Summary
Fireship’s Jeff Delaney breaks down one of the most dramatic AI controversies of 2026: OpenAI’s claim to have solved the Navier-Stokes equations, one of mathematics’ seven Millennium Prize problems worth $1 million. The video explains what Navier-Stokes is — a set of fluid-dynamics equations foundational to hurricane forecasting, aircraft design, and medical simulation — and why a formal proof of whether they can “break” has eluded mathematicians for nearly 200 years.
The real story is the alleged conflict with Tristan Buckmaster, a Clay Research Award–winning NYU math professor, and Levent Alpagay, a mathematician at Anthropic. The two had spent a year developing a novel approach to the problem, using Claude Code and OpenAI’s Codex. OpenAI then reportedly used that same novel process with 10,000 agents and roughly $20 million in compute to claim a Navier-Stokes solution — without crediting the pair. Buckmaster says a call with OpenAI researcher Sebastian Bubck turned adversarial, with OpenAI allegedly asking him to drop Alpagay’s name from the paper because Alpagay works at a competitor.
The video presents both sides: Buckmaster and Alpagay published their own papers and a four-page public statement; OpenAI responded insisting no user data was accessed and that the two proofs are meaningfully different. The incident raises pointed questions about whether AI companies can train on private user sessions, how academic credit should work when AI tools are involved, and what competitive pressure between labs means for research ethics.
📺 Source: Fireship · Published September 11, 2026
🏷️ Format: News Analysis
