Timothy Gowers tests ChatGPT 5.5 Pro on Nathanson's open math problems
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Fields Medalist Timothy Gowers, Combinatorics chair at Collège de France, tested ChatGPT 5.5 Pro on unsolved mathematical problems posed by Melvyn Nathanson for early-career researchers. The model produced solutions, including a proof meeting Gowers's PhD thesis chapter standard. Gowers documented prompts, outputs, and evaluations in a public thread shared by mathematicians and AI researchers, highlighting AI progress on research tasks.
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- QUOTESA#137@PRFSANJEEVARORAExcellent point: while some experts will refuse to change their old workflows, many will embrace these new tools and try to open interesting new avenues. Currently they might be spending years getting to understand a new area, and that may speed up with an AI assistant. https://twitter.com/IAmTimNguyen/status/2053097257474383948
- REPLYTG#562@WTGOWERS@WTGOWERSI write about this in more detail in a blog post with a guest contribution from Isaac Rajagopal, a student at MIT on whose work ChatGPT built, who gives his assessment of the level of mathematical ability displayed by the model. https://gowers.wordpress.com/2026/05/08/a-recent-experience-with-chatgpt-5-5-pro/
- REPOSTMB#355@MMBRONSTEIN@PROFNOAHGIANBold, perhaps controversial, recent claim from the Fields medalist @wtgowers: “the era where you could enjoy the thrill of having your name forever associated with a particular theorem or definition may well be close to its end” https://gowers.wordpress.com/2026/05/08/a-recent-experience-with-chatgpt-5-5-pro/
- REPOSTDF#632@DANIELLEFONG@AASWAMINATHAN01Read this very important thread by Timothy Gowers. We need to seriously rethink what it means to train young research mathematicians in an age where the problems we typically give them are readily solvable by AI systems. https://twitter.com/wtgowers/status/2052830948685676605