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…

*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

Obama: "If you put women in charge of every government for two years... I have a strong belief that things would be better. I'm confident about that."

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/

Some data we recently assembled on entrepreneurship/compute in Europe: eudata.vercel.app. We hope that one of the useful roles that Stripe can play is in collecting and publishing empirical data pertaining to entrepreneurship and industry in Europe. There's growing appetite to get Europe on a better footing, and cross-sectional comparisons can often shine light on where opportunities lie. If you're interested in this kind of thing, we publish more at stripeeconomics.substack.com.

We’re working with an independent advisory group of mathematicians to help OpenAI responsibly share advances in AI and mathematics. The group will advise on how we assess and communicate new mathematical results, uphold academic and professional standards, and build tools that support mathematical research and learning. Through this work, we want mathematicians to be at the center of shaping how AI supports mathematical understanding and how its benefits reach the wider community. openai.com/index/advisory-gr…

Mathematician Terence Tao: "we have to slow down AI. the pace is insane, and there's no reason to be this fast — no reason at all" It's amazing how willing we are to change everything without any idea what happens afterward These are extremely nonlinear dynamics

Mathematician Terence Tao: "we have to slow down AI. the pace is insane, and there's no reason to be this fast — no reason at all" It's amazing how willing we are to change everything without any idea what happens afterward These are extremely nonlinear dynamics

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…

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…

I am increasingly frustrated about the state of conversation about AI in the UK. It feels like we are in never ending cycles of deluded thinking. Under current trends, Britain will be defenceless against the transformative effects of AI and have no leverage over development at the frontier. We are the most exposed economy to AI in the world. We have very little data centre capacity and few credible plans to expand – and our high energy costs mean we would struggle to even if we tried. I am publishing a paper today on what the UK should do to build that leverage, let the economy capture value from AI and prepare the state to adapt, however AI develops. The three strategies are as follows: 1. Build the infrastructure that gives us leverage. Fix the grid, fix planning, make Britain a place frontier AI can run. 2. Let the economy capture the value of AI. Reform the regulatory, labour and talent barriers that stop British firms adopting AI. 3. Build a state that can adapt to a changing world. Build a tax base that survives the labour market changing, public services that use AI to deliver better, and capacity to weather the upcoming geopolitical storms. Two years ago, we published a similar report on AI - many recommendations of which ended up in the action plan. I remember feeling hopeful, but sadly the fundamental problems facing the country on AI have not shifted. I truly hope that this week of momentum culminates in action. There’s still a narrow path for the UK, but everyday that path is narrowing.

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.