Jaron M retweeted
Hosting our first hackathon at the Speedrun offices in Jackson square to close out SF Tech Week!
See y’all in LA next!!
Jaron M retweeted
Replying to @andrewchen
@andrewchen kicking off this highly prestigious and selective @a16z @speedrun hackathon that I’m excited to build at today.
#speedhacks2026
Jaron M retweeted
OpenAI has released 722 papers instead of 400.
My pick is the claimed proof of the quasi-Riemann hypothesis—result #003
github.com/openai/math/blob/…
OpenAI says an unreleased internal model attempted approximately 4,000 problems, with each result averaging compute equivalent to three hours of ChatGPT Pro thinking.
We’re releasing a broad range of new mathematical results produced by an internal frontier model.
We’ve been consulting with the independent Advisory Group on Mathematics and Artificial Intelligence at the Institute for Advanced Study, and we have drawn on their advice and public recommendations to inform how we release these results.
github.com/openai/math
Wow….wonder how much of these will hold. But atleast a few do still extremely impressive. Now let’s see these models tackle some healthcare problems
We’re releasing a broad range of new mathematical results produced by an internal frontier model.
We’ve been consulting with the independent Advisory Group on Mathematics and Artificial Intelligence at the Institute for Advanced Study, and we have drawn on their advice and public recommendations to inform how we release these results.
github.com/openai/math
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Jaron M retweeted
Navier-Stokes was already insane.
If Hodge is real too, we’re talking about AI solving multiple Millennium Prize Problems within days.
I don’t think people have remotely processed what that would mean for the rate of scientific progress.
We’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics.
The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra.
The problem concerns whether the description of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.
Recommend watching @vkhosla’s latest talk on company building. Some very useful constructs
• Hardest founder job is deciding whose judgment to trust on which topic.
• There’s a difference between a $0M company and a $0B company. It’s reflected in the mindset, first 10 hires, how you talk about yourself, whether you actually think big.
• The way to think about burn is like driving a race car. When you see a curve, you want to brake as late as possible and as quick as you can. Ability to reduce burn quickly (e.g., marketing spend, contractors vs FTE) gives flexibility in experimenting
• Obstinate on vision, flexible on tactics. Zigzag to Everest. Don’t take the fast-revenue side trail if it isn’t the mountain.
• Waste some money on purpose. Test assumptions you don’t know are assumptions. Square Cash was “waste” and became huge.
* Organized chaos > perfect management early.
• Hire for the risks in the business, not just open roles. Experts often know the previous version of the world; large innovations rarely come from people who “knew the industry.” First 10 hires hire the next 500.
• Survive long enough to give luck a chance. 3 things you control, 3 your competitors control, 4 are luck.
Time for the goalpost to move
Replying to @ChaseLochmiller @OpenAI
GPT-6 Astra, trained on ~100K+ NVIDIA Grace Blackwell NVLink72. From ChatGPT to o1 to Astra in 4 years.
AGI has arrived. Congratulations @OpenAI team.
400K GPUs coming online next.
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This is probably one of THE moments we’ll look back on. Of course many questions but this is EXACTLY what I believe most folks want to see these “Frontier AI” companies work on. Stuff applied to the Physical World…
Today, we're kicking off the first phase of the research preview for Model Hardware Standard (MHS): a new standard for AI agents to safely operate physical equipment in scientific research and advanced manufacturing.
Read more: anthropic.com/news/model-har…
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Jaron M retweeted
Today, we're kicking off the first phase of the research preview for Model Hardware Standard (MHS): a new standard for AI agents to safely operate physical equipment in scientific research and advanced manufacturing.
Read more: anthropic.com/news/model-har…
Jaron M retweeted
There may not be many people left in 10 years who can write, or want to read, things longer than a page or two. But there will be at least a few of us, and we'll be a powerful club.
Avengers…. this is awesome
Announcing Discovery Loop!
I am very excited to announce that, along with my longtime friends and collaborators @Sanjay_Ghemawat, @OriolVinyalsML and @quocleix, we are founding Discovery Loop (@DiscoLoopAI), a Public Benefit Corporation whose mission is to automate machine learning, science, and engineering to accelerate discoveries and progress. The four of us have worked together for 14 to 30 years, and have helped build some of the world’s most used products, infrastructure and AI models, and we’re excited to turn our attention to this ambitious endeavor.
♾
Learn more at: discoveryloop.com
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