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Large Language ModelsOpenAI BlogPublished: Sep 9, 2026, 04:00 JST

OpenAI AI resolves Navier–Stokes Millennium Problem

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OpenAI AI resolves Navier–Stokes Millennium Problem

3 Key Points

  1. What happened

    OpenAI's internal system proved that smooth fluid motion can break down into a singularity in finite time, resolving the Navier–Stokes Millennium Prize Problem.

  2. Why it matters

    The question had been unresolved for roughly 90 years; OpenAI shared both a writeup and a formal proof in Lean, and does not claim the prize.

  3. What to watch

    The result hinges on whether the mathematical community accepts the proof; OpenAI notes its model is significantly more capable than GPT‑6 Astra.

WHO IT HITSMathematicians and fluid dynamicists will need to verify the proof; AI researchers and business leaders should watch for further demonstrations of AI's capability in scientific discovery.

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Context & Analysis

OpenAI's announcement highlights a significant leap in AI reasoning, as the internal model outperforms GPT‑6 Astra in benchmarks. The effort began after rumors of other resolutions and involved a multi-agent system with 4.9 million messages and 300 billion output tokens. The proof's Lean formalization adds rigor, and OpenAI acknowledges concurrent work by Levent Alpöge and Tristan Buckmaster on a related Euler problem. This milestone suggests AI can tackle frontier mathematical challenges, but its acceptance will depend on peer review and the broader mathematical community's validation.

FAQ
What was the Navier–Stokes problem?
It asks whether smooth three-dimensional fluid motion can break down, developing a singularity. OpenAI's proof shows this can happen in finite time with a smooth external force.
How did OpenAI's system find the proof?
Agents coordinated by an internal model worked for about 88 hours, starting September 5, using code execution and cached internet access. The group involved about 10,000 concurrent agents.
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Also reported by Semafor Tech

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