AI will not make mathematicians obsolete
It was only the second of the seven Clay Millennium Prize Problems ever resolved, after Grigori Perelman’s proof of the Poincaré conjecture, and the first of those magnificent seven to fall to a machine. Answering it requires a closer look at what the machine has accomplished and what remains to be understood. The distinction goes to the heart of what it means to do mathematics.In truth, what the machine did was to settle a much weaker version of the problem — one in which the fluid is allowed to be stirred by an artificial external force, contrived for the purpose.
- ▪It was only the second of the seven Clay Millennium Prize Problems ever resolved, after Grigori Perelman’s proof of the Poincaré conjecture, and the first of those magnificent seven to fall to a machine.
- ▪Answering it requires a closer look at what the machine has accomplished and what remains to be understood.
- ▪The distinction goes to the heart of what it means to do mathematics.In truth, what the machine did was to settle a much weaker version of the problem — one in which the fluid is allowed to be stirred by an artificial external force, contri
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| Original publisher | Hacker News (AI / LLM) |
| Canonical URL | https://hxstem.substack.com/p/ai-will-not-make-mathematicians-obsolete |
| Publication time | Tue, 15 Sep 2026 22:18:52 +0000 |
| Retrieval time | 2026-09-15T22:26:53.015Z |
| Last seen | 2026-09-15T22:26:53.015Z |
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AI will not make mathematicians obsoleteSergiu KlainermanSep 14, 202616365ShareOn September 8, 2026, OpenAI announced that one of its internal, unreleased models had solved the Navier–Stokes problem — the question, open for close to a century, of whether the standard equations of fluid flow (the mathematical model underlying weather forecasting and the theory of turbulence) can spontaneously break down. It was only the second of the seven Clay Millennium Prize Problems ever resolved, after Grigori Perelman’s proof of the Poincaré conjecture, and the first of those magnificent seven to fall to a machine.
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