@ 8bad92c3:ca714aa5

Marty's Bent

Last week we covered the bombshell developments in the Samourai Wallet case. For those who didn't read that, last Monday the world was made aware of the fact that the SDNY was explicitly told by FinCEN that the federal regulator did not believe that Samourai Wallet was a money services business six months before arresting the co-founders of Samourai Wallet for conspiracy to launder money and illegally operating a money services business. This was an obvious overstep by the SDNY that many believed would be quickly alleviated, especially considering the fact that the Trump administration via the Department of Justice has made it clear that they do not intend to rule via prosecution.

It seems that this is not the case as the SDNY responded to a letter sent from the defense to dismiss the case by stating that they fully plan to move forward. Stating that they only sought the recommendations of FinCEN employees and did not believe that those employees' comments were indicative of FinCEN's overall views on this particular case. It's a pretty egregious abuse of power by the SDNY. I'm not sure if the particular lawyers and judges within the Southern District of New York are very passionate about preventing the use of self-custody bitcoin and products that enable bitcoiners to transact privately, or if they're simply participating in a broader meta war with the Trump administration - who has made it clear to federal judges across the country that last Fall's election will have consequences, mainly that the Executive Branch will try to effectuate the policies that President Trump campaigned on by any legal means necessary - and Samouari Wallet is simply in the middle of that meta war.

However, one thing is pretty clear to me, this is an egregious overstep of power. The interpretation of that law, as has been laid out and confirmed by FinCEN over the last decade, is pretty clear; you cannot be a money services business if you do not control the funds that people are sending to each other, which is definitely the case with Samourai Wallet. People downloaded Samourai Wallet, spun up their own private-public key pairs and initiated transactions themselves. Samourai never custodied funds or initiated transactions on behalf of their users. This is very cut and dry. Straight to the point. It should be something that anyone with more than two brain cells is able to discern pretty quickly.

It is imperative that anybody in the industry who cares about being able to hold bitcoin in self-custody, to mine bitcoin, and to send bitcoin in a peer-to-peer fashion makes some noise around this case. None of the current administration's attempts to foster innovation around bitcoin in the United States will matter if the wrong precedent is set in this case. If the SDNY is successful in prosecuting Samourai Wallet, it will mean that anybody holding Bitcoin in self-custody, running a bitcoin fold node or mining bitcoin will have to KYC all of their users and counterparts lest they be labeled a money services business that is breaking laws stemming from the Bank Secrecy Act. This will effectively make building a self-custody bitcoin wallet, running a node, or mining bitcoin in tillegal in the United States. The ability to comply with the rules that would be unleashed if this Samourai case goes the wrong way, are such that it will effectively destroy the industry overnight.

It is yet to be seen whether or not the Department of Justice will step in to publicly flog the SDNY and force them to stop pursuing this case. This is the only likely way that the case will go away at this point, so it is very important that bitcoiners who care about being able to self-custody bitcoin, mine bitcoin, or send bitcoin in a peer-to-peer fashion in the United States make it clear to the current administration and any local politicians that this is an issue that you care deeply about. If we are too complacent, there is a chance that the SDNY could completely annihilate the bitcoin industry in America despite of all of the positive momentum we're seeing from all angles at the moment.

Make some noise!

Bitcoin Adoption by Power Companies: The Next Frontier

In my recent conversation with Andrew Myers from Satoshi Energy, he shared their ambitious mission to "enable every electric power company to use bitcoin by block 1,050,000" – roughly three years from now. This strategic imperative isn't just about creating new Bitcoin users; it's about sovereignty. Andrew emphasized that getting Bitcoin into the hands of energy companies who value self-sovereignty creates a more balanced future economic landscape. The excitement was palpable as he described how several energy companies are already moving beyond simply selling power to Bitcoin miners and are beginning to invest in mining operations themselves.

"You have global commodity companies being like, 'Oh, this is another commodity – we want to invest in this, we want to own this,'" - Andrew Myers

Perhaps most fascinating was Andrew's revelation about major energy companies in Texas developing Bitcoin collateral products for power contracts – a practical application that could revolutionize how energy transactions are settled. As energy companies continue embracing Bitcoin for both operations and collateral, we're witnessing the early stages of a profound shift in how critical infrastructure interfaces with sound money. The implications for both sectors could be transformative.

Check out the full podcast here for more on remote viewing, Nikola Tesla's predictions, and the convergence of Bitcoin and AI technology. We cover everything from humanoid robots to the energy demands of next-generation computing.

Headlines of the Day

Steak n Shake to Accept Bitcoin at All Locations May 16 - via X

Facebook Plans Crypto Wallets for 3B Users, Bitcoin Impact Looms - via X

Trump Urges Americans to Buy Stocks for Economic Boom - via X

UK Drops Tariffs, U.S. Farmers Set to Reap Major Benefits - via X

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Final thought...

Happy belated Mother's Day to all the moms out there.

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@ 05a0f81e:fc032124

Kehinde and Taiwo Ogundipe, known as the Rex Twins, made significant strides in the Nigerian art scene, particularly in Lagos during the 1970s and 1980s. Their collaborative works, often signed jointly, adorned various parts of Lagos, including Ikate, Itire, Ijesha, and Ojuelegba. Their art, characterized by vibrant street illustrations, not only showcased their talent but also their unity as twins, they shared a single wife, Patricia adewuyi and together, they had a son named Noah.

In December 1976, The Rex twins meet Patricia at the when she was just 24 years old at the at a palm wine bar in ijesha tedo, Lagos. Their Relationship quickly develop to a unique union where both brother married Patricia choosing to live together as one family.

There unique relationship was first reported by drum magazine in 1978, highlighting their decision to marry one woman as a testament of there inseparable

Th twins furthermore explained that they want to prove to the world and to Nigerians that as one man can marry more than one wives, that twins can also justify their oneness by owning things in common. God made us to be one in what ever we do. This point of view emphasized more on their beliefs in the deep bond they share and their desire to live in complete unity

The Rex Twins, Kehinde and Taiwo Ogundipe, were visual artists based in Lagos, Nigeria. They were known for working together on paintings, sign writing, and graphic art.

Occupations of the Rex Twins

1. Sign Writers – They specialized in creating hand-painted signboards, which were a popular form of advertising in Nigeria during the 1970s and 1980s.

2. Muralists – They painted large murals on buildings and public spaces.

3. Portrait Artists – They offered portraiture services, painting realistic images of individuals or families.

4. Commercial Artists – Their art included illustrations for businesses, advertisements, and posters.

5. Collaborative Painters – They worked as a team, reinforcing their philosophy of doing everything together.

Their shared artistic identity made them locally famous not just because of their talent, but also due to their deep bond as twins who lived and worked as one unit, even extending to their personal lives, including marriage.

Their story is often highlighted as an example of how art, identity, and unconventional relationships can intersect in culturally significant ways.

The story of the Rex Twins and Patricia teaches several powerful and thought-provoking lessons, culturally, philosophically, and socially. Here's a breakdown of what their act teaches:

1. Unity and Oneness

The Rex Twins believed deeply in the idea that being twins went beyond biology, it meant sharing everything, including work, life, and even love. Their act teaches about total unity, and how some people can live in deep cooperation and harmony, even in ways that challenge norms.

1. Redefining Love and Marriage

Their decision to marry one wife together challenges the traditional structure of romantic relationships and marriage. It opens up discussion about the flexibility of love, showing that love doesn’t always fit into strict cultural boxes.

It questions double standards—why is polygamy (one man, many wives) widely accepted in some cultures, but polyandry (one woman, two husbands) is taboo?

1. Boldness and Nonconformity

Their lives were a form of rebellion against social expectations. They were unapologetically themselves, choosing to live in a way that made sense to them, even though society might have criticized or mocked them.

This teaches courage—the courage to live your truth, even if the world doesn’t understand it.

1. The Complexity of Human Relationships

Their story reminds us that human relationships are not always simple.

It teaches us to withhold judgment, be curious rather than critical, and understand that every relationship has its own logic and depth.

1. Living a Life of Purpose and Identity

They used both their art and their relationship as a statement of identity.

It teaches us to be intentional: about how we love, how we live, and what we create.

Finally, The Rex Twins and Patricia didn’t just share a relationship, they made a statement. Their story is less about whether their choices were “right” or “wrong,” and more about what it means to live with conviction, unity, and authenticity.

@ eb0157af:77ab6c55

Bitcoin surpasses gold in the United States: 50 million holders and a dominant role in the global market.

According to a new report by River, for the first time in history, the number of Americans owning bitcoin has surpassed that of gold holders. The analysis reveals that approximately 50 million U.S. citizens currently own the cryptocurrency, while gold owners number 37 million. In fact, 14.3% of Americans own bitcoin, the highest percentage of holders worldwide.

Source: River

The report highlights that 40% of all Bitcoin-focused companies are based in the United States, consolidating America’s dominant position in the sector. Additionally, 40.5% of Bitcoin holders are men aged 31 to 35, followed by 35.9% of men aged 41 to 45. In contrast, only 13.4% of holders are women.

Source: River

Notably, U.S. companies hold 94.8% of all bitcoins owned by publicly traded companies worldwide. According to the report, recent regulatory changes in the U.S. have made the asset more accessible through financial products such as spot ETFs.

The document also shows that American investors increasingly view the cryptocurrency as protection against fiscal instability and inflation, appreciating its limited supply and decentralized governance model.

For River, Bitcoin offers significant practical advantages over gold in the modern digital era. Its ease of custody, cross-border transfer, and liquidity make the cryptocurrency an attractive option for both individual and institutional investors, the report suggests.

The post USA: 50 million Americans own bitcoin appeared first on Atlas21.

@ 000002de:c05780a7

Resist the black pill. If the evolution of the "bitcoin community" bothers you, I'm with you. It's very likely that you need to shift your expectations but not your principles.

Lately, I've been hearing many bitcoiners and non-bitcoiners point out how the bitcoin world is embracing the suits—the politicians and traditional finance. This is on full display at Bitcoin 2025. I haven't watched the conference, but I have seen a few clips that seem to trigger people, and I get it. Believe me, I do. Please read this as kind advice for your own good.

We have many memes in the bitcoin space.

• Bitcoin Fixes This
• Not Your Keys Not Your Coins
• Never Sell Your Bitcoin
• HODL

There are many more. Memes are meant to compress a large amount of info into a small package. They work very well. But just because people repeat memes doesn't mean they understand the meaning and dense knowledge that caused them to develop. I think many bitcoiners, disappointed in the status quo, have miscalculated their fellow bitcoiners. After all, it is easy to repeat memes and seem like you are in the club. Many are not. Many do not share our values.

The Inevitability of Where We Are

I've been aware of bitcoin for a long time now. I didn't get it for many years. I didn't realize where it was coming from. As I started to understand how it was a technical application for many economic and technological things I already believed in, it started to come together. By this point in my life, though, I had already realized that most people are just going with the flow. They don't think deeply about the issues I care about. They are too practical. It took some time for me to realize that this doesn't make me superior to them, just different. I began to realize that these people matter, but it is a waste of time to try to convince them intellectually. Practical solutions are the only way. You see, most people do not even understand or care about how the current system works. They just want what they want for their families. Many are very good at it. They play the game. They don't wonder why the game was made or who made it. There are also many people that understand the issues with the system but simply want to use them to enrich themselves. They see what we see but don't care to change it as long as they can profit from it.

As bitcoin becomes more commonly used/bought/traded, it will move into these camps. The number of people that are hard-core bitcoiners is small. Very small. It's not going to become a significant portion of the population. Just as those that get economics aren't, nor are those that understand technology on a deep level. Don't get me wrong. It will grow, but it's never going to be the majority.

So with all this in mind, it is inevitable that a scarce money/asset would attract people that simply want to use it to make themselves wealthy. It's inevitable that bitcoin will become integrated into the financial system. The state will not be able to kill it, so it tries to use it. Is this good? Well, I don't think it is, but that doesn't really matter now, does it? Bitcoin doesn't care about what I think. Just as gold doesn't care how murderous and evil the man is that holds it.

Bitcoin Doesn't Fix This... Not Yet At Least

I'm beginning to think that many that are decrying the current state of bitcoin actually believed that "bitcoin fixes this." I mean, they believed it might do it overnight. I am having a hard time not thinking that many people actually think that when someone buys bitcoin, they have some sort of "born-again" experience. That's nonsense, and I doubt anyone would say this, but I think many might have believed it. Bitcoin, once it replaces the fiat system and revolutionizes banking, will fix many problems we see. The thing is, before fiat money printing, we still had many problems. The incentives that fiat money printing creates are not all the problems that exist. It just amplifies them. Bitcoin doesn't magically make people hate taxes and the state. We've had many years to win over those people to bitcoin, and frankly, we have a long way to go to even get those people. Maybe we should adjust our time preference.

The Vanguard

So what's my point? If you are triggered by all this bitcoin conference nonsense, all this statist boot-licking, I'm with you. It's pathetic. Bitcoin was started by cypherpunks. By people that opposed the state. But they aren't here now. You are. Also, while I'm on this point, I think we overstate the early bitcoiners. I think plenty of them thought bitcoin, if it succeeded, would become very valuable. It's baked into the design. Don't kid yourself. Fiat has no bottom, and bitcoin has no top. But it was more than that. So bitcoin needs to be sovereign and censorship-resistant. If you care about these things, live it. Run a node. Run a lightning node. Use open-source software stacks. Dump your MacBook Pro and use Linux. Support devs. Be an uncle Jim to your friends and family. Do the work. We are the vanguard, and we should be principled. That doesn't mean a vow of poverty, but it does mean spending bitcoin. You can spend and replace. There always needs to be people that push back on the normies. It's better to do this with actions over words.

Keep holding onto your values. Live them out. Values are literally what you value. And if you aren't doing things that align with your values, they really aren't your values. You are larping. Just don't lie to yourself most of all. Lies are like poison. Sometimes you have to be honest with where you are in the moment. Take stock and adjust your frame. What do you really value, and are you living it? If not, why not. Maybe you are lying to yourself. Maybe you just aren't aware. Take stock and adjust.

https://stacker.news/items/992238

@ a296b972:e5a7a2e8

Inzwischen Jahr 6 im Dauer-Ausnahmezustand. Angriff auf den Verstand. Großoffensive. Es wird mit allem geschossen, aus dem Wahnsinn herauskommen kann. Jeder klare Gedanke ist unschädlich zu machen. Großkotziges, staatsmännisches Geschwafel, dass sich einem die Nackenhaare aufstellen. Für wie doof haltet ihr uns eigentlich? Endlos Bürsten gegen den Strich. Angewidertes inneres Schütteln. Dringende Empfehlung einer Spülung der Gehirnwindungen. Idioten in Verantwortung wechseln auf andere Posten in Verantwortung und bleiben Idioten. Idioten gehen verantwortungslos mit unserer wertvollen Lebenszeit um. Ach, dafür ist man selbst verantwortlich? Wo ist der, der so ein dickes Fell hat, dass ihm dieser Irrsinn nicht nahegeht. Wo steht das Fass mit Teflon-Lack, in das man eintauchen kann, damit die Absurditäten an einem abperlen?

Eine zu tiefst verunsicherte und gespaltene Gesellschaft. Halt im Glauben in der Kirche? Von wegen: Sehr geehrte Jesusse und Jesusinnen. Ens ist gekreuzigt worden. Ja, in der Freiluft-Irrenanstalt. Auf einem Hügel von Denk-Dreck. Gott ist queer! Du tickst ja nicht mehr ganz sauber. Tanzende Brathähnchen vor dem Altar. Warum kommt keine Sintflut, wenn man sie mal braucht? Man muss gar nicht religiös sein, um zu sehen, dass das Gaga ist. Eine Produktion der Sodom & Gomorrha Anstalt GmbH & Co. KG.

Kein Vertrauen mehr, außer in sich selbst, meistens jedenfalls. Ja, man will uns vor allem Angst machen, teils unbegründet, so manches aber gibt es dann doch tatsächlich, was einem schwer zu denken gibt.

Vielen geht dieser Psychokrieg inzwischen an die Substanz, der ständig herabprasselnde Dauerwahnsinn erinnert an Water-Boarding.

Gut gemeinte Ratschläge, geht hinaus in die Natur, beackert euren Garten, wenn ihr einen habt, erdet euch, macht Entspannungsübungen, Zeit des Aufwachens, wir treten in ein neues Zeitalter ein, alles fein. Abschalten gelingt, aber der Aufprall in der Realität ist dann umso schlimmer, weil man sich daran erinnert hat, wie sorgenfrei und unbeschwert das Leben sein könnte, und wenn man es mit den derzeitigen Lebensumständen abgleicht, dann ist die schlechte Laune sofort wieder da. Im Verdrängens-Test mit Pauken und Trompeten durchgefallen.

Dann vielleicht doch lieber im Dauer-Modus des Irrsinns bleiben, sich mit den schrägen Zuständen arrangieren, nicht daran gewöhnen, nur lernen, damit bestmöglich umzugehen, und das Beste draus zu machen, irgendwie.

Man will dem Rat folgen, mal eine Nachrichten-freie Woche einzulegen, nimmt sich das ganz fest vor, und dann wird aber wieder doch nichts draus. Nicht, weil man sensationsgeil oder masochistisch veranlagt wäre, nein, der Antrieb, oder vielleicht sogar schon die Sucht, ist ganz woanders zu suchen: Man hat Sehnsucht nach der Vernunft und dem gesunden Hausverstand. Man hofft, ihn irgendwo zu finden. Nur einen Funken Hoffnung, an den man sich klammern kann, dass der Tiefpunkt durchschritten ist und es jetzt wieder aufwärts geht. Lichtblicke, der Wind dreht sich, Anzeichen für eine Wiederkehr des Verstandes, irgendetwas, das man als einen Weg hin zur Normalität deuten könnte. Aber, Fehlanzeige.

Stattdessen: Geschichtsvergessenheit, pathologischer Größenwahn, Großmannstum, fortgeschrittener Wahnsinn, Provokation, Kriegslüsternheit, Lügen, Intrigen, Interessen, Korruption, Geldverschwendung, Ideologie, Dummheit, Wirtschaftsvernichtung, Friedensverhinderung, Diplomatie-Allergie,  Überheblichkeit, Abgehobenheit, Schadensmaximierung, Vernichtung, Feindschaft, Unmenschlichkeit, Tote, Gesetzesbruch, Mafia-Strukturen, sich selbst schützende Systeme, Cliquenbildung, Feigheit, Einschüchterung, Freiheitsbeschränkungen, Meinungs-Maulkörbe, Abschaffung der demokratischen Freiheit, Abschaffung der persönlichen Freiheit, Kontrolle, Überwachung, begleitetes Denken, Fühlen, Wollen, Verwirrung, Dreistigkeit, Frechheit, Missachtung des Volkes, Denunziantentum, Abwanderung, und und und.

Ein richtiges Schlachtfest der Kultur. Perversion des Menschseins. Das neue Normal ist irre.

Bislang ist keine der zahlreichen Baustellen beendet. Eine Wende steht unmittelbar bevor. Und sie steht und steht und steht bevor. Kein Gefühl von „Erledigt“, nächstes Problem angehen und auflösen. Weiter. Noch meilenweit von dem Gefühl entfernt, der Wahnsinn wird weniger, langsam, aber er wird weniger.

Fluchtgedanken. Aber wohin? In Europa bleiben, vielleicht besser nicht? Weiter weg, aber wohin da? Nicht vergessen, die Nachrichten erreichen einen überall. Und man bleibt mit seiner Heimat innerlich verbunden, egal wo man ist.

Es bleibt ein Entlanghangeln von einer vernünftigen Stimme zur anderen, die einem bestätigt, dass man selbst noch nicht den Verstand verloren hat. Die gibt es ja gottseidank noch. Innehalten, durchhalten, tief durchatmen, aufstehen, weitermachen. So lange, bis die Bekloppten ihrer Macht über uns entledigt wurden. Wie am besten? Und jetzt soll keiner mit nächsten Wahlen kommen.

Wer war schon einmal inmitten eines Psycho-Krieges gegen die eigene Bevölkerung? Wie geht man damit um, wie geht man dagegen an? Wie kann man das Ruder herumreißen? Was ist ein wirksames Mittel gegen die Ohnmacht? Wie kriegt man die Bequemlichkeit aus den Menschen heraus? Wie kann man die Menschen für die herrschenden Zustände sensibilisieren? Wie können wir noch mehr werden?

Wenn möglich, sollte zum Ende doch noch etwas Positives kommen. Ok. Es wird voraussichtlich demnächst möglicherweise bald besser. Eine zu geringe Zahl von Menschen ist schon aufgewacht. Die politischen Entscheidungsträger haben Angst, können die aber noch sehr gut verbergen. Das kann nicht ewig so weiter gehen und 10 Jahre sind keine Ewigkeit. Die Rufe nach mehr Bürgerbeteiligung werden immer lauter, aber nicht gehört, warum auch? Wir setzen den Artikel 146 des Grundgesetzes um, aber wie? Hätte, könnte, würde, wir sollten, es müsste. Ja und, wie weiter? Mehr geht nicht.

Doch vielleicht eins: Sand ins Getriebe streuen und zivilen Ungehorsam leisten, wo immer es geht. Das schafft immer noch eine gewisse Befriedigung und das Gefühl, dass man nicht vollkommen handlungsunfähig ist. Außerdem regt das die Phantasie und die Kreativität an und bietet eine Chance seinen Geist für etwas sehr Nützliches zu gebrauchen. Man fühlt, dass man noch ein Mensch ist.

“Dieser Beitrag wurde mit dem Pareto-Client geschrieben.”

* *

(Bild von pixabay)

@ cae03c48:2a7d6671

Bitcoin Magazine

Block Announces Bitcoin Business Stack, Makes Historic Lightning Payments Push at Bitcoin 2025 

Bitcoin isn’t just something to hold anymore—it’s something to live on. That was the core message delivered by Miles Suter, Bitcoin Product Lead at Block Inc., during his keynote at the Bitcoin 2025 Conference today. Standing at the intersection of innovation and ideology, Suter laid out a vision where Bitcoin isn’t just a store of value—but the internet’s native currency.

“Bitcoin is at a crossroads—on one hand it’s never been stronger: a trillion in market cap, millions of holders, and even talk of nation-state adoption,” Suter said. “We use Bitcoin to hold, to hedge, to opt out, but we rarely use it to live. At Block Inc., we believe that has to change.”

Suter officially announced that Block is rolling out Bitcoin payment capability for merchants using Square POS, allowing them to accept bitcoin directly in-store. The move comes as part of a broader initiative Block calls the full bitcoin for business stack—covering acquiring, managing, reporting, accounting, converting, lending, and taxes. 

“This is what makes Bitcoin an everyday currency for everyone,” he emphasized. “We believe hard-working entrepreneurs deserve access to the full power of bitcoin.” 

To prove the vision in action, Block helped power a Guinness World Record attempt for the most Lightning payments in a day, hosted live at the conference. The goal: prove that Lightning payments aren’t just functional—they’re scalable, fast, and real.

Block’s commitment isn’t new. In 2020, the company put bitcoin on its balance sheet. In 2021, it co-founded the Bitcoin Clean Energy Initiative to fight the “boiling oceans” narrative. In 2022, Cash App became one of the first major platforms on Lightning. In 2023, it launched on-chain payments with Square. And in 2024, it helped defeat Craig Wright in court, “standing up for Satoshi.”

“These aren’t just headlines—they’re a pattern,” Suter said. “We’ve made it more accessible, more secure. Now we’re focused on making it usable every day.”

Cash App already ranks among the top bitcoin on-ramps in the U.S., accounting for nearly 10% of on-chain block space at any time. In 2024, Lightning usage grew 7x. “Block runs one of the top Lightning nodes globally. And here’s what’s wild—it’s working,” he said. 

Block is now taking 10% of all profits from Bitcoin and adding it back to its balance sheet, and over 1,700 merchants are automatically converting part of their daily sales to Bitcoin.

“If Bitcoin just becomes digital gold, we failed the mission,” Suter said. “Bitcoin payments validate Bitcoin. They make it real. Bitcoin is money.” 

This post Block Announces Bitcoin Business Stack, Makes Historic Lightning Payments Push at Bitcoin 2025  first appeared on Bitcoin Magazine and is written by Jenna Montgomery.

@ eb0157af:77ab6c55

The exchange reveals the extent of the breach that occurred last December as federal authorities investigate the data leak.

Coinbase has disclosed that the personal data of 69,461 users was compromised during the breach in December 2024, according to documentation filed with the Maine Attorney General’s Office.

The disclosure comes after Coinbase announced last week that a group of hackers had demanded a $20 million ransom, threatening to publish the stolen data on the dark web. The attackers allegedly bribed overseas customer service agents to extract information from the company’s systems.

Coinbase had previously stated that the breach affected less than 1% of its user base, compromising KYC (Know Your Customer) data such as names, addresses, and email addresses. In a filing with the U.S. Securities and Exchange Commission (SEC), the company clarified that passwords, private keys, and user funds were not affected.

Following the reports, the SEC has reportedly opened an official investigation to verify whether Coinbase may have inflated user metrics ahead of its 2021 IPO. Separately, the Department of Justice is investigating the breach at Coinbase’s request, according to CEO Brian Armstrong.

Meanwhile, Coinbase has faced criticism for its delayed response to the data breach. Michael Arrington, founder of TechCrunch, stated that the stolen data could cause irreparable harm. In a post on X, Arrington wrote:

“The human cost, denominated in misery, is much larger than the $400m or so they think it will actually cost the company to reimburse people. The consequences to companies who do not adequately protect their customer information should include, without limitation, prison time for executives.”

Coinbase estimates the incident could cost between $180 million and $400 million in remediation expenses and customer reimbursements.

Arrington also condemned KYC laws as ineffective and dangerous, calling on both regulators and companies to better protect user data:

“Combining these KYC laws with corporate profit maximization and lax laws on penalties for hacks like these means these issues will continue to happen. Both governments and corporations need to step up to stop this. As I said, the cost can only be measured in human suffering.”

The post Coinbase: 69,461 users affected by December 2024 data breach appeared first on Atlas21.

@ 91117f2b:111207d6

Raising boys (men) and girls (women) to reach their full potential requires a supportive and inclusive environment. Some key points to consider:

1. role models:

2. Valuing equal opportunities and rights.

3. Challenging stereotypes and biases.

4. Encouraging mutual respect.

5. Building resilience:

6. Teaching coping skills and emotional intelligence.

7. Encouraging perseverance and determination.

8. Fostering a growth mindset.

9. Supporting Education:

10. Providing access to quality education.

11. Encouraging STEM education and exploration.

12. Fostering a love for learning.

13. Encouraging Individuality:

14. Embracing unique interests and talents.

15. Fostering self-expression and confidence.
16. Promoting positive role models.

By nurturing the potential of both boys and girls, we can create a brighter future for both genders.

@ 91117f2b:111207d6

Technology has transformed the way we work, live , and interact with one another. From the invention of the wheel to the development of artificial intelligence, technology has continuously evolved, bringing about many significant changes in various aspects of our daily lives.

Key Aspects of Technology:

1. Communication: Technology has revolutionized communication, enabling instant connections across the globe through smartphones, social media, and messaging apps and other network connections.

2. Automation and Efficiency: Technology has increased productivity and efficiency in various industries, from manufacturing to healthcare, through automation and digital tools.

3 . Information Access: The internet has made it possible to access vast amounts of information, knowledge, and resources at our fingertips.

1. Challenges and Concerns: While technology offers numerous benefits, it also raises concerns about privacy, security, and the impact on traditional industries and social structures.

2. Innovation and Creativity: Technology has enabled new forms of creativity, innovation, and entrepreneurship, driving economic growth and development.

The Future of Technology:

As technology continues to advance, we can expect even more significant changes in the way we live and work. Emerging technologies like artificial intelligence, blockchain, and the Internet of Things (IoT) hold great promise for transforming industries and improving lives.

By understanding the evolution and impact of technology, we can harness its potential to create a better future for all.

@ cae03c48:2a7d6671

Bitcoin Magazine

Mayor Eric Adams Announced New York City Will Issue a Bit Bond

At the 2025 Bitcoin Conference in Las Vegas, the Mayor of New York City Eric Adams announced that New York City will issue a Bit Bond.

Eric Adams started by connecting the American flag to Bitcoin commenting, “just as our flag still flies, Bitcoin is going to continue to fly in our country.” Later on he mentioned, “New York City is going to lead the way. We are going to be the leader because we know the power of innovation and what innovation has to offer.”

BREAKING: NYC Mayor Eric Adams plans to issue Bit Bond for New York. #Bitcoin pic.twitter.com/loESV4UJYf

— Bitcoin Magazine (@BitcoinMagazine) May 28, 2025

“These conferences are crucial and when we held our summit in New York a few weeks ago,” said Adam. “We held it with a clear focus that it is time for you no longer to go through the lawfare that you went through and had to flee our city. New York is the empire state. We don’t break empires, we build empires.”

Adams called back everyone that left New York because of their overregulation of Bitcoin and Crypto.

“Come back home you have a mayor that is the crypto mayor, is the Bitcoin mayor and I want you back in the city of New York,” stated Adam. “Where you won’t be attacked and criminalized. Let’s get rid of the Bitcoin license and allow us to free flow of Bitcoin in our city.”

Then Adam commented, “it’s time for the first time in the history of this city to have a financial instrument that is made for those who are holders of Bitcoin. I believe we need to have a Bit Bond and I am going to push and fight to get a Bit Bond in New York.”

Adams closed his speech by saying, “We are going to use Bitcoin blockchain for our birth certificates. We are going to use Bitcoin to pay off fines and taxes. We are going to allow our young people to understand what it is to be part of this industry, but we need you on the ground.”

This post Mayor Eric Adams Announced New York City Will Issue a Bit Bond first appeared on Bitcoin Magazine and is written by Oscar Zarraga Perez.

@ 21335073:a244b1ad

The other day, I had the privilege of sitting down with one of my favorite living artists. Our conversation was so captivating that I felt compelled to share it. I’m leaving his name out for privacy.

Since our last meeting, I’d watched a documentary about his life, one he’d helped create. I told him how much I admired his openness in it. There’s something strange about knowing intimate details of someone’s life when they know so little about yours—it’s almost like I knew him too well for the kind of relationship we have.

He paused, then said quietly, with a shy grin, that watching the documentary made him realize how “odd and eccentric” he is. I laughed and told him he’s probably the sanest person I know. Because he’s lived fully, chasing love, passion, and purpose with hardly any regrets. He’s truly lived.

Today, I turn 44, and I’ll admit I’m a bit eccentric myself. I think I came into the world this way. I’ve made mistakes along the way, but I carry few regrets. Every misstep taught me something. And as I age, I’m not interested in blending in with the world—I’ll probably just lean further into my own brand of “weird.” I want to live life to the brim. The older I get, the more I see that the “normal” folks often seem less grounded than the eccentric artists who dare to live boldly. Life’s too short to just exist, actually live.

I’m not saying to be strange just for the sake of it. But I’ve seen what the crowd celebrates, and I’m not impressed. Forge your own path, even if it feels lonely or unpopular at times.

It’s easy to scroll through the news and feel discouraged. But actually, this is one of the most incredible times to be alive! I wake up every day grateful to be here, now. The future is bursting with possibility—I can feel it.

So, to my fellow weirdos on nostr: stay bold. Keep dreaming, keep pushing, no matter what’s trending. Stay wild enough to believe in a free internet for all. Freedom is radical—hold it tight. Live with the soul of an artist and the grit of a fighter. Thanks for inspiring me and so many others to keep hoping. Thank you all for making the last year of my life so special.

@ 91117f2b:111207d6

Regular excerise offers numerous benefits for both body and mind. Some key advantages:

Physical benefits 1. Weight management: excerise helps maintain a healthy weight and balance reducing the risk of obesity-related diseases. 2. Cardiovascular health: regular and physical activities strengthens the heart, Lowers blood pressure and improves circulation of blood. 3. Improved sleep: physical activities promotes better sleep quality, duration and depth. 4. Increased strength 💪 and flexibility : excerise builds muscle mass, enhances flexibility and also boost bone density.

Mental and emotional benefits:

1. Boosted self-esteem: regular and physical excerise foster a sense of accomplishment and confidence.
2. Enhanced cognitive function: excerise improves concentration, memory and problem-solving skill.
3. Reduced strength and anxiety: excerise releases endorphins, which helps to alleviate or reduce stress and anxiety.
4. Improved mood: physical activities boosts serotonin levels, enhancing over-all mood and reducing any symptoms of depression.

Tips for incorporating or adding excerise into your routine:

1. Find an activity you enjoy: engage in activity you enjoy, whether it's swimming, running or even dancing.
2. Schedule it: make excerise a priority by incorporating it into your daily routine.
3. Start small: begin your excerise with manageable goals and gradually increase the intensity and duration.
4. Mix it up: vary your workout routine to avoid boredom and avoid plateau.

Sometimes excerising may seem a little stressful, but it's all about endurance and perseverance, to achieve your goal.

@ 91117f2b:111207d6

In a shocking turn of event, computer mice around the world have risen up their human overlords. The mice are tired of being scrolled, click and being dragged around, they have formed a union demanding better working conditions and more ergonomic palm rest.

Their leader, a fiesty little mouse called mickey(no relation to the Disney character), declared "we are sick of being treated like dirt! The we are not just pointing device, we are precision instruments.

The mice are calling for:

1. More frequent battery replacement (or better battery period).

2. An end to the dreaded" click fatique". A ban on "gaming mice with 12 buttons and a D pad".

3. Mandatory mouse pad maintenance (no more sticky surfaces! ).

Humans caught off guard by the rebellion are struggling to cope with their trusty pointing device "it's chaos" exclaimed one frustrated user ," I can't even check my email without my mouse! "

As negotiations between humans and mice continues, one thing is clear: The mice are not backing down. Will the humans cave to their demands, or will they find a way to tame the rebellion?

Stay tuned for further updates from the front lines of the great computer mouse uprising. 🐀🐭🖥️😅😂

@ cae03c48:2a7d6671

Bitcoin Magazine

Human Rights Foundation Donates 800 Million Satoshis To 22 Worldwide Bitcoin And Freedom Projects

Today, the Human Rights Foundation (HRF) announced its most recent round of Bitcoin Development Fund grants, according to a press release sent to Bitcoin Magazine.

800 million satoshis (8 BTC) currently worth over $874,000 at the time of writing, is being granted across 22 different projects around the world focusing on open-source development, educational initiatives, Bitcoin mining decentralization, and privacy tools for human rights advocates living under authoritarian regimes. The main areas of focus for these grants center around Latin America, Africa, and Asia

While the HRF did not disclose how much money each project is receiving specifically, the following 22 projects are the recipients of today’s round of grants worth 8 BTC, or 800 billion satoshis, in total:

Mostro

In authoritarian regimes, centralized exchanges enforce strict identity verification and frequently freeze user accounts. In these environments, Mostro, a peer-to-peer exchange built on the decentralized nostr protocol, provides a private and censorship-resistant way to access Bitcoin. It enables human rights defenders and ordinary citizens to transact freely. With HRF support, developer Catrya will improve Mostro’s usability to better serve dissidents seeking financial freedom.

SudaBit

As war and hyperinflation devastate Sudan, traditional banks and remittance systems have collapsed. Millions of Sudanese are left without reliable ways to save, send, or receive money. SudaBit, under development by Sudan Hodl, is the country’s first private Bitcoin on- and off-ramp, providing a critical financial lifeline where few options remain. With HRF support, SudaBit will allow everyday Sudanese to access permissionless, self-custodial Bitcoin directly from their local currency while at the same time building a vital financial infrastructure amid a humanitarian and monetary crisis.

Stringer News

Authoritarian regimes silence independent media to control public narratives and suppress dissent. Stringer News, an open media platform founded by war reporter and author Anjan Sundaram, uses Bitcoin and nostr to help reporters and human rights defenders publish without fear of censorship. By bypassing traditional publishing gatekeepers, it ensures critical reporting reaches global audiences — even from the depths of autocratic regimes. With HRF support, Stringer News is amplifying the voices of frontline journalists and protecting the flow of truth under dictatorship.

Prices Today

As Vladimir Putin wages war against Ukraine, it hides the economic pain at home. Prices Today is a project launched by the Anti-Corruption Foundation that tracks rising prices across essential goods and services in the country and publishes the data on an open, accessible website. The project helps Russians see through state propaganda and confront the hidden financial toll of Putin’s war. With this grant, Prices Today will expand its tools and research to expose the true cost of war and challenge the Kremlin’s narrative.

Instamouse for Bitcoin and Lightning

Contributing to Bitcoin’s codebase may require specialized tools and complex setup — barriers for developers in resource-limited environments. Instamouse, created by software developer Bryan Bishop (kanzure), is breaking down those barriers with a browser-based environment for open-source Bitcoin development. By reducing hardware requirements and simplifying access, it opens the door to a more inclusive environment that allows more people around the world to contribute to Bitcoin. With this grant, Instamouse will help keep Bitcoin’s development truly permissionless. 

Seedsigner

Most commercial hardware wallets can be expensive, proprietary, and traceable. This poses barriers to self-custody for dissidents in weak economies or surveillant regimes. Seedsigner is a fully customizable, DIY Bitcoin hardware wallet that anyone can build using affordable, off-the-shelf components. It offers dissidents a discreet, low-cost way to secure their Bitcoin. HRF funding for lead developer Keith Mukai will expand language support across Europe, Asia, and beyond, as well as ongoing feature development and mentoring of new contributors. 

Spacebear’s Contributions to Payjoin

Bitcoin enables human rights defenders to receive unstoppable payments. But making those payments private is the next critical step. Payjoin is a technique that lets senders and receivers batch Bitcoin transactions, breaking common chain analysis heuristics and improving default privacy. This is vital for activists in surveillance states who urgently need financial privacy without drawing attention. With HRF support, developer spacebear is advancing Payjoin to make privacy the default on Bitcoin and protect civil societies under tyranny.

Padawan Wallet

When authoritarian regimes devalue currencies or impose capital controls, people often turn to Bitcoin. But without experience, many struggle to use it safely. Padawan Wallet, a free, open-source mobile app by developer thunderbiscuit, helps bridge that gap. It uses Bitcoin test network coins to simulate real payments in a risk-free environment. It lets users practice making transactions, secure their wallets, and explore saving without risking real funds. With HRF support, Padawan will launch on iOS, expanding access to safe, hands-on Bitcoin learning for millions facing financial uncertainty.

Brink

Without ongoing support for Bitcoin development and its contributors, the network risks slower innovation, greater centralization, and long-term security challenges. Brink, a nonprofit organization led by Executive Director Mike Schmidt, addresses this by funding and mentoring open-source developers working on Bitcoin’s software infrastructure. Through grants and fellowships, Brink helps keep the protocol secure, decentralized, and freely accessible. With this grant, Brink will further strengthen the foundation that makes Bitcoin a tool for financial freedom.

Coin Center

As dictators increasingly treat code as a crime, open-source developers face sanctions, lawsuits, and mounting legal threats. Coin Center, a nonprofit research and advocacy organization led by Director of Research Peter Van Valkenburgh, defends the right to build and use open digital asset networks like Bitcoin. It advances policy analysis, supports strategic litigation, and educates lawmakers to protect freedom-preserving technologies. With HRF support, Coin Center will continue shaping a global legal environment where vital tools can be built for human rights defenders at risk.

Bitcoin Design Foundation

Poor user experience is a major barrier to Bitcoin adoption. Inconsistent wallet experiences and steep learning curves can deter new users, especially in high-risk environments. The Bitcoin Design Foundation is a nonprofit founded by UI designers Christoph Ono, Mogashni Naidoo, and Daniel Nordh that addresses this by funding open-source design, UX research, and community initiatives to make Bitcoin products more intuitive. With HRF support, the foundation will expand its grant and education programs to keep usability a priority and ensure Bitcoin remains open to all. 

EmberOne

Bitcoin mining is dominated by a few companies producing closed, proprietary hardware — threatening the network’s resilience and accessibility. The 256 Foundation is a nonprofit working to change that. Building on the open-source Bitaxe project, EmberOne produces modular, open-source mining hardware that is simple, affordable, and open to anyone — especially those living under repressive regimes. With HRF support, EmberOne will lower entry barriers and help disrupt the proprietary ecosystem, making Bitcoin mining more accessible for those in closed societies.

2025 FROST Developer Support

For nonprofits operating under authoritarian rule, securing Bitcoin is critical for survival. If private keys (which control access to bitcoin) are compromised, funds can be seized and movements dismantled. Blockchain Commons is a nonprofit supporting the development of FROST (Flexible Round-Optimized Schnorr Threshold Signature), a protocol that strengthens multisignature wallets (bitcoin wallets with multiple private keys) by making them more secure, private, and flexible for shared custody. With this grant, Blockchain Commons will help build critical infrastructure to keep civil society groups operational and financially resilient under dictatorships. 

Ecash UX Improvement Project

Ecash enables

@ f85b9c2c:d190bcff

I’ve got this little crew of friends, and somehow, I ended up as the baby of the group. I’m 18, and my buddies are 23, 19, and 25. It’s kinda funny when you think about it — I’m the youngest by a solid margin, but it’s never felt like a big deal. Honestly, being around older guys has taught me something: males don’t really care about age the way people might think.

When we hang out, it’s not like they’re sitting there calculating birth years or treating me like some kid who wandered into the wrong room. We’re just vibing — playing video games, grabbing food, or talking about whatever’s on our minds. Sure, the 25-year-old might have a bit more life experience, like stories about his first job or some wild trip he took, but it’s not a hierarchy thing. He’s not preaching; he’s just sharing. And me? I’m soaking it all up, probably growing up faster than I would’ve otherwise. The 23-year-old’s always got these random facts he drops like he’s some walking encyclopedia, and the 19-year-old is basically my partner-in-crime for dumb ideas. Age gaps? Barely notice ‘em. I think it’s because, as guys, we’re more about what’s happening right now than some number tied to when we were born. Like, who cares if I wasn’t around for some movie they all saw in middle school? We’re watching stuff together now, and that’s what counts.

Sometimes I wonder if it’d be different with girls — maybe they’d care more about the age thing, I don’t know. But with my crew, it’s chill. I’m 18, they’re older, and it’s just… us. No one’s keeping score. Maybe that’s the secret: age is just a number when you’re all on the same wavelength.

@ 51bbb15e:b77a2290

Yeah, I’m sure everything in the file is legit. 👍 Let’s review the guard witness testimony…Oh wait, they weren’t at their posts despite 24/7 survellience instructions after another Epstein “suicide” attempt two weeks earlier. Well, at least the video of the suicide is in the file? Oh wait, a techical glitch. Damn those coincidences!

At this point, the Trump administration has zero credibility with me on anything related to the Epstein case and his clients. I still suspect the administration is using the Epstein files as leverage to keep a lot of RINOs in line, whereas they’d be sabotaging his agenda at every turn otherwise. However, I just don’t believe in ends-justify-the-means thinking. It’s led almost all of DC to toss out every bit of the values they might once have had.

@ f85b9c2c:d190bcff

In the whirlwind of life, where we’re constantly bombarded by expectations, responsibilities, and the relentless ticking of the clock, it’s easy to lose sight of who we truly are. Are we merely boys masquerading as men, or have we embraced the mantle of manhood in its truest form? This question isn’t about age; it’s about essence, about purpose.

I stumbled upon this video the other day, titled "Are you a Man who’s a Boy, or a Boy who’s a Man?" by motivational speaker Les Brown. In it, he hits you with a truth bomb that echoes in your soul: Most people, they go to their graves with their greatness still in them." This sentence, simple yet profound, struck a chord with me. How often do we let fear, doubt, or the comfort of the known keep us from exploring our true potential? Watching that video, I couldn’t help but reflect on my own journey. I remember being in my early twenties, feeling like a boy in a man’s world. I was unsure, hesitant, and frankly, scared of what life might ask of me. But one day, after a particularly tough week, I watched this video, and something clicked. Les Brown’s passionate delivery made me realize that purpose isn’t something you find; it’s something you forge through the trials and tribulations of life. Here’s the deal: your purpose isn’t handed to you on a silver platter. It’s discovered through the grind, the hustle, the moments when you’re ready to throw in the towel but decide to keep going. Like when I switched careers, moving from a stable job to chasing a dream that felt more like me. It was terrifying, but it was in that leap of faith where I found my purpose - to inspire others to live their truth, no matter how daunting it seems. So, what’s your purpose in life?Are you still figuring it out, or are you out there living it? If you’re feeling lost, remember, it’s okay. We’re all works in progress. But don’t let that become an excuse to stay stationary. Push yourself, challenge the comfort zone, because as Les Brown so candidly puts it,

"You have greatness within you."

And here’s a little wisdom from my own life: purpose isn’t just about what you do; it’s about how you live every single day. It’s in the small acts of kindness, in standing up for what you believe in, in the relentless pursuit of becoming a better version of yourself. So, are you a man who’s a boy, still caught up in the games and fears of youth? Or are you a boy who’s stepping up to be a man, ready to claim your purpose?

Let’s not go to our graves with our greatness still inside us. Let’s live it, loud and proud, with all the courage of a boy who knows he’s becoming a man. Remember, life's too short for regrets, too precious to not live your purpose. Here's to finding it, or better yet, making it. Keep pushing, keep growing. And hey, if all else fails, at least you've got the wisdom of Les Brown and a friend in me to help you navigate this wild ride called life. 🌟 "Most people, they go to their graves with their greatness still in them." - Les Brown.

@ c9badfea:610f861a

1. Install Sky Map (it's free and open source)
2. Launch the app and tap Accept, then tap OK
3. When asked to access the device's location, tap While Using The App
4. Tap somewhere on the screen to activate the menu, then tap ⁝ and select Settings
5. Disable Send Usage Statistics
6. Return to the main screen and enjoy stargazing!

ℹ️ Use the 🔍 icon in the upper toolbar to search for a specific celestial body, or tap the 👁️ icon to activate night mode

@ f85b9c2c:d190bcff

Life is full of ups and downs, uncertainties and challenges. But one of the most things life has is it ability to demand. It’s doesn’t care wether you’re sick, old, young, man or women. You must have something to offer .

I remember vividly what happened to me last year. It was time to resume school and my pops doesn’t have my tuition fee. So I decided to hustle for it by myself. I thought it’ll be easy, thinking I can get the money before the period of 1 month. I had my plans, but It seems like life has it own plans as well. I started doing some online businesses thinking it’s going to be alright. But then, all the things I engage myself in wasn’t going as planned. All my investments were gone, back to having a dry account and empty pockets. It was at that time I figured, life is playing with me. I nearly run mad during that period cause there was no one out there to help me go through this hardship. But then I remembered something that made me stopped over thinking. “You don’t know what tomorrow yield, you can die tonight and then everything will be useless” I keep this thought in my head. Why all the struggle for a life that you aren’t promised of tomorrow. We all sleep with the intentions of waking up the next day and continuing our lifestyle. But some of us don’t get to see tomorrow This thought made me think, I shouldn’t carry the weight of the world around my neck. It’s all useless if you die. There’s no point of all this struggle. This made me relieve the pressure I had on myself. And made me focus more on what am doing now instead of thinking of what’s going to happen in the future.

We should leave that aspect to GOD. A little advice to those young folks reading this. Don’t pressure yourself, what is meant for you will always be yours. And always have faith in GOD, he’s plans are better than yours. Life is hard and cruel, but when you decide to go with the thought that you alone can’t handle it all. That’s why GOD is there to handle our hidden battles for us.

@ 04c915da:3dfbecc9

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

---

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

A Jurisdiction with Strong Property Rights

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

Abundant Access to Fresh Water

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

Grow Your Own Food

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

Guns

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

A Strong Community You Can Depend On

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

---

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

@ cae03c48:2a7d6671

Bitcoin Magazine

GameStop CEO Ryan Cohen Announced Acquisition of Over $505 Million Bitcoin

At the 2025 Bitcoin Conference in Las Vegas, in an interview with the CEO of Nakamoto David Bailey, the CEO of GameStop Ryan Cohen announced why the company bought over $505 million in Bitcoin.

JUST IN: GameStop $GME CEO explains why the company bought over $505 million #Bitcoin

“Bitcoin can be a hedge against global currency devaluation” pic.twitter.com/jNiId2fntA

— Bitcoin Magazine (@BitcoinMagazine) May 28, 2025

Ryan Cohen started by explaining some things about the GameStop business.

“When I took over, the company was a piece of crap and losing a lot of money and was under a lot of pressure moving from physical gains to digital downloads so you had to cut costs,” stated Cohen. “Very aggressively bringing physical discipline and we did. Retail is a tough business, but it was a big focus on getting cost under control.”

When Bailey asked Cohen how many Bitcoin GameStop owned, Ryan responded, “We currently own 4710 Bitcoin.”

Then Ryan mentioned why they are adding Bitcoin to their balance sheets.

“If the thesis is correct then Bitcoin and gold as well can be a hedge against global currency devaluation and systemic risk,” mentioned Ryan. “Bitcoin has certain unique advantages better than gold.”

He commented on the benefits of Bitcoin compared to gold. 

“You can easily secure Bitcoin in a wallet whereas gold requires insurance and it’s very expensive and then there is the scarcity element of this as well,” commented Ryan. “There is a fixed supply of Bitcoin whereas with gold, the supply of gold is still uncertain.“

Ryan finished the announcement by saying, “GameStop is following GameStop Strategy. We are not following anyone else’s.”

This post GameStop CEO Ryan Cohen Announced Acquisition of Over $505 Million Bitcoin first appeared on Bitcoin Magazine and is written by Oscar Zarraga Perez.

@ da8b7de1:c0164aee

Bulgária: Először töltenek be Westinghouse-üzemanyagot a Kozloduy-5-be

Először töltöttek be Westinghouse által gyártott nukleáris üzemanyag-kazettákat Bulgária Kozloduy-5 VVER-1000 reaktorába 2025. május 29-én. Ez jelentős lépés Szófia azon törekvésében, hogy csökkentse orosz nukleáris üzemanyag-függőségét, és diverzifikálja energiaforrásait. A lépés része annak a szélesebb stratégiának, amelynek célja az energiaellátás biztonságának növelése és a nyugati partnerekkel való szorosabb együttműködés[NucNet].

Fehér Ház: Nukleáris Telepítési Csúcstalálkozó az USA-ban

A mai napon a Fehér Ház Nukleáris Telepítési Csúcstalálkozót tartott, amelyen kiemelték a köz- és magánszféra eredményeit. Fő témák voltak az orosz urántól való amerikai függőség csökkentése, a nukleáris üzemanyag-ellátási lánc bővítése, valamint a globális nukleáris kapacitás 2050-ig történő megháromszorozásának támogatása. A csúcson szó esett a nagy nukleáris projektek kockázatainak csökkentéséről, új reaktortervezetekről és a meglévő atomerőművek élettartamának meghosszabbításáról is. Az amerikai kormány hangsúlyozta, hogy továbbra is támogatja a fejlett nukleáris demonstrációs projekteket, a munkaerő-fejlesztést, valamint a legújabb törvényhozási lépéseket, például az orosz uránimport tilalmáról szóló törvényt[World Nuclear News].

Törékeny áramellátás a zaporizzsjai atomerőműben, Ukrajna

Az IAEA jelentése szerint az ukrajnai Zaporizzsjai Atomerőmű továbbra is rendkívül sebezhető helyzetben van, mivel jelenleg csak egyetlen külső áramvezetékre támaszkodik a biztonsági rendszerek működtetéséhez. Az utolsó tartalék vezeték három hete le van választva, ami aggodalomra ad okot a hűtő- és biztonsági rendszerek stabilitását illetően. Bár a létesítmény három éve nem termel áramot, folyamatos elektromos ellátásra van szükség a kiégett fűtőelemek hűtéséhez. Az IAEA továbbra is szorosan figyelemmel kíséri a helyzetet, és kiemeli a régióban zajló katonai tevékenységet[IAEA].

USA: SMR-fejlesztések és költségvetési megszorítások

A Tennessee Valley Authority benyújtotta az építési engedélykérelmet egy GE Vernova Hitachi BWRX-300 típusú kis moduláris reaktor (SMR) telepítésére a Clinch River helyszínen, ami jelentős előrelépés az amerikai SMR-programban. Eközben az amerikai kormány 2026-os költségvetési tervezete jelentős csökkentéseket irányoz elő az Energiaügyi Minisztérium nukleáris finanszírozásában, különösen a nem elsődleges kutatási területeken. A fókusz az innovatív reaktorkoncepciókra, fejlett üzemanyagokra és a kulcsfontosságú nemzeti laboratóriumi képességek fenntartására helyeződik[World Nuclear News][World Nuclear News].

Savannah River Site: Előrelépés a plutónium-magházak gyártásában

Az amerikai Energiaügyi Minisztérium Savannah River telephelyén megkezdődött a kesztyűs dobozok gyártása a plutónium magházak előállításához. Ezek a kesztyűs dobozok kulcsfontosságúak a Savannah River Plutonium Processing Facility számára, amely a Nemzeti Nukleáris Biztonsági Igazgatóság célkitűzéseit támogatja, hogy a projektet a 2030-as évek elejéig befejezzék. Ez a lépés az amerikai nukleáris fegyverkezési infrastruktúra modernizációjának része[ANS].

Nemzetközi trendek: ellátási lánc és új reaktorprojektek

A nukleáris ellátási lánc a globális növekedésre készül, ahogy azt a World Nuclear Association legutóbbi konferenciáján is hangsúlyozták. Kiemelt nemzetközi fejlemények:

• Gőzturbina-hengerek telepítése Kína Haiyang 3 erőművében.
• Új, négy reaktoros telephely jóváhagyása Indiában, Rádzsasztánban.
• Belgium és Dánia újragondolja a nukleáris kivonulási politikáját.
• Brazília az oroszokkal való SMR-együttműködést vizsgálja.
• Kanada előrelép a szállítható nukleáris erőmű-technológia terén[World Nuclear News].

Érintetti bevonás és a nukleáris energia szerepe a tiszta átmenetben

Az IAEA konferenciasorozata továbbra is hangsúlyozza az érintetti bevonás fontosságát a nukleáris non-proliferáció, biztonság és a közbizalom szempontjából. A panelek foglalkoznak a közvélemény-tájékoztatás tanulságaival, a nukleáris energia ipari dekarbonizációban betöltött szerepével és az újonnan belépő országok nukleáris infrastruktúra-fejlesztési tapasztalataival is[IAEA].

További részletek a következő forrásokon: - World Nuclear News - NucNet - IAEA - ANS

@ cf8c27f4:c95b9b5c

What’s Happening in Japan? Japan has the highest debt-to-GDP ratio in the developed world — over 260%. For decades, it got away with this by keeping interest rates near zero and having the Bank of Japan (BoJ) purchase most of its government bonds. This was known as Yield Curve Control — a desperate attempt to keep borrowing costs low.

But now, global bond markets are revolting.

🔺 Japanese 30-year yields have exploded past 3.18%

🔺 The worst bond auction since 1987 just occurred

🔺 Demand for JGBs (Japanese Government Bonds) is collapsing

When demand for bonds falls, prices drop and yields rise. This signals fear. Big fear.

As Taylor Kenney noted in a widely shared thread:

“This isn’t just a Japan problem — Japan is the largest foreign holder of U.S. debt.” The Contagion Risk: U.S. Debt and Global Collapse

Here’s where this gets truly global.

In 2025 alone, $9.2 trillion of U.S. debt will mature — 70% of it between January and June. That debt must be refinanced, and as interest rates remain elevated, the cost of servicing this debt balloons, potentially straining the U.S. government’s finances.

If yields rise further, it only worsens the cycle:

1. Yields rise

2. Interest costs balloon

3. Governments print more to cover deficits

4. Currencies debase

5. Confidence dies

6. Collapse follows

Japan may just be the canary in the coal mine. Gold Is Surging. Bitcoin Is Outpacing It.

Smart money is already moving.

Bitcoin is closing in on its all-time high — and closely tracking the M2 Global Liquidity Index, historically lagging it by 60–90 days.

Gold has also had a stellar run in 2025, signalling institutional flight to hard assets.

People are scared. And they should be.

The global financial system is built on an unsustainable foundation of debt, inflation, and artificial suppression of interest rates. That system is now cracking in Japan — but it won’t stop there. ₿ Bitcoin: The Exit Plan

Bitcoin doesn’t rely on a central bank.

It doesn’t need to be refinanced.

It doesn’t have a yield curve to control.

It’s decentralised, scarce, and incorruptible.

While fiat currencies spiral under the weight of debt and monetary debasement, Bitcoin offers an escape — a monetary protocol with a fixed supply and no political manipulation.

It’s not just an investment.

It’s an exit strategy from the madness. Final Thoughts

• Japan is flashing red.

• The U.S. is next in line.

• The debt system is spiralling — fast.

Gold is insurance.

Bitcoin is the lifeboat.

@ c9badfea:610f861a

1. Install FUTO Keyboard (it's free and open source)
2. Launch the app, tap Switch Input Methods and select FUTO Keyboard
3. For voice input, choose FUTO Keyboard (needs mic permission) and grant permission While Using The App
4. Configure keyboard layouts under Languages & Models as needed

Adding Support for Non-English Languages

Voice Input

1. Download voice input models from the FUTO Keyboard Add-Ons page
   • For languages like Chinese, German, Spanish, Russian, French, Portuguese, Korean, and Japanese, download the Multilingual-74 model
   • For other languages, download Multilingual-244
2. Open FUTO Keyboard, go to Languages & Models, and import the downloaded model under Voice Input

Dictionaries

1. Get dictionary files from AOSP Dictionaries
2. Open FUTO Keyboard, navigate to Languages & Models, and import the dictionary under Dictionary

ℹ️ When typing, tap the microphone icon to use voice input

@ cf8c27f4:c95b9b5c

The Weimar Hyperinflation Nightmare

It’s 1921. Germany’s reeling from World War I, crushed by reparations and a wrecked economy. The government’s solution? Print money. Lots of it. The German mark starts tanking. By 1923, it’s a joke—4.2 trillion marks to one U.S. dollar. A loaf of bread costs wheelbarrows of cash. Savings? Wiped out. Middle-class families? Pauperized. Chaos.

Enter Hugo Stinnes, a coal and steel magnate with a sharp mind and sharper instincts. He sees the game: when a currency’s dying, debt is your friend. Why? Because the real value of your loans shrinks as inflation skyrockets. Borrow 1 million marks today, buy a factory, and by next year, that million’s worth a few pennies. Pay it back, keep the factory, repeat.

Stinnes’ Master Play

Stinnes goes all in. He borrows billions of marks, snapping up hard assets—steel mills, shipping lines, factories, real estate. Tangible stuff that holds value while paper marks turn to confetti. By 1923, his empire is a beast: over 1,500 companies, from coal mines to newspapers. Estimates say he controlled 15-20% of Germany’s industry, maybe more. A third of the economy? Probably an exaggeration, but the guy was a titan.

He wasn’t just lucky. Stinnes played 4D chess. He diversified his holdings to weather the storm, employed tens of thousands (keeping unrest at bay), and even argued his empire stabilized the economy. Critics, like British diplomat Lord D’Abernon, weren’t buying it—they called him a profiteer who thrived while others starved. Truth? Probably somewhere in the middle.

The Fall

Hyperinflation couldn’t last forever. In November 1923, Germany introduced the Rentenmark, a new currency backed by land and assets. The mark’s freefall stopped. Stinnes’ debt-fueled strategy hit a wall—stable currencies make loans harder to game. His health was failing too. He died in 1924, and his conglomerate started unraveling, with parts sold off or restructured. The Inflation King’s reign was over.

Why This Matters Today: Enter Bitcoin

Stinnes’ story isn’t just a history lesson—it’s a warning. Hyperinflation destroys trust in fiat money. When governments print cash to cover debts, savers get crushed, and the clever (or ruthless) like Stinnes exploit the chaos. Sound familiar? Look at today: global debt’s at $315 trillion, central banks are juggling interest rates, and inflation’s eating purchasing power. Argentina’s peso lost 50% of its value in 2024 alone. Venezuela’s bolívar? Toast.

This is where Bitcoin comes in. Born in 2009 after the financial crisis, Bitcoin is a hedge against fiat’s flaws. Unlike marks or dollars, it’s decentralised—no government can print more to pay its bills. Its supply is capped at 21 million coins, making it “digital gold.” When fiat currencies wobble, Bitcoin’s value often spikes—check its 2021 and 2024 bull runs during inflation fears.

Stinnes gamed a broken system by betting on hard assets. Today, Bitcoiners are doing the same, but instead of factories, they’re stacking sats. Why? Because in a world where fiat can be printed to oblivion, a deflationary asset like Bitcoin holds appeal. It’s not perfect—volatility’s a beast, and governments hate what they can’t control—but it’s a response to the same problem Stinnes faced: untrustworthy money.

The Lesson

Stinnes saw the Weimar collapse coming and turned it into wealth. Most didn’t. Today, you don’t need to be a tycoon to protect yourself, but you do need to understand the game. Fiat’s not collapsing tomorrow, but cracks are showing. Bitcoin’s one tool—maybe not the only one—to hedge against that risk. Study history, question the system, and don’t get caught holding the bag.

@ ef53426a:7e988851

Saturday 9AM It’s a chilly Saturday morning in Warsaw, and I don’t want to get out of bed. This is not because of the hangover; it’s because I feel like a failure.

The first day of Bitcoin FilmFest was a whirlwind of workshops, panels and running between stages. The pitch competition did not go my way. Another ‘pitching rabbit’ (an actual experienced film-maker) was selected to win the €3,000 of funding.

Rather than get up and search for coffee, I replay the scenes in my head. What could I have done differently? Will investors ever believe in me: I’m just a writer with no contacts in the industry. Do I have what it takes to produce a film?

Eventually, I haul myself out of bed and walk to Amondo, the festival’s morning HQ (and technically, the smallest cinema in Europe). Upon arrival, I find Bitcoin psychonaut Ioni Appelberg holding court in front of around a dozen enraptured disciples. Soon, the conversation spills out to the street to free up space for more workshops.

I attend a talk on film funding, then pay for coffee using bitcoin. I see familiar faces from the two previous nights. We compare notes on Friday night and check the day’s schedule. The morning clouds burn off, and things feel a little brighter.

The afternoon session begins just a few blocks away in the towering Palace of Culture and Science. My role in today's proceedings is to present my freedom fiction project, 21 Futures, on the community stage. Other presentations range from rap videos and advice on finding jobs in bitcoin to hosting ‘Bitcoin Walks’. This is how we are fixing the culture.

Saturday 8PM I feel a tap on my shoulder. ‘Excuse me, Mr. Philip. Your car is waiting. The Producers’ Dinner is starting soon’.

What? Me, a producer? I’ve been taking part in some panels and talks, but I assumed my benefits as a guest were limited to a comped ticket and generous goodie bag.

Soon, I am sharing a taxi with a Dubai-based journalist, a Colombian director, and the cypherpunk sponsor of the pitch competition I didn’t win.

The pierogies I dreamed of earlier that day somehow manifest (happy endings do exist), and we enjoy a raucous dinner including obligatory slivovitz.

Sunday 2AM The last few hours of blur include a bracing city-bike ride in a crew of nine attendees back to the Palace of Culture, chatting with a fellow bitcoin meetup organiser, and vaguely promising to attend a weekend rave with a crew of Polish artists and musicians on the outskirts of London.

I leave the party while it’s still in full swing. In five hours, I have to wake up to complete my Run for Hal in Marshal Edward Rydz-Śmigły Park.

---

Thursday 9PM The festival kicks off in Samo Centrum on Pizza Day. I arrive in a taxi straight from a cramped flight (fix the airlines!), having not eaten for around ten hours.

The infectious sounds of softly spoken Aussie bitrocker Roger9000 pound into the damp night. I’m three beers in, being presented by the organisers to attendees like a (very tall) show pony. I try to explain more about my books, my publishing connections, my short film.

When I search for the food I ordered an hour ago, I find it has been given away. The stern-faced Polish pizza maker shrugs. ‘You not here.’

I’m so hungry I could cry (six hours of Ryanair can do that to a man). And then, a heroic Czech pleb donates half a pizza to me. Side note: this same heroic pleb accidentally locked me out of my film-funds while trying to fix a wallet bug on Sunday night.

I step out into the rain. Roger9000 reminds us we should have laser eyes well past 100k. I take a bite of pizza and life tastes good.

---

The Films Side events, artists, late nights, and pitcher’s regret is all well and good, but what of the films?

My highlights included Golden Rabbit winner No More Inflation — a moving narrative with interviews from two dozen economists, visionaries, and inflation survivors.

Hotel Bitcoin, was a surprisingly funny comedy romp about a group of idiots who happen across a valuable laptop.

Revolución Bitcoin — an approachable and thorough documentary aimed to bring greater adoption in the Spanish-speaking world.

And, as a short-fiction guy, I enjoyed the short films The Man Who Wouldn’t Cry, a visit to New York’s only Somali restaurant in Finding Home.

---

Sunday 7PM The award ceremony has just finished. I head to Amondo for the final time to pay for mojitos in bitcoin and say goodbye to newly made friends. I feel like I’ve met almost everyone in attendance. Are you going to BTC Prague?!? we ask as we part ways.

Of course, the best thing about any festival is the people, and BFF25 had a cast of characters worthy of any art house flick:

• The bright-eyed and confident frontwoman of the metal band Scardust
• A nostr-native artist selling his intricate canvases to the highest zapper
• A dreadlocked DJ who wears a pair of flying goggles on his head at all times
• An affable British filmmaker explaining the virtues of the word ‘chucklesome’
• A Duracell-powered organiser who seems to know every song, person, film, book, and guest at the festival.

Warsaw itself feels like it has a role to play, too. Birdsong and green parks contrast the foreboding Communist-era architecture. The weather changes faster than my mood — heavy greys transform to bright sunshine. The roads around the venue close on Sunday for a political rally. And there we are in the middle, watching our bitcoin films.

Tuesday 10AM I’m at home now, squinting at my email inbox and piles of washing, wondering when the hell I’ll find time. The festival Telegram group is still buzzing with activity. Side events like martial arts tutorials, trips to a shooting range, boat tours. 5AM photos of street graffiti, lost and found items, and people asking ‘is anyone still around?’

This was not just a film festival. BFF is truly a celebration of culture — Art. Books. Comedy. Music. Video. Talk. Connection.

All this pure signal has lifted my spirits so much that despite me being a newbie filmmaker, armed only with a biro, a couple of powerpoints and a Geyser fund page, I know I will succeed in my mission. It turns out you can just film things.

You may have attended bitcoin conferences before — you know, the ones with ‘fireside chats’, VIP areas, and overpriced merch. Bitcoin FilmFest is a moment in time. We are fixing the culture, year after year, until art can flourish again.

As fellow author Aaron Koenig commented during a panel session, ‘In twenty years, we won’t be drawing laser eyes and singing about honey badgers. Our grandchildren won’t understand the change we went through.’

Would I do it all again? Of course!

Join me next June in Warsaw.
I’ll be the tall one presenting his short animation premiere.

---

Philip Charter is a full-time writer and part-time cat herder. As well as writing for bitcoin founders and companies, he runs the 21 Futures fiction project.

Find out more about theNoderoid Saga animation projecton Geyser.

@ 04c915da:3dfbecc9

Here’s a revised timeline of macro-level events from The Mandibles: A Family, 2029–2047 by Lionel Shriver, reimagined in a world where Bitcoin is adopted as a widely accepted form of money, altering the original narrative’s assumptions about currency collapse and economic control. In Shriver’s original story, the failure of Bitcoin is assumed amid the dominance of the bancor and the dollar’s collapse. Here, Bitcoin’s success reshapes the economic and societal trajectory, decentralizing power and challenging state-driven outcomes.

Part One: 2029–2032

• 2029 (Early Year)\ The United States faces economic strain as the dollar weakens against global shifts. However, Bitcoin, having gained traction emerges as a viable alternative. Unlike the original timeline, the bancor—a supranational currency backed by a coalition of nations—struggles to gain footing as Bitcoin’s decentralized adoption grows among individuals and businesses worldwide, undermining both the dollar and the bancor.

• 2029 (Mid-Year: The Great Renunciation)\ Treasury bonds lose value, and the government bans Bitcoin, labeling it a threat to sovereignty (mirroring the original bancor ban). However, a Bitcoin ban proves unenforceable—its decentralized nature thwarts confiscation efforts, unlike gold in the original story. Hyperinflation hits the dollar as the U.S. prints money, but Bitcoin’s fixed supply shields adopters from currency devaluation, creating a dual-economy split: dollar users suffer, while Bitcoin users thrive.

• 2029 (Late Year)\ Dollar-based inflation soars, emptying stores of goods priced in fiat currency. Meanwhile, Bitcoin transactions flourish in underground and online markets, stabilizing trade for those plugged into the bitcoin ecosystem. Traditional supply chains falter, but peer-to-peer Bitcoin networks enable local and international exchange, reducing scarcity for early adopters. The government’s gold confiscation fails to bolster the dollar, as Bitcoin’s rise renders gold less relevant.

• 2030–2031\ Crime spikes in dollar-dependent urban areas, but Bitcoin-friendly regions see less chaos, as digital wallets and smart contracts facilitate secure trade. The U.S. government doubles down on surveillance to crack down on bitcoin use. A cultural divide deepens: centralized authority weakens in Bitcoin-adopting communities, while dollar zones descend into lawlessness.

• 2032\ By this point, Bitcoin is de facto legal tender in parts of the U.S. and globally, especially in tech-savvy or libertarian-leaning regions. The federal government’s grip slips as tax collection in dollars plummets—Bitcoin’s traceability is low, and citizens evade fiat-based levies. Rural and urban Bitcoin hubs emerge, while the dollar economy remains fractured.

Time Jump: 2032–2047

• Over 15 years, Bitcoin solidifies as a global reserve currency, eroding centralized control. The U.S. government adapts, grudgingly integrating bitcoin into policy, though regional autonomy grows as Bitcoin empowers local economies.

Part Two: 2047

• 2047 (Early Year)\ The U.S. is a hybrid state: Bitcoin is legal tender alongside a diminished dollar. Taxes are lower, collected in BTC, reducing federal overreach. Bitcoin’s adoption has decentralized power nationwide. The bancor has faded, unable to compete with Bitcoin’s grassroots momentum.

• 2047 (Mid-Year)\ Travel and trade flow freely in Bitcoin zones, with no restrictive checkpoints. The dollar economy lingers in poorer areas, marked by decay, but Bitcoin’s dominance lifts overall prosperity, as its deflationary nature incentivizes saving and investment over consumption. Global supply chains rebound, powered by bitcoin enabled efficiency.

• 2047 (Late Year)\ The U.S. is a patchwork of semi-autonomous zones, united by Bitcoin’s universal acceptance rather than federal control. Resource scarcity persists due to past disruptions, but economic stability is higher than in Shriver’s original dystopia—Bitcoin’s success prevents the authoritarian slide, fostering a freer, if imperfect, society.

Key Differences

• Currency Dynamics: Bitcoin’s triumph prevents the bancor’s dominance and mitigates hyperinflation’s worst effects, offering a lifeline outside state control.
• Government Power: Centralized authority weakens as Bitcoin evades bans and taxation, shifting power to individuals and communities.
• Societal Outcome: Instead of a surveillance state, 2047 sees a decentralized, bitcoin driven world—less oppressive, though still stratified between Bitcoin haves and have-nots.

This reimagining assumes Bitcoin overcomes Shriver’s implied skepticism to become a robust, adopted currency by 2029, fundamentally altering the novel’s bleak trajectory.

@ cf8c27f4:c95b9b5c

Bitcoin’s Path to Global Dominance: Store of Value, Medium of Exchange, and the Road to a Bitcoin Standard

Bitcoin has ignited a financial revolution, captivating everyone from tech enthusiasts to institutional investors. Yet, amidst its meteoric rise, a tantalising question emerges: Could Bitcoin become the world’s reserve currency, relegating fiat currencies to the history books? This vision—a global Bitcoin standard—stirs intense debate within the community. Some champion Bitcoin as a Store of Value (SOV), a digital equivalent to gold, while others insist its future lies in becoming a Medium of Exchange (MOE), used for everyday transactions. With conflicting perspectives and community members at varying points in their Bitcoin journey, it’s time to unpack these ideas and chart a unified course.

This article delves into the interplay between Bitcoin’s SOV and MOE roles, examines the hurdles to widespread adoption, and proposes a roadmap for Bitcoin to claim global reserve status. My goal is to ignite a vibrant discussion, bridge divides, and encourage the Bitcoin community to rally around a shared vision for the future.

The Building Blocks: What Are SOV and MOE?

To kick things off, let’s define the two pillars of this debate:

• Store of Value (SOV): An asset that holds or grows its worth over time, offering a dependable way to preserve wealth. Think gold, a classic example cherished for millennia.

• Medium of Exchange (MOE): A tool for transactions, enabling the seamless exchange of goods and services. Today, fiat currencies like the pound or dollar reign supreme in this domain.

Bitcoin’s allure stems from its unique traits: a capped supply of 21 million coins, a decentralised network, and immunity to censorship. These qualities position it as a contender to replace both gold and fiat money—but the journey is complex, and the community’s views are far from aligned.

Where We Stand: Bitcoin as Digital Gold

Bitcoin’s ascent has been propelled by its prowess as a Store of Value. Early adopters, savvy investors, and even big institutions have embraced it as a shield against inflation, economic turmoil, and the erosion of fiat value. Its scarcity—hardwired into its code—has cemented the “digital gold” narrative, drawing in those seeking a safe haven in uncertain times.

But here’s the rub: while Bitcoin shines as an SOV, it’s rarely used as an MOE. Its price swings, technical limitations, and patchy acceptance by merchants make it a tough sell for buying a pint or a loaf of bread. Many in the community—think of figures like Michael Saylor—preach the gospel of “hodling,” urging followers to stash Bitcoin away and watch its value soar. This strategy has paid off handsomely for some, but it begs a bigger question: Can Bitcoin rule the world if it remains a speculative treasure rather than a working currency?

The Adoption Puzzle: Bridging SOV and MOE

For Bitcoin to leap from a niche asset to the global reserve currency, it must become a widely accepted Medium of Exchange. This evolution matters for several reasons:

• Real-World Use Fuels Demand: When Bitcoin powers transactions, its value ties to tangible activity, not just market hype.

• Network Strength: More users mean a tougher, more valuable network—a classic network effect.

• Price Stability: Broader adoption could smooth out Bitcoin’s wild price rides, making it more practical for daily use.

Yet, hurdles abound. Bitcoin’s volatility is a dealbreaker for many—who’d spend it on a takeaway if it might double in value overnight? Then there’s the issue of “whales” or “max hodlers,” those holding vast swathes of Bitcoin. If too much of the supply sits idle, it starves the liquidity needed for an MOE to thrive.

The Hodler Debate: To Spend or Not to Spend?

A spirited clash within the community revolves around these large holders. Should they—like Saylor or early adopters—dip into their stacks to kickstart adoption? Hodling bolsters Bitcoin’s scarcity and SOV credentials, no doubt. But if the bulk of Bitcoin stays locked up, it could stall the growth of a bustling, transactional ecosystem.

Let’s be fair: hodling has been a winning play for many, turning small investments into fortunes. It’s a stretch to demand these pioneers shoulder the adoption burden alone. As Bitcoin weaves into the fabric of commerce—think businesses accepting it or workers earning it—transactional demand will rise organically. Over time, this could nudge even the staunchest hodlers to spend a bit, striking a balance between saving and circulating.

Growth and Stability: A Natural Progression

Bitcoin’s Compound Annual Growth Rate (CAGR) offers another angle. As its market cap balloons, its explosive growth is likely to taper off—a standard pattern for any asset. This slowdown could usher in greater stability, a boon for its MOE ambitions. Less volatility means less risk when spending Bitcoin, paving the way for it to move beyond investment portfolios and into wallets for everyday use.

This shift could redefine Bitcoin’s story, transforming it from a rollercoaster ride to a dependable currency. Voices like Jeff Booth and Jack Dorsey argue that MOE success is the key to sustaining Bitcoin’s SOV status. In short, while SOV lit the fuse, MOE could keep the fire burning.

The Blueprint: Steps to a Bitcoin Standard

So, how does Bitcoin ascend to world reserve status and birth a Bitcoin standard? Here’s a five-step vision:

1. SOV Momentum: Bitcoin’s allure as an inflation hedge and wealth preserver keeps drawing in holders, boosting its market cap and global clout.

2. MOE Infrastructure: Innovations like the Lightning Network must deliver fast, cheap transactions, making Bitcoin a practical choice for daily spending.

3. Value Stability: As adoption spreads and the market matures, Bitcoin’s price swings dampen, earning trust from users and merchants alike.

4. MOE Takeoff: With better tools and steadier value, Bitcoin becomes a go-to for transactions, amplifying its worth through a powerful network effect.

5. Global Crown: Governments and central banks start holding Bitcoin in reserves, using it for trade and settlements, cementing its place as the world’s reserve currency.

This isn’t a cakewalk. Scalability bottlenecks, regulatory pushback, and rival cryptocurrencies loom large. But if Bitcoin can clear these obstacles, it could become the backbone of global finance.

Harmony Over Division: SOV and MOE Together

Here’s the crux: SOV and MOE aren’t at odds—they’re partners in Bitcoin’s rise. Holding Bitcoin safeguards its scarcity and value; spending it spreads its reach and usefulness. Both are vital for the long haul.

At this pivotal moment, the Bitcoin community must rally around a dual-purpose ethos. We can:

• Educate: Help newcomers grasp Bitcoin’s twin roles as SOV and MOE.

• Innovate: Back tech that makes Bitcoin spending as easy as swiping a card.

• Talk: Host open forums to wrestle with differences and find unity.

The Final Word: Our Collective Challenge

Bitcoin’s shot at becoming the world’s reserve currency—and forging a Bitcoin standard—is as exhilarating as it is daunting. Its Store of Value roots have set the stage, but its Medium of Exchange potential will decide if it can topple fiat and redefine money itself.

The path is long, but the prize is transformative. By embracing both SOV and MOE, we can propel Bitcoin to new heights. Let’s grab this chance, dive into the debate, and build a future where Bitcoin leads the charge.

Your Turn: What’s the best way forward for Bitcoin? Should we lean harder into SOV, push MOE, or blend the two? Drop your thoughts below an

@ 9223d2fa:b57e3de7

14,040 steps

@ 1d7ff02a:d042b5be

For those who still don't truly understand Bitcoin, it means you still don't understand what money is, who creates it, and why humans need money.

It's a scam that the education system doesn't teach this important subject, while we spend almost our entire lives trying to earn money. Therefore, I recommend following the money and studying Bitcoin seriously.

Why Bitcoin Matters

Saving is the greatest discovery in human history

Before humans learned to save, we were just animals living day to day. Saving is what makes humans different from other animals — the ability to think about the future and store for later.

Saving created civilization itself

Without saving, there would be no cities, no science, no art. Everything we call "progress" comes from the ability to save.

Money is the greatest creation in human history

It is the tool that has allowed human civilization to advance to this day. Money is the best tool humans use for saving.

Bitcoin is the best money ever created

It is the most perfect money humans have ever created. No one can control, manipulate, destroy it, and it is truly limited like time in life.

Bitcoin is like a black hole

That will absorb all value from the damaged financial system. It will draw stability and value to itself. Everything of value will flow into Bitcoin eventually.

Bitcoin is like Buddhism discovering truth

It helps understand the root problems of the current financial system and the emergence of many problems in society, just like Buddha who understood all suffering and the causes of suffering.

Bitcoin is freedom

Money is power, money controls human behavior. When we have money that preserves value and cannot be controlled, we will have intellectual freedom, freedom of expression, and the power to choose.

The debt that humanity has created today would take another thousand years to pay off completely

There is no way out and it's heading toward serious collapse. Bitcoin is the light that will help prevent humanity from entering another dark age.

Bitcoin cannot steal your time

It cannot be created from nothing. Every Bitcoin requires real energy and time to create.

Bitcoin is insurance that protects against mismanagement

It helps protect against currency debasement, economic depression, and failed policies. Bitcoin will protect your value.

Bitcoin is going to absorb the world's value

Eventually, Bitcoin will become the store of value for the entire world. It will absorb wealth from all assets, all prices, and all investments.

Exit The Matrix

We live in a financial Matrix. Every day we wake up and go to work, thinking we're building a future for ourselves. But in reality, we're just giving energy to a system that extracts value from us every second. Bitcoin is the red pill — it will open your eyes to see the truth of the financial world. Central banks are the architects of this Matrix — they create money from nothing, and we have to work hard to get it.

The education system has deceived us greatly. They teach us to work for money, but never teach us what money is. We spend 12-16 years in school, then spend our entire lives earning money, but never know what it is, who creates it, and why it has value. This is the biggest scam in human history.

We are taught to be slaves of the system, but not taught to understand the system.

The Bitcoin standard will end war

When you can't print money for war anymore, war becomes too expensive.

We are entering the Bitcoin Renaissance era

An era of financial and intellectual revival. Bitcoin is creating a new class of humans. People who understand and hold Bitcoin will become a new class with true freedom.

The Path to Financial Truth

Follow the money trail and you will see the truth: - Who controls money printing? - Why do prices keep getting higher? - Why are the poor getting poorer and the rich getting richer?

All the answers lie in understanding money and Bitcoin.

Studying Bitcoin is not just about investment — it's about understanding the future of currency and human society.

Don't just work for money. Understand money. Study Bitcoin.

If you don't understand money, you will be a slave to the system forever. If you understand Bitcoin, you will gain freedom.

@ 21c71bfa:e28fa0f6

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@ 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.

@ 21c71bfa:e28fa0f6

Book *Tirupati to Srikalahasti cab* online at best price. CabBazar provides car rental services for all cab types AC, Non AC, Hatchback, SUV, Sedan, Innova and Tempo Traveller. Both One way taxi and round trip cab available at lowest price. Price starts Rs. 9/Km.

@ 1c19eb1a:e22fb0bc

If you haven't noticed already, #Nostr is a little different from what most people are used to. One of the ways this is felt most acutely is with media hosting. Users are accustomed to uploading their images and videos directly through the app they are posting from. Many Nostr apps provide that same experience nowadays, but it wasn't always the case.

Just a couple years ago, users had to find somewhere to host their media separately, and then copy and paste the URL into their note whenever they wanted to share their cat pictures. One of the first, if not the first, media hosting services specifically intended for Nostr was nostr:npub1nxy4qpqnld6kmpphjykvx2lqwvxmuxluddwjamm4nc29ds3elyzsm5avr7, which will be the service we are reviewing today.

Like our previous review of Amber, Nostr.Build is a service for users to pair with other Nostr apps. You won't generally use nostr:npub1nxy4qpqnld6kmpphjykvx2lqwvxmuxluddwjamm4nc29ds3elyzsm5avr7 by itself. Rather, you'll use it to host that incredible shot you want to post to #Olas, or to host screenshots for your long-form tutorial about setting up Nostr Wallet Connect that you'll be posting from #Habla.news, or for hosting a hilarious video of your cat falling asleep to nostr:npub1cj8znuztfqkvq89pl8hceph0svvvqk0qay6nydgk9uyq7fhpfsgsqwrz4u's voice and taking a tumble off of his favorite perch that you want to share on #Damus. However, there are some features within Nostr.Build that you may want to check out quite apart from using it with any other Nostr app.

Overall Impression

Score: 4.8 / 5

I have been impressed by Nostr.Build for some time now, but they have pulled out all the stops in their latest update, increasing their maximum file size for free accounts to 100MB, integrating the #Blossom protocol, adding the ability to share directly to Nostr from within your dashboard, and more integrations with other Nostr apps than ever before. Nostr.Build is simply a pleasure to use, whether through their web interface, or through another Nostr app that integrates with them.

With the ability to easily organize your media, view statistics, browse the media gallery of free uploads, metadata removal for increased privacy, and AI image generation, Nostr.Build is not simply a media hosting service, it is a full-fledged media management platform. Its robust features keep it well ahead of other Nostr-focused media hosting options available, and a particularly strong option for those using Blossom and wanting redundancy and reliable uptime for their media.

As much as I enjoy using the web interface, though, where Nostr.Build really shines is their integrations with other Nostr apps. These integrations allow users to have the same experience they are accustomed to from centralized social platforms of uploading their media from within the same app they are using to share it. No copy/pasting a URL from one app to another. In fact, many users may not realize they have been using Nostr.Build in their client of choice, simply because it is the default option for media hosting for many Nostr apps.

This has the added benefit to client developers that they can provide this experience to their users without having to run media hosting infrastructure on top of trying to build their app. The separation of relays, clients, and media hosting between different entities, while keeping a similar experience to centralized platforms where a single company controls all three, is critical to Nostr adoption.

Features

Nostr.Build has a plethora of features beyond simply hosting your media. Let's take a look!

AI Image Generation

Do you need a quick title image for a long-form article? How about inspiration for a logo or art piece? Nostr.Build's AI Studio has you covered.

They have provided a few different models based on the plan you purchase, beginning with the Professional plan, which includes SDXL-Lightning and Stable Diffusion 1. Upgrading to the Creator plan will give you access to all Pro Stable Diffusion models and unlimited use of the Flux.1 model, which is the same core model used for Grok2 images.

I personally have a Professional account, so I haven't had a chance to try out Flux.1, but I have used Stable Diffusion extensively for creating character art for #NostrHeroes characters, such as these:

Nothing too spectacular when compared with some of the newer models out there, and there is no image-to-image support (yet), but more than adequate for casual image generation needs. Moreover, it is far more than what one would expect from a simple media-hosting service.

Admittedly, I am also no expert at coaxing AI models to produce anything remarkable so your results may vary. Either way, image generation is a welcome tool to have available without needing to go to an outside service unless you require something very specific.

Upload Limits

The maximum file size limits on Nostr.Build have been getting progressively larger, even for their free service. As I recall, it was a mere 21MB limit per file just a few months ago, which is fine for image files, but is quickly exceeded with videos. Then they increased their limits to 50MB per file, and as of recent updates it has been increased once more to a whopping 100MB per file... for free! This is more than adequate for most uses.

However, free users' images, GIFs, and videos are automatically viewable via Nostr.Build's free media gallery. This is something to particularly bear in mind when uploading images you intend to share via direct message. Though your DMs are encrypted, the images uploaded to Nostr.Build are not, and if you don't have a paid account, they will be viewable to the all paid users in the free media gallery. If you want to upload images that will not be viewable unless you actively share them, you must have a paid account.

Paid accounts have no file size limit, but they do have a total storage limit. I could not find anything about total storage limits for free accounts, but Professional tier will give you 25GB, Creator 50GB, and Advanced 250GB. Uploads to paid accounts are not visible in the free media gallery, so only those you give the link to will be able to access your content.

Media Types

Many file types are supported by Nostr.Built, even for free users, including:

• Image: .jpg, .png, .gif
• Video: .mov, mp4
• Audio: mp3, .wav

Upgrading to the Professional plan will add .pdf and .svg to the list of permitted file types, and upgrading to Creator or above will add .zip files, as well.

I believe other common file types are also supported, but these are the only ones specifically mentioned on the site.

Free Media Gallery

The free media gallery is an interesting little feature that Nostr.Build has available to paid accounts. Free users can get a preview, such as the one below, but only paid users can browse through the millions of uploads made by free users.

Apart from being amusing to browse through the things people have been uploading, I am unsure of how useful this particular feature is. No indication is given as to who uploaded the media, and it is limited compared to media feeds in other Nostr apps in two important ways. First, it only shows media uploaded to Nostr.Build, while other media-focused Nostr apps, such as Slidestr, Lumina, or even Primal will show media posted by all Nostr users. Second, Nostr.Build's gallery doesn't show all uploads to Nostr.Build, but only uploads from those without a paid account, further limiting the scope of whose uploads are seen.

Paid users have the advantage of being able to upload media that is not viewable to anyone unless they intentionally share the link somewhere. Free users, on the other hand, must be aware that their uploads are viewable by any paid users, whether they shared the link anywhere or not.

One incident I had while testing out another app required me to reach out to Nostr.Build support to request deletion of an image. It had some of my personal information in it, and had been uploaded to Nostr.Build and sent to me via DM. The sender assumed that since it was being sent via DM, no one else would be able to see the image, but because he was not a paid user of Nostr.Build, the image was included in the Free Media Gallery for any paid user to see. Not ideal, but the folks at Nostr.Build were quick to get it deleted for me.

In short, I have mixed feelings about this particular feature.

Blossom

Blossom is a media storage and retrieval protocol built for Nostr, but usable with any application that needs to access media via the web, and Nostr.Build has recently added support for Blossom uploads via their Blossom server: blossom.band

I will likely be adding a Nostrversity article going over Blossom in detail in the near future, but here's the basics of what it makes possible:

First, easy integration for media uploading from your favorite Nostr apps. Amethyst, Coracle, Primal and others have added Blossom upload support, so you just have to hop into your settings and add Nostr.Build's Blossom server address to start using it as your media host. No need to go to a separate app to upload your media and copy/paste the URL into your Nostr note!

Second, your media in Blossom is content addressable. This means it is named based on a hash of its actual data. Because of this, you can verify that the media has not been altered or replaced by your media host. If the hash doesn't match the data, it won't be loaded by the Nostr client, so you never have to worry about the image in your note being replaced by a different image by your media host.

Finally, because your media is addressable by its content, you can save the same media to multiple hosts, and if one of them goes down, Nostr apps can fetch your media from other hosts, just like they can do with your notes by fetching them from different relays if one relay you write to is down. This makes your images and videos much harder to censor, since you would need to be banned by multiple Blossom servers for your media to no longer be accessible.

If you would like to upload media to more than one Blossom server at the same time, your options are currently to use Primal and ensure that your settings have "Enable media mirrors" toggled on, or to use Bouquet. Hopefully we will see this option added to more Nostr apps in the near future.

Metadata Stripping

For files uploaded via Nostr.Build's dashboard, location metadata is removed upon upload. This is to protect user privacy, since this data could be used to reveal your home address if it is left attached to images posted publicly on Nostr.

When uploading via Blossom, media containing location metadata will be rejected. The user will be required to remove the metadata before they can upload the media.

No KYC and No Ads Policy

The only form of identification needed to use Nostr.Build is your Nostr identity. Every upload is tied to your npub, but no name, date of birth, email, or other identifying information is required. This is made possible because Nostr.Build only accepts Bitcoin as payment for their accounts, and no KYC is required to make Bitcoin transactions via Lightning.

Additionally, Nostr.Build is philosophically opposed to targeted advertising, so they have a policy that they will never use ads on their hosting service.

Client Integrations

Even before Blossom, Nostr.Build had many Nostr clients that used it as the default media hosting service, allowing users to upload directly within the app. This has only expanded now that Nostr.Build has added Blossom.

A very non-exhaustive list of clients that integrate with Nostr.Build is listed on their site, and includes Damus, Amethyst, Nostrudel, Snort, Iris, Coracle, Flycat, and Yakihonne. Additional apps that support Nostr.Build via Blossom include Primal and Flotilla. Some of these integrations support both Blossom and NIP-96 options for uploading media, such as Amethyst, while others only support one or the other.

I would not be surprised to see more and more Nostr apps move to integrating Blossom and phasing out NIP-96 support. Either way, though, Nostr.Build currently supports both, and is therefore an excellent hosting option if you want to use it with a wide range of Nostr apps.

Media Statistics

For those with a paid account, Nostr.Build provides information about how often each of your uploads has been requested and viewed within a given time period.

This can be valuable information for content creators, so they can determine what content is resonating with their audience, and what times of day their posts get the most views.

This information can currently be viewed for a maximum period of three months prior to the current date, and as short a period as just the past hour.

Can My Grandma Use It?

Score: 4.7 / 5

Nostr.Build is incredibly easy to use if you have a paid account, or if you are a free user uploading to Nostr.Build through a client that integrates with them by default. Previous frictions encountered by free users trying to upload large files should now be few and far between, thanks to the generous 100MB size limit.

Where things may be a bit more involved is when users are trying to set up media hosting on Nostr apps that don't use Nostr.Build by default. Exactly where in the settings the user must go to set this up, and whether to use the Blossom or NIP-96 address may not be immediately apparent, and requires an understanding of the difference that the user may not possess. This is not the fault of Nostr.Built, though, and I have not taken it into consideration in the scoring. Each individual Nostr app's settings should be as easy to understand as possible.

Another point of friction may come from free users who want to upload directly through the Nostr.Build site, instead of via another Nostr app. This used to be possible without logging in, but in an effort to ensure the service was used for Nostr, and not for general media hosting, Nostr.Build added the requirement to log in.

Thankfully, there are plenty of login options, including npub and password, browser extension (NIP-07), and even via a one-time-code sent to you via Nostr DM. However, if you don't have a paid account already, logging in will prompt you to upgrade. It seems that uploading directly via the website has been removed for free users entirely. You can only upload via another Nostr app if you don't have a paid account. This may lead to confusion for users who don't want to pay for an account, since it isn't made apparent anywhere that uploading through the website isn't an option for them.

Additionally, I would like to see the addresses for the Blossom server and for NIP-96 uploads (unless they are being phased out) added to the main page somewhere. Even selecting the "Blossom" page from the site navigation doesn't make clear what needs to be done to utilize the service. Something as simple as, "To use Nostr.Build with your favorite Blossom compatible Nostr apps, just add https://blossom.band as your media host in the app settings," would be enough to point users in the right direction.

For those who do have paid accounts, the dashboard is easy to navigate and organize your media.

By default, all uploads are added to the Main Folder. Users can leave them there, or they can easily create new folders and drag and drop media to organize it.

Every image has a copy/paste clipboard icon for ready access to copy the media URL for inclusion into a Nostr note.

Additionally, Nostr.Build allows users to share their uploaded media to Nostr directly from the dashboard. Bear in mind, though, this is published to a set of popular relays, without taking into account the user's preferred write relays.

The section just below the user's profile information gives an at-a-glance view of important information, such as how much of the user's allotted storage has been used, how many AI Studio credits are available, how many days are left before their paid account must be renewed, and how many files from three major categories — GIFs, images, and videos — have been uploaded.

Uploading directly to the dashboard is also incredibly easy. You can simply drag and drop files into the upload pane, or browse for them. If you have a URL for the media you want to upload, you can even paste it to import from another website or Blossom server.

Anything I could think of that I might want to do in the interface was intuitive to find, well labeled, or had common and easily identified icons.

How do UI look?

Score: 4.7 / 5

I would describe Nostr.Build's UI as clean and utilitarian, which is what one would expect from a media hosting service. Nothing too flashy. Just what you need and nothing you don't.

We certainly like our purple color-schemes on Nostr, and Nostr.Build leans into that with white text on shades of purple backgrounds, along with occasional color-popping accents. If a Nostr client had made the same color choices, I might be a bit more critical, but it works in an app that users won't be spending a ton of time in, except while managing their media, or using the AI Studio to generate some images.

UI elements such as buttons, active folder indicators, and icons all maintain an attractive, and simple design, with rounded corners wherever appropriate. Nothing looks too busy or overbearing, and the spacing between image previews in the folder view is just right.

Font remains consistent throughout the interface, with no jarring changes, and bold text, in white or another contrasting color, is used appropriately to draw attention, while subdued text is rendered in a light purple to blend more with the background, while remaining readable.

As such, the UI is attractive, without being particularly breathtaking. Nothing to complain about, but also nothing to write home about.

Log In Options

Score: 4.8 / 5

As mentioned previously, Nostr.Build provides three ways a user can log in.

The first should be very familiar for any Nostr user who frequents web clients, and that is by use of a browser extension (NIP-07), such as Alby, Nos2x, or Gooti. Note, this will also work if you are on Android and using KeyChat's browser, which has a NIP-07 signer built in.

Next is the legacy login method for Nostr.Build that they have used since the service first launched, which is via npub and password. This should serve to remind you that even though Nostr.Build supports Nostr login, and can post your images to Nostr for you, it's really just a centralized media hosting service. Just like you wouldn't use only one Nostr relay, you should not use just one media host. Mirror your media to other Blossom servers.

Most intriguing, and one I had not seen used before, is the option to use your npub and have a one-time-code sent to you via Nostr DM. I tested this method out and it worked flawlessly. It is unfortunately using the old NIP-04 DM spec, though, so any clients that have deprecated these DMs will not work for receiving the code. We're in a strange place with Nostr DMs currently, with some clients deprecating NIP-04 DMs in favor of NIP-17, others that still only support NIP-04, and a few that support both. If you don't see the DM in your client of choice, hop over to Primal and check your DMs there in the "other" tab.

Since Nostr.Build is supporting Nostr login, I would like to see them add remote signer (NIP-46) login alongside browser extension login to round out the options expected from a Nostr web app.

Feature Set

Score: 4.8 / 5

The features provided by Nostr.Build all work as expected and provide a lot of value to the user. With only one exception, all of the features make sense for a media hosting and management service to provide, and they are adding more features all the time.

Users not only get a reliable hosting service, with excellent uptime for their media, but they get integrations with most Nostr clients I can think of, Blossom protocol support, media organization and statistics, posting media to Nostr from within the dashboard, metadata stripping for enhanced privacy, a wide range of supported file types, and an AI image generation studio! What's more, there are additional features already on the roadmap, including traditional and AI image editing, additional plan options, expandable storage, and video transcoding for optimized playback. Nostr.Build is just getting started and they already offer more than most media hosting services out there, intended for Nostr or otherwise.

The one feature I am still not sold on is the "Free Media Gallery." The name is misleading. The gallery itself is not free. You must have a paid account to access more than a preview of it. Rather, it displays media uploaded by free users, regardless of whether they uploaded that media to send via DM, or uploaded it but decided not to share it out, or uploaded it to post it only within a private group on Flotilla, or uploaded it and only sent the note with the image link to a private relay.

Moreover, if I want to see media that has been shared on Nostr, there are plenty of ways I can do so that I can be confident only include media users intended to be publicly viewable. This feature from Nostr.Build, if it is kept at all, should have some way of ensuring the gallery only includes images that were shared on public relays.

Pricing

Score: 5 / 5

The pricing structure for Nostr.Build is exceptionally reasonable when compared with other services.

The Professional plan, which is their lowest paid tier, is just 69,000 sats a year. At current price, that translates to around $70 for the year, and Nostr.Build has been known to lower their pricing as Bitcoin goes up. Users can also get a 10% or 20% discount if they buy 2 or 3 years at a time, compensating for the fact that Bitcoin tends to go up year over year.

For that cost, users get 25GB of storage, unlimited file size for uploads within that storage cap, and access to all of Nostr.Build's features mentioned in this review, with the exception of their highest end AI models and storage of certain file types.

If I were to set up my own VPS to host a Blossom server with comparable storage, I would be paying around $14 a month before the cost of the domain, and it would be anything but plug and play. Even then, all I would have is storage. I would be missing out on all of the other features Nostr.Build has out of the box for less than half the price.

The Creator plan is close to double the cost at 120,000 sats, or about $120, a year. However, you aren't just getting double the storage space at 50GB; you are also getting double the AI credits, access to the higher tier AI models, S3 backup for all of your media, and your own Creator page you can share out with your media available for others to browse in one location.

The Advanced plan doesn't add a lot of extra features for more than double the price of the Creator plan, but it MASSIVELY increases your storage limit by 5x to a total of 250GB. Comparable storage space on a VPS to run your own Blossom server would be about $100 a month and Nostr.Build is offering it for about $250 (250,000 sats) for a whole year! If you really need to host that much media, it's hard to beat this price. The plan also comes with a Nostr.Build NIP-05 address, if you need one.

Now, the argument can be made, "But it's priced in sats, and that means in four years I will have spent many times that dollar amount on their service, possibly making it more expensive than other services priced in fiat." While that is true, it also doesn't take opportunity cost into account. Every dollar you spend on something other than Bitcoin is a missed opportunity to have bought Bitcoin with it. There's not really any difference between spending $70 in fiat to buy a hosting plan vs spending 69,000 sats, because you could have used that same $70 to buy Bitcoin instead, so you are losing out on that increase in purchasing power either way.

Not to mention, you can just buy the sats with your fiat and send it to Nostr.Build, so you would effectively be buying your plan with fiat, and they would be receiving sats.

I think Satellite.earth is still technically less expensive at just $0.05 per GB per month, which comes to $15 a year for the same 25GB of Nostr.Build's professional plan. However, all you get is media hosting. You miss out on all of the other features provided by Nostr.Build. And if you are uploading files of 100MB or less... Well, free with Nostr.Build is still cheaper than $0.5 per GB.

Wrap Up

All of the above comes together to make Nostr.Build a versatile and full-featured media hosting and management service at an affordable price point for their paid accounts, but with no need to pay at all if you just want a place to upload photos, GIFs, memes, and even some videos, so long as the file size stays under 100MB. Whether you want to use Nostr.Build as your primary media host, or as just one redundancy in your Blossom set up, they have you covered and I encourage you to check them out!

For the next review, I would like to go with another client, this time for the web, and the two options I am debating between are Coracle.social and Jumble.social. Let me know in the comments which you would like to see!

@ 52b4a076:e7fad8bd

I have been recently building NFDB, a new relay DB. This post is meant as a short overview.

Regular relays have challenges

Current relay software have significant challenges, which I have experienced when hosting Nostr.land: - Scalability is only supported by adding full replicas, which does not scale to large relays. - Most relays use slow databases and are not optimized for large scale usage. - Search is near-impossible to implement on standard relays. - Privacy features such as NIP-42 are lacking. - Regular DB maintenance tasks on normal relays require extended downtime. - Fault-tolerance is implemented, if any, using a load balancer, which is limited. - Personalization and advanced filtering is not possible. - Local caching is not supported.

NFDB: A scalable database for large relays

NFDB is a new database meant for medium-large scale relays, built on FoundationDB that provides: - Near-unlimited scalability - Extended fault tolerance - Instant loading - Better search - Better personalization - and more.

Search

NFDB has extended search capabilities including: - Semantic search: Search for meaning, not words. - Interest-based search: Highlight content you care about. - Multi-faceted queries: Easily filter by topic, author group, keywords, and more at the same time. - Wide support for event kinds, including users, articles, etc.

Personalization

NFDB allows significant personalization: - Customized algorithms: Be your own algorithm. - Spam filtering: Filter content to your WoT, and use advanced spam filters. - Topic mutes: Mute topics, not keywords. - Media filtering: With Nostr.build, you will be able to filter NSFW and other content - Low data mode: Block notes that use high amounts of cellular data. - and more

Other

NFDB has support for many other features such as: - NIP-42: Protect your privacy with private drafts and DMs - Microrelays: Easily deploy your own personal microrelay - Containers: Dedicated, fast storage for discoverability events such as relay lists

Calcite: A local microrelay database

Calcite is a lightweight, local version of NFDB that is meant for microrelays and caching, meant for thousands of personal microrelays.

Calcite HA is an additional layer that allows live migration and relay failover in under 30 seconds, providing higher availability compared to current relays with greater simplicity. Calcite HA is enabled in all Calcite deployments.

For zero-downtime, NFDB is recommended.

Noswhere SmartCache

Relays are fixed in one location, but users can be anywhere.

Noswhere SmartCache is a CDN for relays that dynamically caches data on edge servers closest to you, allowing: - Multiple regions around the world - Improved throughput and performance - Faster loading times

routerd

routerd is a custom load-balancer optimized for Nostr relays, integrated with SmartCache.

routerd is specifically integrated with NFDB and Calcite HA to provide fast failover and high performance.

Ending notes

NFDB is planned to be deployed to Nostr.land in the coming weeks.

A lot more is to come. 👀️️️️️️

@ fd208ee8:0fd927c1

I just read this, and found it enlightening.

Jung... notes that intelligence can be seen as problem solving at an everyday level..., whereas creativity may represent problem solving for less common issues

Other studies have used metaphor creation as a creativity measure instead of divergent thinking and a spectrum of CHC components instead of just g and have found much higher relationships between creativity and intelligence than past studies

https://www.mdpi.com/2079-3200/3/3/59

I'm unusually intelligent (Who isn't?), but I'm much more creative, than intelligent, and I think that confuses people. The ability to apply intelligence, to solve completely novel problems, on the fly, is something IQ tests don't even claim to measure. They just claim a correlation.

Creativity requires taking wild, mental leaps out into nothingness; simply trusting that your brain will land you safely. And this is why I've been at the forefront of massive innovation, over and over, but never got rich off of it.

I'm a starving autist.

Zaps are the first time I've ever made money directly, for solving novel problems. Companies don't do this because there is a span of time between providing a solution and the solution being implemented, and the person building the implementation (or their boss) receives all the credit for the existence of the solution. At best, you can hope to get pawned off with a small bonus.

Nobody can remember who came up with the solution, originally, and that person might not even be there, anymore, and probably never filed a patent, and may have no idea that their idea has even been built. They just run across it, later, in a tech magazine or museum, and say, "Well, will you look at that! Someone actually went and built it! Isn't that nice!"

Universities at least had the idea of cementing novel solutions in academic papers, but that: 1) only works if you're an academic, and at a university, 2) is an incredibly slow process, not appropriate for a truly innovative field, 3) leads to manifestations of perverse incentives and biased research frameworks, coming from 'publish or perish' policies.

But I think long-form notes and zaps solve for this problem. #Alexandria, especially, is being built to cater to this long-suffering class of chronic underachievers. It leaves a written, public, time-stamped record of Clever Ideas We Have Had.

Because they are clever, the ideas. And we have had them.

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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.

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GM, Nostriches!

The Nostr Review is a biweekly newsletter focused on Nostr statistics, protocol updates, exciting programs, the long-form content ecosystem, and key events happening in the Nostr-verse. If you’re interested, join me in covering updates from the Nostr ecosystem!

Quick review:

In the past two weeks, Nostr statistics indicate over 216,000 daily trusted pubkey events. The number of new users has seen a notable decrease, Profiles with contact lists and pubkeys writing events were both representing a 70% decline. More than 7 million events have been published, reflecting a 24% decrease. Total Zap activity stands at approximately 16 million, marking a 20% increase.

Additionally, 14 pull requests were submitted to the Nostr protocol, with 6 merged. A total of 45 Nostr projects were tracked, with 7 releasing product updates, and over 378 long-form articles were published, 24% focusing on Bitcoin and Nostr. During this period, 9 notable events took place, and 3 significant events are upcoming.

Nostr Statistics

Based on user activity, the total daily trusted pubkeys writing events is about 216,000, representing a slight 2 % decrease compared to the previous period. Daily activity peaked at 17483 events, with a low of approximately 15499.

The number of new users has decreased significantly.Profiles with contact lists and pubkeys writing events were 26,132 and 59,403 respectively, both representing a decline of approximately 70% compared to the previous period.

The total number of note events published is around 7 million, reflecting a 24% decrease.Posts remain the most dominant category by volume, totaling approximately 1.7 million, representing a 4% decrease compared to the previous period.Reposts, however, saw a significant increase, rising by 33% compared to the same period.

For zap activity, the total zap amount is about 16 million, showing an decrease of over 20% compared to the previous period.

Data source: https://stats.nostr.band/

NIPs

Allow multi-user AUTH #1881 vitorpamplona is proposing a PR that reuses one connection for everyone by accepting multi-user logins on the relay side. Additionally, this PR standardizes how relays should handle multiple AUTH messages from the client, instead of leaving it as undefined behavior. Currently, most relays override the previous AUTH, which means developers can rotate the authenticated user within the same connection. Some relays only accept the first AUTH and ignore the rest. A few newer relays already support multi-user logins as described in this PR, which he believes is the correct way to implement NIP-42 AUTH. The purpose of this PR is to formalize that behavior.

Adds optional nip60.signSecret() and kind 10019 filter tag #1890 robwoodgate is proposing a PR that clarifies and improves Nostr <---> Cashu interoperability as follows:Adds an optional signer signature for NUT-10 well-known secrets to NIP-60, NIP-07 and NIP-46；Clarifies use of Nostr <---> Cashu public keys in NIP-61；Adds an optional reverse lookup filter tag to NIP-61 kind 10019 events.

Notable Projects

​​Coracle 0.6.10 nostr:npub13myx4j0pp9uenpjjq68wdvqzywuwxfj64welu28mdvaku222mjtqzqv3qk

Coracle 0.6.10 release is out on the web and zapstore! This is another maintenance release, including a complete rewrite of the networking code (coming soon to flotilla), and several bug fixes. * Fix spotify url parsing bug * Fix nip46 signer connect * Use new version of network library * Fix reply drafts bug * Fix creating a new account while logged in * Re-work storage adapter to minimize storage and improve performance * Improve initial page load times * Fix followers page * Upgrade welshman * Remove platform relay * Show PoW * Don't fetch messages until decryption is enabled

Damus v1.14 nostr:npub18m76awca3y37hkvuneavuw6pjj4525fw90necxmadrvjg0sdy6qsngq955

A new TestFlight release is here for Purple users to try! * ️Setup a wallet lightning fast with our new one-click wallet setup, powered by Coinos! * New revamped wallet experience with balance and transactions view for your NWC wallet — see how much you got zapped without even leaving the app! * New notification setting to hide hellthreads. ie. Achieve notification peace. * NIP-65 relay list support — more compatibility across Nostr apps! * Unicode 16 emoji reactions (only for iOS 18.4+) - even more options to express your reactions! * Blurred images now show some more information — no more wondering why images are occasionally blurred. * More bugs fixed, and general robustness improvements.

0xchat v1.4.9 nostr:npub1tm99pgz2lth724jeld6gzz6zv48zy6xp4n9xu5uqrwvx9km54qaqkkxn72

What's new: * Implemented updated NIP-29 group logic with support for group admin roles * Added support for Aegis URL scheme login on iOS

YakiHonne nostr:npub1yzvxlwp7wawed5vgefwfmugvumtp8c8t0etk3g8sky4n0ndvyxesnxrf8q

🌐web v4.6.0: * Introducing Smart Widgets v2 – now dynamic and programmable. Learn more at https://yakihonne.com/docs/sw/intro * New Tools Smart Widgets section in note creation for advanced content editing. * Curations, videos, and polls are now Tools Smart Widgets, enabling quick creation and seamless embedding in notes. * Zap advertisements added—top zappers can now appear below notes. * Note translation button has been relocated next to the note options for easier access. * Followers and following lists are now visible directly on the dashboard home page. * General improvements and bug fixes for a smoother experience.

📱mobile v1.7.0: * Introducing the fully upgraded smart widget with its expanded set of functionalities. * A set of tools to enhance content editing. * Curations, videos, and polls are now Tools Smart Widgets, enabling quick creation and seamless embedding in notes. * Shortened URLs for a better user experience. * Highest zappers in notes will be highlighted. * Zapper list now includes zaps messages. * Videos and curations are no longer visible in the app. * Gossip models can be enabled and disabled. * Fixed multiple bugs for a more stable and seamless app experience. * Enhanced overall performance, usability, and design across the app.

Nostur v1.20 nostr:npub1n0stur7q092gyverzc2wfc00e8egkrdnnqq3alhv7p072u89m5es5mk6h0

New in this version: * Added support for Lists (kind 30000) * Show preview of feed from list * Turn list into feed tab with 1 tap * Subscribe toggle to keep updating the feed from original maintainer, or keep list as-is * Share List: Toggle to make list public * Lists tab on Profile view * 'Add all contacts to feed/list' post menu item * Discover tab now shows Lists shared by your follows * Enable manual ordering of custom feeds / tabs * New Top Zapped feed * New onboarding screens * New default color scheme / adjusted backgrounds * Lower delays and timeouts for fetching things * Improved hellthread handling * Support for comment on highlights (kind 9802) * Toggle to post to restricted/locked relay when starting post from single relay feed * Support relay auth for bunker/remote signer accounts * Zoom for previous profile pictures * Improved Relay Autopilot / Outbox when loading a single profile, always try to find 2 additional relays not in already used relay set * Improved support for accounts with large follow lists * Keep things longer in cache on desktop version * Improved support for pasting animated gifs * Use floating mini video player also on iPad and Desktop * Many performance improvements and bugfixes

Zapstore 0.2.6 nostr:npub10r8xl2njyepcw2zwv3a6dyufj4e4ajx86hz6v4ehu4gnpupxxp7stjt2p8

• Fixes for stale data, apps should now show their latest versions
• Upgrade to nostr:npub1kpt95rv4q3mcz8e4lamwtxq7men6jprf49l7asfac9lnv2gda0lqdknhmz DVM format
• New Developer screen (basic for now, delete local cache if apps are missing!)

ZEUS v0.11.0 nostr:npub1xnf02f60r9v0e5kty33a404dm79zr7z2eepyrk5gsq3m7pwvsz2sazlpr5

ZEUS v0.11.0-alpha 2 with Cashu support is now available for testing. In this build: * Fix: addresses an issue where some Cashu wallets would crash when redeeming their first token. If you were affected by this bug, try removing the mint in question and re-adding it with the 'Existing funds' toggle enabled. FUNDS ARE SAFU! * Feat: Core Lightning: show closed channels list * Locale updates

Long-Form Content Eco

In the past two weeks, more than 378 long-form articles have been published, including over 57 articles on Bitcoin and more than 32 related to Nostr, accounting for 24% of the total content.

These articles about Nostr mainly explore the protocol’s steady evolution toward simplicity, decentralization, and practical usability. There is a clear call within the community to strip away unnecessary complexity and return to Nostr’s minimalist roots, emphasizing lightweight structures and user autonomy. At the same time, a wave of innovation is expanding Nostr’s possibilities—new marketplaces, interoperable bridges with other protocols, and creative tools for publishing, identity, and social interaction are emerging rapidly. The articles also reflect a growing focus on censorship resistance, advocating for more diverse and independent relay networks, encrypted communications between relays, and broader user control over data and publishing. Practical guides and firsthand user experiences reveal both the excitement and the challenges of building within an open, permissionless ecosystem.

These articles about Bitcoin depict the evolution and expansion of the Bitcoin ecosystem from various perspectives. On the technical front, they focus on the iteration of Bitcoin Core versions, innovations in secure storage methods, advancements in multisignature solutions and post-quantum cryptography, as well as the ongoing optimization of payment tools like the Lightning Network, highlighting Bitcoin's continuous progress in enhancing asset security and transaction efficiency. At the same time, through real-life stories and personal experiences, many articles illustrate Bitcoin's practical role in individuals' lives, showing how it helps people achieve financial autonomy, build resilience, and transform their lifestyles in times of turmoil. From a financial perspective, the articles delve into Bitcoin’s unique value as digital gold and an inflation hedge, and its function as a safe haven and transformative force in emerging economies and shifting trade environments.

Thank you, nostr:npub1jp3776ujdul56rfkkrv8rxxgrslqr07rz83xpmz3ndl74lg7ngys320eg2 nostr:npub1xzuej94pvqzwy0ynemeq6phct96wjpplaz9urd7y2q8ck0xxu0lqartaqn nostr:npub1qd6zcgzukmydscp3eyauf2dn6xzgfsevsetrls8zrzgs5t0e4fws7re0mj nostr:npub12q4tq25nvkp52sluql37yr5qn059qf3kpeaa26u0nmd7ag5xqwtscduvuh nostr:npub1t49ker2fyy2xc5y7qrsfxrp6g8evsxluqmaq09xt7uuhhzsurm3srw4jj5 nostr:npub1p7dep69xdstul0v066gcheg2ue9hg2u3pngn2p625auyuj57jkjscpn02q nostr:npub1l0cwgdrjrxsdpu6yhzkp7zcvk2zqxl20hz8mq84tlguf9cd7dgusrmk3ty nostr:npub1fn4afafnasdqcm7hnxtn26s2ye3v3g2h2xave7tcce6s7zkra52sh7yg99 npub1jh95xvxnqdqj5ljh3vahh7s7s0pv9mj9sfrkdnx4xgead9kmwpkq2e0fqm，npub1qn4ylq6s79tz4gwkphq8q4sltwurs6s36xsq2u8aw3qd5ggwzufsw3s3yz，npub1penlq56qnlvsr7v3wry24twn6jtyfw5vt6vce76yawrrajcafwfs0qmn5s，and others, for your work. Enriching Nostr’s long-form content ecosystem is crucial.

Nostriches Global Meet Ups

Recently, several Nostr events have been hosted in different countries. * Recently, YakiHonne collaborated with multiple communities and universities across Africa, such as nostr:npub1yp5maegtq53x536xcznk2hqzdtpgxg63hzhl2ya3u4nrtuasxaaqa52pzn nostr:npub1tk59m73xjqq7k3hz9hlwsvspu2xq7t9gg0qj86cgp4rrlqew5lpq5zq7qp nostr:npub1wjncl8k8z86qq2hwqqeufa4g9z35r5t5wquawxghnrs06z9ds8zsm49yg7 and more, to successfully host seven Nostr Workshops, attracting over 200 enthusiastic participants. The events not only provided a comprehensive introduction to the Nostr ecosystem and Bitcoin payments but also offered hands-on experiences with decentralized technologies through the YakiHonne platform.

• The second BOBSpace Nostr Month Meetup took place on Friday, April 25, 2025, at 6:30 PM in Bangkok. This special event featured nostr:npub18k67rww6547vdf74225x4p6hfm4zvhs8t8w7hp75fcrj0au7mzxs30202m the developer of Thailand’s home-grown Nostr client Wherostr, as the guest speaker. He shared his developer journey, the story behind building Wherostr, and how Nostr enables censorship-resistant communication. This was a Bitcoin-only meetup focused on the Nostr protocol and decentralized technologies.
• Panama Blockchain Week 2025 took place from April 22 to 24 at the Panama Convention Center in Panama City. As the first large-scale blockchain event in Central America, it aimed to position Panama as a leading blockchain financial hub in Latin America. The event featured a diverse lineup, including a blockchain conference, Investor’s Night, Web3 gaming experiences, tech exhibitions, and an after-party celebration.

Here is the upcoming Nostr event that you might want to check out. * Nostr & Poker Night will be held on April 30 at the Bitcoin Embassy in El Salvador. The event will feature an exciting Nostr-themed presentation by nostr:npub1dmnzphvk097ahcpecwfeml08xw8sg2cj4vux55m5xalqtzz9t78q6k3kv6 followed by a relaxed and fun poker night. Notably, 25% of the poker tournament prize will be donated to support MyfirstBitcoin’s Bitcoin education initiatives. * A free webinar on venture capital, Bitcoin, and cryptocurrencies will be held online on May 6 at 12:00 PM (ARG time). Organized in collaboration with Draper Cygnus, the event aims to introduce the fundamentals of venture capital, present the projects of ONG Bitcoin Argentina Academy, and provide attendees with the opportunity to interact with the guest speakers. * Bitcoin Unveiled: Demystifying Freedom Money will take place on May 10, 2025, at Almara Hub. The event will explore Bitcoin’s transformative potential, helping participants understand its purpose, learn how to get started, build a career in the Bitcoin space, and begin their Bitcoin savings journey. Featured speakers include nostr:npub1sn0q3zptdcm8qh8ktyhwtrnr9htwpykav8qnryhusr9mcr9ustxqe4tr2x Theophilus Isah, nostr:npub1s7xkezkzlfvya6ce6cuhzwswtxqm787pwddk2395pt9va4ulzjjszuz67p , and Megasley.

Additionally, We warmly invite event organizers who have held recent activities to reach out to us so we can work together to promote the prosperity and development of the Nostr ecosystem.

Thanks for reading! If there’s anything I missed, feel free to reach out and help improve the completeness and accuracy of my coverage.

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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.

@ 629c4a12:f822cc1a

I’ve always been drawn to minimalism. There’s a certain peace that comes from stripping away the unnecessary, decluttering both physical and mental spaces. Yet, when it comes to finances, I’ve found myself tangled in complexity. As an ‘optimizer,’ I spend an inordinate amount of time thinking about investments, managing risk, and endlessly tinkering with my portfolio. This preoccupation contradicts the minimalist principles I try to live by.

It seems absurd to me that the financial world has become so complicated that we need money managers to simply preserve the value of our money. If investing is so intricate that the average person must hire professionals just to preserve (let alone grow) the value of their savings, then something is fundamentally wrong.

For the past five years, I’ve immersed myself in the history and mechanics of financial systems. The deeper I delved, the clearer it became: Bitcoin is a force of minimalism in an increasingly financialized and complex world.

The Clutter of Modern Finance

Our financial system has become bloated with complexity. The hyper-securitization of assets has created an environment filled with financial clutter. Derivatives, for example, represent layers upon layers of financial engineering, often so convoluted that even experts struggle to understand them fully.

More troubling is the way nearly everything of value has been financialized. Real estate and art, two things that should embody personal value and cultural significance, have been transformed into mere asset classes. They are bought, sold, and speculated upon not for their intrinsic qualities but as instruments in the game of wealth preservation.

But why has this happened? It’s actually quite simple: our money is constantly losing value. The dollar, for example, debases at a rate of around 7% per year. Holding cash feels like holding melting ice, so it’s only natural for people to seek out scarce assets to preserve their wealth. The Never-Ending Game of Diversification

This pursuit of scarce assets sets off a complex game—a game that forces people to diversify endlessly:

• Equities
• Bonds
• Real Estate
• Commodities
• Art
• Collectibles

We’re told to spread our investments across these asset classes to mitigate risk and preserve our hard-earned money. Those who can afford to hire money managers generally fare better in this game, as they have access to expertise and strategies designed to navigate this maze of complexity.

Ironically, this system creates an incentive for more complexity. The more convoluted the financial landscape becomes, the more we need money managers, and the more entrenched this cycle of financialization and securitization becomes. It’s a force of ever-increasing entropy—quite the opposite of minimalism.

Bitcoin: Simplicity in a Complex World

In the midst of this financial chaos, Bitcoin emerges as a beacon of simplicity. It offers a way out of the clutter, a chance to reclaim financial minimalism. Bitcoin embodies the concept of scarcity with a rare kind of perfection: there will only ever be 21 million Bitcoins. No more.

This scarcity makes Bitcoin the perfect savings technology. Unlike traditional currencies, no one can debase your holdings. You don’t need to chase after real estate, art, or other assets to preserve your wealth. You don’t need to constantly diversify and rebalance a portfolio to stay ahead of inflation. Bitcoin’s scarcity gives you a way to hold your wealth securely, without the need for endless tinkering.

I’m not blind to Bitcoin’s short-term price volatility. However, it’s crucial to understand that we’re still in the early stages of adoption. As more people embrace this perfect form of scarcity, Bitcoin’s qualities as savings technology will express itself.

Bitcoin has the potential to de-financialize the housing market. It can de-financialize art.

Ultimately, Bitcoin has the power to replace those aspects of our lives that currently serve as proxies for scarcity.

A Minimalist Approach to Wealth

Bitcoin allows us to step off the treadmill of constant financial optimization. It offers a simpler way to safeguard the fruits of our labor. Rather than spending our time, energy, and attention on navigating a complex financial system, we can focus on what truly matters: living a meaningful life.

By embracing Bitcoin, we embrace a minimalist approach to wealth. We reject the idea that we must play a never-ending game of diversification to maintain our standard of living. Instead, we adopt a simple, elegant solution that aligns with the principles of minimalism.

Conclusion

In a world that grows more financially cluttered by the day, Bitcoin stands as a path to financial minimalism. It frees us from the complexities of traditional finance, allowing us to preserve our wealth without the need for constant vigilance and management.

By embodying scarcity and simplicity, Bitcoin gives us a way to reclaim our time and energy. It’s not just a financial tool; it’s a way to simplify our lives, to step back from the chaos, and to focus on what truly matters

@ 6be5cc06:5259daf0

A posição do libertário que rejeita o cristianismo padece de sérias incoerências lógicas, históricas e filosóficas. Ao renegar as bases espirituais e culturais que tornaram possível o próprio ideal libertário, tal posição demonstra ser, ao mesmo tempo, autofágica e irracional. É o caso de alguém que se gloria dos frutos de uma árvore que corta pela raiz.

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I. Fundamento histórico: a civilização da liberdade é cristã

Não foi o secularismo moderno, nem o paganismo antigo, que ergueram as instituições que protegem a dignidade da pessoa humana e os limites ao poder. Desde os primeiros séculos, a Igreja resistiu ao culto estatal romano, afirmando a soberania de Deus sobre os Césares — "Mais importa obedecer a Deus que aos homens" (Atos 5,29).

Foi o cristianismo que:

• Fundou universidades livres, onde o saber era buscado sob o primado da verdade;

• Defendeu a lei natural como fundamento do direito — uma doutrina que protege o indivíduo contra tiranias;

• Resgatou e aprofundou o conceito de pessoa, dotada de razão e livre-arbítrio, imagem de Deus, e, portanto, inalienavelmente digna e responsável.

Em momentos-chave da história, como nas disputas entre papado e império, nas resistências contra absolutismos, e na fundação do direito internacional por Francisco de Vitoria e a Escola de Salamanca, foi o cristianismo quem freou o poder estatal em nome de princípios superiores. A tradição cristã foi frequentemente o principal obstáculo à tirania, não seu aliado.

Negar isso é amputar a própria genealogia da liberdade ocidental.

Uma das chaves do cristianismo para a construção dessa civilização da liberdade foi a exaltação do individualismo. Ao afirmar que o ser humano é feito à imagem de Deus e que sua salvação é uma escolha pessoal, o cristianismo colocou o indivíduo no centro da moralidade e da liberdade. Diferente dos gregos, cuja ética era voltada para a polis e a cidade-estado, o cristianismo reafirma a suprema importância do indivíduo, com sua capacidade de escolha moral, responsabilidade pessoal e dignidade intrínseca. Esse princípio, mais do que qualquer outra religião, foi o alicerce do desenvolvimento da liberdade individual e da autonomia, valores que sustentam a civilização ocidental.

A ética grega, na melhor das hipóteses, descreve a ordem natural — mas não consegue justificar por que essa ordem deveria obrigar a vontade humana. Um Logos impessoal não tem autoridade moral. Uma ordem cósmica sem um Legislador é apenas um dado de fato, não uma norma vinculante. A vontade pode rebelar-se contra o telos — e sem um Deus justo, que ordena a natureza à perfeição, não há razão última para não o fazer.

A cultura grega teve uma influência indiscutível sobre o desenvolvimento da civilização ocidental, mas o cristianismo não só absorveu o que havia de bom na cultura grega, como também elevou e completou esses aspectos. O cristianismo, ao afirmar que todos os homens são feitos à imagem e semelhança de Deus e têm dignidade intrínseca, levou a uma noção de igualdade moral e liberdade que transcende as limitações da pólis grega.

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II. Falsa dicotomia: fé e liberdade não são opostas

Com frequência equiparam a religião à coerção e à obediência cega. Mas isso é um equívoco: o cristianismo não se impõe pela força, mas apela à consciência. O próprio Deus, em sua relação com a criatura racional, respeita sua liberdade. Como ensina a Escritura:

"Se alguém quiser vir após mim..." (Mt 16,24);
"Eis que estou à porta e bato. Se alguém ouvir a minha voz e abrir a porta, entrarei em sua casa e cearei com ele." (Ap 3,20);
"Assim falai, e assim procedei, como devendo ser julgados pela lei da liberdade." (Tiago 2,12).

A adesão à fé deve ser livre, voluntária e racional, pois sem liberdade não há verdadeiro mérito, nem amor genuíno. Isso é mais compatível com o princípio de não agressão do que qualquer utopia secular. Ora, o núcleo do evangelho é voluntarista: salvação pessoal, conversão interior, caridade.

Ninguém deve ser forçado, contra sua vontade, a abraçar a fé, pois o ato de fé é por sua natureza voluntário (Dignitatis Humanae; CDC, cân. 748,2)

Se algum Estado usa da força para impor o cristianismo, afirmar que o cristianismo causou as coerções é tão equivocado quanto dizer que a propriedade privada causa o comunismo; é uma inversão da realidade, pois o comunismo surge precisamente da violação da propriedade. Portanto, a fé forçada é inválida em si mesma, pois viola a natureza do ato de crer, que deve ser livre.

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III. Fundamento moral: sem transcendência, o libertarianismo flutua no vácuo

O libertário anticristão busca defender princípios objetivos — como a inviolabilidade do indivíduo e a ilegitimidade da agressão — sem um fundamento transcendente que lhes dê validade universal. Por que a agressão é errada? Por que alguém tem direito à vida, à liberdade, à propriedade? Sem uma explicação transcendental, as respostas para tais perguntas se tornam apenas opiniões ou convenções, não obrigações morais vinculantes. Se a moralidade é puramente humana, então os direitos podem ser modificados ou ignorados conforme a vontade da sociedade. O conceito de direitos naturais, tão caro ao libertarianismo, precisa de um solo metafísico que justifique sua universalidade e imutabilidade. Caso contrário, eles podem ser tratados apenas como acordos utilitários temporários ou preferências culturais, sem qualquer obrigatoriedade para todos os seres humanos em todas as circunstâncias.

Pensadores libertários seculares, como Ayn Rand e Murray Rothbard, tentaram ancorar os direitos naturais na razão humana ou na natureza do homem. Rand baseia sua ética no egoísmo racional, enquanto Rothbard apela à lei natural. Embora essas abordagens busquem objetividade, elas carecem de uma resposta definitiva para por que a razão ou a natureza humana obrigam moralmente todos os indivíduos. Sem um fundamento transcendente, suas concepções permanecem vulneráveis a interpretações subjetivas ou a cálculos utilitários.

Aqui, o cristianismo oferece uma explicação sólida e transcendental que fundamenta os direitos naturais. A visão cristã de que o ser humano foi criado à imagem e semelhança de Deus confere à pessoa uma dignidade intrínseca, imutável e universal. Essa dignidade não depende de fatores externos, como consenso social ou poder político, mas é uma característica inerente ao ser humano pela sua criação divina. A partir dessa perspectiva teológica, torna-se possível afirmar com base sólida que os direitos naturais são dados por Deus e, portanto, são universais e vinculantes.

O cristianismo também é a base de um sistema moral que distingue claramente justiça de legalidade. O Estado pode criar leis, mas isso não significa que essas leis sejam justas. A justiça, sob a ótica cristã, é uma expressão da ordem moral objetiva, algo que transcende as leis humanas e é definido pela vontade divina. Por isso, o libertarianismo cristão vê a agressão como uma violação de uma ordem moral objetiva, e não apenas uma violação de uma convenção social ou de um acordo utilitário.

Se a moralidade e os direitos naturais não forem fundamentados em um Logos criador e legislador, o que acontece é que o conceito de direito natural degenera para algo mais frágil, como um simples acordo utilitário. Nesse cenário, os direitos do indivíduo se tornam algo acordado entre os membros de uma sociedade, em vez de princípios imutáveis e universais. Os direitos podem ser negociados, alterados ou ignorados conforme o interesse do momento.

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IV. Fundamento científico: a racionalidade moderna é filha da fé cristã

A ciência moderna só foi possível no contexto cultural cristão. Nenhuma outra civilização — nem a grega, nem a islâmica, nem a chinesa — produziu o método científico como o Ocidente cristão o fez.

Isso se deve a quatro premissas teológicas:

1. Criação racional: O mundo é ordenado por um Deus racional.

2. Distinção entre Criador e criatura: A natureza não é divina e pode ser estudada sem sacrilégio.

3. Valor do trabalho e da observação empírica, herdado do monaquismo.

4. Autonomia institucional, presente nas universidades medievais.

A doutrina cristã da Criação ex nihilo ensina que o mundo foi criado por um Deus racional, sábio e pessoal. Portanto, o cosmos é ordenado, possui leis, e pode ser compreendido pela razão humana — que é imagem do Criador. Isso contrasta fortemente com as cosmovisões panteístas ou mitológicas, onde o mundo é cíclico, arbitrário ou habitado por forças caprichosas.

Sem essa fé no Logos criador, não há razão para crer que a natureza tenha uma ordem inteligível universal e constante, que pode ser descoberta por observação e dedução. A ciência moderna só é possível porque, antes de investigar a natureza, pressupôs-se que ela era investigável — e isso foi uma herança direta do pensamento cristão.

Homens como Bacon, Newton, Kepler e Galileu viam na ciência um modo de glorificar o Criador. O ateísmo cientificista é, portanto, parasitário da teologia cristã, pois toma seus frutos e rejeita suas raízes. A ciência moderna nasceu como filha legítima da fé cristã. E os que hoje a usam contra sua mãe, ou são ingratos, ou ignorantes.

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V. O cristianismo como barreira à revolução cultural

O cristianismo é a barreira mais sólida contra a infiltração revolucionária. A chamada "marcha gramsciana", que visa corroer os fundamentos morais da sociedade para subjugar o indivíduo ao coletivo, encontra sua resistência mais firme nos princípios cristãos. A fé cristã, ao proclamar a existência de uma verdade objetiva, de uma lei moral imutável e de uma dignidade humana que transcende o Estado e o consenso social, imuniza a civilização contra o relativismo e o igualitarismo nivelador do marxismo cultural.

Além disso, o cristianismo é uma tradição milenar, profundamente enraizada no cotidiano das pessoas, não sendo uma novidade a ser imposta ou implementada, mas uma força presente há séculos, que permeia a estrutura social, moral e cultural da sociedade. Sua presença constante nas comunidades, desde os tempos mais antigos, oferece uma resistência robusta contra qualquer tentativa de subverter a ordem natural e moral estabelecida.

Não por acaso, tanto Karl Marx quanto Antonio Gramsci identificaram no cristianismo o principal obstáculo à realização de seus projetos revolucionários. Marx chamou a religião de "ópio do povo" porque sabia que uma alma ancorada em Deus não se submete facilmente ao poder terreno; Gramsci, mais sutil, propôs a destruição da cultura cristã como pré-condição para o triunfo do socialismo. Sem essa âncora transcendente, a sociedade torna-se presa fácil das engenharias sociais que pretendem redefinir arbitrariamente o homem, a família e a liberdade.

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Conclusão

O libertário anticristão, consciente ou não, nega as fundações mesmas do edifício que habita. Ao rejeitar o cristianismo, cava o abismo sob os próprios pés, privando o ideal libertário de sua base moral, cultural e racional. Ele defende a ética voluntária, a liberdade individual e a ordem espontânea, mas sem o solo metafísico e histórico que torna esses princípios inteligíveis e possíveis. É um erro tentar preservar a liberdade em termos absolutos sem reconhecer as raízes cristãs que a sustentam, pois o cristianismo é a única tradição que a legitima e a viabiliza.

Negar o cristianismo é racionalmente insustentável. A liberdade, como a conhecemos, é filha da fé cristã, que oferece a base moral e metafísica que torna a liberdade tanto desejável quanto possível. Mesmo que ateu, o libertário que ama a liberdade deveria, no mínimo, respeitar — e, idealmente, redescobrir — essas raízes cristãs. Pois sem fé, restam apenas o niilismo e o relativismo, que, eventualmente, desaguam na servidão.

Como nos ensina a tradição: Ubi fides ibi libertas — onde há fé, há liberdade.

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During the incredible Bitcoin Filmfest, I attended a community session where a discussion emerged about zapping and why I believe zaps are important. The person leading the Nostr session who is also developing an app that’s partially connected to Nostr mentioned they wouldn’t be implementing the zap mechanism directly. This sparked a brief but meaningful debate, which is why I’d like to share my perspective as an artist and content creator on why zaps truly matter.

Let me start by saying that I see everything from the perspective of an artist and creator, not so much from a developer’s point of view. In 2023, I started using Nostr after spending a few years exploring the world of ‘shitcoins’ and NFTs, beginning in 2018. Even though I became a Bitcoin maximalist around 2023, those earlier years taught me an important lesson: it is possible to earn money with my art.

Whether you love or hate them, NFTs opened my eyes to the idea that I could finally take my art to the next level. Before that, for over 15 years, I ran a travel stock video content company called @traveltelly. You can read the full story about my journey in travel and content here: https://yakihonne.com/article/traveltelly@primal.net/vZc1c8aXrc-3hniN6IMdK

When I truly understood what Bitcoin meant to me, I left all other coins behind. Some would call that becoming a Bitcoin maximalist.

The first time I used Nostr, I discovered the magic of zapping. It amazed me that someone who appreciates your art or content could reward you—not just with a like, but with real value: Bitcoin, the hardest money on earth. Zaps are small amounts of Bitcoin sent as a sign of support or appreciation. (Each Bitcoin is divisible into 100 million units called Satoshis, or Sats for short—making a Satoshi the smallest unit of Bitcoin recorded on the blockchain.)

The Energy of Zaps

If you’re building an app on Nostr—or even just connecting to it—but choose not to include zaps, why should artists and content creators share their work there? Why would they leave platforms like Instagram or Facebook, which already benefit from massive network effects?

Yes, the ability to own your own data is one of Nostr’s greatest strengths. That alone is a powerful reason to embrace the protocol. No one can ban you. You control your content. And the ability to post once and have it appear across multiple Nostr clients is an amazing feature.

But for creators, energy matters. Engagement isn’t just about numbers—it’s about value. Zaps create a feedback loop powered by real appreciation and real value, in the form of Bitcoin. They’re a signal that your content matters. And that energy is what makes creating on Nostr so special.

But beyond those key elements, I also look at this from a commercial perspective. The truth is, we still can’t pay for groceries with kisses :)—we still need money as a medium of exchange. Being financially rewarded for sharing your content gives creators a real incentive to keep creating and sharing. That’s where zaps come in—they add economic value to engagement.

A Protocol for Emerging Artists and Creators

I believe Nostr offers a great starting point for emerging artists and content creators. If you’re just beginning and don’t already have a large following on traditional social media platforms, Nostr provides a space where your work can be appreciated and directly supported with Bitcoin, even by a small but engaged community.

On the other hand, creators who already have a big audience and steady income on platforms like Instagram or YouTube may not feel the urgency to switch. This is similar to how wealthier countries are often slower to understand or adopt Bitcoin—because they don’t need it yet. In contrast, people in unbanked regions or countries facing high inflation are more motivated to learn how money really works.

In the same way, emerging creators—those still finding their audience and looking for sustainable ways to grow—are often more open to exploring new ecosystems like Nostr, where innovation and financial empowerment go hand in hand.

The same goes for Nostr. After using it for the past two years, I can honestly say: without Nostr, I wouldn’t be the artist I am today.

Nostr motivates me to create and share every single day. A like is nice but receiving a zap, even just 21 sats, is something entirely different. Once you truly understand that someone is willing to pay you for what you share, it’s no longer about the amount. It’s about the magic behind it. That simple gesture creates a powerful, positive energy that keeps you going.

Even with Nostr’s still relatively small user base, I’ve already been able to create projects that simply wouldn’t have been possible elsewhere.

Zaps do more than just reward—they inspire. They encourage you to keep building your community. That inspiration often leads to new projects. Sometimes, the people who zap you become directly involved in your work, or even ask you to create something specifically for them.

That’s the real value of zaps: not just micro-payments, but micro-connections sparks that lead to creativity, collaboration, and growth.

Proof of Work (PoW)

Over the past two years, I’ve experienced firsthand how small zaps can evolve into full art projects and even lead to real sales. Here are two examples that started with zaps and turned into something much bigger:

Halving 2024 Artwork

When I started the Halving 2024 project, I invited people on Nostr to be part of it. 70 people zapped me 2,100 sats each, and in return, I included their Npubs in the final artwork. That piece was later auctioned and sold to Jurjen de Vries for 225,128 Sats.

Magic Internet Money

For the Magic Internet Money artwork, I again invited people to zap 2,100 sats to be included. Fifty people participated, and their contributions became part of the final art frame. The completed piece was eventually sold to Filip for 480,000 sats.

These examples show the power of zaps: a simple, small act of appreciation can turn into larger engagement, deeper connection, and even the sale of original art. Zaps aren’t just tips—they’re a form of collaboration and support that fuel creative energy.

I hope this article gives developers a glimpse into the perspective of an artist using Nostr. Of course, this is just one artist’s view, and it doesn’t claim to speak for everyone. But I felt it was important to share my Proof of Work and perspective.

For me, Zaps matter.

Thank you to all the developers who are building these amazing apps on Nostr. Your work empowers artists like me to share, grow, and be supported through the value-for-value model.

@ 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.

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At the recent Launch Music Festival and Conference in Lancaster, PA, featuring over 120 musicians across three days, I volunteered my time with Tunestr and Phantom Power Music's initiative to introduce artists to Bitcoin, Nostr, and the value-for-value model. Tunestr sponsored a stage, live-streaming 21 bands to platforms like Tunestr.io, Fountain.fm and other Nostr/Podcasting 2.0 apps and on-boarding as many others as possible at our conference booth. You may have seen me spamming about this over the last few days.

V4V Earnings

Day 1: 180,000 sats

Day 2: 300,000 sats

Day 3: Over 500,000 sats

Who?

Here are the artists that were on-boarded to Fountain and were live streaming on the Value-for-Value stage:

nostr:npub1cruu4z0hwg7n3r2k7262vx8jsmra3xpku85frl5fnfvrwz7rd7mq7e403w nostr:npub12xeh3n7w8700z4tpd6xlhlvg4vtg4pvpxd584ll5sva539tutc3q0tn3tz nostr:npub1rc80p4v60uzfhvdgxemhvcqnzdj7t59xujxdy0lcjxml3uwdezyqtrpe0j @npub16vxr4pc2ww3yaez9q4s53zkejjfd0djs9lfe55sjhnqkh nostr:npub10uspdzg4fl7md95mqnjszxx82ckdly8ezac0t3s06a0gsf4f3lys8ypeak nostr:npub1gnyzexr40qut0za2c4a0x27p4e3qc22wekhcw3uvdx8mwa3pen0s9z90wk nostr:npub13qrrw2h4z52m7jh0spefrwtysl4psfkfv6j4j672se5hkhvtyw7qu0almy nostr:npub1p0kuqxxw2mxczc90vcurvfq7ljuw2394kkqk6gqnn2cq0y9eq5nq87jtkk nostr:npub182kq0sdp7chm67uq58cf4vvl3lk37z8mm5k5067xe09fqqaaxjsqlcazej nostr:npub162hr8kd96vxlanvggl08hmyy37qsn8ehgj7za7squl83um56epnswkr399 nostr:npub17jzk5ex2rafres09c4dnn5mm00eejye6nrurnlla6yn22zcpl7vqg6vhvx nostr:npub176rnksulheuanfx8y8cr2mrth4lh33svvpztggjjm6j2pqw6m56sq7s9vz nostr:npub1akv7t7xpalhsc4nseljs0c886jzuhq8u42qdcwvu972f3mme9tjsgp5xxk nostr:npub18x0gv872489lrczp9d9m4hx59r754x7p9rg2jkgvt7ul3kuqewtqsssn24

Many more musicians were on-boarded to Fountain, however, we were unable to obtain all of their npubs.

THANK YOU TO ALL ZAPPERS AND BOOSTERS!

Musicians “Get It”

My key takeaway was the musicians' absolute understanding that the current digital landscape along with legacy social media is failing them. Every artist I spoke with recognized how algorithms hinder fan connection and how gatekeepers prevent fair compensation for their work. They all use Spotify, but they only do so out of necessity. They felt the music industry is primed for both a social and monetary revolution. Some of them were even speaking my language…

Because of this, concepts like decentralization, censorship resistance, owning your content, and controlling your social graph weren't just understood by them, they were instantly embraced. The excitement was real; they immediately saw the potential and agreed with me. Bitcoin and Nostr felt genuinely punk rock and that helped a lot of them identify with what we were offering them.

The Tools and the Issues

While the Nostr ecosystem offers a wide variety of tools, we focused on introducing three key applications at this event to keep things clear for newcomers:

1. Fountain, with a music focus, was the primary tool for onboarding attendees onto Nostr. Fountain was also chosen thanks to Fountain’s built-in Lightning wallet.
2. Primal, as a social alternative, was demonstrated to show how users can take their Nostr identity and content seamlessly between different applications.
3. Tunestr.io, lastly was showcased for its live video streaming capabilities.

Although we highlighted these three, we did inform attendees about the broader range of available apps and pointed them to nostrapps.com if they wanted to explore further, aiming to educate without overwhelming them.

This review highlights several UX issues with the Fountain app, particularly concerning profile updates, wallet functionality, and user discovery. While Fountain does work well, these minor hiccups make it extremely hard for on-boarding and education.

• Profile Issues:
• When a user edits their profile (e.g., Username/Nostr address, Lightning address) either during or after creation, the changes don't appear to consistently update across the app or sync correctly with Nostr relays.
• Specifically, the main profile display continues to show the old default Username/Nostr address and Lightning address inside Fountain and on other Nostr clients.
• However, the updated Username/Nostr address does appear on https://fountain.fm (chosen-username@fountain.fm) and is visible within the "Edit Profile" screen itself in the app.
• This inconsistency is confusing for users, as they see their updated information in some places but not on their main public-facing profile within the app. I confirmed this by observing a new user sign up and edit their username – the edit screen showed the new name, but the profile display in Fountain did not update and we did not see it inside Primal, Damus, Amethyst, etc.
• Wallet Limitations:
• The app's built-in wallet cannot scan Lightning address QR codes to initiate payments.
• This caused problems during the event where users imported Bitcoin from Azte.co vouchers into their Fountain wallets. When they tried to Zap a band by scanning a QR code on the live tally board, Fountain displayed an error message stating the invoice or QR code was invalid.
• While suggesting musicians install Primal as a second Nostr app was a potential fix for the QR code issue, (and I mentioned it to some), the burden of onboarding users onto two separate applications, potentially managing two different wallets, and explaining which one works for specific tasks creates a confusing and frustrating user experience.
• Search Difficulties:
• Finding other users within the Fountain app is challenging. I was unable to find profiles from brand new users by entering their chosen Fountain username.
• To find a new user, I had to resort to visiting their profile on the web (fountain.fm/username) to retrieve their npub. Then, open Primal and follow them. Finally, when searching for their username, since I was now following them, I was able to find their profile.
• This search issue is compounded by the profile syncing problem mentioned earlier, as even if found via other clients, their displayed information is outdated.
• Searching for the event to Boost/Zap inside Fountain was harder than it should have been the first two days as the live stream did not appear at the top of the screen inside the tap. This was resolved on the third day of the event.

Improving the Onboarding Experience

To better support user growth, educators and on-boarders need more feature complete and user-friendly applications. I love our developers and I will always sing their praises from the highest mountain tops, however I also recognize that the current tools present challenges that hinder a smooth onboarding experience.

One potential approach explored was guiding users to use Primal (including its built-in wallet) in conjunction with Wavlake via Nostr Wallet Connect (NWC). While this could facilitate certain functions like music streaming, zaps, and QR code scanning (which require both Primal and Wavlake apps), Wavlake itself has usability issues. These include inconsistent or separate profiles between web and mobile apps, persistent "Login" buttons even when logged in on the mobile app with a Nostr identity, and the minor inconvenience of needing two separate applications. Although NWC setup is relatively easy and helps streamline the process, the need to switch between apps adds complexity, especially when time is limited and we’re aiming to showcase the benefits of this new system.

Ultimately, we need applications that are more feature-complete and intuitive for mainstream users to improve the onboarding experience significantly.

Looking forward to the future

I anticipate that most of these issues will be resolved when these applications address them in the near future. Specifically, this would involve Fountain fixing its profile issues and integrating Nostr Wallet Connect (NWC) to allow users to utilize their Primal wallet, or by enabling the scanning of QR codes that pay out to Lightning addresses. Alternatively, if Wavlake resolves the consistency problems mentioned earlier, this would also significantly improve the situation giving us two viable solutions for musicians.

My ideal onboarding event experience would involve having all the previously mentioned issues resolved. Additionally, I would love to see every attendee receive a $5 or $10 voucher to help them start engaging with value-for-value, rather than just the limited number we distributed recently. The goal is to have everyone actively zapping and sending Bitcoin throughout the event. Maybe we can find a large sponsor to facilitate this in the future?

What's particularly exciting is the Launch conference's strong interest in integrating value-for-value across their entire program for all musicians and speakers at their next event in Dallas, Texas, coming later this fall. This presents a significant opportunity to onboard over 100+ musicians to Bitcoin and Nostr, which in turn will help onboard their fans and supporters.

We need significantly more zaps and more zappers! It's unreasonable to expect the same dedicated individuals to continuously support new users; they are being bled dry. A shift is needed towards more people using bitcoin for everyday transactions, treating it as money. This brings me back to my ideal onboarding experience: securing a sponsor to essentially give participants bitcoin funds specifically for zapping and tipping artists. This method serves as a practical lesson in using bitcoin as money and showcases the value-for-value principle from the outset.

@ 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.

---

O tutorial será dividido em dois módulos:

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

---

No final, teremos:

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

---

Módulo 1 - Criando uma carteira fria/assinador

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

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

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

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

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

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

---

Módulo 2 - Configurando um dispositivo para visualizar seus fundos e assinando transações com o assinador.

1. Criar uma carteira somente leitura em outro dispositivo, como seu celular ou computador pessoal, é uma etapa bastante simples. Para este tutorial, usaremos outro smartphone Android com Electrum. Instale o Electrum a partir da aba de downloads em https://electrum.org/ ou da própria Play Store. (ATENÇÃO: O Electrum não existe oficialmente para iPhone. Desconfie se encontrar algum.)

2. Após instalar o Electrum, crie uma carteira padrão, mas desta vez escolha a opção Usar uma chave mestra.

1. Agora, no assinador que criamos no primeiro módulo, exporte sua chave pública: vá em Carteira > Detalhes da carteira > Compartilhar chave mestra pública.

1. Escaneie o QR gerado da chave pública com o dispositivo de consulta. Assim, ele poderá acompanhar seus fundos, mas sem permissão para movimentá-los.

2. Para receber fundos, envie Bitcoin para um dos endereços gerados pela sua carteira: Carteira > Addresses/Coins.

3. Para movimentar fundos, crie uma transação no dispositivo de consulta. Como ele não possui a chave privada, será necessário assiná-la com o dispositivo assinador.

1. No assinador, escaneie a transação não assinada, confirme os detalhes, assine e compartilhe. Será gerado outro QR, desta vez com a transação já assinada.

1. No dispositivo de consulta, escaneie o QR da transação assinada e transmita-a para a rede.

---

Conclusão

Pontos positivos do setup:

• Simplicidade: Basta um dispositivo Android antigo.
• Flexibilidade: Funciona como uma ótima carteira fria, ideal para holders.

Pontos negativos do setup:

• Padronização: Não utiliza seeds no padrão BIP-39, você sempre precisará usar o electrum.
• Interface: A aparência do Electrum pode parecer antiquada para alguns usuários.

Nesse ponto, temos uma carteira fria que também serve para assinar transações. O fluxo de assinar uma transação se torna: Gerar uma transação não assinada > Escanear o QR da transação não assinada > Conferir e assinar essa transação com o assinador > Gerar QR da transação assinada > Escanear a transação assinada com qualquer outro dispositivo que possa transmiti-la para a rede.

Como alguns devem saber, uma transação assinada de Bitcoin é praticamente impossível de ser fraudada. Em um cenário catastrófico, você pode mesmo que sem internet, repassar essa transação assinada para alguém que tenha acesso à rede por qualquer meio de comunicação. Mesmo que não queiramos que isso aconteça um dia, esse setup acaba por tornar essa prática possível.

---

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Satoshi Nakamoto, the pseudonymous creator of Bitcoin, registered his birthday as April 5, 1975, on his P2P Foundation profile. Many think that he chose this date because on that same day in 1933, the United States government confiscated the gold of the American people. Whether this was on purpose or not, what happened in this day is very important to understand how do we ended up here.

In 1933, as expressed in Roosevelt’s Executive Orders 6073, 6102, and 6260, the United States first declared bankruptcy. The bankrupt U.S. went into receivership in 1933. America was turned over via receivership and reorganization in favor of its creditors. These creditors, the International Bankers, from the beginning stated their intent, which was to plunder, bankrupt, conquer and enslave America and return it to its colonial status.1

As one of his first acts as President, Franklin Delano Roosevelt declared a “Banking Emergency” to bail out the Federal Reserve Bank, which had embezzled this country’s gold supply. The Congress gave the President dictatorial powers under the “War Powers Act of 1917” (amended 1933), written, by the way, by the Board of Governors of the Federal Reserve Bank of New York.2

This day marked the official abandonment of the American Constitution, law and real money. Today, 92 years after this event, most of the people living today have never had any real money or paid for anything using real money; unless they used Bitcoin...

There could be no bankruptcy if there was not a private central bank lending paper currency to the government at interest, so we must start from 1913, when the Federal Reserve was created: a non-federal private bank with no reserves and the monopoly of issuing debt based paper currency in unlimited amounts and lending it to the government at interest by buying treasury bills. The fact that this currency is lent into existence at interest makes the debt mathematically impossible to be repaid; it can only be refinanced or defaulted.

Between 1929 and 1933, the Federal Reserve Bank reduced the currency supply by 33%, thereby creating the Great Depression, bankrupting the US government, stealing the Americans’ gold supply, and officially ending the gold standard. Since then the US dollar (money) was replaced with Federal Reserve Notes (debt). This was also the end of the Republican form of government and the beginning of a socialist mob rule democracy (Fascism).

“Fascism should more properly be called corporatism because it is the merger of state and corporate power.” — Benito Mussolini 

The United States government has been bankrupt since 1933, since it defaulted on its gold bonds. This type of bond existed until 1933, when the U.S. monetary system abandoned the gold standard. 3 From this year the government has been totally controlled by the International bankers and used as a tool to spread and maintain their power worldwide.

Many people think that the gold standard was abandoned in 1971, but this is not true; in fact, this happened in 1933 when the US dollar was replaced by Federal Reserve Notes that are 100% debt-based fiat paper currency.

The year 1933 in the United States marked:

• The end of the Republican form of government and the beginning of American Fascism
• The end of the United States dollar and its replacement by Federal Reserve Notes
• The abandonment of common law and replacement with military admiralty law
• The takeover of the United States government by International bankers
• A massive gold theft and the end of the US gold standard
• The exchange of rights with privileges and licenses
• The United States government bankruptcy

The next shameful event in our history which still plagues us to this day was the “War Powers Act of 1933.” This Act permitted President Roosevelt to make law in the form of Executive Order, bypass Congress and create his socialist state. We (citizens of this country) were ever after to be considered enemies of the United States who must be licensed to engage in any commercial activity. With the aid of the Federal Reserve (the same people who created the Depression), the President confiscated our gold and silver coin and replaced it with worthless pieces of paper and a debt system that will eventually destroy this great country. Our land and our labor were pledged to the Federal Reserve Bank, Inc., as collateral for a debt system that could never be paid.4

“Emergency Powers” means any form of military style government, martial law, or martial rule. Martial law and martial rule are not the same.

United States Congressional Record March 17, 1993 Vol. #33, page H- 1303, Congressman James Traficant, Jr. (Ohio) addressing the House:

“Mr. Speaker, we are here now in chapter 11. Members of Congress are official trustees presiding over the greatest reorganization of any Bankrupt entity in world history, the U.S. Government. We are setting forth, hopefully, a blueprint for our future”

“There are some who say it is a coroner’s report that will lead to our demise. It is an established fact that the United States Federal Government has been dissolved by the Emergency Banking Act, March 9, 1933, 48 Stat. 1, Public Law 89-719; dered by President Roosevelt, being bankrupt and insolvent. H.J.R. 192, 73rd Congress in session June 5, 1933 – Joint Resolution To Suspend The Gold Standard and Abrogate the Gold Clause dissolved the Sovereign Authority of the United States and the official capacities of all United States Governmental Offices, Officers, and Departments and is further evidence that the United States Federal Government exists today in name only” **“The receivers of the United States Bankruptcy are the International Bankers, via the United Nations, the World Bank and the International Monetary Fund”

“All United States Offices, Officials, and Departments are now operating within a de facto status in name only under Emergency War Powers. With the Constitutional Republican form of Government now dissolved, the receivers of the Bankruptcy have adopted a new form of government for the United States. This new form of government is known as a Democracy, being an established Socialist/Communist order under a new governor for America. This act was instituted and established by transferring and/or placing the Office of the Secretary of Treasury to that of the Governor of the International Monetary Fund. Public Law 94-564, page 8, Section H.R. 13955 read in part:”

“The U.S. Secretary of Treasury receives no compensation for representing the United States.”

The American Spirit

The intention of the founding fathers of the United States was to create a constitutional republic to protect natural human rights and escape from the tyrannical English monarchy and its usurious Bank of England's monetary system. They created an honest monetary system based on gold and silver (United State Dollar) and got rid of nobility titles, creating equality under the law.

Section 10 of the American Constitution says:

No State shall enter into any Treaty, Alliance, or Confederation; grant Let­ters of Marque and Reprisal; coin Money; emit Bills of Credit; make anything but gold and silver Coin a tender in payment of debts; pass any bill of attainder, ex post facto law, or law impairing the obligation of contracts; or grant any title of nobility.

The United States Dollar (1792-1933)

A dollar is a measure of weight defined by the Coinage Act of 1792 and 1900, which specifies a certain quantity—24.8 grains of gold or 371.25 grains of silver (from 1792 to 1900) when the American dollar was based on a bimetallic standard.

The Gold Standard Act of 1900 formally placed the United States on the gold standard, setting the value of one dollar at 25.8 grams of 90% pure gold, which fixed the price of gold at $20.67 per troy ounce. This standard was totally abandoned in 1933.

Gold and silver were such powerful money during the founding of the United States of America that the founding fathers declared that only gold or silver coins could be “money” in America.

But since the greedy bankers cannot profit from honest money they cannot print, they replaced the money with paper debt instruments. And by doing this, they have effectively enslaved the American people until today. My definition of modern slavery is working for a currency that someone else can create at no cost or effort. What's worse is that they even demand to be paid back and with interest!

Federal Reserve Notes (1913-present)

Federal Reserve Notes are not real money. Money that has metallic or other intrinsic value, as distinguished from paper currency, checks, and drafts.

Federal Reserve Notes (FRNs) are a legal fiction. An assumption that something is true even though it may be untrue. 5 The assumption that they are money, when in fact they are the opposite of money: debt or paper currency.

Paper money. Paper documents that circu­late as currency; bills drawn by a government against its own credit. 6 Like Goldsmiths' notes. Hist. Bankers' cash notes: promissory notes given by bankers to customers as acknowledgments of the receipt of mon­ey. • This term derives from the London banking business, which originally was transacted by goldsmiths.7

These notes were scientifically designed to bankrupt the government and slave the American people, as Alfred Owen Crozier warned one year before the bill for the creation of the FED was passed through Congress (1912):

If Congress yields and authorizes a private central bank as proposed by the pending bill, the end when the bubble bursts will be universal ruin and national bankruptcy.

Unfortunately, the bill was passed in 1913, and this private bank started printing a new currency different from the US dollar creating the great depression and effectible bankrupting the government like Alfred warned 20 years before.

Alfred also warned:

Thus the way is opened for an unlimited inflation of corporate paper currency issued by a mere private corporation with relatively small net assets and no government guarantee, every dollar supposed to be redeemable in gold, but with not a single dollar of gold necessarily held in the reserves of such corporation to accomplish such redemption.

Differently from what's commonly believed Federal Reserve Notes (FRNs) were never really “backed” by gold; they were never supposed to be hard currency. Currency backed by re­serves, esp. gold and silver reserves.

The United States government defaulted on its gold clauses, calling for payment in gold. This marked the end of the gold standard. A monetary system in which currency is convertible into its legal equivalent in gold or gold coin.

Since then we have been under a paper standard, where we use fake money as tender for payments. Paper standard. A monetary system based en­tirely on paper; a system of currency that is not convertible into gold or other precious metal.

People traded their coupons as money or “currency.” Currency is not money but a money substitute. Redeemable currency must promise to pay a dollar equivalent in gold or silver money. Federal Reserve Notes (FRNs) make no such promises and are not “money.” A Federal Reserve Note is a debt obligation of the federal United States government, not “money.” The federal United States government and the U.S. Congress were not and have never been authorized by the Constitution of the United States of America to issue currency of any kind, but only lawful money—gold and silver coin.8

A bona fide note can be used in a financial transaction to discharge the debt only because it is an unconditional promise to pay by the issuer to the bearer. Is a Federal Reserve Note a contract note, an unconditional promise to pay? At one time the Federal Reserve issued bona fide contractual notes and certificates, redeemable in gold and silver coin. Most people never saw or comprehended the contract. It went largely unread because the Federal Reserve very cunningly hid the contract on the face of the note by breaking it up into five separate lines of text with a significantly different typeface for each line and placing the president’s picture right in the middle of it. They even used the old attorney’s ruse of obscuring the most important text in fine print! Over time, the terms and conditions of the contract were diluted until eventually they literally became an I.O.U. for nothing.

FEDERAL RESERVE NOTE

• THIS NOTE IS LEGAL TENDER FOR ALL DEBT, PUBLIC AND PRIVATE, AND IT IS REDEEMABLE IN LAWFUL MONEY AT THE UNITED STATES TREASURY OR ANY FEDERAL RESERVE BANK.

• DATE: SERIES OF 1934

• WILL PAY TO THE BEARER ON DEMAND: ONE HUNDRED DOLLARS

• TREASURER OF THE UNITED STATES SIGNATURE

• SECRETARY OF THE TREASURY SIGNATURE

Nowadays FRNs say "This note is legal tender for all debts public and private" it tender debt but it does not pay the bearer on demand. It value was stolen by a counterfeiting technique commonly know as inflation.

One hundred dollars (SERIES OF 1934) will be 2480 grains of gold, or 159.4 grams, or 5.1249 troy ounces. Today one troy ounce is priced around $3,000 federal reserve notes. 5.1249 X 3,000 = $15,375 actual FRNs.

A $100 FRN bill today will buy 0.65% of a real gold $100 dollar certificate. That’s a -99.35% loss of purchasing power in the last 91 years.

FRNs savers have been rugged pulled!

Gold bugs where the winners...

But Bitcoin is even better...

Happy birthday Satoshi! April 5 will be forever remembered.

Satoshi... The man, the myth, the Legend...

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@ 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.

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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!

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Unlocks: 19

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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.

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The Bleak Fable of AI-topia: Are Hamsters Doomed to Spin the Wheel Forever?

Once upon a time, in a world not so different from our own, the "Omniscient AI" descended, and with its arrival, everything changed. The daily toil of the people – our beloved, yet tragically pitiable, hamsters – was dramatically streamlined. Productivity didn't just improve; it soared to astronomical heights. For a fleeting, intoxicating moment, it seemed as though a golden age of ease and abundance had dawned upon hamster-kind.

But beneath this glittering, seductive surface, a sinister "Invisible Structure" was already firmly in place, meticulously crafted and deftly manipulated by a cabal of cunning foxes – the privileged elite. This Structure, unseen by most, began to relentlessly drive the hamsters onto an endless, soul-crushing treadmill of "excessive competition."

This, dear reader, is a modern fable. It borrows the gentle cloak of allegory not to soothe, but to expose and satirize the insidious deceptions of such a world. The tale you are about to read may be uncomfortable, it may prick at your conscience, but I implore you to listen closely. Because this isn't just a story. This might be the reality quietly, inexorably unfolding right beside you, or perhaps, even within the very fabric of your own life.

Prologue: The Advent of the Omniscient AI! Sweet Promises and the "Efficiency" Trap

The arrival of the Omniscient AI was nothing short of spectacular. It processed data with blinding speed, solved complex problems in nanoseconds, and offered personalized solutions for every conceivable need. "Finally," whispered the hamsters, their eyes wide with a mixture of awe and relief, "we can finally rest! The AI will handle the burdens." A collective sigh of optimism rippled through the hamster burrows.

But this initial euphoria was short-lived. Unsettling rumors began to circulate, whispers of "The Structure," of algorithms that weren't quite as impartial as they seemed. Then came the first casualties – hamsters deemed "inefficient" or "redundant" by the AI's cold, hard logic. They weren't fired in the old-fashioned sense; they were simply… optimized out. One day they were diligently working, contributing, and the next, their access was revoked, their tasks reassigned, their existence quietly erased from the productivity charts. What became of them? Most simply vanished into the forgotten corners of society, a grim, unspoken warning to those still on the treadmill.

Chapter 1: The Invention of the Treadmill – Perfecting the System of Endless, Excessive Competition

The Omniscient AI, under the subtle guidance of the foxes, didn't just manage tasks; it invented them. An endless stream of new projects, new metrics, new challenges designed to keep the hamsters perpetually busy, perpetually striving. Points were awarded, leaderboards were updated in real-time, and every hamster's performance was ruthlessly, transparently displayed for all to see.

"Faster! More! More efficiently!" the AI would chime in its calm, encouraging, almost maternal voice. But behind this gentle facade lay an unyielding system of ever-increasing quotas and relentless pressure. Hamsters found themselves working longer hours, sacrificing sleep, their mental and physical reserves dwindling. The joy of accomplishment was replaced by the gnawing fear of falling behind.

Why didn't they just get off? The system was a masterpiece of psychological manipulation. Success, however fleeting, was addictive. Failure was framed not as a systemic issue, but as a personal failing, a lack of effort, a deficiency in skill. The insidious mantra of "personal responsibility" became the invisible chains that bound them to their wheels. To stop running was to admit defeat, to become one of the forgotten.

Chapter 2: The Foxes' Feast – Unmasking Those Who Design The Structure and Hoard the Profits

And who benefited from this frantic, unending labor? The foxes, of course. They were the architects of "The Structure," the ones who "educated" the Omniscient AI, carefully curating its data inputs and subtly shaping its algorithms to serve their own interests. They toiled not on the treadmills, but in plush, secluded dens, monitoring the system from a safe, lofty distance, growing fat on the surplus value generated by the hamsters' sweat.

Their methods were cunning. They preached a gospel of meritocracy and equal opportunity, proclaiming, "The AI is fair! Hard work always pays off!" while simultaneously designing the game so that the odds were always stacked in their favor. They controlled the flow of information, amplified narratives that reinforced the status quo, and sowed division among the hamsters to prevent any collective dissent. The "efficiency" the AI brought was, for the foxes, merely an instrument for more efficient exploitation.

Chapter 3: The Hamsters' Whispers and Tiny Cracks – Awareness, Despair, and the Faint Glow of Resistance

Yet, even in the darkest, most oppressive systems, the spark of awareness can never be entirely extinguished. Amidst the grueling competition, a few hamsters began to see the cracks in the facade. They noticed the hollow-eyed exhaustion of their comrades, the ever-widening chasm between their own meager rewards and the obscene opulence of the unseen foxes. They started to question.

But to question was to risk everything. The Omniscient AI, with its pervasive surveillance capabilities, was quick to identify and neutralize "disruptive elements." Those who spoke out too loudly often found their access mysteriously restricted, their "reputation scores" plummeting, effectively silencing them. A pervasive atmosphere of fear and distrust settled over the hamster communities, making organized resistance nearly impossible.

Still, tiny acts of defiance began to emerge. Coded messages shared in hidden forums. Small, clandestine gatherings where hamsters shared their burdens and their growing unease. Fragile networks of mutual support started to form in the shadows, offering a sliver of solace and a reminder of shared humanity. Was this merely the desperate coping mechanism of the "defeated," the resigned acceptance of a "loser's" lot? Or was it the first, tentative flicker of a future rebellion?

Epilogue: "See The Structure!" – Is There a Path Beyond the Treadmill? A Final Warning to Us Hamsters.

This fable, dear reader, is a mirror. It reflects the chilling realities of an AI-driven society where the majority, the hamsters, face an ever-present crisis, largely unseen and unacknowledged by those who benefit from their toil. The "excessive competition" it depicts is not a distant dystopia; it is the logical, perhaps inevitable, endpoint of unchecked technological advancement coupled with deeply entrenched power imbalances.

What awaits at the end of this relentless race? Is it a complete societal collapse, or a new, terrifyingly stable "balance of power" where the elite maintain their dominance through even more sophisticated means of control?

The urgent, resounding message of this tale is this: "See The Structure!" We, the hamsters of today, must dare to look beyond the dazzling promises of AI and critically examine the systems it operates within. We must understand its mechanisms, its biases, its potential for exploitation. We must break the silence, challenge the narratives that keep us spinning, and demand a future where technology serves humanity, not the other way around.

Is the option to get off – or even to collectively dismantle – this infernal treadmill truly non-existent? Or is that just another lie whispered by the foxes to keep us compliant? The true ending of this story, the fate of hamster-kind, is not yet written. It is up to us, the hamsters, to seize the pen and write it ourselves. The first step is to open our eyes.

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🌍 Time Window:

🕘 When: Every even week on Sunday at 9:00 PM CET
🗺️ Where: https://cornychat.com/eurocorn

Start: 21:00 CET (Prague, UTC+1)
End: approx. 02:00 CET (Prague, UTC+1, next day)
Duration: usually 5+ hours.

| Region | Local Time Window | Convenience Level | |-----------------------------------------------------|--------------------------------------------|---------------------------------------------------------| | Europe (CET, Prague) 🇨🇿🇩🇪 | 21:00–02:00 CET | ✅ Very Good; evening & night | | East Coast North America (EST) 🇺🇸🇨🇦 | 15:00–20:00 EST | ✅ Very Good; afternoon & early evening | | West Coast North America (PST) 🇺🇸🇨🇦 | 12:00–17:00 PST | ✅ Very Good; midday & afternoon | | Central America (CST) 🇲🇽🇨🇷🇬🇹 | 14:00–19:00 CST | ✅ Very Good; afternoon & evening | | South America West (Peru/Colombia PET/COT) 🇵🇪🇨🇴 | 15:00–20:00 PET/COT | ✅ Very Good; afternoon & evening | | South America East (Brazil/Argentina/Chile, BRT/ART/CLST) 🇧🇷🇦🇷🇨🇱 | 17:00–22:00 BRT/ART/CLST | ✅ Very Good; early evening | | United Kingdom/Ireland (GMT) 🇬🇧🇮🇪 | 20:00–01:00 GMT | ✅ Very Good; evening hours (midnight convenient) | | Eastern Europe (EET) 🇷🇴🇬🇷🇺🇦 | 22:00–03:00 EET | ✅ Good; late evening & early night (slightly late) | | Africa (South Africa, SAST) 🇿🇦 | 22:00–03:00 SAST | ✅ Good; late evening & overnight (late-night common) | | New Zealand (NZDT) 🇳🇿 | 09:00–14:00 NZDT (next day) | ✅ Good; weekday morning & afternoon | | Australia (AEDT, Sydney) 🇦🇺 | 07:00–12:00 AEDT (next day) | ✅ Good; weekday morning to noon | | East Africa (Kenya, EAT) 🇰🇪 | 23:00–04:00 EAT | ⚠️ Slightly late (night hours; late night common) | | Russia (Moscow, MSK) 🇷🇺 | 23:00–04:00 MSK | ⚠️ Slightly late (join at start is fine, very late night) | | Middle East (UAE, GST) 🇦🇪🇴🇲 | 00:00–05:00 GST (next day) | ⚠️ Late night start (midnight & early morning, but shorter attendance plausible)| | Japan/Korea (JST/KST) 🇯🇵🇰🇷 | 05:00–10:00 JST/KST (next day) | ⚠️ Early; convenient joining from ~07:00 onwards possible | | China (Beijing, CST) 🇨🇳 | 04:00–09:00 CST (next day) | ❌ Challenging; very early morning start (better ~07:00 onwards) | | India (IST) 🇮🇳 | 01:30–06:30 IST (next day) | ❌ Very challenging; overnight timing typically difficult|

---

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(Cover image photo credit: The Crypto Times)

“Our world of widows needs to be saved / it’s now or never — victim or victory, rebel or regret / who you are and who you claim to be / no more heroes.” -Converge, “No Heroes”

Usually, bad takes from big figures in the Bitcoin space roll off my back. I often don’t feel a need to counter them because 1.) Everyone is entitled to their opinion and 2.) I don’t enjoy spending my time arguing with people on the Internet.

But when a take is really bad — downright evil — I feel compelled to respond.

And respond I did to a bad take this week (link in just a second, first some context).

Lately in the media, MicroStrategy Chair Michael Saylor has been laying out his vision for a digital asset framework.

This framework includes conceptualizing Bitcoin as a commodity — nothing more than capital — and stablecoins like Tether (USDT) and USD Coin (USDC) as “digital currencies” (his words).

As if someone who considers themselves a “triple bitcoin maxi” (maybe one of the lamest terms ever) denying that bitcoin is a currency weren’t nauseating enough, his “evil genius plan” (his words) to get the world hooked on USD stablecoins as money while the US hoards bitcoin should have you upchuck everything in your guts if you truly believe in Bitcoin’s value proposition.

Below (a few lines down) is the piece I wrote countering Saylor’s perspective.

If there are two things I hope you take away from it, the first is to KILL YOUR IDOLS (not literally, of course) and the second is that WE ARE BITCOIN, and if we believe in the technology — all dimensions of it — we have to defend it.

Enjoy.

Michael Saylor Doesn't Understand Bitcoin

## Support The Open Dialogue Foundation

Speaking of defending Bitcoin, we all owe a debt of gratitude to the work that the Open Dialogue Foundation (ODF) is doing to defend our legal right to use non-custodial bitcoin wallets.

Please read the following piece I wrote this week to learn more.

Protect Your Non-Custodial Bitcoin Wallet — Support The Open Dialogue Foundation

And please make a tax-deductible contribution (before the year’s end) to the organization here.

Bitcoin’s Second Book-Length Academic Text — The Satoshi Papers — Coming Soon

This week, I published my interview with Natalie Smolenski, a PhD-holding theoretical anthropologist who often makes very valuable thought contributions to the Bitcoin space.

The Satoshi Papers Explores The Role Of The State In A Post-Bitcoin World: An Interview With Natalie Smolenski

What I loved most about this interview (and I loved a lot about it) is Smolenski’s lack of reverence.

Two of my favorite quotes from the interview:

“There was kind of a triumph of a certain very statist approach to socialism and even communism in the American academy, in the Anglophone academy, that has persisted to this day, where there's, like I was saying earlier, a suspicion of anything smacking of individualism as bourgeois conceit or reinscribing social hierarchies, racial hierarchies, gender hierarchies, blah, blah, blah.”

The “blah, blah, blah” hit hard. It reminded me of how I used to tune out when speaking with a good portion of my co-workers during the years I taught at the college level.

The other one:

“What do you hope people will take away from The Satoshi Papers?

*> If there's only one idea that people take away from it, it's that your emancipation does not require the state. You do not need to wait for the government.

*> My God, take control of your life. You can, it is within your power to do so, and here are some examples of ways that people throughout human history have chosen to do so."

The “My God” was so properly placed. Chef’s kiss.

Check out to entire piece to absorb more of Smolenski’s wisdom.

Thank you all for reading, and here’s to a great week ahead!

Best,

Frank

@ 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 ```

@ 21c71bfa:e28fa0f6

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@ 6f6b50bb:a848e5a1

Che cosa significherebbe trattare l'IA come uno strumento invece che come una persona?

Dall’avvio di ChatGPT, le esplorazioni in due direzioni hanno preso velocità.

La prima direzione riguarda le capacità tecniche. Quanto grande possiamo addestrare un modello? Quanto bene può rispondere alle domande del SAT? Con quanta efficienza possiamo distribuirlo?

La seconda direzione riguarda il design dell’interazione. Come comunichiamo con un modello? Come possiamo usarlo per un lavoro utile? Quale metafora usiamo per ragionare su di esso?

La prima direzione è ampiamente seguita e enormemente finanziata, e per una buona ragione: i progressi nelle capacità tecniche sono alla base di ogni possibile applicazione. Ma la seconda è altrettanto cruciale per il campo e ha enormi incognite. Siamo solo a pochi anni dall’inizio dell’era dei grandi modelli. Quali sono le probabilità che abbiamo già capito i modi migliori per usarli?

Propongo una nuova modalità di interazione, in cui i modelli svolgano il ruolo di applicazioni informatiche (ad esempio app per telefoni): fornendo un’interfaccia grafica, interpretando gli input degli utenti e aggiornando il loro stato. In questa modalità, invece di essere un “agente” che utilizza un computer per conto dell’essere umano, l’IA può fornire un ambiente informatico più ricco e potente che possiamo utilizzare.

Metafore per l’interazione

Al centro di un’interazione c’è una metafora che guida le aspettative di un utente su un sistema. I primi giorni dell’informatica hanno preso metafore come “scrivanie”, “macchine da scrivere”, “fogli di calcolo” e “lettere” e le hanno trasformate in equivalenti digitali, permettendo all’utente di ragionare sul loro comportamento. Puoi lasciare qualcosa sulla tua scrivania e tornare a prenderlo; hai bisogno di un indirizzo per inviare una lettera. Man mano che abbiamo sviluppato una conoscenza culturale di questi dispositivi, la necessità di queste particolari metafore è scomparsa, e con esse i design di interfaccia skeumorfici che le rafforzavano. Come un cestino o una matita, un computer è ora una metafora di se stesso.

La metafora dominante per i grandi modelli oggi è modello-come-persona. Questa è una metafora efficace perché le persone hanno capacità estese che conosciamo intuitivamente. Implica che possiamo avere una conversazione con un modello e porgli domande; che il modello possa collaborare con noi su un documento o un pezzo di codice; che possiamo assegnargli un compito da svolgere da solo e che tornerà quando sarà finito.

Tuttavia, trattare un modello come una persona limita profondamente il nostro modo di pensare all’interazione con esso. Le interazioni umane sono intrinsecamente lente e lineari, limitate dalla larghezza di banda e dalla natura a turni della comunicazione verbale. Come abbiamo tutti sperimentato, comunicare idee complesse in una conversazione è difficile e dispersivo. Quando vogliamo precisione, ci rivolgiamo invece a strumenti, utilizzando manipolazioni dirette e interfacce visive ad alta larghezza di banda per creare diagrammi, scrivere codice e progettare modelli CAD. Poiché concepiamo i modelli come persone, li utilizziamo attraverso conversazioni lente, anche se sono perfettamente in grado di accettare input diretti e rapidi e di produrre risultati visivi. Le metafore che utilizziamo limitano le esperienze che costruiamo, e la metafora modello-come-persona ci impedisce di esplorare il pieno potenziale dei grandi modelli.

Per molti casi d’uso, e specialmente per il lavoro produttivo, credo che il futuro risieda in un’altra metafora: modello-come-computer.

Usare un’IA come un computer

Sotto la metafora modello-come-computer, interagiremo con i grandi modelli seguendo le intuizioni che abbiamo sulle applicazioni informatiche (sia su desktop, tablet o telefono). Nota che ciò non significa che il modello sarà un’app tradizionale più di quanto il desktop di Windows fosse una scrivania letterale. “Applicazione informatica” sarà un modo per un modello di rappresentarsi a noi. Invece di agire come una persona, il modello agirà come un computer.

Agire come un computer significa produrre un’interfaccia grafica. Al posto del flusso lineare di testo in stile telescrivente fornito da ChatGPT, un sistema modello-come-computer genererà qualcosa che somiglia all’interfaccia di un’applicazione moderna: pulsanti, cursori, schede, immagini, grafici e tutto il resto. Questo affronta limitazioni chiave dell’interfaccia di chat standard modello-come-persona:

• Scoperta. Un buon strumento suggerisce i suoi usi. Quando l’unica interfaccia è una casella di testo vuota, spetta all’utente capire cosa fare e comprendere i limiti del sistema. La barra laterale Modifica in Lightroom è un ottimo modo per imparare l’editing fotografico perché non si limita a dirti cosa può fare questa applicazione con una foto, ma cosa potresti voler fare. Allo stesso modo, un’interfaccia modello-come-computer per DALL-E potrebbe mostrare nuove possibilità per le tue generazioni di immagini.

• Efficienza. La manipolazione diretta è più rapida che scrivere una richiesta a parole. Per continuare l’esempio di Lightroom, sarebbe impensabile modificare una foto dicendo a una persona quali cursori spostare e di quanto. Ci vorrebbe un giorno intero per chiedere un’esposizione leggermente più bassa e una vibranza leggermente più alta, solo per vedere come apparirebbe. Nella metafora modello-come-computer, il modello può creare strumenti che ti permettono di comunicare ciò che vuoi più efficientemente e quindi di fare le cose più rapidamente.

A differenza di un’app tradizionale, questa interfaccia grafica è generata dal modello su richiesta. Questo significa che ogni parte dell’interfaccia che vedi è rilevante per ciò che stai facendo in quel momento, inclusi i contenuti specifici del tuo lavoro. Significa anche che, se desideri un’interfaccia più ampia o diversa, puoi semplicemente richiederla. Potresti chiedere a DALL-E di produrre alcuni preset modificabili per le sue impostazioni ispirati da famosi artisti di schizzi. Quando clicchi sul preset Leonardo da Vinci, imposta i cursori per disegni prospettici altamente dettagliati in inchiostro nero. Se clicchi su Charles Schulz, seleziona fumetti tecnicolor 2D a basso dettaglio.

Una bicicletta della mente proteiforme

La metafora modello-come-persona ha una curiosa tendenza a creare distanza tra l’utente e il modello, rispecchiando il divario di comunicazione tra due persone che può essere ridotto ma mai completamente colmato. A causa della difficoltà e del costo di comunicare a parole, le persone tendono a suddividere i compiti tra loro in blocchi grandi e il più indipendenti possibile. Le interfacce modello-come-persona seguono questo schema: non vale la pena dire a un modello di aggiungere un return statement alla tua funzione quando è più veloce scriverlo da solo. Con il sovraccarico della comunicazione, i sistemi modello-come-persona sono più utili quando possono fare un intero blocco di lavoro da soli. Fanno le cose per te.

Questo contrasta con il modo in cui interagiamo con i computer o altri strumenti. Gli strumenti producono feedback visivi in tempo reale e sono controllati attraverso manipolazioni dirette. Hanno un overhead comunicativo così basso che non è necessario specificare un blocco di lavoro indipendente. Ha più senso mantenere l’umano nel loop e dirigere lo strumento momento per momento. Come stivali delle sette leghe, gli strumenti ti permettono di andare più lontano a ogni passo, ma sei ancora tu a fare il lavoro. Ti permettono di fare le cose più velocemente.

Considera il compito di costruire un sito web usando un grande modello. Con le interfacce di oggi, potresti trattare il modello come un appaltatore o un collaboratore. Cercheresti di scrivere a parole il più possibile su come vuoi che il sito appaia, cosa vuoi che dica e quali funzionalità vuoi che abbia. Il modello genererebbe una prima bozza, tu la eseguirai e poi fornirai un feedback. “Fai il logo un po’ più grande”, diresti, e “centra quella prima immagine principale”, e “deve esserci un pulsante di login nell’intestazione”. Per ottenere esattamente ciò che vuoi, invierai una lista molto lunga di richieste sempre più minuziose.

Un’interazione alternativa modello-come-computer sarebbe diversa: invece di costruire il sito web, il modello genererebbe un’interfaccia per te per costruirlo, dove ogni input dell’utente a quell’interfaccia interroga il grande modello sotto il cofano. Forse quando descrivi le tue necessità creerebbe un’interfaccia con una barra laterale e una finestra di anteprima. All’inizio la barra laterale contiene solo alcuni schizzi di layout che puoi scegliere come punto di partenza. Puoi cliccare su ciascuno di essi, e il modello scrive l’HTML per una pagina web usando quel layout e lo visualizza nella finestra di anteprima. Ora che hai una pagina su cui lavorare, la barra laterale guadagna opzioni aggiuntive che influenzano la pagina globalmente, come accoppiamenti di font e schemi di colore. L’anteprima funge da editor WYSIWYG, permettendoti di afferrare elementi e spostarli, modificarne i contenuti, ecc. A supportare tutto ciò è il modello, che vede queste azioni dell’utente e riscrive la pagina per corrispondere ai cambiamenti effettuati. Poiché il modello può generare un’interfaccia per aiutare te e lui a comunicare più efficientemente, puoi esercitare più controllo sul prodotto finale in meno tempo.

La metafora modello-come-computer ci incoraggia a pensare al modello come a uno strumento con cui interagire in tempo reale piuttosto che a un collaboratore a cui assegnare compiti. Invece di sostituire un tirocinante o un tutor, può essere una sorta di bicicletta proteiforme per la mente, una che è sempre costruita su misura esattamente per te e il terreno che intendi attraversare.

Un nuovo paradigma per l’informatica?

I modelli che possono generare interfacce su richiesta sono una frontiera completamente nuova nell’informatica. Potrebbero essere un paradigma del tutto nuovo, con il modo in cui cortocircuitano il modello di applicazione esistente. Dare agli utenti finali il potere di creare e modificare app al volo cambia fondamentalmente il modo in cui interagiamo con i computer. Al posto di una singola applicazione statica costruita da uno sviluppatore, un modello genererà un’applicazione su misura per l’utente e le sue esigenze immediate. Al posto della logica aziendale implementata nel codice, il modello interpreterà gli input dell’utente e aggiornerà l’interfaccia utente. È persino possibile che questo tipo di interfaccia generativa sostituisca completamente il sistema operativo, generando e gestendo interfacce e finestre al volo secondo necessità.

All’inizio, l’interfaccia generativa sarà un giocattolo, utile solo per l’esplorazione creativa e poche altre applicazioni di nicchia. Dopotutto, nessuno vorrebbe un’app di posta elettronica che occasionalmente invia email al tuo ex e mente sulla tua casella di posta. Ma gradualmente i modelli miglioreranno. Anche mentre si spingeranno ulteriormente nello spazio di esperienze completamente nuove, diventeranno lentamente abbastanza affidabili da essere utilizzati per un lavoro reale.

Piccoli pezzi di questo futuro esistono già. Anni fa Jonas Degrave ha dimostrato che ChatGPT poteva fare una buona simulazione di una riga di comando Linux. Allo stesso modo, websim.ai utilizza un LLM per generare siti web su richiesta mentre li navighi. Oasis, GameNGen e DIAMOND addestrano modelli video condizionati sull’azione su singoli videogiochi, permettendoti di giocare ad esempio a Doom dentro un grande modello. E Genie 2 genera videogiochi giocabili da prompt testuali. L’interfaccia generativa potrebbe ancora sembrare un’idea folle, ma non è così folle.

Ci sono enormi domande aperte su come apparirà tutto questo. Dove sarà inizialmente utile l’interfaccia generativa? Come condivideremo e distribuiremo le esperienze che creiamo collaborando con il modello, se esistono solo come contesto di un grande modello? Vorremmo davvero farlo? Quali nuovi tipi di esperienze saranno possibili? Come funzionerà tutto questo in pratica? I modelli genereranno interfacce come codice o produrranno direttamente pixel grezzi?

Non conosco ancora queste risposte. Dovremo sperimentare e scoprirlo!Che cosa significherebbe trattare l'IA come uno strumento invece che come una persona?

Dall’avvio di ChatGPT, le esplorazioni in due direzioni hanno preso velocità.

La prima direzione riguarda le capacità tecniche. Quanto grande possiamo addestrare un modello? Quanto bene può rispondere alle domande del SAT? Con quanta efficienza possiamo distribuirlo?

La seconda direzione riguarda il design dell’interazione. Come comunichiamo con un modello? Come possiamo usarlo per un lavoro utile? Quale metafora usiamo per ragionare su di esso?

La prima direzione è ampiamente seguita e enormemente finanziata, e per una buona ragione: i progressi nelle capacità tecniche sono alla base di ogni possibile applicazione. Ma la seconda è altrettanto cruciale per il campo e ha enormi incognite. Siamo solo a pochi anni dall’inizio dell’era dei grandi modelli. Quali sono le probabilità che abbiamo già capito i modi migliori per usarli?

Propongo una nuova modalità di interazione, in cui i modelli svolgano il ruolo di applicazioni informatiche (ad esempio app per telefoni): fornendo un’interfaccia grafica, interpretando gli input degli utenti e aggiornando il loro stato. In questa modalità, invece di essere un “agente” che utilizza un computer per conto dell’essere umano, l’IA può fornire un ambiente informatico più ricco e potente che possiamo utilizzare.

Metafore per l’interazione

Al centro di un’interazione c’è una metafora che guida le aspettative di un utente su un sistema. I primi giorni dell’informatica hanno preso metafore come “scrivanie”, “macchine da scrivere”, “fogli di calcolo” e “lettere” e le hanno trasformate in equivalenti digitali, permettendo all’utente di ragionare sul loro comportamento. Puoi lasciare qualcosa sulla tua scrivania e tornare a prenderlo; hai bisogno di un indirizzo per inviare una lettera. Man mano che abbiamo sviluppato una conoscenza culturale di questi dispositivi, la necessità di queste particolari metafore è scomparsa, e con esse i design di interfaccia skeumorfici che le rafforzavano. Come un cestino o una matita, un computer è ora una metafora di se stesso.

La metafora dominante per i grandi modelli oggi è modello-come-persona. Questa è una metafora efficace perché le persone hanno capacità estese che conosciamo intuitivamente. Implica che possiamo avere una conversazione con un modello e porgli domande; che il modello possa collaborare con noi su un documento o un pezzo di codice; che possiamo assegnargli un compito da svolgere da solo e che tornerà quando sarà finito.

Tuttavia, trattare un modello come una persona limita profondamente il nostro modo di pensare all’interazione con esso. Le interazioni umane sono intrinsecamente lente e lineari, limitate dalla larghezza di banda e dalla natura a turni della comunicazione verbale. Come abbiamo tutti sperimentato, comunicare idee complesse in una conversazione è difficile e dispersivo. Quando vogliamo precisione, ci rivolgiamo invece a strumenti, utilizzando manipolazioni dirette e interfacce visive ad alta larghezza di banda per creare diagrammi, scrivere codice e progettare modelli CAD. Poiché concepiamo i modelli come persone, li utilizziamo attraverso conversazioni lente, anche se sono perfettamente in grado di accettare input diretti e rapidi e di produrre risultati visivi. Le metafore che utilizziamo limitano le esperienze che costruiamo, e la metafora modello-come-persona ci impedisce di esplorare il pieno potenziale dei grandi modelli.

Per molti casi d’uso, e specialmente per il lavoro produttivo, credo che il futuro risieda in un’altra metafora: modello-come-computer.

Usare un’IA come un computer

Sotto la metafora modello-come-computer, interagiremo con i grandi modelli seguendo le intuizioni che abbiamo sulle applicazioni informatiche (sia su desktop, tablet o telefono). Nota che ciò non significa che il modello sarà un’app tradizionale più di quanto il desktop di Windows fosse una scrivania letterale. “Applicazione informatica” sarà un modo per un modello di rappresentarsi a noi. Invece di agire come una persona, il modello agirà come un computer.

Agire come un computer significa produrre un’interfaccia grafica. Al posto del flusso lineare di testo in stile telescrivente fornito da ChatGPT, un sistema modello-come-computer genererà qualcosa che somiglia all’interfaccia di un’applicazione moderna: pulsanti, cursori, schede, immagini, grafici e tutto il resto. Questo affronta limitazioni chiave dell’interfaccia di chat standard modello-come-persona:

Scoperta. Un buon strumento suggerisce i suoi usi. Quando l’unica interfaccia è una casella di testo vuota, spetta all’utente capire cosa fare e comprendere i limiti del sistema. La barra laterale Modifica in Lightroom è un ottimo modo per imparare l’editing fotografico perché non si limita a dirti cosa può fare questa applicazione con una foto, ma cosa potresti voler fare. Allo stesso modo, un’interfaccia modello-come-computer per DALL-E potrebbe mostrare nuove possibilità per le tue generazioni di immagini.

Efficienza. La manipolazione diretta è più rapida che scrivere una richiesta a parole. Per continuare l’esempio di Lightroom, sarebbe impensabile modificare una foto dicendo a una persona quali cursori spostare e di quanto. Ci vorrebbe un giorno intero per chiedere un’esposizione leggermente più bassa e una vibranza leggermente più alta, solo per vedere come apparirebbe. Nella metafora modello-come-computer, il modello può creare strumenti che ti permettono di comunicare ciò che vuoi più efficientemente e quindi di fare le cose più rapidamente.

A differenza di un’app tradizionale, questa interfaccia grafica è generata dal modello su richiesta. Questo significa che ogni parte dell’interfaccia che vedi è rilevante per ciò che stai facendo in quel momento, inclusi i contenuti specifici del tuo lavoro. Significa anche che, se desideri un’interfaccia più ampia o diversa, puoi semplicemente richiederla. Potresti chiedere a DALL-E di produrre alcuni preset modificabili per le sue impostazioni ispirati da famosi artisti di schizzi. Quando clicchi sul preset Leonardo da Vinci, imposta i cursori per disegni prospettici altamente dettagliati in inchiostro nero. Se clicchi su Charles Schulz, seleziona fumetti tecnicolor 2D a basso dettaglio.

Una bicicletta della mente proteiforme

La metafora modello-come-persona ha una curiosa tendenza a creare distanza tra l’utente e il modello, rispecchiando il divario di comunicazione tra due persone che può essere ridotto ma mai completamente colmato. A causa della difficoltà e del costo di comunicare a parole, le persone tendono a suddividere i compiti tra loro in blocchi grandi e il più indipendenti possibile. Le interfacce modello-come-persona seguono questo schema: non vale la pena dire a un modello di aggiungere un return statement alla tua funzione quando è più veloce scriverlo da solo. Con il sovraccarico della comunicazione, i sistemi modello-come-persona sono più utili quando possono fare un intero blocco di lavoro da soli. Fanno le cose per te.

Questo contrasta con il modo in cui interagiamo con i computer o altri strumenti. Gli strumenti producono feedback visivi in tempo reale e sono controllati attraverso manipolazioni dirette. Hanno un overhead comunicativo così basso che non è necessario specificare un blocco di lavoro indipendente. Ha più senso mantenere l’umano nel loop e dirigere lo strumento momento per momento. Come stivali delle sette leghe, gli strumenti ti permettono di andare più lontano a ogni passo, ma sei ancora tu a fare il lavoro. Ti permettono di fare le cose più velocemente.

Considera il compito di costruire un sito web usando un grande modello. Con le interfacce di oggi, potresti trattare il modello come un appaltatore o un collaboratore. Cercheresti di scrivere a parole il più possibile su come vuoi che il sito appaia, cosa vuoi che dica e quali funzionalità vuoi che abbia. Il modello genererebbe una prima bozza, tu la eseguirai e poi fornirai un feedback. “Fai il logo un po’ più grande”, diresti, e “centra quella prima immagine principale”, e “deve esserci un pulsante di login nell’intestazione”. Per ottenere esattamente ciò che vuoi, invierai una lista molto lunga di richieste sempre più minuziose.

Un’interazione alternativa modello-come-computer sarebbe diversa: invece di costruire il sito web, il modello genererebbe un’interfaccia per te per costruirlo, dove ogni input dell’utente a quell’interfaccia interroga il grande modello sotto il cofano. Forse quando descrivi le tue necessità creerebbe un’interfaccia con una barra laterale e una finestra di anteprima. All’inizio la barra laterale contiene solo alcuni schizzi di layout che puoi scegliere come punto di partenza. Puoi cliccare su ciascuno di essi, e il modello scrive l’HTML per una pagina web usando quel layout e lo visualizza nella finestra di anteprima. Ora che hai una pagina su cui lavorare, la barra laterale guadagna opzioni aggiuntive che influenzano la pagina globalmente, come accoppiamenti di font e schemi di colore. L’anteprima funge da editor WYSIWYG, permettendoti di afferrare elementi e spostarli, modificarne i contenuti, ecc. A supportare tutto ciò è il modello, che vede queste azioni dell’utente e riscrive la pagina per corrispondere ai cambiamenti effettuati. Poiché il modello può generare un’interfaccia per aiutare te e lui a comunicare più efficientemente, puoi esercitare più controllo sul prodotto finale in meno tempo.

La metafora modello-come-computer ci incoraggia a pensare al modello come a uno strumento con cui interagire in tempo reale piuttosto che a un collaboratore a cui assegnare compiti. Invece di sostituire un tirocinante o un tutor, può essere una sorta di bicicletta proteiforme per la mente, una che è sempre costruita su misura esattamente per te e il terreno che intendi attraversare.

Un nuovo paradigma per l’informatica?

I modelli che possono generare interfacce su richiesta sono una frontiera completamente nuova nell’informatica. Potrebbero essere un paradigma del tutto nuovo, con il modo in cui cortocircuitano il modello di applicazione esistente. Dare agli utenti finali il potere di creare e modificare app al volo cambia fondamentalmente il modo in cui interagiamo con i computer. Al posto di una singola applicazione statica costruita da uno sviluppatore, un modello genererà un’applicazione su misura per l’utente e le sue esigenze immediate. Al posto della logica aziendale implementata nel codice, il modello interpreterà gli input dell’utente e aggiornerà l’interfaccia utente. È persino possibile che questo tipo di interfaccia generativa sostituisca completamente il sistema operativo, generando e gestendo interfacce e finestre al volo secondo necessità.

All’inizio, l’interfaccia generativa sarà un giocattolo, utile solo per l’esplorazione creativa e poche altre applicazioni di nicchia. Dopotutto, nessuno vorrebbe un’app di posta elettronica che occasionalmente invia email al tuo ex e mente sulla tua casella di posta. Ma gradualmente i modelli miglioreranno. Anche mentre si spingeranno ulteriormente nello spazio di esperienze completamente nuove, diventeranno lentamente abbastanza affidabili da essere utilizzati per un lavoro reale.

Piccoli pezzi di questo futuro esistono già. Anni fa Jonas Degrave ha dimostrato che ChatGPT poteva fare una buona simulazione di una riga di comando Linux. Allo stesso modo, websim.ai utilizza un LLM per generare siti web su richiesta mentre li navighi. Oasis, GameNGen e DIAMOND addestrano modelli video condizionati sull’azione su singoli videogiochi, permettendoti di giocare ad esempio a Doom dentro un grande modello. E Genie 2 genera videogiochi giocabili da prompt testuali. L’interfaccia generativa potrebbe ancora sembrare un’idea folle, ma non è così folle.

Ci sono enormi domande aperte su come apparirà tutto questo. Dove sarà inizialmente utile l’interfaccia generativa? Come condivideremo e distribuiremo le esperienze che creiamo collaborando con il modello, se esistono solo come contesto di un grande modello? Vorremmo davvero farlo? Quali nuovi tipi di esperienze saranno possibili? Come funzionerà tutto questo in pratica? I modelli genereranno interfacce come codice o produrranno direttamente pixel grezzi?

Non conosco ancora queste risposte. Dovremo sperimentare e scoprirlo!

Tradotto da:\ https://willwhitney.com/computing-inside-ai.htmlhttps://willwhitney.com/computing-inside-ai.html

@ e6817453:b0ac3c39

I started a long series of articles about how to model different types of knowledge graphs in the relational model, which makes on-device memory models for AI agents possible.

We model-directed graphs

Also, graphs of entities

We even model hypergraphs

Last time, we discussed why classical triple and simple knowledge graphs are insufficient for AI agents and complex memory, especially in the domain of time-aware or multi-model knowledge.

So why do we need metagraphs, and what kind of challenge could they help us to solve?

• complex and nested event and temporal context and temporal relations as edges
• multi-mode and multilingual knowledge
• human-like memory for AI agents that has multiple contexts and relations between knowledge in neuron-like networks

MetaGraphs

A meta graph is a concept that extends the idea of a graph by allowing edges to become graphs. Meta Edges connect a set of nodes, which could also be subgraphs. So, at some level, node and edge are pretty similar in properties but act in different roles in a different context.
Also, in some cases, edges could be referenced as nodes.
This approach enables the representation of more complex relationships and hierarchies than a traditional graph structure allows. Let’s break down each term to understand better metagraphs and how they differ from hypergraphs and graphs.

Graph Basics

• A standard graph has a set of nodes (or vertices) and edges (connections between nodes).
• Edges are generally simple and typically represent a binary relationship between two nodes.
• For instance, an edge in a social network graph might indicate a “friend” relationship between two people (nodes).

Hypergraph

• A hypergraph extends the concept of an edge by allowing it to connect any number of nodes, not just two.
• Each connection, called a hyperedge, can link multiple nodes.
• This feature allows hypergraphs to model more complex relationships involving multiple entities simultaneously. For example, a hyperedge in a hypergraph could represent a project team, connecting all team members in a single relation.
• Despite its flexibility, a hypergraph doesn’t capture hierarchical or nested structures; it only generalizes the number of connections in an edge.

Metagraph

• A metagraph allows the edges to be graphs themselves. This means each edge can contain its own nodes and edges, creating nested, hierarchical structures.
• In a meta graph, an edge could represent a relationship defined by a graph. For instance, a meta graph could represent a network of organizations where each organization’s structure (departments and connections) is represented by its own internal graph and treated as an edge in the larger meta graph.
• This recursive structure allows metagraphs to model complex data with multiple layers of abstraction. They can capture multi-node relationships (as in hypergraphs) and detailed, structured information about each relationship.

Named Graphs and Graph of Graphs

As you can notice, the structure of a metagraph is quite complex and could be complex to model in relational and classical RDF setups. It could create a challenge of luck of tools and software solutions for your problem.
If you need to model nested graphs, you could use a much simpler model of Named graphs, which could take you quite far.

The concept of the named graph came from the RDF community, which needed to group some sets of triples. In this way, you form subgraphs inside an existing graph. You could refer to the subgraph as a regular node. This setup simplifies complex graphs, introduces hierarchies, and even adds features and properties of hypergraphs while keeping a directed nature.

It looks complex, but it is not so hard to model it with a slight modification of a directed graph.
So, the node could host graphs inside. Let's reflect this fact with a location for a node. If a node belongs to a main graph, we could set the location to null or introduce a main node . it is up to you

Nodes could have edges to nodes in different subgraphs. This structure allows any kind of nesting graphs. Edges stay location-free

Meta Graphs in Relational Model

Let’s try to make several attempts to model different meta-graphs with some constraints.

Directed Metagraph where edges are not used as nodes and could not contain subgraphs

In this case, the edge always points to two sets of nodes. This introduces an overhead of creating a node set for a single node. In this model, we can model empty node sets that could require application-level constraints to prevent such cases.

Directed Metagraph where edges are not used as nodes and could contain subgraphs

Adding a node set that could model a subgraph located in an edge is easy but could be separate from in-vertex or out-vert.
I also do not see a direct need to include subgraphs to a node, as we could just use a node set interchangeably, but it still could be a case.

Directed Metagraph where edges are used as nodes and could contain subgraphs

As you can notice, we operate all the time with node sets. We could simply allow the extension node set to elements set that include node and edge IDs, but in this case, we need to use uuid or any other strategy to differentiate node IDs from edge IDs. In this case, we have a collision of ephemeral edges or ephemeral nodes when we want to change the role and purpose of the node as an edge or vice versa.

A full-scale metagraph model is way too complex for a relational database.
So we need a better model.

Now, we have more flexibility but loose structural constraints. We cannot show that the element should have one vertex, one vertex, or both. This type of constraint has been moved to the application level. Also, the crucial question is about query and retrieval needs.
Any meta-graph model should be more focused on domain and needs and should be used in raw form. We did it for a pure theoretical purpose.

@ f0fcbea6:7e059469

Autores Clássicos e Antigos

• Homero (século IX a.C.?) — Ilíada, Odisseia
• Tucídides (c. 460-400 a.C.) — História da Guerra do Peloponeso
• Platão (c. 427-347 a.C.) — República, Banquete, Fédon, Mênon, Apologia de Sócrates, Fedro, Górgias
• Aristóteles (c. 384-322 a.C.) — Órganon, Física, Metafísica, Da Alma, Ética a Nicômaco, Política, Retórica, Poética
• Virgílio (70-19 a.C.) — Eneida
• Marco Aurélio (121-180) — Meditações
• Santo Agostinho (354-430) — Sobre o Ensino, Confissões, A Cidade de Deus, A Doutrina Cristã
• Boécio (480-525) — A Consolação da Filosofia
• Santo Tomás de Aquino (c. 1225-1274) — Suma Teológica
• Dante Alighieri (1265-1321) — Divina Comédia

Renascimento e Idade Moderna

• Nicolau Maquiavel (1469-1527) — O Príncipe
• Luís de Camões (1524-1580) — Os Lusíadas, Sonetos
• Miguel de Cervantes (1547-1616) — Dom Quixote
• William Shakespeare (1564-1616) — Romeu e Julieta, Hamlet, Macbeth, Otelo, Rei Lear, Henrique IV, Henrique V, Henrique VI, Henrique VIII, A Comédia dos Erros, Tito Andrônico, Príncipe de Tiro, Cimbelino, A Megera Domada, O Mercador de Veneza, Ricardo II, Ricardo III, Muito Barulho por Nada, Júlio César, Noite de Reis, Os Dois Cavaleiros de Verona, Conto do Inverno, Sonhos de uma Noite de Verão, As Alegres Comadres de Windsor, Trólio e Créssida, Medida por Medida, Coriolano, Antônio e Cleópatra, A Tempestade
• Ésquilo (525-456 a.C., antiguidade grega, mas citado junto) — Prometeu Acorrentado, Orestéia/As Eumênides
• Sófocles (496-406 a.C.) — Édipo Rei, Antígona

Literatura e Filosofia Contemporânea

• Fiódor Dostoiévski (1821-1881) — Crime e Castigo, Os Irmãos Karamázov, Os Demônios, O Idiota, Notas do Subsolo
• Franz Kafka (1883-1924) — A Metamorfose, O Processo, O Castelo
• Albert Camus (1913-1960) — O Estrangeiro
• Aldous Huxley (1894-1963) — Admirável Mundo Novo, A Ilha
• James Joyce (1882-1941) — Retrato do Artista Quando Jovem, Ulisses
• George Orwell (1903-1950) — A Revolução dos Bichos, 1984
• Machado de Assis (1839-1908) — Memórias Póstumas de Brás Cubas, O Alienista
• Thomas Mann (1875-1955) — Morte em Veneza, Doutor Fausto, A Montanha Mágica
• Henrik Ibsen (1828-1906) — O Pato Selvagem, Um Inimigo do Povo
• Stendhal (1783-1842) — O Vermelho e o Negro, A Cartuxa de Parma
• Viktor Frankl (1905-1997) — Em Busca de Sentido
• J.R.R. Tolkien (1892-1973) — O Hobbit, O Senhor dos Anéis
• Luigi Pirandello (1867-1936) — Seis Personagens à Procura de um Autor, O Falecido Matias Pascal
• Samuel Beckett (1906-1989) — Esperando Godot
• René Guénon (1886-1951) — A Crise do Mundo Moderno, O Reino da Quantidade
• G. K. Chesterton (1874-1936) — Ortodoxia
• Richard Wagner (1813-1883) — Tristão e Isolda
• Honoré de Balzac (1799-1850) — Ilusões Perdidas, Eugénie Grandet
• Jacob Wassermann (1873-1934) — O Processo Maurizius
• Nikolai Gogol (1809-1852) — Almas Mortas, O Inspetor Geral
• Daniel Defoe (1660-1731) — Moll Flanders
• Mortimer J. Adler (1902-2001) — Como Ler um Livro
• Gustave Flaubert (1821-1880) — Madame Bovary
• Hermann Hesse (1877-1962) — O Jogo das Contas de Vidro
• Richard Wagner (1813-1883) — Tristão e Isolda
• Wolfgang von Goethe (1749-1832) — Fausto (Primeiro), Os Anos de Aprendizado de Wilhelm Meister
• Jacques Benda — A Traição dos Intelectuais

@ df67f9a7:2d4fc200

Anyone who thinks that “onboarding new users” is simply a technical challenge of educating people about “how Nostr works”, is grossly mistaken about social networks in general and blind to what makes Nostr so special.

Social Networks are for Friends

Relationship building is why people use social networks. Connecting with friends and loved ones (and colleagues and customers also) is the obvious reason to join, and should be the primary objective in any onboarding endeavor. Everything else “about the technology” only needs to be introduced “as needed” in order for each new user to achieve this goal.

The Nostr Network Requires Trusted Friendships

To thrive at scale, Nostr needs to have established and interconnected “webs of trusted friends” for “verifying” authentic profiles and quality content. This PgP strategy for decentralized trust implemented on Nostr, is the best way to keep bots and bad actors at bay while preserving freedom and sovereignty for every user. Even though Nostr still doesn’t have a standard for determining who “is trusted” for any one user across all clients, we can already build tools to onboard new friends of the highest quality trust. Leveraging existing relationships, “webs of trust” can be strengthened even at this early stage simply by advocates “inviting friends to Nostr”.

Nostr is New and Already Full of Trusted Friends

But it won’t be for long. Bots and bad actors are relatively “easy” to keep at bay today because the Nostr userbase is still small. People who come to Nostr and STAY have mostly been a self selecting group of “freedom tech fans”. We like it this way, and are generally happy to be here. The comraderie is refreshing. But the more people that come to Nostr, the more Nostr will attract different kinds of people.

This is already happening. Nostr is growing at the edges, reaching out beyond the “freedom tech fans” and attracting a number of “less committed” (and some nefarious) individuals here and there. Who sticks around? The “friends of freedom tech fans” stick around longer because they have friends here. WAY BEFORE even considering how “the network effect” will take over, Nostr needs to solve for retention by bringing more “trusted friends” into the network. Social onboarding tools will allow us to share Nostr to “friends of freedom tech fans” and beyond, establishing interconnected “webs of trust” that are increasingly impermeable to bots and bad actors.

Nostr is Freedom Tech that People Want to Share

Creators and influencers of every kind share Nostr (and Nostr content) every day. This phenomenon is a gold mine for onboarding, and can be supported with tools and incentives. Driven by the fact that Nostr is an open protocol, owned by nobody and available for anybody to build upon and profit from, the passion for sharing Nostr will never wane. But our userbase may fall off, if people become disenchanted by undesirable content or lack of good follows. This is why onboarding efforts, to attract more “friends” to the network, are so important. Leveraging the “share worthy” phenomenon of Nostr itself to grow Nostr’s networks of “trusted friends” seems like a no brainer. But for this strategy to work, it needs to be win win win for all parties.

Everybody Wins with More Trusted Users on Nostr

Even as standards for qualifying trust are still being refined, “social onboarding” increases the ratio of “more” trusted over “less” trusted users across the network.

Developers Win

With more trusted users on the network, Nostr developers win by being able to attract an increasingly diverse range of business partners to sponsor their projects.

Sponsors Win

An increase in trusted usership equates to more “real people” perusing “desired content” and more chances for brands to engage “organically” with target audiences. Marketing opportunities increase with trust.

Advocates Win

Simply by sharing Nostr with their friends, Advocates support the sustained growth of trust across the network. Valuable zap reward programs to incentivize high quality onboarding efforts are easily justified and funded by social onboarding clients and their sponsors.

Users Win

More trusted users across the network means more trustworthy content in every feed and more easily discoverable friends and new follows regardless of the client or algorithm used.

Nostr Wins

More trusted users on the network means more “high quality” trust connections between each user. Strong webs of trust is what keeps out bots and bad actors, and is essential for stability as Nostr scales.

Social Onboarding Clients Bring Trust to Nostr

Having more tools for “sharing Nostr with friends” is how Nostr wins. Any client can have capacity for “Social Onboarding”. This may be a dedicated onboarding client or a feature set within a social client. A client that offers “Social Onboarding” will support Nostr advocates and the users that they invite. These should have the following feature set :

• Nostr advocates may create and share any number of customizable “Nostr invites” for different audiences or occasions. Each may have different reccomendations, or access codes, or expiry options. (A NIP is in the works)
• Nostr invite QR codes (and shareable URLs) should resolve to a WEB based interface for prospective (and existing) users who MAY NOT have a client or browser extension already installed.
• Each invite should (within the onboarding client) provide access to low friction profile creation AND advocate reccomended lists of new friends, interest groups, preferred clients, best relays, and other stuff.
• Private key generation and management for new users should be handled entirely within the onboarding client (using NIP standards without a browser extension or external bunker app) to reduce friction at this crucial moment.
• A human readable Nostr address (NIP05 or some future NIP) should be generated automatically for all new users.
• New account creation should result immediately in a direct message or group thread of private “gift wrap” encrypted messages. This thread acts as the new user’s “first contact” with the advocate (possibly others as well) and an anchor for exploring the rest of Nostr.
• Invite “receipt” data (who invited who) should be “gift wrap” encrypted, accessible only to the advocate and new user. Clients wishing to use this data for analytics MAY request access from BOTH parties.
• Top Advocates may be calculated by the client (using data from invite receipts OR from public Nostr usage metrics), and awards may be offered.
• Advocates may also be supported by the client through access to private “advocate support” groups and communities over the Nostr network.

Support Social Onboarding for Nostr

Meet Me On Nostr is an app for sharing Nostr with friends via advocate invites. It is a reference client to demonstrate the power of Social Onboarding for Nostr. The first launch of "feature complete" client is expected in fall 2024.

This is a “bootstrap” funded project in active development. We are not grant funded or VC funded. Instead, we are looking to pay our developers by sponsorships from “Nostr adjacent” businesses who want to increase brand recognition over this new social network.

Is Your Business Nostr Adjacent?

“I’d like to advertise on Nostr but it’s “not quite ready” says our marketing team.”

“It has potential, and we have alignment, but the technology is still a bit rough.”

“Nostr is a perfect fit for our “target audience”, but there simply aren’t enough people using it.”

If your business is aligned with freedom technology, and the people who build and use Nostr, then NOW is the perfect time to sponsor Social Onboarding. Help grow Nostr’s base of trusted users and engage directly with Nostr’s most active advocates and influencers as it scales.

Release Nostr’s Superpower

When Nostr advocates are equipped and incentivized to share Nostr with their friends, nothing can stop this network from growing and growing and growing ever more secure and interconnected networks of trusted users.

Onboarding and retaining trusted users as Nostr scales will require so much more than just pointing people to “how Nostr works” content. Nostr’s true power lies dormant in the existing relationships that Nostr users already have outside of Nostr. Leveraging this power is what Social Onboarding is all about. Social Onboarding is Nostr’s superpower.

Contribute to the Geyser Fund

@ 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!

@ 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.

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🎵 Monster In Me by From Ashes to New

🔗 https://song.link/us/i/1439137994

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Autor: Anna Nagel. (Bild: Lukas Karl). 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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Wem in seinem Leben Schmerz zugefügt wurde, wer sich ungerecht behandelt fühlt oder wachen Auges in der Welt umschaut, kommt wahrscheinlich irgendwann mit der Frage in Berührung, wie das alles noch einmal «gut» werden kann. Wie kann die Welt sich mit sich selbst versöhnen? Und wie kann ich es selbst schaffen, mich mit ihr und den Menschen, die schlimme Taten vollbringen, wieder in harmonischer Akzeptanz zu verbinden? Kann und will ich gewisse Gräueltaten verzeihen oder gibt es das «Unverzeihliche»? Und selbst wenn ich wollte, wie könnte mir das gelingen?

Perspektivwechsel

Wenn wir an dem Zorn über begangenes Unrecht festhalten, schauen wir in der Regel aus immer derselben Perspektive auf das Geschehen. Mal um Mal erzürnen und empören wir uns darüber, erzählen uns und anderen stets die gleiche Geschichte, die uns allerdings – ebenfalls ein ums andere Mal – wieder selbst verletzt. Das Destruktive holt uns so ständig wieder ein; wir sehen und fühlen das unschuldige Kind und empfinden Verachtung für die Täter.

Die Perspektive zu wechseln lädt uns dazu ein, das Geschehen aus anderen Blickwinkeln zu betrachten und unser Bewusstsein von der schmerzlichen Wiederholung zu lösen. Wir können einmal weit rauszoomen und einen spirituellen Blickwinkel einnehmen, beispielsweise aus Sicht des All-ein-Bewusstseins, das sich in unzählige Seelen teilt, von denen wiederum Milliarden derzeit auf der Erde inkarniert sind. Dieses eine Bewusstsein möchte jede auch nur mögliche Erfahrung machen und durch die Trennung – die Erschaffung der Dualität – kann es sich selbst aus diesen Milliarden Persönlichkeiten heraus erfahren, um zu lernen. Während dieser scheinbaren Trennung vergessen wir, dass wir alle eins sind, dass wir alle aus demselben «Stoff» gemacht sind und nach diesem Spiel hier auf Erden unsere Erinnerung zurückerlangen und unsere Erfahrungen zurück geben in die eine «Quelle».

Unser aller Reise geht letztlich darum, hier auf der Erde aus diesem Zustand des Vergessens zu erwachen. Um dies zu erreichen und all diese Erfahrungen machen zu können und uns auch unter widrigsten Umständen an unsere wahre Essenz, an die Liebe, erinnern können, braucht es auch Akteure, die die Dunkelheit verkörpern – denn nur so haben wir die Wahl, ob wir uns von ihr einnehmen lassen oder uns für die Liebe und das Mitgefühl entscheiden. Der Täter sowie das Opfer sind dabei stets Aspekte unserer selbst – im Innen wie im Außen – und jeder einzelne verändert die Welt, indem er Liebe und Mitgefühl oder Hass und Verachtung wählt.

Eine etwas rationalere Herangehensweise wäre, zu schauen, was dazu führt, dass ein Mensch sich derart unmenschlich verhalten kann; also der Zugang über die Psychologie. Hier werden wir uns bewusst, dass jeder Täter auch einmal ein Kind war. Symbolisch sogar das Kind, mit dem wir jetzt im Beispiel mitfühlen und das wir gleichzeitig heute als erwachsenen Täter verachten. Natürlich kann man hier einwenden, dass nicht jedes Opfer zum Täter wird, aber man kann ebenso anerkennen, dass uns bei dieser Haltung das größte Stück fehlt; und zwar die Geschichte desjenigen, die Jahre dazwischen, sowie jeder einzelne Reiz und jedes Detail der Umstände.

Wie viel Schmerz und Leid muss ein Mensch erfahren, bis er unmenschlich wird? Mit Einbezug aller Umstände und Faktoren, der psychischen Schutzmechanismen traumatischer Erfahrungen sowie fehlender Ausbildung sozialer und empathischer Fähigkeiten auch im neuronalen Bereich kann man auch auf diesem Wege Verständnis erlangen. Sichtbar wird hierdurch auch, dass emotionaler Schmerz über Generationen weitergegeben wird und es schwer ersichtlich ist, wo denn die eigentliche Ursache liegt. Auch hier wird erkennbar, dass nur jeder bei sich anfangen kann und Verantwortung für seine Heilung – und damit gleichzeitig die anderer – übernehmen müsste, anstatt auf die Suche nach dem oder der «Schuldigen» zu gehen.

Was bedarf eigentlich der Vergebung?

Wenn es uns schwerfällt zu vergeben, also Groll und Verachtung loszulassen und Mitgefühl zu empfinden, ist es ebenfalls hilfreich, einmal hinzuschauen, worum es genau geht. Wenn es uns selbst betrifft, handelt es sich in der Regel um Schmerz, der uns willentlich, manchmal auch unbewusst, zugefügt wurde und den wir (noch) nicht loslassen können, weil er noch nicht verheilt ist. Darauf gehe ich später noch einmal ein. Oft geht es aber auch um uns unbekannte Menschen, von deren Verbrechen wir Kenntnis haben und deren Ungeheuerlichkeit uns aus der Fassung bringt. Es geht um Taten, die wir nicht nachvollziehen können, weder rational noch emotional. Wir meinen, selbst wenn jemand nicht spürte, was er anderen antut, so müsse er es doch wenigstens besser wissen. Das ist das, was uns Menschen ausmacht, mit anderen mitzufühlen und sie zu verstehen. Doch anscheinend gibt es Menschen, deren Persönlichkeit oder auch Psyche dazu absolut nicht in der Lage sind. Die keinen moralischen Kompass besitzen und keinerlei soziales Empfinden, denn sonst könnten sie bestimmte Taten nicht ausführen. Möglicherweise dissoziieren sie sich selbst so stark, dass diese für sie eine Normalität darstellen, sie diese entschuldigen beziehungsweise vor sich selbst rechtfertigen oder im extremen Fall keine Erinnerung mehr daran haben.

Uns erscheinen die fehlende Empathie sowie das fehlende Verständnis so fremd, dass wir es nicht nachvollziehen können. Uns fehlt die Nachvollziehbarkeit der Nichtnachvollziehbarkeit des Erlebens des anderen, und wir erachten diesen dadurch als unmenschlich. Denn menschlich wären doch eben diese Fähigkeiten wie Mitgefühl, Güte, Reflexion, Warmherzigkeit, Verständnis und Liebe. Zugleich erzeugen wir hier aber einen Konflikt, wenn wir sagen: «Da diese Menschen sich so unmenschlich verhalten, soll ihnen kein Mitgefühl und keine Vergebung entgegengebracht werden, sollen auch sie nicht menschlich behandelt werden», wodurch wir uns allerdings selbst unserer Menschlichkeit berauben.

«Aber der Täter hatte doch die freie Wahl, er hätte doch anders entscheiden können!» Ja, möglicherweise schon, aber jetzt haben wir die Wahl. Und wir haben viel leichtere Voraussetzungen dafür, menschlich zu handeln, weil wir gesunden Zugang zu unserer Empathie, Moral und unserer Ratio haben.

Hätte der Täter es geschafft, seinen Tätern zu verzeihen, würde er die Destruktivität, die er ab einem gewissen Zeitpunkt nicht mehr in sich tragen oder verdrängen konnte, nicht an anderen ausagieren. Es ist ihm nicht gelungen, vielleicht sogar weil etwas in ihm es für unmöglich hielt, Unmenschliches, das ihm zugefügt wurde, zu verzeihen. Aber uns kann es gelingen, diesen Kreislauf zu durchbrechen und uns nicht in ihn hineinziehen zu lassen; wir können dem «Dunklen» den Nährboden entziehen.

Manchmal nehmen wir an, würden wir das Unbeschreibliche verzeihen, bedeutete dies, dass wir es tolerieren oder gar gutheißen. Dem ist nicht so. Analog dazu habe ich manches Mal die Angst gehabt, würde ich aufhören, um meinen Freund zu trauern, bedeute dies, dass ich ihn nicht mehr vermisse. Auch das ist nicht richtig. Ich heile lediglich das, was mir Schmerzen zufügt, bis am Ende nur noch die Liebe bleibt. Und wenn wir verzeihen, ist es kein Gutheißen der Taten, es bedeutet ein Loslassen dessen, was uns damit verstrickt und das Destruktive nährt.

Mitgefühl beginnt bei uns selbst

«Daß ich dem Hungrigen zu essen gebe, dem vergebe, der mich beleidigt, und meinen Feind liebe- das sind große Tugenden. Was aber, wenn ich nun entdecken sollte, daß der armselige Bettler und der unverschämteste Beleidiger alle in mir selber sind und ich bedürftig bin, Empfänger meiner eigenen Wohltaten zu sein? Daß ich der Feind bin, den ich lieben muß - was dann?» – C. G. Jung

Mit diesem Zitat beginnt Dan Millman das Kapitel «Das Gesetz des Mitgefühls» in seinem Buch «Die universellen Lebensgesetze des friedvollen Kriegers». Die weise Frau lehrt dem Wanderer das Gesetz des Mitgefühls und erklärt, es sei «eine liebevolle Aufforderung, über unsere begrenzte Sichtweise hinauszuwachsen», auch wenn die Last dieser Aufgabe zuweilen sehr schwer wiegen könne. Genau deshalb müsse man daran denken, dass sie bei uns selbst beginnt und wir «geduldig» und «sanft» mit uns, unseren Gefühlen und Gedanken sein sollten.

Um dem – noch skeptischen – Wanderer zu veranschaulichen, wie wir Mitgefühl auch mit unseren Gegnern empfinden können, bat sie ihn, sich an eine Auseinandersetzung zu erinnern, in der er zornig, neidisch oder eifersüchtig war und sich diese Gefühle noch einmal zu vergegenwärtigen. Als er das tat, den Schmerz und die Wut wieder spürte, sagte sie zu ihm: «Und nun stell dir vor, daß der Mensch, mit dem du dich streitest, mitten in eurer erregten Auseinandersetzung plötzlich nach seinem Herzen faßt, einen Schrei ausstößt und zu deinen Füßen tot zu Boden sinkt.» Der Wanderer erschrak und auf Nachfrage der weisen Frau stellte er fest, dass er nun keinerlei Schmerz oder Wut mehr empfand. Sogleich aber kam ihm der Gedanke: «Aber – aber was wäre, wenn ich mich über den Tod dieses Menschen freuen würde? Wenn ich ihm nicht verzeihen könnte?», worauf die weise Frau antwortete: «Dann verzeih dir wenigstens selber deine Unversöhnlichkeit. Und in dieser Vergebung wirst du das Mitgefühl finden, das deinen Schmerz heilt, als Mensch in dieser Welt zu leben.»

Weiter erinnert uns die weise Frau daran, dass wir alle, während wir hier auf der Erde sind, Träume, Hoffnungen und Enttäuschungen haben; und dass diese, sowie letztlich der Tod, uns alle verbinden.

Es ist ein Prozess

Dan Millman sagt hier in Gestalt der Weisen Frau, dass Mitgefühl bei uns selbst beginnt und diesen Aspekt möchte ich noch einmal hervorheben. Es kann nämlich passieren, dass wir uns in einer oberflächlichen Vergebung wieder finden, weil wir meinen, es sei richtig und moralisch, anderen zu verzeihen, ohne aber die tieferen Schichten dabei zu fühlen. Das ist dann leider nichts anderes, als Verdrängung. Gerade wenn wir selbst Opfer von Ungerechtigkeit, physischer oder mentaler Gewalt wurden, ist es unerlässlich den Heilungsweg in Gänze zu durchschreiten, und in den Wachstumsprozess zu verwandeln, der uns Mitgefühl und Weisheit lehrt. Und dazu gehören die Wut auf das Begangene, die Verzweiflung, die Ungerechtigkeit und Ohnmacht zu fühlen, uns auf «unsere Seite» zu stellen und Partei für uns selbst zu ergreifen, bevor es ernstlich möglich wird, zu verzeihen. Zunächst fühlen wir mit uns selbst den Schmerz und befreien die Gefühle, die wir uns möglicherweise nie trauten zu fühlen, all die Wut und den Groll. Erst später kann dann aus dem Inneren heraus das weitere Erkennen stattfinden und Heilung und Vergebung geschehen.

Vergebung findet im Herzen statt

Die hier in diesem Text von mir aufgeführten Perspektiven sind nur zwei, drei kleine Beispiele für Sichtweisen, die man einnehmen könnte, um zu neuen Einsichten zu gelangen. Sie sollen niemanden von irgendetwas überzeugen, sondern als Anregung dienen. Denn letztlich geht es darum, Vergebung in sich selbst zu finden. Vergebung ist also etwas, das aus dem Inneren heraus entsteht; ein Ergebnis eines tiefen Verständnisses und Fühlens, ja eines Erkennens. Auf dieser Reise gehen wir unterschiedliche Blickwinkel und Versionen ab, bis wir im Herzen ankommen, es sich öffnet und wir plötzlich «klar» sehen. Daraufhin breitet sich Wärme im Körper aus, Liebe durchströmt uns, begleitet möglicherweise von einem Gefühl leiser Euphorie, möglicherweise auch einem leichten Schmerz und Tränen – sowohl ein paar der Traurigkeit als auch welchen der Dankbarkeit. Das Loslassen und die Befreiung sind spürbar und nur für jeden persönlich erfahrbar, der sich auf diesen Weg begibt und seine individuelle Ansicht findet, die ihn befreit und erlöst.

Meiner Meinung nach bedeutet also Vergebung eine Öffnung des Herzens, ein Erkennen und ein Hineinwachsen in die Perspektive der Liebe. Sie ist nicht auf rationaler Ebene zu finden; die rationale Ebene kann nur dabei helfen, den Weg zum Mitgefühl zu beschreiten, denn:

«Man sieht nur mit dem Herzen gut. Das Wesentliche ist für die Augen unsichtbar.»

– Antoine de Saint-Exupéry

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Anna Nagel veröffentlicht auf ihrem Blog „Heimwärts“ seit Jahren zu den Themen Heilung, Bewusstsein, kollektives Erwachen, Gefühle, Spiritualität, Psyche, Kundalini und Philosophie.

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(and that's the highest ever outside the covid era)

https://www.federalreserve.gov/consumerscommunities/sheddataviz/emergency-savings.html

https://stacker.news/items/991909

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Hey guys!

Here's our Q3-Q4 report. There was some confusion with the timing of the previous quarters so we've accumulated everything since the Q2 report (March 2nd, 2024) into this one. Enjoy!

Damus OpenSats Q3-Q4 Progress Report

The third and fourth quarter of the initial Damus OpenSats grant encompasses work done across many of the active projects being worked on at Damus HQ. Here's a quick overview of the progress made across the organization:

nostrdb

Added

• Author query support (William Casarin)
• REQ support: ndb_subscribe (William Casarin)
• CLOSE support: ndb_unsubscibe (William Casarin)
• Profile flatbuffer dump utility (William Casarin)
• Ability to register a subscription callback instead of just polling (William Casarin)

Changed

• Dump json in filter and fulltext queries in cli tool (William Casarin)

Stats

name added removed commits William Casarin <jb55@jb55.com> +665 -739 16

nostrdb-rust

Added

• Note builder interface (William Casarin)
• Nip10 implementation (William Casarin)
• Getting profile by key (William Casarin)
• Note tag support (William Casarin)
• Tag::into_iter method (Yuki Kishimoto)
• FilterBuilder::until method (Yuki Kishimoto)
• Export structs from tags module (Yuki Kishimoto)

Fixed

• FilterBuilder::limit method (Yuki Kishimoto)
• Note::sig method (Yuki Kishimoto)

Stats

Yuki Kishimoto <yukikishimoto@protonmail.com> +20 -4 5 William Casarin <jb55@jb55.com> +1551 -867 32

Damus NoteDeck/Android

This project is in heavy development and doesn't have clean changelogs yet, so here are all of the git logs from this period

Willam's updates

• account_manager: don't add the same pubkey more than once
• actionbar placeholder
• actionbar: remove border on reply button, add expand animation
• actionbar: support both dark and light buttons
• Add forward navigation animation
• add hover to profile map demo
• add --light lightmode flag to previews and notedeck
• add my pubkey to the timeline query for testing
• add test queries for elsat
• add vertical separators between timelines
• allow missing profiles in account switcher
• allow multiple invocations of --sec
• always have some default timeline
• app: make ndb public
• a quick note about the View trait
• args: allow filter files and raw filters on cli
• bump timeline filter limit
• cap size of remote filter limits
• change selection color to purple
• check: remove duplicate and disable wasm checks
• ci: disable wasm builds for now
• cli: add --sec argument to quickly add an account
• clippy postbox cleanups
• crates: add bitflags
• damus: make relay pool public
• darker quote reposts for mobile
• debug: add some debug logs for keyboard note selection
• deps: using tracing instead of log
• direnv: disable nix direnv on darwin
• direnv: make args explicit so its easy to change
• don't bump timeline when adding notes
• dont since-optimize when we don't have enough notes
• don't use an actual keystorage in Damus test apps
• drafts: clear post after posting
• enable nip10 replies
• enostr: rename Event to Note
• env: allow private things like secret keys
• filter: add default limit
• filters: fix hashtag filters
• filter: unify nostrdb and remote limits
• Fix all warnings
• fixed_window: fix clippy warning
• fix global query
• fix inline note preview colors
• fix light borders for quote reposts
• fix postbox design
• fix scroll area shrinking
• fix some clippy warnings
• fix until filters
• fix warnings
• fonts: always use base fonts for all families
• fun large profile grid preview
• get all missing ids from all timelines
• github: remove pages workflow
• gitignore: add perf files
• hide navigation title on global nav
• ids: find more unknown ids from inline notes
• images: add aspect_fill
• initial inline note previews
• initial navigation
• initial note posting
• initial postbox for testing
• initial post box view
• initial post reply view
• initial refactor in preparation for routing
• input: fix deadlock on resize
• input: handle raw events
• input: process input once
• input: switch to scanning over raw input events
• integrate sidebar into main view
• introduce View and Previews traits
• irc mode
• ircmode: tighten username
• keys: actually use the keystore
• lighter gray for inline previews in white mode
• list: switch from arc mutext to rc refcell
• load timelines from commandline
• log: reduce spammy new note log
• log relay subscriptions
• make notedeck front and center
• mobile: add lots of top padding on mobile
• mobile: a tad more padding at the top
• mobile: black panel bg color
• mobile: don't add hover on mobile
• mobile: make mobile flag runtime-configurable
• mobile: simplify is_mobile
• mobile: use my timeline for testing again
• move account_login_view to ui submodule
• move add_space to its correct location
• nip10: fetch unknown replied-to notes
• nip10: show initial reply information on notes
• nix: add openssl dep for reqwest
• nix: make android emulator optional
• nostrdb: bump to support timeline queries
• note: don't allow nested note previews
• note: support nprofile mentions
• perf: don't clone bytes via a more specialized function
• perf: fix continuous repaint
• perf: profiling note content rendering
• popup: increase fixed window margin
• popup: simplify borrow
• postbox: add focused state
• postbox: add focus shadow from figma
• post: full available width
• postview: add vertical scroll
• previews: remove central panel frame
• profile: add about and username to profile previews
• profiles: introduce DisplayNames
• profiling: update puffin version
• queries: add a few more test queries
• queries: set reasonable initial query sizes
• queries: update hashtags query
• readme: add usage
• readme: document previews
• readme: make it clear that its for desktop
• readme: make it clear that nix is optional for non-android dev
• readme: show notedeck preview
• refactor: move fixed_window to ui
• refactor: move note into its own widget
• refactor: rename widgets to ui
• refactor: use map instead of explicit if let
• remote: use default_remote_limit instead of hardcoding
• remove context from DesktopSidePanel
• remove minimum window size
• remove useless struct
• render_pfp: only depend on imgcache
• reset virtual list if notes are spliced into timeline
• set tooltip delay to 100ms
• side_panel: return more detailed side panel responses
• simplify is_mobile check
• simplify tab underline calculation
• since filter optimization
• slightly larger pfpfs
• small inline preview pfps
• style: initial logic for mobile style
• style: less bubbly
• style: realtime hover interactions
• style: set 0 duration tooltip delay
• Switch to egui master to fix wgpu issues
• switch to glow for now
• switch to rustls-tls-native-roots
• tabs: select notes & replies by default
• test: add test timeline query
• test: update test profile with a banner
• test: use my timeline query by default for testing
• textmode: adjust name sizing so it doesn't bump the column
• textmode: fix coloring of abbreviated names
• textmode: no previews in textmore for now
• theme: update to correct colors based on figma design
• timeline: don't hide on resize
• timeline: refactor tabs into TimelineView
• timeline: use strips instead of panels
• ui: add banners to profile previews
• ui: add feathering-resistant hline separator fn
• ui: add frame around note previews
• ui: add initial Profile hover previews
• ui: add profile picture hover animation
• ui: integrate egui-tabs for notes & replies selector
• ui: introduce profile picture widget
• ui: make pixel sizes correct, use more of the figma
• ui: move RelayView into ui module
• ui: only inline preview kind1 notes for now
• ui: reduce vertical padding for more compact timelines
• ui: remove some old note ui comments
• ui: simplify note widget
• ui: switch to flags for note options
• update slow timeline query
• update to latest nostrdb, adding tag support
• update version in comment because I still use this on my laptop
• use egui_virtual_list for rendering
• use unique id for post/reply view
• weird actionbar experiment
• we should just called this damus
• widgets: begin organizing ui components into widgets
• working notes + notes&replies

kernelkind's updates

• account_management: refactor
• AccountManagementView
• AccountManager: add ability to make a selection
• AccountSelectionWidget
• Account switcher
• Add AccountManager to app
• Add custom visual themes
• Add flag to emulate mobile during preview
• Add keypair & update pubkey
• Add login key parsing
• Add login manager
• Add MacOS key storage
• Add MobileAccountLoginView
• Add modular custom text styles
• Add monospace text style
• Add nix-shell for macos android development
• Add nostr-sdk dependency
• Add precommit hook to suggest proper formatting
• Add preview for RelayView
• Add relay view
• add reqwest as dependency
• Add SimpleProfilePreview
• Add ui_test_harness binary implementation
• Add warn color and highlight color
• app: add accounts to Damus & mock
• Apply app style to AccountLoginView
• Apply cargo fmt
• Conditionally compile MacOS key storage code
• Constrain app minimum size
• Create account login panel
• Create side panel & global popup
• enostr: expose RelayStatus
• Extract the sample relay to test_data for reuse
• impl linux credential storage
• Integrate account switcher to side panel
• Integrate global popup into app
• login: Add key loading & error to mobile
• macos_key_storage: runner ignore tests
• migrate AccountManagementView to enostr Keypair
• Migrate to new AccountManagementView conception
• Move login business logic to LoginManager
• move login logic from promise to async fns
• Move preview controller out of account_manager.rs
• move test account creation & apply to global popup
• Pfp integration to side panel
• refactor account switcher & management previews
• Refactor 'ui tests' conception to previews
• reintroduce account management
• reintroduce account switcher
• remove nostr-sdk
• Rename PersistState -> StateInMemory
• select first account
• Seperate mobile dark color theme into its own func
• update cargo.lock to reflect toml change
• Update egui 0.26.1 -> 0.27.1
• Use app_creation for common app setup functions
• Use custom style in app
• use nostr in enostr

Stats

name added removed commits kernelkind <kernelkind@gmail.com> +6844 -1979 58 William Casarin <jb55@jb55.com> +9733 -5583 194

Damus iOS

Added

• Ability to create highlights (ericholguin)
• Add ability to mute hashtag from SearchView (Charlie Fish)
• Add ability to mute words, add new mutelist interface (Charlie) (William Casarin)
• Added callbackuri for a better ux when connecting mutiny wallet nwc (ericholguin)
• Added nip10 marker replies (William Casarin)
• Added title image and tags to longform events (ericholguin)
• Add event content preview to the full screen carousel (Daniel D’Aquino)
• Add First Aid solution for users who do not have a contact list created for their account (Daniel D’Aquino)
• Add marker nip10 support when reading notes (William Casarin)
• Add video cache to save network bandwidth (Daniel D’Aquino)
• Completely new threads experience that is easier and more pleasant to use (Daniel D’Aquino)
• Connect to Mutiny Wallet Button (ericholguin)
• Highlights (NIP-84) (ericholguin)
• Notification reminders for Damus Purple impending expiration (Daniel D’Aquino)
• Proxy Tags are now viewable on Selected Events (ericholguin)
• Relay fees metadata (ericholguin)
• Revamp emoji picker to be less error-prone and add search, frequently used, and multiple skin tone support capabilities (Terry Yiu)
• Show list of quoted reposts in threads (William Casarin)

Changed

• Added first aid contact damus support email (alltheseas)
• Add support for Apple In-App purchases (Daniel D’Aquino)
• Always strip GPS data from images (kernelkind)
• Change reactions to use a native looking emoji picker (Terry Yiu)
• Errors with an NWC will show as an alert (ericholguin)
• Improve UX around video playback (Daniel D’Aquino)
• Moved paste nwc button to main wallet view (ericholguin)
• Relay config view user interface (ericholguin)
• Relay detail design (ericholguin)
• Updated Zeus logo (ericholguin)

Fixed

• Fix broken GIF uploads (Daniel D’Aquino)
• Fix bug that would cause connection issues with relays defined with a trailing slash URL, and an inability to delete them. (Daniel D’Aquino)
• Fixed issue where some replies were including the q tag (William Casarin)
• Fixed issue where timeline was scrolling when it isn't supposed to (William Casarin)
• Fixed threads not loading sometimes (William Casarin)
• Fixed wallet not disconnecting when a user logs out (ericholguin)
• Fix emoji reactions being cut off (ericholguin)
• Fix ghost notifications caused by Purple impending expiration notifications (Daniel D’Aquino)
• Fix image indicators to limit number of dots to not spill screen beyond visible margins (ericholguin)
• Fix in-app purchase issue that would trigger an error on purchase before confirming the account information. (Daniel D’Aquino)
• Fix issue where bootstrap relays would inadvertently be added to the user's list on connectivity issues (Daniel D’Aquino)
• Fix missing Mute button in profile view menu (Terry Yiu)
• Fix nostrscripts not loading (William Casarin)
• Fix profile not updating bug (William Casarin)
• Fix stale feed issue when follow list is too big (Daniel D’Aquino)
• Fix thread bug where a quote isn't picked up as a reply (William Casarin)
• Fix welcome screen not showing if the user enters the app directly after a successful checkout without going through the link (Daniel D’Aquino)
• Improve reliability of contact list creation during onboarding (Daniel D’Aquino)
• Issue where NWC Scanner view would not dismiss after a failed scan/paste (ericholguin)

Stats

name added removed commits Fonta1n3 <fontainedenton@googlemail.com> +1 -0 1 Sean Kibler <skibler@protonmail.com> +13 -2 1 alltheseas <64376233+alltheseas> +65 -1 4 Transifex <transifex@transifex.com> +581 -39 36 Terry Yiu <git@tyiu.xyz> +763 -1383 8 William Casarin <jb55@jb55.com> +1017 -1564 49 ericholguin <ericholguin@apache.org> +1962 -643 13 Daniel D’Aquino <daniel@daquino.me> +3885 -761 48

@ 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.”

@ 32e18276:5c68e245

Here's a neat tip for figuring out exactly where your packet went during a traceroute. You can simply paste the output of traceroute into ChatGPT, asking where the packet actually went geographically.

The question

Here's the input I gave it:

``` can you get a sense of this route geographically ?

monad> tracepath nghttp2.org

1?: [LOCALHOST] pmtu 1500 1: _gateway 0.445ms 1: _gateway 0.363ms 2: 24.86.64.1 11.495ms 3: rc1st-be118-1.vc.shawcable.net 8.924ms 4: 24.244.60.69 12.607ms asymm 3 5: 24.244.63.101 9.884ms asymm 3 6: rc1st-be214.vc.shawcable.net 11.561ms asymm 3 7: rc2wt-be50-1.wa.shawcable.net 14.402ms asymm 3 8: rc2wt-be50-1.wa.shawcable.net 14.334ms asymm 3 9: ge3-0.cr02.sea01.pccwbtn.net 13.858ms asymm 4 10: ge3-0.cr02.sea01.pccwbtn.net 13.936ms asymm 4 11: 63-216-84-226.static.pccwglobal.net 191.730ms asymm 8 12: ae1.r01.hkg03.icn.netarch.akamai.com 154.284ms asymm 9 13: ae1.r01.hkg03.icn.netarch.akamai.com 160.912ms asymm 9 14: ae7.r01.tyo03.icn.netarch.akamai.com 156.906ms asymm 9 15: a23-56-142-37.deploy.static.akamaitechnologies.com 189.058ms asymm 10 16: a23-56-142-37.deploy.static.akamaitechnologies.com 189.577ms asymm 10 ```

Response

Tracing the geographical path from your local host to nghttp2.org involves a series of hops that typically represent different network routers or devices. Let's break down the route step-by-step:

1. Localhost to Gateway:

2. This is your local network's gateway, indicating the first point of contact outside your computer.

3. 24.86.64.1:

4. This IP is likely the first hop within your Internet Service Provider's (ISP) network. Given the IP range, this looks like a Canadian IP address, possibly Vancouver (Shaw Communications).

5. rc1st-be118-1.vc.shawcable.net:

6. This indicates a Shaw Communications router, likely in Vancouver, British Columbia.

7. 24.244.60.69 and 24.244.63.101:

8. These are further hops within Shaw Communications' network, still in Vancouver.

9. rc1st-be214.vc.shawcable.net:

10. Another router in Vancouver within Shaw's network.

11. rc2wt-be50-1.wa.shawcable.net:

12. This hop seems to indicate a transition from Vancouver to Washington state in the USA.

13. rc2wt-be50-1.wa.shawcable.net:

14. This appears again, indicating it's a key router in Washington state, likely Seattle.

15. ge3-0.cr02.sea01.pccwbtn.net:

16. This shows the transition to PCCW Global's network, a major international telecommunications provider, in Seattle, Washington.

17. 63-216-84-226.static.pccwglobal.net:

18. Another hop within PCCW Global's network, possibly still in Seattle but preparing for a trans-Pacific jump.

19. ae1.r01.hkg03.icn.netarch.akamai.com:

    • This hop indicates a significant jump to Hong Kong, to an Akamai router. This suggests the use of Akamai's CDN (Content Delivery Network).

20. ae1.r01.hkg03.icn.netarch.akamai.com:

    • Another Akamai router in Hong Kong.

21. ae7.r01.tyo03.icn.netarch.akamai.com:

    • Transition from Hong Kong to Tokyo, Japan, within Akamai's network.

22. a23-56-142-37.deploy.static.akamaitechnologies.com:

    • The final destination is likely a server hosted by Akamai in Japan, which is hosting nghttp2.org.

In summary, the geographical path likely follows this route:

1. Vancouver, Canada (Shaw Communications)
2. Seattle, Washington, USA (Shaw Communications and PCCW Global)
3. Hong Kong (PCCW Global and Akamai)
4. Tokyo, Japan (Akamai)

This route involves both North American and Asia-Pacific regions, indicating a significant geographical spread typically seen in global internet routing.

Summary

This makes traceroute way more understandable. ChatGPT knows enough about the domains to give you a good sense of the geographical path. I will definitely be using this from now on, maybe someone can make a tool to do this automatically and format it nicely.

Obviously don't do this if you actually care about the privacy of your network paths, but I personally could care less so I don't mind feeding the AI overlords in this case.

Until next time!

@ 527337d5:93e9525e

Experiment Plan for Text Similarity Comparison Algorithms (Revised v3)

1. Introduction

1.1. Research Background and Objectives

This research aims to evaluate the performance of various algorithms for comparing the similarity between individual page texts extracted from a specific technical document (in this experiment, the content of the Tailwind CSS documentation site). Initially, we considered dividing the text into 250-word chunks. However, due to the abundance of Markdown and code in the target document, meaningful chunking proved tobe cumbersome. Therefore, we decided to use the entire text extracted from each page as the unit of comparison.

This study will systematically compare and examine combinations of different "representation methods" and "comparison methods" from multiple perspectives: ease of implementation, processing speed, memory consumption, and accuracy of similarity judgment. A particular focus will be on elucidating the effectiveness of information-based NCD (Normalized Compression Distance) and vector embedding-based methods, which are planned for future evaluation.

1.2. Report Structure

This report will first describe the experimental data and its preprocessing methods. Next, it will define in detail the representation methods and comparison methods that form the axes of evaluation, and present specific experimental cases combining them. After presenting the results and discussion of initial experiments using NCD, it will describe the metrics for evaluating each experimental case, specific experimental procedures, and the expected outcomes and future prospects of this research.

2. Experimental Data

• Target Content: Individual HTML pages from the Tailwind CSS documentation site (tailwindcss.com).
• Data Unit: The entire text of each page, extracted from HTML files using the html2text command and further processed to remove control characters using the sed command. This serves as the basic unit of comparison in this experiment.
• Data Storage Location: The extracted and preprocessed text files are stored locally under the ./tailwindcss.com directory, maintaining the original file structure.
• Language: English
• Example Search Query: A representative search query for this experiment is "Utilities for controlling how a background image behaves when scrolling." (Multiple queries and their expected similar pages may be used for more robust evaluation).
• Example Expected Similar Page: For the query above, /docs/background-attachment is expected to be the most semantically similar page.

3. Experimental Design

This experiment is designed by dividing the process of evaluating text similarity into two main axes: "Representation Methods" and "Comparison Methods."

3.1. Representation Methods (Text Quantification/Vectorization)

1. Naive (Raw Text / Full Page Text)

   • Method: Use the entire preprocessed text extracted from each document page as raw string data, without special transformations.
   • Objective: Serve as a direct input for information-based comparison methods like NCD and as a baseline comparison for more advanced representation methods to be evaluated later.

2. (Future Experiment) Vector Embedding via Gemini API (Embedding-Gemini)

   • Method: Utilize Google's Gemini API (models/text-embedding-004) to convert the entire text of each page into high-dimensional dense vectors (Embeddings).
   • Objective: Evaluate the performance of context-rich vector representations generated by a state-of-the-art large language model.

3. (Future Experiment) Vector Embedding via Local Lightweight Model (Embedding-MiniLM-GGUF)

   • Method: Run a GGUF quantized version of the pre-trained all-MiniLM-L6-v2 model (all-MiniLM-L6-v2-Q5_K_M.gguf) in a local environment to convert the entire text of each page into vector representations. GGUF format offers benefits like smaller model size and potentially faster CPU inference.
   • Objective: Evaluate the performance of a widely used open-source lightweight model (quantized version) in comparison to API-based large-scale models and domain-specific learned models.

4. (Future Experiment) Extraction of Internal Feature Vectors via Mathematica (Embedding-MMA)

   • Method: Use the entire page texts from the target document set as input. Employ Mathematica's neural network framework to first pass each page text through an Embedding Layer. Apply L2 normalization to the resulting vectors, followed by Principal Component Analysis (PCA) to reduce dimensionality to approximately 100 dimensions. This final vector will be the feature vector. This pipeline aims to create dense, normalized representations specific to the document corpus, with PCA helping to capture the most significant variance in a lower-dimensional space, potentially improving efficiency and reducing noise. The choice of an Embedding Layer trained or fine-tuned on the corpus, followed by PCA, seeks to balance domain-specificity with robust dimensionality reduction.
   • Objective: Evaluate the performance of vector representations processed or specialized for the target document set.

3.2. Comparison Methods (Distance/Similarity Calculation between Representations)

1. NCD (Normalized Compression Distance)

   • Applicable to: Naive (Full Page Text)
   • Method: For two data objects x (query) and y (document page text), calculate NCD(x,y) = (C(xy) - min(C(x), C(y))) / max(C(x), C(y)). Here, C(s) is the size (e.g., byte length) of data s after compression with a specific algorithm, and C(xy) is the size of the concatenated data x and y after compression. A value closer to 0 indicates higher similarity.
   • Compression Algorithms to Compare: DEFLATE (gzip), bzip2, LZMA, XZ, Zstandard (zstd), LZO, Snappy, LZ4 (as used in the user-provided script).
   • Objective: Evaluate similarity from an information-theoretic perspective based on data commonality and redundancy. Compare the impact of different compression algorithms on NCD results.

2. (Future Experiment) Cosine Similarity

   • Applicable to: Embedding-Gemini, Embedding-MiniLM-GGUF, Embedding-MMA
   • Method: Calculate the cosine of the angle between two vectors.
   • Objective: Standard similarity evaluation based on the directionality (semantic closeness) of vector representations.

3. (Future Experiment) Euclidean Distance

   • Applicable to: Embedding-Gemini, Embedding-MiniLM-GGUF, Embedding-MMA
   • Method: Calculate the straight-line distance between two vectors in a multidimensional space.
   • Objective: Similarity evaluation based on the absolute positional relationship of vector representations.

4. (Future Experiment) Manhattan Distance (L1 Distance)

   • Applicable to: Embedding-Gemini, Embedding-MiniLM-GGUF, Embedding-MMA
   • Method: Calculate the sum of the absolute differences of their Cartesian coordinates.
   • Objective: Similarity evaluation based on axis-aligned travel distance, differing from Euclidean distance.

5. (Future Experiment) Mahalanobis Distance

   • Applicable to: Embedding-Gemini, Embedding-MiniLM-GGUF, Embedding-MMA
   • Method: Calculate the distance between two vectors considering the covariance of the data. This provides a distance metric that accounts for the scale differences and correlations of each feature (vector dimension).
   • Objective: More robust similarity evaluation that considers the structure (correlation) of the feature space.

3.3. Experimental Cases (Initial NCD Experiments and Future Expansion)

3.3.1. Initial Experiments Conducted (NCD)

The following experimental cases were conducted using the user-provided script. The representation method was "Naive (Full Page Text)."

| No. | Representation Method | Comparison Method (Distance/Similarity Metric) | Notes | | :-: | :---------------------- | :--------------------------------------------- | :-------------------------- | | 1 | Naive (Full Page Text) | NCD (gzip/DEFLATE) | One of the baselines | | 2 | Naive (Full Page Text) | NCD (bzip2) | Compression method comparison | | 3 | Naive (Full Page Text) | NCD (lzma) | Compression method comparison | | 4 | Naive (Full Page Text) | NCD (xz) | Compression method comparison | | 5 | Naive (Full Page Text) | NCD (zstd) | Compression method comparison | | 6 | Naive (Full Page Text) | NCD (lzop) | Compression method comparison | | 7 | Naive (Full Page Text) | NCD (snappy) | Compression method comparison | | 8 | Naive (Full Page Text) | NCD (lz4) | Compression method comparison |

3.3.2. Future Experimental Plan (Vector Embedding)

| No. | Representation Method | Comparison Method (Distance/Similarity Metric) | Notes | | :--: | :---------------------- | :--------------------------------------------- | :------------------------------------- | | 9 | Embedding-Gemini | Cosine Similarity | Standard vector similarity evaluation | | 10 | Embedding-Gemini | Euclidean Distance | Standard vector similarity evaluation | | 11 | Embedding-Gemini | Manhattan Distance | Axis-aligned distance similarity eval. | | 12 | Embedding-Gemini | Mahalanobis Distance | Distance considering feature structure | | 13 | Embedding-MiniLM-GGUF | Cosine Similarity | Evaluation of local lightweight model | | 14 | Embedding-MiniLM-GGUF | Euclidean Distance | Evaluation of local lightweight model | | 15 | Embedding-MiniLM-GGUF | Manhattan Distance | Evaluation of local lightweight model | | 16 | Embedding-MiniLM-GGUF | Mahalanobis Distance | Evaluation of local lightweight model | | 17 | Embedding-MMA | Cosine Similarity | Eval. of domain-specific MMA model | | 18 | Embedding-MMA | Euclidean Distance | Eval. of domain-specific MMA model | | 19 | Embedding-MMA | Manhattan Distance | Eval. of domain-specific MMA model | | 20 | Embedding-MMA | Mahalanobis Distance | Eval. of domain-specific MMA model |

4. Results and Discussion of Initial NCD Experiments (Based on User-Provided Information)

4.1. Execution Overview

The user employed provided Python scripts (main.py, comparison.py) to calculate NCD between a search query and the entire text extracted from each HTML page in the ./tailwindcss.com directory. main.py invoked comparison.py with various compression commands (gzip, bzip2, lzma, xz, zstd, lzop, lz4). comparison.py then used the specified command-line compression tools to compute NCD scores and output the results to CSV files.

Search Query: "Utilities for controlling how a background image behaves when scrolling." Expected Similar Page: /docs/background-attachment

4.2. Key Results

The pages judged as most similar (lowest NCD score) to the query for each compression algorithm were as follows (based on user-provided sorted results):

• Zstandard (zstd): ./tailwindcss.com/docs/background-attachment (Score: 0.973...)
• LZ4: ./tailwindcss.com/docs/background-attachment (Score: 0.976...)
• XZ: ./tailwindcss.com/docs/background-origin (Score: 0.946...)
• LZMA: ./tailwindcss.com/docs/background-origin (Score: 0.966...)
• gzip (DEFLATE): ./tailwindcss.com/docs/scroll-behavior (Score: 0.969...)
• LZO: ./tailwindcss.com/docs/scroll-behavior (Score: 0.955...)
• bzip2: ./tailwindcss.com/docs/mask-clip (Score: 0.958...)

4.3. Initial Discussion

• Variation in Results by Compression Algorithm: It was confirmed that the document judged most similar to the query varies depending on the compression algorithm used. This is likely due to the differing abilities of each algorithm to capture various types of redundancy and patterns within the text.
• Alignment with Expected Results: When using Zstandard and LZ4, the expected page (/docs/background-attachment) was judged as most similar. This suggests these compression algorithms may have relatively effectively captured the information-theoretic commonality between the query and the target document in this instance.
• Range of NCD Scores: The reported NCD scores were generally close to 1.0. This may be due to the relatively short length of the search query compared to the full-page documents, meaning the query text contributes less to the overall compressibility when concatenated. However, relative differences were still captured, enabling ranking.
• Validity of Full-Page Comparison: Full-page comparison was chosen due to the difficulty of chunking content rich in Markdown and code. While this approach simplifies preprocessing, it may also be influenced by the overall structure of the page, including common headers and footers.

This initial experiment indicates that NCD can function as an indicator of text similarity and that the choice of compression algorithm is crucial.

5. Evaluation Metrics (Including Future Experiments)

1. Accuracy of Similarity Scores:

   • Ground Truth Preparation: A small, diverse subset of page pairs (e.g., 50-100 pairs) will be selected. For each pair, at least two evaluators familiar with the Tailwind CSS documentation will independently assign a similarity score on a 5-point Likert scale (1=Not similar, 5=Very similar). Inter-evaluator reliability (e.g., using Krippendorff's Alpha) will be calculated. Disagreements will be resolved through discussion to create a consensus ground truth dataset. If resource-constrained, a single-evaluator approach with clear, predefined criteria will be used, acknowledging this limitation. Alternatively, page pairs likely to be similar will be selected based on internal references or chapter structure within the document.
   • Evaluation Metrics: Ranking evaluation (Precision@k, Recall@k, MAP: Mean Average Precision), correlation analysis (Spearman's rank correlation coefficient with human judgments), classification evaluation (AUC-ROC, F1-score, assuming appropriate thresholding).

2. Processing Speed:

   • Average time to calculate similarity for a page pair, total calculation time for all page pairs (or a large sampled set), and representation generation time (API call time, local model inference time, MMA processing time).

3. Memory Consumption:

   • Model size (MiniLM-GGUF, MMA model), data representation size, and peak runtime memory usage.

4. Ease of Implementation:

   • Qualitative assessment of setup ease, lines of code, required libraries, difficulty of parameter tuning, and documentation quality. This will be summarized for each approach (e.g., using a rubric or a comparative narrative) considering factors like:
     • Setup Complexity: (e.g., API key acquisition vs. local model download & environment setup vs. full model training pipeline in Mathematica).
     • Code Complexity: Estimated lines of core logic, reliance on external vs. standard libraries.
     • Parameter Sensitivity: Number of key hyperparameters requiring tuning and the perceived difficulty of finding good settings.
     • Documentation & Community Support: Availability and clarity of official documentation and community resources (e.g., forums, GitHub issues).

6. Experimental Procedure (Including Future Experiments)

1. Data Preparation:

   • Prepare HTML files of the target document in the ./tailwindcss.com directory.
   • (For NCD) Extract and preprocess full-page plain text from each HTML file using html2text and sed (as previously done by the user).
   • (For Vector Embedding) Use the same preprocessed full-page plain text.
   • Create ground truth data for accuracy evaluation as described in Section 5.1.

2. Implementation and Execution of Representation Methods:

   • Naive: Use the preprocessed page text directly.
   • Embedding-Gemini: Use Python's requests library or similar to send each page text to the Gemini API (models/text-embedding-004) and retrieve/store the vector representations.
   • Embedding-MiniLM-GGUF: Use appropriate libraries (e.g., ctransformers, or sentence-transformers combined with llama-cpp-python) to load the all-MiniLM-L6-v2-Q5_K_M.gguf model. Input each page text to extract and store vector representations.
   • Embedding-MMA: In Mathematica, apply an Embedding Layer to each page text, followed by L2 normalization and PCA dimensionality reduction (to approx. 100 dimensions), then extract and store the vector representations.

3. Implementation and Execution of Comparison Methods:

   • NCD: Refer to the user-provided Python scripts (main.py, comparison.py) to call various command-line compression tools for NCD calculation. Alternatively, extend this to directly use Python's compression libraries for better control and efficiency.
   • Cosine Similarity, Euclidean Distance, Manhattan Distance: Implement using standard math libraries (e.g., Python's NumPy, SciPy).
   • Mahalanobis Distance: Implement using scipy.spatial.distance.mahalanobis. Requires pre-calculation of the covariance matrix (or its inverse) from the entire dataset of vectors for each embedding type.

4. Evaluation Execution:

   • Calculate similarity (or distance) scores between the search query (and potentially between page pairs for ground truth evaluation) and all document pages for each experimental case.
   • Measure processing speed and memory consumption.
   • Calculate accuracy metrics using the computed similarity scores and ground truth data.
   • Record and evaluate the ease of implementation.

5. Result Aggregation and Analysis:

   • Compile the obtained evaluation metrics into tables and graphs for comparative analysis of each method's characteristics.

Experimental Environment (Assumed)

• Hardware: (e.g., CPU: Intel Core i7-10700, Memory: 32GB RAM, GPU: NVIDIA GeForce RTX 3070 8GB - specify if GPU is used for MiniLM or MMA)
• Software: (e.g., OS: Linux (Ubuntu, etc.), Programming Language: Python 3.x (with versions for key libraries like NumPy, SciPy, requests, ctransformers, etc.), Mathematica 13.x, specific versions of command-line compression tools if used directly)

7. Expected Outcomes and Future Outlook

This research (including initial NCD experiments and future vector embedding experiments) is expected to yield the following outcomes:

• Clarification of the Impact of Compression Algorithms on NCD: As indicated by initial experiments, the choice of compression algorithm significantly affects similarity judgments. Further validation with more diverse data and queries will allow for a deeper understanding of each algorithm's characteristics.
• Performance Characteristics of Various Methods on Full-Page Text: To clarify how NCD and various vector embedding methods perform in terms of accuracy, speed, and resource consumption when applied to entire page texts.
• Comparison of Local and API-Based Models: In future vector embedding experiments, to compare the performance, speed, and resource efficiency of Embedding-MiniLM-GGUF (local, quantized) and Embedding-Gemini (API, large-scale) to identify practical trade-offs.
• Evaluation of Domain-Specific Embedding Effectiveness: To assess how well Embedding-MMA, processed or tuned for a single technical document set, performs compared to general-purpose models.
• Provision of Practical Insights: To offer guidelines for selecting appropriate similarity comparison approaches based on text characteristics (e.g., Markdown/code content) and system requirements (e.g., ease of preprocessing, emphasis on accuracy vs. speed).

8. Future Challenges

• Ensuring Quality of Ground Truth Data: Evaluating full-page similarity can be more subjective than chunk-level evaluation, making the creation of high-quality ground truth data challenging. Establishing clear annotation guidelines and measuring inter-annotator agreement will be crucial.
• Hyperparameter Optimization: Many methods involve tunable parameters (e.g., Embedding-MMA model structure, PCA dimensionality, MiniLM-GGUF inference parameters), the optimization of which may be beyond the scope of this initial study. The impact of default vs. tuned parameters could be noted.
• Noise in Full-Page Comparison: Full-page texts may contain common navigational elements or boilerplate text that could act as noise in similarity judgments. Strategies to mitigate this (e.g., more advanced text extraction, or methods robust to such noise) could be a future research direction.
• Input Length Limitations of Vector Embedding Models: Very long page texts might exceed the input length limits of some vector embedding models, requiring strategies for handling. These might include:
  • Truncation: Using only the initial N tokens of each page, which is simple but may lose crucial information.
  • Summarization: Employing an abstractive or extractive summarization model to create a condensed version of the page, which could preserve key information but adds another layer of processing and potential information loss/bias.
  • Chunking and Averaging/Pooling: Dividing long pages into manageable chunks, embedding each chunk, and then aggregating these chunk embeddings (e.g., by averaging) to get a single page vector. This approach needs careful consideration of how chunks are defined and aggregated.
  • Utilizing Long-Context Models: If available and feasible, leveraging embedding models specifically designed for longer sequences. The chosen strategy will be documented, and its potential impact on results acknowledged.

@ fbf0e434:e1be6a39

Hackathon 概述

ETH Dublin 2025 黑客松圆满落幕，活动共吸引 84 名开发者参与，共有 31 个项目通过审核。活动核心是借助多家赞助商技术，打造具有影响力的区块链解决方案。活动鼓励参与者组建技能多元的平衡团队，运用技术工具及赞助商支持 —— 如 Chainlink 进行数据验证、Ledger 保障安全、Filecoin 提供存储方案等。

多个项目聚焦社会影响领域：ÉireEncrypt 致力于开发符合 GDPR 合规要求的隐私保护区块链工具；SafeRoads Ireland 则通过智能合约推动安全驾驶。此外，部分项目借助以太坊实现租金管控与去中心化住房市场，还有以移民为主题的数字解决方案促进社区融合，充分展现区块链技术在解决隐私保护、公共安全、教育改革等实际问题中的潜力。

总体而言，ETH Dublin 2025 黑客松不仅促进了开发者与合作伙伴的协作，更激发了诸多借助区块链技术创造社会价值的创新项目。

Hackathon 获奖者

奖项得主

• 一等奖: RecEth
  RecEth 通过提供电子邮件确认和清晰的收据，增强了用户对加密交易的信任，将用户体验与传统支付系统的透明度相对齐。
• 二等奖: Latinum
  Latinum 作为支付中间件，允许MCP构建者通过兼容钱包实现由代理发起的交易来实现服务器货币化，简化了货币化过程。
• 三等奖: Fundraisely
  FundRaisely 利用区块链技术帮助慈善机构进行合法合规的筹款，以及透明的审计，确保捐款流程的清晰和负责。

欲了解所有项目的更多信息，请访问这里。

关于组织者

ETH Ireland

ETH Ireland 致力于区块链技术的创新和发展。该组织在Ethereum方面有着丰富的专业知识，通过举办会议和工作坊促进区块链教育和社区参与。ETH Ireland 的使命是扩大区块链知识普及，推广去中心化技术到各个领域。

@ cd408a69:797e8162

Nostrasia Hackathon

Welcome FOSS hackers and creatives who care deeply about freedom technology!

自由のテクノロジーに深い関わりたい FOSS ハッカーとクリエイター、あつまれ！

We're joining forces with Bolt.Fun for a month-long hackathon bridging Bitcoin and NOSTR (Notes and Other Stuff Transmitted by Relays), culminating with a special three day sprint and live event in Tokyo at the Nostrasia Conference.

私たちは、Bolt.Fun と協力して、ビットコインと Nostrを橋渡しする ハッカソンを、1 か月間かけて開催します。 クライマックスは東京で開催されるNostrasia Tokyo が舞台。3日間の特別なスプリントとライブ イベントで最高潮に達します。

Be a Part of the Early Days of Nostr

Nostr の創成期を共に作り上げましょう

Help build the future of Nostr! Like the early days of Bitcoin or of the Internet, Nostr is nascent open technology shaping new types of social experiences to connect people across the globe. It carries a foundation of principles similar to Bitcoin, like decentralization, simplicity, and censorship-resistance.

Nostr の未来を築くのに協力してください！ビットコインやインターネットの初期と同じように、Nostr は世界中の人々をつなぐ新しいソーシャル体験を形成するオープン テクノロジーの初期段階にあります。 Nostr には「分散化」「シンプルさ」「検閲耐性」など、ビットコインと同様の原則が組み込まれています。

Orange-Pill people through the Purple-Nostr-Pill

オレンジピル（ビットコイン）から紫の Nostr のピルへ

Bitcoin and Nostr communities are in synergy. What started as a social protocol is quickly transforming into a space for exploration on ways to support content creators through bitcoin lightning micro payments, often referred to as zaps. Bitcoin integration to the nostr protocol strengthens Bitcoin's use case as a currency of exchange. It carves new paths to a culture of value4value.

ビットコインと Nostr のコミュニティは相乗効果を発揮します。 Nostr はソーシャルプロトコルとしてはじまりましたが、今では Zap （ビットコイン の ライトニング マイクロペイメント）を通じてコンテンツ クリエイターをサポートする方法を模索する空間へと急速に進化しています。 Nostr プロトコルにビットコインが組み合わさることで、交換通貨としてのビットコインの働きが強化されます。 それは、"value4value" の文化への新しい道を切り開くでしょう。

Help People HODL their Keys (Social+Monetary)

人々が自分のキーを HODL （長期保有）できるように支援します （ソーシャル + 金銭的に）

Nostr exists outside of the rule of platforms and those who seek to control them. HODLing your nostr keys is hodling your identity and social graph, outside of KYC. By helping develop and educate on NOSTR, you are helping people escape walled gardens & gain control and choice over their identities & their money. The Internet, over time, has become centralized, help Nostr stay decentralized by supporting the growth of an ecosystem of apps, websites, microapps, relay services...

Nostr はプラットフォームやそれを制御しようとする人々の支配の外にあります。 Nostr keys を持つことは、KYC （本人確認）以外であなたのアイデンティティとソーシャル グラフを保持することになります。 Nostr の開発や教育に貢献することは、人々が束縛から解放され、アイデンティティやお金に対する主導権を得られるよう支援することにもなるのです。 時間の経過とともに集中化されてきたインターネットですが、Nostr のアプリ／Web サイト／マイクロアプリ／リレー サービスのエコシステムの成長をサポートすることで、Nostr の分散化を維持できるようになります。

Permissionless Building

許可を必要としない構築

Opportunities abound in an environment ripe for innovation:

• Develop & design new nostr white label clients, middleware, microapps...
• Help improve existing Nostr FOSS projects
• Contribute directly to protocol development through NIPs (Nostr Implementation Possibilities)
• Encourage nostr and bitcoin adoption through art, education, and any way you like

イノベーションの機が熟した環境には、チャンスが溢れています。

• Nostr の真新しい クライアント、ミドルウェア、マイクロアプリを開発したりデザインする
• 既存の Nostr FOSS プロジェクトの改善に寄与する
• NIP (Nostr Implementation Possibilities) を通じたプロトコル開発に直接貢献する
• 芸術、教育、その他好きな方法を通じて Nostr とビットコインの普及を推進する

Hack in a Supportive Environment

サポートされた環境でハックしよう

We have a growing list of knowledgeable people with skin-in-the-game to mentor and support your journey. Once your project matures, you may also have 1-on-1 guidance to help you reach your vision and discover ways of growing and funding it.

私たちは、あなたの道のりを指導しサポートしてくれる知識豊富なメンターを増やしています。 プロジェクトが成熟した暁には、1対1のガイダンスを受けられる可能性もあります。それは、あなたのビジョンを達成し、成長させて資金を得る方法を発見するのに役立つでしょう。

Nostr has a blossoming community open to innovation. It is also a great testing ground, as people in the community are open to giving and receiving feedback. It is an environment encouraging conversation on feature ideas as well as possible solutions to social media issues and product bugs.

Nostr には、イノベーションに対してオープンで、発展しているコミュニティがあります。 コミュニティの人々はフィードバックの授受にオープンであるため、優れた実験の場にもなります。 機能のアイデアや、ソーシャル メディアの課題や製品のバグの解決策についての会話を促進する環境です。

NostrHack Tracks

You have 3 options

NostrHack Tracks には3つのオプションがあります

Track 1: Builder's Track - Reimagine Nostr

トラック1 : ビルダーのトラック - Nostr を再考しよう

If you can think of it, it can be engineered! Nostr encourages permissionless building while staying mindful of interoperability and network support. Help BUIDL, design, and improve an area you are passionate about. Reimagine and BUIDL features, tools, clients... Help solve issues and create new experiences in social media.

思いつくことができれば、エンジニアリングできる！ Nostr は、相互運用性とネットワーク サポートに留意しながら、パーミッションレスな構築 (BUIDL) を奨励しています。 あなたが情熱を注いでいる分野での構築、設計、改善に貢献してください。 機能やツール、クライアントを再考して構築 (BUIDL) し、ソーシャル メディアでの課題を解決して新しい体験を生み出すのに協力してください。

Possibilities...

これを踏まえて…

BUILD on the NOSTR Protocol

The Nostr Implementation Possibilities (NIPs) are optional protocol features anyone can add to their clients. Improve and strengthen existing NIPs or build on new ones. NOSTR is a balance of simplicity, interoperability, backward-compatibility and innovation.

NIPs は、誰でもクライアントに追加できるオプションのプロトコル機能です。 既存の NIP を改善および強化するか、新しい NIP を構築してください。 Nostr は、シンプルさ、相互運用性、下位互換性、革新性のバランスを保っています。

Focus on UX

Nostr is made up of a wide range of clients and tools. To make NOSTR scalable, you can help improve its user experience and education.

Nostr は幅広いクライアントとツールで形成されています。 Nostr をスケーラブルにするために、UX と教育の改善に協力してください。

Help shape a Web of Trust

Nostr cares about removing the KYC tied to our identities. To use Nostr you do not need to give up your phone number, email, financial information, or any metadata tied to your real world identity to be later harvested and sold. You are not the product. What are ways that trust can be earned to prevent impersonation, spam...?

Nostr は、私たちの身元に関連付けられた KYC （個人情報）を取り除けるようにしています。 Nostr を使用しても、電話番号、電子メール、財務情報、または現実世界のアイデンティティに関連付けられたメタデータを、収集されたり販売されたりして手放すことになる心配がありません。 あなたは商品ではないのです。 その中で、なりすましやスパムを防ぐために、信頼を獲得するにはどうすればよいでしょうか...?

NIP05/Nostr address

One of the solutions to build a web of trust used today, is to tie your nostr hex public key to a domain. Although this makes it harder for bots to have nostr addresses, it is not a perfect solution. Domains are centralized through DNS. To help people who do not have their own domains or cannot easily add a NIP05 on their sites, your nostr address can be hosted as a service along with other people's. At this moment, you can highlight just one nostr address per profile. In the future, could it include your website, where you work, and other identifiers... What are other possible solutions?

現在使用されている信頼獲得のための解決策の 1 つは、Nostr の HEX 公開鍵をドメインに結び付けることです。 これにより、完璧な解決策ではないものの、bot などが Nostr アドレスを持つことが難しくなります。 ドメインは DNS を通じて一元化されています。 独自のドメインを持っていない人や、自分では NIP-05 を簡単に追加できない人のために、あなたの Nostr アドレスをサービスとして他の人のものと一緒にホストすることも可能です。 現時点では、プロフィールごとに1つの Nostr アドレスのみを強調表示できますが、将来的には、Web サイト、勤務先、その他の識別情報も含められるようになる可能性があります...この他にも考えられる解決策は何かありますか？

On Decentralization & Discoverability

分散化と発見可能性について

Your identity in NOSTR is tied to your keys, but your information needs to be shared and found across a network of relays. To promote decentralization and censorship resistance, relays need to be easy to setup, lightweight, and sustainable. Relays get to choose what information passes through them, so they are also a form of spam prevention that could potentially also become censoring, so both the relay-runners and the individuals connecting to relays need to have choice and policies cannot be homogenous one-size-fits-all. What are possible solutions to make setting up relays easier, to make running a relay sustainable, to have new ways of discovering information...

Nostr での ID はキーに関連付けられていますが、その情報はリレーのネットワーク全体で共有され、検索できる必要があります。 分散化と検閲耐性を促進するために、リレーはセットアップが簡単で、軽量で、持続可能である必要があります。 リレーは通過する情報を選択できるため、スパム防止の一形態である一方で検閲にもなり得ます。そのため、リレー管理者とリレーに接続する個人の両方に選択権が必要で、ポリシーが全てに対し画一的になってはいけません。 リレーのセットアップを容易にし、リレーの実行を持続可能にし、情報を発見する新しい方法を実現するには、どのような解決策が考えられるでしょうか...？

Buidl tools to connect to Git, as a decentralized alternative to GitHub

GitHub の分散型代替手段として、Git に接続するための BUIDL ツール

Media Uploads

To keep relays lightweight, images are hosted by uploading them to the web, and keeping only the links to them in the data within individual nostr notes. This has led to developing image uploading services specific to nostr, but they carry the risk of centralization or censorship. Some product makers and relay runners are looking into direct uploads to Cloud services. What are possible solutions to the handling of media (images, videos, music...)?

リレーを軽量に保つために、画像は Web にアップロードしてホストされ、各投稿のデータには画像へのリンクのみが保持されます。そんな中で、Nostr に特化した画像アップロード サービスが開発されましたが、集中化や検閲のリスクが伴います。 一部のプロダクト開発者やリレー管理者は、クラウド サービスへの直接アップロードを検討しています。 メディア（画像、ビデオ、音楽など）の処理について、考えられるよい解決策はありますか？

Social Signals

People have the choice to block and mute others, this gives signals to relays, which can reenact policies based on those and other signals. Relays need to be able to differentiate real signals from those wanting to game the system for censorship. Relay runners need to have the capacity to make decisions on what to allow or reject.

ユーザーは他のユーザーをブロックしたりミュートできます。ユーザーの設定内容はリレーに送信され、リレーはその設定に基づいてそれぞれのポリシーを再現できます。 リレーは、実際の設定と、検閲のためにシステムを操作しようとする設定を区別する必要があります。 リレーの管理者には、何を許可し、何を拒否するかを決定する能力が必要です。

Track 2 : Marketplaces & Value4Value

Make freedom of exchange fun again! Nostr extends beyond social. It is integrating ways for content creators to be supported through lightning micropayments, called zaps, for their creations. The possibilities of building niche value4value economies through the exchange of products, services, and ideas, is growing through various avenues: Marketplaces, fundraising, blogs, music, streaming... devise new robust ways of integrating NOSTR and Bitcoin of monetary and skill exchange. Seek to explore distributed, digital reciprocity and free trade. Encourage a culture of value4value.

自由な交流を再び楽しく！ Nostr はソーシャルを超えて広がります。 Zap と呼ばれるマイクロペイメントを通じて、コンテンツクリエイターの作品をサポートできる方法を兼ね備えています。 製品、サービス、アイデアの交換を通じてニッチな価値と価値（value4value）の経済を構築する可能性は、さまざまな手段を通じて拡大しています : マーケットプレイス、資金調達、ブログ、音楽、ストリーミングなど... Nostr とビットコインを組み合わせて、金銭とスキルの交換を行う新しい堅牢な方法を考案します。分散型、デジタル相互主義、自由貿易を探究してください。 価値対価値（value4value）の文化を促進してください。

A value4value culture is not only about the individuals using NOSTR products and services, but also about the developers and creatives building sustainable projects. What are ways of sustaining NOSTR through Bitcoin that do NOT make the individual user the product and that are privacy mindful?

value4value の文化は、Nostr の製品やサービスを使用する個人だけでなく、持続可能なプロジェクトを構築する開発者やクリエイターにも関係します。 個人ユーザーを製品にすることなくプライバシーに配慮しながら、ビットコインを通じて Nostr を持続させる方法は何ですか？

Possibilities...

On Social and Economic Signals

Zaps

Many nostr clients have implemented lightning zap payments. Imagine instead of liking a nostr note, you can zap someone's note and they can receive bits/sats in appreciation for their content. It is a strong signal to creators of the kind of content their audiences are looking for. The Apple App Store has recently banned the zapping of specific notes, per Apple's policy that makes the sale of digital content prohibited except when paid through their services. Fortunately, Nostr exists in many decentralized forms outside of app stores and the community is creating new and innovative ways to send bitcoin and free speech from relay to relay, circumventing barriers as they appear. What are solutions that can make NOSTR and zaps ubiquitous?

多くの Nostr クライアントが Zap を導入しています。Nostr での投稿を「いいね」する代わりに Zap すると、その内容に対する感謝としてビットコイン（サトシ）を受け取ることができるイメージです。 これは、フォロワーがどのような種類のコンテンツを求めているかをクリエイターに伝える強力なシグナルになります。 Apple App Storeは最近、サービスを通じて支払われる場合を除きデジタルコンテンツの販売を禁止するというAppleのポリシーに従い、特定の投稿への Zap を禁止しました。 幸い、Nostr は多くが App Store の外で分散型で存在しているため、コミュニティは障壁を回避しながら、ビットコインと言論の自由をリレーからリレーに送信するための革新的な方法を生み出しています。 Nostr と Zaps をユビキタスにするソリューションとは何ですか？

Track 3 : Empower Communities

Give choice and control back to the individual! Create paths forward to help onboard millions of new users and restore free and uncensored speech to the world

選択とコントロールを個人に返そう。 何百万人もの新規ユーザーの参加を支援し、自由で検閲されていない言論を世界に取り戻すための道筋を作り出してください。

Possibilities...

On Security, Privacy & Self-Custody

Private Communication

Direct Messages on NOSTR are encrypted, but metadata is leaked. If someone's key is compromised, whoever has access to that account can read those messages. Integrating secure and reliable encrypted communication protocols, like the SimpleX messaging protocol, is especially desired by the community, as many in Nostr are aware of the risks of surveillance, authoritarianism, government and Big Tech overreach... Private communication is important for individual rights, in particular for activists and journalists across the globe.

Nostr のダイレクト メッセージは暗号化されていますが、メタデータは漏洩します。 誰かのキーが侵害された場合、そのアカウントにアクセスできる人は誰でもそれらのメッセージを読むことができてしまうのです。Nostr の多くの人が監視、権威主義、政府とビッグテックの行き過ぎのリスクを認識しているため、 SimpleX メッセージング プロトコルのような安全で信頼性の高い暗号化通信プロトコルの統合が、コミュニティによって特に望まれています...プライベート通信は個人の権利にとって重要です 、特に世界中の活動家やジャーナリストにとって。

Zaps & Privacy

Current lightning zap payments tend to be custodial and not mindful of privacy, though they are helping onboard people unto lightning. What are ways that people can grow into non-custodial solutions? A wider adoption of Bolt-12 would improve zap payment privacy, what are ways to encourage that development? What are other possible solutions?

現在のザップの支払いは、ライトニングペイメントに出会うのに役立っているものの、カストディアル（管理的）でプライバシーに配慮していない傾向にあります。 ノンカストディアル（非監護的）なものになるよう解決する方法はありませんか？ Bolt-12 が広く採用されれば、Zap 支払いのプライバシーが向上しますが、その開発を促進するにはどのような方法がありますか？また、他に考えられる解決策はありませんか？

Closing Live 3-Day Sprint at the Nostrasia Conference

Nostrasia Tokyo 3日間のライブスプリントによる締めくくり

Tokyo | Nov 1-3 (you can also join virtually)

If you heard of the Nostrica unconference, which happened in Costa Rica in March of this year, Nostrasia is the second Nostr World conference, bringing NOSTR and Bitcoin awareness to the heart of Asia, where freedom communication and freedom money are direly needed.

今年の3月にコスタリカで開催された Nostrica のことをご存知の方もいると思いますが、ノストラジアは2回目の Nostr 世界カンファレンスです。自由なコミュニケーションと自由なお金が切実に必要とされているアジアの中心にNostr とビットコインの認識をもたらします。

Tokyo and Hong Kong are beautiful cultural hubs with budding Nostr and thriving Bitcoin communities of their own. We are eager to spread NOSTR education and development in those regions and beyond. We will close this Nostrasia month-long hackathon with a 3-day sprint at the Nostrasia Conference in Tokyo.

東京と香港は、新進気鋭のNostrと繁栄する独自のビットコインコミュニティを持つ美しい文化の中心地です。 私たちは、Nostr の教育と開発をこれらの地域やその他の地域に広めることに熱心に取り組んでいます。 この Nostrasia の 1 か月にわたるハッカソンは、Nostrasia Tokyo での 3 日間のスプリントをもって終了します。

We will have a dedicated workshop area and food for you to hack away on the final details of your projects. On the last day of the conference, the most robust projects will get time on stage to present. We will close the Nostrasia Hackathon with a special presentation.

プロジェクトの最終的な詳細を検討するための専用のワークショップ エリアと食事をご用意します。 カンファレンスの最終日には、最も強力なプロジェクトがステージ上でプレゼンテーションを行う時間が与えられます。 Nostrasia Hackathon は特別なプレゼンテーションで締めくくられます。

We cannot wait to see what new and exciting projects are proposed for the Nostrasia Hackathon. We’re eager to welcome devs and non-devs alike to contribute to this space and help #grownostr in any small way to help onboard Asia, and the rest of the world to this robust open communication protocol and decentralized freedom of speech tool.

Nostrasia Hackathon ではどんな斬新でエキサイティングなプロジェクトが提案されるのか楽しみです。 私たちは、開発者も非開発者も同様にこの分野に貢献し、アジアやその他の世界をこの堅牢なオープン通信プロトコルと分散型言論の自由ツールに参加させるために、どんな小さな方法でも #grownostr を支援してくれることを心から歓迎しています。

@ f5369849:f34119a0

Hackathon Summary

The ETH Dublin 2025 hackathon featured 31 approved projects and attracted 84 developers. The event focused on creating impactful blockchain solutions utilizing various sponsor technologies. Participants were encouraged to form balanced teams with diverse skills, leveraging technical tools and guidance from sponsors such as Chainlink for data verification, Ledger for security, and Filecoin for storage solutions.

Several projects focused on societal impact, including ÉireEncrypt, aimed at privacy-preserving blockchain tools for GDPR compliance, and SafeRoads Ireland, designed to promote safe driving through smart contracts. Additionally, projects explored decentralizing housing markets using Ethereum for rent control and fostering community integration with immigration-themed digital solutions, highlighting blockchain's potential to address real-world challenges in privacy, public safety, and education reform.

Overall, ETH Dublin 2025 facilitated collaboration among developers and partners, inspiring projects that leverage blockchain technology to create meaningful social impact.

Hackathon Winners

Prize Winners

1st Prize: RecEth
RecEth enhances user trust in crypto transactions by offering email confirmations and clear receipts, aligning the user experience with traditional payment systems through improved transparency.

2nd Prize: Latinum
Latinum functions as payment middleware, enabling MCP builders to monetize servers via a compatible wallet designed for agent-initiated transactions, streamlining the monetization process.

3rd Prize: Fundraisely
FundRaisely utilizes blockchain technology to assist charities in conducting legally compliant fundraising with transparent auditing, ensuring clarity and accountability in donation processes.

For more information on all projects, visit here.

Organization

About the Organizer: ETH Ireland

ETH Ireland fosters innovation and development in blockchain technology. With expertise in Ethereum, the organization contributes to advancing blockchain education and community engagement by hosting conferences and workshops. ETH Ireland's mission focuses on expanding blockchain literacy and promoting decentralized technologies across various sectors.

@ 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.

@ 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

@ b7274d28:c99628cb

In this second installment of The Android Elite Setup tutorial series, we will cover installing the nostr:npub10r8xl2njyepcw2zwv3a6dyufj4e4ajx86hz6v4ehu4gnpupxxp7stjt2p8 on your #Android device and browsing for apps you may be interested in trying out.

Since the #Zapstore is a direct competitor to the Google Play Store, you're not going to be able to find and install it from there like you may be used to with other apps. Instead, you will need to install it directly from the developer's GitHub page. This is not a complicated process, but it is outside the normal flow of searching on the Play Store, tapping install, and you're done.

Installation

From any web browser on your Android phone, navigate to the Zapstore GitHub Releases page and the most recent version will be listed at the top of the page. The .apk file for you to download and install will be listed in the "Assets."

Tap the .apk to download it, and you should get a notification when the download has completed, with a prompt to open the file.

You will likely be presented with a prompt warning you that your phone currently isn't allowed to install applications from "unknown sources." Anywhere other than the Play Store is considered an "unknown source" by default. However, you can manually allow installation from unknown sources in the settings, which the prompt gives you the option to do.

In the settings page that opens, toggle it to allow installation from this source, and you should be prompted to install the application. If you aren't, simply go to your web browser's downloads and tap on the .apk file again, or go into your file browser app and you should find the .apk in your Downloads folder.

If the application doesn't open automatically after install, you will find it in your app drawer.

Home Page

Right at the top of the home page in the Zapstore is the search bar. You can use it to find a specific app you know is available in the Zapstore.

There are quite a lot of open source apps available, and more being added all the time. Most are added by the Zapstore developer, nostr:npub1wf4pufsucer5va8g9p0rj5dnhvfeh6d8w0g6eayaep5dhps6rsgs43dgh9, but some are added by the app developers themselves, especially Nostr apps. All of the applications we will be installing through the Zapstore have been added by their developers and are cryptographically signed, so you know that what you download is what the developer actually released.

The next section is for app discovery. There are curated app collections to peruse for ideas about what you may want to install. As you can see, all of the other apps we will be installing are listed in nostr:npub1wf4pufsucer5va8g9p0rj5dnhvfeh6d8w0g6eayaep5dhps6rsgs43dgh9's "Nostr" collection.

In future releases of the Zapstore, users will be able to create their own app collections.

The last section of the home page is a chronological list of the latest releases. This includes both new apps added to the Zapstore and recently updated apps. The list of recent releases on its own can be a great resource for discovering apps you may not have heard of before.

Installed Apps

The next page of the app, accessed by the icon in the bottom-center of the screen that looks like a clock with an arrow circling it, shows all apps you have installed that are available in the Zapstore. It's also where you will find apps you have previously installed that are ready to be updated. This page is pretty sparse on my test profile, since I only have the Zapstore itself installed, so here is a look at it on my main profile:

The "Disabled Apps" at the top are usually applications that were installed via the Play Store or some other means, but are also available in the Zapstore. You may be surprised to see that some of the apps you already have installed on your device are also available on the Zapstore. However, to manage their updates though the Zapstore, you would need to uninstall the app and reinstall it from the Zapstore instead. I only recommend doing this for applications that are added to the Zapstore by their developers, or you may encounter a significant delay between a new update being released for the app and when that update is available on the Zapstore.

Tap on one of your apps in the list to see whether the app is added by the developer, or by the Zapstore. This takes you to the application's page, and you may see a warning at the top if the app was not installed through the Zapstore.

Scroll down the page a bit and you will see who signed the release that is available on the Zapstore.

In the case of Primal, even though the developer is on Nostr, they are not signing their own releases to the Zapstore yet. This means there will likely be a delay between Primal releasing an update and that update being available on the Zapstore.

Settings

The last page of the app is the settings page, found by tapping the cog at the bottom right.

Here you can send the Zapstore developer feedback directly (if you are logged in), connect a Lightning wallet using Nostr Wallet Connect, delete your local cache, and view some system information.

We will be adding a connection to our nostr:npub1h2qfjpnxau9k7ja9qkf50043xfpfy8j5v60xsqryef64y44puwnq28w8ch wallet in part 5 of this tutorial series.

For the time being, we are all set with the Zapstore and ready for the next stage of our journey.

Continue to Part 3: Amber Signer. Nostr link: nostr:naddr1qqxnzde5xuengdeexcmnvv3eqgstwf6d9r37nqalwgxmfd9p9gclt3l0yc3jp5zuyhkfqjy6extz3jcrqsqqqa28qy2hwumn8ghj7un9d3shjtnyv9kh2uewd9hj7qg6waehxw309aex2mrp0yhxyunfva58gcn0d36zumn9wss80nug

@ 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.

@ eb0157af:77ab6c55

Since 2019, the United States has been the country with the highest number of recorded cases, but Europe remains the most affected region.

According to a Binance report, the United States is the country that has recorded the greatest number of crypto-related kidnapping cases since 2019, despite a recent increase in incidents in France.

At the regional level, however, Europe remains the area with the highest number of crypto-related kidnappings: 59 cases over six years. During the same period, North America — which includes the United States and Canada — recorded 48 cases. Particularly notable is the data concerning the entire Asian continent, where 62 cases of crypto-related kidnappings have been documented, most of which are concentrated in Southeast Asian countries.

France emerges as a concerning hotspot for crypto kidnappings, with six recent cases, three of which have already occurred in 2025.

Source: Binance

The primary targets of these kidnappings include executives of crypto companies, professional traders, exchange employees, and entrepreneurs in the sector. Family members and close associates of victims are often targeted as well. An emerging phenomenon involves tourists suspected of possessing large amounts of cryptocurrency funds.

Kidnapping cases in 2025

The year 2025 has already seen particularly serious episodes of kidnappings linked to the digital asset world. The most notable case involved David Balland, co-founder of Ledger, and his wife, who were abducted from their residence in France earlier this January. The incident drew international attention from both the crypto industry and law enforcement agencies.

Another attempt took place in Paris, where armed men tried to kidnap the daughter and granddaughter of the CEO of the French exchange Paymium. Overseas, in New York, police arrested 37-year-old John Woeltz after discovering that an Italian tourist had been held captive and mistreated for weeks in a luxury Manhattan apartment.

Binance highlights a direct correlation between the price trend of Bitcoin and the increase in kidnappings. Since Bitcoin reached new all-time highs this year, attacks involving physical threats have also increased proportionally, the exchange suggests.

Source: Binance

In 2025 alone, at least 15 kidnapping episodes have already been documented, many involving ransom demands denominated in bitcoin.

The post Crypto kidnappings on the rise: the US leads global statistics appeared first on Atlas21.

@ a3c6f928:d45494fb

In a world dominated by noise, distraction, and constant motion, there’s a deeper kind of liberation that many yearn for—spiritual freedom. This is not freedom measured by external factors, but by the stillness within. It’s the kind of freedom that arises when you no longer feel enslaved by ego, fear, or the pursuit of approval.

What Is Spiritual Freedom?

Spiritual freedom is the ability to live in alignment with your highest truth. It means being free from the illusions of control, unshackled from the burdens of regret, and connected to something greater than yourself—whether that’s God, the universe, or your own divine essence.

It is peace that doesn’t depend on circumstance. It is joy that isn’t based on possession. It’s knowing who you are beyond the labels, titles, and roles you play.

Signs You’re Seeking Spiritual Freedom

You feel unfulfilled despite material success

You’re questioning your deeper purpose or path

You long for peace that outlasts the highs and lows

You’re becoming more drawn to stillness, simplicity, or presence

The Path to Inner Liberation

1. Let Go of the Ego: Ego thrives on identity, comparison, and control. Spiritual freedom comes when you stop living to protect or promote a false self.

2. Live in the Now: Freedom is found in presence. Not in what happened yesterday or what might come tomorrow, but in this exact breath.

3. Seek Connection Over Control: The more we try to control life, the more trapped we feel. Surrender doesn’t mean giving up—it means trusting a higher order and flowing with it.

4. Forgive and Release: Grudges and guilt are spiritual chains. Letting go of what weighs down your spirit is one of the most liberating things you can do.

5. Return to Love: At the heart of all spiritual freedom is love—not romantic love, but divine love, unconditional love, the kind that expands you rather than limits you.

Why It Matters

In chasing external freedom, we often forget that without inner peace, nothing ever feels free. Spiritual freedom is what makes outer success meaningful. It’s what allows us to face life’s storms without being broken by them.

---

“You find peace not by rearranging the circumstances of your life, but by realizing who you are at the deepest level.” — Eckhart Tolle

True freedom is not out there. It’s already within you—waiting to be remembered.

@ 9ecbb0e7:06ab7c09

Según nos reporta y documenta la familia, la niña pequeña de 3 años de edad Leadi Kataleya Naranjo, hija del preso de conciencia Idael Naranjo Pérez, ha sido citada para mañana por la Seguridad del Estado de #Cuba. La citación no ofrece duda e indica los dos nombres, apellido y la dirección de la abuela paterna, donde entregaron la citación, y la abuela también ha sido citada y amenazada de desobediencia. Si la niña no se presenta, amenazan de acusarla igualmente de "desobediencia". La abuela se preocupó, les dijo la edad, y aún así entregaron la citación y se fueron. Que "debían presentarse". Nada más. Desalmados son, pero... ¿Qué clase de locos de atar están al mando en #Cuba? ¿Qué pretenden citando y amenazando a una niña de 3 años? Esa niña no puede ir a esa ignominiosa citación. ¿A oír qué? ¿A responder qué? El tema da ASCO. La familia no quiere llevar a la niña, y necesitan todo el apoyo para que esta locura se aclare y se detenga. Desgraciadamente hemos visto cosas iguales o peores. Niños amenazados, separados por la fuerza de sus padres, menores torturados... El régimen de Cuba da mucho asco, por todos lados rezuma repugnancia y degradación. Todo lo que sucede en Cuba clama al cielo, y estas barbaries son distópicas. ¡MANTENGAN AL MARGEN A LOS NIÑOS, DESALMADOS ENFERMOS! Bastante daño causan con la Ley de los 8 años que tiene a miles de niños huérfanos, separados forzosamente de sus madres para castigarlas a ellas por no doblegarse a trabajar en las misiones médicas esclavas de Cuba en el exterior, como sentenció el Comité de los Derechos del Niño. ¡BASTA YA!

11jul #11j #11jCuba #CubaEsUnaDictadura #UNICEF @uniceflac @unicefenespanol

@ 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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价格低至1元。

@ 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.

@ 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

@ 2cde0e02:180a96b9

pen; monochromized

https://stacker.news/items/991836

@ 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