Sam Altman at Dreamforce ranked how fast AI got smarter at math.
This is a AI post classified by Jev as Frontier models (a model release), kept by the AI Radar because it carries real work, not commentary.
Sam Altman at Dreamforce ranked how fast AI got smarter at math. GPT-5.5: as good as an average math professor. GPT-5.6: top 1-2% math professor. Astra: a little better than that. Then he said their internal model past Astra "can do things the best mathematicians in the world cannot." That progression happened in roughly 4-6 months. An internal OpenAI model reportedly helped produce a proposed proof for the Navier-Stokes problem. One of the seven Millennium Prize Problems in mathematics. Unsolved for decades. 10,000 AI agents. 88 hours. Millions of messages. Hundreds of billions of tokens
Posted by Vaibhav Sisinty (172.8k followers) 3 days ago · 100 likes · 14k views · view the original post on X. Kept by the AI Radar as Frontier models.
More AI work like this
- gpt 5.6 terra = gpt 6 astra — @notjazii
- wow — @HarshithLucky3
- 🚨 Gemini 4 Pro is absolutely cooking — @Mr_Salio
- anthropic is about to mog everyone with new models — @notjazii
- woke people still don’t want to accept AIs good potential, while AI be like to them🖕🏻 — @SciTechera
- @AdamHoltererer — @AdamHoltererer
- GPT 6 Astra Pro builds OCD simulator: — @AdamHoltererer
- july 20, 2027. claude 6 mendel waking up in anthropic wet lab — @dejavucoder
Every post is read and classified by Jev (TypeSafe): what it is, which market it belongs to, and whether the link is a real tool. 27.2k posts from 4.8k X accounts over the last 14 days, 1.2k tools, 19 markets. Collected every 5 minutes, fully re-ranked every hour — last update 2026-09-19 18:45 UTC. Full method.