OpenAI Claims a Multi-Agent System Solved the Navier-Stokes Millennium Problem
OpenAI says a group of agents running on an unreleased model 'significantly more capable than GPT-6 Astra' produced a proof for one of the seven Millennium Prize Problems. If it holds, it's the most consequential AI-generated result yet — and it hasn't been peer-reviewed.
OpenAI announced Tuesday that it had produced a solution to the Navier-Stokes Millennium Prize Problem, one of the seven unsolved mathematics problems for which the Clay Mathematics Institute has offered $1 million each. In its post, the company said the proof 'was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra.' The announcement went viral almost immediately, crossing 90,000 likes within hours.
The claim is extraordinary on two axes at once. The first is mathematical: Navier-Stokes existence and smoothness has resisted proof since the equations were written in the 19th century, and it is widely considered one of the hardest open problems in analysis. The second is about capability. OpenAI is not merely saying its flagship model helped — it is saying an internal model, not yet shipped and described only comparatively, drove a multi-agent workflow to a result that human mathematicians have not reached.
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