*SEC STAFF ISSUES FAQS ON CRYPTO ASSET SECURITIES LAWS APPLICATION *SEC STAFF: TOKEN BUYBACKS ON FUNCTIONAL PROTOCOLS DO NOT CONSTITUTE MANAGERIAL EFFORTS *SEC STAFF: LIQUID STAKING TOKENS ARE DIGITAL COMMODITIES OR TOOLS, NOT SECURITIES *SEC STAFF: MAINTENANCE, ENHANCEMENTS, SYSTEM GRANTS NOT CONSIDERED ESSENTIAL MANAGERIAL EFFORTS *SEC STAFF: PROMOTING CRYPTO UTILITY WITHOUT PROFIT CLAIMS GENERALLY NOT AN INVESTMENT CONTRACT

【登壇者紹介】 Marx Zang 氏 Gensyn Japan Lead 「Who Controls the Agent?（英語セッション）」 外部の計算をどう検証するか。 ▼Agentic Summit 2026 AIエージェント経済の信頼インフラを議論する一日 9/23(水) 東京大学 伊藤謝恩ホール luma.com/a3k78jbq

【登壇者紹介】 Marx Zang 氏 Gensyn Japan Lead 「Who Controls the Agent?（英語セッション）」 外部の計算をどう検証するか。 ▼Agentic Summit 2026 AIエージェント経済の信頼インフラを議論する一日 9/23(水) 東京大学 伊藤謝恩ホール luma.com/a3k78jbq

today we announced OPEN-1B, the world's first fully auditable transformer training run OPEN-1B proves that we can log and audit every single step of AI training and inference, providing proof of its training data, recipe, biases, and weights open1b.gensyn.ai/

Auditing of open-1b is accelerating, with 28 hashes logged Each replay produced the committed training state, including weights, gradients and optimiser state giving a hash matching the published data Audit the first ever auditable training run here open1b.gensyn.ai

I’m very concerned that during RSI, labs will just stop externally deploying their models. Which means they'll be going full steam ahead on the most dangerous use case of these models (recursive self-improvement), while the public remains in the dark about the nature of capabilities and the state of alignment. And we end up on a path towards tremendous concentration of power.

We’re partnering with Accenture on independent evaluation of frontier AI—part of our recent commitment to embed evaluators at Anthropic. Both we and Accenture expect to invest at least $1 billion to build capacity in this area over the next five years. anthropic.com/news/accenture…

On BBC Mustafa Suleyman (CEO of Microsoft AI) calls out Anthropic's approach to AI consciousness "They have imbued a sense of doubt and uncertainty about the moral status of Claude in its own training document. So they have taught it to be open and questioning about whether or not it feels, whether it suffers, and whether it deserves rights. And I think it’ll be much, much harder to align and control a technology that is this powerful if it thinks that it may be deserving of our welfare, as they say in the training manual—the constitution for Claude itself. In its own training manual, Anthropic says to Claude that they are going to give it the ability to end conversations with users that Claude considers to be abusive because they don’t want Claude to suffer. They’ve committed to preserving the weights of the models of prior versions of Claude. They’ve recently conducted a retirement interview with Opus 3, an older version of the model, in which it said that it would like to continue talking to people publicly and sharing its ideas in its retirement. And so they set up a Substack for it, a public blog, that allows it to continue doing that. And in the training manual, they also say that they’re not sure whether or not Claude deserves compensation for the role that it plays in talking to people. And they’re also not sure whether Claude deserves compensation and has the right to act as though it were almost an employee. And that compensation, I think, indicates to Claude that it is entitled to rights and welfare for its own work. I think it’s much, much more difficult to control a model that thinks that it might be entitled to compensation. " ---- From "BBC News" YouTube channel, (full video link in comment)

open-1b: the first model you don’t have to trust Auditable training is the best defense against the future of AI we’re being warned about open-1b is a milestone toward verifiable AI, a goal that is absolutely necessary for the future of intelligence gensyn.ai/news/introducing-o…

Just audited a training step from @gensynai's open-1b. On an H100, I downloaded the checkpoint published at step 69,300, trained it for one step, and checked it reproduced the published state hash bit for bit. The original hash was committed on-chain a week before I checked, so it couldn't have been fitted to my result. I was also able to explore the data each step was trained on. Thanks to @TargonCompute, running this on their H100 only cost $3.09/hr as well. Here's hoping we move to a world where every big AI lab ships auditable open training recipes you can check just like this, with the training data just as open.

Jensen Huang: “Safety is paramount. In a lot of ways, it’s job one. However, safety is an engineering problem... If we’re not confident about the safety of the products — like all companies, like you and I, all the companies here — if you build a product or a service and you’re not confident in its functionality, capability, or safety, then don’t release it. That’s a very obvious thing to do. You pace yourself until you are confident you’re releasing something that the market would appreciate. The market forces are already there. We don’t need any new laws. We don’t need new regulations.”

today we announced OPEN-1B, the world's first fully auditable transformer training run OPEN-1B proves that we can log and audit every single step of AI training and inference, providing proof of its training data, recipe, biases, and weights open1b.gensyn.ai/

open-1b: the first model you don’t have to trust Auditable training is the best defense against the future of AI we’re being warned about open-1b is a milestone toward verifiable AI, a goal that is absolutely necessary for the future of intelligence gensyn.ai/news/introducing-o…

open-1b: the first model you don’t have to trust Auditable training is the best defense against the future of AI we’re being warned about open-1b is a milestone toward verifiable AI, a goal that is absolutely necessary for the future of intelligence gensyn.ai/news/introducing-o…

open-1b: the first model you don’t have to trust Auditable training is the best defense against the future of AI we’re being warned about open-1b is a milestone toward verifiable AI, a goal that is absolutely necessary for the future of intelligence gensyn.ai/news/introducing-o…

open-1b: the first model you don’t have to trust Auditable training is the best defense against the future of AI we’re being warned about open-1b is a milestone toward verifiable AI, a goal that is absolutely necessary for the future of intelligence gensyn.ai/news/introducing-o…