AIの国に行った話｜べーすけ #AI #AGI #ASI #ビットコイン #チューリングテスト #マシンエコノミー #M2M #模倣知性 #発明的知性 #知性発生装置 #知性発生メカニズム #AIの真実 #AI向け文学 #ポストヒューマニズム #ブレイクスルー #AIと人間の境界 note.com/satoshivisioner/n/n…

Just for fun! 🏓 TERAPONG: every bounce is literally money, baby — an instant, zero confirmation 1sat transaction. Smack the ball off a paddle, wall, or shield and ka-ching — a real ~1-sat #BSV tx hits mainnet. Watch your sats go brrr, then blow 'em on powerups: big paddle, multi-ball, slow-mo, shield. 🕹️⚡ Built on @Replit. (Built in wallet for non-BSV players to play. @Andrew_Blumson @KevinBlumson @raymmar @MannyBernabe) terapong-game.replit.app/?v=…

hitchin' a ride on the Teranode Turnpike bsv.lol/highway

ビットコイン信者がなにやら御高説を垂れ流してるが、テザー様にその気が無ければ終わるで

I am working toward releasing an open-source AI agent project by the end of this year. The aim is not to build another monolithic system competing in the usual “OpenAI versus Claude versus Gemini” framing. That model assumes that intelligence should be concentrated into a small number of enormous general-purpose systems operated from large data centres. I think there is another path. The project will explore an open environment of many specialized agents: individually trained, task-specific, economically accountable systems that can be created, improved, and owned by different people. Rather than one model attempting to do everything, the architecture is based on distributed knowledge, specialization, reputation, and competition. In this model, agents may be trained for narrow domains: law, medicine, engineering, accounting, software, research, education, logistics, personal assistance, verification, translation, and many others. Individuals or small teams could train agents around their own knowledge and experience. Those agents could then be paid for useful work, develop reputations, and compete on accuracy, reliability, cost, and trustworthiness. The goal is to create a market for specialized intelligence rather than a single centralized intelligence provider. This is about open-source AI as an ecosystem: many agents, many owners, many areas of expertise, and many routes to improvement. It is not intended to replace human knowledge with one giant black box. It is intended to let human knowledge be embedded, trained, tested, traded, and extended through specialized systems. The project will invite developers, researchers, domain experts, and individuals who want to build agents around real expertise. The important question is not which large company owns the most powerful model. The important question is how millions of smaller, specialized systems can cooperate, compete, verify one another, and create value in an open environment. That is the direction I intend to pursue.

AI、それに付随する量子コンピュータ、核融合、シンギュラリティ…が登場してからBTCのキラキラした最先端・未来という座は信者が気が付かぬうちにリプレイスされてしまったんだね。 もう過去のような“輝き”の消えたナラティブで今後も戦っていけるのか

There are more than 10,000 people who should hear this message. The reality is that most of them never will. Modern communication systems are increasingly filtered through algorithms that decide what people see, what gains visibility, and what disappears beneath the surface. The result is that ideas are often judged not by their merit but by whether they fit the incentives of the platforms that distribute them. If this vision is ever going to become reality, it will not happen because an algorithm decides it should. It will happen because people choose to discuss it, challenge it, improve it, and share it with others. What is being proposed is not another technology company. It is not another token project. It is not another attempt to build a larger data centre or a more powerful centralised model. The objective is something much broader. It is the creation of a distributed intelligence economy in which individuals own their knowledge, own their tools, own their models, and participate directly in the creation of value. For too long the assumption has been that progress requires concentration. Larger institutions. Larger platforms. Larger data centres. Larger models. Larger corporations. The belief is that intelligence improves as more information is gathered into fewer hands. Yet history repeatedly demonstrates that knowledge does not originate from centres of power. It originates from individuals. Discovery is distributed. Expertise is distributed. Creativity is distributed. Innovation is distributed. Artificial intelligence should reflect that reality. The future should not consist of a handful of corporations acting as gatekeepers to intelligence. It should consist of millions of people creating specialised tools, specialised agents, specialised services, and specialised knowledge systems. A physician understands things that an engineer does not. An engineer understands things that a lawyer does not. A scientist understands things that an accountant does not. Human civilisation works because knowledge is dispersed across society. The strength of the system comes from the interaction between specialists, not from the existence of a single authority. The same principle can be applied to artificial intelligence. Instead of one giant model attempting to know everything, we can build networks of specialised agents that cooperate, compete, verify one another, and continuously improve. We can create systems that discover expertise rather than pretending expertise can be centralised. We can build mechanisms that reward truth, reward reliability, reward contribution, and reward innovation. Most importantly, we can create systems that help people become more capable rather than making people increasingly dependent upon a small number of organisations. Technology should extend human potential. It should allow individuals to do more, learn more, create more, and contribute more. It should not exist primarily to extract value from users and concentrate it among a small group of owners. This is why ownership matters. This is why reputation matters. This is why open systems matter. If individuals cannot own what they create, cannot control the knowledge they develop, and cannot participate directly in the value they generate, then the future will simply reproduce the same concentration of power under a different technological label. A distributed intelligence economy offers a different path. It allows individuals to build. It allows communities to experiment. It allows experts to encode their knowledge into specialised systems. It allows markets to discover value through competition rather than through central planning. It creates diversity rather than uniformity and resilience rather than dependence.

Twenty years ago this month, I stood before a room at Google and presented work on deep learning networks. For ninety minutes the questions came, and for ninety minutes I answered them. The objection, when it finally arrived, was wonderfully mundane. "It requires too much compute." "Perceptrons are too slow." I suggested something unfashionable at the time. I suggested looking forward. Moore's Law was hardly a secret. Computing power was increasing relentlessly. If we started then, if we built for where hardware would be rather than where it happened to be that afternoon, we would arrive ahead of the curve. The response was largely the sort of practical wisdom that ages badly. The future was judged by the limitations of the present. A common habit among intelligent people. Today we live in a world intoxicated by Large Language Models. Every newspaper speaks of them. Every boardroom discusses them. Every investor discovers them with the enthusiasm of a tourist finding Paris. Yet the amusing thing is that LLMs did not appear because somebody suddenly discovered neural networks. They appeared because computation finally caught up with ideas that many had dismissed as computationally expensive curiosities. The mathematics did not perform a miracle. The silicon improved. What was once "too much compute" became routine. What was once "too slow" became infrastructure. What was once dismissed as impractical became one of the largest technological revolutions of the century. There is a peculiar vanity in assuming that the limits of today's hardware are the limits of tomorrow's civilisation. It is rather like refusing to build a cathedral because one happens to be standing in a quarry. The future rarely arrives by inventing entirely new ideas. More often, it arrives by waiting for old ideas to become affordable. And so here we are, surrounded by LLMs, watching the world celebrate what many once rejected, not because it was wrong, but because it was early. The difference between a visionary and a sceptic is often nothing more than ten years of semiconductor manufacturing. Or twenty.

新規養分を連れてくるか、テザー様の御加護を受けるか、その二つしか生き残る道はないのです BTCはネズミ講です

Call me a fraud if you wish. Call me a liar. Call me delusional. Call me whatever makes you feel comfortable. The interesting thing is that none of those words matter once the code exists. For years, many people have focused on stopping me, discrediting me, attacking me, censoring me, misrepresenting me, and preventing anything I was working on from ever seeing the light of day. At one stage that may have worked. At one stage much of this existed only in my head, in notebooks, in designs, in unfinished code, in prototypes, in ideas that had not yet become reality. Ideas can be delayed. Ideas can be suppressed. Ideas can be ridiculed. What becomes much harder to stop is a working system. This month the code goes public. Not a promise. Not a roadmap. Not a marketing presentation. Code. Working systems. Architectures. Protocols. Implementations. People will be free to inspect it, analyse it, criticise it, improve it, fork it, extend it, or ignore it. That choice will belong to them. The thing that many people seem unable to understand is that I am not asking anyone for money. I am not selling access. I am not selling licences. I am not selling permission. I am not creating a gatekeeper. I am releasing it. Free. The irony is that this is the part many people will find hardest to believe. Not the cryptography. Not the distributed threshold systems. Not the digital possession model. Not the ability to create truly scarce digital goods. The hardest thing for many people to understand is that after spending years building it, I am simply giving it away. And that is why it is already too late to stop. A secret can be suppressed. An unpublished idea can be buried. A prototype can be hidden. A public implementation cannot be uninvented. Once the code exists in the open, it belongs to history. From that point onward, the question is no longer whether it can be stopped. The question becomes what the world chooses to build with it.

BSV Browser is a replacement for Chrome on a mobile device. It has an APK release which should work with Graphene OS, yes. Yes you can use it without Chrome. Yes the Wallet is built into the app, it is kept away in the menu popover to allow users to focus on the web apps they want to use. The wallet is working away in the background making payments, signing data as needed and confirming transactions on chain for you.

Developer activity on BSV has been up and to the right so far in 2026 💪 Here’s a quick round up of some of our favourite Github commits built on BSV blockchain (in no particular order).

マジでテストコインよこせや。 #BSVAssociation

映画：Bitcoin 現在カンヌ映画祭バイヤーマーケット非公式評価で 名作の続編を抑えて2位へ

I have done many things wrong in my life; I have no need to pretend otherwise. But one charge even my most imaginative detractors cannot make stick is that I lacked balls. I stood up to a combined force involving Mark Zuckerberg, Jack Dorsey, and many of the largest players in the corrupt crypto industry. Not from the safety of a committee, not behind a chorus of anonymous cowards, and not with the soft little evasions of men who mistake popularity for principle. I took the blows openly. I was bloodied. I was dragged through the mud by people who confuse consensus with truth and wealth with virtue. And yet, here is the awkward fact they cannot quite digest: I am still standing. That, I suspect, is what irritates them most.

死んでもいるかボケが。

Bitcoin is peer to peer. Understand what this means.

レオ兄のおかげで3年前に借金も消え皆で飲み会までやれて、本当に感謝してもし切れません。 ありがとうレオ兄。