OpenAI Claims It Cracked Navier-Stokes. A Mathematician Says That's His Work. Peer Review Exists For A Reason.
OpenAI announced Tuesday that an unreleased model solved the Navier-Stokes existence and smoothness problem, one of seven Millennium Prize Problems standing since 2000. NYU professor Tristan Buckmaster alleges the company may have used data from his work with Levent Alpoge, a mathematician at Anthropic, to achieve this result. The Clay Mathematics Institute has not confirmed the solution.
This illustrates the provenance problem in AI research. When models train on vast corpora of human scholarship, attributing a breakthrough to the model versus the underlying human work becomes genuinely ambiguous. The mechanism here is data contamination, and it will define academic integrity disputes for the next decade.
OpenAI claims the breakthrough using an unreleased model. Tristan Buckmaster of NYU and Levent Alpoge of Anthropic are the researchers whose prior work may have informed it.
- Visit claymath.org and read the Millennium Prize Problems page to understand what Navier-Stokes actually asks. You will see why it matters.
- Search for Tristan Buckmaster's published papers on Navier-Stokes to see the human work that preceded this claim.
- Open ChatGPT and ask it to explain the Navier-Stokes problem at an undergraduate level. You will get a competent summary. That is not the same as solving it, which is rather the point.