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OpenAI claims to have solved the 90-year-old Navier-Stokes math problem in 88 hours

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Why This Matters

OpenAI says a swarm of roughly 10,000 coordinated AI agents produced a solution to the Navier\u2013Stokes problem, one of the seven Millennium Prize Problems, in about 88 hours. If verified, it would be a landmark demonstration that AI systems can generate original, frontier-level mathematical research rather than just assist with it. For now the claim is unverified\u2014the Clay Mathematics Institute has not commented\u2014so the significance hinges on peer review.

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OpenAI says it solved the 90-year-old Navier–Stokes mathematics problem in 88 hours, using 10,000 agents and a new artificial intelligence model.

In a release published Tuesday, OpenAI — the company behind the ChatGPT AI chatbot — said it was "sharing a solution" to the problem, which relates to how fluids move.

It said it used a system of "coordinating agents" powered by its internal AI model.

"The agents had access to tools such as the ability to read from a cached version of the internet and the ability to run code. Agents were subdivided into groups with the ability to communicate within the group," OpenAI said. "The groups varied in size, and the group that produced the Navier–Stokes resolution involved on the order of 10,000 concurrent agents."

"The agents arrived at their resolution on Saturday, September 5, about 88 hours after the first agents were launched," the company added.

Navier–Stokes is one of seven Millennium Prize Problems, considered to be among the most difficult mathematical problems at the start of this century.

The Clay Mathematics Institute of Cambridge, Massachusetts, which founded the Prize Problems, has not yet commented on OpenAI's proposed solution.