um gerador de números aleatórios baseado em transcrição como defesa profunda contra ataques de entropia ruim (como reutilização de nonce ou preconceito em muitas provas). Este RNG fornece aleatoriedade sintética derivada de toda a transcrição pública, bem como dos dados da testemunha do provador e uma entrada auxiliar de um RNG externo.

Conectividade Cwtch faz uso do Tor Onion Services (v3) para todas as comunicações entre nós.

Fornecemos o pacote openprivacy/connectivity para gerenciar o daemon Tor e configurar e desmontar serviços cebola através do Tor.

Criptografia e armazenamento de perfil.

Os perfis são armazenados localmente no disco e criptografados usando uma chave derivada de uma senha conhecida pelo usuário (via pbkdf2).

Observe que, uma vez criptografado e armazenado em disco, a única maneira de recuperar um perfil é recuperando a senha - como tal, não é possível fornecer uma lista completa de perfis aos quais um usuário pode ter acesso até inserir uma senha.

Perfis não criptografados e a senha padrão Para lidar com perfis "não criptografados" (ou seja, que não exigem senha para serem abertos), atualmente criamos um perfil com uma senha codificada de fato .

Isso não é o ideal, preferiríamos confiar no material de chave fornecido pelo sistema operacional, de modo que o perfil fosse vinculado a um dispositivo específico, mas esses recursos são atualmente uma colcha de retalhos - também notamos, ao criar um perfil não criptografado, pessoas que usam Cwtch estão explicitamente optando pelo risco de que alguém com acesso ao sistema de arquivos possa descriptografar seu perfil.

Vulnerabilidades Relacionadas a Imagens e Entrada de Dados

Imagens Maliciosas

O Cwtch enfrenta desafios na renderização de imagens, com o Flutter utilizando Skia, embora o código subjacente não seja totalmente seguro para a memória.

Realizamos testes de fuzzing nos componentes Cwtch e encontramos um bug de travamento causado por um arquivo GIF malformado, levando a falhas no kernel. Para mitigar isso, adotamos a política de sempre habilitar cacheWidth e/ou cacheHeight máximo para widgets de imagem.

Identificamos o risco de imagens maliciosas serem renderizadas de forma diferente em diferentes plataformas, como evidenciado por um bug no analisador PNG da Apple.

Riscos de Entrada de Dados

Um risco significativo é a interceptação de conteúdo ou metadados por meio de um Input Method Editor (IME) em dispositivos móveis. Mesmo aplicativos IME padrão podem expor dados por meio de sincronização na nuvem, tradução online ou dicionários pessoais.

Implementamos medidas de mitigação, como enableIMEPersonalizedLearning: false no Cwtch 1.2, mas a solução completa requer ações em nível de sistema operacional e é um desafio contínuo para a segurança móvel.

Servidor Cwtch.

O objetivo do protocolo Cwtch é permitir a comunicação em grupo através de infraestrutura não confiável .

Ao contrário dos esquemas baseados em retransmissão, onde os grupos atribuem um líder, um conjunto de líderes ou um servidor confiável de terceiros para garantir que cada membro do grupo possa enviar e receber mensagens em tempo hábil (mesmo que os membros estejam offline) - infraestrutura não confiável tem o objetivo de realizar essas propriedades sem a suposição de confiança.

O artigo original do Cwtch definia um conjunto de propriedades que se esperava que os servidores Cwtch fornecessem:

• O Cwtch Server pode ser usado por vários grupos ou apenas um.

• Um servidor Cwtch, sem a colaboração de um membro do grupo, nunca deve aprender a identidade dos participantes de um grupo.

• Um servidor Cwtch nunca deve aprender o conteúdo de qualquer comunicação.

• Um servidor Cwtch nunca deve ser capaz de distinguir mensagens como pertencentes a um grupo específico. Observamos aqui que essas propriedades são um superconjunto dos objetivos de design das estruturas de Recuperação de Informações Privadas.

Melhorias na Eficiência e Segurança

Eficiência do Protocolo

Atualmente, apenas um protocolo conhecido, o PIR ingênuo, atende às propriedades desejadas para garantir a privacidade na comunicação do grupo Cwtch. Este método tem um impacto direto na eficiência da largura de banda, especialmente para usuários em dispositivos móveis. Em resposta a isso, estamos ativamente desenvolvendo novos protocolos que permitem negociar garantias de privacidade e eficiência de maneiras diversas.

Os servidores, no momento desta escrita, permitem o download completo de todas as mensagens armazenadas, bem como uma solicitação para baixar mensagens específicas a partir de uma determinada mensagem. Quando os pares ingressam em um grupo em um novo servidor, eles baixam todas as mensagens do servidor inicialmente e, posteriormente, apenas as mensagens novas.

Mitigação de Análise de Metadados

Essa abordagem permite uma análise moderada de metadados, pois o servidor pode enviar novas mensagens para cada perfil suspeito exclusivo e usar essas assinaturas de mensagens exclusivas para rastrear sessões ao longo do tempo. Essa preocupação é mitigada por dois fatores:

1. Os perfis podem atualizar suas conexões a qualquer momento, resultando em uma nova sessão do servidor.
2. Os perfis podem ser "ressincronizados" de um servidor a qualquer momento, resultando em uma nova chamada para baixar todas as mensagens. Isso é comumente usado para buscar mensagens antigas de um grupo.

Embora essas medidas imponham limites ao que o servidor pode inferir, ainda não podemos garantir resistência total aos metadados. Para soluções futuras para esse problema, consulte Niwl.

Proteção contra Pares Maliciosos

Os servidores enfrentam o risco de spam gerado por pares, representando uma ameaça significativa à eficácia do sistema Cwtch. Embora tenhamos implementado um mecanismo de proteção contra spam no protótipo do Cwtch, exigindo que os pares realizem alguma prova de trabalho especificada pelo servidor, reconhecemos que essa não é uma solução robusta na presença de um adversário determinado com recursos significativos.

Pacotes de Chaves

Os servidores Cwtch se identificam por meio de pacotes de chaves assinados, contendo uma lista de chaves necessárias para garantir a segurança e resistência aos metadados na comunicação do grupo Cwtch. Esses pacotes de chaves geralmente incluem três chaves: uma chave pública do serviço Tor v3 Onion para o Token Board, uma chave pública do Tor v3 Onion Service para o Token Service e uma chave pública do Privacy Pass.

Para verificar os pacotes de chaves, os perfis que os importam do servidor utilizam o algoritmo trust-on-first-use (TOFU), verificando a assinatura anexada e a existência de todos os tipos de chave. Se o perfil já tiver importado o pacote de chaves do servidor anteriormente, todas as chaves são consideradas iguais.

Configuração prévia do aplicativo para ativar o Relé do Cwtch.

No Android, a hospedagem de servidor não está habilitada, pois essa opção não está disponível devido às limitações dos dispositivos Android. Essa funcionalidade está reservada apenas para servidores hospedados em desktops.

No Android, a única forma direta de importar uma chave de servidor é através do grupo de teste Cwtch, garantindo assim acesso ao servidor Cwtch.

Primeiro passo é Habilitar a opção de grupo no Cwtch que está em fase de testes. Clique na opção no canto superior direito da tela de configuração e pressione o botão para acessar as configurações do Cwtch.

Você pode alterar o idioma para Português do Brasil.Depois, role para baixo e selecione a opção para ativar os experimentos. Em seguida, ative a opção para habilitar o chat em grupo e a pré-visualização de imagens e fotos de perfil, permitindo que você troque sua foto de perfil.

https://pomf2.lain.la/f/eprhj0u3.mp4

Próximo passo é Criar um perfil.

Pressione o + botão de ação no canto inferior direito e selecione "Novo perfil" ou aberta no botão + adicionar novo perfil.

• Selecione um nome de exibição

• Selecione se deseja proteger

este perfil e salvo localmente com criptografia forte: Senha: sua conta está protegida de outras pessoas que possam usar este dispositivo

Sem senha: qualquer pessoa que tenha acesso a este dispositivo poderá acessar este perfil.

Preencha sua senha e digite-a novamente

Os perfis são armazenados localmente no disco e criptografados usando uma chave derivada de uma senha conhecida pelo usuário (via pbkdf2).

Observe que, uma vez criptografado e armazenado em disco, a única maneira de recuperar um perfil é recuperando a chave da senha - como tal, não é possível fornecer uma lista completa de perfis aos quais um usuário pode ter acesso até inserir um senha.

https://pomf2.lain.la/f/7p6jfr9r.mp4

O próximo passo é adicionar o FuzzBot, que é um bot de testes e de desenvolvimento.

Contato do FuzzBot: 4y2hxlxqzautabituedksnh2ulcgm2coqbure6wvfpg4gi2ci25ta5ad.

Ao enviar o comando "testgroup-invite" para o FuzzBot, você receberá um convite para entrar no Grupo Cwtch Test. Ao ingressar no grupo, você será automaticamente conectado ao servidor Cwtch. Você pode optar por sair do grupo a qualquer momento ou ficar para conversar e tirar dúvidas sobre o aplicativo e outros assuntos. Depois, você pode configurar seu próprio servidor Cwtch, o que é altamente recomendável. https://pomf2.lain.la/f/x4pm8hm8.mp4

Agora você pode utilizar o aplicativo normalmente. Algumas observações que notei: se houver demora na conexão com outra pessoa, ambas devem estar online. Se ainda assim a conexão não for estabelecida, basta clicar no ícone de reset do Tor para restabelecer a conexão com a outra pessoa.

Uma introdução aos perfis Cwtch.

Com Cwtch você pode criar um ou mais perfis . Cada perfil gera um par de chaves ed25519 aleatório compatível com a Rede Tor.

Este é o identificador que você pode fornecer às pessoas e que elas podem usar para entrar em contato com você via Cwtch.

Cwtch permite criar e gerenciar vários perfis separados. Cada perfil está associado a um par de chaves diferente que inicia um serviço cebola diferente.

Gerenciar Na inicialização, o Cwtch abrirá a tela Gerenciar Perfis. Nessa tela você pode:

• Crie um novo perfil.
• Desbloquear perfis.
• Criptografados existentes.
• Gerenciar perfis carregados.
• Alterando o nome de exibição de um perfil.
• Alterando a senha de um perfil Excluindo um perfil.
• Alterando uma imagem de perfil.

Backup ou exportação de um perfil.

Na tela de gerenciamento de perfil:

1. Selecione o lápis ao lado do perfil que você deseja editar

2. Role para baixo até a parte inferior da tela.

3. Selecione "Exportar perfil"

4. Escolha um local e um nome de arquivo.

5.confirme.

Uma vez confirmado, o Cwtch colocará uma cópia do perfil no local indicado. Este arquivo é criptografado no mesmo nível do perfil.

Este arquivo pode ser importado para outra instância do Cwtch em qualquer dispositivo.

Importando um perfil.

1. Pressione o +botão de ação no canto inferior direito e selecione "Importar perfil"

2. Selecione um arquivo de perfil Cwtch exportado para importar

3. Digite a senha associada ao perfil e confirme.

Uma vez confirmado, o Cwtch tentará descriptografar o arquivo fornecido usando uma chave derivada da senha fornecida. Se for bem-sucedido, o perfil aparecerá na tela Gerenciamento de perfil e estará pronto para uso.

OBSERVAÇÃO Embora um perfil possa ser importado para vários dispositivos, atualmente apenas uma versão de um perfil pode ser usada em todos os dispositivos ao mesmo tempo. As tentativas de usar o mesmo perfil em vários dispositivos podem resultar em problemas de disponibilidade e falhas de mensagens.

Qual é a diferença entre uma conexão ponto a ponto e um grupo cwtch?

As conexões ponto a ponto Cwtch permitem que 2 pessoas troquem mensagens diretamente. As conexões ponto a ponto nos bastidores usam serviços cebola Tor v3 para fornecer uma conexão criptografada e resistente a metadados. Devido a esta conexão direta, ambas as partes precisam estar online ao mesmo tempo para trocar mensagens.

Os Grupos Cwtch permitem que várias partes participem de uma única conversa usando um servidor não confiável (que pode ser fornecido por terceiros ou auto-hospedado). Os operadores de servidores não conseguem saber quantas pessoas estão em um grupo ou o que está sendo discutido. Se vários grupos estiverem hospedados em um único servidor, o servidor não conseguirá saber quais mensagens pertencem a qual grupo sem a conivência de um membro do grupo. Ao contrário das conversas entre pares, as conversas em grupo podem ser conduzidas de forma assíncrona, para que todos num grupo não precisem estar online ao mesmo tempo.

Por que os grupos cwtch são experimentais? Mensagens em grupo resistentes a metadados ainda são um problema em aberto . Embora a versão que fornecemos no Cwtch Beta seja projetada para ser segura e com metadados privados, ela é bastante ineficiente e pode ser mal utilizada. Como tal, aconselhamos cautela ao usá-lo e apenas o fornecemos como um recurso opcional.

Como posso executar meu próprio servidor Cwtch? A implementação de referência para um servidor Cwtch é de código aberto . Qualquer pessoa pode executar um servidor Cwtch, e qualquer pessoa com uma cópia do pacote de chaves públicas do servidor pode hospedar grupos nesse servidor sem que o operador tenha acesso aos metadados relacionados ao grupo .

https://git.openprivacy.ca/cwtch.im/server

https://docs.openprivacy.ca/cwtch-security-handbook/server.html

Como posso desligar o Cwtch? O painel frontal do aplicativo possui um ícone do botão "Shutdown Cwtch" (com um 'X'). Pressionar este botão irá acionar uma caixa de diálogo e, na confirmação, o Cwtch será desligado e todos os perfis serão descarregados.

Suas doações podem fazer a diferença no projeto Cwtch? O Cwtch é um projeto dedicado a construir aplicativos que preservam a privacidade, oferecendo comunicação de grupo resistente a metadados. Além disso, o projeto também desenvolve o Cofre, formulários da web criptografados para ajudar mútua segura. Suas contribuições apoiam iniciativas importantes, como a divulgação de violações de dados médicos em Vancouver e pesquisas sobre a segurança do voto eletrônico na Suíça. Ao doar, você está ajudando a fechar o ciclo, trabalhando com comunidades marginalizadas para identificar e corrigir lacunas de privacidade. Além disso, o projeto trabalha em soluções inovadoras, como a quebra de segredos através da criptografia de limite para proteger sua privacidade durante passagens de fronteira. E também tem a infraestrutura: toda nossa infraestrutura é open source e sem fins lucrativos. Conheça também o Fuzzytags, uma estrutura criptográfica probabilística para marcação resistente a metadados. Sua doação é crucial para continuar o trabalho em prol da privacidade e segurança online. Contribua agora com sua doação

https://openprivacy.ca/donate/

onde você pode fazer sua doação em bitcoin e outras moedas, e saiba mais sobre os projetos. https://openprivacy.ca/work/

Link sobre Cwtch

https://cwtch.im/

https://git.openprivacy.ca/cwtch.im/cwtch

https://docs.cwtch.im/docs/intro

https://docs.openprivacy.ca/cwtch-security-handbook/

Baixar #CwtchDev

cwtch.im/download/

https://play.google.com/store/apps/details?id=im.cwtch.flwtch

@ cae03c48:2a7d6671

Bitcoin Magazine

BitMine Launches Bitcoin Treasury Advisory Practice, Secures $4M Deal with First Client

Today, BitMine Immersion Technologies, Inc. (OTCQX: BMNRD) announced the launch of its Bitcoin Treasury Advisory Practice and a $4 million deal with a U.S. exchange-listed company. The deal saw Bitmine surpass its last year’s total revenue in that single transaction alone, according to the announcement.

BitMine ( OTCQX: $BMNRD $BMNR) launches Bitcoin Treasury Advisory Practice and secures $4M deal with first client.

This single transaction exceeds our 2024 revenue and sets the stage for major growth.

Read now: https://t.co/R89K3WXdZZ pic.twitter.com/5vIvlYPZUY

— Bitmine Immersion Technologies, Inc. (@BitMNR) May 19, 2025

BitMine will provide “Mining as a Service” (MaaS) by leasing 3,000 Bitcoin ASIC miners to the client through December 30, 2025, in a $3.2 million lease deal, with $1.6 million paid upfront. Additionally, the client has signed an $800,000 consulting agreement for one year focusing on Bitcoin Mining-as-a-Service and Bitcoin Treasury Strategy.

“Currently, there are almost 100 public companies that have adopted Bitcoin as a treasury holding. We expect this number to grow in the future. As more companies adopt Bitcoin treasury strategies, the need for infrastructure, revenue generation, and expert guidance grows along with it,” said Jonathan Bates, CEO of BitMine. “This single transaction is greater than our entire 2024 fiscal year revenue, and we feel there is an opportunity to acquire more clients in the near future as interest in Bitcoin ownership grows.”

BitMine’s first quarter 2025 results showed strong revenue growth, with GAAP revenue rising approximately 135% to $1.2 million, up from $511,000 in Q1 2024, supported by an expanded mining capacity of 4,640 miners as of November 30, 2024, compared to 1,606 the previous year. Despite this growth, the company reported a net loss of $3.9 million in Q1 2025, primarily due to a one-time, non-cash accounting adjustment related to preferred stock; excluding this charge, the adjusted loss was approximately $975,000, consistent with the prior year’s results.

$BMNR reports a 135% revenue increase YOY for Q1 2025 and tripled self-mining capacity with 3,000 new miners! CEO Jonathan Bates credits a team-driven approach and creative financing for this growth.
Read the full release here: https://t.co/slNrZv8Ocn pic.twitter.com/Gb4tk1UfAO

— Bitmine Immersion Technologies, Inc. (@BitMNR) January 13, 2025

BitMine’s new Bitcoin Treasury Advisory Practice, along with the $4 million deal, joins a trend among public companies exploring Bitcoin not just as a treasury asset but also as a source of revenue. 

This post BitMine Launches Bitcoin Treasury Advisory Practice, Secures $4M Deal with First Client first appeared on Bitcoin Magazine and is written by Oscar Zarraga Perez.

@ 08f96856:ffe59a09

เมื่อพูดถึง Bitcoin Standard หลายคนมักนึกถึงภาพโลกอนาคตที่ทุกคนใช้บิตคอยน์ซื้อกาแฟหรือของใช้ในชีวิตประจำวัน ภาพแบบนั้นดูเหมือนไกลตัวและเป็นไปไม่ได้ในความเป็นจริง หลายคนถึงกับพูดว่า “คงไม่ทันเห็นในช่วงชีวิตนี้หรอก” แต่ในมุมมองของผม Bitcoin Standard อาจไม่ได้เริ่มต้นจากการที่เราจ่ายบิตคอยน์โดยตรงในร้านค้า แต่อาจเริ่มจากบางสิ่งที่เงียบกว่า ลึกกว่า และเกิดขึ้นแล้วในขณะนี้ นั่นคือ การล่มสลายทีละน้อยของระบบเฟียตที่เราใช้กันอยู่

ระบบเงินที่อิงกับอำนาจรัฐกำลังเข้าสู่ช่วงขาลง รัฐบาลทั่วโลกกำลังจมอยู่ในภาระหนี้ระดับประวัติการณ์ แม้แต่ประเทศมหาอำนาจก็เริ่มแสดงสัญญาณของภาวะเสี่ยงผิดนัดชำระหนี้ อัตราเงินเฟ้อกลายเป็นปัญหาเรื้อรังที่ไม่มีท่าทีจะหายไป ธนาคารที่เคยโอนฟรีเริ่มกลับมาคิดค่าธรรมเนียม และประชาชนก็เริ่มรู้สึกถึงการเสื่อมศรัทธาในระบบการเงินดั้งเดิม แม้จะยังพูดกันไม่เต็มเสียงก็ตาม

ในขณะเดียวกัน บิตคอยน์เองก็กำลังพัฒนาแบบเงียบ ๆ เงียบ... แต่ไม่เคยหยุด โดยเฉพาะในระดับ Layer 2 ที่เริ่มแสดงศักยภาพอย่างจริงจัง Lightning Network เป็น Layer 2 ที่เปิดใช้งานมาได้ระยะเวลสหนึ่ง และยังคงมีบทบาทสำคัญที่สุดในระบบนิเวศของบิตคอยน์ มันทำให้การชำระเงินเร็วขึ้น มีต้นทุนต่ำ และไม่ต้องบันทึกทุกธุรกรรมลงบล็อกเชน เครือข่ายนี้กำลังขยายตัวทั้งในแง่ของโหนดและการใช้งานจริงทั่วโลก

ขณะเดียวกัน Layer 2 ทางเลือกอื่นอย่าง Ark Protocol ก็กำลังพัฒนาเพื่อตอบโจทย์ด้านความเป็นส่วนตัวและประสบการณ์ใช้งานที่ง่าย BitVM เปิดแนวทางใหม่ให้บิตคอยน์รองรับ smart contract ได้ในระดับ Turing-complete ซึ่งทำให้เกิดความเป็นไปได้ในกรณีใช้งานอีกมากมาย และเทคโนโลยีที่น่าสนใจอย่าง Taproot Assets, Cashu และ Fedimint ก็ทำให้การออกโทเคนหรือสกุลเงินที่อิงกับบิตคอยน์เป็นจริงได้บนโครงสร้างของบิตคอยน์เอง

เทคโนโลยีเหล่านี้ไม่ใช่การเติบโตแบบปาฏิหาริย์ แต่มันคืบหน้าอย่างต่อเนื่องและมั่นคง และนั่นคือเหตุผลที่มันจะ “อยู่รอด” ได้ในระยะยาว เมื่อฐานของความน่าเชื่อถือไม่ใช่บริษัท รัฐบาล หรือทุน แต่คือสิ่งที่ตรวจสอบได้และเปลี่ยนกฎไม่ได้

แน่นอนว่าบิตคอยน์ต้องแข่งขันกับ stable coin, เงินดิจิทัลของรัฐ และ cryptocurrency อื่น ๆ แต่สิ่งที่ทำให้มันเหนือกว่านั้นไม่ใช่ฟีเจอร์ หากแต่เป็นความทนทาน และความมั่นคงของกฎที่ไม่มีใครเปลี่ยนได้ ไม่มีทีมพัฒนา ไม่มีบริษัท ไม่มีประตูปิด หรือการยึดบัญชี มันยืนอยู่บนคณิตศาสตร์ พลังงาน และเวลา

หลายกรณีใช้งานที่เคยถูกทดลองในโลกคริปโตจะค่อย ๆ เคลื่อนเข้ามาสู่บิตคอยน์ เพราะโครงสร้างของมันแข็งแกร่งกว่า ไม่ต้องการทีมพัฒนาแกนกลาง ไม่ต้องพึ่งกลไกเสี่ยงต่อการผูกขาด และไม่ต้องการ “ความเชื่อใจ” จากใครเลย

Bitcoin Standard ที่ผมพูดถึงจึงไม่ใช่การเปลี่ยนแปลงแบบพลิกหน้ามือเป็นหลังมือ แต่คือการ “เปลี่ยนฐานของระบบ” ทีละชั้น ระบบการเงินใหม่ที่อิงอยู่กับบิตคอยน์กำลังเกิดขึ้นแล้ว มันไม่ใช่โลกที่ทุกคนถือเหรียญบิตคอยน์ แต่มันคือโลกที่คนใช้อาจไม่รู้ตัวด้วยซ้ำว่า “สิ่งที่เขาใช้นั้นอิงอยู่กับบิตคอยน์”

ผู้คนอาจใช้เงินดิจิทัลที่สร้างบน Layer 3 หรือ Layer 4 ผ่านแอป ผ่านแพลตฟอร์ม หรือผ่านสกุลเงินใหม่ที่ดูไม่ต่างจากเดิม แต่เบื้องหลังของระบบจะผูกไว้กับบิตคอยน์

และถ้ามองในเชิงพัฒนาการ บิตคอยน์ก็เหมือนกับอินเทอร์เน็ต ครั้งหนึ่งอินเทอร์เน็ตก็ถูกมองว่าเข้าใจยาก ต้องพิมพ์ http ต้องรู้จัก TCP/IP ต้องตั้ง proxy เอง แต่ปัจจุบันผู้คนใช้งานอินเทอร์เน็ตโดยไม่รู้ว่าเบื้องหลังมีอะไรเลย บิตคอยน์กำลังเดินตามเส้นทางเดียวกัน โปรโตคอลกำลังถอยออกจากสายตา และวันหนึ่งเราจะ “ใช้มัน” โดยไม่ต้องรู้ว่ามันคืออะไร

หากนับจากช่วงเริ่มต้นของอินเทอร์เน็ตในยุค 1990 จนกลายเป็นโครงสร้างหลักของโลกในสองทศวรรษ เส้นเวลาของบิตคอยน์ก็กำลังเดินตามรอยเท้าของอินเทอร์เน็ต และถ้าเราเชื่อว่าวัฏจักรของเทคโนโลยีมีจังหวะของมันเอง เราก็จะรู้ว่า Bitcoin Standard นั้นไม่ใช่เรื่องของอนาคตไกลโพ้น แต่มันเกิดขึ้นแล้ว

siamstr

@ 866e0139:6a9334e5

Autor: Ludwig F. Badenhagen. Dieser Beitrag wurde mit dem Pareto-Client geschrieben. Sie finden alle Texte der Friedenstaube und weitere Texte zum Thema Frieden hier. Die neuesten Pareto-Artikel finden Sie auch in unserem Telegram-Kanal.

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Die neuesten Artikel der Friedenstaube gibt es jetzt auch im eigenen Friedenstaube-Telegram-Kanal.

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Wer einhundert Prozent seines Einkommens abgeben muss, ist sicher ein Sklave, oder? Aber ab wieviel Prozent Pflichtabgabe ist er denn kein Sklave mehr? Ab wann ist er frei und selbst-bestimmt?

Wer definieren möchte, was ein Sklave ist, sollte nicht bei Pflichtabgaben verweilen, denn die Fremdbestimmtheit geht viel weiter. Vielfach hat der gewöhnliche Mensch wenig Einfluss darauf, wie er und seine Familie misshandelt wird. Es wird verfügt, welche Bildung, welche Nahrung, welche Medikamente, welche Impfungen und welche Kriege er zu erdulden hat. Hierbei erkennt der gewöhnliche Mensch aber nur, wer ihm direkt etwas an-tut. So wie der Gefolterte bestenfalls seinen Folterer wahrnimmt, aber nicht den, in dessen Auftrag dieser handelt, so haben die vorbezeichnet Geschädigten mit Lehrern, „Experten“, Ärzten und Politikern zu tun. Ebenfalls ohne zu wissen, in wessen Auftrag diese Leute handeln. „Führungssysteme“ sind so konzipiert, dass für viele Menschen bereits kleinste wahrgenommene Vorteile genügen, um einem anderen Menschen Schlimmes anzutun.

Aber warum genau wird Menschen Schlimmes angetan? Die Gründe dafür sind stets dieselben. Der Täter hat ein Motiv und Motivlagen können vielfältig sein. 

Wer also ein Motiv hat, ein Geschehen zu beeinflussen, motiviert andere zur Unterstützung. Wem es gelingt, bei anderen den Wunsch zu erwecken, das zu tun, was er möchte, ist wirklich mächtig. Und es sind die Mächtigen im Hintergrund, welche die Darsteller auf den Bühnen dieser Welt dazu nutzen, die Interessen der wirklich Mächtigen durchzusetzen. Insbesondere die letzten fünf Jahre haben eindrucksvoll gezeigt, wie willfährig Politiker, Ärzte, Experten und viele weitere ihre jeweiligen Aufträge gegen die Bevölkerung durchsetz(t)en.

Und so geschieht es auch beim aktuellen Krieg, der stellvertretend auf dem europäischen Kontinent ausgetragen wird. Parolen wie „nie wieder Krieg“ gehören der Vergangenheit an. Stattdessen ist nunmehr wieder der Krieg und nur der Krieg geeignet, um „Aggressionen des Gegners abzuwehren“ und um „uns zu verteidigen“. 

Das hat mindestens drei gute Gründe:

1. Mit einem Krieg können Sie einem anderen etwas wegnehmen, was er freiwillig nicht herausrückt. Auf diese Weise kommen Sie an dessen Land, seine Rohstoffe und sein Vermögen. Sie können ihn beherrschen und Ihren eigenen Einfluss ausbauen. Je mehr Ihnen gehört, um so besser ist das für Sie. Sie müssen sich weniger abstimmen und Widersacher werden einfach ausgeschaltet.
2. Wenn etwas über einen langen Zeitraum aufgebaut wurde, ist es irgendwann auch einmal fertig. Um aber viel Geld verdienen und etwas nach eigenen Vorstellungen gestalten zu können, muss immer wieder etwas Neues erschaffen werden, und da stört das Alte nur. Demzufolge ist ein Krieg ein geeignetes Mittel, etwas zu zerstören. Und das Schöne ist, dass man von Beginn an viel Geld verdient. Denn man muss dem indoktrinierten Volk nur vormachen, dass der Krieg „unbedingt erforderlich“ sei, um das Volk dann selbst bereitwillig für diesen Krieg bezahlen und auch sonst engagiert mitwirken zu lassen. Dann kann in Rüstung und „Kriegstauglichkeit“ investiert werden. Deutschland soll dem Vernehmen nach bereits in einigen Jahren „kriegstauglich“ sein. Der Gegner wartet sicher gerne mit seinen Angriffen, bis es so weit ist.
3. Und nicht zu vergessen ist, dass man die vielen gewöhnlichen Menschen loswird. Schon immer wurden Populationen „reguliert“. Das macht bei Tieren ebenfalls so, indem man sie je nach „Erfordernis“ tötet. Und bei kollabierenden Systemen zu Zeiten von Automatisierung und KI unter Berücksichtigung der Klimarettung wissen doch mittlerweile alle, dass es viel zu viele Menschen auf dem Planeten gibt. Wenn jemand durch medizinische Misshandlungen oder auch durch einen Krieg direkt stirbt, zahlt dies auf die Lösung des Problems ein. Aber auch ein „Sterben auf Raten“ ist von großem Vorteil, denn durch die „fachmännische Behandlung von Verletzten“ bis zu deren jeweiligen Tode lässt sich am Leid viel verdienen.

Sie erkennen, dass es sehr vorteilhaft ist, Kriege zu führen, oder? Und diese exemplarisch genannten drei Gründe könnten noch beliebig erweitert werden. 

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DIE FRIEDENSTAUBE FLIEGT AUCH IN IHR POSTFACH!

Hier können Sie die Friedenstaube abonnieren und bekommen die Artikel zugesandt, vorerst für alle kostenfrei, wir starten gänzlich ohne Paywall. (Die Bezahlabos fangen erst zu laufen an, wenn ein Monetarisierungskonzept für die Inhalte steht). Sie wollen der Genossenschaft beitreten oder uns unterstützen? Mehr Infos hier oder am Ende des Textes.

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Das Einzige, was gegen Kriegsereignisse sprechen könnte, wäre, dass man selbst niemandem etwas wegnehmen möchte, was ihm gehört, und dass man seinen Mitmenschen nicht schaden, geschweige denn diese verletzen oder gar töten möchte. 

In diesem Zusammenhang könnte man auch erkennen, dass die, die nach Krieg rufen, selbst nicht kämpfen. Auch deren Kinder nicht. Man könnte erkennen, dass man selbst nur benutzt wird, um die Interessen anderer durchzusetzen. Wie beim Brettspiel Schach hat jede Figur eine Funktion und keinem Spieler ist das Fortbestehen eines Bauern wichtig, wenn seine Entnahme dem Spielgewinn dient. Wer Krieg spielt, denkt sicher ähnlich.

Meine beiden Großväter waren Soldaten im zweiten Weltkrieg und erlebten die Grausamkeiten des Krieges und der Gefangenschaft so intensiv, dass sie mit uns Enkeln zu keiner Zeit hierüber sprechen konnten, da sie wohl wussten, dass uns allein ihre Erzählungen zutiefst traumatisiert hätten. Die Opas waren analog dem, was wir ihnen an Information abringen konnten, angeblich nur Sanitäter. Sanitäter, wie auch die meisten Großväter aus der Nachbarschaft. Wer aber jemals beobachten konnte, wie unbeholfen mein Opa ein Pflaster aufgebracht hat, der konnte sich denken, dass seine vermeintliche Tätigkeit als Sanitäter eine Notlüge war, um uns die Wahrheit nicht vermitteln zu müssen.

Mein Opa war mein bester Freund und mir treibt es unverändert die Tränen in die Augen, sein erlebtes Leid nachzuempfinden. Und trotz aller seelischen und körperlichen Verletzungen hat er nach seiner Rückkehr aus der Kriegshölle mit großem Erfolg daran gearbeitet, für seine Familie zu sorgen.

Manchmal ist es m. E. besser, die Dinge vom vorhersehbaren Ende aus zu betrachten, um zu entscheiden, welche Herausforderungen man annimmt und welche man besser ablehnt. Es brauchte fast 80 Jahre, um die Deutschen erneut dafür zu begeistern, Ihre Leben „für die gute Sache“ zu opfern. Was heutzutage aber anders ist als früher: Einerseits sind die Politiker dieser Tage sehr durchschaubar geworden. Aber in einem ähnlichen Verhältnis, wie die schauspielerischen Leistungen der Politiker abgenommen haben, hat die Volksverblödung zugenommen. 

Denken Sie nicht nach. Denken Sie stattdessen vor. Und denken Sie selbst. Für sich, Ihre Lieben und alle anderen Menschen. Andernfalls wird die Geschichte, so wie sie von meinen Opas (und Omas) erlebt wurde, mit neuen Technologien und „zeitgemäßen Methoden“ wiederholt. Dies führt zweifelsfrei zu Not und Tod.

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LASSEN SIE DER FRIEDENSTAUBE FLÜGEL WACHSEN!

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---

Sie sind noch nicht auf Nostr and wollen die volle Erfahrung machen (liken, kommentieren etc.)? Zappen können Sie den Autor auch ohne Nostr-Profil! Erstellen Sie sich einen Account auf Start. Weitere Onboarding-Leitfäden gibt es im Pareto-Wiki.

@ d360efec:14907b5f

🚀📉 #BTC วิเคราะห์ H2! พุ่งชน 105K แล้วเจอแรงขาย... จับตา FVG 100.5K เป็นจุดวัดใจ! 👀📊

จากากรวิเคราะห์ทางเทคนิคสำหรับ #Bitcoin ในกรอบเวลา H2:

สัปดาห์ที่แล้ว #BTC ได้เบรคและพุ่งขึ้นอย่างแข็งแกร่งค่ะ 📈⚡ แต่เมื่อวันจันทร์ที่ผ่านมา ราคาได้ขึ้นไปชนแนวต้านบริเวณ 105,000 ดอลลาร์ แล้วเจอแรงขายย่อตัวลงมาตลอดทั้งวันค่ะ 🧱📉

ตอนนี้ ระดับที่น่าจับตาอย่างยิ่งคือโซน H4 FVG (Fair Value Gap ในกราฟ 4 ชั่วโมง) ที่ 100,500 ดอลลาร์ ค่ะ 🎯 (FVG คือโซนที่ราคาวิ่งผ่านไปเร็วๆ และมักเป็นบริเวณที่ราคามีโอกาสกลับมาทดสอบ/เติมเต็ม)

👇 โซน FVG ที่ 100.5K นี้ ยังคงเป็น Area of Interest ที่น่าสนใจสำหรับมองหาจังหวะ Long เพื่อลุ้นการขึ้นในคลื่นลูกถัดไปค่ะ!

🤔💡 อย่างไรก็ตาม การตัดสินใจเข้า Long หรือเทรดที่บริเวณนี้ ขึ้นอยู่กับว่าราคา แสดงปฏิกิริยาอย่างไรเมื่อมาถึงโซน 100.5K นี้ เพื่อยืนยันสัญญาณสำหรับการเคลื่อนไหวที่จะขึ้นสูงกว่าเดิมค่ะ!

เฝ้าดู Price Action ที่ระดับนี้อย่างใกล้ชิดนะคะ! 📍

BTC #Bitcoin #Crypto #คริปโต #TechnicalAnalysis #Trading #FVG #FairValueGap #PriceAction #MarketAnalysis #ลงทุนคริปโต #วิเคราะห์กราฟ #TradeSetup #ข่าวคริปโต #ตลาดคริปโต

@ 2b998b04:86727e47

After the pruning came clarity.\ And after the clarity came a quiet but relentless question:\ What now?

If I wasn’t going back to Web3, if I wasn’t going to pretend anymore — not in faith, not in finance — then I needed to start building again. But this time, with different materials. Different rhythms. A different spirit.

Starting Over on Solid Ground

I’d spent years exploring tokens, networks, and well-intentioned communities. But most of it, I see now, was sand. It moved with the tides. The incentives shifted. The values bent. And when the storms came — personal, financial, spiritual — much of what I’d been part of collapsed or exposed its shallowness.

So I returned to the beginning: What can’t be faked?

That’s where Bitcoin came in — not just as an asset, but as a foundation.\ It taught me cost. Time. Truth. It doesn’t market itself. It just is.\ A system that punishes shortcuts, rewards discipline, and invites peace.

And the more I leaned in, the more I realized:\ This isn’t just money. This is philosophy. This is soil.

Pruned to Plant Again

I used to be a buy-and-hold investor. I still carry those instincts. But in 2020–21, I discovered trading — and with it, a new kind of discipline. Not gambling. Not speculation. Stewardship under pressure. Real-time decision-making with skin in the game.

My grandfather, who passed in the late '90s, probably would’ve looked a little dimly on trading. He lived off his dividends. Stocks he held for decades. He wasn’t chasing. He was rooting. But he would’ve respected the discipline — the clarity — when done right.

He also saw things I didn’t. He once told me I wasn’t raised properly. It hurt at the time, but now I understand. He saw the drift — not just in me, but in the culture. He understood that frugality means nothing if it’s not paired with truth.

I think he would’ve respected what I’m doing now — even if he wouldn't have fully understand it.

What I’m Building Now

• StartNation – A Bitcoin-aligned equity accelerator. Proof-based. No tokens. No hype.

• Golden Gate Group Investments – Real estate with a vision to integrate BTC in payments and ownership. Still early. Still real.

• Blue Planet Ventures – Equities trading with daily proof-of-work and sats-based performance tracking.

• A garden – Yes, literal food. Soil and seed. Hypdropnics. Bitcoin taught me patience; gardening reinforces it.

I’m not building a brand. I’m building a life. And I’m doing it in public — not to be seen, but to help others see. That it’s possible to step off the hype rails and still thrive.

Bitcoin: The Turning Point

It wasn’t until last fall that Bitcoin truly became central for me.\ Not just part of a portfolio — the lens through which I see capital, time, and truth.

I don’t see it as speculative anymore. I see it as inevitable. In 20–30 years, I believe Bitcoin will be the de facto reserve currency — even if not in name. Those who hold it will steward wealth not because they played the game, but because they opted out of it early.

I’m stacking not to escape — but to prepare. Not to prove I'm right — but to live rightly.

Legacy Without a Platform

I don’t have children.\ But I do have nieces. Nephews. Brothers. Sisters. Cousins. In-Laws.

And I know they’re watching — even if they don’t say it.\ I want to show them that you can live with truth, walk by faith, work with your hands — and still thrive.

I’m not stacking for applause. I’m stacking for legacy.\ I’m building not just for the next quarter — but for the next generation.

And if someone, years from now, asks why I chose this path, I want to say:

Because it was real.\ Because it was proof.\ Because it was built to last.

---

⚡ If this series has encouraged or challenged you, zap a few sats/bitcoin. It keeps me building.

✍️ Catch up on the full series here:\ \ Part 1: The Drift -> https://primal.net/andrewgstanton/why-i-left-web3-for-proof-of-work-%E2%80%93-part-1%3A-the-drift\ Part 2: The Breaking Point -> https://primal.net/andrewgstanton/why-i-left-web3-for-proof-of-work---part-2%3A-the-breaking-point\ Part 3: The Return -> https://primal.net/andrewgstanton/why-i-left-web3-for-proof-of-work-%E2%80%93-part-3%3A-the-return\ Part 4: Proof Of Work as Philosophy -> https://primal.net/andrewgstanton/why-i-left-web3-for-proof-of-work-%E2%80%93-part-4%3A-proof-of-work-as-philosophy\ Part 5: Building Again (what you are reading now...)

Written with help from ChatGPT (GPT-4), edited and posted by me.

@ d360efec:14907b5f

@ 609f186c:0aa4e8af

Google says that Android 16 is slated to feature an optional high security mode. Cool.

Advanced Protection has a bunch of requested features that address the kinds of threats we worry about.

It's the kind of 'turn this one thing on if you face elevated risk' that we've been asking for from Google.

And likely reflects some learning after Google watched Apple 's Lockdown Mode play out. I see a lot of value in this..

Here are some features I'm excited to see play out:

The Intrusion Logging feature is interesting & is going to impose substantial cost on attackers trying to hide evidence of exploitation. Logs get e2ee encrypted into the cloud. This one is spicy.

The Offline Lock, Inactivity Reboot & USB protection will frustrate non-consensual attempts to physically grab device data.

Memory Tagging Extension is going to make a lot of attack & exploitation categories harder.

2G Network Protection & disabling Auto-connect to insecure networks are going to address categories of threat from things like IMSI catchers & hostile WiFi.

I'm curious about some other features such as:

Spam & Scam detection: Google messages feature that suggests message content awareness and some kind of scanning.

Scam detection for Phone by Google is interesting & coming later. The way it is described suggests phone conversation awareness. This also addresses a different category of threat than the stuff above. I can see it addressing a whole category of bad things that regular users (& high risk ones too!) face. Will be curious how privacy is addressed or if this done purely locally. Getting messy: Friction points? I see Google thinking these through, but I'm going to add a potential concern: what will users do when they encounter friction? Will they turn this off & forget to re-enable? We've seen users turn off iOS Lockdown Mode when they run into friction for specific websites or, say, legacy WiFi. They then forget to turn it back on. And stay vulnerable.

Bottom line: users disabling Apple's Lockdown Mode for a temporary thing & leaving it off because they forget to turn it on happens a lot. This is a serious % of users in my experience...

And should be factored into design decisions for similar modes. I feel like a good balance is a 'snooze button' or equivalent so that users can disable all/some features for a brief few minute period to do something they need to do, and then auto re-enable.

Winding up:

I'm excited to see how Android Advanced Protection plays with high risk users' experiences. I'm also super curious whether the spam/scam detection features may also be helpful to more vulnerable users (think: aging seniors)...

Niche but important:

Some users, esp. those that migrated to security & privacy-focused Android distros because of because of the absence of such a feature are clear candidates for it... But they may also voice privacy concerns around some of the screening features. Clear communication from the Google Security / Android team will be key here.

@ 21335073:a244b1ad

Someone asked for my thoughts, so I’ll share them thoughtfully. I’m not here to dictate how to promote Nostr—I’m still learning about it myself. While I’m not new to Nostr, freedom tech is a newer space for me. I’m skilled at advocating for topics I deeply understand, but freedom tech isn’t my expertise, so take my words with a grain of salt. Nothing I say is set in stone.

Those who need Nostr the most are the ones most vulnerable to censorship on other platforms right now. Reaching them requires real-time awareness of global issues and the dynamic relationships between governments and tech providers, which can shift suddenly. Effective Nostr promoters must grasp this and adapt quickly.

The best messengers are people from or closely tied to these at-risk regions—those who truly understand the local political and cultural dynamics. They can connect with those in need when tensions rise. Ideal promoters are rational, trustworthy, passionate about Nostr, but above all, dedicated to amplifying people’s voices when it matters most.

Forget influencers, corporate-backed figures, or traditional online PR—it comes off as inauthentic, corny, desperate and forced. Nostr’s promotion should be grassroots and organic, driven by a few passionate individuals who believe in Nostr and the communities they serve.

The idea that “people won’t join Nostr due to lack of reach” is nonsense. Everyone knows X’s “reach” is mostly with bots. If humans want real conversations, Nostr is the place. X is great for propaganda, but Nostr is for the authentic voices of the people.

Those spreading Nostr must be so passionate they’re willing to onboard others, which is time-consuming but rewarding for the right person. They’ll need to make Nostr and onboarding a core part of who they are. I see no issue with that level of dedication. I’ve been known to get that way myself at times. It’s fun for some folks.

With love, I suggest not adding Bitcoin promotion with Nostr outreach. Zaps already integrate that element naturally. (Still promote within the Bitcoin ecosystem, but this is about reaching vulnerable voices who needed Nostr yesterday.)

To promote Nostr, forget conventional strategies. “Influencers” aren’t the answer. “Influencers” are not the future. A trusted local community member has real influence—reach them. Connect with people seeking Nostr’s benefits but lacking the technical language to express it. This means some in the Nostr community might need to step outside of the Bitcoin bubble, which is uncomfortable but necessary. Thank you in advance to those who are willing to do that.

I don’t know who is paid to promote Nostr, if anyone. This piece isn’t shade. But it’s exhausting to see innocent voices globally silenced on corporate platforms like X while Nostr exists. Last night, I wondered: how many more voices must be censored before the Nostr community gets uncomfortable and thinks creatively to reach the vulnerable?

A warning: the global need for censorship-resistant social media is undeniable. If Nostr doesn’t make itself known, something else will fill that void. Let’s start this conversation.

@ a39d19ec:3d88f61e

Die Debatte um Migration, Grenzsicherung und Abschiebungen wird in Deutschland meist emotional geführt. Wer fordert, dass illegale Einwanderer abgeschoben werden, sieht sich nicht selten dem Vorwurf des Rassismus ausgesetzt. Doch dieser Vorwurf ist nicht nur sachlich unbegründet, sondern verkehrt die Realität ins Gegenteil: Tatsächlich sind es gerade diejenigen, die hinter jeder Forderung nach Rechtssicherheit eine rassistische Motivation vermuten, die selbst in erster Linie nach Hautfarbe, Herkunft oder Nationalität urteilen.

Das Recht steht über Emotionen

Deutschland ist ein Rechtsstaat. Das bedeutet, dass Regeln nicht nach Bauchgefühl oder politischer Stimmungslage ausgelegt werden können, sondern auf klaren gesetzlichen Grundlagen beruhen müssen. Einer dieser Grundsätze ist in Artikel 16a des Grundgesetzes verankert. Dort heißt es:

„Auf Absatz 1 [Asylrecht] kann sich nicht berufen, wer aus einem Mitgliedstaat der Europäischen Gemeinschaften oder aus einem anderen Drittstaat einreist, in dem die Anwendung des Abkommens über die Rechtsstellung der Flüchtlinge und der Europäischen Menschenrechtskonvention sichergestellt ist.“

Das bedeutet, dass jeder, der über sichere Drittstaaten nach Deutschland einreist, keinen Anspruch auf Asyl hat. Wer dennoch bleibt, hält sich illegal im Land auf und unterliegt den geltenden Regelungen zur Rückführung. Die Forderung nach Abschiebungen ist daher nichts anderes als die Forderung nach der Einhaltung von Recht und Gesetz.

Die Umkehrung des Rassismusbegriffs

Wer einerseits behauptet, dass das deutsche Asyl- und Aufenthaltsrecht strikt durchgesetzt werden soll, und andererseits nicht nach Herkunft oder Hautfarbe unterscheidet, handelt wertneutral. Diejenigen jedoch, die in einer solchen Forderung nach Rechtsstaatlichkeit einen rassistischen Unterton sehen, projizieren ihre eigenen Denkmuster auf andere: Sie unterstellen, dass die Debatte ausschließlich entlang ethnischer, rassistischer oder nationaler Kriterien geführt wird – und genau das ist eine rassistische Denkweise.

Jemand, der illegale Einwanderung kritisiert, tut dies nicht, weil ihn die Herkunft der Menschen interessiert, sondern weil er den Rechtsstaat respektiert. Hingegen erkennt jemand, der hinter dieser Kritik Rassismus wittert, offenbar in erster Linie die „Rasse“ oder Herkunft der betreffenden Personen und reduziert sie darauf.

Finanzielle Belastung statt ideologischer Debatte

Neben der rechtlichen gibt es auch eine ökonomische Komponente. Der deutsche Wohlfahrtsstaat basiert auf einem Solidarprinzip: Die Bürger zahlen in das System ein, um sich gegenseitig in schwierigen Zeiten zu unterstützen. Dieser Wohlstand wurde über Generationen hinweg von denjenigen erarbeitet, die hier seit langem leben. Die Priorität liegt daher darauf, die vorhandenen Mittel zuerst unter denjenigen zu verteilen, die durch Steuern, Sozialabgaben und Arbeit zum Erhalt dieses Systems beitragen – nicht unter denen, die sich durch illegale Einreise und fehlende wirtschaftliche Eigenleistung in das System begeben.

Das ist keine ideologische Frage, sondern eine rein wirtschaftliche Abwägung. Ein Sozialsystem kann nur dann nachhaltig funktionieren, wenn es nicht unbegrenzt belastet wird. Würde Deutschland keine klaren Regeln zur Einwanderung und Abschiebung haben, würde dies unweigerlich zur Überlastung des Sozialstaates führen – mit negativen Konsequenzen für alle.

Sozialpatriotismus

Ein weiterer wichtiger Aspekt ist der Schutz der Arbeitsleistung jener Generationen, die Deutschland nach dem Zweiten Weltkrieg mühsam wieder aufgebaut haben. Während oft betont wird, dass die Deutschen moralisch kein Erbe aus der Zeit vor 1945 beanspruchen dürfen – außer der Verantwortung für den Holocaust –, ist es umso bedeutsamer, das neue Erbe nach 1945 zu respektieren, das auf Fleiß, Disziplin und harter Arbeit beruht. Der Wiederaufbau war eine kollektive Leistung deutscher Menschen, deren Früchte nicht bedenkenlos verteilt werden dürfen, sondern vorrangig denjenigen zugutekommen sollten, die dieses Fundament mitgeschaffen oder es über Generationen mitgetragen haben.

Rechtstaatlichkeit ist nicht verhandelbar

Wer sich für eine konsequente Abschiebepraxis ausspricht, tut dies nicht aus rassistischen Motiven, sondern aus Respekt vor der Rechtsstaatlichkeit und den wirtschaftlichen Grundlagen des Landes. Der Vorwurf des Rassismus in diesem Kontext ist daher nicht nur falsch, sondern entlarvt eine selektive Wahrnehmung nach rassistischen Merkmalen bei denjenigen, die ihn erheben.

@ d360efec:14907b5f

Disclaimer: * การวิเคราะห์นี้เป็นเพียงแนวทาง ไม่ใช่คำแนะนำในการซื้อขาย * การลงทุนมีความเสี่ยง ผู้ลงทุนควรตัดสินใจด้วยตนเอง

@ a39d19ec:3d88f61e

Nun da das deutsche Bundesregime den Ruin Deutschlands beschlossen hat, der sehr wahrscheinlich mit dem Werkzeug des Geld druckens "finanziert" wird, kamen mir so viele Gedanken zur Geldmengenausweitung, dass ich diese für einmal niedergeschrieben habe.

Die Ausweitung der Geldmenge führt aus klassischer wirtschaftlicher Sicht immer zu Preissteigerungen, weil mehr Geld im Umlauf auf eine begrenzte Menge an Gütern trifft. Dies lässt sich in mehreren Schritten analysieren:

1. Quantitätstheorie des Geldes

Die klassische Gleichung der Quantitätstheorie des Geldes lautet:

M • V = P • Y

wobei:
- M die Geldmenge ist,
- V die Umlaufgeschwindigkeit des Geldes,
- P das Preisniveau,
- Y die reale Wirtschaftsleistung (BIP).

Wenn M steigt und V sowie Y konstant bleiben, muss P steigen – also Inflation entstehen.

2. Gütermenge bleibt begrenzt

Die Menge an real produzierten Gütern und Dienstleistungen wächst meist nur langsam im Vergleich zur Ausweitung der Geldmenge. Wenn die Geldmenge schneller steigt als die Produktionsgütermenge, führt dies dazu, dass mehr Geld für die gleiche Menge an Waren zur Verfügung steht – die Preise steigen.

3. Erwartungseffekte und Spekulation

Wenn Unternehmen und Haushalte erwarten, dass mehr Geld im Umlauf ist, da eine zentrale Planung es so wollte, können sie steigende Preise antizipieren. Unternehmen erhöhen ihre Preise vorab, und Arbeitnehmer fordern höhere Löhne. Dies kann eine sich selbst verstärkende Spirale auslösen.

4. Internationale Perspektive

Eine erhöhte Geldmenge kann die Währung abwerten, wenn andere Länder ihre Geldpolitik stabil halten. Eine schwächere Währung macht Importe teurer, was wiederum Preissteigerungen antreibt.

5. Kritik an der reinen Geldmengen-Theorie

Der Vollständigkeit halber muss erwähnt werden, dass die meisten modernen Ökonomen im Staatsauftrag argumentieren, dass Inflation nicht nur von der Geldmenge abhängt, sondern auch von der Nachfrage nach Geld (z. B. in einer Wirtschaftskrise). Dennoch zeigt die historische Erfahrung, dass eine unkontrollierte Geldmengenausweitung langfristig immer zu Preissteigerungen führt, wie etwa in der Hyperinflation der Weimarer Republik oder in Simbabwe.

@ 3bf0c63f:aefa459d

Report of how the money Jack donated to the cause in December 2022 has been misused so far.

Bounties given

March 2025

• Dhalsim: 1,110,540 - Work on Nostr wiki data processing

February 2025

• BOUNTY* NullKotlinDev: 950,480 - Twine RSS reader Nostr integration
• Dhalsim: 2,094,584 - Work on Hypothes.is Nostr fork
• Constant, Biz and J: 11,700,588 - Nostr Special Forces

January 2025

• Constant, Biz and J: 11,610,987 - Nostr Special Forces
• BOUNTY* NullKotlinDev: 843,840 - Feeder RSS reader Nostr integration
• BOUNTY* NullKotlinDev: 797,500 - ReadYou RSS reader Nostr integration

December 2024

• BOUNTY* tijl: 1,679,500 - Nostr integration into RSS readers yarr and miniflux
• Constant, Biz and J: 10,736,166 - Nostr Special Forces
• Thereza: 1,020,000 - Podcast outreach initiative

November 2024

• Constant, Biz and J: 5,422,464 - Nostr Special Forces

October 2024

• Nostrdam: 300,000 - hackathon prize
• Svetski: 5,000,000 - Latin America Nostr events contribution
• Quentin: 5,000,000 - nostrcheck.me

June 2024

• Darashi: 5,000,000 - maintaining nos.today, searchnos, search.nos.today and other experiments
• Toshiya: 5,000,000 - keeping the NIPs repo clean and other stuff

May 2024

• James: 3,500,000 - https://github.com/jamesmagoo/nostr-writer
• Yakihonne: 5,000,000 - spreading the word in Asia
• Dashu: 9,000,000 - https://github.com/haorendashu/nostrmo

February 2024

• Viktor: 5,000,000 - https://github.com/viktorvsk/saltivka and https://github.com/viktorvsk/knowstr
• Eric T: 5,000,000 - https://github.com/tcheeric/nostr-java
• Semisol: 5,000,000 - https://relay.noswhere.com/ and https://hist.nostr.land relays
• Sebastian: 5,000,000 - Drupal stuff and nostr-php work
• tijl: 5,000,000 - Cloudron, Yunohost and Fraidycat attempts
• Null Kotlin Dev: 5,000,000 - AntennaPod attempt

December 2023

• hzrd: 5,000,000 - Nostrudel
• awayuki: 5,000,000 - NOSTOPUS illustrations
• bera: 5,000,000 - getwired.app
• Chris: 5,000,000 - resolvr.io
• NoGood: 10,000,000 - nostrexplained.com stories

October 2023

• SnowCait: 5,000,000 - https://nostter.vercel.app/ and other tools
• Shaun: 10,000,000 - https://yakihonne.com/, events and work on Nostr awareness
• Derek Ross: 10,000,000 - spreading the word around the world
• fmar: 5,000,000 - https://github.com/frnandu/yana
• The Nostr Report: 2,500,000 - curating stuff
• james magoo: 2,500,000 - the Obsidian plugin: https://github.com/jamesmagoo/nostr-writer

August 2023

• Paul Miller: 5,000,000 - JS libraries and cryptography-related work
• BOUNTY tijl: 5,000,000 - https://github.com/github-tijlxyz/wikinostr
• gzuus: 5,000,000 - https://nostree.me/

July 2023

• syusui-s: 5,000,000 - rabbit, a tweetdeck-like Nostr client: https://syusui-s.github.io/rabbit/
• kojira: 5,000,000 - Nostr fanzine, Nostr discussion groups in Japan, hardware experiments
• darashi: 5,000,000 - https://github.com/darashi/nos.today, https://github.com/darashi/searchnos, https://github.com/darashi/murasaki
• jeff g: 5,000,000 - https://nostr.how and https://listr.lol, plus other contributions
• cloud fodder: 5,000,000 - https://nostr1.com (open-source)
• utxo.one: 5,000,000 - https://relaying.io (open-source)
• Max DeMarco: 10,269,507 - https://www.youtube.com/watch?v=aA-jiiepOrE
• BOUNTY optout21: 1,000,000 - https://github.com/optout21/nip41-proto0 (proposed nip41 CLI)
• BOUNTY Leo: 1,000,000 - https://github.com/leo-lox/camelus (an old relay thing I forgot exactly)

June 2023

• BOUNTY: Sepher: 2,000,000 - a webapp for making lists of anything: https://pinstr.app/
• BOUNTY: Kieran: 10,000,000 - implement gossip algorithm on Snort, implement all the other nice things: manual relay selection, following hints etc.
• Mattn: 5,000,000 - a myriad of projects and contributions to Nostr projects: https://github.com/search?q=owner%3Amattn+nostr&type=code
• BOUNTY: lynn: 2,000,000 - a simple and clean git nostr CLI written in Go, compatible with William's original git-nostr-tools; and implement threaded comments on https://github.com/fiatjaf/nocomment.
• Jack Chakany: 5,000,000 - https://github.com/jacany/nblog
• BOUNTY: Dan: 2,000,000 - https://metadata.nostr.com/

April 2023

• BOUNTY: Blake Jakopovic: 590,000 - event deleter tool, NIP dependency organization
• BOUNTY: koalasat: 1,000,000 - display relays
• BOUNTY: Mike Dilger: 4,000,000 - display relays, follow event hints (Gossip)
• BOUNTY: kaiwolfram: 5,000,000 - display relays, follow event hints, choose relays to publish (Nozzle)
• Daniele Tonon: 3,000,000 - Gossip
• bu5hm4nn: 3,000,000 - Gossip
• BOUNTY: hodlbod: 4,000,000 - display relays, follow event hints

March 2023

• Doug Hoyte: 5,000,000 sats - https://github.com/hoytech/strfry
• Alex Gleason: 5,000,000 sats - https://gitlab.com/soapbox-pub/mostr
• verbiricha: 5,000,000 sats - https://badges.page/, https://habla.news/
• talvasconcelos: 5,000,000 sats - https://migrate.nostr.com, https://read.nostr.com, https://write.nostr.com/
• BOUNTY: Gossip model: 5,000,000 - https://camelus.app/
• BOUNTY: Gossip model: 5,000,000 - https://github.com/kaiwolfram/Nozzle
• BOUNTY: Bounty Manager: 5,000,000 - https://nostrbounties.com/

February 2023

• styppo: 5,000,000 sats - https://hamstr.to/
• sandwich: 5,000,000 sats - https://nostr.watch/
• BOUNTY: Relay-centric client designs: 5,000,000 sats https://bountsr.org/design/2023/01/26/relay-based-design.html
• BOUNTY: Gossip model on https://coracle.social/: 5,000,000 sats
• Nostrovia Podcast: 3,000,000 sats - https://nostrovia.org/
• BOUNTY: Nostr-Desk / Monstr: 5,000,000 sats - https://github.com/alemmens/monstr
• Mike Dilger: 5,000,000 sats - https://github.com/mikedilger/gossip

January 2023

• ismyhc: 5,000,000 sats - https://github.com/Galaxoid-Labs/Seer
• Martti Malmi: 5,000,000 sats - https://iris.to/
• Carlos Autonomous: 5,000,000 sats - https://github.com/BrightonBTC/bija
• Koala Sat: 5,000,000 - https://github.com/KoalaSat/nostros
• Vitor Pamplona: 5,000,000 - https://github.com/vitorpamplona/amethyst
• Cameri: 5,000,000 - https://github.com/Cameri/nostream

December 2022

• William Casarin: 7 BTC - splitting the fund
• pseudozach: 5,000,000 sats - https://nostr.directory/
• Sondre Bjellas: 5,000,000 sats - https://notes.blockcore.net/
• Null Dev: 5,000,000 sats - https://github.com/KotlinGeekDev/Nosky
• Blake Jakopovic: 5,000,000 sats - https://github.com/blakejakopovic/nostcat, https://github.com/blakejakopovic/nostreq and https://github.com/blakejakopovic/NostrEventPlayground

@ 4c96d763:80c3ee30

Changes

William Casarin (19):

• dave: add screenshot to readme
• dave: fix image in readme
• columns: remove spamming info logs about writing to cache
• columns: never truncate notes you're replying to
• windows: don't show terminal window
• mention: show username instead of display_name
• chrome: switch from ALPHA to BETA
• ui: make post replies selectable
• dave: include anonymous user identifier in api call
• dave: add trial mode
• dave: fix sidebar click
• dave: nudge avatar when you click
• dave: hide media in dave note previews
• chrome: fix theme persistence
• ui: fix a bunch of missing hover pointers
• Release Notedeck Beta v0.4.0
• release: changelog
• timeline: show media on universe timeline
• clippy: fix lint related to iterator

kernelkind (28):

• add trust_media_from_pk2 method
• add hashbrown
• introduce & use JobPool
• introduce JobsCache
• add blurhash dependency
• introduce blur
• note: remove unnecessary derive macros from NoteAction
• propagate JobsCache
• ImagePulseTint -> PulseAlpha
• images: move fetch to fn
• add TexturesCache
• images: make MediaCache hold MediaCacheType
• images: make promise payload optional to take easily
• post: unnest
• notedeck_ui: move carousel to note/media.rs
• note media: only show full screen when loaded
• note media: unnest full screen media
• pass NoteAction by value instead of reference
• propagate Images to actionbar
• add one shot error message
• make Widget impl ProfilePic mutably
• implement blurring
• don't show zap button if no wallet
• display name should wrap
• make styled button toggleable
• method to get current default zap amount
• add CustomZapView
• use CustomZapView

pushed to notedeck:refs/heads/master

@ 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.

@ 1817b617:715fb372

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---

What Is Flash USDT?

Flash USDT is a synthetic transaction that mimics a real Tether transfer. It shows up instantly in a wallet balance, and it’s confirmed on-chain — and expires after a set duration.

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• Visible on wallet interfaces
• Time-limited (auto-disappears cleanly)
• Undetectable on block explorers after expiry

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This is your all-in-one USDT flasher tool, built for TRC20, ERC20, and BEP20 chains. It gives you full control to:

• Send custom USDT amounts
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Feature	Flash USDT	Flash USDT Software
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• Educational purposes
• Demo environments
• Wallet and UI testing

They are not for illegal use or financial deception. Any misuse is your full responsibility.

---

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@ b83a28b7:35919450

This article was originally part of the sermon of Plebchain Radio Episode 111 (May 2, 2025) that nostr:nprofile1qyxhwumn8ghj7mn0wvhxcmmvqyg8wumn8ghj7mn0wd68ytnvv9hxgqpqtvqc82mv8cezhax5r34n4muc2c4pgjz8kaye2smj032nngg52clq7fgefr and I did with nostr:nprofile1qythwumn8ghj7ct5d3shxtnwdaehgu3wd3skuep0qyt8wumn8ghj7ct4w35zumn0wd68yvfwvdhk6tcqyzx4h2fv3n9r6hrnjtcrjw43t0g0cmmrgvjmg525rc8hexkxc0kd2rhtk62 and nostr:nprofile1qyxhwumn8ghj7mn0wvhxcmmvqyg8wumn8ghj7mn0wd68ytnvv9hxgqpq4wxtsrj7g2jugh70pfkzjln43vgn4p7655pgky9j9w9d75u465pqahkzd0 of the nostr:nprofile1qythwumn8ghj7ct5d3shxtnwdaehgu3wd3skuep0qyt8wumn8ghj7etyv4hzumn0wd68ytnvv9hxgtcqyqwfvwrccp4j2xsuuvkwg0y6a20637t6f4cc5zzjkx030dkztt7t5hydajn

Listen to the full episode here:

<<https://fountain.fm/episode/Ln9Ej0zCZ5dEwfo8w2Ho>>

---

Bitcoin has always been a narrative revolution disguised as code. White paper, cypherpunk lore, pizza‑day legends - every block is a paragraph in the world’s most relentless epic. But code alone rarely converts the skeptic; it’s the camp‑fire myth that slips past the prefrontal cortex and shakes hands with the limbic system. People don’t adopt protocols first - they fall in love with protagonists.

Early adopters heard the white‑paper hymn, but most folks need characters first: a pizza‑day dreamer; a mother in a small country, crushed by the cost of remittance; a Warsaw street vendor swapping złoty for sats. When their arcs land, the brain releases a neurochemical OP_RETURN which says, “I belong in this plot.” That’s the sly roundabout orange pill: conviction smuggled inside catharsis.

That’s why, from 22–25 May in Warsaw’s Kinoteka, the Bitcoin Film Fest is loading its reels with rebellion. Each documentary, drama, and animated rabbit‑hole is a stealth wallet, zipping conviction straight into the feels of anyone still clasped within the cold claw of fiat. You come for the plot, you leave checking block heights.

---

Here's the clip of the sermon from the episode:

nostr:nevent1qvzqqqqqqypzpwp69zm7fewjp0vkp306adnzt7249ytxhz7mq3w5yc629u6er9zsqqsy43fwz8es2wnn65rh0udc05tumdnx5xagvzd88ptncspmesdqhygcrvpf2

@ 37fe9853:bcd1b039

yoyoaa

@ c631e267:c2b78d3e

Die zwei mächtigsten Krieger sind Geduld und Zeit. \ Leo Tolstoi

Zum Wohle unserer Gesundheit, unserer Leistungsfähigkeit und letztlich unseres Glücks ist es wichtig, die eigene Energie bewusst zu pflegen. Das gilt umso mehr für an gesellschaftlichen Themen interessierte, selbstbewusste und kritisch denkende Menschen. Denn für deren Wahrnehmung und Wohlbefinden waren und sind die rasanten, krisen- und propagandagefüllten letzten Jahre in Absurdistan eine harte Probe.

Nur wer regelmäßig Kraft tankt und Wege findet, mit den Herausforderungen umzugehen, kann eine solche Tortur überstehen, emotionale Erschöpfung vermeiden und trotz allem zufrieden sein. Dazu müssen wir erkunden, was uns Energie gibt und was sie uns raubt. Durch Selbstreflexion und Achtsamkeit finden wir sicher Dinge, die uns erfreuen und inspirieren, und andere, die uns eher stressen und belasten.

Die eigene Energie ist eng mit unserer körperlichen und mentalen Gesundheit verbunden. Methoden zur Förderung der körperlichen Gesundheit sind gut bekannt: eine ausgewogene Ernährung, regelmäßige Bewegung sowie ausreichend Schlaf und Erholung. Bei der nicht minder wichtigen emotionalen Balance wird es schon etwas komplizierter. Stress abzubauen, die eigenen Grenzen zu kennen oder solche zum Schutz zu setzen sowie die Konzentration auf Positives und Sinnvolles wären Ansätze.

Der emotionale ist auch der Bereich, über den «Energie-Räuber» bevorzugt attackieren. Das sind zum Beispiel Dinge wie Überforderung, Perfektionismus oder mangelhafte Kommunikation. Social Media gehören ganz sicher auch dazu. Sie stehlen uns nicht nur Zeit, sondern sind höchst manipulativ und erhöhen laut einer aktuellen Studie das Risiko für psychische Probleme wie Angstzustände und Depressionen.

Geben wir negativen oder gar bösen Menschen keine Macht über uns. Das Dauerfeuer der letzten Jahre mit Krisen, Konflikten und Gefahren sollte man zwar kennen, darf sich aber davon nicht runterziehen lassen. Das Ziel derartiger konzertierter Aktionen ist vor allem, unsere innere Stabilität zu zerstören, denn dann sind wir leichter zu steuern. Aber Geduld: Selbst vermeintliche «Sonnenköniginnen» wie EU-Kommissionspräsidentin von der Leyen fallen, wenn die Zeit reif ist.

Es ist wichtig, dass wir unsere ganz eigenen Bedürfnisse und Werte erkennen. Unsere Energiequellen müssen wir identifizieren und aktiv nutzen. Dazu gehören soziale Kontakte genauso wie zum Beispiel Hobbys und Leidenschaften. Umgeben wir uns mit Sinnhaftigkeit und lassen wir uns nicht die Energie rauben!

Mein Wahlspruch ist schon lange: «Was die Menschen wirklich bewegt, ist die Kultur.» Jetzt im Frühjahr beginnt hier in Andalusien die Zeit der «Ferias», jener traditionellen Volksfeste, die vor Lebensfreude sprudeln. Konzentrieren wir uns auf die schönen Dinge und auf unsere eigenen Talente – soziale Verbundenheit wird helfen, unsere innere Kraft zu stärken und zu bewahren.

[Titelbild: Pixabay]

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Dieser Beitrag wurde mit dem Pareto-Client geschrieben und ist zuerst auf Transition News erschienen.

@ d41bf82f:ed90d888

“ประเด็นแท้จริงคือเรื่องของการควบคุม—อินเทอร์เน็ตแพร่ขยายกว้างไกลเกินกว่าที่รัฐบาลใดจะครอบงำได้โดยง่าย ด้วยการสร้างเขตเศรษฐกิจระดับโลกที่ไร้รอยต่อ ไม่ขึ้นต่ออธิปไตย และอยู่นอกเหนือการควบคุม อินเทอร์เน็ตจึงตั้งคำถามต่อแนวคิดของรัฐชาติในตัวมันเอง” — JOHN PERRY BARLOW

บทนี้เริ่มต้นด้วยการวิพากษ์แนวคิด ทางด่วนข้อมูล ว่าเป็นคำอุปมาอุปมัยที่ยังยึดติดกับโลกยุคอุตสาหกรรม เพราะเศรษฐกิจยุคสารสนเทศไม่ใช่แค่โครงสร้างพื้นฐานสำหรับขนส่งข้อมูล แต่คือ จุดหมายปลายทาง ใหม่ในตัวเอง นั่นคือ ไซเบอร์สเปซ —ดินแดนที่ก้าวข้ามขอบเขตทางภูมิศาสตร์โดยสิ้นเชิง

ไซเบอร์สเปซคือพื้นที่ใหม่ของปฏิสัมพันธ์ทางสังคม เศรษฐกิจ และการเมือง ซึ่งไม่สามารถควบคุมโดยรัฐชาติแบบเดิมได้อีกต่อไป ผู้เขียนยกคำของ John Perry Barlow ที่เปรียบไซเบอร์สเปซเป็น “ดินแดนแห่งเสรีภาพ” ที่ไม่ยึดโยงกับสถานที่จริง และเปิดโอกาสให้ทุกคนแสดงความคิดเห็นได้อย่างไร้การควบคุม

การเปลี่ยนผ่านนี้ส่งผลกระทบรุนแรงต่อโครงสร้างของเศรษฐกิจแบบเดิม การเข้าถึงข้อมูลอย่างรวดเร็วแบบไร้ขอบเขตเปรียบเสมือนตัวทำละลายที่กัดกร่อนต้นทุนของสถาบันขนาดใหญ่ ทั้งภาครัฐและเอกชน ไมโครโพรเซสซิงจะเปลี่ยนรูปแบบขององค์กรและแนวคิดเรื่องสถานที่ในทางเศรษฐกิจอย่างสิ้นเชิง

ตลอดประวัติศาสตร์ เศรษฐกิจผูกติดกับพื้นที่ทางภูมิศาสตร์ การเดินทางเป็นเรื่องยากและจำกัด การค้าขายส่วนใหญ่เกิดในระดับท้องถิ่น ภาษา วัฒนธรรม และภูมิประเทศเป็นอุปสรรคทางการเมืองเสมอ จนถึงกับที่ผู้เขียนกล่าวว่า การเมืองทั้งหมดเป็นเรื่องท้องถิ่น

แต่เทคโนโลยีสมัยใหม่กำลังเปลี่ยนสมการนี้ การสื่อสารและขนส่งที่รวดเร็วทำให้ผู้มีความสามารถสามารถเลือกสถานที่อยู่อาศัยหรือทำงานได้อย่างเสรี ลดอำนาจต่อรองของรัฐบาลในพื้นที่นั้นลง เพราะคนสามารถ “หนี” ได้ง่ายขึ้น หากรัฐบาลกดขี่หรือรีดไถ

แม้อินเทอร์เน็ตยุคแรกจะดูธรรมดา เช่น ใช้อ่านบทความหรือสั่งซื้อสินค้า แต่ศักยภาพที่แท้จริงของเศรษฐกิจไซเบอร์นั้นยิ่งใหญ่มาก ผู้เขียนเสนอว่ามันจะพัฒนาเป็นสามขั้น: 1. ขั้นพื้นฐาน: อินเทอร์เน็ตเป็นเพียงช่องทางเพิ่มประสิทธิภาพธุรกิจแบบเดิม (เช่น เว็บขายสินค้าขายของออนไลน์ เช่น อเมซอน) 2. ขั้นพัฒนา: การเกิดขึ้นของเงินดิจิทัลที่เข้ารหัสและไม่สามารถติดตามได้ จะปลดปล่อยธุรกรรมจากการควบคุมและการจัดเก็บภาษีของรัฐ 3. ขั้นก้าวหน้า: ไซเบอร์สเปซจะมีระบบเศรษฐกิจ กฎหมาย และกลไกคุ้มครองของตัวเอง ปราศจากการควบคุมจากรัฐบาลใด ๆ

ในโลกใหม่นี้ Sovereign Individual หรือ “ปัจเจกผู้มีอธิปไตย” จะสามารถสร้างความมั่งคั่งและดำเนินกิจกรรมในไซเบอร์สเปซได้อย่างเป็นอิสระ โดยไม่ต้องอิงรัฐชาติ รัฐจึงจะถูกบีบให้ลดขนาดและเปลี่ยนบทบาทจากผู้ใช้อำนาจกลายเป็นผู้ให้บริการที่ต้องแข่งขันเพื่อความพึงพอใจของพลเมือง

สามารถไปติดตามเนื้อหาแบบ short vdo ที่สรุปประเด็นสำคัญจากแต่ละบท พร้อมกราฟิกและคำอธิบายกระชับ เข้าใจง่าย ได้ที่ TikTok ช่อง https://www.tiktok.com/@moneyment1971

@ 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。

@ 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.

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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.

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No final, teremos:

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

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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.)

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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.

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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.

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@ 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.

Using stolen bitcoin for the reserve creates a perverse incentive. If governments see 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.

@ 04c915da:3dfbecc9

Recently we have seen a wave of high profile X accounts hacked. These attacks have exposed the fragility of the status quo security model used by modern social media platforms like X. Many users have asked if nostr fixes this, so lets dive in. How do these types of attacks translate into the world of nostr apps? For clarity, I will use X’s security model as representative of most big tech social platforms and compare it to nostr.

The Status Quo

On X, you never have full control of your account. Ultimately to use it requires permission from the company. They can suspend your account or limit your distribution. Theoretically they can even post from your account at will. An X account is tied to an email and password. Users can also opt into two factor authentication, which adds an extra layer of protection, a login code generated by an app. In theory, this setup works well, but it places a heavy burden on users. You need to create a strong, unique password and safeguard it. You also need to ensure your email account and phone number remain secure, as attackers can exploit these to reset your credentials and take over your account. Even if you do everything responsibly, there is another weak link in X infrastructure itself. The platform’s infrastructure allows accounts to be reset through its backend. This could happen maliciously by an employee or through an external attacker who compromises X’s backend. When an account is compromised, the legitimate user often gets locked out, unable to post or regain control without contacting X’s support team. That process can be slow, frustrating, and sometimes fruitless if support denies the request or cannot verify your identity. Often times support will require users to provide identification info in order to regain access, which represents a privacy risk. The centralized nature of X means you are ultimately at the mercy of the company’s systems and staff.

Nostr Requires Responsibility

Nostr flips this model radically. Users do not need permission from a company to access their account, they can generate as many accounts as they want, and cannot be easily censored. The key tradeoff here is that users have to take complete responsibility for their security. Instead of relying on a username, password, and corporate servers, nostr uses a private key as the sole credential for your account. Users generate this key and it is their responsibility to keep it safe. As long as you have your key, you can post. If someone else gets it, they can post too. It is that simple. This design has strong implications. Unlike X, there is no backend reset option. If your key is compromised or lost, there is no customer support to call. In a compromise scenario, both you and the attacker can post from the account simultaneously. Neither can lock the other out, since nostr relays simply accept whatever is signed with a valid key.

The benefit? No reliance on proprietary corporate infrastructure.. The negative? Security rests entirely on how well you protect your key.

Future Nostr Security Improvements

For many users, nostr’s standard security model, storing a private key on a phone with an encrypted cloud backup, will likely be sufficient. It is simple and reasonably secure. That said, nostr’s strength lies in its flexibility as an open protocol. Users will be able to choose between a range of security models, balancing convenience and protection based on need.

One promising option is a web of trust model for key rotation. Imagine pre-selecting a group of trusted friends. If your account is compromised, these people could collectively sign an event announcing the compromise to the network and designate a new key as your legitimate one. Apps could handle this process seamlessly in the background, notifying followers of the switch without much user interaction. This could become a popular choice for average users, but it is not without tradeoffs. It requires trust in your chosen web of trust, which might not suit power users or large organizations. It also has the issue that some apps may not recognize the key rotation properly and followers might get confused about which account is “real.”

For those needing higher security, there is the option of multisig using FROST (Flexible Round-Optimized Schnorr Threshold). In this setup, multiple keys must sign off on every action, including posting and updating a profile. A hacker with just one key could not do anything. This is likely overkill for most users due to complexity and inconvenience, but it could be a game changer for large organizations, companies, and governments. Imagine the White House nostr account requiring signatures from multiple people before a post goes live, that would be much more secure than the status quo big tech model.

Another option are hardware signers, similar to bitcoin hardware wallets. Private keys are kept on secure, offline devices, separate from the internet connected phone or computer you use to broadcast events. This drastically reduces the risk of remote hacks, as private keys never touches the internet. It can be used in combination with multisig setups for extra protection. This setup is much less convenient and probably overkill for most but could be ideal for governments, companies, or other high profile accounts.

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Nostr’s security model is not perfect but is robust and versatile. Ultimately users are in control and security is their responsibility. Apps will give users multiple options to choose from and users will choose what best fits their need.

@ 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.

@ 91bea5cd:1df4451c

Básico

bash lsblk # Lista todos os diretorios montados.

Para criar o sistema de arquivos:

bash mkfs.btrfs -L "ThePool" -f /dev/sdx

Criando um subvolume:

bash btrfs subvolume create SubVol

Montando Sistema de Arquivos:

bash mount -o compress=zlib,subvol=SubVol,autodefrag /dev/sdx /mnt

Lista os discos formatados no diretório:

bash btrfs filesystem show /mnt

Adiciona novo disco ao subvolume:

bash btrfs device add -f /dev/sdy /mnt

Lista novamente os discos do subvolume:

bash btrfs filesystem show /mnt

Exibe uso dos discos do subvolume:

bash btrfs filesystem df /mnt

Balancea os dados entre os discos sobre raid1:

bash btrfs filesystem balance start -dconvert=raid1 -mconvert=raid1 /mnt

Scrub é uma passagem por todos os dados e metadados do sistema de arquivos e verifica as somas de verificação. Se uma cópia válida estiver disponível (perfis de grupo de blocos replicados), a danificada será reparada. Todas as cópias dos perfis replicados são validadas.

iniciar o processo de depuração :

bash btrfs scrub start /mnt

ver o status do processo de depuração Btrfs em execução:

bash btrfs scrub status /mnt

ver o status do scrub Btrfs para cada um dos dispositivos

bash btrfs scrub status -d / data btrfs scrub cancel / data

Para retomar o processo de depuração do Btrfs que você cancelou ou pausou:

btrfs scrub resume / data

Listando os subvolumes:

bash btrfs subvolume list /Reports

Criando um instantâneo dos subvolumes:

Aqui, estamos criando um instantâneo de leitura e gravação chamado snap de marketing do subvolume de marketing.

bash btrfs subvolume snapshot /Reports/marketing /Reports/marketing-snap

Além disso, você pode criar um instantâneo somente leitura usando o sinalizador -r conforme mostrado. O marketing-rosnap é um instantâneo somente leitura do subvolume de marketing

bash btrfs subvolume snapshot -r /Reports/marketing /Reports/marketing-rosnap

Forçar a sincronização do sistema de arquivos usando o utilitário 'sync'

Para forçar a sincronização do sistema de arquivos, invoque a opção de sincronização conforme mostrado. Observe que o sistema de arquivos já deve estar montado para que o processo de sincronização continue com sucesso.

bash btrfs filsystem sync /Reports

Para excluir o dispositivo do sistema de arquivos, use o comando device delete conforme mostrado.

bash btrfs device delete /dev/sdc /Reports

Para sondar o status de um scrub, use o comando scrub status com a opção -dR .

bash btrfs scrub status -dR / Relatórios

Para cancelar a execução do scrub, use o comando scrub cancel .

bash $ sudo btrfs scrub cancel / Reports

Para retomar ou continuar com uma depuração interrompida anteriormente, execute o comando de cancelamento de depuração

bash sudo btrfs scrub resume /Reports

mostra o uso do dispositivo de armazenamento:

btrfs filesystem usage /data

Para distribuir os dados, metadados e dados do sistema em todos os dispositivos de armazenamento do RAID (incluindo o dispositivo de armazenamento recém-adicionado) montados no diretório /data , execute o seguinte comando:

sudo btrfs balance start --full-balance /data

Pode demorar um pouco para espalhar os dados, metadados e dados do sistema em todos os dispositivos de armazenamento do RAID se ele contiver muitos dados.

Opções importantes de montagem Btrfs

Nesta seção, vou explicar algumas das importantes opções de montagem do Btrfs. Então vamos começar.

As opções de montagem Btrfs mais importantes são:

**1. acl e noacl

**ACL gerencia permissões de usuários e grupos para os arquivos/diretórios do sistema de arquivos Btrfs.

A opção de montagem acl Btrfs habilita ACL. Para desabilitar a ACL, você pode usar a opção de montagem noacl .

Por padrão, a ACL está habilitada. Portanto, o sistema de arquivos Btrfs usa a opção de montagem acl por padrão.

**2. autodefrag e noautodefrag

**Desfragmentar um sistema de arquivos Btrfs melhorará o desempenho do sistema de arquivos reduzindo a fragmentação de dados.

A opção de montagem autodefrag permite a desfragmentação automática do sistema de arquivos Btrfs.

A opção de montagem noautodefrag desativa a desfragmentação automática do sistema de arquivos Btrfs.

Por padrão, a desfragmentação automática está desabilitada. Portanto, o sistema de arquivos Btrfs usa a opção de montagem noautodefrag por padrão.

**3. compactar e compactar-forçar

**Controla a compactação de dados no nível do sistema de arquivos do sistema de arquivos Btrfs.

A opção compactar compacta apenas os arquivos que valem a pena compactar (se compactar o arquivo economizar espaço em disco).

A opção compress-force compacta todos os arquivos do sistema de arquivos Btrfs, mesmo que a compactação do arquivo aumente seu tamanho.

O sistema de arquivos Btrfs suporta muitos algoritmos de compactação e cada um dos algoritmos de compactação possui diferentes níveis de compactação.

Os algoritmos de compactação suportados pelo Btrfs são: lzo , zlib (nível 1 a 9) e zstd (nível 1 a 15).

Você pode especificar qual algoritmo de compactação usar para o sistema de arquivos Btrfs com uma das seguintes opções de montagem:

• compress=algoritmo:nível
• compress-force=algoritmo:nível

Para obter mais informações, consulte meu artigo Como habilitar a compactação do sistema de arquivos Btrfs .

**4. subvol e subvolid

**Estas opções de montagem são usadas para montar separadamente um subvolume específico de um sistema de arquivos Btrfs.

A opção de montagem subvol é usada para montar o subvolume de um sistema de arquivos Btrfs usando seu caminho relativo.

A opção de montagem subvolid é usada para montar o subvolume de um sistema de arquivos Btrfs usando o ID do subvolume.

Para obter mais informações, consulte meu artigo Como criar e montar subvolumes Btrfs .

**5. dispositivo

A opção de montagem de dispositivo** é usada no sistema de arquivos Btrfs de vários dispositivos ou RAID Btrfs.

Em alguns casos, o sistema operacional pode falhar ao detectar os dispositivos de armazenamento usados em um sistema de arquivos Btrfs de vários dispositivos ou RAID Btrfs. Nesses casos, você pode usar a opção de montagem do dispositivo para especificar os dispositivos que deseja usar para o sistema de arquivos de vários dispositivos Btrfs ou RAID.

Você pode usar a opção de montagem de dispositivo várias vezes para carregar diferentes dispositivos de armazenamento para o sistema de arquivos de vários dispositivos Btrfs ou RAID.

Você pode usar o nome do dispositivo (ou seja, sdb , sdc ) ou UUID , UUID_SUB ou PARTUUID do dispositivo de armazenamento com a opção de montagem do dispositivo para identificar o dispositivo de armazenamento.

Por exemplo,

• dispositivo=/dev/sdb
• dispositivo=/dev/sdb,dispositivo=/dev/sdc
• dispositivo=UUID_SUB=490a263d-eb9a-4558-931e-998d4d080c5d
• device=UUID_SUB=490a263d-eb9a-4558-931e-998d4d080c5d,device=UUID_SUB=f7ce4875-0874-436a-b47d-3edef66d3424

**6. degraded

A opção de montagem degradada** permite que um RAID Btrfs seja montado com menos dispositivos de armazenamento do que o perfil RAID requer.

Por exemplo, o perfil raid1 requer a presença de 2 dispositivos de armazenamento. Se um dos dispositivos de armazenamento não estiver disponível em qualquer caso, você usa a opção de montagem degradada para montar o RAID mesmo que 1 de 2 dispositivos de armazenamento esteja disponível.

**7. commit

A opção commit** mount é usada para definir o intervalo (em segundos) dentro do qual os dados serão gravados no dispositivo de armazenamento.

O padrão é definido como 30 segundos.

Para definir o intervalo de confirmação para 15 segundos, você pode usar a opção de montagem commit=15 (digamos).

**8. ssd e nossd

A opção de montagem ssd** informa ao sistema de arquivos Btrfs que o sistema de arquivos está usando um dispositivo de armazenamento SSD, e o sistema de arquivos Btrfs faz a otimização SSD necessária.

A opção de montagem nossd desativa a otimização do SSD.

O sistema de arquivos Btrfs detecta automaticamente se um SSD é usado para o sistema de arquivos Btrfs. Se um SSD for usado, a opção de montagem de SSD será habilitada. Caso contrário, a opção de montagem nossd é habilitada.

**9. ssd_spread e nossd_spread

A opção de montagem ssd_spread** tenta alocar grandes blocos contínuos de espaço não utilizado do SSD. Esse recurso melhora o desempenho de SSDs de baixo custo (baratos).

A opção de montagem nossd_spread desativa o recurso ssd_spread .

O sistema de arquivos Btrfs detecta automaticamente se um SSD é usado para o sistema de arquivos Btrfs. Se um SSD for usado, a opção de montagem ssd_spread será habilitada. Caso contrário, a opção de montagem nossd_spread é habilitada.

**10. descarte e nodiscard

Se você estiver usando um SSD que suporte TRIM enfileirado assíncrono (SATA rev3.1), a opção de montagem de descarte** permitirá o descarte de blocos de arquivos liberados. Isso melhorará o desempenho do SSD.

Se o SSD não suportar TRIM enfileirado assíncrono, a opção de montagem de descarte prejudicará o desempenho do SSD. Nesse caso, a opção de montagem nodiscard deve ser usada.

Por padrão, a opção de montagem nodiscard é usada.

**11. norecovery

Se a opção de montagem norecovery** for usada, o sistema de arquivos Btrfs não tentará executar a operação de recuperação de dados no momento da montagem.

**12. usebackuproot e nousebackuproot

Se a opção de montagem usebackuproot for usada, o sistema de arquivos Btrfs tentará recuperar qualquer raiz de árvore ruim/corrompida no momento da montagem. O sistema de arquivos Btrfs pode armazenar várias raízes de árvore no sistema de arquivos. A opção de montagem usebackuproot** procurará uma boa raiz de árvore e usará a primeira boa que encontrar.

A opção de montagem nousebackuproot não verificará ou recuperará raízes de árvore inválidas/corrompidas no momento da montagem. Este é o comportamento padrão do sistema de arquivos Btrfs.

**13. space_cache, space_cache=version, nospace_cache e clear_cache

A opção de montagem space_cache** é usada para controlar o cache de espaço livre. O cache de espaço livre é usado para melhorar o desempenho da leitura do espaço livre do grupo de blocos do sistema de arquivos Btrfs na memória (RAM).

O sistema de arquivos Btrfs suporta 2 versões do cache de espaço livre: v1 (padrão) e v2

O mecanismo de cache de espaço livre v2 melhora o desempenho de sistemas de arquivos grandes (tamanho de vários terabytes).

Você pode usar a opção de montagem space_cache=v1 para definir a v1 do cache de espaço livre e a opção de montagem space_cache=v2 para definir a v2 do cache de espaço livre.

A opção de montagem clear_cache é usada para limpar o cache de espaço livre.

Quando o cache de espaço livre v2 é criado, o cache deve ser limpo para criar um cache de espaço livre v1 .

Portanto, para usar o cache de espaço livre v1 após a criação do cache de espaço livre v2 , as opções de montagem clear_cache e space_cache=v1 devem ser combinadas: clear_cache,space_cache=v1

A opção de montagem nospace_cache é usada para desabilitar o cache de espaço livre.

Para desabilitar o cache de espaço livre após a criação do cache v1 ou v2 , as opções de montagem nospace_cache e clear_cache devem ser combinadas: clear_cache,nosapce_cache

**14. skip_balance

Por padrão, a operação de balanceamento interrompida/pausada de um sistema de arquivos Btrfs de vários dispositivos ou RAID Btrfs será retomada automaticamente assim que o sistema de arquivos Btrfs for montado. Para desabilitar a retomada automática da operação de equilíbrio interrompido/pausado em um sistema de arquivos Btrfs de vários dispositivos ou RAID Btrfs, você pode usar a opção de montagem skip_balance .**

**15. datacow e nodatacow

A opção datacow** mount habilita o recurso Copy-on-Write (CoW) do sistema de arquivos Btrfs. É o comportamento padrão.

Se você deseja desabilitar o recurso Copy-on-Write (CoW) do sistema de arquivos Btrfs para os arquivos recém-criados, monte o sistema de arquivos Btrfs com a opção de montagem nodatacow .

**16. datasum e nodatasum

A opção datasum** mount habilita a soma de verificação de dados para arquivos recém-criados do sistema de arquivos Btrfs. Este é o comportamento padrão.

Se você não quiser que o sistema de arquivos Btrfs faça a soma de verificação dos dados dos arquivos recém-criados, monte o sistema de arquivos Btrfs com a opção de montagem nodatasum .

Perfis Btrfs

Um perfil Btrfs é usado para informar ao sistema de arquivos Btrfs quantas cópias dos dados/metadados devem ser mantidas e quais níveis de RAID devem ser usados para os dados/metadados. O sistema de arquivos Btrfs contém muitos perfis. Entendê-los o ajudará a configurar um RAID Btrfs da maneira que você deseja.

Os perfis Btrfs disponíveis são os seguintes:

single : Se o perfil único for usado para os dados/metadados, apenas uma cópia dos dados/metadados será armazenada no sistema de arquivos, mesmo se você adicionar vários dispositivos de armazenamento ao sistema de arquivos. Assim, 100% do espaço em disco de cada um dos dispositivos de armazenamento adicionados ao sistema de arquivos pode ser utilizado.

dup : Se o perfil dup for usado para os dados/metadados, cada um dos dispositivos de armazenamento adicionados ao sistema de arquivos manterá duas cópias dos dados/metadados. Assim, 50% do espaço em disco de cada um dos dispositivos de armazenamento adicionados ao sistema de arquivos pode ser utilizado.

raid0 : No perfil raid0 , os dados/metadados serão divididos igualmente em todos os dispositivos de armazenamento adicionados ao sistema de arquivos. Nesta configuração, não haverá dados/metadados redundantes (duplicados). Assim, 100% do espaço em disco de cada um dos dispositivos de armazenamento adicionados ao sistema de arquivos pode ser usado. Se, em qualquer caso, um dos dispositivos de armazenamento falhar, todo o sistema de arquivos será corrompido. Você precisará de pelo menos dois dispositivos de armazenamento para configurar o sistema de arquivos Btrfs no perfil raid0 .

raid1 : No perfil raid1 , duas cópias dos dados/metadados serão armazenadas nos dispositivos de armazenamento adicionados ao sistema de arquivos. Nesta configuração, a matriz RAID pode sobreviver a uma falha de unidade. Mas você pode usar apenas 50% do espaço total em disco. Você precisará de pelo menos dois dispositivos de armazenamento para configurar o sistema de arquivos Btrfs no perfil raid1 .

raid1c3 : No perfil raid1c3 , três cópias dos dados/metadados serão armazenadas nos dispositivos de armazenamento adicionados ao sistema de arquivos. Nesta configuração, a matriz RAID pode sobreviver a duas falhas de unidade, mas você pode usar apenas 33% do espaço total em disco. Você precisará de pelo menos três dispositivos de armazenamento para configurar o sistema de arquivos Btrfs no perfil raid1c3 .

raid1c4 : No perfil raid1c4 , quatro cópias dos dados/metadados serão armazenadas nos dispositivos de armazenamento adicionados ao sistema de arquivos. Nesta configuração, a matriz RAID pode sobreviver a três falhas de unidade, mas você pode usar apenas 25% do espaço total em disco. Você precisará de pelo menos quatro dispositivos de armazenamento para configurar o sistema de arquivos Btrfs no perfil raid1c4 .

raid10 : No perfil raid10 , duas cópias dos dados/metadados serão armazenadas nos dispositivos de armazenamento adicionados ao sistema de arquivos, como no perfil raid1 . Além disso, os dados/metadados serão divididos entre os dispositivos de armazenamento, como no perfil raid0 .

O perfil raid10 é um híbrido dos perfis raid1 e raid0 . Alguns dos dispositivos de armazenamento formam arrays raid1 e alguns desses arrays raid1 são usados para formar um array raid0 . Em uma configuração raid10 , o sistema de arquivos pode sobreviver a uma única falha de unidade em cada uma das matrizes raid1 .

Você pode usar 50% do espaço total em disco na configuração raid10 . Você precisará de pelo menos quatro dispositivos de armazenamento para configurar o sistema de arquivos Btrfs no perfil raid10 .

raid5 : No perfil raid5 , uma cópia dos dados/metadados será dividida entre os dispositivos de armazenamento. Uma única paridade será calculada e distribuída entre os dispositivos de armazenamento do array RAID.

Em uma configuração raid5 , o sistema de arquivos pode sobreviver a uma única falha de unidade. Se uma unidade falhar, você pode adicionar uma nova unidade ao sistema de arquivos e os dados perdidos serão calculados a partir da paridade distribuída das unidades em execução.

Você pode usar 1 00x(N-1)/N % do total de espaços em disco na configuração raid5 . Aqui, N é o número de dispositivos de armazenamento adicionados ao sistema de arquivos. Você precisará de pelo menos três dispositivos de armazenamento para configurar o sistema de arquivos Btrfs no perfil raid5 .

raid6 : No perfil raid6 , uma cópia dos dados/metadados será dividida entre os dispositivos de armazenamento. Duas paridades serão calculadas e distribuídas entre os dispositivos de armazenamento do array RAID.

Em uma configuração raid6 , o sistema de arquivos pode sobreviver a duas falhas de unidade ao mesmo tempo. Se uma unidade falhar, você poderá adicionar uma nova unidade ao sistema de arquivos e os dados perdidos serão calculados a partir das duas paridades distribuídas das unidades em execução.

Você pode usar 100x(N-2)/N % do espaço total em disco na configuração raid6 . Aqui, N é o número de dispositivos de armazenamento adicionados ao sistema de arquivos. Você precisará de pelo menos quatro dispositivos de armazenamento para configurar o sistema de arquivos Btrfs no perfil raid6 .

@ 6f3670d9:03f04036

Disclaimer: - This will void your warranty - There might be differences between the Bitaxe and the Lucky Miner that might not cause issues or damage immediately, but might manifest long-term - Proceed at your own risk

---

A Different Pickaxe

You live in a place where it's difficult to get a Bitaxe. You have access to AliExpress. You look around. You find something called the "Lucky Miner LV06". A Bitaxe clone that uses the same mining chip as the Bitaxe Ultra (BM1366 ASIC). You buy one.

You plug it in, you enter your wallet address and other settings, and it starts mining. It works! Great!

But it's running a customized firmware. It's not AxeOS. Maybe there's something shady in the stock firmware. It's not open-source, after all. Also, AxeOS looks amazing... And that automatic pool fail-over feature is handy.

You think to yourself: "Maybe I can use the Bitaxe firmware on this?". Guess what? You're right!

Flashing From Web UI

What usually works for me is to: - Download the Bitaxe firmware files (esp-miner.bin and www.bin) from GitHub (here). Version 2.4.1 seems to work well, as of this writing. - Then from the Lucky Miner web interface, upload the "Website" (www.bin) file. - Wait for a minute or two after it's done uploading. - Upload the "Firmware" (esp-miner.bin) file. - Wait another minute or two. - Unplug the power and plug it back in. - Set the "Core Voltage" and "Frequency" to the defaults. - Unplug the power and plug it back in again.

If you're lucky (no pun intended), you'll have a working Lucky Miner with AxeOS. Update the settings and mine away!

However, often times I've been unlucky, like what happened while I was writing this article, ironically. The miner malfunctions for no obvious reason. It keeps rebooting, or it's not mining (zero/low hashrate), or the web interface is inaccessible. You name it.

The miner has become a "brick". How do you "unbrick" it?

When you brick a Bitaxe, you can recover it by flashing (uploading) a "Factory Image". The Bitaxe has a USB port that makes this easy. Follow the guide and it should come back to life again. Unfortunately, the Lucky Miner LV06 doesn't have a USB port. It has a serial port, though. We'll have to get our hands a bit dirty.

Flashing Using the Serial Port

We need to connect the serial port of the miner to a computer and run a program to flash (upload) the firmware file on the miner. Any 3.3v UART serial port should be sufficient. Unfortunately, PCs don't usually come with a UART serial port these days, let alone a 3.3v one. The serial port common in old computers is an RS-232 port, which will most probably fry your miner if you try to connect it directly. Beware.

In my case, as a serial port for my PC, I'm using an Arduino Due I had lying around. We connect it to the PC through USB, and on the other side we connect a few wires to the miner, which gives the PC access to the miner.

WARNING: Make sure your serial port is 3.3v or you will probably kill the miner. Arduino Uno is 5v not 3.3v, for example, and cannot be used for this.

Wiring

First, we need to open the Lucky Miner. Use a small flat screwdriver to gently push the two plastic clips shown in the picture below. Gently pry the top cover away from the bottom cover on the clips side first, then remove the other side. Be careful not to break the display cable.

Once the cover is off, you can find the miner's serial port in the top right corner (J10), as shown in the next picture. We'll also need the reset button (EN).

There are three screws holding the PCB and the bottom cover together. If you're confident in your ability to push the small button on the underside of the PCB with the bottom cover on, then no need to remove these. The following picture shows what we need from that side.

And the next picture shows the pins and USB port we will use from the Arduino.

Now, we need to connect: - The USB port on the Arduino labelled "programming" to the PC - Pin 18 (TX1) on the Arduino to J10 through-hole pad 5 (blue dot) - Pin 19 (RX1) on the Arduino to J10 through-hole pad 3 (green dot) - Any GND pin on the Arduino to J10 through-hole pad 4 (yellow dot)

I didn't need to solder the wires to the pads. Keeping everything stable, perhaps by putting a weight on the wires or a bit of tape, was sufficient in all my attempts.

Setting up the Arduino

To use the Arduino as a serial port for our PC, we'll have to make it pass-through data back and forth between the USB port and UART1, where we connected the miner.

The following steps are all done on a PC running Debian Linux (Bookworm), in the spirit of freedom and open-source.

First, we start the Arduino IDE. If the package for the Arduino Due board is not already installed, you'll see a small prompt at the bottom. Click "Install this package".

Click the "Install" button.

Once the package is installed, click "Close".

Next, we select the Due board. Click the "Tools" menu, select "Board", select "Arduino ARM (32-bits) Boards" and click "Arduino Due (Programming Port)"

Next, we select the port. Click the "Tools" menu again, select "Port", and click the port where the Arduino is connected. In my case it was "/dev/ttyACM0".

Now we need to upload the following code to the Arduino board. The code is actually the "SerialPassthrough" example from the IDE, but with the serial speed changed to match the miner.

``` void setup() { Serial.begin(115200); Serial1.begin(115200); }

void loop() { if (Serial.available()) { // If anything comes in Serial (USB), Serial1.write(Serial.read()); // read it and send it out Serial1 }

if (Serial1.available()) { // If anything comes in Serial1 Serial.write(Serial1.read()); // read it and send it out Serial (USB) } } ```

Copy/paste the code into the IDE and click upload. You'll see "Done uploading" at the bottom.

Next we'll test if we're receiving data from the miner. We start by opening the "Serial Monitor" from the "Tools" menu in the IDE. Then we change the baudrate to 115200.

Set the Arduino and the miner in a comfortable position, make sure the wires are held in place and got a good contact on both sides, and the power is plugged in.

Now we'll put the miner in "download" mode. Press and hold the button on the underside (K1), press and release the reset button (EN), then release the other button (K1).

You should see some text from the miner in the serial monitor window, like in the picture below.

Congratulations! We know we're able to receive data from the miner now. We're not sure transmit is working, but we'll find out when we try to flash.

Flashing Using the Serial Port, for Real

To flash the Lucky Miner we'll need a software tool named esptool and the factory image firmware file.

I usually use "esp-miner-factory-205-v2.1.8.bin" for the factory image (this one) as a base, and then flash the version I want from the Web UI, using the steps I mentioned earlier.

For esptool, the documentation (here) shows us how to install it. To make things a little easier on our Debian Linux system, we'll use pipx instead of pip. The instructions below are adapted for that.

First we make sure pipx is installed. Run this command in a terminal and follow the instructions:

sudo apt-get install pipx

Then we install esptool using pipx. Run the following in a terminal:

pipx install esptool

The output will be something like this:

user@pc:~$ pipx install esptool installed package esptool 4.8.1, installed using Python 3.11.2 These apps are now globally available - esp_rfc2217_server.py - espefuse.py - espsecure.py - esptool.py ⚠️ Note: '/home/user/.local/bin' is not on your PATH environment variable. These apps will not be globally accessible until your PATH is updated. Run `pipx ensurepath` to automatically add it, or manually modify your PATH in your shell's config file (i.e. ~/.bashrc). done! ✨ 🌟 ✨

We can see pipx telling us we won't be able to run our tool because the folder where it was installed is not in the PATH variable. To fix that, we can follow pipx instructions and run:

pipx ensurepath

And we'll see something like this:

``` user@pc:~$ pipx ensurepath Success! Added /home/user/.local/bin to the PATH environment variable.

Consider adding shell completions for pipx. Run 'pipx completions' for instructions.

You will need to open a new terminal or re-login for the PATH changes to take effect.

Otherwise pipx is ready to go! ✨ 🌟 ✨ ```

Now, close the terminal and re-open it so that esptool becomes available.

Finally, to actually flash the miner, put the miner in download mode, then in the following command change the port ("/dev/ttyACM0") to your serial port, as we've seen earlier, and the file path to where your firmware file is, and run it:

esptool.py -p /dev/ttyACM0 --baud 115200 write_flash --erase-all 0x0 ~/Downloads/esp-miner-factory-205-v2.1.8.bin

If everything went fine, the tool will take a few minutes to flash the firmware to the miner. You'll see something like this in the output:

``` user@pc:~$ esptool.py -p /dev/ttyACM0 --baud 115200 write_flash --erase-all 0x0 ~/Downloads/esp-miner-factory-205-v2.1.8.bin esptool.py v4.8.1 Serial port /dev/ttyACM0 Connecting..... Detecting chip type... ESP32-S3 Chip is ESP32-S3 (QFN56) (revision v0.2) Features: WiFi, BLE, Embedded PSRAM 8MB (AP_3v3) Crystal is 40MHz MAC: 3c:84:27:ba:be:01 Uploading stub... Running stub... Stub running... Configuring flash size... Erasing flash (this may take a while)... Chip erase completed successfully in 9.5s Compressed 15802368 bytes to 1320190... Wrote 15802368 bytes (1320190 compressed) at 0x00000000 in 152.1 seconds (effective 831.2 kbit/s)... Hash of data verified.

Leaving... Hard resetting via RTS pin... ```

And we're done! Hopefully the miner will be recovered now.

Hope this helps!

Stay humble,
dumb-package

A Warning About Beta Versions of AxeOS

For reasons unknown to me, while I was writing this article I wanted to try the testing version of AxeOS, which was v2.4.1b (beta). Flashing from Web UI went smooth, but the miner stopped mining. I flashed back to v2.1.8 using the serial port, a known good version for me, but it wouldn't mine, still.

Thankfully, v2.4.1 was released recently, and flashing it from the Web UI magically revived my miner. So, be warned.

Bonus: File Hashes

For convenience, these are the SHA256 hashes of the files I used in this article: ``` da24fceb246f3b8b4dd94e5143f17bd38e46e5285e807ebd51627cb08f665c0a ESP-Miner-v2.4.1/esp-miner.bin 16c5c671391f0e3e88a3e79ce33fad3b0ec232b8572fad5e1e0d1ad3251ab394 ESP-Miner-v2.4.1/www.bin

d5182a15b6fa21d7b9b31bff2026d30afed9d769781a48db914730a5751e20c6 esp-miner-factory-205-v2.1.8.bin ```

@ 9be6a199:6e133301

ssdsdsdsdsdsdsd

@ 04c915da:3dfbecc9

In much of the world, it is incredibly difficult to access U.S. dollars. Local currencies are often poorly managed and riddled with corruption. Billions of people demand a more reliable alternative. While the dollar has its own issues of corruption and mismanagement, it is widely regarded as superior to the fiat currencies it competes with globally. As a result, Tether has found massive success providing low cost, low friction access to dollars. Tether claims 400 million total users, is on track to add 200 million more this year, processes 8.1 million transactions daily, and facilitates $29 billion in daily transfers. Furthermore, their estimates suggest nearly 40% of users rely on it as a savings tool rather than just a transactional currency.

Tether’s rise has made the company a financial juggernaut. Last year alone, Tether raked in over $13 billion in profit, with a lean team of less than 100 employees. Their business model is elegantly simple: hold U.S. Treasuries and collect the interest. With over $113 billion in Treasuries, Tether has turned a straightforward concept into a profit machine.

Tether’s success has resulted in many competitors eager to claim a piece of the pie. This has triggered a massive venture capital grift cycle in USD tokens, with countless projects vying to dethrone Tether. Due to Tether’s entrenched network effect, these challengers face an uphill battle with little realistic chance of success. Most educated participants in the space likely recognize this reality but seem content to perpetuate the grift, hoping to cash out by dumping their equity positions on unsuspecting buyers before they realize the reality of the situation.

Historically, Tether’s greatest vulnerability has been U.S. government intervention. For over a decade, the company operated offshore with few allies in the U.S. establishment, making it a major target for regulatory action. That dynamic has shifted recently and Tether has seized the opportunity. By actively courting U.S. government support, Tether has fortified their position. This strategic move will likely cement their status as the dominant USD token for years to come.

While undeniably a great tool for the millions of users that rely on it, Tether is not without flaws. As a centralized, trusted third party, it holds the power to freeze or seize funds at its discretion. Corporate mismanagement or deliberate malpractice could also lead to massive losses at scale. In their goal of mitigating regulatory risk, Tether has deepened ties with law enforcement, mirroring some of the concerns of potential central bank digital currencies. In practice, Tether operates as a corporate CBDC alternative, collaborating with authorities to surveil and seize funds. The company proudly touts partnerships with leading surveillance firms and its own data reveals cooperation in over 1,000 law enforcement cases, with more than $2.5 billion in funds frozen.

---

The global demand for Tether is undeniable and the company’s profitability reflects its unrivaled success. Tether is owned and operated by bitcoiners and will likely continue to push forward strategic goals that help the movement as a whole. Recent efforts to mitigate the threat of U.S. government enforcement will likely solidify their network effect and stifle meaningful adoption of rival USD tokens or CBDCs. Yet, for all their achievements, Tether is simply a worse form of money than bitcoin. Tether requires trust in a centralized entity, while bitcoin can be saved or spent without permission. Furthermore, Tether is tied to the value of the US Dollar which is designed to lose purchasing power over time, while bitcoin, as a truly scarce asset, is designed to increase in purchasing power with adoption. As people awaken to the risks of Tether’s control, and the benefits bitcoin provides, bitcoin adoption will likely surpass it.

@ 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!

@ 9be6a199:6e133301

@ 6f3670d9:03f04036

This is my first long-form post. The starting line.

There's nothing of value here. Just using this as a marker.

I hope to post a lot more. Documenting how I made something work would be very useful to me, and hopefully others, but I've been too lazy to do that. Wish me luck!

Stay humble,
dumb-package

@ 57d1a264:69f1fee1

Payjoin allows the sender and receiver of an on-chain payment to collaborate and create a transaction that breaks on-chain heuristics, allowing a more private transaction with ambiguous payment amount and UTXO ownership. Additionally, it can also be used for UTXO consolidation (receiver saves future fees) and batching payments (receiver can make payment(s) of their own in the process of receiving one), also known as transaction cut-through. Other than improved privacy, the rest of the benefits are typically applicable to the receiver, not the sender.

BIP-78 was the original payjoin protocol that required the receiver to run a endpoint/server (always online) in order to mediate the payjoin process. Payjoin adoption has remained pretty low, something attributed to the server & perpetual online-ness requirement. This is the motivation for payjoin v2.

The purpose of the one-pager is to analyse the protocol, and highlight the UX issues or tradeoffs it entails, so that the payjoin user flows can be appropriately designed and the tradeoffs likewise communicated. A further document on UX solutions might be needed to identify solutions and opportunities

The following observations are generally limited to individual users transacting through their mobile devices:

While users naturally want better privacy and fee-savings, they also want to minimise friction and minimise (optimise) payment time. These are universal and more immediate needs since they deal with the user experience.

Added manual steps

TL;DR v2 payjoin eliminates server & simultaneous user-liveness requirements (increasing TAM, and opportunities to payjoin, as a result) by adding manual steps.

Usually, the extent of the receiver's involvement in the transaction process is limited to sharing their address with the sender. Once they share the address/URI, they can basically forget about it. In the target scenario for v2 payjoin, the receiver must come online again (except they have no way of knowing "when") to contribute input(s) and sign the PSBT. This can be unexpected, unintuitive and a bit of a hassle.

Usually (and even with payjoin v1), the sender crafts and broadcasts the transaction in one go; meaning the user's job is done within a few seconds/minutes. With payjoin v2, they must share the original-PSBT with the receiver, and then wait for them to do their part. Once the the receiver has done that, the sender must come online to review the transaction, sign it & broadcast.

In summary,

In payjoin v1, step 3 is automated and instant, so delay 2, 3 =~ 0. As the user experiences it, the process is completed in a single session, akin to a non-payjoin transaction.

With payjoin v2, Steps 2 & 3 in the above diagram are widely spread and noticeable. These manual steps are separated by uncertain delays (more on that below) when compared to a non-payjoin transaction.

Delays

We've established that both senders and receivers must take extra manual steps to execute a payoin transaction. With payjoin v2, this process gets split into multiple sessions, since the sender and receiver are not like to be online simultaneously.

Delay 2 & 3 (see diagram above) are uncertain in nature. Most users do not open their bitcoin wallets for days or weeks! The receiver must come online before the timeout hits in order for the payjoin process to work, otherwise time is just wasted with no benefit. UX or technical solutions are needed to minimise these delays.

Delays might be exacerbated if the setup is based on hardware wallet and/or uses multisig.

Notifications or background processes

There is one major problem when we say "the user must come online to..." but in reality the user has no way of knowing there is a payjoin PSBT waiting for them. After a PSBT is sent to the relay, the opposite user would only find out about it whenever they happen to come online. Notifications and background sync processes might be necessary to minimise delays. This is absolutely essential to avert timeouts in addition to saving valuable time. Another risk is phantom payjoin stuff after the timeout is expired if receiver-side does not know it has.

Fee Savings

The following observations might be generally applicable for both original and this v2 payjoin version. Fee-savings with payjoin is a tricky topic. Of course, overall a payjoin transaction is always cheaper than 2 separate transactions, since they get to share the overhead.

Additionally, without the receiver contributing to fees, the chosen fee rate of the PSBT (at the beginning) drops, and can lead to slower confirmation. From another perspective, a sender paying with payjoin pays higher fees for similar confirmation target. This has been observed in a production wallet years back. Given that total transaction time can extend to days, the fee environment itself might change, and all this must be considered when designing the UX.

Of course, there is nothing stopping the receiver from contributing to fees, but this idea is likely entirely novel to the bitcoin ecosystem (perhaps payments ecosystem in general) and the user base. Additionally, nominally it involves the user paying fees and tolerating delays just to receive bitcoin. Without explicit incentives/features that encourage receivers to participate, payjoining might seem like an unncessary hassle.

Overall, it seems that payjoin makes UX significant tradeoffs for important privacy (and potential fee-saving) benefits. This means that the UX might have to do significant heavy-lifting, to ensure that users are not surprised, confused or frustrated when they try to transact on-chain in a privacy-friendly feature. Good, timely communication, new features for consolidation & txn-cutthrough and guided user flows seem crucial to ensure payjoin adoption and for help make on-chain privacy a reality for users.

---------------

Original document available here. Reach out at yashrajdca@proton.me, y_a_s_h_r_a_j.70 on Signal, or on reach out in Bitcoin Design discord.

https://stacker.news/items/981388

@ 91117f2b:111207d6

Crypto currency is now a buzzword in the financial world. Many people are wondering what it is all about. In my article I will break down the basis of crypto currency and at the same time explore it's basis and risks.

MANY ASKS "WHAT IS CRYPTO CURRENCY

Crypto currency is a virtual or digital currency that uses cryptography for security. Which means it is not controlled by government or financial institutions. The transaction are recorded on a public ledger also called a blockchain which ensures the transparency and security of crypto currency.

MANY ASKS HOW DOES IT WORK

Crypto currency has different stages such as the mining, transaction and the wallet stage. THE MINING STAGE: Crypto currency is created through a process which is described as mining, and where your hardwares or computer solve complex mathematical problem to validate your transaction and create new coins.

TRANSACTION STAGE: crypto currency can be be traded for other currencies, they can also be used to buy goods and services online.

WALLET: crypto currency is stored digitally which can be accessed through your hardwares or even your softwares.

THEY ARE BENEFITS AND RISKS FOR CRYPTO CURRENCY

HERE ARE SOME BENEFITS 1. Decentralization :decentralization gives users more control over their money, because crypto currency operates independently of government and banks.

1. ACCESSIBILITY: crypto currency can be accessed by anyone through the use of internet making it to be a solution for finances.
2. SECURITY: the transactions of crypto currencies are secure and also transparent through the aid of blockchain technology.

HERE ARE SOME RISKS

1. SECURITY RISKS: during exchange in crypto currency wallets can be vulnerable to hacking and cyber theft.

2. VOLATILITY: crypto currency can fluctuate or tends to fluctuate rapidly making it a risky investment.

3. REGULATORY UNCERTAINTY: the rules and regulations of crypto currency is still evolving, which can create uncertainty and risks for investors.

SOME POPULAR CRYPTO CURRENCIES

1. BITCOIN: it is the most reknown crypto currency and is often a gold standard for digital currencies.

2. ETHERIUM: it is a popular platform for building decentralized applications. Etherium has its own crypto currency called Ether.

3. ALTCOINS: they are other crypto currenciss like montero, lite coin and so on, which offers alternatives.

IN CONCLUSION

Crypto currency is complex and it is rapidly evolving, both with benefit and risks. It is essential to stay updated and informed to understand the changes both opportunities and challenges. I assure you whatever you do for a living crypto currency is worth your time and explorations.

@ 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.

@ cae03c48:2a7d6671

Bitcoin Magazine

Bitcoin Records Highest Weekly Close Above $106K

Bitcoin has officially recorded its highest-ever weekly candle close, finishing the week at $106,516. The milestone was achieved on Sunday evening, marking a notable moment in Bitcoin’s ongoing price history and underscoring growing institutional and retail interest.

JUST IN: $107,000 #Bitcoin pic.twitter.com/Xt1JLm0Ke6

— Bitcoin Magazine (@BitcoinMagazine) May 19, 2025

This weekly close sets a new benchmark for BTC’s price performance and positions the asset in a historically rare range. As of Monday, Bitcoin is trading at $102,924, reflecting typical price movement following a new high as markets adjust to key levels. 

Historical data helps illustrate the significance of this moment. According to an analysis shared by on-chain researcher Dan, Bitcoin has closed above $106,439 only once—this week—accounting for just 0.02% of its entire trading history. Closures above $100,000 have occurred in only 40 days total. Even levels like $75,000 and $50,000 remain relatively uncommon in Bitcoin’s lifespan, appearing on just 181 and 586 days, respectively.

pic.twitter.com/fotyiDiyY4

— Dan (@robustus) May 19, 2025

This data highlights how current prices place Bitcoin in a historically narrow range of time — a reflection of the long-term upward trend of the asset over the past decade. For market participants, this type of price action often serves as an indicator of continued momentum and interest in Bitcoin’s role as a digital store of value. 

The broader Bitcoin ecosystem continues to show strength, with on-chain metrics reflecting growing user engagement and long-term holder confidence. Notably, activity on the Bitcoin network remains elevated, with transaction volumes and address growth signaling continued adoption. Analysts are closely watching inflows into Bitcoin-focused ETFs and the behavior of long-term holders, both of which are key indicators of sustained interest and belief in Bitcoin’s long-term value.

bitcoin just had its all-time high weekly candle close at $106,500 pic.twitter.com/FuqqptHEmA

— Alex Thorn (@intangiblecoins) May 19, 2025

Some traders are watching the $100,000 level closely as a key psychological and technical zone. Bitcoin’s ability to maintain this level following a record weekly close could be important in setting the tone for the weeks ahead. 

While near-term price movements are always part of market dynamics, the latest close represents a milestone in Bitcoin’s history. It reaffirms the asset’s resilience and ongoing relevance in the global financial landscape.

This post Bitcoin Records Highest Weekly Close Above $106K first appeared on Bitcoin Magazine and is written by Jenna Montgomery.

@ 57d1a264:69f1fee1

LegoGPT generates a LEGO structure from a user-provided text prompt in an end-to-end manner. Notably, our generated LEGO structure is physically stable and buildable.

Lego is something most of us knows. This is a opportuity to ask where is our creativity going? From the art of crafting figures to building blocks following our need and desires to have a machine thinking and building following step-by-step instructions to achieve an isolated goal.

Is the creative act then in the question itself, not anymore in the crafting? Are we just delegating the solution of problems, the thinking of how to respond to questions, to machines? Would it be different if delegated to other people?

Source: https://avalovelace1.github.io/LegoGPT/

https://stacker.news/items/981336

@ 82a7a1ff:2c1e9cdf

Whatever

@ c066aac5:6a41a034

I’m drawn to extremities in art. The louder, the bolder, the more outrageous, the better. Bold art takes me out of the mundane into a whole new world where anything and everything is possible. Having grown up in the safety of the suburban midwest, I was a bit of a rebellious soul in search of the satiation that only came from the consumption of the outrageous. My inclination to find bold art draws me to NOSTR, because I believe NOSTR can be the place where the next generation of artistic pioneers go to express themselves. I also believe that as much as we are able, were should invite them to come create here.

My Background: A Small Side Story

My father was a professional gamer in the 80s, back when there was no money or glory in the avocation. He did get a bit of spotlight though after the fact: in the mid 2000’s there were a few parties making documentaries about that era of gaming as well as current arcade events (namely 2007’sChasing GhostsandThe King of Kong: A Fistful of Quarters). As a result of these documentaries, there was a revival in the arcade gaming scene. My family attended events related to the documentaries or arcade gaming and I became exposed to a lot of things I wouldn’t have been able to find. The producer ofThe King of Kong: A Fistful of Quarters had previously made a documentary calledNew York Dollwhich was centered around the life of bassist Arthur Kane. My 12 year old mind was blown: The New York Dolls were a glam-punk sensation dressed in drag. The music was from another planet. Johnny Thunders’ guitar playing was like Chuck Berry with more distortion and less filter. Later on I got to meet the Galaga record holder at the time, Phil Day, in Ottumwa Iowa. Phil is an Australian man of high intellect and good taste. He exposed me to great creators such as Nick Cave & The Bad Seeds, Shakespeare, Lou Reed, artists who created things that I had previously found inconceivable.

I believe this time period informed my current tastes and interests, but regrettably I think it also put coals on the fire of rebellion within. I stopped taking my parents and siblings seriously, the Christian faith of my family (which I now hold dearly to) seemed like a mundane sham, and I felt I couldn’t fit in with most people because of my avant-garde tastes. So I write this with the caveat that there should be a way to encourage these tastes in children without letting them walk down the wrong path. There is nothing inherently wrong with bold art, but I’d advise parents to carefully find ways to cultivate their children’s tastes without completely shutting them down and pushing them away as a result. My parents were very loving and patient during this time; I thank God for that.

With that out of the way, lets dive in to some bold artists:

Nicolas Cage: Actor

There is an excellent video by Wisecrack on Nicolas Cage that explains him better than I will, which I will linkhere. Nicolas Cage rejects the idea that good acting is tied to mere realism; all of his larger than life acting decisions are deliberate choices. When that clicked for me, I immediately realized the man is a genius. He borrows from Kabuki and German Expressionism, art forms that rely on exaggeration to get the message across. He has even created his own acting style, which he calls Nouveau Shamanic. He augments his imagination to go from acting to being. Rather than using the old hat of method acting, he transports himself to a new world mentally. The projects he chooses to partake in are based on his own interests or what he considers would be a challenge (making a bad script good for example). Thus it doesn’t matter how the end result comes out; he has already achieved his goal as an artist. Because of this and because certain directors don’t know how to use his talents, he has a noticeable amount of duds in his filmography. Dig around the duds, you’ll find some pure gold. I’d personally recommend the filmsPig, Joe, Renfield, and his Christmas film The Family Man.

Nick Cave: Songwriter

What a wild career this man has had! From the apocalyptic mayhem of his band The Birthday Party to the pensive atmosphere of his albumGhosteen, it seems like Nick Cave has tried everything. I think his secret sauce is that he’s always working. He maintains an excellent newsletter calledThe Red Hand Files, he has written screenplays such asLawless, he has written books, he has made great film scores such asThe Assassination of Jesse James by the Coward Robert Ford, the man is religiously prolific. I believe that one of the reasons he is prolific is that he’s not afraid to experiment. If he has an idea, he follows it through to completion. From the albumMurder Ballads(which is comprised of what the title suggests) to his rejected sequel toGladiator(Gladiator: Christ Killer), he doesn’t seem to be afraid to take anything on. This has led to some over the top works as well as some deeply personal works. Albums likeSkeleton TreeandGhosteenwere journeys through the grief of his son’s death. The Boatman’s Callis arguably a better break-up album than anything Taylor Swift has put out. He’s not afraid to be outrageous, he’s not afraid to offend, but most importantly he’s not afraid to be himself. Works I’d recommend include The Birthday Party’sLive 1981-82, Nick Cave & The Bad Seeds’The Boatman’s Call, and the filmLawless.

Jim Jarmusch: Director

I consider Jim’s films to be bold almost in an ironic sense: his works are bold in that they are, for the most part, anti-sensational. He has a rule that if his screenplays are criticized for a lack of action, he makes them even less eventful. Even with sensational settings his films feel very close to reality, and they demonstrate the beauty of everyday life. That's what is bold about his art to me: making the sensational grounded in reality while making everyday reality all the more special. Ghost Dog: The Way of the Samurai is about a modern-day African-American hitman who strictly follows the rules of the ancient Samurai, yet one can resonate with the humanity of a seemingly absurd character. Only Lovers Left Aliveis a vampire love story, but in the middle of a vampire romance one can see their their own relationships in a new deeply human light. Jim’s work reminds me that art reflects life, and that there is sacred beauty in seemingly mundane everyday life. I personally recommend his filmsPaterson,Down by Law, andCoffee and Cigarettes.

NOSTR: We Need Bold Art

NOSTR is in my opinion a path to a better future. In a world creeping slowly towards everything apps, I hope that the protocol where the individual owns their data wins over everything else. I love freedom and sovereignty. If NOSTR is going to win the race of everything apps, we need more than Bitcoin content. We need more than shirtless bros paying for bananas in foreign countries and exercising with girls who have seductive accents. Common people cannot see themselves in such a world. NOSTR needs to catch the attention of everyday people. I don’t believe that this can be accomplished merely by introducing more broadly relevant content; people are searching for content that speaks to them. I believe that NOSTR can and should attract artists of all kinds because NOSTR is one of the few places on the internet where artists can express themselves fearlessly. Getting zaps from NOSTR’s value-for-value ecosystem has far less friction than crowdfunding a creative project or pitching investors that will irreversibly modify an artist’s vision. Having a place where one can post their works without fear of censorship should be extremely enticing. Having a place where one can connect with fellow humans directly as opposed to a sea of bots should seem like the obvious solution. If NOSTR can become a safe haven for artists to express themselves and spread their work, I believe that everyday people will follow. The banker whose stressful job weighs on them will suddenly find joy with an original meme made by a great visual comedian. The programmer for a healthcare company who is drowning in hopeless mundanity could suddenly find a new lust for life by hearing the song of a musician who isn’t afraid to crowdfund their their next project by putting their lighting address on the streets of the internet. The excel guru who loves independent film may find that NOSTR is the best way to support non corporate movies. My closing statement: continue to encourage the artists in your life as I’m sure you have been, but while you’re at it give them the purple pill. You may very well be a part of building a better future.

@ 3104fbbf:ac623068

Introduction

If you have a functioning brain, it’s impossible to fully stand for any politician or align completely with any political party. The solutions we need are not found in the broken systems of power but in individual actions and local initiatives. Voting for someone may be your choice, but relying solely on elections every few years as a form of political activism is a losing strategy. People around the world have fallen into the trap of thinking that casting a ballot once every four years is enough, only to return to complacency as conditions worsen. Voting for the "lesser of two evils" has been the norm for decades, yet expecting different results from the same flawed system is naive at best.

The truth is, governments are too corrupt to save us. In times of crisis, they won’t come to your aid—instead, they will tighten their grip, imposing more surveillance, control, and wealth extraction to benefit the oligarch class. To break free from this cycle, we must first protect ourselves individually—financially, geographically, and digitally—alongside our families.

Then, we must organize and build resilient local communities. These are the only ways forward. History has shown us time and again that the masses are easily deceived by the political circus, falling for the illusion of a "savior" who will fix everything. But whether right, center, or left, the story remains the same: corruption, lies, and broken promises. If you possess a critical and investigative mind, you know better than to place your trust in politicians, parties, or self-proclaimed heroes. The real solution lies in free and sovereign individuals who reject the herd mentality and take responsibility for their own lives.

From the beginning of time, true progress has come from individuals who think for themselves and act independently. The nauseating web of politicians, billionaires, and oligarchs fighting for power and resources has never been—and will never be—the answer to our problems. In a world increasingly dominated by corrupted governments, NGOs, and elites, ordinary people must take proactive steps to protect themselves and their families.

---

1. Financial Protection: Reclaiming Sovereignty Through Bitcoin

Governments and central banks have long manipulated fiat currencies, eroding wealth through inflation and bailouts that transfer resources to the oligarch class. Bitcoin, as a decentralized, censorship-resistant, and finite currency, offers a way out. Here’s what individuals can do:

• Adopt Bitcoin as a Savings Tool: Shift a portion of your savings into Bitcoin to protect against inflation and currency devaluation. Bitcoin’s fixed supply (21 million coins) ensures it cannot be debased like fiat money.

• Learn Self-Custody: Store your Bitcoin in a hardware wallet or use open-source software wallets. Avoid centralized exchanges, which are vulnerable to government seizure or collapse.

• Diversify Geographically: Hold assets in multiple jurisdictions to reduce the risk of confiscation or capital controls. Consider offshore accounts or trusts if feasible.

• Barter and Local Economies: In times of crisis, local barter systems and community currencies can bypass failing national systems. Bitcoin can serve as a global medium of exchange in such scenarios.

---

2. Geographical Flexibility: Reducing Dependence on Oppressive Systems

Authoritarian regimes thrive on controlling populations within fixed borders. By increasing geographical flexibility, individuals can reduce their vulnerability:

• Obtain Second Passports or Residencies: Invest in citizenship-by-investment programs or residency permits in countries with greater freedoms and lower surveillance.

• Relocate to Freer Jurisdictions: Research and consider moving to regions with stronger property rights, lower taxes, and less government overreach.

• Decentralize Your Life: Avoid keeping all your assets, family, or business operations in one location. Spread them across multiple regions to mitigate risks.

---

3. Digital Privacy: Fighting Surveillance with Advanced Tools

The rise of mass surveillance and data harvesting by governments and corporations threatens individual freedom. Here’s how to protect yourself:

• Use Encryption: Encrypt all communications using tools like Signal or ProtonMail. Ensure your devices are secured with strong passwords and biometric locks.

• Adopt Privacy-Focused Technologies: Use Tor for anonymous browsing, VPNs to mask your IP address, and open-source operating systems like Linux to avoid backdoors.

• Reject Surveillance Tech: Avoid smart devices that spy on you (e.g., Alexa, Google Home). Opt for decentralized alternatives like Mastodon instead of Twitter, or PeerTube instead of YouTube.

• Educate Yourself on Digital Privacy: Learn about tools and practices that enhance your online privacy and security.

---

4. Building Resilient Local Communities: The Foundation of a Free Future

While individual actions are crucial, collective resilience is equally important. Governments are too corrupt to save populations in times of crisis—history shows they will instead impose more control and transfer wealth to the elite.

To counter this, communities must organize locally:

• Form Mutual Aid Networks: Create local groups that share resources, skills, and knowledge. These networks can provide food, medical supplies, and security during crises.

• Promote Local Economies: Support local businesses, farmers, and artisans. Use local currencies or barter systems to reduce dependence on centralized financial systems.

• Develop Off-Grid Infrastructure: Invest in renewable energy, water filtration, and food production to ensure self-sufficiency. Community gardens, solar panels, and rainwater harvesting are excellent starting points.

• Educate and Empower: Host workshops on financial literacy, digital privacy, and sustainable living. Knowledge is the most powerful tool against authoritarianism.

---

5. The Bigger Picture: Rejecting the Illusion of Saviors

The deep corruption within governments, NGOs, and the billionaire class is evident. These entities will never act in the interest of ordinary people. Instead, they will exploit crises to expand surveillance, control, and wealth extraction. The idea of a political “savior” is a dangerous illusion. True freedom comes from individuals taking responsibility for their own lives and working together to build decentralized, resilient systems.

---

Conclusion: A Call to Action

The path to a genuinely free humanity begins with individual action. By adopting Bitcoin, securing digital privacy, increasing geographical flexibility, and building resilient local communities, ordinary people can protect themselves against authoritarianism. Governments will not save us—they are the problem. It is up to us to create a better future, free from the control of corrupt elites.

• The tools for liberation already exist.

• The question is: will we use them?

For those interested, I share ideas and solutions in my book « THE GATEWAY TO FREEDOM » https://blisshodlenglish.substack.com/p/the-gateway-to-freedom

⚡ The time to act is now. Freedom is not given—it is taken. ⚡

If you enjoyed this article, consider supporting it with a Zap!

---

My Substack ENGLISH = https://blisshodlenglish.substack.com/ My substack FRENCH = https://blisshodl.substack.com/

---

Get my Book « THE GATEWAY TO FREEDOM » here 🙏 => https://coinos.io/blisshodl

---

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@ 57d1a264:69f1fee1

Just another Ecash nutsnote design is a ew template for brrr.gandlaf.com cashu tocken printing machine and honoring Ecash ideator David Lee Chaum. Despite the turn the initial project took, we would not have Ecash today without his pioneering approach in cryptography and privacy-preserving technologies.

A simple KISS (Keep It Super Simple) Ecash nutsnote delivered as SVG, nothing fancy, designed in PenPot, an open source design tool, for slides, presentations, mockups and interactive prototypes.

Here Just another Nutsnote's current state, together with some snapshots along the process. Your feedback is more than welcome.

https://design.penpot.app/#/view?file-id=749aaa04-8836-81c6-8006-0b29916ec156&page-id=749aaa04-8836-81c6-8006-0b29916ec157&section=interactions&index=0&share-id=addba4d5-28a4-8022-8006-2ecc4316ebb2

originally posted at https://stacker.news/items/979728

@ 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 ```

@ 57d1a264:69f1fee1

Has the architect Greg Chasen considered it when rebuilding the house just one year before the catastrophe? Apparently not! Another of his projects was featured on the Value of Architecture as properties with design integrity.

This is a super interesting subject. The historic character, livability, and modern disaster-resistance is a triangle where you often have to pick just one or two, which leads to some tough decisions that have major impacts on families and communities. Like one of the things he mentions is that the architect completely eliminated plants from the property. That's great for fire resistance, but not so great for other things if the entire town decides to go the same route (which he does bring up later in the video). I don't think there's any objectively right answer, but definitely lots of good (and important) discussion points to be had.

https://www.youtube.com/watch?v=cbl_1qfsFXk

originally posted at https://stacker.news/items/979653

@ 3f770d65:7a745b24

🏌️ Monday, May 26 – Bitcoin Golf Championship & Kickoff Party

Location: Las Vegas, Nevada\ Event: 2nd Annual Bitcoin Golf Championship & Kick Off Party"\ Where: Bali Hai Golf Clubhouse, 5160 S Las Vegas Blvd, Las Vegas, NV 89119\ 🎟️ Get Tickets!

Details:

• The week tees off in style with the Bitcoin Golf Championship. Swing clubs by day and swing to music by night.

• Live performances from Nostr-powered acts courtesy of Tunestr, including Ainsley Costello and others.

• Stop by the Purple Pill Booth hosted by Derek and Tanja, who will be on-boarding golfers and attendees to the decentralized social future with Nostr.

---

💬 May 27–29 – Bitcoin 2025 Conference at the Las Vegas Convention Center

Location: The Venetian Resort\ Main Attraction for Nostr Fans: The Nostr Lounge\ When: All day, Tuesday through Thursday\ Where: Right outside the Open Source Stage\ 🎟️ Get Tickets!

Come chill at the Nostr Lounge, your home base for all things decentralized social. With seating for \~50, comfy couches, high-tops, and good vibes, it’s the perfect space to meet developers, community leaders, and curious newcomers building the future of censorship-resistant communication.

Bonus: Right across the aisle, you’ll find Shopstr, a decentralized marketplace app built on Nostr. Stop by their booth to explore how peer-to-peer commerce works in a truly open ecosystem.

Daily Highlights at the Lounge:

• ☕️ Hang out casually or sit down for a deeper conversation about the Nostr protocol

• 🔧 1:1 demos from app teams

• 🛍️ Merch available onsite

• 🧠 Impromptu lightning talks

• 🎤 Scheduled Meetups (details below)

---

🎯 Nostr Lounge Meetups

Wednesday, May 28 @ 1:00 PM

• Damus Meetup: Come meet the team behind Damus, the OG Nostr app for iOS that helped kickstart the social revolution. They'll also be showcasing their new cross-platform app, Notedeck, designed for a more unified Nostr experience across devices. Grab some merch, get a demo, and connect directly with the developers.

Thursday, May 29 @ 1:00 PM

• Primal Meetup: Dive into Primal, the slickest Nostr experience available on web, Android, and iOS. With a built-in wallet, zapping your favorite creators and friends has never been easier. The team will be on-site for hands-on demos, Q\&A, merch giveaways, and deeper discussions on building the social layer of Bitcoin.

---

🎙️ Nostr Talks at Bitcoin 2025

If you want to hear from the minds building decentralized social, make sure you attend these two official conference sessions:

1. FROSTR Workshop: Multisig Nostr Signing

• 🕚 Time: 11:30 AM – 12:00 PM

• 📅 Date: Wednesday, May 28

• 📍 Location: Developer Zone

• 🎤 Speaker: nostr:nprofile1qy2hwumn8ghj7etyv4hzumn0wd68ytnvv9hxgqgdwaehxw309ahx7uewd3hkcqpqs9etjgzjglwlaxdhsveq0qksxyh6xpdpn8ajh69ruetrug957r3qf4ggfm (Austin Kelsay) @ Voltage\ A deep-dive into FROST-based multisig key management for Nostr. Geared toward devs and power users interested in key security.

2. Panel: Decentralizing Social Media

• 🕑 Time: 2:00 PM – 2:30 PM

• 📅 Date: Thursday, May 29

• 📍 Location: Genesis Stage

• 🎙️ Moderator: nostr:nprofile1qyxhwumn8ghj7mn0wvhxcmmvqy08wumn8ghj7mn0wd68yttjv4kxz7fwv3jhyettwfhhxuewd4jsqgxnqajr23msx5malhhcz8paa2t0r70gfjpyncsqx56ztyj2nyyvlq00heps - Bitcoin Strategy @ Roxom TV

• 👥 Speakers:

• nostr:nprofile1qyt8wumn8ghj7etyv4hzumn0wd68ytnvv9hxgtcppemhxue69uhkummn9ekx7mp0qqsy2ga7trfetvd3j65m3jptqw9k39wtq2mg85xz2w542p5dhg06e5qmhlpep – Early Bitcoin dev, CEO @ Sirius Business Ltd

• nostr:nprofile1qy2hwumn8ghj7mn0wd68ytndv9kxjm3wdahxcqg5waehxw309ahx7um5wfekzarkvyhxuet5qqsw4v882mfjhq9u63j08kzyhqzqxqc8tgf740p4nxnk9jdv02u37ncdhu7e3 – Analyst & Partner @ Ego Death Capital

Get the big-picture perspective on why decentralized social matters and how Nostr fits into the future of digital communication.

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🌃 NOS VEGAS Meetup & Afterparty

Date: Wednesday, May 28\ Time: 7:00 PM – 1:00 AM\ Location: We All Scream Nightclub, 517 Fremont St., Las Vegas, NV 89101\ 🎟️ Get Tickets!

What to Expect:

• 🎶 Live Music Stage – Featuring Ainsley Costello, Sara Jade, Able James, Martin Groom, Bobby Shell, Jessie Lark, and other V4V artists

• 🪩 DJ Party Deck – With sets by nostr:nprofile1qy0hwumn8ghj7cmgdae82uewd45kketyd9kxwetj9e3k7mf6xs6rgqgcwaehxw309ahx7um5wgh85mm694ek2unk9ehhyecqyq7hpmq75krx2zsywntgtpz5yzwjyg2c7sreardcqmcp0m67xrnkwylzzk4 , nostr:nprofile1qy2hwumn8ghj7etyv4hzumn0wd68ytnvv9hxgqgkwaehxw309anx2etywvhxummnw3ezucnpdejqqg967faye3x6fxgnul77ej23l5aew8yj0x2e4a3tq2mkrgzrcvecfsk8xlu3 , and more DJs throwing down

• 🛰️ Live-streamed via Tunestr

• 🧠 Nostr Education – Talks by nostr:nprofile1qy88wumn8ghj7mn0wvhxcmmv9uq37amnwvaz7tmwdaehgu3dwfjkccte9ejx2un9ddex7umn9ekk2tcqyqlhwrt96wnkf2w9edgr4cfruchvwkv26q6asdhz4qg08pm6w3djg3c8m4j , nostr:nprofile1qy2hwumn8ghj7etyv4hzumn0wd68ytnvv9hxgqg7waehxw309anx2etywvhxummnw3ezucnpdejz7ur0wp6kcctjqqspywh6ulgc0w3k6mwum97m7jkvtxh0lcjr77p9jtlc7f0d27wlxpslwvhau , nostr:nprofile1qy88wumn8ghj7mn0wvhxcmmv9uq3vamnwvaz7tmwdaehgu3wd33xgetk9en82m30qqsgqke57uygxl0m8elstq26c4mq2erz3dvdtgxwswwvhdh0xcs04sc4u9p7d , nostr:nprofile1q9z8wumn8ghj7erzx3jkvmmzw4eny6tvw368wdt8da4kxamrdvek76mrwg6rwdngw94k67t3v36k77tev3kx7vn2xa5kjem9dp4hjepwd3hkxctvqyg8wumn8ghj7mn0wd68ytnhd9hx2qpqyaul8k059377u9lsu67de7y637w4jtgeuwcmh5n7788l6xnlnrgssuy4zk , nostr:nprofile1qy28wue69uhnzvpwxqhrqt33xgmn5dfsx5cqz9thwden5te0v4jx2m3wdehhxarj9ekxzmnyqqswavgevxe9gs43vwylumr7h656mu9vxmw4j6qkafc3nefphzpph8ssvcgf8 , and more.

• 🧾 Vendors & Project Booths – Explore new tools and services

• 🔐 Onboarding Stations – Learn how to use Nostr hands-on

• 🐦 Nostrich Flocking – Meet your favorite nyms IRL

• 🍸 Three Full Bars – Two floors of socializing overlooking vibrant Fremont Street

| | | | | ----------- | -------------------- | ------------------- | | Time | Name | Topic | | 7:30-7:50 | Derek | Nostr for Beginners | | 8:00-8:20 | Mark & Paul | Primal | | 8:30-8:50 | Terry | Damus | | 9:00-9:20 | OpenMike and Ainsley | V4V | | 09:30-09:50 | The Space | Space |

This is the after-party of the year for those who love freedom technology and decentralized social community. Don’t miss it.

---

Final Thoughts

Whether you're there to learn, network, party, or build, Bitcoin 2025 in Las Vegas has a packed week of Nostr-friendly programming. Be sure to catch all the events, visit the Nostr Lounge, and experience the growing decentralized social revolution.

🟣 Find us. Flock with us. Purple pill someone.

@ 7bdef7be:784a5805

We value sovereignty, privacy and security when accessing online content, using several tools to achieve this, like open protocols, open OSes, open software products, Tor and VPNs. ## The problem Talking about our social presence, we can manually build up our follower list (social graph), pick a Nostr client that is respectful of our preferences on what to show and how, but with the standard following mechanism, our main feed is public, **so everyone can actually snoop** what we are interested in, and what is supposable that we read daily. ## The solution Nostr has a simple solution for this necessity: encrypted lists. Lists are what they appear, a collection of people or interests (but they can also group much other stuff, see [NIP-51](https://github.com/nostr-protocol/nips/blob/master/51.md)). So we can create lists with contacts that we don't have in our main social graph; these lists can be used primarily to create **dedicated feeds**, but they could have other uses, for example, related to monitoring. The interesting thing about lists is that they can also be **encrypted**, so unlike the basic following list, which is always public, we can hide the lists' content from others. The implications are obvious: we can not only have a more organized way to browse content, but it is also **really private one**. One might wonder what use can really be made of private lists; here are some examples: - Browse “can't miss” content from users I consider a priority; - Supervise competitors or adversarial parts; - Monitor sensible topics (tags); - Following someone without being publicly associated with them, as this may be undesirable; The benefits in terms of privacy as usual are not only related to the casual, or programmatic, observer, but are also evident when we think of **how many bots scan our actions to profile us**. ## The current state Unfortunately, lists are not widely supported by Nostr clients, and encrypted support is a rarity. Often the excuse to not implement them is that they are harder to develop, since they require managing the encryption stuff ([NIP-44](https://github.com/nostr-protocol/nips/blob/master/51.md)). Nevertheless, developers have an easier option to start offering private lists: give the user the possibility to simply **mark them as local-only**, and never push them to the relays. Even if the user misses the sync feature, this is sufficient to create a private environment. To date, as far as I know, the best client with list management is Gossip, which permits to manage **both encrypted and local-only lists**. Beg your Nostr client to implement private lists!

@ cae03c48:2a7d6671

Bitcoin Magazine

JPMorgan To Allow Clients To Buy Bitcoin, Jamie Dimon Says

Today, Chairman and CEO of JPMorgan Chase Jamie Dimon reiterated his personal disapproval of Bitcoin during the bank’s annual Investor Day event. Despite the bank’s decision to provide clients with access to Bitcoin investments, Dimon emphasized his personal disapproval of Bitcoin.

“I am not a fan” of Bitcoin, stated Dimon.

JPMorgan is going to allow clients to buy Bitcoin, but the bank won’t custody it, according to Bloomberg. Dimon made clear that while JPMorgan will provide clients access to Bitcoin investments, the bank will not hold or manage the digital asset directly. 

JUST IN: JPMorgan CEO Jamie Dimon said they will allow clients to buy #Bitcoin pic.twitter.com/wO0djlYGUM

— Bitcoin Magazine (@BitcoinMagazine) May 19, 2025

In a January 2025 interview with CBS News, Dimon expressed continued skepticism toward Bitcoin. “Bitcoin itself has no intrinsic value. It’s used heavily by sex traffickers, money launderers, ransomware,” said Dimon. 

Although he acknowledged, “We are going to have some kind of digital currency at some point,” he added, “I just don’t feel great about bitcoin. I applaud your ability to wanna buy or sell it. Just like I think you have the right to smoke, but I don’t think you should smoke.”

These comments from Dimon contrast with recent optimism from JPMorgan analysts regarding Bitcoin’s market prospects. JPMorgan analysts reported that Bitcoin is likely to continue gaining ground at gold’s expense in the second half of the year, driven by rising corporate demand and growing support from U.S. states.

JUST IN: JPMorgan says #Bitcoin likely to have more upside than gold in the second half of 2025 pic.twitter.com/YPrHivch9O

— Bitcoin Magazine (@BitcoinMagazine) May 15, 2025

“Between mid-February and mid-April gold was rising at the expense of bitcoin, while of the past three weeks we have been observing the opposite, i.e. bitcoin rising at the expense of gold,” said JPMorgan analysts. “In all, we expect the YTD zero sum game between gold and bitcoin to extend to the remainder of the year, but are biased towards crypto-specific catalysts creating more upside for bitcoin over gold into the second half of the year.”

Since April 22, gold has dropped nearly 8%, while Bitcoin has surged 18%, reflecting a notable shift in investor sentiment. Capital has been moving out of gold ETFs and into Bitcoin. Several U.S. states are also warming to Bitcoin—New Hampshire now permits up to 5% of its reserves in Bitcoin, while Arizona is launching a Bitcoin reserve and has pledged not to raise taxes this year. At the corporate level, companies like Strategy and Metaplanet are expanding their Bitcoin holdings.

“As the list grows, with other U.S. states potentially considering adding bitcoin to their strategic reserves, this could turn out to be a more sustained positive catalyst for bitcoin,” said the analysts.

This post JPMorgan To Allow Clients To Buy Bitcoin, Jamie Dimon Says first appeared on Bitcoin Magazine and is written by Oscar Zarraga Perez.

@ 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

@ 57d1a264:69f1fee1

We asked members of the design community to choose an artifact that embodies craft—something that speaks to their understanding of what it means to make with intention. Here’s what they shared.

A vintage puzzle box, a perfectly tuned guitar, an AI-powered poetry camera. A daiquiri mixed with precision. A spreadsheet that still haunts muscle memory. Each artifact tells a story: not just about the thing itself, but about the choices of the creator behind it. What to refine, what to leave raw. When to push forward, when to let go. Whether built to last for generations or designed to delight in a fleeting moment, the common thread is that great craft doesn’t happen by accident. It’s made.

On the application of craft

Even the most experienced makers can benefit from building structure and intention into their practice. From sharpening your storytelling to designing quality products, these pieces offer practical ways to uplevel your craft.

Read more at https://www.figma.com/blog/craft-artifacts/

originally posted at https://stacker.news/items/979644

@ 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.

@ da8b7de1:c0164aee

Németország feladja a nukleáris energiával szembeni ellenállását Franciaországgal való közeledés jegyében

Németország hosszú idő után feladta a nukleáris energiával szembeni ellenállását, ami jelentős lépést jelenthet az EU energiapolitikai vitáinak rendezésében, különösen Franciaországgal szemben. Ez a változás eltávolíthatja a nukleáris energiával szembeni előítéleteket az uniós jogszabályokból, és elősegítheti a közös európai energiapolitika kialakítását[2].

Trump adminisztráció tervezett rendeletei a nukleáris erőművek építésének gyorsítására

Az Egyesült Államokban a Trump-adminisztráció több elnöki rendelet-tervezetet készít elő, amelyek célja a nukleáris erőművek építésének gyorsítása. A tervek szerint a jelenlegi mintegy 100 GW nukleáris kapacitást 2050-re 400 GW-ra növelnék, az engedélyezési folyamatok egyszerűsítésével, a hadsereg szerepének növelésével és a nukleáris üzemanyag-ellátás megerősítésével[3][9].

Tajvan hivatalosan is nukleárismentes lett

1. május 17-én Tajvan utolsó kereskedelmi reaktorát is leállították, ezzel az ország elérte a "nukleárismentes haza" célját. Az energiamixben a nukleáris energia aránya 17%-ról 3%-ra csökkent, miközben a megújuló energia tízszeresére nőtt. Bár a parlamentben vita folyik a Maanshan atomerőmű élettartam-hosszabbításáról, jelenleg Tajvan teljesen leállította a nukleáris energiatermelést[1][6].

Kazatomprom hitelmegállapodást kötött egy új kénsavgyár finanszírozására

Kazahsztán állami atomipari vállalata, a Kazatomprom hitelmegállapodást kötött egy évi 800 000 tonna kapacitású kénsavgyár építésére. A kénsavat az uránkitermeléshez használják, és a gyár 2027 első negyedévében készülhet el. A projekt célja a régió gazdasági fejlődésének támogatása és az uránipar ellátásbiztonságának javítása[4].

Az IAEA segíti Kazahsztánt az első atomerőmű biztonságos helyszínének kiválasztásában

Az IAEA (Nemzetközi Atomenergia-ügynökség) szakértői csapata ötnapos szemináriumot tart Kazahsztánban, hogy segítsen kiválasztani az ország első atomerőművének legbiztonságosabb helyszínét. A folyamatban több helyszín is szóba került, jelenleg a Zhambyl körzet az elsődleges jelölt. A projektben négy lehetséges technológiai partner vesz részt: CNNC (Kína), Roszatom (Oroszország), KHNP (Dél-Korea) és EDF (Franciaország)[8].

India új nukleáris helyszínt hagyott jóvá

Az indiai nukleáris hatóság engedélyezte a Mahi Banswara Rajasthan Atomic Power Project négy blokkjának elhelyezését Rádzsasztán államban. Ez újabb lépés India ambiciózus nukleáris bővítési terveiben[5].

Globális nukleáris ipari konferencia Varsóban

1. május 20-21-én Varsóban rendezik meg az első World Nuclear Supply Chain Conference-t, amely célja a globális nukleáris ellátási lánc megerősítése és a szektor 2 billió dolláros beruházási lehetőségének kiaknázása a következő 15 évben. A konferencián iparági vezetők, döntéshozók és szakértők vesznek részt[7].

---

Hivatkozások

• [1] reccessary.com – Tajvan nukleárismentes lett
• [2] nucnet.org – Németország nukleáris politikai fordulata
• [3] humanprogress.org – Trump rendelettervezetek
• [4] world-nuclear-news.org – Kazatomprom kénsavgyár
• [5] world-nuclear-news.org – India új nukleáris helyszíne
• [6] taiwannews.com.tw – Tajvan atomerőmű leállítása
• [7] world-nuclear.org – Varsói nukleáris konferencia
• [8] astanatimes.com – IAEA-Kazahsztán együttműködés
• [9] esgdive.com – Oklo és Trump engedélyezési reformok

@ 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!

@ a8d1560d:3fec7a08

NIP-XX

Documentation and Wikis with Spaces and Format Declaration

draft optional

Summary

This NIP introduces a system for collaborative documentation and wikis on Nostr. It improves upon earlier efforts by adding namespace-like Spaces, explicit content format declaration, and clearer separation of article types, including redirects and merge requests.

---

Motivation

Previous approaches to wiki-style collaborative content on Nostr had two key limitations:

1. Format instability – No declared format per event led to breaking changes (e.g. a shift from Markdown to Asciidoc).
2. Lack of namespace separation – All articles existed in a global space, causing confusion and collision between unrelated projects.

This NIP addresses both by introducing:

• Spaces – individually defined wikis or documentation sets.
• Explicit per-article format declaration.
• Dedicated event kinds for articles, redirects, merge requests, and space metadata.

---

Specification

kind: 31055 – Space Definition

Defines a project namespace for articles.

Tags: - ["name", "<space title>"] - ["slug", "<short identifier>"] - ["description", "<optional description>"] - ["language", "<ISO language code>"] - ["license", "<license text or SPDX ID>"]

Content: (optional) full description or README for the space.

---

kind: 31056 – Article

An article in a specific format belonging to a defined space.

Tags: - ["space", "<slug>"] - ["title", "<article title>"] - ["format", "markdown" | "asciidoc" | "mediawiki" | "html"] - ["format-version", "<format version>"] (optional) - ["prev", "<event-id>"] (optional) - ["summary", "<short change summary>"] (optional)

Content: full body of the article in the declared format.

---

kind: 31057 – Redirect

Redirects from one article title to another within the same space.

Tags: - ["space", "<slug>"] - ["from", "<old title>"] - ["to", "<new title>"]

Content: empty.

---

kind: 31058 – Merge Request

Proposes a revision to an article without directly altering the original.

Tags: - ["space", "<slug>"] - ["title", "<article title>"] - ["base", "<event-id>"] - ["format", "<format>"] - ["comment", "<short summary>"] (optional)

Content: proposed article content.

---

Format Guidelines

Currently allowed formats: - markdown - asciidoc - mediawiki - html

Clients MUST ignore formats they do not support. Clients MAY apply stricter formatting rules.

---

Client Behavior

Clients: - MUST render only supported formats. - MUST treat space as a case-sensitive namespace. - SHOULD allow filtering, browsing and searching within Spaces. - SHOULD support revision tracking via prev. - MAY support diff/merge tooling for kind: 31058.

---

Examples

Space Definition

json { "kind": 31055, "tags": [ ["name", "Bitcoin Docs"], ["slug", "btc-docs"], ["description", "Developer documentation for Bitcoin tools"], ["language", "en"], ["license", "MIT"] ], "content": "Welcome to the Bitcoin Docs Space." }

Markdown Article

json { "kind": 31056, "tags": [ ["space", "btc-docs"], ["title", "Installation Guide"], ["format", "markdown"] ], "content": "# Installation\n\nFollow these steps to install the software..." }

Asciidoc Article

json { "kind": 31056, "tags": [ ["space", "btc-docs"], ["title", "RPC Reference"], ["format", "asciidoc"] ], "content": "= RPC Reference\n\nThis section describes JSON-RPC calls." }

MediaWiki Article

json { "kind": 31056, "tags": [ ["space", "btc-docs"], ["title", "Block Structure"], ["format", "mediawiki"] ], "content": "== Block Structure ==\n\nThe structure of a Bitcoin block is..." }

Redirect

json { "kind": 31057, "tags": [ ["space", "btc-docs"], ["from", "Getting Started"], ["to", "Installation Guide"] ], "content": "" }

Merge Request

json { "kind": 31058, "tags": [ ["space", "btc-docs"], ["title", "Installation Guide"], ["base", "d72fa1..."], ["format", "markdown"], ["comment", "Added step for testnet"] ], "content": "# Installation\n\nNow includes setup instructions for testnet users." }

---

Acknowledgements

This proposal builds on earlier ideas for decentralized wikis and documentation within Nostr, while solving common issues related to format instability and lack of project separation.

@ 57d1a264:69f1fee1

Shanghai: Bus Stops Here

A new crowd-sourced transit platform allows riders to propose, vote on, and activate new bus lines in as little as three days.

From early-morning school drop-offs to seniors booking rides to the hospital, from suburban commuters seeking a faster link to the metro to families visiting ancestral graves, Shanghai is rolling out a new kind of public bus — one that’s designed by commuters, and launched only when enough riders request it.

Branded “DZ” for dingzhi, or “customized,” the system invites residents to submit proposed routes through a city-run platform. Others with similar travel needs can opt in or vote, and if demand meets the threshold — typically 15 to 20 passengers per trip — the route goes live.

More than 220 DZ routes have already launched across all 16 city districts. Through an online platform opened May 8, users enter start and end points, preferred times, and trip frequency. If approved, routes can begin running in as little as three days.

Continue reading at https://www.sixthtone.com/news/1017072

originally posted at https://stacker.news/items/979637

@ 9be6a199:6e133301

this is the content

@ 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.

@ 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.”

@ 9be6a199:6e133301

this is the content

@ 04c3c1a5:a94cf83d

Testing Testing Testing

This is just a test this is just a test this is just a test This is just a test this is just a test this is just a test This is just a test this is just a test this is just a test This is just a test this is just a test this is just a test This is just a test this is just a test this is just a test This is just a test this is just a test this is just a test This is just a test this is just a test this is just a test

Would love a test

nostr:nprofile1qy2hwumn8ghj7etyv4hzumn0wd68ytnvv9hxgqg7waehxw309anx2etywvhxummnw3ezucnpdejz7ur0wp6kcctjqqspywh6ulgc0w3k6mwum97m7jkvtxh0lcjr77p9jtlc7f0d27wlxpslwvhau

| | | | | ------------------------ | - | - | | Quick'hthbdoiwenweuifier | | | | 1. Little | | |

ghtgehg

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MUCH BETTER

@ cae03c48:2a7d6671

Bitcoin Magazine

Nebraska’s New Mining Rules: Infrastructure Safeguard or Soft Ban in Disguise?

Nebraska lawmakers have just passed Legislative Bill 526 (LB526), and while not explicitly anti-Bitcoin, its effects may be anything but neutral. With a unanimous 49-0 vote, the Legislature sent the bill to Governor Jim Pillen’s desk, where it’s expected to be signed into law. Supporters call it a commonsense infrastructure bill. Bitcoin miners call it a slow-motion exodus in the making.

On paper, LB526 is about large energy users. But in practice, it singles out Bitcoin mining facilities with one megawatt (MW) or greater loads and layers on operational constraints that look more like punishment than policy.

Cost Shifting, Public Shaming, and Curtailment

At the heart of LB526 is a mandate: miners must shoulder the costs of any infrastructure upgrades needed to support their demand. Utilities are empowered to demand direct payments or letters of credit after conducting a “load study.” And while the law pays lip service to “fairness” and non-discrimination, it’s clear who the target is. Bitcoin miners are the only industry named.

Further, mining operators must notify utilities in advance, submit to their interconnection requirements, and, critically, accept interruptible service. That means that when the grid gets tight, it’s miners who go dark first. Voluntary demand response, the hallmark of Bitcoin mining’s grid-friendly posture? Replaced with mandated curtailment and utility discretion.

And the kicker: public disclosure of energy consumption. Utilities must publish annual energy usage for each mining operation. No such requirement exists for other data-heavy sectors — not for cloud computing, not for AI clusters, not for Amazon data centers. Just Bitcoin. It’s not just surveillance, it’s signaling.

The Tax That Wasn’t, and the Costs That Remain

To its credit, the Legislature dropped an earlier provision that would’ve added a 2.5¢/kWh tax on mining. This punitive levy would’ve tacked 50% onto typical industrial rates. That tax would have been an open declaration of hostility. Removing it was necessary. But not sufficient.

Because what remains in LB526 is a less visible, but no less potent deterrent: uncertainty. Miners already operate on razor-thin margins and seek jurisdictions with predictable power costs and clear rules. Instead, Nebraska is offering infrastructure tolls, discretionary curtailment, and regulatory spotlighting.

The Market Responds: Warning Shots from Miners

Industry leaders didn’t stay silent. Marathon Digital Holdings, one of the largest publicly traded mining firms, testified that it had invested nearly $200 million in Nebraska and paid over $6.5 million in taxes, and warned that if LB526 passed, further expansion would likely be scrapped.

Their message was clear: Nebraska had been a pro-mining, pro-growth jurisdiction. But LB526 sends a signal that miners aren’t welcome, or at best, are second-class citizens in the energy economy. As one executive put it, “If the same rules don’t apply to other energy-intensive industries, this isn’t about infrastructure, it’s about discrimination.”

Others warned that mandatory curtailment replaces cooperative grid services with coercion. Bitcoin miners can, and do, offer real-time load shedding that stabilizes grids during peak demand. But that value proposition only works when there’s a market signal. LB526 turns it into a liability.

Politics, Power, and Public Utilities

Senator Mike Jacobson, the bill’s sponsor, insisted LB526 is agnostic toward Bitcoin. “This is about electricity usage,” he said. But that’s hard to square with a bill that surgically targets one user class.

Jacobson pointed to Kearney, where half the city’s power goes to a single mining facility. But rather than view that as an opportunity, a dispatchable industrial customer willing to scale up or down based on grid needs, the Legislature opted for risk aversion and central planning.

And in Nebraska’s public power model, that matters. With every utility publicly owned, the regulatory posture of the state isn’t advisory, it’s existential. There is no retail competition. If Nebraska’s power authorities begin treating Bitcoin miners like unreliable freeloaders rather than willing partners, miners have no recourse. Just the exit.

For now, LB526 awaits only the governor’s signature. Given that LB526 was introduced at the behest of the governor, it is likely to be signed. Once enacted, it will take effect October 1, 2025. Miners have until then to decide: adapt, relocate, or fold.

States like Texas, Wyoming, and North Dakota have gone the opposite direction, offering tax clarity, grid integration, and legal protection. Nebraska, once on that shortlist, may find itself dropping off the radar.

Bitcoin mining doesn’t need handouts. But it does need equal footing. LB526 imposes costs, limits flexibility, and broadcasts suspicion. If the goal was to balance innovation with infrastructure, the execution leaves much to be desired.

Because when one industry is burdened while others are exempted, when voluntary partnerships are replaced with mandates, and when operational data is made public for no clear reason, it’s not hard to see why miners view LB526 not as regulation, but as retaliation.

This is a guest post by Colin Crossman. Opinions expressed are entirely their own and do not necessarily reflect those of BTC, Inc. or Bitcoin Magazine_._

This post Nebraska’s New Mining Rules: Infrastructure Safeguard or Soft Ban in Disguise? first appeared on Bitcoin Magazine and is written by Colin Crossman.

@ a39d19ec:3d88f61e

A state-controlled money supply can influence the development of socialist policies and practices in various ways. Although the relationship is not deterministic, state control over the money supply can contribute to a larger role of the state in the economy and facilitate the implementation of socialist ideals.

Fiscal Policy Capabilities

When the state manages the money supply, it gains the ability to implement fiscal policies that can lead to an expansion of social programs and welfare initiatives. Funding these programs by creating money can enhance the state's influence over the economy and move it closer to a socialist model. The Soviet Union, for instance, had a centralized banking system that enabled the state to fund massive industrialization and social programs, significantly expanding the state's role in the economy.

Wealth Redistribution

Controlling the money supply can also allow the state to influence economic inequality through monetary policies, effectively redistributing wealth and reducing income disparities. By implementing low-interest loans or providing financial assistance to disadvantaged groups, the state can narrow the wealth gap and promote social equality, as seen in many European welfare states.

Central Planning

A state-controlled money supply can contribute to increased central planning, as the state gains more influence over the economy. Central banks, which are state-owned or heavily influenced by the state, play a crucial role in managing the money supply and facilitating central planning. This aligns with socialist principles that advocate for a planned economy where resources are allocated according to social needs rather than market forces.

Incentives for Staff

Staff members working in state institutions responsible for managing the money supply have various incentives to keep the system going. These incentives include job security, professional expertise and reputation, political alignment, regulatory capture, institutional inertia, and legal and administrative barriers. While these factors can differ among individuals, they can collectively contribute to the persistence of a state-controlled money supply system.

In conclusion, a state-controlled money supply can facilitate the development of socialist policies and practices by enabling fiscal policies, wealth redistribution, and central planning. The staff responsible for managing the money supply have diverse incentives to maintain the system, further ensuring its continuation. However, it is essential to note that many factors influence the trajectory of an economic system, and the relationship between state control over the money supply and socialism is not inevitable.

@ 3f68dede:779bb81d

@ 5391098c:74403a0e

(Textículo em prosa erudita sobre a Ideologia Anarco-Capitalista-Cristã)

https://davipinheiro.com/01-escravos-da-cara-inchada/

A cultura #Woke apropriou-se da imagem sobre a #escravidão. Quando uma pessoa aculturada imagina um #escravo, vem em sua mente a imagem de um ser humano negro, magro e flagelado. Para quem enxerga além das cortinas da mentira, vem em sua mente a imagem de um ser humano de qualquer etnia, gordo e doente.

Democracia, péssimo regime de governo assim classificado pelo seu próprio idealizador: Platão em A República, é o grito da hienas de dentes arreganhados para ampliação do regime escravocrata fomentado pelos #GlobalistasSatanistas.

Um escravo da cara inchada é todo aquele ser humano ignorante inconsciente que alimenta esse sistema em troca de intoxicantes como flúor¹, cloro, glutamato monosódico, gordura trans, corantes, conservantes, refrigerantes, bebidas alcoólicas, psicotrópicos e remédios sintomáticos, tudo embrulhado com mentiras reiteradas.

Como consequência, após os 18 anos de idade o corpo do #EscravoDaCaraInchada sucumbe à tamanha intoxicação e passa a inchar, sendo fisicamente perceptível sua condição de escravo da cara inchada tanto à olho nú quando por reconhecimento facial de qualquer pseudo inteligência artificial.

O círculo vicioso da #EscravidaoDemocratica é tão simples e tosco como o “pão e circo romano”, Mesmo assim é muito difícil para o escravo da cara inchada perceber a própria condição tamanha é sua intoxicação física e mental.

Se um Anarco-Capitalista-Cristão (#Ancapcristão) chega para um escravo da cara inchada e explica sobre esses intoxicantes como instrumento de escravização, dificilmente o escravo da cara inchada irá acreditar pois diferentemente do antigo e aposentado chicote, o novo instrumento da escravidão não dói de imediato e os próprios efeitos da intoxicação impedem-no de raciocinar com clareza.

Portanto, para que os #GlobalistasSatanistas obtivessem sucesso na democratização da escravidão, tiveram que criar um chicote químico e uma ideologia favorável. Quanto às etapas utilizadas para formação dessa ideologia no inconsciente coletivo passo a elencar as 6 grandes mentiras em ordem cronológica:

(1ª etapa) Iluminismo: distanciamento de #Deus e seus ensinamentos, criação de sociedades secretas, exacerbação do ser humano perante o criador na tentativa de projetar o ser humano como seu próprio deus, tornando-o responsável sobre os rumos naturais do planeta. Assim formou-se a base ideológica para o materialismo, ambientalismo, feminismo, controle populacional e ideologia de gêneros;

(2ª etapa) Materialismo: perda do propósito espiritual e do sentido da vida², o que passa a importar são apenas as coisas materiais, acima inclusive do próprio ser humano. A perpetuação da espécie também fica em segundo plano. Assim formou-se a base ideológica para o ambientalismo, feminismo, controle populacional e ideologia de gêneros;

(3ª etapa) Ambientalismo: redução do ser humano à mero câncer do planeta superlotado, atribuído-lhe a responsabilidade por qualquer desastre natural. Assim formou-se a base ideológica para o controle populacional e ideologia de gêneros;

(4ª etapa) Feminismo: enfraquecimento do ser humano por meio da sua divisão em duas categorias: macho e fêmea, os quais são inimigos e não cooperadores. A ideia de igualdade de gêneros é tão antagônica que beira ao conflito cognitivo³: Eles querem separar para dizer que são iguais... Ora, como não pode haver diferenças entre os gêneros se eles são fisicamente e mentalmente diferentes? Nesse diapasão, mesmo não sendo os estados nacionais os arquitetos da escravidão democrática e sim meros fantoches dos globalistas satanistas, o voto feminino foi fundamental para aprovação de leis misândricas com o fito de acelerar a destruição da base familiar do escravo da cara inchada. Importante mencionar que a base familiar dos globalistas satanistas continua sendo patriarcal. Assim formou-se a base ideológica para o controle populacional e ideologia de gêneros;

(5ª etapa) Controle Populacional: “Crescei e multiplicai-vos” é o caralho, Deus não sabe de nada (Iluminismo), o que importa é o dinheiro e filho é caro (Materialismo), para que colocar mais um ser humano nesse planeta doente e superlotado (Ambientalismo), além disso o sexo oposto é meu inimigo (Feminismo). Essa é base ideológica que antecede a ideologia de Controle Populacional, ainda reforçada pela apologia à castração, já que em todas as mídias produzidas com patrocínio oculto de capital globalista satanista tentam normalizar a castração do homem (perda da capacidade de reprodução) desde em desenhos infantis até grandes produções cinematográficas, ora em tom de humor ora em tom de tortura. Assim os escravos da cara inchada do sexo masculino perderam sua identidade, essência e desejo de ser o que são, formando-se a base ideológica para o homossexualismo, ou seja, para a ideologia de gêneros.

(6ª etapa) Ideologia de Gêneros: É a cereja do bolo para os planos do Diabo (Anjo invejoso de Deus que quer destruir a maior criação: nós). Enquanto os globalistas satanistas, dentro de sua sábia ignorância, acreditam estarem chefiando a democratização da escravidão, na verdade também não passam de meros fantoches do Anjo Caído. Com a sexta e última etapa de mentiras para extinção da humanidade (#apocalipse) posta em prática através da Ideologia de Gêneros, fecha-se o ciclo vicioso de mentiras que se auto justificam: Se #Deus não presta, o que vale são os bens materiais, o ser humano é um câncer no planeta, o sexo oposto é inimigo e ter filhos é uma péssima ideia e ser homem másculo é crime, então ser #homossexual é a melhor opção, inclusive vamos castrar os meninos antes da puberdade sem o consentimento dos pais ou mães solo. Aqui também há uma grande bifurcação do círculo vicioso de mentiras, qual seja o gritante conflito cognitivo³: Se todos os homens deixarem de ser másculos, quem vai comer os #gays afeminados? Ou se todas as mulheres deixarem de ser femininas, quem as #sapatonas irão comer? E o pior, se todos passem a ser homossexuais quem vai perpetuar a espécie? Seremos extintos no lapso temporal de apenas uma geração, pois a fraudulenta medicina moderna jamais terá a capacidade de gerar bebês de chocadeira à tempo.

É interessante enxergar que mesmo os Globalistas Satanistas, dentro de sua sábia ignorância, acreditando estarem democratizando a escravidão em benefício próprio, na verdade apenas estão fomentando o apocalipse, ou seja sua própria extinção. Também não terão qualquer lugar especial no inferno, sinônimo de mal é mentira. Portanto os #GlobalistaSatanistas são meros fantoches do #Diabo enganador, tão submissos quanto o Escravo da Cara Inchada…

Interessante também enxergar que o livre arbítrio é uma condição obrigatória para independência da criação (anjo e ser humano). Todos somos livres para escolher entre o bem e o mal, se iremos ser escravos de #Deus ou escravos do Diabo. Se assim não fosse, inexistiria criação pois seríamos mera extensão da consciência do #Criador, em outras palavras: para que exista uma criação, essa deve ter a capacidade de decisão de forma independente, o chamado livre arbítrio.

Com base nisso, temos que não cabe à nos fazer qualquer revolução, tudo está normal, a luta entre o bem e o mal sempre irá existir pois um não existe sem o outro. Nos cabe apenas escolher o lado. Nesse contexto, tenho a seguinte mensagem destinada à você para encerrar o presente Textículo Anarco-Capitalista-Cristão:

------ > Se você for um ANARCO-CAPITALISTA-CRISTÃO passe esta palavra à diante para que a verdade atinja o maior número de ignorantes inconscientes possível;

------ > Se você for um GLOBALISTA SATANISTA, vai viver sua vida, desfrutar da própria fortuna e pare de ser fantoche o Diabo, mentiram para você: não terá qualquer lugar especial quando morrer;

------ > Se você for um ESCRAVO DA CARA INCHADA e não entendeu o que eu disse, por favor me pergunte ou debata comigo, terei o prazer em lhe ajudar a enxergar a verdade. Pare de trabalhar por dinheiro fiduciário, passe a aceitar #Monero e #Bitcoin em troca do seu trabalho, pois isso é o único jeito de sermos financeiramente livres, se tiver alguma dúvida sobre #criptomoedas me pergunte e terei o prazer e ensinar. Se ainda assim você se recusa a enxergar a verdade exposta aqui, por favor aceite #Monero e #Bitcoin quando for dar o seu cú. Ou melhor, cometa suicídio, já que você é um câncer no planeta, salve a natureza.

(Davi Pinheiro)

¹ - https://davipinheiro.com/teoria-da-conspiracao-o-fluor-na-agua-e-usado-para-controlar-mentes-revista-super-interessante-editora-abril/

² - https://davipinheiro.com/qual-o-sentido-da-vida/

³ - https://davipinheiro.com/entendendo-as-referencias-cruzadas-do-pensamento/

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@ cae03c48:2a7d6671

Bitcoin Magazine

Fold Unveils Bitcoin Gift Card, Pioneering Bitcoin in U.S. Retail Gift Card Market

Fold, a leading Bitcoin financial services company, recently announced the launch of its Bitcoin Gift Card, marking the first step in integrating Bitcoin into the $300 billion U.S. retail gift card market. This innovative product enables consumers to purchase and gift bitcoin through familiar retail channels, is available now at Fold’s website and is expected to expand to major retailers nationwide throughout the year.

The Fold Bitcoin Gift Card allows users to acquire bitcoin for personal savings or as a gift, redeemable via the Fold app. “Once you buy that gift card, you can give it to someone or use it yourself. You open the Fold app, and your bitcoin appears,” said Will Reeves, Chairman and CEO of Fold, in an interview with Bitcoin Magazine. Available initially at the Fold website, the product will soon reach physical and online retail shelves, bringing Bitcoin to everyday shopping experiences.

This launch positions Fold as a trailblazer in making Bitcoin accessible through gift cards, the most popular gift in America.

“We’re now talking about Bitcoin gift cards on sale on the racks of the largest retailers in the country. You can pick up Bitcoin at the checkout line, buy it for yourself, or share it as a gift,” Reeves told Bitcoin Magazine. 

The gift card, a white Bitcoin “B,” adorned by vibrant orange, taps into the retail market’s demand for alternative assets, following the success of Costco’s $200 million monthly gold sales.

Fold’s partnership with Totus, a gift card issuance provider, enables distribution through over 150,000 points of sale nationwide.

“In our announcement, we reference one of our partners who has direct distribution into all primary retailers in the country,” Reeves said. While specific retailer names will be revealed later, Fold plans to expand throughout 2025, ensuring Bitcoin’s presence in stores like grocery chains and gas stations. “Throughout the rest of this year, we’ll announce distribution partners, including some of the largest retailers in the US,” Reeves added.

The Bitcoin Gift Card targets millions of Americans curious about Bitcoin but hesitant to navigate apps or exchanges.

“This gift card gives us distribution directly to millions of Americans who may not be buying Bitcoin because they haven’t downloaded a new app, don’t have a brokerage account, or haven’t seen the ETF,” Reeves explained. By leveraging trusted retail channels, Fold is opening a new avenue for Bitcoin adoption.

Since 2019, Fold has empowered over 600,000 users with Bitcoin-based financial tools, holding over 1,485 Bitcoin in its treasury.

“I think there’s a real chance by the end of 2025 that Bitcoin becomes the most popular gift in America because of this card,” Reeves predicted.

This post Fold Unveils Bitcoin Gift Card, Pioneering Bitcoin in U.S. Retail Gift Card Market first appeared on Bitcoin Magazine and is written by Juan Galt.

@ a39d19ec:3d88f61e

This week's functional 3d print is the "Dino Clip".

Dino Clip

I printed it some years ago for my son, so he would have his own clip for cereal bags.

Now it is used to hold a bag of dog food close.

The design by "Sneaks" is a so called "print in place". This means that the whole clip with moving parts is printed in one part, without the need for assembly after the print. The clip is very strong, and I would print it again if I need a "heavy duty" clip for more rigid or big bags. Link to the file at Printables

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@ 3f68dede:779bb81d

testing schedule

@ 57d1a264:69f1fee1

You don’t have to be a type designer to appreciate what goes into the design of a letterform. In fact, even if you’re just a humble graphic designer, you should have a basic knowledge of what constructs the type you employ.

Typography, for all its concepts, expectations, implications, connotations and artistry, is, ultimately, a system. Just like a body has bones and muscles, every letterform has parts that give it shape, rhythm, and character.

If you're a creative working with type, learning the names of these parts helps you communicate clearly, better analyze your work and others, and design with precision. Everything comes down to a foundational understanding of the anatomy of the letterform and its essential component. So let’s help you with that.

Pangram Pangram Foundry is where the art of typography meets unparalleled craftsmanship. Established in 2018 by designer Mat Desjardins, Pangram Pangram has swiftly risen to become a globally recognized independent type foundry, admired and trusted by industry peers and the design community alike.

Read more about the anatomy of fonts at https://pangrampangram.com/blogs/journal/anatomy-of-the-letterform

originally posted at https://stacker.news/items/978828

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testing schedule

@ a367f9eb:0633efea

Last week, an investigation by Reuters revealed that Chinese researchers have been using open-source AI tools to build nefarious-sounding models that may have some military application.

The reporting purports that adversaries in the Chinese Communist Party and its military wing are taking advantage of the liberal software licensing of American innovations in the AI space, which could someday have capabilities to presumably harm the United States.

In a June paper reviewed by Reuters, six Chinese researchers from three institutions, including two under the People’s Liberation Army’s (PLA) leading research body, the Academy of Military Science (AMS), detailed how they had used an early version of Meta’s Llama as a base for what it calls “ChatBIT”.

The researchers used an earlier Llama 13B large language model (LLM) from Meta, incorporating their own parameters to construct a military-focused AI tool to gather and process intelligence, and offer accurate and reliable information for operational decision-making.

While I’m doubtful that today’s existing chatbot-like tools will be the ultimate battlefield for a new geopolitical war (queue up the computer-simulated war from the Star Trek episode “A Taste of Armageddon“), this recent exposé requires us to revisit why large language models are released as open-source code in the first place.

Added to that, should it matter that an adversary is having a poke around and may ultimately use them for some purpose we may not like, whether that be China, Russia, North Korea, or Iran?

The number of open-source AI LLMs continues to grow each day, with projects like Vicuna, LLaMA, BLOOMB, Falcon, and Mistral available for download. In fact, there are over one million open-source LLMs available as of writing this post. With some decent hardware, every global citizen can download these codebases and run them on their computer.

With regard to this specific story, we could assume it to be a selective leak by a competitor of Meta which created the LLaMA model, intended to harm its reputation among those with cybersecurity and national security credentials. There are potentially trillions of dollars on the line.

Or it could be the revelation of something more sinister happening in the military-sponsored labs of Chinese hackers who have already been caught attacking American infrastructure, data, and yes, your credit history?

As consumer advocates who believe in the necessity of liberal democracies to safeguard our liberties against authoritarianism, we should absolutely remain skeptical when it comes to the communist regime in Beijing. We’ve written as much many times.

At the same time, however, we should not subrogate our own critical thinking and principles because it suits a convenient narrative.

Consumers of all stripes deserve technological freedom, and innovators should be free to provide that to us. And open-source software has provided the very foundations for all of this.

Open-source matters When we discuss open-source software and code, what we’re really talking about is the ability for people other than the creators to use it.

The various licensing schemes – ranging from GNU General Public License (GPL) to the MIT License and various public domain classifications – determine whether other people can use the code, edit it to their liking, and run it on their machine. Some licenses even allow you to monetize the modifications you’ve made.

While many different types of software will be fully licensed and made proprietary, restricting or even penalizing those who attempt to use it on their own, many developers have created software intended to be released to the public. This allows multiple contributors to add to the codebase and to make changes to improve it for public benefit.

Open-source software matters because anyone, anywhere can download and run the code on their own. They can also modify it, edit it, and tailor it to their specific need. The code is intended to be shared and built upon not because of some altruistic belief, but rather to make it accessible for everyone and create a broad base. This is how we create standards for technologies that provide the ground floor for further tinkering to deliver value to consumers.

Open-source libraries create the building blocks that decrease the hassle and cost of building a new web platform, smartphone, or even a computer language. They distribute common code that can be built upon, assuring interoperability and setting standards for all of our devices and technologies to talk to each other.

I am myself a proponent of open-source software. The server I run in my home has dozens of dockerized applications sourced directly from open-source contributors on GitHub and DockerHub. When there are versions or adaptations that I don’t like, I can pick and choose which I prefer. I can even make comments or add edits if I’ve found a better way for them to run.

Whether you know it or not, many of you run the Linux operating system as the base for your Macbook or any other computer and use all kinds of web tools that have active repositories forked or modified by open-source contributors online. This code is auditable by everyone and can be scrutinized or reviewed by whoever wants to (even AI bots).

This is the same software that runs your airlines, powers the farms that deliver your food, and supports the entire global monetary system. The code of the first decentralized cryptocurrency Bitcoin is also open-source, which has allowed thousands of copycat protocols that have revolutionized how we view money.

You know what else is open-source and available for everyone to use, modify, and build upon?

PHP, Mozilla Firefox, LibreOffice, MySQL, Python, Git, Docker, and WordPress. All protocols and languages that power the web. Friend or foe alike, anyone can download these pieces of software and run them how they see fit.

Open-source code is speech, and it is knowledge.

We build upon it to make information and technology accessible. Attempts to curb open-source, therefore, amount to restricting speech and knowledge.

Open-source is for your friends, and enemies In the context of Artificial Intelligence, many different developers and companies have chosen to take their large language models and make them available via an open-source license.

At this very moment, you can click on over to Hugging Face, download an AI model, and build a chatbot or scripting machine suited to your needs. All for free (as long as you have the power and bandwidth).

Thousands of companies in the AI sector are doing this at this very moment, discovering ways of building on top of open-source models to develop new apps, tools, and services to offer to companies and individuals. It’s how many different applications are coming to life and thousands more jobs are being created.

We know this can be useful to friends, but what about enemies?

As the AI wars heat up between liberal democracies like the US, the UK, and (sluggishly) the European Union, we know that authoritarian adversaries like the CCP and Russia are building their own applications.

The fear that China will use open-source US models to create some kind of military application is a clear and present danger for many political and national security researchers, as well as politicians.

A bipartisan group of US House lawmakers want to put export controls on AI models, as well as block foreign access to US cloud servers that may be hosting AI software.

If this seems familiar, we should also remember that the US government once classified cryptography and encryption as “munitions” that could not be exported to other countries (see The Crypto Wars). Many of the arguments we hear today were invoked by some of the same people as back then.

Now, encryption protocols are the gold standard for many different banking and web services, messaging, and all kinds of electronic communication. We expect our friends to use it, and our foes as well. Because code is knowledge and speech, we know how to evaluate it and respond if we need to.

Regardless of who uses open-source AI, this is how we should view it today. These are merely tools that people will use for good or ill. It’s up to governments to determine how best to stop illiberal or nefarious uses that harm us, rather than try to outlaw or restrict building of free and open software in the first place.

Limiting open-source threatens our own advancement If we set out to restrict and limit our ability to create and share open-source code, no matter who uses it, that would be tantamount to imposing censorship. There must be another way.

If there is a “Hundred Year Marathon” between the United States and liberal democracies on one side and autocracies like the Chinese Communist Party on the other, this is not something that will be won or lost based on software licenses. We need as much competition as possible.

The Chinese military has been building up its capabilities with trillions of dollars’ worth of investments that span far beyond AI chatbots and skip logic protocols.

The theft of intellectual property at factories in Shenzhen, or in US courts by third-party litigation funding coming from China, is very real and will have serious economic consequences. It may even change the balance of power if our economies and countries turn to war footing.

But these are separate issues from the ability of free people to create and share open-source code which we can all benefit from. In fact, if we want to continue our way our life and continue to add to global productivity and growth, it’s demanded that we defend open-source.

If liberal democracies want to compete with our global adversaries, it will not be done by reducing the freedoms of citizens in our own countries.

Last week, an investigation by Reuters revealed that Chinese researchers have been using open-source AI tools to build nefarious-sounding models that may have some military application.

The reporting purports that adversaries in the Chinese Communist Party and its military wing are taking advantage of the liberal software licensing of American innovations in the AI space, which could someday have capabilities to presumably harm the United States.

In a June paper reviewed by Reuters, six Chinese researchers from three institutions, including two under the People’s Liberation Army’s (PLA) leading research body, the Academy of Military Science (AMS), detailed how they had used an early version of Meta’s Llama as a base for what it calls “ChatBIT”.

The researchers used an earlier Llama 13B large language model (LLM) from Meta, incorporating their own parameters to construct a military-focused AI tool to gather and process intelligence, and offer accurate and reliable information for operational decision-making.

While I’m doubtful that today’s existing chatbot-like tools will be the ultimate battlefield for a new geopolitical war (queue up the computer-simulated war from the Star Trek episode “A Taste of Armageddon“), this recent exposé requires us to revisit why large language models are released as open-source code in the first place.

Added to that, should it matter that an adversary is having a poke around and may ultimately use them for some purpose we may not like, whether that be China, Russia, North Korea, or Iran?

The number of open-source AI LLMs continues to grow each day, with projects like Vicuna, LLaMA, BLOOMB, Falcon, and Mistral available for download. In fact, there are over one million open-source LLMs available as of writing this post. With some decent hardware, every global citizen can download these codebases and run them on their computer.

With regard to this specific story, we could assume it to be a selective leak by a competitor of Meta which created the LLaMA model, intended to harm its reputation among those with cybersecurity and national security credentials. There are potentially trillions of dollars on the line.

Or it could be the revelation of something more sinister happening in the military-sponsored labs of Chinese hackers who have already been caught attacking American infrastructure, data, and yes, your credit history?

As consumer advocates who believe in the necessity of liberal democracies to safeguard our liberties against authoritarianism, we should absolutely remain skeptical when it comes to the communist regime in Beijing. We’ve written as much many times.

At the same time, however, we should not subrogate our own critical thinking and principles because it suits a convenient narrative.

Consumers of all stripes deserve technological freedom, and innovators should be free to provide that to us. And open-source software has provided the very foundations for all of this.

Open-source matters

When we discuss open-source software and code, what we’re really talking about is the ability for people other than the creators to use it.

The various licensing schemes – ranging from GNU General Public License (GPL) to the MIT License and various public domain classifications – determine whether other people can use the code, edit it to their liking, and run it on their machine. Some licenses even allow you to monetize the modifications you’ve made.

While many different types of software will be fully licensed and made proprietary, restricting or even penalizing those who attempt to use it on their own, many developers have created software intended to be released to the public. This allows multiple contributors to add to the codebase and to make changes to improve it for public benefit.

Open-source software matters because anyone, anywhere can download and run the code on their own. They can also modify it, edit it, and tailor it to their specific need. The code is intended to be shared and built upon not because of some altruistic belief, but rather to make it accessible for everyone and create a broad base. This is how we create standards for technologies that provide the ground floor for further tinkering to deliver value to consumers.

Open-source libraries create the building blocks that decrease the hassle and cost of building a new web platform, smartphone, or even a computer language. They distribute common code that can be built upon, assuring interoperability and setting standards for all of our devices and technologies to talk to each other.

I am myself a proponent of open-source software. The server I run in my home has dozens of dockerized applications sourced directly from open-source contributors on GitHub and DockerHub. When there are versions or adaptations that I don’t like, I can pick and choose which I prefer. I can even make comments or add edits if I’ve found a better way for them to run.

Whether you know it or not, many of you run the Linux operating system as the base for your Macbook or any other computer and use all kinds of web tools that have active repositories forked or modified by open-source contributors online. This code is auditable by everyone and can be scrutinized or reviewed by whoever wants to (even AI bots).

This is the same software that runs your airlines, powers the farms that deliver your food, and supports the entire global monetary system. The code of the first decentralized cryptocurrency Bitcoin is also open-source, which has allowed thousands of copycat protocols that have revolutionized how we view money.

You know what else is open-source and available for everyone to use, modify, and build upon?

PHP, Mozilla Firefox, LibreOffice, MySQL, Python, Git, Docker, and WordPress. All protocols and languages that power the web. Friend or foe alike, anyone can download these pieces of software and run them how they see fit.

Open-source code is speech, and it is knowledge.

We build upon it to make information and technology accessible. Attempts to curb open-source, therefore, amount to restricting speech and knowledge.

Open-source is for your friends, and enemies

In the context of Artificial Intelligence, many different developers and companies have chosen to take their large language models and make them available via an open-source license.

At this very moment, you can click on over to Hugging Face, download an AI model, and build a chatbot or scripting machine suited to your needs. All for free (as long as you have the power and bandwidth).

Thousands of companies in the AI sector are doing this at this very moment, discovering ways of building on top of open-source models to develop new apps, tools, and services to offer to companies and individuals. It’s how many different applications are coming to life and thousands more jobs are being created.

We know this can be useful to friends, but what about enemies?

As the AI wars heat up between liberal democracies like the US, the UK, and (sluggishly) the European Union, we know that authoritarian adversaries like the CCP and Russia are building their own applications.

The fear that China will use open-source US models to create some kind of military application is a clear and present danger for many political and national security researchers, as well as politicians.

A bipartisan group of US House lawmakers want to put export controls on AI models, as well as block foreign access to US cloud servers that may be hosting AI software.

If this seems familiar, we should also remember that the US government once classified cryptography and encryption as “munitions” that could not be exported to other countries (see The Crypto Wars). Many of the arguments we hear today were invoked by some of the same people as back then.

Now, encryption protocols are the gold standard for many different banking and web services, messaging, and all kinds of electronic communication. We expect our friends to use it, and our foes as well. Because code is knowledge and speech, we know how to evaluate it and respond if we need to.

Regardless of who uses open-source AI, this is how we should view it today. These are merely tools that people will use for good or ill. It’s up to governments to determine how best to stop illiberal or nefarious uses that harm us, rather than try to outlaw or restrict building of free and open software in the first place.

Limiting open-source threatens our own advancement

If we set out to restrict and limit our ability to create and share open-source code, no matter who uses it, that would be tantamount to imposing censorship. There must be another way.

If there is a “Hundred Year Marathon” between the United States and liberal democracies on one side and autocracies like the Chinese Communist Party on the other, this is not something that will be won or lost based on software licenses. We need as much competition as possible.

The Chinese military has been building up its capabilities with trillions of dollars’ worth of investments that span far beyond AI chatbots and skip logic protocols.

The theft of intellectual property at factories in Shenzhen, or in US courts by third-party litigation funding coming from China, is very real and will have serious economic consequences. It may even change the balance of power if our economies and countries turn to war footing.

But these are separate issues from the ability of free people to create and share open-source code which we can all benefit from. In fact, if we want to continue our way our life and continue to add to global productivity and growth, it’s demanded that we defend open-source.

If liberal democracies want to compete with our global adversaries, it will not be done by reducing the freedoms of citizens in our own countries.

Originally published on the website of the Consumer Choice Center.

@ 57d1a264:69f1fee1

Steve Jobs sent me an email saying “Great idea, thank you."

Wait, what? What was the great idea?

new guy at NeXT In October of 1991, I was a new Systems Engineer at NeXT. NeXT, of course, was the company Steve Jobs had founded after leaving Apple in 1985, and which eventually merged back into Apple in 1996. I was one of three employees in Canada, and I think NeXT had about 400 people total.

NeXTMail Mail on the NeXT Computer was pretty amazing in 1991. Multimedia! Fonts! Attachments! Sounds! It’s hard to overstate how cool that was compared to the command line email everybody was used to. Every NeXT user got this email from Steve when they started up their computer.

That message included an attachment of what NeXT called Lip Service, the crazy idea that you could embed an audio file inside an email message. Crazy.

i have an idea

NeXT automatically set everybody up with a first-initial last-name address in the usual way, so I was shayman@next.com, and the big guy was sjobs@next.com.

A few colleagues had somehow acquired cooler email aliases - single letter things, or their first name, or a nickname or an easier to spell version, or whatever. Turns out NeXT had set up some sort of form where you could request an email alias that would redirect to whatever your real email address was.

I also noticed that even though there were seven or eight people at NeXT named Steve, nobody was using the email alias steve@next.com.

So late one Friday night, two weeks into the job, I figured, naively, what the heck, nobody else seems to want it, so I filled in the form asking for steve@next.com to be forwarded to me, shayman@next.com.

In the back of my mind was a vague idea that maybe somebody would have to approve this. But no, it all got set up automatically, and …

Continue reading at https://blog.hayman.net/2025/05/06/from-steve-jobs-great-idea.html

originally posted at https://stacker.news/items/978825

@ 3f68dede:779bb81d

testing

@ 3f68dede:779bb81d

testing schedule

@ eabee230:17fc7576

⚖️ຢ່າລືມສິ່ງທີ່ເຄີຍເກີດຂຶ້ນ ຮອດຊ່ວງທີ່ມີການປ່ຽນແປງລະບົບການເງິນຈາກລະບົບເງິນເກົ່າ ສູ່ລະບົບເງິນໃໝ່ມັນເຮັດໃຫ້ຄົນທີ່ລວຍກາຍເປັນຄົນທຸກໄດ້ເລີຍ ນ້ຳພັກນ້ຳແຮງທີ່ສະສົມມາດ້ວຍຄວາມເມື່ອຍແຕ່ບໍ່ສາມາດແລກເປັນເງິນລະບົບໃໝ່ໄດ້ທັງໝົດ ຖືກຈຳກັດຈຳນວນທີ່ກົດໝາຍວາງອອກມາໃຫ້ແລກ ເງິນທີ່ເຫຼືອນັ້ນປຽບຄືດັ່ງເສດເຈ້ຍ ເພາະມັນບໍ່ມີຢູ່ໃສຮັບອີກຕໍ່ໄປເພາະກົດໝາຍຈະນຳໃຊ້ສະກຸນໃໝ່ ປະຫວັດສາດເຮົາມີໃຫ້ເຫັນວ່າ ແລະ ເຄີຍຜ່ານມາແລ້ວຢ່າໃຫ້ຄົນລຸ້ນເຮົາຊຳ້ຮອຍເກົ່າ.

🕰️ຄົນທີ່ມີຄວາມຮູ້ ຫຼື ໃກ້ຊິດກັບແຫຼ່ງຂໍ້ມູນຂ່າວສານກໍຈະປ່ຽນເງິນທີ່ມີຢູ່ເປັນສິນສັບບໍ່ວ່າຈະເປັນທີ່ດິນ ແລະ ທອງຄຳທີ່ສາມາດຮັກສາມູນລະຄ່າໄດ້ເຮັດໃຫ້ເຂົາຍັງຮັກສາຄວາມມັ້ງຄັ້ງໃນລະບົບໃໝ່ໄດ້.

🕰️ໃຜທີ່ຕ້ອງການຈະຍ້າຍປະເທດກໍ່ຈະໃຊ້ສິ່ງທີ່ເປັນຊື່ກາງໃນການແລກປ່ຽນເປັນທີ່ຍ້ອມຮັບຫຼາຍນັ້ນກໍຄືທອງຄຳ ປ່ຽນຈາກເງິນລະບົບເກົ່າເປັນທອງຄຳເພື່ອທີ່ສາມາດປ່ຽນທອງຄຳເປັນສະກຸນເງິນທ້ອງຖິ່ນຢູ່ປະເທດປາຍທາງໄດ້.

🕰️ຈາກຜູ້ດີເມື່ອກ່ອນກາຍເປັນຄົນທຳມະດາຍ້ອນສັບສິນທີ່ມີ ບໍ່ສາມາດສົ່ງຕໍ່ສູ່ລູກຫຼານໄດ້. ການເກັບອອມເປັນສິ່ງທີ່ດີ ແຕ່ຖ້າໃຫ້ດີຕ້ອງເກັບອອມໃຫ້ຖືກບ່ອນ ຄົນທີ່ຮູ້ທັນປ່ຽນເງິນທີ່ມີຈາກລະບົບເກົ່າໄປສູ່ທອງຄຳ ເພາະທອງຄຳມັນເປັນສາກົນ.
ໃຜທີ່ເຂົ້າໃຈ ແລະ ມອງການໄກກວ່າກໍ່ສາມາດຮັກສາສິນສັບສູ່ລູກຫຼານໄດ້ ເກັບເຈ້ຍໃນປະລິມານທີ່ພໍໃຊ້ຈ່າຍ ປ່ຽນເຈ້ຍໃຫ້ເປັນສິ່ງທີ່ຮັກສາມູນລະຄ່າໄດ້ແທ້ຈິງ.

🕰️ເຮົາໂຊກດີທີ່ເຄີຍມີບົດຮຽນມາແລ້ວ ເກີດຂຶ້ນຈິງໃນປະເທດເຮົາບໍ່ໄດ້ຢາກໃຫ້ທັງໝົດແຕ່ຢາກໃຫ້ສຶກສາ ແລະ ຕັ້ງຄຳຖາມວ່າທີ່ຜ່ານມາມັນເປັນແບບນີ້ແທ້ບໍ່ ເງິນທີ່ລັດຄວາມຄຸມ ເງິນປະລິມານບໍ່ຈຳກັດ ການໃຊ້ກົດໝາຍແບບບັງຄັບ. ຖ້າຄອບຄົວຫຼືຄົນໃກ້ໂຕທີ່ຍູ່ໃນຊ່ວງເຫດການນັ້ນແຕ່ຕັດສິນໃຈຜິດພາດທີ່ບໍ່ປ່ຽນເຈ້ຍເປັນສິນສັບ. ນີ້ແມ່ນໂອກາດທີ່ຈະແກ້ໄຂຂໍ້ຜິດພາດນັ້ນໂດຍຫັນມາສຶກສາເງິນແທ້ຈິງແລ້ວແມ່ນຍັງກັນແທ້ ເວລາມີຄ່າສຶກສາບິດຄອຍ.

fiatcurrency #bitcoin #gold #history #paymentsolutions #laokip #laostr

@ 57d1a264:69f1fee1

Past week summary

From a Self Custody for Organizations perspective, after analyzing the existing protocols (Cerberus, 10xSecurityBTCguide and Glacier) and reading a bunch of relates articles and guides, have wrapped to the conclusion that this format it is good to have as reference. However, something else is needed. For example, a summary or a map of the whole process to provide an overview, plus a way to deliver all the information and the multy-process in a more enjoyable way. Not a job for this hackathon, but with the right collaborations I assume it's possible to: - build something that might introduce a bit more quests and gamification - provide a learning environment (with testnet funds) could also be crucial on educating those unfamiliar with bitcoin onchain dynamics.

Have been learning more and playing around practicing best accessibility practices and how it could be applied to a desktop software like Bitcoin Safe. Thanks to @johnjherzog for providing a screen recording of his first experience and @jasonb for suggesting the tools to be used. (in this case tested/testing on Windows with the Accessibility Insights app). Some insight shared have been also applied to the website, running a full accessibility check (under WCAG 2.2 ADA, and Section 508 standards) with 4 different plugins and two online tools. I recognize that not all of them works and analyze the same parameters, indeed they complement each other providing a more accurate review.

For Bitcoin Safe interface improvements, many suggestions have been shared with @andreasgriffin , including: - a new iconset, including a micro-set to display the number of confirmed blocs for each transaction - a redesigned History/Dashboard - small refinements like adding missing columns on the tables - allow the user to select which columns to be displayed - sorting of unconfirmed transactions - Defining a new style for design elements like mempool blocks and quick receive boxes You can find below some screenshots with my proposals that hopefully will be included in the next release.

Last achievement this week was to prepare the website https://Safe.BTC.pub, the container where all the outcomes f this experiment will be published. You can have a look, just consider it still WIP. Branding for the project has also been finalized and available in this penpot file https://design.penpot.app/#/workspace?team-id=cec80257-5021-8137-8005-eab60c043dd6&project-id=cec80257-5021-8137-8005-eab60c043dd8&file-id=95aea877-d515-80ac-8006-23a251886db3&page-id=132f519a-39f4-80db-8006-2a41c364a545

What's for next week

After spending most of the time learning and reading material, this coming week will be focused on deliverables. The goal as planned will be to provide: - Finalized Safe₿its brand and improve overall desktop app experience, including categorization of transactions and addresses - An accessibility report or guide for Bitcoin Safe and support to implement best practices - A first draft of the Self-Custody for Organizations guide/framework/protocol, ideally delivered through the website http://Safe.BTC.pub in written format, but also as FlowChart to help have an overview of the whole resources needed and the process itself. This will clearly define preparations and tools/hardwares needed to successfully complete the process.

To learn more about the project, you can visit: Designathon website: https://event.bitcoin.design/#project-recj4SVNLLkuWHpKq Discord channel: https://discord.com/channels/903125802726596648/1369200271632236574 Previous SN posts: https://stacker.news/items/974489/r/DeSign_r and https://stacker.news/items/974488/r/DeSign_r

Stay tuned, more will be happening this coming week

originally posted at https://stacker.news/items/977190

@ 09fbf8f3:fa3d60f0

> ### 第三方API合集：

免责申明:

在此推荐的 OpenAI API Key 由第三方代理商提供，所以我们不对 API Key 的 有效性 和 安全性 负责，请你自行承担购买和使用 API Key 的风险。

| 服务商 | 特性说明 | Proxy 代理地址 | 链接 | | --- | --- | --- | --- | | AiHubMix | 使用 OpenAI 企业接口，全站模型价格为官方 86 折（含 GPT-4 ）| https://aihubmix.com/v1 | 官网 | | OpenAI-HK | OpenAI的API官方计费模式为，按每次API请求内容和返回内容tokens长度来定价。每个模型具有不同的计价方式，以每1,000个tokens消耗为单位定价。其中1,000个tokens约为750个英文单词（约400汉字）| https://api.openai-hk.com/ | 官网 | | CloseAI | CloseAI是国内规模最大的商用级OpenAI代理平台，也是国内第一家专业OpenAI中转服务，定位于企业级商用需求，面向企业客户的线上服务提供高质量稳定的官方OpenAI API 中转代理，是百余家企业和多家科研机构的专用合作平台。 | https://api.openai-proxy.org | 官网 | | OpenAI-SB | 需要配合Telegram 获取api key | https://api.openai-sb.com | 官网 |

持续更新。。。

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@ 79008e78:dfac9395

Keys and Addresses

อลิซต้องการจ่ายเงินให้กับบ๊อบแต่โหนดของบิตคอยน์ในระบบหลายพันโหนดจะตรวจสอบธุรกรรมของเธอ โดยไม่รู้ว่าอลิซหรือบ๊อบเป็นใคร ละเราต้องการรักษาความเป็นส่วนตัวของพวกเขาไว้เช่นนี้ อลิซจำเป็นต้องสื่อสารว่าบ๊อบควรได้รับบิตคอยน์บางส่วนของเธอโดยไม่เชื่อมโยงแง่มุมใด ๆ ของธุรกรรมนั้นกับตัวตนในโลกจริงของบ๊อบ หรือกับการชำระเงินด้วยบิตคอยน์ครั้งอื่น ๆ ที่บ๊อบได้รับ อลิซใช้ต้องทำให้มั่นใจว่ามีเพียแค่บ๊อบเท่านั้นที่สามารถใช้จ่ายบิตคอยน์ที่เขาได้รับต่อไปได้

ในบิตคอยน์ไวท์เปเปอร์ได้อธิบายถึงแผนการที่เรียบง่ายมากสำหรับการบรรลุเป้าหมายเหล่านั้น ดังที่แสดงในรูปด้านล่างนี้

ตัวของผู้รับอย่างบ๊อบเองจะได้รับบิตคอยน์ไปยัง public key ของเขาที่ถูกลงนามโดยผู้จ่ายอย่างอลิซ โดยบิตคอยน์ที่อลิซนำมาจ่ายนั้นก็ได้รับมาจากที่ใครสักคนส่งมาที่ public key ของเธอ และเธอก็ใช้ private key ของเธอในการลงนามเพื่อสร้างลายเซ็นของเธอและโหนดต่าง ๆ ของบิตคอยน์จะทำการตรวจสอบว่าลายเซ็นของอลิซผูกมัดกับเอาต์พุตของฟังก์ชันแฮชซึ่งตัวมันเองผูกมัดกับ public key ของบ๊อบและรายละเอียดธุรกรรมอื่นๆ

ในบทนี้เราจะพิจารณาpublic key private key Digital signatrue และ hash function จากนั้นใช้ทั้งหมดนี้ร่วมกันเพื่ออธิบาย address ที่ใช้โดยซอฟต์แวร์บิตคอยน์สมัยใหม่

Public Key Cryptography (การเข้ารหัสของ public key)

ระบบเข้ารหัสของ public key ถูกคิดค้นขึ้นในทศวรรษ 1970 มาจากรากฐานทางคณิตศาสตร์สำหรับความปลอดภัยของคอมพิวเตอร์และข้อมูลสมัยใหม่

นับตั้งแต่การคิดค้นระบบเข้ารหัส public key ได้มีการค้นพบฟังก์ชันทางคณิตศาสตร์ที่เหมาะสมหลายอย่าง เช่น การยกกำลังของจำนวนเฉพาะและการคูณของเส้นโค้งวงรี โดยฟังก์ชันทางคณิตศาสตร์เหล่านี้สามารถคำนวณได้ง่ายในทิศทางหนึ่ง แต่เป็นไปไม่ได้ที่จะคำนวณในทิศทางตรงกันข้ามโดยใช้คอมพิวเตอร์และอัลกอริทึมที่มีอยู่ในปัจจุบัน จากฟังก์ชันทางคณิตศาสตร์เหล่านี้ การเข้ารหัสลับช่วยให้สามารถสร้างลายเซ็นดิจิทัลที่ไม่สามารถปลอมแปลงได้และบิตคอยน์ได้ใช้การบวกและการคูณของเส้นโค้งวงรีเป็นพื้นฐานสำหรับการเข้ารหัสลับของมัน

ในบิตคอยน์ เราสามารถใช้ระบบเข้ารหัส public key เพื่อสร้างคู่กุญแจที่ควบคุมการเข้าถึงบิตคอยน์ คู่กุญแจประกอบด้วย private key และ public key ที่ได้มาจาก private key public keyใช้สำหรับรับเงิน และ private key ใช้สำหรับลงนามในธุรกรรมเพื่อใช้จ่ายเงิน

ความสัมพันธ์ทางคณิตศาสตร์ระหว่าง public key และ private key ที่ช่วยให้ private key สามารถใช้สร้างลายเซ็นบนข้อความได้ ลายเซ็นเหล่านี้สามารถตรวจสอบความถูกต้องกับ public key ได้โดยไม่เปิดเผย private key

TIP: ในการใช้งานซอฟแวร์กระเป๋าเงินบิตคอยน์บสงอัน จะทำการเก็บ private key และ public key ถูกเก็บไว้ด้วยกันในรูปแบบคู่กุญแจเพื่อความสะดวก แต่อย่างไรก็ตาม public key สามารถคำนวณได้จาก private key ดังนั้นการเก็บเพียง private key เท่านั้นก็เป็นไปได้เช่นกัน

bitcoin wallet มักจะทำการรวบรวมคู่กุญแต่ละคู่ ซึ่งจะประกอบไปด้วย private key และ public key โดย private key จะเป็นตัวเลขที่ถูกสุ่มเลือกขึ้นมา และเราขะใช้เส้นโค้งวงรี ซึ่งเป็นฟังก์ชันการเข้ารหัสทางเดียว เพื่อสร้าง public key ขึ้นมา

ทำไมจึงใช้การเข้ารหัสแบบอสมมาตร

ทำไมการเข้ารหัสแบบอสมมาตรจึงถูกใช้บิตคอยน์? มันไม่ได้ถูกใช้เพื่อ "เข้ารหัส" (ทำให้เป็นความลับ) ธุรกรรม แต่คุณสมบัติที่มีประโยชน์ของการเข้ารหัสแบบอสมมาตรคือความสามารถในการสร้าง ลายเซ็นดิจิทัล private key สามารถนำไปใช้กับธุรกรรมเพื่อสร้างลายเซ็นเชิงตัวเลข ลายเซ็นนี้สามารถสร้างได้เฉพาะโดยผู้ที่มีความเกี่ยวข้องกับ private key เท่านั้น แต่อย่างไรก็ตาม ทุกคนที่สามารถเข้าถึง public key และธุรกรรมสามารถใช้สิ่งเหล่านี้เพื่อ ตรวจสอบ ลายเซ็นได้ คุณสมบัติที่มีประโยชน์นี้ของการเข้ารหัสแบบอสมมาตรทำให้ทุกคนสามารถตรวจสอบลายเซ็นทุกรายการในทุกธุรกรรมได้ ในขณะที่มั่นใจว่าเฉพาะเจ้าของ private key เท่านั้นที่สามารถสร้างลายเซ็นที่ถูกต้องได้

Private keys

private key เป็นเพียงตัวเลขที่ถูกสุ่มขึ้น และการควบคุม private key ก็เป็นรากฐานสำคัญที่ทำให้เจ้าชองกุญแจดอกนี้สามารถควบคุมบิตคอยน์ทั้งหมดที่มีความเกี่ยวข้องกับ public key ที่คู่กัน private key นั้นใช้ในการสร้างลายเซ็นดิจิทัลที่ใช้ในการเคลื่อนย้ายบิตคอยน์ เราจำเป็นต้องเก็บ private key ให้เป็นความลับตลอดเวลา เพราะการเปิดเผยมันให้กับบุคคลอื่นนั้นก็เปรียบเสมือนกับการนำอำนาจในการควบคุมบิตคอยน์ไปให้แก่เขา นอกจากนี้ private key ยังจำเป็นต้องได้รับการสำรองข้อมูลและป้องกันจากการสูญหายโดยไม่ตั้งใจ เพราะหากเราได้ทำมันสูญหายไป จะไม่สามารถกู้คืนได้ และบิตคอยน์เหล่านั้นจะถูกปกป้องโดยกุญแจที่หายไปนั้นตลอดกาลเช่นกัน

TIP: private key ของบิตคอยน์นั้นเป็นเพียงแค่ตัวเลข คุณสามารถสร้างมันได้โดยใช้เพียงเหรียญ ดินสอ และกระดาษ โดยการโยนเหรียญเพียง 256 ครั้งจะทำให้คุณได้เลขฐานสองที่สามารถใช้เป็น private key ของบิตคอยน์ จากนั้นคุณสามารถใช้มันในการคำนวณหา public key แต่อย่างไรก็ตาม โปรดระมัดระวังเกี่ยวกับการเลือใช้วิธีการสุ่มที่ไม่สมบูรณ์ เพราะนั่นอาจลดความปลอดภัยของ private key และบิตคอยน์ที่มัมปกป้องอยู่อย่างมีนัยสำคัญ

ขั้นตอนแรกและสำคัญที่สุดในการสร้างกุญแจคือการหาแหล่งที่มาของความสุ่มที่ปลอดภัย (ซึ่งเรียกว่า เอนโทรปี) การสร้างกุญแจของบิตคอยน์นั้นเกือบเหมือนกับ "เลือกตัวเลขระหว่าง 1 และ 2^256" ซึ่งวิธีที่แน่นอนที่คุณใช้ในการเลือกตัวเลขนั้นไม่สำคัญตราบใดที่มันไม่สามารถคาดเดาหรือทำซ้ำได้ โดยปกติแล้วซอฟต์แวร์ของบิตคอยน์มักจะใช้ตัวสร้างตัวเลขสุ่มที่มีความปลอดภัยทางการเข้ารหัสเพื่อสร้างเอนโทรปี 256 บิต

สิ่งที่สำคัญในเรื่องนี้คือ private key สามารถเป็นตัวเลขใดๆ ระหว่าง 0 และ n - 1 (รวมทั้งสองค่า) โดยที่ n เป็นค่าคงที่ (n = 1.1578 × 10^77 ซึ่งน้อยกว่า 2^256 เล็กน้อย) ซึ่งกำหนดอยู่ใน elliptic curve ที่ใช้ใน Bitcoin ในการสร้างกุญแจดังกล่าว เราสุ่มเลือกเลขขนาด 256 บิตและตรวจสอบว่ามันน้อยกว่า n ในแง่ของการเขียนโปรแกรม โดยปกติแล้วสิ่งนี้ทำได้โดยการป้อนสตริงของบิตสุ่มที่ใหญ่กว่า ซึ่งรวบรวมจากแหล่งที่มาของความสุ่มที่มีความปลอดภัยทางการเข้ารหัส เข้าไปในอัลกอริทึมแฮช SHA256 ซึ่งจะสร้างค่าขนาด 256 บิตที่สามารถตีความเป็นตัวเลขได้อย่างสะดวก หากผลลัพธ์น้อยกว่า n เราจะได้กุญแจส่วนตัวที่เหมาะสม มิฉะนั้น เราก็เพียงแค่ลองอีกครั้งด้วยตัวเลขสุ่มอื่น

คำเตือน: อย่าเขียนโค้ดของคุณเองเพื่อสร้างตัวเลขสุ่ม หรือใช้ตัวสร้างตัวเลขสุ่ม "แบบง่าย" ที่มีให้ในภาษาโปรแกรมของคุณ ใช้ตัวสร้างตัวเลขสุ่มเทียมที่มีความปลอดภัยทางการเข้ารหัส (CSPRNG) จากแหล่งที่มีเอนโทรปีเพียงพอ ศึกษาเอกสารของไลบรารีตัวสร้างตัวเลขสุ่มที่คุณเลือกเพื่อให้มั่นใจว่ามีความปลอดภัยทางการเข้ารหัส การใช้งาน CSPRNG ที่ถูกต้องมีความสำคัญอย่างยิ่งต่อความปลอดภัยของกุญแจ

ต่อไปนี้คือกุญแจส่วนตัว (k) ที่สร้างขึ้นแบบสุ่มซึ่งแสดงในรูปแบบเลขฐานสิบหก (256 บิตแสดงเป็น 64 หลักเลขฐานสิบหก โดยแต่ละหลักคือ 4 บิต): 1E99423A4ED27608A15A2616A2B0E9E52CED330AC530EDCC32C8FFC6A526AEDD

TIP: จำนวนที่เป็นไปได้ของ private key ทั้งหมดนั้นมีอยู่ 2^256 เป็นตัวเลขที่ใหญ่มากจนยากจะจินตนาการได้ มันมีค่าประมาณ 10^77 (เลข 1 ตามด้วยเลข 0 อีก 77 ตัว) ในระบบเลขฐานสิบ เพื่อให้เข้าใจง่ายขึ้น ลองเปรียบเทียบกับจักรวาลที่เรามองเห็นได้ซึ่งนักวิทยาศาสตร์ประมาณการว่ามีอะตอมทั้งหมดประมาณ 10^80 อะตอม นั่นหมายความว่าช่วงค่าของกุญแจส่วนตัว Bitcoin มีขนาดใกล้เคียงกับจำนวนอะตอมทั้งหมดในจักรวาลที่เรามองเห็นได้

การอธิบายเกี่ยวกับวิทยาการเข้ารหัสแบบเส้นโค้งวงรี (Elliptic Curve Cryptography)

วิทยาการเข้ารหัสแบบเส้นโค้งวงรี (ECC) เป็นประเภทหนึ่งของการเข้ารหัสแบบอสมมาตรหรือ public key ซึ่งอาศัยหลักการของปัญหาลอการิทึมแบบไม่ต่อเนื่อง โดยแสดงออกผ่านการบวกและการคูณบนจุดต่างๆ ของเส้นโค้งวงรี

บิตคอยน์ใช้เส้นโค้งวงรีเฉพาะและชุดค่าคงที่ทางคณิตศาสตร์ ตามที่กำหนดไว้ในมาตรฐานที่เรียกว่า secp256k1 ซึ่งกำหนดโดยสถาบันมาตรฐานและเทคโนโลยีแห่งชาติ (NIST) เส้นโค้ง secp256k1 ถูกกำหนดโดยฟังก์ชันต่อไปนี้ ซึ่งสร้างเส้นโค้งวงรี: y² = (x³ + 7) บนฟิลด์จำกัด (F_p) หรือ y² mod p = (x³ + 7) mod p

โดยที่ mod p (มอดูโลจำนวนเฉพาะ p) แสดงว่าเส้นโค้งนี้อยู่บนฟิลด์จำกัดของอันดับจำนวนเฉพาะ p ซึ่งเขียนได้เป็น F_p โดย p = 2^256 – 2^32 – 2^9 – 2^8 – 2^7 – 2^6 – 2^4 – 1 ซึ่งเป็นจำนวนเฉพาะที่มีค่ามหาศาล

บิตคอยน์ใช้เส้นโค้งวงรีที่ถูกนิยามบนฟิลด์จำกัดของอันดับจำนวนเฉพาะแทนที่จะอยู่บนจำนวนจริง ทำให้มันมีลักษณะเหมือนรูปแบบของจุดที่กระจัดกระจายในสองมิติ ซึ่งทำให้ยากต่อการจินตนาการภาพ อย่างไรก็ตาม คณิตศาสตร์ที่ใช้นั้นเหมือนกับเส้นโค้งวงรีบนจำนวนจริง

ตัวอย่างเช่น การเข้ารหัสลับด้วยเส้นโค้งวงรี: การแสดงภาพเส้นโค้งวงรีบน F(p) โดยที่ p=17 แสดงเส้นโค้งวงรีเดียวกันบนฟิลด์จำกัดของอันดับจำนวนเฉพาะ 17 ที่มีขนาดเล็กกว่ามาก ซึ่งแสดงรูปแบบของจุดบนตาราง

เส้นโค้งวงรี secp256k1 ที่ใช้ในบิตคอยน์สามารถนึกถึงได้ว่าเป็นรูปแบบของจุดที่ซับซ้อนมากกว่าบนตารางที่มีขนาดใหญ่มหาศาลจนยากจะเข้าใจได้

ตัวอย่างเช่น จุด P ที่มีพิกัด (x, y) ต่อไปนี้เป็นจุดที่อยู่บนเส้นโค้ง secp256k1: P = (55066263022277343669578718895168534326250603453777594175500187360389116729240, 32670510020758816978083085130507043184471273380659243275938904335757337482424) เราสามารถใช้ Python เพื่อยืนยันว่าจุดนี้อยู่บนเส้นโค้งวงรีได้ตามตัวอย่างนี้: ตัวอย่างที่ 1: การใช้ Python เพื่อยืนยันว่าจุดนี้อยู่บนเส้นโค้งวงรี ``` Python 3.10.6 (main, Nov 14 2022, 16:10:14) [GCC 11.3.0] on linux Type "help", "copyright", "credits" or "license" for more information.

p = 115792089237316195423570985008687907853269984665640564039457584007908834671663 x = 55066263022277343669578718895168534326250603453777594175500187360389116729240 y = 32670510020758816978083085130507043184471273380659243275938904335757337482424 (x ** 3 + 7 - y**2) % p 0 ``` ผลลัพธ์เป็น 0 ซึ่งแสดงว่าจุดนี้อยู่บนเส้นโค้งวงรีจริง เพราะเมื่อแทนค่า x และ y ลงในสมการ y² = (x³ + 7) mod p แล้ว ทั้งสองด้านของสมการมีค่าเท่ากัน

ในคณิตศาสตร์ของเส้นโค้งวงรี มีจุดที่เรียกว่า "จุดที่อนันต์" (point at infinity) ซึ่งมีบทบาทคล้ายกับศูนย์ในการบวก บนคอมพิวเตอร์ บางครั้งจุดนี้แทนด้วย x = y = 0 (ซึ่งไม่เป็นไปตามสมการเส้นโค้งวงรี แต่เป็นกรณีพิเศษที่สามารถตรวจสอบได้ง่าย)

มีตัวดำเนินการ + ที่เรียกว่า "การบวก" ซึ่งมีคุณสมบัติคล้ายกับการบวกแบบดั้งเดิมของจำนวนจริงที่เด็กๆ เรียนในโรงเรียน เมื่อมีจุดสองจุด P1 และ P2 บนเส้นโค้งวงรี จะมีจุดที่สาม P3 = P1 + P2 ซึ่งอยู่บนเส้นโค้งวงรีเช่นกัน

ในเชิงเรขาคณิต จุดที่สาม P3 นี้คำนวณได้โดยการลากเส้นระหว่าง P1 และ P2 เส้นนี้จะตัดกับเส้นโค้งวงรีที่จุดเพิ่มเติมอีกหนึ่งจุดพอดี เรียกจุดนี้ว่า P3' = (x, y) จากนั้นให้สะท้อนกับแกน x เพื่อได้ P3 = (x, -y)

มีกรณีพิเศษบางกรณีที่อธิบายความจำเป็นของ "จุดที่อนันต์":

1. ถ้า P1 และ P2 เป็นจุดเดียวกัน เส้น "ระหว่าง" P1 และ P2 ควรขยายเป็นเส้นสัมผัสกับเส้นโค้ง ณ จุด P1 นี้ เส้นสัมผัสนี้จะตัดกับเส้นโค้งที่จุดใหม่อีกหนึ่งจุดพอดี คุณสามารถใช้เทคนิคจากแคลคูลัสเพื่อหาความชันของเส้นสัมผัส เทคนิคเหล่านี้ใช้ได้อย่างน่าแปลกใจ แม้ว่าเราจะจำกัดความสนใจไว้ที่จุดบนเส้นโค้งที่มีพิกัดเป็นจำนวนเต็มเท่านั้น!
2. ในบางกรณี (เช่น ถ้า P1 และ P2 มีค่า x เดียวกันแต่ค่า y ต่างกัน) เส้นสัมผัสจะตั้งฉากพอดี ซึ่งในกรณีนี้ P3 = "จุดที่อนันต์"
3. ถ้า P1 เป็น "จุดที่อนันต์" แล้ว P1 + P2 = P2 ในทำนองเดียวกัน ถ้า P2 เป็นจุดที่อนันต์ แล้ว P1 + P2 = P1 นี่แสดงให้เห็นว่าจุดที่อนันต์มีบทบาทเป็นศูนย์

การบวกนี้มีคุณสมบัติเชิงสมาคม (associative) ซึ่งหมายความว่า (A + B) + C = A + (B + C) นั่นหมายความว่าเราสามารถเขียน A + B + C โดยไม่ต้องมีวงเล็บและไม่มีความกำกวม

เมื่อเรานิยามการบวกแล้ว เราสามารถนิยามการคูณในแบบมาตรฐานที่ต่อยอดจากการบวก สำหรับจุด P บนเส้นโค้งวงรี ถ้า k เป็นจำนวนเต็มบวก แล้ว kP = P + P + P + … + P (k ครั้ง) โปรดทราบว่า k บางครั้งถูกเรียกว่า "เลขชี้กำลัง"

Public Keys

ในระบบคริปโตกราฟีแบบเส้นโค้งวงรี (Elliptic Curve Cryptography) public key ถูกคำนวณจาก private key โดยใช้การคูณเส้นโค้งวงรี ซึ่งเป็นกระบวนการที่ไม่สามารถย้อนกลับได้:

K = k × G

โดยที่:

• k คือ private key
• G คือจุดคงที่ที่เรียกว่า จุดกำเนิด (generator point)
• K คือ public key

การดำเนินการย้อนกลับ ที่เรียกว่า "การหาลอการิทึมแบบไม่ต่อเนื่อง" (finding the discrete logarithm) - คือการคำนวณหา k เมื่อรู้ค่า K - เป็นสิ่งที่ยากมากเทียบเท่ากับการลองค่า k ทุกค่าที่เป็นไปได้ (วิธีการแบบ brute-force)

ความยากของการย้อนกลับนี้คือหลักการความปลอดภัยหลักของระบบ ECC ที่ใช้ในบิตคอยน์ ซึ่งทำให้สามารถเผยแพร่ public key ได้อย่างปลอดภัย โดยที่ไม่ต้องกังวลว่าจะมีใครสามารถคำนวณย้อนกลับเพื่อหา private key ได้

TIP:การคูณเส้นโค้งวงรีเป็นฟังก์ชันประเภทที่นักเข้ารหัสลับเรียกว่า “ trap door function ”:

• เป็นสิ่งที่ทำได้ง่ายในทิศทางหนึ่ง
• แต่เป็นไปไม่ได้ที่จะทำในทิศทางตรงกันข้าม

คนที่มี private key สามารถสร้าง public key ได้อย่างง่ายดาย และสามารถแบ่งปันกับโลกได้โดยรู้ว่าไม่มีใครสามารถย้อนกลับฟังก์ชันและคำนวณ private key จาก public key ได้ กลวิธีทางคณิตศาสตร์นี้กลายเป็นพื้นฐานสำหรับลายเซ็นดิจิทัลที่ปลอมแปลงไม่ได้และมีความปลอดภัย ซึ่งใช้พิสูจน์การควบคุมเงินบิตคอยน์

เริ่มต้นด้วยการใช้ private key ในรูปแบบของตัวเลขสุ่ม เราคูณมันด้วยจุดที่กำหนดไว้ล่วงหน้าบนเส้นโค้งที่เรียกว่า จุดกำเนิด (generator point) เพื่อสร้างจุดอื่นที่อยู่บนเส้นโค้งเดียวกัน ซึ่งคำตอบจะเป็น public key ที่สอดคล้องกัน จุดกำเนิดถูกกำหนดไว้เป็นส่วนหนึ่งของมาตรฐาน secp256k1 และเป็นค่าเดียวกันสำหรับกุญแจทั้งหมดในระบบบิตคอยน์

เนื่องจากจุดกำเนิด G เป็นค่าเดียวกันสำหรับผู้ใช้บิตคอยน์ทุกคน private key (k) ที่คูณกับ G จะได้ public key (K) เดียวกันเสมอ ความสัมพันธ์ระหว่าง k และ K เป็นแบบตายตัวแต่สามารถคำนวณได้ในทิศทางเดียวเท่านั้น คือจาก k ไปยัง K นี่คือเหตุผลที่ public key ของบิตคอยน์ (K) สามารถแบ่งปันกับทุกคนได้โดยไม่เปิดเผย private key (k) ของผู้ใช้

TIP: private key สามารถแปลงเป็น public key ได้ แต่ public key ไม่สามารถแปลงกลับเป็น private key ได้ เพราะคณิตศาสตร์ที่ใช้ทำงานได้เพียงทิศทางเดียวเท่านั้น

เมื่อนำการคูณเส้นโค้งวงรีมาใช้งาน เราจะนำ private key (k) ที่สร้างขึ้นก่อนหน้านี้มาคูณกับจุดกำเนิด G เพื่อหา public key (K): K = 1E99423A4ED27608A15A2616A2B0E9E52CED330AC530EDCC32C8FFC6A526AEDD × G public key (K) จะถูกกำหนดเป็นจุด K = (x, y) โดยที่: x = F028892BAD7ED57D2FB57BF33081D5CFCF6F9ED3D3D7F159C2E2FFF579DC341A y = 07CF33DA18BD734C600B96A72BBC4749D5141C90EC8AC328AE52DDFE2E505BDB เพื่อจะให้เห็นภาพของการคูณจุดด้วยจำนวนเต็มมากขึ้น เราจะใช้เส้นโค้งวงรีที่ง่ายกว่าบนจำนวนจริง (โดยหลักการทางคณิตศาสตร์ยังคงเหมือนกัน) เป้าหมายของเราคือการหาผลคูณ kG ของจุดกำเนิด G ซึ่งเทียบเท่ากับการบวก G เข้ากับตัวเอง k ครั้งติดต่อกัน

ในเส้นโค้งวงรี การบวกจุดเข้ากับตัวเองเทียบเท่ากับการลากเส้นสัมผัสที่จุดนั้นและหาว่าเส้นนั้นตัดกับเส้นโค้งอีกครั้งที่จุดใด จากนั้นจึงสะท้อนจุดนั้นบนแกน x

การเข้ารหัสลับด้วยเส้นโค้งวงรี: การแสดงภาพการคูณจุด G ด้วยจำนวนเต็ม k บนเส้นโค้งวงรี แสดงกระบวนการในการหา G, 2G, 4G เป็นการดำเนินการทางเรขาคณิตบนเส้นโค้งได้ดังนี้

TIP: ในซอฟแวร์ของบิตคอยน์ส่วนใหญ่ใช้ไลบรารีเข้ารหัสลับ libsecp256k1 เพื่อทำการคำนวณทางคณิตศาสตร์เส้นโค้งวงรี

Output and Input Scripts

แม้ว่าภาพประกอบจาก Bitcoin whitepaper ที่แสดงเรื่อง "Transaction chain" จะแสดงให้เห็นว่ามีการใช้ public key และ digital signature โดยตรง แต่ในความเป็นจริงบิตคอยน์เวอร์ชันแรกนั้นมีการส่งการชำระเงินไปยังฟิลด์ที่เรียกว่า output script และมีการใช้จ่ายบิตคอยน์เหล่านั้นโดยได้รับอนุญาตจากฟิลด์ที่เรียกว่า input script ฟิลด์เหล่านี้อนุญาตให้มีการดำเนินการเพิ่มเติมนอกเหนือจาก (หรือแทนที่) การตรวจสอบว่าลายเซ็นสอดคล้องกับ public key หรือไม่ ตัวอย่างเช่น output script สามารถมี public key สองดอกและต้องการลายเซ็นสองลายเซ็นที่สอดคล้องกันในฟิลด์ input script ที่ใช้จ่าย

ในภายหลัง ในหัวข้อ [tx_script] เราจะได้เรียนรู้เกี่ยวกับสคริปต์อย่างละเอียด สำหรับตอนนี้ สิ่งที่เราต้องเข้าใจคือ บิตคอยน์จะถูกรับเข้า output script ที่ทำหน้าที่เหมือน public key และการใช้จ่ายบิตคอยน์จะได้รับอนุญาตโดย input script ที่ทำหน้าที่เหมือนลายเซ็น

IP Addresses: The Original Address for Bitcoin (P2PK)

เราได้เห็นแล้วว่าอลิซสามารถจ่ายเงินให้บ็อบโดยการมอบบิตคอยน์บางส่วนของเธอให้กับกุญแจสาธารณะของบ็อบ แต่อลิซจะได้กุญแจสาธารณะของบ็อบมาได้อย่างไร? บ็อบอาจจะให้สำเนากุญแจแก่เธอ แต่ลองดูกุญแจสาธารณะที่เราใช้งานในตัวอย่างที่ผ่านมาอีกครั้ง: x = F028892BAD7ED57D2FB57BF33081D5CFCF6F9ED3D3D7F159C2E2FFF579DC341A y = 07CF33DA18BD734C600B96A72BBC4749D5141C90EC8AC328AE52DDFE2E505BDB

TIP จากหลาม: :สังเกตได้ว่า public key มีความยาวมาก ลองจินตนาการว่าบ็อบพยายามอ่านกุญแจนี้ให้อลิซฟังทางโทรศัพท์ คงจะยากมากที่จะอ่านและบันทึกโดยไม่มีข้อผิดพลาด

แทนที่จะป้อนกุญแจสาธารณะโดยตรง เวอร์ชันแรกของซอฟต์แวร์บิตคอยน์อนุญาตให้ผู้จ่ายเงินป้อนที่อยู่ IP ของผู้รับได้ ตามที่แสดงในหน้าจอการส่งเงินรุ่นแรกของบิตคอยน์ผ่าน The Internet Archive

คุณสมบัตินี้ถูกลบออกในภายหลัง เนื่องจากมีปัญหามากมายในการใช้ที่อยู่ IP แต่คำอธิบายสั้นๆ จะช่วยให้เราเข้าใจได้ดีขึ้นว่าทำไมคุณสมบัติบางอย่างอาจถูกเพิ่มเข้าไปในโปรโตคอลบิตคอยน์

เมื่ออลิซป้อนที่อยู่ IP ของบ็อบในบิตคอยน์เวอร์ชัน 0.1 Full node ของเธอจะทำการเชื่อมต่อกับ full node ของเขาและได้รับ public key ใหม่จากกระเป๋าสตางค์ของบ็อบที่โหนดของเขาไม่เคยให้กับใครมาก่อน การที่เป็น public key ใหม่นี้มีความสำคัญเพื่อให้แน่ใจว่าธุรกรรมต่าง ๆ ที่จ่ายให้บ็อบจะไม่สามารถถูกเชื่อมโยงเข้าด้วยกันโดยคนที่กำลังดูบล็อกเชนและสังเกตเห็นว่าธุรกรรมทั้งหมดจ่ายไปยัง public key เดียวกัน

เมื่อใช้ public key จากโหนดของอลิซซึ่งได้รับมาจากโหนดของบ็อบ กระเป๋าสตางค์ของอลิซจะสร้างเอาต์พุตธุรกรรมที่จ่ายให้กับสคริปต์เอาต์พุตดังนี้ <Bob's public key> OP_CHECKSIG ต่อมาบ็อบจะสามารถใช้จ่ายเอาต์พุตนั้นด้วยสคริปต์อินพุตที่ประกอบด้วยลายเซ็นของเขาเท่านั้น: <Bob's signature> เพื่อให้เข้าใจว่าสคริปต์อินพุตและเอาต์พุตกำลังทำอะไร คุณสามารถรวมพวกมันเข้าด้วยกัน (สคริปต์อินพุตก่อน) แล้วสังเกตว่าข้อมูลแต่ละชิ้น (แสดงในเครื่องหมาย < >) จะถูกวางไว้ที่ด้านบนสุดของรายการที่เรียกว่าสแตก (stack) เมื่อพบรหัสคำสั่ง (opcode) มันจะใช้รายการจากสแตก โดยเริ่มจากรายการบนสุด มาดูว่ามันทำงานอย่างไรโดยเริ่มจากสคริปต์ที่รวมกัน: <Bob's signature> <Bob's public key> OP_CHECKSIG

สำหรับสคริปต์นี้ ลายเซ็นของบ็อบจะถูกนำไปไว้บนสแตก จากนั้น public key ของบ็อบจะถูกวางไว้ด้านบนของลายเซ็น และบนสุดจะเป็นคำสั่ง OP_CHECKSIG ที่จะใช้องค์ประกอบสองอย่าง เริ่มจาก public key ตามด้วยลายเซ็น โดยลบพวกมันออกจากสแตก มันจะตรวจสอบว่าลายเซ็นตรงกับ public key และยืนยันฟิลด์ต่าง ๆ ในธุรกรรม ถ้าลายเซ็นถูกต้อง OP_CHECKSIG จะแทนที่ตัวเองบนสแตกด้วยค่า 1 ถ้าลายเซ็นไม่ถูกต้อง มันจะแทนที่ตัวเองด้วย 0 ถ้ามีรายการที่ไม่ใช่ศูนย์อยู่บนสุดของสแตกเมื่อสิ้นสุดการประเมิน สคริปต์ก็จะผ่าน ถ้าสคริปต์ทั้งหมดในธุรกรรมผ่าน และรายละเอียดอื่น ๆ ทั้งหมดเกี่ยวกับธุรกรรมนั้นต้องถูกต้องจึงจะถือว่าธุรกรรมนั้นถูกต้อง

โดยสรุป สคริปต์ข้างต้นใช้ public key และลายเซ็นเดียวกันกับที่อธิบายใน whitepaper แต่เพิ่มความซับซ้อนของฟิลด์สคริปต์สองฟิลด์และรหัสคำสั่งหนึ่งตัว ซึ่งเราจะเริ่มเห็นประโยชน์เมื่อเรามองที่ส่วนต่อไป

TIP:จากหลาม agian: เอาต์พุตประเภทนี้เป็นที่รู้จักในปัจจุบันว่า P2PK ซึ่งมันไม่เคยถูกใช้อย่างแพร่หลายสำหรับการชำระเงิน และไม่มีโปรแกรมที่ใช้กันอย่างแพร่หลายที่รองรับการชำระเงินผ่านที่อยู่ IP เป็นเวลาเกือบทศวรรษแล้ว

Legacy addresses for P2PKH

แน่นอนว่าการป้อนที่อยู่ IP ของคนที่คุณต้องการจ่ายเงินให้นั้นมีข้อดีหลายประการ แต่ก็มีข้อเสียหลายประการเช่นกัน หนึ่งในข้อเสียที่สำคัญคือผู้รับจำเป็นต้องให้กระเป๋าสตางค์ของพวกเขาออนไลน์ที่ที่อยู่ IP ของพวกเขา และต้องสามารถเข้าถึงได้จากโลกภายนอก

ซึ่งสำหรับคนจำนวนมากนั่นไม่ใช่ตัวเลือกที่เป็นไปได้เพราะหากพวกเขา:

• ปิดคอมพิวเตอร์ในเวลากลางคืน
• แล็ปท็อปของพวกเขาเข้าสู่โหมดสลีป
• อยู่หลังไฟร์วอลล์
• หรือกำลังใช้การแปลงที่อยู่เครือข่าย (NAT)

ปัญหานี้นำเรากลับมาสู่ความท้าทายเดิมที่ผู้รับเงินอย่างบ็อบต้องให้ public key ที่มีความยาวมากแก่ผู้จ่ายเงินอย่างอลิซ public key ของบิตคอยน์ที่สั้นที่สุดที่นักพัฒนาบิตคอยน์รุ่นแรกรู้จักมีขนาด 65 ไบต์ เทียบเท่ากับ 130 ตัวอักษรเมื่อเขียนในรูปแบบเลขฐานสิบหก (เฮกซาเดซิมอล) แต่อย่างไรก็ตาม บิตคอยน์มีโครงสร้างข้อมูลหลายอย่างที่มีขนาดใหญ่กว่า 65 ไบต์มาก ซึ่งจำเป็นต้องถูกอ้างอิงอย่างปลอดภัยในส่วนอื่น ๆ ของบิตคอยน์โดยใช้ข้อมูลขนาดเล็กที่สุดเท่าที่จะปลอดภัยได้

โดยบิตคอยน์แก้ปัญหานี้ด้วย ฟังก์ชันแฮช (hash function) ซึ่งเป็นฟังก์ชันที่รับข้อมูลที่อาจมีขนาดใหญ่ นำมาแฮช และให้ผลลัพธ์เป็นข้อมูลขนาดคงที่ ฟังก์ชันแฮชจะผลิตผลลัพธ์เดียวกันเสมอเมื่อได้รับข้อมูลนำเข้าแบบเดียวกัน และฟังก์ชันที่ปลอดภัยจะทำให้เป็นไปไม่ได้ในทางปฏิบัติสำหรับผู้ที่ต้องการเลือกข้อมูลนำเข้าอื่นที่ให้ผลลัพธ์เหมือนกันได้ นั่นทำให้ผลลัพธ์เป็น คำมั่นสัญญา (commitment) ต่อข้อมูลนำเข้า เป็นสัญญาว่าในทางปฏิบัติ มีเพียงข้อมูลนำเข้า x เท่านั้นที่จะให้ผลลัพธ์ X

สมมติว่าผมต้องการถามคำถามคุณและให้คำตอบของผมในรูปแบบที่คุณไม่สามารถอ่านได้ทันที สมมติว่าคำถามคือ "ในปีไหนที่ซาโตชิ นาคาโมโตะเริ่มทำงานบนบิทคอยน์?" ผมจะให้การยืนยันคำตอบของผมในรูปแบบของผลลัพธ์จากฟังก์ชันแฮช SHA256 ซึ่งเป็นฟังก์ชันที่ใช้บ่อยที่สุดในบิทคอยน์: 94d7a772612c8f2f2ec609d41f5bd3d04a5aa1dfe3582f04af517d396a302e4e ต่อมา หลังจากคุณบอกคำตอบที่คุณเดาสำหรับคำถามนั้น ผมสามารถเปิดเผยคำตอบของผมและพิสูจน์ให้คุณเห็นว่าคำตอบของผม เมื่อใช้เป็นข้อมูลสำหรับฟังก์ชันแฮช จะให้ผลลัพธ์เดียวกันกับที่ผมให้คุณก่อนหน้านี้ $ echo "2007. He said about a year and a half before Oct 2008" | sha256sum 94d7a772612c8f2f2ec609d41f5bd3d04a5aa1dfe3582f04af517d396a302e4e ทีนี้ให้สมมติว่าเราถามบ็อบว่า " public key ของคุณคืออะไร?" บ็อบสามารถใช้ฟังก์ชันแฮชเพื่อให้การยืนยันที่ปลอดภัยทางการเข้ารหัสต่อ public key ของเขา หากเขาเปิดเผยกุญแจในภายหลัง และเราตรวจสอบว่ามันให้ผลการยืนยันเดียวกันกับที่เขาให้เราก่อนหน้านี้ เราสามารถมั่นใจได้ว่ามันเป็นกุญแจเดียวกันที่ใช้สร้างการยืนยันก่อนหน้านี้

ฟังก์ชันแฮช SHA256 ถือว่าปลอดภัยมากและให้ผลลัพธ์ 256 บิต (32 ไบต์) น้อยกว่าครึ่งหนึ่งของขนาด public key ของบิทคอยน์ดั้งเดิม แต่อย่างไรก็ตาม มีฟังก์ชันแฮชอื่นๆ ที่ปลอดภัยน้อยกว่าเล็กน้อยที่ให้ผลลัพธ์ขนาดเล็กกว่า เช่น ฟังก์ชันแฮช RIPEMD-160 ซึ่งให้ผลลัพธ์ 160 บิต (20 ไบต์) ด้วยเหตุผลที่ซาโตชิ นาคาโมโตะไม่เคยระบุ เวอร์ชันดั้งเดิมของบิทคอยน์สร้างการยืนยันต่อ public key โดยการแฮชกุญแจด้วย SHA256 ก่อน แล้วแฮชผลลัพธ์นั้นด้วย RIPEMD-160 ซึ่งให้การยืนยันขนาด 20 ไบต์ต่อ public key

เราสามารถดูสิ่งนี้ตามอัลกอริทึม เริ่มจากกุญแจสาธารณะ K เราคำนวณแฮช SHA256 และคำนวณแฮช RIPEMD-160 ของผลลัพธ์ ซึ่งให้ตัวเลข 160 บิต (20 ไบต์): A = RIPEMD160(SHA256(K))

ทีนี้เราคงเข้าใจวิธีสร้างการยืนยันต่อ public key แล้ว ต่อไปเราจะมาดูวิธีการใช้งานโดยพิจารณาสคริปต์เอาต์พุตต่อไปนี้: OP_DUP OP_HASH160 <Bob's commitment> OP_EQUAL OP_CHECKSIG และสคริปต์อินพุตต่อไปนี้: <Bob's signature> <Bob's public key> และเมื่อเรารวมมันเข้าด้วยกันเราจะได้ผลลัพธ์ดังนี้: <Bob's signature> <Bob's public key> OP_DUP OP_HASH160 <Bob's commitment> OP_EQUAL OP_CHECKSIG

เหมือนที่เราทำใน IP Addresses: The Original Address for Bitcoin (P2PK) เราเริ่มวางรายการลงในสแต็ก ลายเซ็นของบ็อบถูกวางก่อน จากนั้น public key ของเขาถูกวางไว้ด้านบน จากนั้นดำเนินการ OP_DUP เพื่อทำสำเนารายการบนสุด ดังนั้นรายการบนสุดและรายการที่สองจากบนในสแต็กตอนนี้เป็น public key ของบ็อบทั้งคู่ การดำเนินการ OP_HASH160 ใช้ (ลบ) public key บนสุดและแทนที่ด้วยผลลัพธ์ของการแฮชด้วย RIPEMD160(SHA256(K)) ดังนั้นตอนนี้บนสุดของสแต็กคือแฮชของ public key ของบ็อบ ต่อไป commitment ถูกเพิ่มไว้บนสุดของสแต็ก การดำเนินการ OP_EQUALVERIFY ใช้รายการสองรายการบนสุดและตรวจสอบว่าพวกมันเท่ากัน ซึ่งควรเป็นเช่นนั้นหาก public key ที่บ็อบให้ในสคริปต์อินพุตเป็น public key เดียวกันกับที่ใช้สร้างการยืนยันในสคริปต์เอาต์พุตที่อลิซจ่าย หาก OP_EQUALVERIFY ล้มเหลว ทั้งสคริปต์จะล้มเหลว สุดท้าย เราเหลือสแต็กที่มีเพียงลายเซ็นของบ็อบและ public key ของเขา รหัสปฏิบัติการ OP_CHECKSIG ตรวจสอบว่าพวกมันสอดคล้องกัน

TIP: จากหลาม ถ้าอ่านตรงนี้และงง ๆ ผมไปทำรูปมาให้ดูง่ายขึ้นครับ

แม้กระบวนการของการ pay-to-publickey-hash(P2PKH) อาจดูซับซ้อน แต่มันทำให้การที่อลิซจ่ายเงินให้บ็อบมีเพียงการยืนยันเพียง 20 ไบต์ต่อ public key ของเขาแทนที่จะเป็นตัวกุญแจเอง ซึ่งจะมีขนาด 65 ไบต์ในเวอร์ชันดั้งเดิมของบิทคอยน์ นั่นเป็นข้อมูลที่น้อยกว่ามากที่บ็อบต้องสื่อสารกับอลิซ

แต่อย่างไรก็ตาม เรายังไม่ได้พูดถึงวิธีที่บ็อบรับ 20 ไบต์เหล่านั้นจากกระเป๋าเงินบิทคอยน์ของเขาไปยังกระเป๋าเงินของอลิซ มีการเข้ารหัสค่าไบต์ที่ใช้กันอย่างแพร่หลาย เช่น เลขฐานสิบหก แต่ข้อผิดพลาดใด ๆ ในการคัดลอกการยืนยันจะทำให้บิทคอยน์ถูกส่งไปยังเอาต์พุตที่ไม่สามารถใช้จ่ายได้ ทำให้พวกมันสูญหายไปตลอดกาล โดยในส่วนถัดไป เราจะดูที่การเข้ารหัสแบบกะทัดรัดและการตรวจสอบความถูกต้อง

Base58check Encoding

ระบบคอมพิวเตอร์มีวิธีเขียนตัวเลขยาวๆ ให้สั้นลงโดยใช้ทั้งตัวเลขและตัวอักษรผสมกัน เพื่อใช้พื้นที่น้อยลงอย่างเช่น

• ระบบเลขฐานสิบ (ปกติที่เราใช้) - ใช้เลข 0-9 เท่านั้น
• ระบบเลขฐานสิบหก - ใช้เลข 0-9 และตัวอักษร A-F ตัวอย่าง: เลข 255 ในระบบปกติ เขียนเป็น FF ในระบบเลขฐานสิบหก (สั้นกว่า)
• ระบบเลขฐานหกสิบสี่ (Base64) - ใช้สัญลักษณ์ถึง 64 ตัว: ตัวอักษรเล็ก (a-z) 26 ตัว, ตัวอักษรใหญ่ (A-Z) 26 ตัว, ตัวเลข (0-9) 10 ตัว, สัญลักษณ์พิเศษอีก 2 ตัว ("+" และ "/")

โดยระบบ Base64 นี้ช่วยให้เราส่งไฟล์คอมพิวเตอร์ผ่านข้อความธรรมดาได้ เช่น การส่งรูปภาพผ่านอีเมล โดยใช้พื้นที่น้อยกว่าการเขียนเป็นเลขฐานสิบแบบปกติมาก

การเข้ารหัสแบบ Base58 คล้ายกับ Base64 โดยใช้ตัวอักษรพิมพ์ใหญ่ พิมพ์เล็ก และตัวเลข แต่ได้ตัดตัวอักษรบางตัวที่มักถูกเข้าใจผิดว่าเป็นตัวอื่นและอาจดูเหมือนกันเมื่อแสดงในฟอนต์บางประเภทออกไป

Base58 คือ Base64 ที่ตัดตัวอักษรต่อไปนี้ออก:

• เลข 0 (ศูนย์)
• ตัวอักษร O (ตัว O พิมพ์ใหญ่)
• ตัวอักษร l (ตัว L พิมพ์เล็ก)
• ตัวอักษร I (ตัว I พิมพ์ใหญ่)
• และสัญลักษณ์ "+" และ "/"

หรือพูดให้ง่ายขึ้น Base58 คือกลุ่มตัวอักษรพิมพ์เล็ก พิมพ์ใหญ่ และตัวเลข แต่ไม่มีตัวอักษรทั้งสี่ตัว (0, O, l, I) ที่กล่าวถึงข้างต้น ตัวอักษรทั้งหมดที่ใช้ใน Base58 จะแสดงให้เห็นในตัวอักษร Base58 ของบิทคอยน์

Example 2. Bitcoin’s base58 alphabet 123456789ABCDEFGHJKLMNPQRSTUVWXYZabcdefghijkmnopqrstuvwxyz การเพิ่มความปลอดภัยพิเศษเพื่อป้องกันการพิมพ์ผิดหรือข้อผิดพลาดในการคัดลอก base58check ได้รวม รหัสตรวจสอบ (checksum) ที่เข้ารหัสในตัวอักษร base58 เข้าไปด้วย รหัสตรวจสอบนี้คือข้อมูลเพิ่มเติมอีก 4 ไบต์ที่เพิ่มเข้าไปที่ท้ายของข้อมูลที่กำลังถูกเข้ารหัส

รหัสตรวจสอบนี้ได้มาจากการแฮชข้อมูลที่ถูกเข้ารหัส และจึงสามารถใช้เพื่อตรวจจับข้อผิดพลาดจากการคัดลอกและการพิมพ์ได้ เมื่อโปรแกรมได้รับรหัส base58check ซอฟต์แวร์ถอดรหัสจะคำนวณรหัสตรวจสอบของข้อมูลและเปรียบเทียบกับรหัสตรวจสอบที่รวมอยู่ในรหัสนั้น

หากทั้งสองไม่ตรงกัน แสดงว่ามีข้อผิดพลาดเกิดขึ้น และข้อมูล base58check นั้นไม่ถูกต้อง กระบวนการนี้ช่วยป้องกันไม่ให้ address บิทคอยน์ที่พิมพ์ผิดถูกยอมรับโดยซอฟต์แวร์กระเป๋าเงินว่าเป็น address ที่ถูกต้อง ซึ่งเป็นข้อผิดพลาดที่อาจส่งผลให้สูญเสียเงินได้

การแปลงข้อมูล (ตัวเลข) เป็นรูปแบบ base58check มีขั้นตอนดังนี้:

1. เราเริ่มโดยการเพิ่ม prefix เข้าไปในข้อมูล เรียกว่า "version byte" ซึ่งช่วยให้ระบุประเภทของข้อมูลที่ถูกเข้ารหัสได้ง่าย ตัวอย่างเช่น: prefix ศูนย์ (0x00 ในระบบเลขฐานสิบหก) แสดงว่าข้อมูลควรถูกใช้เป็นการยืนยัน (hash) ในสคริปต์เอาต์พุต legacy P2PKH
2. จากนั้น เราคำนวณ "double-SHA" checksum ซึ่งหมายถึงการใช้อัลกอริทึมแฮช SHA256 สองครั้งกับผลลัพธ์ก่อนหน้า (prefix ต่อกับข้อมูล): checksum = SHA256(SHA256(prefix||data))
3. จากแฮช 32 ไบต์ที่ได้ (การแฮชซ้อนแฮช) เราเลือกเฉพาะ 4 ไบต์แรก ไบต์ทั้งสี่นี้ทำหน้าที่เป็นรหัสตรวจสอบข้อผิดพลาดหรือ checksum
4. นำ checksum นี้ไปต่อที่ท้ายข้อมูล

การเข้ารหัสแบบ base58check คือรูปแบบการเข้ารหัสที่ใช้ base58 พร้อมกับการระบุเวอร์ชันและการตรวจสอบความถูกต้อง เพื่อการเข้ารหัสข้อมูลบิทคอยน์ โดยคุณสามารถดูภาพประกอบด้านล่างเพื่อความเข้าใจเพิ่มเติม

ในบิตคอยน์นั้น นอกจากจะใช้ base58check ในการยืนยัน public key แล้ว ก็ยังมีการใช้ในข้อมูลอื่น ๆ ด้วย เพื่อทำให้ข้อมูลนั้นกะทัดรัด อ่านง่าย และตรวจจับข้อผิดพลาดได้ง่ายด้วยรหัสนำหน้า (version prefix) ในการเข้ารหัสแบบ base58check ถูกใช้เพื่อสร้างรูปแบบที่แยกแยะได้ง่าย ซึ่งเมื่อเข้ารหัสด้วย base58 โดยจะมีตัวอักษรเฉพาะที่จุดเริ่มต้นของข้อมูลที่เข้ารหัส base58check ตัวอักษรเหล่านี้ช่วยให้เราระบุประเภทของข้อมูลที่ถูกเข้ารหัสและวิธีการใช้งานได้ง่าย นี่คือสิ่งที่แยกความแตกต่าง ตัวอย่างเช่น ระหว่าง address บิทคอยน์ที่เข้ารหัส base58check ซึ่งขึ้นต้นด้วยเลข 1 กับรูปแบบการนำเข้า private key (WIF - Wallet Import Format) ที่เข้ารหัส base58check ซึ่งขึ้นต้นด้วยเลข 5 ตัวอย่างของ version prefix สามารถดูได้ตามตารางด้านล่างนี้

ภาพต่อไปนี้จะทำให้คุณเห็นภาพของกระบวนการแปลง public key ให้เป็น bitcoin address

Compressed Public Keys

ในยุคแรก ๆ ของบิตคอยน์นั้น มีเพียงการสร้าง public key แบบ 65 Bytes เท่านั้น แต่ในเวลาต่อมา เหล่านักพัฒนาในยุคหลังได้พบวิธีการสร้าง public key แบบใหม่ที่มีเพียง 33 Bytes และสามารถทำงานร่วมกันกับโหนดทั้งหมดในขณะนั้นได้ จีงไม่จะเป็นต้องเปลี่ยนแปลงกฎหรือโครงสร้างภายในโปรโตคอลของบิตคอยน์ โดย poublic key แบบใหม่ที่มีขนาด 33 Bytes นี้เรียกว่า compressed public key (public key ที่ถูกบีบอัด) และมีการเรียก public key ที่มีขนาด 65 Bytes ว่า uncompressed public key (public key ที่ไม่ถูกบีบอัด) ซึ่งประโยชน์ของ public key ที่เล็กลงนั้น นอกจากจะช่วยให้การส่ง public key ให้ผู้อื่นทำได้ง่ายขึ้นแล้ว ยังช่วยให้ธุรกรรมมีขนาดเล็กลง และช่วยให้สามารถทำการชำระเงินได้มากขึ้นในบล็อกเดียวกัน

อย่างที่เราได้เรียนรู้จากเนื้อหาในส่วนของ public key เราได้ทราบว่า public key คือจุด (x, y) บนเส้นโค้งวงรี เนื่องจากเส้นโค้งแสดงฟังก์ชันทางคณิตศาสตร์ จุดบนเส้นโค้งจึงเป็นคำตอบของสมการ ดังนั้นหากเรารู้พิกัด x เราก็สามารถคำนวณพิกัด y ได้โดยแก้สมการ y² mod p = (x³ + 7) mod p นั่นหมายความว่าเราสามารถเก็บเพียงพิกัด x ของ public key โดยละพิกัด y ไว้ ซึ่งช่วยลดขนาดของกุญแจและพื้นที่ที่ต้องใช้เก็บข้อมูลลง 256 บิต การลดขนาดลงเกือบ 50% ในทุกธุรกรรมรวมกันแล้วช่วยประหยัดข้อมูลได้มากมายในระยะยาว!

นี่คือ public key ที่ได้ยกเป็นตัวอย่างไว้ก่อนหน้า x = F028892BAD7ED57D2FB57BF33081D5CFCF6F9ED3D3D7F159C2E2FFF579DC341A y = 07CF33DA18BD734C600B96A72BBC4749D5141C90EC8AC328AE52DDFE2E505BDB

และนี่คือ public key ที่มีตัวนำหน้า 04 ตามด้วยพิกัด x และ y ในรูปแบบ 04 x y: K = 04F028892BAD7ED57D2FB57BF33081D5CFCF6F9ED3D3D7F159C2E2FFF579DC341A07CF33DA18BD734C600B96A72BBC4749D5141C90EC8AC328AE52DDFE2E505BDB

uncompressed public key นั้นจะมีตัวนำหน้าเป็น 04 แต่ compressed public key จะมีตัวนำหน้าเป็น 02 หรือ 03 โดยเหตุผลนั้นมาจากสมการ y² mod p = (x³ + 7) mod p เนื่องจากด้านซ้ายของสมการคือ y² คำตอบสำหรับ y จึงเป็นรากที่สอง ซึ่งอาจมีค่าเป็นบวกหรือลบก็ได้ หากมองเชิงภาพ นี่หมายความว่าพิกัด y ที่ได้อาจอยู่เหนือหรือใต้แกน x เราต้องไม่ลืมว่าเส้นโค้งมีความสมมาตร ซึ่งหมายความว่ามันจะสะท้อนเหมือนกระจกโดยแกน x ดังนั้น แม้เราจะละพิกัด y ได้ แต่เราต้องเก็บ เครื่องหมาย ของ y (บวกหรือลบ) หรืออีกนัยหนึ่งคือเราต้องจำว่ามันอยู่เหนือหรือใต้แกน x เพราะแต่ละตำแหน่งแทนจุดที่แตกต่างกันและเป็น public key ที่แตกต่างกัน

เมื่อคำนวณเส้นโค้งวงรีในระบบเลขฐานสองบนสนามจำกัดของเลขจำนวนเฉพาะ p พิกัด y จะเป็นเลขคู่หรือเลขคี่ ซึ่งสอดคล้องกับเครื่องหมายบวก/ลบตามที่อธิบายก่อนหน้านี้ ดังนั้น เพื่อแยกความแตกต่างระหว่างค่าที่เป็นไปได้สองค่าของ y เราจึงเก็บ compressed public key ด้วยตัวนำหน้า 02 ถ้า y เป็นเลขคู่ และ 03 ถ้า y เป็นเลขคี่ ซึ่งช่วยให้ซอฟต์แวร์สามารถอนุมานพิกัด y จากพิกัด x และคลายการบีบอัดของ public key ไปยังพิกัดเต็มของจุดได้อย่างถูกต้อง ดังภาพประกอบต่อไปนี้

นี่คือ public key เดียวกันกับที่ยกตัวอย่างไว้ข้างต้นซึ่งแสดงให้เห็นในรูป compressed public key ที่เก็บใน 264 บิต (66 ตัวอักษรเลขฐานสิบหก) โดยมีตัวนำหน้า 03 ซึ่งบ่งชี้ว่าพิกัด y เป็นเลขคี่: K = 03F028892BAD7ED57D2FB57BF33081D5CFCF6F9ED3D3D7F159C2E2FFF579DC341A compressed public key สอดคล้องกับ private key เดียวกันกับ uncompressed public key หมายความว่ามันถูกสร้างจาก private key เดียวกัน แต่อย่างไรก็ตาม มันก็มีส่วนที่แตกต่างจาก uncompressed public key นั้นคือ หากเราแปลง compressed public key เป็น commitment โดยใช้ฟังก์ชัน HASH160 (RIPEMD160(SHA256(K))) มันจะสร้าง commitment ที่แตกต่างจาก uncompressed public key และจะนำไปสู่ bitcoin address ที่แตกต่างกันในที่สุด สิ่งนี้อาจทำให้สับสนเพราะหมายความว่า private key เดียวสามารถสร้าง public key ในสองรูปแบบที่แตกต่างกัน (แบบบีบอัดและแบบไม่บีบอัด) ซึ่งสร้าง bitcoin address ที่แตกต่างกัน

compressed public key เป็นค่าเริ่มต้นในซอฟต์แวร์บิตคอยน์เกือบทั้งหมดในปัจจุบัน และถูกกำหนดให้ใช้กับคุณสมบัติใหม่บางอย่างที่เพิ่มในการอัปเกรดโปรโตคอลในภายหลัง

อย่างไรก็ตาม ซอฟต์แวร์บางตัวยังคงต้องรองรับ uncompressed public key เช่น แอปพลิเคชันกระเป๋าเงินที่นำเข้า private key จากกระเป๋าเงินเก่า เมื่อกระเป๋าเงินใหม่สแกนบล็อกเชนสำหรับผลลัพธ์และอินพุต P2PKH เก่า มันจำเป็นต้องรู้ว่าควรสแกนกุญแจขนาด 65 ไบต์ (และ commitment ของกุญแจเหล่านั้น) หรือกุญแจขนาด 33 ไบต์ (และ commitment ของกุญแจเหล่านั้น) หากไม่สแกนหาประเภทที่ถูกต้อง อาจทำให้ผู้ใช้ไม่สามารถใช้ยอดคงเหลือทั้งหมดได้ เพื่อแก้ไขปัญหานี้ เมื่อส่งออก private key จากกระเป๋าเงิน WIF ที่ใช้แสดง private key ในกระเป๋าเงินบิตคอยน์รุ่นใหม่จะถูกนำไปใช้แตกต่างกันเล็กน้อยเพื่อบ่งชี้ว่า private key เหล่านี้ถูกใช้ในการสร้าง compressed public key

Legacy: Pay to Script Hash (P2SH)

ตามที่เราได้เห็นในส่วนก่อนหน้านี้ ผู้รับบิตคอยน์ สามารถกำหนดให้การชำระเงินที่ส่งมาให้เขานั้นมีเงื่อนไขบางอย่างในสคริปต์เอาต์พุตได้โดยจะต้องปฏิบัติตามเงื่อนไขเหล่านั้นโดยใช้สคริปต์อินพุตเมื่อเขาใช้จ่ายบิตคอยน์เหล่านั้น ในส่วน IP Addresses: The Original Address for Bitcoin (P2PK) เงื่อนไขก็คือสคริปต์อินพุตต้องให้ลายเซ็นที่เหมาะสม ในส่วน Legacy Addresses for P2PKH นั้นจำเป็นต้องมี public key ที่เหมาะสมด้วย

ส่วนสำหรับผู้ส่งก็จะวางเงื่อนไขที่ผู้รับต้องการในสคริปต์เอาต์พุตที่ใช้จ่ายให้กับผู้รับ โดยผู้รับจะต้องสื่อสารเงื่อนไขเหล่านั้นให้ผู้ส่งทราบ ซึ่งคล้ายกับปัญหาที่บ๊อบต้องสื่อสาร public key ของเขาให้อลิซทราบ และเช่นเดียวกับปัญหานั้นที่ public key อาจมีขนาดค่อนข้างใหญ่ เงื่อนไขที่บ๊อบใช้ก็อาจมีขนาดใหญ่มากเช่นกัน—อาจมีขนาดหลายพันไบต์ นั่นไม่เพียงแต่เป็นข้อมูลหลายพันไบต์ที่ต้องสื่อสารให้อลิซทราบ แต่ยังเป็นข้อมูลหลายพันไบต์ที่เธอต้องจ่ายค่าธรรมเนียมธุรกรรมทุกครั้งที่ต้องการใช้จ่ายเงินให้บ๊อบ อย่างไรก็ตาม การใช้ฟังก์ชันแฮชเพื่อสร้าง commitment ขนาดเล็กสำหรับข้อมูลขนาดใหญ่ก็สามารถนำมาใช้ได้ในกรณีนี้เช่นกัน

ในเวลาต่อมานั้น การอัปเกรด BIP16 สำหรับโปรโตคอลบิตคอยน์ในปี 2012 ได้อนุญาตให้สคริปต์เอาต์พุตสร้าง commitment กับ redemption script (redeem script) ได้ แปลว่าเมื่อบ๊อบใช้จ่ายบิตคอยน์ของเขา ภายในสคริปต์อินพุตของเขานั้นจะต้องให้ redeem script ที่ตรงกับ commitment และข้อมูลที่จำเป็นเพื่อให้เป็นไปตาม redeem script (เช่น ลายเซ็น) เริ่มต้นด้วยการจินตนาการว่าบ๊อบต้องการให้มีลายเซ็นสองอันเพื่อใช้จ่ายบิตคอยน์ของเขา หนึ่งลายเซ็นจากกระเป๋าเงินบนเดสก์ท็อปและอีกหนึ่งจากอุปกรณ์เซ็นแบบฮาร์ดแวร์ เขาใส่เงื่อนไขเหล่านั้นลงใน redeem script: <public key 1> OP_CHECKSIGVERIFY <public key 2> OP_CHECKSIG จากนั้นเขาสร้าง commitment กับ redeem script โดยใช้กลไก HASH160 เดียวกับที่ใช้สำหรับ commitment แบบ P2PKH, RIPEMD160(SHA256(script)) commitment นั้นถูกวางไว้ในสคริปต์เอาต์พุตโดยใช้เทมเพลตพิเศษ: OP_HASH160 <commitment> OP_EQUAL

คำเตือน: เมื่อใช้ pay to script hash (P2SH) คุณต้องใช้เทมเพลต P2SH โดยเฉพาะ ซึ่งจะไม่มีข้อมูลหรือเงื่อนไขเพิ่มเติมในสคริปต์เอาต์พุต หากสคริปต์เอาต์พุตไม่ได้เป็น OP_HASH160 <20 ไบต์> OP_EQUAL แน่นอนว่า redeem script จะไม่ถูกใช้และบิตคอยน์ใด ๆ อาจไม่สามารถใช้จ่ายได้หรืออาจถูกใช้จ่ายได้โดยทุกคน (หมายความว่าใครก็สามารถนำไปใช้ได้)

เมื่อบ๊อบต้องการจ่ายเงินที่เขาได้รับผ่าน commitment สำหรับสคริปต์ของเขา เขาจะใช้สคริปต์อินพุตที่รวมถึง redeem script ซึ่งถูกแปลงให้เป็นข้อมูลอีลิเมนต์เดียว นอกจากนี้เขายังให้ลายเซ็นที่จำเป็นเพื่อให้เป็นไปตาม redeem script โดยเรียงลำดับตามที่จะถูกใช้โดย opcodes: <signature2> <signature1> <redeem script> เมื่อโหนดของบิตคอยน์ได้รับการใช้จ่ายของบ๊อบพวกมันจะตรวจสอบว่า redeem script ที่ถูกแปลงเป็นค่าแฮชแล้วมีค่าเดียวกันกับ commitment มั้ย หลังจากนั้นพวกมันจะแทนที่มันบนสแต็คด้วยค่าที่ถอดรหัสแล้ว: <signature2> <signature1> <pubkey1> OP_CHECKSIGVERIFY <pubkey2> OP_CHECKSIG สคริปต์จะถูกประมวลผล และหากผ่านการตรวจสอบและรายละเอียดธุรกรรมอื่น ๆ ทั้งหมดถูกต้อง ธุรกรรมก็จะถือว่าใช้ได้

address สำหรับ P2SH ก็ถูกสร้างด้วย base58check เช่นกัน คำนำหน้าเวอร์ชันถูกตั้งเป็น 5 ซึ่งทำให้ที่อยู่ที่เข้ารหัสแล้วขึ้นต้นด้วยเลข 3 ตัวอย่างของที่อยู่ P2SH คือ 3F6i6kwkevjR7AsAd4te2YB2zZyASEm1HM

TIP: P2SH ไม่จำเป็นต้องเหมือนกับธุรกรรมแบบหลายลายเซ็น (multisignature) เสมอไป ถึง address P2SH ส่วนใหญ่ แทนสคริปต์แบบหลายลายเซ็นก็ตาม แต่อาจแทนสคริปต์ที่เข้ารหัสธุรกรรมประเภทอื่น ๆ ได้ด้วย

P2PKH และ P2SH เป็นสองเทมเพลตสคริปต์เท่านั้นที่ใช้กับการเข้ารหัสแบบ base58check พวกมันเป็นที่รู้จักในปัจจุบันว่าเป็น address แบบ legacy และกลายเป็นรูปแบบที่พบน้อยลงเรื่อยๆ address แบบ legacy ถูกแทนที่ด้วยaddress ตระกูล bech32

การโจมตี P2SH แบบ Collision

address ทั้งหมดที่อิงกับฟังก์ชันแฮชมีความเสี่ยงในทางทฤษฎีต่อผู้โจมตีที่อาจค้นพบอินพุตเดียวกันที่สร้างเอาต์พุตฟังก์ชันแฮช (commitment) โดยอิสระ ในกรณีของบิตคอยน์ หากพวกเขาค้นพบอินพุตในวิธีเดียวกับที่ผู้ใช้ดั้งเดิมทำ พวกเขาจะรู้ private key ของผู้ใช้และสามารถใช้จ่ายบิตคอยน์ของผู้ใช้นั้นได้ โอกาสที่ผู้โจมตีจะสร้างอินพุตสำหรับ commitment ที่มีอยู่แล้วโดยอิสระนั้นขึ้นอยู่กับความแข็งแกร่งของอัลกอริทึมแฮช สำหรับอัลกอริทึมที่ปลอดภัย 160 บิตอย่าง HASH160 ความน่าจะเป็นอยู่ที่ 1 ใน 2^160 นี่เรียกว่าการโจมตีแบบ preimage attack

ผู้โจมตีสามารถพยายามสร้างข้อมูลนำเข้าสองชุดที่แตกต่างกัน (เช่น redeem scripts) ที่สร้างการเข้ารหัสแบบเดียวกันได้ สำหรับ address ที่สร้างโดยฝ่ายเดียวทั้งหมด โอกาสที่ผู้โจมตีจะสร้างข้อมูลนำเข้าที่แตกต่างสำหรับการเข้ารหัสที่มีอยู่แล้วมีประมาณ 1 ใน 2^160 สำหรับอัลกอริทึม HASH160 นี่คือการโจมตีแบบ second preimage attack

อย่างไรก็ตาม สถานการณ์จะเปลี่ยนไปเมื่อผู้โจมตีสามารถมีอิทธิพลต่อค่าข้อมูลนำเข้าดั้งเดิมได้ ตัวอย่างเช่น ผู้โจมตีมีส่วนร่วมในการสร้างสคริปต์แบบหลายลายเซ็น (multisignature script) ซึ่งพวกเขาไม่จำเป็นต้องส่ง public key ของตนจนกว่าจะทราบ public key ของฝ่ายอื่นทั้งหมด ในกรณีนั้น ความแข็งแกร่งของอัลกอริทึมการแฮชจะลดลงเหลือรากที่สองของมัน สำหรับ HASH160 ความน่าจะเป็นจะกลายเป็น 1 ใน 2^80 นี่คือการโจมตีแบบ collision attack

เพื่อให้เข้าใจตัวเลขเหล่านี้ในบริบทที่ชัดเจน ข้อมูล ณ ต้นปี 2023 นักขุดบิตคอยน์ทั้งหมดรวมกันสามารถประมวลผลฟังก์ชันแฮชประมาณ 2^80 ทุกชั่วโมง พวกเขาใช้ฟังก์ชันแฮชที่แตกต่างจาก HASH160 ดังนั้นฮาร์ดแวร์ที่มีอยู่จึงไม่สามารถสร้างการโจมตีแบบ collision attack สำหรับมันได้ แต่การมีอยู่ของเครือข่ายบิตคอยน์พิสูจน์ว่าการโจมตีแบบชนกันต่อฟังก์ชัน 160 บิตอย่าง HASH160 สามารถทำได้จริงในทางปฏิบัติ นักขุดบิตคอยน์ได้ลงทุนเทียบเท่ากับหลายพันล้านดอลลาร์สหรัฐในฮาร์ดแวร์พิเศษ ดังนั้นการสร้างการโจมตีแบบ collision attack จึงไม่ใช่เรื่องถูก แต่มีองค์กรที่คาดหวังว่าจะได้รับบิตคอยน์มูลค่าหลายพันล้านดอลลาร์ไปยัง address ที่สร้างโดยกระบวนการที่เกี่ยวข้องกับหลายฝ่าย ซึ่งอาจทำให้การโจมตีนี้มีกำไร

มีโปรโตคอลการเข้ารหัสที่เป็นที่ยอมรับอย่างดีในการป้องกันการโจมตีแบบ collision attack แต่วิธีแก้ปัญหาที่ง่ายโดยไม่ต้องใช้ความรู้พิเศษจากผู้พัฒนากระเป๋าเงินคือการใช้ฟังก์ชันแฮชที่แข็งแกร่งกว่า การอัปเกรดบิตคอยน์ในภายหลังทำให้เป็นไปได้ และ address บิตคอยน์ใหม่ให้ความต้านทานการชนกันอย่างน้อย 128 บิต การดำเนินการแฮช 2^128 ครั้งจะใช้เวลานักขุดบิตคอยน์ปัจจุบันทั้งหมดประมาณ 32 พันล้านปี

แม้ว่าเราไม่เชื่อว่ามีภัยคุกคามเร่งด่วนต่อผู้ที่สร้าง address P2SH ใหม่ แต่เราแนะนำให้กระเป๋าเงินใหม่ทั้งหมดใช้ที่อยู่ประเภทใหม่เพื่อขจัดความกังวลเกี่ยวกับการโจมตีแบบ collision attack ของ P2SH address

Bech32 Addresses

ในปี 2017 โปรโตคอลบิตคอยน์ได้รับการอัปเกรด เพื่อป้องกันไม่ให้ตัวระบุธุรกรรม (txids) ไม่สามารถเปลี่ยนแปลงได้ โดยไม่ได้รับความยินยอมจากผู้ใช้ที่ทำการใช้จ่าย (หรือองค์ประชุมของผู้ลงนามเมื่อต้องมีลายเซ็นหลายรายการ) การอัปเกรดนี้เรียกว่า segregated witness (หรือเรียกสั้นๆ ว่า segwit) ซึ่งยังให้ความสามารถเพิ่มเติมสำหรับข้อมูลธุรกรรมในบล็อกและประโยชน์อื่น ๆ อีกหลายประการ แต่อย่างไรก็ตาม หากมีผู้ใช้เก่าที่ต้องการเข้าถึงประโยชน์ของ segwit โดยตรงต้องยอมรับการชำระเงินไปยังสคริปต์เอาต์พุตใหม่

ตามที่ได้กล่าวไว้ใน p2sh หนึ่งในข้อดีของเอาต์พุตประเภท P2SH คือผู้จ่ายไม่จำเป็นต้องรู้รายละเอียดของสคริปต์ที่ผู้รับใช้ การอัปเกรด segwit ถูกออกแบบมาให้ใช้กลไกนี้ได้ดังเดิม จึง ทำให้ผู้จ่ายสามารถเริ่มเข้าถึงประโยชน์ใหม่ ๆ หลายอย่างได้ทันทีโดยใช้ที่อยู่ P2SH แต่เพื่อให้ผู้รับสามารถเข้าถึงประโยชน์เหล่านั้นได้ พวกเขาจำเป็นจะต้องให้กระเป๋าเงินของผู้จ่ายจ่ายเงินให้เขาโดยใช้สคริปต์ประเภทอื่นแทน ซึ่งจะต้องอาศัยการอัปเกรดกระเป๋าเงินของผู้จ่ายเพื่อรองรับสคริปต์ใหม่เหล่านี้

ในช่วงแรก เหล่านักพัฒนาบิตคอยน์ได้นำเสนอ BIP142 ซึ่งจะยังคงใช้ base58check ร่วมกับไบต์เวอร์ชันใหม่ คล้ายกับการอัปเกรด P2SH แต่การให้กระเป๋าเงินทั้งหมดอัปเกรดไปใช้สคริปต์ใหม่ที่มีเวอร์ชัน base58check ใหม่นั้น คาดว่าจะต้องใช้ความพยายามเกือบเท่ากับการให้พวกเขาอัปเกรดไปใช้รูปแบบ address ที่เป็นแบบใหม่ทั้งหมด ด้วยเหตุนี้้เอง ผู้สนับสนุนบิตคอยน์หลายคนจึงเริ่มออกแบบรูปแบบ address ที่ดีที่สุดเท่าที่เป็นไปได้ พวกเขาระบุปัญหาหลายอย่างกับ base58check ไว้ดังนี้:

• การที่ base58check ใช้อักษรที่มีทั้งตัวพิมพ์ใหญ่และตัวพิมพ์เล็กทำให้ไม่สะดวกในการอ่านออกเสียงหรือคัดลอก ลองอ่าน address แบบเก่าในบทนี้ให้เพื่อนฟังและให้พวกเขาคัดลอก คุณจะสังเกตว่าคุณต้องระบุคำนำหน้าทุกตัวอักษรด้วยคำว่า "ตัวพิมพ์ใหญ่" และ "ตัวพิมพ์เล็ก" และเมื่อคุณตรวจสอบสิ่งที่พวกเขาเขียน คุณจะพบว่าตัวพิมพ์ใหญ่และตัวพิมพ์เล็กของตัวอักษรบางตัวอาจดูคล้ายกันในลายมือของคนส่วนใหญ่
• รูปแบบนี้สามารถตรวจจับข้อผิดพลาดได้ แต่ไม่สามารถช่วยผู้ใช้แก้ไขข้อผิดพลาดเหล่านั้น ตัวอย่างเช่น หากคุณสลับตำแหน่งตัวอักษรสองตัวโดยไม่ตั้งใจเมื่อป้อน address ด้วยตนเอง กระเป๋าเงินของคุณจะเตือนว่ามีข้อผิดพลาดเกิดขึ้นแน่นอน แต่จะไม่ช่วยให้คุณค้นพบว่าข้อผิดพลาดอยู่ที่ไหน คุณอาจต้องใช้เวลาหลายนาทีที่น่าหงุดหงิดเพื่อค้นหาข้อผิดพลาดในที่สุด
• การใช้ตัวอักษรที่มีทั้งตัวพิมพ์ใหญ่และตัวพิมพ์เล็กยังต้องใช้พื้นที่เพิ่มเติมในการเข้ารหัสใน QR code ซึ่งนิยมใช้ในการแชร์ address และ invoice ระหว่างกระเป๋าเงิน พื้นที่เพิ่มเติมนี้หมายความว่า QR code จำเป็นต้องมีขนาดใหญ่ขึ้นที่ความละเอียดเดียวกัน หรือไม่เช่นนั้นก็จะยากต่อการสแกนอย่างรวดเร็ว
• การที่ต้องการให้กระเป๋าเงินผู้จ่ายทุกใบอัปเกรดเพื่อรองรับคุณสมบัติโปรโตคอลใหม่ เช่น P2SH และ segwit แม้ว่าการอัปเกรดเองอาจไม่ต้องใช้โค้ดมากนัก แต่ประสบการณ์แสดงให้เห็นว่าผู้พัฒนากระเป๋าเงินหลายรายมักยุ่งกับงานอื่น ๆ และบางครั้งอาจล่าช้าในการอัปเกรดเป็นเวลาหลายปี สิ่งนี้ส่งผลเสียต่อทุกคนที่ต้องการใช้คุณสมบัติใหม่ ๆ เหล่านี้

นักพัฒนาที่ทำงานเกี่ยวกับรูปแบบ address สำหรับ segwit ได้พบวิธีแก้ปัญหาเหล่านี้ทั้งหมดในรูปแบบ address แบบใหม่ที่เรียกว่า bech32 (ออกเสียงด้วย "ch" อ่อน เช่นใน "เบช สามสิบสอง") คำว่า "bech" มาจาก BCH ซึ่งเป็นอักษรย่อของบุคคลสามคนที่ค้นพบรหัสวนนี้ในปี 1959 และ 1960 ซึ่งเป็นพื้นฐานของ bech32 ส่วน "32" หมายถึงจำนวนตัวอักษรในชุดตัวอักษร bech32 (คล้ายกับ 58 ใน base58check):

• Bech32 ใช้เฉพาะตัวเลขและตัวอักษรรูปแบบเดียว (โดยปกติจะแสดงเป็นตัวพิมพ์เล็ก) แม้ว่าชุดตัวอักษรของมันจะมีขนาดเกือบครึ่งหนึ่งของชุดตัวอักษรใน base58check ก็ตามแต่ address bech32 สำหรับสคริปต์ pay to witness public key hash (P2WPKH) ก็ยังยาวกว่า legacy address และมีขนาดเท่ากันกับสคริปต์ P2PKH

• Bech32 สามารถทั้งตรวจจับและช่วยแก้ไขข้อผิดพลาดได้ ใน address ที่มีความยาวตามที่คาดหวังได้ และสามารถรับประกันทางคณิตศาสตร์ได้ว่าจะตรวจพบข้อผิดพลาดใด ๆ ที่ส่งผลกระทบต่อตัวอักษร 4 ตัวหรือน้อยกว่า ซึ่งเชื่อถือได้มากกว่า base58check ส่วนสำหรับข้อผิดพลาดที่ยาวกว่านั้น จะไม่สามารถตรวจพบได้ (โอกาสเกิดน้อยกว่าหนึ่งครั้งในหนึ่งพันล้าน) ซึ่งมีความเชื่อถือได้ประมาณเท่ากับ base58check ยิ่งไปกว่านั้น สำหรับ adddress ที่พิมพ์โดยมีข้อผิดพลาดเพียงเล็กน้อย มันสามารถบอกผู้ใช้ได้ว่าข้อผิดพลาดเหล่านั้นเกิดขึ้นที่ไหน ช่วยให้พวกเขาสามารถแก้ไขข้อผิดพลาดจากการคัดลอกเล็ก ๆ น้อย ๆ ได้อย่างรวดเร็ว

• ตัวอย่างที่ 3 Bech32 address ที่มีข้อผิดพลาด Address: bc1p9nh05ha8wrljf7ru236awn4t2x0d5ctkkywmv9sclnm4t0av2vgs4k3au7 ข้อผิดพลาดที่ตรวจพบแสดงเป็นตัวหนาและขีดเส้นใต้ สร้างโดยใช้โปรแกรมสาธิตการถอดรหัส bech32 address

• bech32 address นิยมเขียนด้วยตัวอักษรพิมพ์เล็กเท่านั้น แต่ตัวอักษรพิมพ์เล็กเหล่านี้สามารถแทนที่ด้วยตัวอักษรพิมพ์ใหญ่ก่อนการเข้ารหัส address ในรหัส QR ได้ วิธีนี้ช่วยให้สามารถใช้โหมดการเข้ารหัส QR แบบพิเศษที่ใช้พื้นที่น้อยกว่า คุณจะสังเกตเห็นความแตกต่างในขนาดและความซับซ้อนของรหัส QR ทั้งสองสำหรับที่อยู่เดียวกันในรูปภาพข้างล่างนี้

- Bech32 ใช้ประโยชน์จากกลไกการอัปเกรดที่ออกแบบมาเป็นส่วนหนึ่งของ segwit เพื่อทำให้กระเป๋าเงินผู้จ่ายสามารถจ่ายเงินไปยังประเภทเอาต์พุตที่ยังไม่ได้ใช้งานได้ โดยมีเป้าหมายคือการอนุญาตให้นักพัฒนาสร้างกระเป๋าเงินในวันนี้ที่สามารถใช้จ่ายไปยัง bech32 address และทำให้กระเป๋าเงินนั้นยังคงสามารถใช้จ่ายไปยัง bech32address ได้สำหรับผู้ใช้คุณสมบัติใหม่ที่เพิ่มในการอัปเกรดโปรโตคอลในอนาคต โดยที่มีความหวังว่าเราอาจไม่จำเป็นต้องผ่านรอบการอัปเกรดทั้งระบบอีกต่อไป ซึ่งจำเป็นสำหรับการให้ผู้คนใช้งาน P2SH และ segwit ได้อย่างเต็มรูปแบบ

• Problems with Bech32 Addresses

  address แบบ bech32 ประสบความสำเร็จในทุกด้านยกเว้นปัญหาหนึ่ง คือการรับประกันทางคณิตศาสตร์เกี่ยวกับความสามารถในการตรวจจับข้อผิดพลาดจะใช้ได้เฉพาะเมื่อความยาวของ address ที่คุณป้อนเข้าไปในกระเป๋าเงินมีความยาวเท่ากับ address ดั้งเดิมเท่านั้น หากคุณเพิ่มหรือลบตัวอักษรใด ๆ ระหว่างการคัดลอกจะทำให้ไม่สามารถตรวจจับได้ การรับประกันนี้จะไม่มีผล และกระเป๋าเงินของคุณอาจใช้จ่ายเงินไปยัง address ที่ไม่ถูกต้อง แต่อย่างไรก็ตาม แม้จะไม่มีคุณสมบัตินี้ มีความเชื่อว่าเป็นไปได้ยากมากที่ผู้ใช้ที่เพิ่มหรือลบตัวอักษรจะสร้างสตริงที่มีผลรวมตรวจสอบที่ถูกต้อง ซึ่งช่วยให้มั่นใจได้ว่าเงินของผู้ใช้จะปลอดภัย

น่าเสียดายที่การเลือกใช้ค่าคงที่ตัวหนึ่งในอัลกอริทึม bech32 บังเอิญทำให้การเพิ่มหรือลบตัวอักษร "q" ในตำแหน่งที่สองจากท้ายของ address ที่ลงท้ายด้วยตัวอักษร "p" เป็นเรื่องง่ายมาก ในกรณีเหล่านั้น คุณยังสามารถเพิ่มหรือลบตัวอักษร "q" หลายครั้งได้ด้วย ข้อผิดพลาดนี้จะถูกตรวจจับโดยผลรวมตรวจสอบ (checksum) ในบางครั้ง แต่จะถูกมองข้ามบ่อยกว่าความคาดหวังหนึ่งในพันล้านสำหรับข้อผิดพลาดจากการแทนที่ของ bech32 อย่างมาก สำหรับตัวอย่างสามารถดูได้ในรูปภาพข้างล่างนี้

ตัวอย่างที่ 4. การขยายความยาวของ bech32 address โดยไม่ทำให้ผลรวมตรวจสอบเป็นโมฆะ ``` bech32 address ที่ถูกต้อง: bc1pqqqsq9txsqp

address ที่ไม่ถูกต้องแต่มีผลรวมตรวจสอบที่ถูกต้อง: bc1pqqqsq9txsqqqqp bc1pqqqsq9txsqqqqqqp bc1pqqqsq9txsqqqqqqqqp bc1pqqqsq9txsqqqqqqqqqp bc1pqqqsq9txsqqqqqqqqqqqp ```

จากตัวอย่างนี้ คุณจะเห็นว่าแม้มีการเพิ่มตัวอักษร "q" เข้าไปหลายตัวก่อนตัวอักษร "p" ตัวสุดท้าย ระบบตรวจสอบก็ยังคงยอมรับว่า address เหล่านี้ถูกต้อง นี่เป็นข้อบกพร่องสำคัญของ bech32 เพราะอาจทำให้เงินถูกส่งไปยัง address ที่ไม่มีใครเป็นเจ้าของจริง ๆ หรือ address ที่ไม่ได้ตั้งใจจะส่งไป

สำหรับเวอร์ชันเริ่มต้นของ segwit (เวอร์ชัน 0) ปัญหานี้ไม่ใช่ความกังวลในทางปฏิบัติ เพราะมีความยาวที่ถูกต้องมีเพียงสองแบบที่กำหนดไว้สำหรับเอาต์พุต นั้นคือ 22 Byte และ 34 Byte ซึ่งสอดคล้องกับ bech32 address ที่มีความยาวยาวที่ 42 หรือ 62 ตัวอักษร ดังนั้นคนจะต้องเพิ่มหรือลบตัวอักษร "q" จากตำแหน่งที่สองจากท้ายของ bech32 address ถึง 20 ครั้งเพื่อส่งเงินไปยัง address ที่ไม่ถูกต้องโดยที่กระเป๋าเงินไม่สามารถตรวจจับได้ อย่างไรก็ตาม มันอาจกลายเป็นปัญหาสำหรับผู้ใช้ในอนาคตหากมีการนำการอัปเกรดบนพื้นฐานของ segwit มาใช้

Bech32m

แม้ว่า bech32 จะทำงานได้ดีสำหรับ segwit v0 แต่นักพัฒนาไม่ต้องการจำกัดขนาดเอาต์พุตโดยไม่จำเป็นในเวอร์ชันหลังๆ ของ segwit หากไม่มีข้อจำกัด การเพิ่มหรือลบตัวอักษร "q" เพียงตัวเดียวใน bech32 address อาจทำให้ผู้ใช้ส่งเงินโดยไม่ตั้งใจไปยังเอาต์พุตที่ไม่สามารถใช้จ่ายได้หรือสามารถใช้จ่ายได้โดยทุกคน (ทำให้บิตคอยน์เหล่านั้นถูกนำไปโดยทุกคนได้) นักพัฒนาได้วิเคราะห์ปัญหา bech32 อย่างละเอียดและพบว่าการเปลี่ยนค่าคงที่เพียงตัวเดียวในอัลกอริทึมของพวกเขาจะขจัดปัญหานี้ได้ ทำให้มั่นใจว่าการแทรกหรือลบตัวอักษรสูงสุดห้าตัวจะไม่ถูกตรวจจับน้อยกว่าหนึ่งครั้งในหนึ่งพันล้านเท่านั้น

เวอร์ชันของ bech32 ที่มีค่าคงที่เพียงหนึ่งตัวที่แตกต่างกันเรียกว่า bech32 แบบปรับแต่ง (bech32m) ตัวอักษรทั้งหมดใน address แบบ bech32 และ bech32m สำหรับข้อมูลพื้นฐานเดียวกันจะเหมือนกันทั้งหมด ยกเว้นหกตัวสุดท้าย (ซึ่งเป็นส่วนของ checksum) นั่นหมายความว่ากระเป๋าเงินจำเป็นต้องรู้ว่ากำลังใช้เวอร์ชันใดเพื่อตรวจสอบความถูกต้องของ checksum แต่ address ทั้งสองประเภทมีไบต์เวอร์ชันภายในที่ทำให้การระบุเวอร์ชันที่ใช้อยู่เป็นเรื่องที่ง่าย ในการทำงานกับทั้ง bech32 และ bech32m เราจะพิจารณากฎการเข้ารหัสและการแยกวิเคราะห์สำหรับ address บิตคอยน์แบบ bech32m เนื่องจากพวกมันครอบคลุมความสามารถในการแยกวิเคราะห์บน address แบบ bech32 และเป็นรูปแบบ address ที่แนะนำในปัจจุบันสำหรับกระเป๋าเงินบิตคอยน์

ข้อความจากหลาม: คือผมว่าตรงนี้เขาเขียนไม่รู้เรื่อง แต่เดาว่าเขาน่าจะสื่อว่า เราควรเรียนรู้วิธีการทำงานกับ bech32m เพราะมันเป็นรูปแบบที่แนะนำให้ใช้ในปัจจุบัน และมันมีข้อดีเพราะbech32m สามารถรองรับการอ่าน address แบบ bech32 แบบเก่าได้ด้วย ง่ายๆ คือ ถ้าคุณเรียนรู้วิธีทำงานกับ bech32m คุณจะสามารถทำงานกับทั้ง bech32m และ bech32 ได้ทั้งสองแบบ

bech32m address ริ่มต้นด้วยส่วนที่มนุษย์อ่านได้ (Human Readable Part: HRP) BIP173 มีกฎสำหรับการสร้าง HRP ของคุณเอง แต่สำหรับบิตคอยน์ คุณเพียงแค่จำเป็นต้องรู้จัก HRP ที่ถูกเลือกไว้แล้วตามที่แสดงในตารางข้างล่างนี้

ส่วน HRP ตามด้วยตัวคั่น ซึ่งก็คือเลข "1" ในข้อเสนอก่อนหน้านี้สำหรับตัวคั่นโปรโตคอลได้ใช้เครื่องหมายทวิภาค (colon) แต่ระบบปฏิบัติการและแอปพลิเคชันบางตัวที่อนุญาตให้ผู้ใช้ดับเบิลคลิกคำเพื่อไฮไลต์สำหรับการคัดลอกและวางนั้นจะไม่ขยายการไฮไลต์ไปถึงและผ่านเครื่องหมายทวิภาค

การใช้ตัวเลขช่วยให้มั่นใจได้ว่าการไฮไลต์ด้วยดับเบิลคลิกจะทำงานได้กับโปรแกรมใดๆ ที่รองรับสตริง bech32m โดยทั่วไป (ซึ่งรวมถึงตัวเลขอื่นๆ ด้วย) เลข "1" ถูกเลือกเพราะสตริง bech32 ไม่ได้ใช้เลข 1 ในกรณีอื่น เพื่อป้องกันการแปลงโดยไม่ตั้งใจระหว่างเลข "1" กับตัวอักษรพิมพ์เล็ก "l"

และส่วนอื่นของ bech32m address เรียกว่า "ส่วนข้อมูล" (data part) ซึ่งประกอบด้วยสามองค์ประกอบ:

• Witness version: ไบต์ถัดไปหลังจากตัวคั่นตัวอักษรนี้แทนเวอร์ชันของ segwit ตัวอักษร "q" คือการเข้ารหัสของ "0" สำหรับ segwit v0 ซึ่งเป็นเวอร์ชันแรกของ segwit ที่มีการแนะนำที่อยู่ bech32 ตัวอักษร "p" คือการเข้ารหัสของ "1" สำหรับ segwit v1 (หรือเรียกว่า taproot) ซึ่งเริ่มมีการใช้งาน bech32m มีเวอร์ชันที่เป็นไปได้ทั้งหมด 17 เวอร์ชันของ segwit และสำหรับ Bitcoin จำเป็นต้องให้ไบต์แรกของส่วนข้อมูล bech32m ถอดรหัสเป็นตัวเลข 0 ถึง 16 (รวมทั้งสองค่า)
• Witness program: คือตำแหน่งหลังจาก witnessversion ตั้งแต่ตำแหน่ง 2 ถึง 40 Byte สำหรับ segwit v0 นี้ต้องมีความยาว 20 หรือ 32 Byte ไม่สามารถ ffมีขนาดอื่นได้ สำหรับ segwit v1 ความยาวเดียวที่ถูกกำหนดไว้ ณ เวลาที่เขียนนี้คือ 32 ไบต์ แต่อาจมีการกำหนดความยาวอื่น ๆ ได้ในภายหลัง
• Checksum: มีความยาว 6 ตัวอักษร โดยส่วนนี้ถูกสร้างขึ้นโดยใช้รหัส BCH ซึ่งเป็นประเภทของรหัสแก้ไขข้อผิดพลาด (error corection code) (แต่อย่างไรก็ตาม สำหรับ address บิตคอยน์ เราจะเห็นในภายหลังว่าเป็นสิ่งสำคัญที่จะใช้ checksum เพื่อการตรวจจับข้อผิดพลาดเท่านั้น—ไม่ใช่การแก้ไข

ในส่วนต่อไปหลังจากนี้เราจะลองสร้าง address แบบ bech32 และ bech32m สำหรับตัวอย่างทั้งหมดต่อไปนี้ เราจะใช้โค้ดอ้างอิง bech32m สำหรับ Python

เราจะเริ่มด้วยการสร้างสคริปต์เอาต์พุตสี่ตัว หนึ่งตัวสำหรับแต่ละเอาต์พุต segwit ที่แตกต่างกันที่ใช้ในช่วงเวลาของการเผยแพร่ บวกกับอีกหนึ่งตัวสำหรับเวอร์ชัน segwit ในอนาคตที่ยังไม่มีความหมายที่กำหนดไว้ สคริปต์เหล่านี้แสดงอยู่ในตารางข้างล่างนี้

สำหรับเอาต์พุต P2WPKH witness program มีการผูก commitment ที่สร้างขึ้นในลักษณะเดียวกันกับ P2PKH ที่เห็นใน Legacy Addresses for P2PKH โดย public key ถูกส่งเข้าไปในฟังก์ชันแฮช SHA256 ไดเจสต์ขนาด 32 ไบต์ที่ได้จะถูกส่งเข้าไปในฟังก์ชันแฮช RIPEMD-160 ไดเจสต์ของฟังก์ชันนั้น จะถูกวางไว้ใน witness program

สำหรับเอาต์พุตแบบ pay to witness script hash (P2WSH) เราไม่ได้ใช้อัลกอริทึม P2SH แต่เราจะนำสคริปต์ ส่งเข้าไปในฟังก์ชันแฮช SHA256 และใช้ไดเจสต์ขนาด 32 ไบต์ของฟังก์ชันนั้นใน witness program สำหรับ P2SH ไดเจสต์ SHA256 จะถูกแฮชอีกครั้งด้วย RIPEMD-160 ซึ่งแน่นอนว่าอาจจะไม่ปลอดภัย ในบางกรณี สำหรับรายละเอียด ดูที่ P2SH Collision Attacks ผลลัพธ์ของการใช้ SHA256 โดยไม่มี RIPEMD-160 คือ การผูกพันแบบ P2WSH มีขนาด 32 ไบต์ (256 บิต) แทนที่จะเป็น 20 ไบต์ (160 บิต)

สำหรับเอาต์พุตแบบ pay-to-taproot (P2TR) witness program คือจุดบนเส้นโค้ง secp256k1 มันอาจเป็น public key แบบธรรมดา แต่ในกรณีส่วนใหญ่มันควรเป็น public key ที่ผูกพันกับข้อมูลเพิ่มเติมบางอย่าง เราจะเรียนรู้เพิ่มเติมเกี่ยวกับการผูกพันนั้นในหัวข้อของ taproot

สำหรับตัวอย่างของเวอร์ชัน segwit ในอนาคต เราเพียงแค่ใช้หมายเลขเวอร์ชัน segwit ที่สูงที่สุดที่เป็นไปได้ (16) และ witness program ที่มีขนาดเล็กที่สุดที่อนุญาต (2 ไบต์) โดยมีค่าเป็นศูนย์ (null value)

เมื่อเรารู้หมายเลขเวอร์ชันและ witness program แล้ว เราสามารถแปลงแต่ละอย่างให้เป็น bech32 address ได้ โดยการใช้ไลบรารีอ้างอิง bech32m สำหรับ Python เพื่อสร้าง address เหล่านั้นอย่างรวดเร็ว และจากนั้นมาดูอย่างละเอียดว่าเกิดอะไรขึ้น:

``` $ github=" https://raw.githubusercontent.com" $ wget $github/sipa/bech32/master/ref/python/segwit_addr.py $ python

from segwit_addr import * from binascii import unhexlify help(encode) encode(hrp, witver, witprog) Encode a segwit address. encode('bc', 0, unhexlify('2b626ed108ad00a944bb2922a309844611d25468')) 'bc1q9d3xa5gg45q2j39m9y32xzvygcgay4rgc6aaee' encode('bc', 0, unhexlify('648a32e50b6fb7c5233b228f60a6a2ca4158400268844c4bc295ed5e8c3d626f')) 'bc1qvj9r9egtd7mu2gemy28kpf4zefq4ssqzdzzycj7zjhk4arpavfhsct5a3p' encode('bc', 1, unhexlify('2ceefa5fa770ff24f87c5475d76eab519eda6176b11dbe1618fcf755bfac5311')) 'bc1p9nh05ha8wrljf7ru236awm4t2x0d5ctkkywmu9sclnm4t0av2vgs4k3au7' encode('bc', 16, unhexlify('0000')) 'bc1sqqqqkfw08p' หากเราเปิดไฟล์ segwit_addr.py และดูว่าโค้ดกำลังทำอะไร สิ่งแรกที่เราจะสังเกตเห็นคือความแตกต่างเพียงอย่างเดียวระหว่าง bech32 (ที่ใช้สำหรับ segwit v0) และ bech32m (ที่ใช้สำหรับเวอร์ชัน segwit รุ่นหลัง) คือค่าคงที่: BECH32_CONSTANT = 1 BECH32M_CONSTANT = 0x2bc830a3 ```

และในส่วนต่อไป เราจะเห็นโค้ดที่สร้าง checksum ในขั้นตอนสุดท้ายของการสร้าง checksum ค่าคงที่ที่เหมาะสมถูกรวมเข้ากับข้อมูลอื่น ๆ โดยใช้การดำเนินการ xor ค่าเดียวนั้นคือความแตกต่างเพียงอย่างเดียวระหว่าง bech32 และ bech32m

เมื่อสร้าง checksum แล้ว อักขระ 5 บิตแต่ละตัวในส่วนข้อมูล (รวมถึง witness version, witness program และ checksum) จะถูกแปลงเป็นตัวอักษรและตัวเลข

สำหรับการถอดรหัสกลับเป็นสคริปต์เอาต์พุต เราทำงานย้อนกลับ ลองใช้ไลบรารีอ้างอิงเพื่อถอดรหัส address สอง address ของเรา: ```

help(decode) decode(hrp, addr) Decode a segwit address. _ = decode("bc", "bc1q9d3xa5gg45q2j39m9y32xzvygcgay4rgc6aaee") [0], bytes([1]).hex() (0, '2b626ed108ad00a944bb2922a309844611d25468') _ = decode("bc", "bc1p9nh05ha8wrljf7ru236awm4t2x0d5ctkkywmu9sclnm4t0av2vgs4k3au7") [0], bytes([1]).hex() (1, '2ceefa5fa770ff24f87c5475d76eab519eda6176b11dbe1618fcf755bfac5311') เราได้รับทั้ง witness version และ witness program กลับมา สิ่งเหล่านี้สามารถแทรกลงในเทมเพลตสำหรับสคริปต์เอาต์พุตของเรา: ตัวอย่างเช่น: OP_0 2b626ed108ad00a944bb2922a309844611d25468 OP_1 2ceefa5fa770ff24f87c5475d76eab519eda6176b11dbe1618fcf755bfac5311 ``` คำเตือน: ข้อผิดพลาดที่อาจเกิดขึ้นที่ควรระวังคือ witness version ที่มีค่า 0 ใช้สำหรับ OP_0 ซึ่งใช้ไบต์ 0x00—แต่เวอร์ชัน witness ที่มีค่า 1 ใช้ OP_1 ซึ่งเป็นไบต์ 0x51 เวอร์ชัน witness 2 ถึง 16 ใช้ไบต์ 0x52 ถึง 0x60 ตามลำดับ

เมื่อทำการเขียนโค้ดเพื่อเข้ารหัสหรือถอดรหัส bech32m เราขอแนะนำอย่างยิ่งให้คุณใช้เวกเตอร์ทดสอบ (test vectors) ที่มีให้ใน BIP350 เราขอให้คุณตรวจสอบให้แน่ใจว่าโค้ดของคุณผ่านเวกเตอร์ทดสอบที่เกี่ยวข้องกับการจ่ายเงินให้กับเวอร์ชัน segwit ในอนาคตที่ยังไม่ได้รับการกำหนด สิ่งนี้จะช่วยให้ซอฟต์แวร์ของคุณสามารถใช้งานได้อีกหลายปีข้างหน้า แม้ว่าคุณอาจจะไม่สามารถเพิ่มการรองรับคุณสมบัติใหม่ ๆ ของบิตคอยน์ได้ทันทีที่คุณสมบัตินั้น ๆ เริ่มใช้งานได้

Private Key Formats

private key สามารถถูกแสดงได้ในหลาย ๆ รูปแบบที่ต่างกันซึ่งสามารถแปลงเป็นตัวเลขขนาด 256 bit ชุดเดียวกันได้ ดังที่เราจะแสดงให้ดูในตารางข้างล่างนี้ รูปแบบที่แตกต่างกันถูกใช้ในสถานการณ์ที่ต่างกัน รูปแบบเลขฐานสิบหก (Hexadecimal) และรูปแบบไบนารี (raw binary) ถูกใช้ภายในซอฟต์แวร์และแทบจะไม่แสดงให้ผู้ใช้เห็น WIF ถูกใช้สำหรับการนำเข้า/ส่งออกกุญแจระหว่างกระเป๋าเงินและมักใช้ในการแสดงกุญแจส่วนตัวแบบ QR code

รูปแบบของ private key ในปัจจุบัน

ซอฟต์แวร์กระเป๋าเงินบิตคอยน์ในยุคแรกได้สร้าง private key อิสระอย่างน้อยหนึ่งดอกเมื่อกระเป๋าเงินของผู้ใช้ใหม่ถูกเริ่มต้น เมื่อชุดกุญแจเริ่มต้นถูกใช้ทั้งหมดแล้ว กระเป๋าเงินอาจสร้าง private key เพิ่มเติม private key แต่ละดอกสามารถส่งออกหรือนำเข้าได้ ทุกครั้งที่มีการสร้างหรือนำเข้า private key ใหม่ จะต้องมีการสร้างการสำรองข้อมูลกระเป๋าเงินใหม่ด้วย

กระเป๋าเงินบิตคอยน์ในยุคหลังเริ่มใช้กระเป๋าเงินแบบกำหนดได้ (deterministic wallets) ซึ่ง private key ทั้งหมดถูกสร้างจาก seed เพียงค่าเดียว กระเป๋าเงินเหล่านี้จำเป็นต้องสำรองข้อมูลเพียงครั้งเดียวเท่านั้นสำหรับการใช้งานบนเชนทั่วไป แต่อย่างไรก็ตาม หากผู้ใช้ส่งออก private key เพียงดอกเดียวจากกระเป๋าเงินเหล่านี้ และผู้โจมตีได้รับกุญแจนั้นรวมถึงข้อมูลที่ไม่ใช่ข้อมูลส่วนตัวบางอย่างเกี่ยวกับกระเป๋าเงิน พวกเขาอาจสามารถสร้างกุญแจส่วนตัวใด ๆ ในกระเป๋าเงินได้—ทำให้ผู้โจมตีสามารถขโมยเงินทั้งหมดในกระเป๋าเงินได้ นอกจากนี้ ยังไม่สามารถนำเข้ากุญแจสู่กระเป๋าเงินแบบกำหนดได้ นี่หมายความว่าแทบไม่มีกระเป๋าเงินสมัยใหม่ที่รองรับความสามารถในการส่งออกหรือนำเข้ากุญแจเฉพาะดอก ข้อมูลในส่วนนี้มีความสำคัญหลัก ๆ สำหรับผู้ที่ต้องการความเข้ากันได้กับกระเป๋าเงินบิตคอยน์ในยุคแรก ๆ

รูปแบบของ private key (รูปแบบการเข้ารหัส) private key เดียวกันในแต่ละ format รูปแบบการแสดงผลทั้งหมดเหล่านี้เป็นวิธีต่างๆ ในการแสดงเลขจำนวนเดียวกัน private key เดียวกัน พวกมันดูแตกต่างกัน แต่รูปแบบใดรูปแบบหนึ่งสามารถแปลงไปเป็นรูปแบบอื่นได้อย่างง่ายดาย

Compressed Private Keys

คำว่า compressed private key ที่ใช้กันทั่วไปนั้นเป็นคำที่เรียกผิด เพราะเมื่อ private key ถูกส่งออกไปในรูปแบบ WIF-compressed มันจะมีความยาวมากกว่า private key แบบ uncompressed 1 Byte (เลข 01 ในช่อง Hex-compressed ในตารางด้านล่างนี้) ซึ่งบ่งบอกว่า private key ตัวนี้ มาจากกระเป๋าเงินรุ่นใหม่และควรใช้เพื่อสร้าง compressed public key เท่านั้น

private key เองไม่ได้ถูกบีบอัดและไม่สามารถบีบอัดได้ คำว่า compressed private key จริงๆ แล้วหมายถึง " private key ซึ่งควรใช้สร้าง compressed public key เท่านั้น" ในขณะที่ uncompressed private key จริงๆ แล้วหมายถึง “private key ซึ่งควรใช้สร้าง uncompressed public key เท่านั้น” คุณควรใช้เพื่ออ้างถึงรูปแบบการส่งออกเป็น "WIF-compressed" หรือ "WIF" เท่านั้น และไม่ควรอ้างถึง private key ว่า "บีบอัด" เพื่อหลีกเลี่ยงความสับสนต่อไป

ตารางนี้แสดงกุญแจเดียวกันที่ถูกเข้ารหัสในรูปแบบ WIF และ WIF-compressed

ตัวอย่าง: กุญแจเดียวกัน แต่รูปแบบต่างกัน

สังเกตว่ารูปแบบ Hex-compressed มีไบต์เพิ่มเติมหนึ่งไบต์ที่ท้าย (01 ในเลขฐานสิบหก) ในขณะที่คำนำหน้าเวอร์ชันการเข้ารหัสแบบ base58 เป็นค่าเดียวกัน (0x80) สำหรับทั้งรูปแบบ WIF และ WIF-compressed การเพิ่มหนึ่งไบต์ที่ท้ายของตัวเลขทำให้อักขระตัวแรกของการเข้ารหัสแบบ base58 เปลี่ยนจาก 5 เป็น K หรือ L

คุณสามารถคิดถึงสิ่งนี้เหมือนกับความแตกต่างของการเข้ารหัสเลขฐานสิบระหว่างตัวเลข 100 และตัวเลข 99 ในขณะที่ 100 มีความยาวมากกว่า 99 หนึ่งหลัก มันยังมีคำนำหน้าเป็น 1 แทนที่จะเป็นคำนำหน้า 9 เมื่อความยาวเปลี่ยนไป มันส่งผลต่อคำนำหน้า ในระบบ base58 คำนำหน้า 5 เปลี่ยนเป็น K หรือ L เมื่อความยาวของตัวเลขเพิ่มขึ้นหนึ่งไบต์

TIPจากหลาม: ผมว่าเขาเขียนย่อหน้านี้ไม่ค่อยรู้เรื่อง แต่ความหมายมันจะประมาณว่า เหมือนถ้าเราต้องการเขียนเลข 100 ในฐาน 10 เราต้องใช้สามตำแหน่ง 100 แต่ถ้าใช้ฐาน 16 เราจะใช้แค่ 2 ตำแหน่งคือ 64 ซึ่งมีค่าเท่ากัน

ถ้ากระเป๋าเงินบิตคอยน์สามารถใช้ compressed public key ได้ มันจะใช้ในทุกธุรกรรม private key ในกระเป๋าเงินจะถูกใช้เพื่อสร้างจุด public key บนเส้นโค้ง ซึ่งจะถูกบีบอัด compressed public key จะถูกใช้เพื่อสร้าง address และ address เหล่านี้จะถูกใช้ในธุรกรรม เมื่อส่งออก private key จากกระเป๋าเงินใหม่ที่ใช้ compressed public key WIF จะถูกปรับเปลี่ยน โดยเพิ่มต่อท้ายขนาด 1 ไบต์ 01 ให้กับ private key ที่ถูกเข้ารหัสแบบ base58check ที่ได้จะเรียกว่า "WIF-compressed" และจะขึ้นต้นด้วยอักษร K หรือ L แทนที่จะขึ้นต้นด้วย "5" เหมือนกับกรณีของคีย์ที่เข้ารหัสแบบ WIF (ไม่บีบอัด) จากกระเป๋าเงินรุ่นเก่า

Advanced Keys and Addresses

ในส่วนต่อไปนี้ เราจะดูรูปแบบของคีย์และ address เช่น vanity addresses และ paper wallets

vanity addresses

vanity addresses หรือ addresses แบบกำหนดเอง คือ address ที่มีข้อความที่มนุษย์อ่านได้และสามารถใช้งานได้จริง ตัวอย่างเช่น 1LoveBPzzD72PUXLzCkYAtGFYmK5vYNR33 อย่างที่เห็นว่ามันเป็น address ที่ถูกต้องซึ่งมีตัวอักษรเป็นคำว่า Love เป็นตัวอักษร base58 สี่ตัวแรก addresses แบบกำหนดเองต้องอาศัยการสร้างและทดสอบ private key หลายพันล้านตัวจนกว่าจะพบ address ที่มีรูปแบบตามที่ต้องการ แม้ว่าจะมีการปรับปรุงบางอย่างในอัลกอริทึมการสร้าง addresses แบบกำหนดเอง แต่กระบวนการนี้ต้องใช้การสุ่มเลือก private key มาสร้าง public key และนำไปสร้าง address และตรวจสอบว่าตรงกับรูปแบบที่ต้องการหรือไม่ โดยทำซ้ำหลายพันล้านครั้งจนกว่าจะพบที่ตรงกัน

เมื่อพบ address ที่ตรงกับรูปแบบที่ต้องการแล้ว private key ที่ใช้สร้าง address นั้นสามารถใช้โดยเจ้าของเพื่อใช้จ่ายบิตคอยน์ได้เหมือนกับ address อื่น ๆ ทุกประการ address ที่กำหนดเองไม่ได้มีความปลอดภัยน้อยกว่าหรือมากกว่าที่ address ๆ พวกมันขึ้นอยู่กับการเข้ารหัสเส้นโค้งรูปวงรี (ECC) และอัลกอริทึมแฮชที่ปลอดภัย (SHA) เหมือนกับ address อื่น ๆ คุณไม่สามารถค้นหา private key ของ address ที่ขึ้นต้นด้วยรูปแบบที่กำหนดเองได้ง่ายกว่า address อื่น ๆ

ตัวอย่างเช่น ยูจีเนียเป็นผู้อำนวยการการกุศลเพื่อเด็กที่ทำงานในฟิลิปปินส์ สมมติว่ายูจีเนียกำลังจัดการระดมทุนและต้องการใช้ address ที่กำหนดเองเพื่อประชาสัมพันธ์การระดมทุน ยูจีเนียจะสร้าง address ที่กำหนดเองที่ขึ้นต้นด้วย "1Kids" เพื่อส่งเสริมการระดมทุนเพื่อการกุศลสำหรับเด็ก มาดูกันว่า address ที่กำหนดเองนี้จะถูกสร้างขึ้นอย่างไรและมีความหมายอย่างไรต่อความปลอดภัยของการกุศลของยูจีเนีย

การสร้าง address ที่กำหนดเอง

ควรเข้าใจว่า address ของบิตคอยน์เป็นเพียงตัวเลขที่แสดงด้วยสัญลักษณ์ในรูปแบบตัวอักษร base58 เท่านั้น เพราะฉะนั้นแล้ว การค้นหารูปแบบเช่น "1Kids" สามารถมองได้ว่าเป็นการค้นหาที่อยู่ในช่วงตั้งแต่ 1Kids11111111111111111111111111111 ถึง 1Kidszzzzzzzzzzzzzzzzzzzzzzzzzzzzz มีประมาณ 5829 (ประมาณ 1.4 × 1051) address ในช่วงนั้น ทั้งหมดขึ้นต้นด้วย "1Kids" ตารางด้านล่างนี้แสดงช่วงของ address ที่มีคำนำหน้า 1Kids ลองดูรูปแบบ "1Kids" ในรูปของตัวเลขและดูว่าเราอาจพบรูปแบบนี้ใน bitcoin address บ่อยแค่ไหน โดยตารางข้างล่างนี้แสดงให้เห็นถีงคอมพิวเตอร์เดสก์ท็อปทั่วไปที่ไม่มีฮาร์ดแวร์พิเศษสามารถค้นหาคีย์ได้ประมาณ 100,000 คีย์ต่อวินาที

ความถี่ของ address ที่กำหนดเอง (1KidsCharity) และเวลาค้นหาเฉลี่ยบนคอมพิวเตอร์เดสก์ท็อป

ดังที่เห็นได้ ยูจีเนียคงไม่สามารถสร้าง address แบบกำหนดเอง "1KidsCharity" ได้ในเร็ว ๆ นี้ แม้ว่าเธอจะมีคอมพิวเตอร์หลายพันเครื่องก็ตาม ทุกตัวอักษรที่เพิ่มขึ้นจะเพิ่มความยากขึ้น 58 เท่า รูปแบบที่มีมากกว่า 7 ตัวอักษรมักจะถูกค้นพบโดยฮาร์ดแวร์พิเศษ เช่น คอมพิวเตอร์เดสก์ท็อปที่สร้างขึ้นเป็นพิเศษที่มีหน่วยประมวลผลกราฟิก (GPUs) หลายตัว การค้นหา address แบบกำหนดเองบนระบบ GPU เร็วกว่าบน CPU ทั่วไปหลายเท่า

อีกวิธีหนึ่งในการหา address แบบกำหนดเองคือการจ้างงานไปยังกลุ่มคนขุด vanity addresses กลุ่มคนขุดvanity addresses เป็นบริการที่ให้ผู้ที่มีฮาร์ดแวร์ที่เร็วได้รับบิตคอยน์จากการค้นหา vanity addresses ให้กับผู้อื่น ยูจีเนียสามารถจ่ายค่าธรรมเนียมเพื่อจ้างงานการค้นหา vanity addresses ที่มีรูปแบบ 7 ตัวอักษรและได้ผลลัพธ์ในเวลาเพียงไม่กี่ชั่วโมงแทนที่จะต้องใช้ CPU ค้นหาเป็นเดือน ๆ

การสร้างที่ address แบบกำหนดเองเป็นการใช้วิธีการแบบ brute-force (ลองทุกความเป็นไปได้): ลองใช้คีย์สุ่ม ตรวจสอบ address ที่ได้ว่าตรงกับรูปแบบที่ต้องการหรือไม่ และทำซ้ำจนกว่าจะสำเร็จ

ความปลอดภัยและความเป็นส่วนตัวของ address แบบกำหนดเอง

address แบบกำหนดเองเคยเป็นที่นิยมในช่วงแรก ๆ ของบิตคอยน์ แต่แทบจะหายไปจากการใช้งานทั้งหมดในปี 2023 มีสาเหตุที่น่าจะเป็นไปได้สองประการสำหรับแนวโน้มนี้: - Deterministic wallets: ดังที่เราเห็นในพาร์ทของการกู้คืน การที่จะสำรองคีย์ทุกตัวในกระเป๋าเงินสมัยใหม่ส่วนใหญ่นั้น ทำเพียงแค่จดคำหรือตัวอักษรไม่กี่ตัว ซึ่งนี่เป็นผลจากการสร้างคีย์ทุกตัวในกระเป๋าเงินจากคำหรือตัวอักษรเหล่านั้นโดยใช้อัลกอริทึมแบบกำหนดได้ จึงไม่สามารถใช้ address แบบกำหนดเองกับ Deterministic wallets ได้ เว้นแต่ผู้ใช้จะสำรองข้อมูลเพิ่มเติมสำหรับ address แบบกำหนดเองทุก address ที่พวกเขาสร้าง ในทางปฏิบัติแล้วกระเป๋าเงินส่วนใหญ่ที่ใช้การสร้างคีย์แบบกำหนดได้ โดยไม่อนุญาตให้นำเข้าคีย์ส่วนตัวหรือการปรับแต่งคีย์จากโปรแกรมสร้าง address ที่กำหนดเอง

• การหลีกเลี่ยงการใช้ address ซ้ำซ้อน: การใช้ address แบบกำหนดเองเพื่อรับการชำระเงินหลายครั้งไปยัง address เดียวกันจะสร้างความเชื่อมโยงระหว่างการชำระเงินทั้งหมดเหล่านั้น นี่อาจเป็นที่ยอมรับได้สำหรับยูจีเนียหากองค์กรไม่แสวงหาผลกำไรของเธอจำเป็นต้องรายงานรายได้และค่าใช้จ่ายต่อหน่วยงานภาษีอยู่แล้ว แต่อย่างไรก็ตาม มันยังลดความเป็นส่วนตัวของคนที่จ่ายเงินให้ยูจีเนียหรือรับเงินจากเธอด้วย ตัวอย่างเช่น อลิซอาจต้องการบริจาคโดยไม่เปิดเผยตัวตน และบ็อบอาจไม่ต้องการให้ลูกค้ารายอื่นของเขารู้ว่าเขาให้ราคาส่วนลดแก่ยูจีเนีย

เราไม่คาดว่าจะเห็น address แบบกำหนดเองมากนักในอนาคต เว้นแต่ปัญหาที่กล่าวมาก่อนหน้านี้จะได้รับการแก้ไข

Paper Wallets

paper wallet หรือก็คือ private key ที่พิมพ์ลงในกระดาษ และโดยทั่วไปแล้วมักจะมีข้อมูลของ public key หรือ address บนกระดาษนั้นด้วยแม้ว่าจริง ๆ แล้วมันจะสามารถคำนวณได้ด้วย private key ก็ตาม

คำเตือน: paper wallet เป็นเทคโนโลยีที่ล้าสมัยแล้วและอันตรายสำหรับผู้ใช้ส่วนใหญ่ เพราะเป็นเรื่องยากที่จะสร้างมันอย่างปลอดภัย โดยเฉพาะอย่างยิ่งความเป็นไปได้ที่โค้ดที่ใช้สร้างอาจถูกแทรกแซงด้วยผู้ไม่ประสงค์ดี และอาจจะทำให้ผู้ใช้โดนขโมยบิตคอยน์ทั้งหมดไปได้ paper wallet ถูกแสดงที่นี่เพื่อวัตถุประสงค์ในการให้ข้อมูลเท่านั้นและไม่ควรใช้สำหรับเก็บบิตคอยน์

paper wallet ได้ถูกออกแบบมาเพื่อเป็นของขวัญและมีธีมตามฤดูกาล เช่น คริสต์มาสและปีใหม่ ส่วนเหตุผลอื่น ๆ ถูกออกแบบเพื่อการเก็บรักษาในตู้นิรภัยของธนาคารหรือตู้เซฟโดยมี private key ถูกซ่อนไว้ในบางวิธี ไม่ว่าจะด้วยสติกเกอร์แบบขูดที่ทึบแสงหรือพับและปิดผนึกด้วยแผ่นฟอยล์กันการงัดแงะ ส่วนการออกแบบอื่น ๆ มีสำเนาเพิ่มเติมของคีย์และ address ในรูปแบบของตอนฉีกที่แยกออกได้คล้ายกับตั๋ว ช่วยให้คุณสามารถเก็บสำเนาหลายชุดเพื่อป้องกันจากไฟไหม้ น้ำท่วม หรือภัยพิบัติทางธรรมชาติอื่น ๆ

จากการออกแบบเดิมของบิตคอยน์ที่เน้น public key ไปจนถึง address และสคริปต์สมัยใหม่อย่าง bech32m และ pay to taproot—และแม้แต่การอัพเกรดบิตคอยน์ในอนาคต—คุณได้เรียนรู้วิธีที่โปรโตคอลบิตคอยน์อนุญาตให้ผู้จ่ายเงินระบุกระเป๋าเงินที่ควรได้รับการชำระเงินของพวกเขา แต่เมื่อเป็นกระเป๋าเงินของคุณเองที่รับการชำระเงิน คุณจะต้องการความมั่นใจว่าคุณจะยังคงเข้าถึงเงินนั้นได้แม้ว่าจะเกิดอะไรขึ้นกับข้อมูลกระเป๋าเงินของคุณ ในบทต่อไป เราจะดูว่ากระเป๋าเงินบิตคอยน์ถูกออกแบบอย่างไรเพื่อปกป้องเงินทุนจากภัยคุกคามหลากหลายรูปแบบ

@ 005bc4de:ef11e1a2

Keys and Religion

Mixing

Normally, I'm not a fan mixing and comparing bitcoinesque things and religion. It's too banal and trite, too easy: the religion of Bitcoin, the allusion of Satoshi the savior, the "Book of Satoshi," even the "Genesis" block. But, today, I'll break my own rule.

Yesterday, I heard a Christian pastor speak of the "keys of the kingdom." My feeling is that, were you to ask the average Christian, "What is the key, or keys, to the kingdom?", and perhaps I'm wrong on this, but I think they'd answer, "Prayer." I've heard it many times, "Prayer is the key to the kingdom." It's an easy mantra to remember. And, prayer is important for a Christian, no question about it. However, Biblically, the phrase "keys of the kingdom" refers to something else.

As the pastor pointed out yesterday, Biblically there are two keys: the binding key and the loosing key. This refers to Matthew 16:19 where Jesus says:

I will give you the keys of the kingdom of heaven; whatever you bind on earth will be bound in heaven, and whatever you loose on earth will be loosed in heaven. Matthew 16:19 (NIV)

For context, back up a few verses. This statement above was made in a conversation between Jesus and his disciple Simon Peter.

15 Jesus asked, “But what about you?” he asked. “Who do you say I am?” 16 Simon Peter answered, “You are the Messiah, the Son of the living God.” 17 Jesus replied, “Blessed are you, Simon son of Jonah, for this was not revealed to you by flesh and blood, but by my Father in heaven. 18 And I tell you that you are Peter, and on this rock I will build my church, and the gates of Hades will not overcome it.

Although brief, this is a deep and rich exchange. Traditionally, this has been viewed as the moment that Christ instituted the Christian church, the passing of power and authority to the early church itself. There has been confusion over it too, particularly the "...on this rock I will build my church..." part of it. Jesus was referring to Simon Peter's statement of faith (...for this was not revealed to you by flesh and blood...) with the "this" being what Peter had just said, "You are the Messiah, the Son of the living God." The church would be built upon the rock of faith in Jesus as the Messiah.

The early Christian church thus established, Jesus instituted what's come to be called the "office of the keys." That is, Jesus grants authority to his "appointees" in the church to carry out his authority. In more practical terms, this is referring to those who have been called into church service, normally priests, to forgive or not forgive sins. When a priest or pastor forgives, or not, it is not that he is doing it by his own right or power. That priest is, after all, yet another sinful man as well. Instead, the priest forgives by Christ's authority which was handed down by Jesus himself in those words to Peter.

To use an analogy, suppose a general had to make a decision about foot soldiers on the front line, waiting there in the trenches. Due to some time constraint, a decision for action was needed imminently. However, suppose the general lacked some bit of information that could only be obtained at the front. So, the general wrote up a communique to the lieutenant stationed at the front saying, "You assess the situation, and you make the call, charge or pull back. I'll support your decision." A courier ran to the front, relayed the message to the lieutenant, and the lieutenant assessed and made the decision. Ultimately, even thought the lieutenant made the decision, the authority behind the decision lay with the general who had transferred his authority to the lieutenant.

This authority or office of the keys is mirrored in John 20:22-23, when the resurrected Jesus appears to his disciples and says, "If you forgive anyone’s sins, their sins are forgiven; if you do not forgive them, they are not forgiven.”

Going just one step further, recall there are two keys involved, binding and loosing, and there are two places involved, earth and heaven. Usually, priests and pastors are "in the business" of forgiving. Penitence or confession, when real, is forgiven. The priest has the authority to forgive, or "loose" the sinner from his wrongdoings here on earth. And, that forgiveness applies to heaven as well, the sin is atoned and reconciled with God.

But, what about when the person is unrepentant, unbothered by what is Biblically sinful, refuses to change his ways, and rather chooses to continue in sinful ways? The "binding" key says that the priest or appointed church leader can hold that person accountable, can bind that person to the sin and separation from God. Normally, we hear of "excommunication" from the church which is formally stating that a person is outside of the church body. The binding keys still bind, both on earth as being outside of the church and in heaven as being separated from God.

And bitcoin?

That's a lot of religion, and heavy religion at that. The question is, what does this have to do with bitcoin?

Keys.

Namely, this is about public and private keys. Loosing and binding keys. A bit more religion, then I'll get back to bitcoin.

Yesterday, the pastor spoke briefly about binding and loosing keys, and this where my thoughts about keys somehow morphed over into bitcoin. For some reason, I pictured Herod's Temple. There had been Solomon's temple, which was destroyed, and then there was Herod's which was known for its beauty and was the one during Jesus's time. But, let's recall the background on this...

The book of Exodus, and others in the Old Testament, outline in detail God's plan for the tabernacle (a traveling tent) and for the temple in Jerusalem.

The tabernacle, overhead diagram. Image source: https://en.wikipedia.org/wiki/Tabernacle

You might recall the "history" lesson in Raiders of the Lost Ark. With the tabernacle and temple, one of the purposes was to house the ark of the covenant. Remember that the ark was the golden box that the Israelites carried around containing Moses's stone tablets with the Ten Commandments, some manna, and Aaron's staff. It held great power, God's power, and God literally met and spoke with the Levite priests hovering over the cherubim's wings.

The ark of the covenant. Image source: https://en.wikipedia.org/wiki/Ark_of_the_Covenant

In the tabernacle and temple, the "Holy of Holies" was a room, separated by a heavy curtain. It was off limits to all because it was, well, holy of holies. A heavy curtain divided the Holy of Holies, or the "Most Holy Place", from the less-holy, "Holy Place."

Once a year, on the Day of Atonement, one person, the chief priest, was allowed to walk into the Holy of Holies. He would sprinkle the blood of a sacrificed animal onto the ark. This was done for the forgiveness of the people's sins. Although this was pre-Jesus's words, this was using the loosing keys and was loosing sin.

This was serious business and was taken seriously. For instance, the priests Nadab and Abihu improperly performed their sacrificial duties, they messed up the procedure, and were consumed by fire. Priesthood was a dangerous occupation, one slip up and you were scorched.

The second temple, "Herod's Temple". Image source: https://en.wikipedia.org/wiki/Second_Temple

Back to keys...

Yesterday, for some reason when I heard about binding and loosing keys, I imagined the chief priest standing in front of the curtain. I imagined him taking a deep breath, collecting his thoughts, getting ready to go in. It had to be intimidating.

As he stood there, in my mind, he and everyone else was shut out. The Most Holy Place was bound and locked. Walking in meant getting scorched (again, the end of Raiders of the Lost Ark). Yet, that priest had the loosing key. He had, first, permission as chief priest to enter on the Day of Atonement, secondly, he had the sacrificial blood to loose sins. Although the binding key had locked the Holy of Holies and thus bound the sins of the people, the loosing key was about to loose their sins.

Cryptographic keys

And back to bitcoin...

Bitcoin, and cryptography in general, operate on public and private keys. Any flavor of "cryptocurrency", or even Nostr, has public and private keys. In a way, these are binding and loosing keys.

Say you have 1.0 BTC (that's 100,000,000 sats 😀). That BTC exists as a UTXO which can be seen by anyone viewing your public address. In this way, your bitcoin public key is your binding key...that UTXO, that bitcoin, is bound to your public key...it is locked in place behind that heavy curtain. It will be there forever, unless there is an intervention...

You also have your private key, your loosing key. You can apply your private key to loose that UTXO, that bitcoin, and to send it along to wherever.

This is like law and gospel: sin is binding, however Jesus frees it. A bitcoin UTXO is bound until a private key looses it.

Nostr offers a somewhat similar illustration. You have an npub publicly and and nsec secretly or privately. If you were to write a note, your private nsec is needed as a loosing key to free that message, to broadcast it to the world. Once broadcast, it can be seen by all, however it is still inextricably bound or tied to your public key (your npub). Your npub is your binding key and your message is bound to it.

Summed

I'm not sure this binding and loosing keys in religion, and public and private keys in cryptography is the best comparison in the world. It's probably a terrible comparison. But, this is what came to my mind yesterday.

And, so, the mixing of religion and bitcoin is now officially over.

@ 57d1a264:69f1fee1

Past week summary

From a Self Custody for Organizations perspective, after analyzing the existing protocols (Cerberus, 10xSecurityBTCguide and Glacier) and reading a bunch of relates articles and guides, have wrapped to the conclusion that this format it is good to have as reference. However, something else is needed. For example, a summary or a map of the whole process to provide an overview, plus a way to deliver all the information and the multy-process in a more enjoyable way. Not a job for this hackathon, but with the right collaborations I assume it's possible to: - build something that might introduce a bit more quests and gamification - provide a learning environment (with testnet funds) could also be crucial on educating those unfamiliar with bitcoin onchain dynamics.

Have been learning more and playing around practicing best accessibility practices and how it could be applied to a desktop software like Bitcoin Safe. Thanks to @johnjherzog for providing a screen recording of his first experience and @jasonbohio for suggesting the tools to be used. (in this case tested/testing on Windows with the Accessibility Insights app). Some insight shared have been also applied to the website, running a full accessibility check (under WCAG 2.2 ADA, and Section 508 standards) with 4 different plugins and two online tools. I recognize that not all of them works and analyze the same parameters, indeed they complement each other providing a more accurate review.

For Bitcoin Safe interface improvements, many suggestions have been shared with @andreasgriffin , including: - a new iconset, including a micro-set to display the number of confirmed blocs for each transaction - a redesigned History/Dashboard - small refinements like adding missing columns on the tables - allow the user to select which columns to be displayed - sorting of unconfirmed transactions - Defining a new style for design elements like mempool blocks and quick receive boxes You can find below some screenshots with my proposals that hopefully will be included in the next release.

Last achievement this week was to prepare the website https://Safe.BTC.pub, the container where all the outcomes f this experiment will be published. You can have a look, just consider it still WIP. Branding for the project has also been finalized and available in this penpot file https://design.penpot.app/#/workspace?team-id=cec80257-5021-8137-8005-eab60c043dd6&project-id=cec80257-5021-8137-8005-eab60c043dd8&file-id=95aea877-d515-80ac-8006-23a251886db3&page-id=132f519a-39f4-80db-8006-2a41c364a545

What's for next week

After spending most of the time learning and reading material, this coming week will be focused on deliverables. The goal as planned will be to provide: - Finalized Safe₿its brand and improve overall desktop app experience, including categorization of transactions and addresses - An accessibility report or guide for Bitcoin Safe and support to implement best practices - A first draft of the Self-Custody for Organizations guide/framework/protocol, ideally delivered through the website http://Safe.BTC.pub in written format, but also as FlowChart to help have an overview of the whole resources needed and the process itself. This will clearly define preparations and tools/hardwares needed to successfully complete the process.

To learn more about the project, you can visit: Designathon website: https://event.bitcoin.design/#project-recj4SVNLLkuWHpKq Discord channel: https://discord.com/channels/903125802726596648/1369200271632236574 Previous SN posts: https://stacker.news/items/974489/r/DeSign_r and https://stacker.news/items/974488/r/DeSign_r

Stay tuned, more will be happening this coming week

originally posted at https://stacker.news/items/977180

@ 4c48cf05:07f52b80

I believe that five years from now, access to artificial intelligence will be akin to what access to the Internet represents today. It will be the greatest differentiator between the haves and have nots. Unequal access to artificial intelligence will exacerbate societal inequalities and limit opportunities for those without access to it.

Back in April, the AI Index Steering Committee at the Institute for Human-Centered AI from Stanford University released The AI Index 2024 Annual Report.

Out of the extensive report (502 pages), I chose to focus on the chapter dedicated to Public Opinion. People involved with AI live in a bubble. We all know and understand AI and therefore assume that everyone else does. But, is that really the case once you step out of your regular circles in Seattle or Silicon Valley and hit Main Street?

Two thirds of global respondents have a good understanding of what AI is

The exact number is 67%. My gut feeling is that this number is way too high to be realistic. At the same time, 63% of respondents are aware of ChatGPT so maybe people are confounding AI with ChatGPT?

If so, there is so much more that they won't see coming.

This number is important because you need to see every other questions and response of the survey through the lens of a respondent who believes to have a good understanding of what AI is.

A majority are nervous about AI products and services

52% of global respondents are nervous about products and services that use AI. Leading the pack are Australians at 69% and the least worried are Japanise at 23%. U.S.A. is up there at the top at 63%.

Japan is truly an outlier, with most countries moving between 40% and 60%.

Personal data is the clear victim

Exaclty half of the respondents believe that AI companies will protect their personal data. And the other half believes they won't.

Expected benefits

Again a majority of people (57%) think that it will change how they do their jobs. As for impact on your life, top hitters are getting things done faster (54%) and more entertainment options (51%).

The last one is a head scratcher for me. Are people looking forward to AI generated movies?

Concerns

Remember the 57% that thought that AI will change how they do their jobs? Well, it looks like 37% of them expect to lose it. Whether or not this is what will happen, that is a very high number of people who have a direct incentive to oppose AI.

Other key concerns include:

• Misuse for nefarious purposes: 49%
• Violation of citizens' privacy: 45%

Conclusion

This is the first time I come across this report and I wil make sure to follow future annual reports to see how these trends evolve.

Overall, people are worried about AI. There are many things that could go wrong and people perceive that both jobs and privacy are on the line.

---

Full citation: Nestor Maslej, Loredana Fattorini, Raymond Perrault, Vanessa Parli, Anka Reuel, Erik Brynjolfsson, John Etchemendy, Katrina Ligett, Terah Lyons, James Manyika, Juan Carlos Niebles, Yoav Shoham, Russell Wald, and Jack Clark, “The AI Index 2024 Annual Report,” AI Index Steering Committee, Institute for Human-Centered AI, Stanford University, Stanford, CA, April 2024.

The AI Index 2024 Annual Report by Stanford University is licensed under Attribution-NoDerivatives 4.0 International.

@ 3f68dede:779bb81d

testing schedule

@ 2dd9250b:6e928072

Vi recentemente um post onde a pessoa diz que aquele final do filme O Doutrinador (2019) não faz sentido porque mesmo o protagonista explodindo o Palácio dos Três Poderes, não acaba com a corrupção no Brasil.

Progressistas não sabem ler e não conseguem interpretar textos corretamente. O final de Doutrinador não tem a ver com isso, tem a ver com a relação entre o Herói e a sua Cidade.

Nas histórias em quadrinhos há uma ligação entre a cidade e o Super-Herói. Gotham City por exemplo, cria o Batman. Isso é mostrado em The Batman (2022) e em Batman: Cavaleiro das Trevas, quando aquele garoto no final, diz para o Batman não fugir, porque ele queria ver o Batman de novo. E o Comissário Gordon diz que o "Batman é o que a cidade de Gotham precisa."

Batman: Cavaleiro das Trevas Ressurge mostra a cidade de Gotham sendo tomada pela corrupção e pela ideologia do Bane. A Cidade vai definhando em imoralidade e o Bruce, ao olhar da prisão a cidade sendo destruída, decide que o Batman precisa voltar porque se Gotham for destruída, o Batman é destruído junto. E isso o da forças para consegue fugir daquele poço e voltar para salvar Gotham.

Isso também é mostrado em Demolidor. Na série Demolidor o Matt Murdock sempre fala que precisa defender a cidade Cozinha do Inferno; que o Fisk não vai dominar a cidade e fazer o que ele quiser nela. Inclusive na terceira temporada isso fica mais evidente na luta final na mansão do Fisk, onde Matt grita que agora a cidade toda vai saber o que ele fez; a cidade vai ver o mal que ele é para Hell's Kitchen, porque a gente sabe que o Fisk fez de tudo para a imagem do Demolidor entrar e descrédito perante os cidadãos, então o que acontece no final do filme O Doutrinador não significa que ele está acabando com a corrupção quando explode o Congresso, ele está praticamente interrompendo o ciclo do sistema, colocando uma falha em sua engrenagem.

Quando você ouve falar de Brasília, você pensa na corrupção dos políticos, onde a farra acontece,, onde corruptos desviam dinheiro arrecadado dos impostos, impostos estes que são centralizados na União. Então quando você ouve falarem de Brasília, sempre pensa que o pessoal que mora lá, mora junto com tudo de podre que acontece no Brasil.

Logo quando o Doutrinador explode tudo ali, ele está basicamente destruindo o mecanismo que suja Brasília. Ele está fazendo isso naquela cidade. Porque o símbolo da cidade é justamente esse, a farsa de que naquele lugar o povo será ouvido e a justiça será feita. Ele está destruindo a ideologia de que o Estado nos protege, nos dá segurança, saúde e educação. Porque na verdade o Estado só existe para privilegiar os políticos, funcionários públicos de auto escalão, suas famílias e amigos. Enquanto que o povo sofre para sustentar a elite política. O protagonista Miguel entendeu isso quando a filha dele morreu na fila do SUS.

@ 30611079:ecac89f8

Um Shell Script simples para facilitar backups bip39 baseados nos números das palavras, coloque o script na mesma pasta que o arquivo contendo as palavras, passe o idioma no 1º argumento (Ex. english) e as palavras em sequência, a saída serão os números correspondentes as palavras passadas no idioma selecionado

```

!/bin/bash

Enter in correct diretory

if [ ${0%/} == $0 ]; then cd ${PWD} elif [ -e ${PWD}/${0%/} ]; then cd ${PWD}/${0%/} else cd ${0%/} fi

file="$1.txt"

index=0 numbers=() for word in "$@"; do while IFS= read -r linha; do if [[ "$linha" == "$word" ]]; then numbers+=($index) break fi ((index++)) done < "$file" index=0 done echo "${numbers[@]}" ```

Fiz para aprender um pouco de Shell Script, podem dizer se está bom e se dá para melhorar algo?

Também fiz outro que faz o processo reverso

@ 3f68dede:779bb81d

testing schedule

@ 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.

nostr:nevent1qvzqqqqqqypzp5r5hd579v2sszvvzfel677c8dxgxm3skl773sujlsuft64c44ncqy2hwumn8ghj7un9d3shjtnyv9kh2uewd9hj7qgwwaehxw309ahx7uewd3hkctcpzemhxue69uhhyetvv9ujumt0wd68ytnsw43z7qghwaehxw309aex2mrp0yhxummnw3ezucnpdejz7qgewaehxw309aex2mrp0yh8xmn0wf6zuum0vd5kzmp0qqsxunmjy20mvlq37vnrcshkf6sdrtkfjtjz3anuetmcuv8jswhezgc7hglpn

Or view on Coracle nostr:nevent1qqsxunmjy20mvlq37vnrcshkf6sdrtkfjtjz3anuetmcuv8jswhezgcppemhxue69uhkummn9ekx7mp0qgsdqa9md83tz5yqnrqjw07hhkpmfjpkuv9hlh5v8yhu8z274w9dv7qnnq0s3

@ 8947a945:9bfcf626

สวัสดีทุกคนบน Nostr ครับ รวมไปถึง watchersและ ผู้ติดตามของผมจาก Deviantart และ platform งานศิลปะอื่นๆนะครับ

ตั้งแต่ต้นปี 2024 ผมใช้ AI เจนรูปงานตัวละครสาวๆจากอนิเมะ และเปิด exclusive content ให้สำหรับผู้ที่ชื่นชอบผลงานของผมเป็นพิเศษ

ผมโพสผลงานผมทั้งหมดไว้ที่เวบ Deviantart และค่อยๆสร้างฐานผู้ติดตามมาเรื่อยๆอย่างค่อยเป็นค่อยไปมาตลอดครับ ทุกอย่างเติบโตไปเรื่อยๆของมัน ส่วนตัวผมมองว่ามันเป็นพิร์ตธุรกิจออนไลน์ ของผมพอร์ตนึงได้เลย

เมื่อวันที่ 16 กย.2024 มีผู้ติดตามคนหนึ่งส่งข้อความส่วนตัวมาหาผม บอกว่าชื่นชอบผลงานของผมมาก ต้องการจะขอซื้อผลงาน แต่ขอซื้อเป็น NFT นะ เสนอราคาซื้อขายต่อชิ้นที่สูงมาก หลังจากนั้นผมกับผู้ซื้อคนนี้พูดคุยกันในเมล์ครับ

นี่คือข้อสรุปสั่นๆจากการต่อรองซื้อขายครับ

(หลังจากนี้ผมขอเรียกผู้ซื้อว่า scammer นะครับ เพราะไพ่มันหงายมาแล้ว ว่าเขาคือมิจฉาชีพ)

• Scammer รายแรก เลือกผลงานที่จะซื้อ เสนอราคาซื้อที่สูงมาก แต่ต้องเป็นเวบไซต์ NFTmarket place ที่เขากำหนดเท่านั้น มันทำงานอยู่บน ERC20 ผมเข้าไปดูเวบไซต์ที่ว่านี้แล้วรู้สึกว่ามันดูแปลกๆครับ คนที่จะลงขายผลงานจะต้องใช้ email ในการสมัครบัญชีซะก่อน ถึงจะผูก wallet อย่างเช่น metamask ได้ เมื่อผูก wallet แล้วไม่สามารถเปลี่ยนได้ด้วย ตอนนั้นผมใช้ wallet ที่ไม่ได้ link กับ HW wallet ไว้ ทดลองสลับ wallet ไปๆมาๆ มันทำไม่ได้ แถมลอง log out แล้ว เลข wallet ก็ยังคาอยู่อันเดิม อันนี้มันดูแปลกๆแล้วหนึ่งอย่าง เวบนี้ค่า ETH ในการ mint 0.15 - 0.2 ETH … ตีเป็นเงินบาทนี่แพงบรรลัยอยู่นะครับ

• Scammer รายแรกพยายามชักจูงผม หว่านล้อมผมว่า แหม เดี๋ยวเขาก็มารับซื้องานผมน่า mint งานเสร็จ รีบบอกเขานะ เดี๋ยวเขารีบกดซื้อเลย พอขายได้กำไร ผมก็ได้ค่า gas คืนได้ แถมยังได้กำไรอีก ไม่มีอะไรต้องเสีนจริงมั้ย แต่มันเป้นความโชคดีครับ เพราะตอนนั้นผมไม่เหลือทุนสำรองที่จะมาซื้อ ETH ได้ ผมเลยต่อรองกับเขาตามนี้ครับ :

• ผมเสนอว่า เอางี้มั้ย ผมส่งผลงานของผมแบบ low resolution ให้ก่อน แลกกับให้เขาช่วยโอน ETH ที่เป็นค่า mint งานมาให้หน่อย พอผมได้ ETH แล้ว ผมจะ upscale งานของผม แล้วเมล์ไปให้ ใจแลกใจกันไปเลย ... เขาไม่เอา

• ผมเสนอให้ไปซื้อที่ร้านค้าออนไลน์ buymeacoffee ของผมมั้ย จ่ายเป็น USD ... เขาไม่เอา
• ผมเสนอให้ซื้อขายผ่าน PPV lightning invoice ที่ผมมีสิทธิ์เข้าถึง เพราะเป็น creator ของ Creatr ... เขาไม่เอา
• ผมยอกเขาว่างั้นก็รอนะ รอเงินเดือนออก เขาบอก ok

สัปดาห์ถัดมา มี scammer คนที่สองติดต่อผมเข้ามา ใช้วิธีการใกล้เคียงกัน แต่ใช้คนละเวบ แถมเสนอราคาซื้อที่สูงกว่าคนแรกมาก เวบที่สองนี้เลวร้ายค่าเวบแรกอีกครับ คือต้องใช้เมล์สมัครบัญชี ไม่สามารถผูก metamask ได้ พอสมัครเสร็จจะได้ wallet เปล่าๆมาหนึ่งอัน ผมต้องโอน ETH เข้าไปใน wallet นั้นก่อน เพื่อเอาไปเป็นค่า mint NFT 0.2 ETH

ผมบอก scammer รายที่สองว่า ต้องรอนะ เพราะตอนนี้กำลังติดต่อซื้อขายอยู่กับผู้ซื้อรายแรกอยู่ ผมกำลังรอเงินเพื่อมาซื้อ ETH เป็นต้นทุนดำเนินงานอยู่ คนคนนี้ขอให้ผมส่งเวบแรกไปให้เขาดูหน่อย หลังจากนั้นไม่นานเขาเตือนผมมาว่าเวบแรกมันคือ scam นะ ไม่สามารถถอนเงินออกมาได้ เขายังส่งรูป cap หน้าจอที่คุยกับผู้เสียหายจากเวบแรกมาให้ดูว่าเจอปัญหาถอนเงินไม่ได้ ไม่พอ เขายังบลัฟ opensea ด้วยว่าลูกค้าขายงานได้ แต่ถอนเงินไม่ได้

Opensea ถอนเงินไม่ได้ ตรงนี้แหละครับคือตัวกระตุกต่อมเอ๊ะของผมดังมาก เพราะ opensea อ่ะ ผู้ใช้ connect wallet เข้ากับ marketplace โดยตรง ซื้อขายกันเกิดขึ้น เงินวิ่งเข้าวิ่งออก wallet ของแต่ละคนโดยตรงเลย opensea เก็บแค่ค่า fee ในการใช้ platform ไม่เก็บเงินลูกค้าไว้ แถมปีนี้ค่า gas fee ก็ถูกกว่า bull run cycle 2020 มาก ตอนนี้ค่า gas fee ประมาณ 0.0001 ETH (แต่มันก็แพงกว่า BTC อยู่ดีอ่ะครับ)

ผมเลยเอาเรื่องนี้ไปปรึกษาพี่บิท แต่แอดมินมาคุยกับผมแทน ทางแอดมินแจ้งว่ายังไม่เคยมีเพื่อนๆมาปรึกษาเรื่องนี้ กรณีที่ผมทักมาถามนี่เป็นรายแรกเลย แต่แอดมินให้ความเห็นไปในทางเดียวกับสมมุติฐานของผมว่าน่าจะ scam ในเวลาเดียวกับผมเอาเรื่องนี้ไปถามในเพจ NFT community คนไทนด้วย ได้รับการ confirm ชัดเจนว่า scam และมีคนไม่น้อยโดนหลอก หลังจากที่ผมรู้ที่มาแล้ว ผมเลยเล่นสงครามปั่นประสาท scammer ทั้งสองคนนี้ครับ เพื่อดูว่าหลอกหลวงมิจฉาชีพจริงมั้ย

โดยวันที่ 30 กย. ผมเลยปั่นประสาน scammer ทั้งสองรายนี้ โดยการ mint ผลงานที่เขาเสนอซื้อนั่นแหละ ขึ้น opensea แล้วส่งข้อความไปบอกว่า

mint ให้แล้วนะ แต่เงินไม่พอจริงๆว่ะโทษที เลย mint ขึ้น opensea แทน พอดีบ้านจน ทำได้แค่นี้ไปถึงแค่ opensea รีบไปซื้อล่ะ มีคนจ้องจะคว้างานผมเยอะอยู่ ผมไม่คิด royalty fee ด้วยนะเฮ้ย เอาไปขายต่อไม่ต้องแบ่งกำไรกับผม

เท่านั้นแหละครับ สงครามจิตวิทยาก็เริ่มขึ้น แต่เขาจนมุม กลืนน้ำลายตัวเอง ช็อตเด็ดคือ

เขา : เนี่ยอุส่ารอ บอกเพื่อนในทีมว่าวันจันทร์ที่ 30 กย. ได้ของแน่ๆ เพื่อนๆในทีมเห็นงานผมแล้วมันสวยจริง เลยใส่เงินเต็มที่ 9.3ETH (+ capture screen ส่งตัวเลขยอดเงินมาให้ดู)ไว้รอโดยเฉพาะเลยนะ ผม : เหรอ ... งั้น ขอดู wallet address ที่มี transaction มาให้ดูหน่อยสิ เขา : 2ETH นี่มัน 5000$ เลยนะ ผม : แล้วไง ขอดู wallet address ที่มีการเอายอดเงิน 9.3ETH มาให้ดูหน่อย ไหนบอกว่าเตรียมเงินไว้มากแล้วนี่ ขอดูหน่อย ว่าใส่ไว้เมื่อไหร่ ... เอามาแค่ adrress นะเว้ย ไม่ต้องทะลึ่งส่ง seed มาให้ เขา : ส่งรูปเดิม 9.3 ETH มาให้ดู ผม : รูป screenshot อ่ะ มันไม่มีความหมายหรอกเว้ย ตัดต่อเอาก็ได้ง่ายจะตาย เอา transaction hash มาดู ไหนว่าเตรียมเงินไว้รอ 9.3ETH แล้วอยากซื้องานผมจนตัวสั่นเลยไม่ใช่เหรอ ถ้าจะส่ง wallet address มาให้ดู หรือจะช่วยส่ง 0.15ETH มาให้ยืม mint งานก่อน แล้วมากดซื้อ 2ETH ไป แล้วผมใช้ 0.15ETH คืนให้ก็ได้ จะซื้อหรือไม่ซื้อเนี่ย เขา : จะเอา address เขาไปทำไม ผม : ตัดจบ รำคาญ ไม่ขายให้ละ เขา : 2ETH = 5000 USD เลยนะ ผม : แล้วไง

ผมเลยเขียนบทความนี้มาเตือนเพื่อนๆพี่ๆทุกคนครับ เผื่อใครกำลังเปิดพอร์ตทำธุรกิจขาย digital art online แล้วจะโชคดี เจอของดีแบบผม

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ทำไมผมถึงมั่นใจว่ามันคือการหลอกหลวง แล้วคนโกงจะได้อะไร

อันดับแรกไปพิจารณาดู opensea ครับ เป็นเวบ NFTmarketplace ที่ volume การซื้อขายสูงที่สุด เขาไม่เก็บเงินของคนจะซื้อจะขายกันไว้กับตัวเอง เงินวิ่งเข้าวิ่งออก wallet ผู้ซื้อผู้ขายเลย ส่วนทางเวบเก็บค่าธรรมเนียมเท่านั้น แถมค่าธรรมเนียมก็ถูกกว่าเมื่อปี 2020 เยอะ ดังนั้นการที่จะไปลงขายงานบนเวบ NFT อื่นที่ค่า fee สูงกว่ากันเป็นร้อยเท่า ... จะทำไปทำไม

ผมเชื่อว่า scammer โกงเงินเจ้าของผลงานโดยการเล่นกับความโลภและความอ่อนประสบการณ์ของเจ้าของผลงานครับ เมื่อไหร่ก็ตามที่เจ้าของผลงานโอน ETH เข้าไปใน wallet เวบนั้นเมื่อไหร่ หรือเมื่อไหร่ก็ตามที่จ่ายค่า fee ในการ mint งาน เงินเหล่านั้นสิ่งเข้ากระเป๋า scammer ทันที แล้วก็จะมีการเล่นตุกติกต่อแน่นอนครับ เช่นถอนไม่ได้ หรือซื้อไม่ได้ ต้องโอนเงินมาเพิ่มเพื่อปลดล็อค smart contract อะไรก็ว่าไป แล้วคนนิสัยไม่ดีพวกเนี้ย ก็จะเล่นกับความโลภของคน เอาราคาเสนอซื้อที่สูงโคตรๆมาล่อ ... อันนี้ไม่ว่ากัน เพราะบนโลก NFT รูปภาพบางรูปที่ไม่ได้มีความเป็นศิลปะอะไรเลย มันดันขายกันได้ 100 - 150 ETH ศิลปินที่พยายามสร้างตัวก็อาจจะมองว่า ผลงานเรามีคนรับซื้อ 2 - 4 ETH ต่องานมันก็มากพอแล้ว (จริงๆมากเกินจนน่าตกใจด้วยซ้ำครับ)

บนโลกของ BTC ไม่ต้องเชื่อใจกัน โอนเงินไปหากันได้ ปิดสมุดบัญชีได้โดยไม่ต้องเชื่อใจกัน

บบโลกของ ETH "code is law" smart contract มีเขียนอยู่แล้ว ไปอ่าน มันไม่ได้ยากมากในการทำความเข้าใจ ดังนั้น การจะมาเชื่อคำสัญญาจากคนด้วยกัน เป็นอะไรที่ไม่มีเหตุผล

ผมไปเล่าเรื่องเหล่านี้ให้กับ community งานศิลปะ ก็มีทั้งเสียงตอบรับที่ดี และไม่ดีปนกันไป มีบางคนยืนยันเสียงแข็งไปในทำนองว่า ไอ้เรื่องแบบเนี้ยไม่ได้กินเขาหรอก เพราะเขาตั้งใจแน่วแน่ว่างานศิลป์ของเขา เขาไม่เอาเข้ามายุ่งในโลก digital currency เด็ดขาด ซึ่งผมก็เคารพมุมมองเขาครับ แต่มันจะดีกว่ามั้ย ถ้าเราเปิดหูเปิดตาให้ทันเทคโนโลยี โดยเฉพาะเรื่อง digital currency , blockchain โดนโกงทีนึงนี่คือหมดตัวกันง่ายกว่าเงิน fiat อีก

อยากจะมาเล่าให้ฟังครับ และอยากให้ช่วยแชร์ไปให้คนรู้จักด้วย จะได้ระวังตัวกัน

Note

• ภาพประกอบ cyber security ทั้งสองนี่ของผมเองครับ ทำเอง วางขายบน AdobeStock
• อีกบัญชีนึงของผม "HikariHarmony" npub1exdtszhpw3ep643p9z8pahkw8zw00xa9pesf0u4txyyfqvthwapqwh48sw กำลังค่อยๆเอาผลงานจากโลกข้างนอกเข้ามา nostr ครับ ตั้งใจจะมาสร้างงานศิลปะในนี้ เพื่อนๆที่ชอบงาน จะได้ไม่ต้องออกไปหาที่ไหน

ผลงานของผมครับ - Anime girl fanarts : HikariHarmony - HikariHarmony on Nostr - General art : KeshikiRakuen - KeshikiRakuen อาจจะเป็นบัญชี nostr ที่สามของผม ถ้าไหวครับ