GoKawiilOpenAI claims internal AI model solved Navier-Stokes smoothness problem in 88 hours
OpenAI says an unreleased internal AI model, running roughly 10,000 autonomous agents, produced a proof addressing the long-unresolved Navier-Stokes existence and smoothness problem within about 88 hours. The effort began after the company heard rumors that two Millennium Prize problems had been cracked elsewhere, prompting it to test the model on outstanding mathematical challenges. The result has not been peer-reviewed or accepted by the Clay Mathematics Institute, which oversees the Millennium Prize.
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Navier-Stokes equations describe fluid turbulence, a phenomenon central to physics, engineering and weather modeling, so a genuine proof would be a landmark achievement in mathematics. The claim also signals OpenAI's push to showcase rapidly advancing reasoning capabilities in unreleased models, though unverified results from AI labs invite skepticism until independently confirmed by mathematicians.
- OpenAI says an internal, unreleased AI model tackled a 90-year-old fluid dynamics problem.
- Roughly 10,000 AI agents worked together to produce a solution in about 88 hours.
- The claimed proof still needs independent verification and Clay Mathematics Institute recognition.
The Millennium Problems by Keith Devlin — If OpenAI's Navier-Stokes claim has you curious, Keith Devlin's book walks through all seven Clay Mathematics Institute Millennium Prize problems in plain language, including the fluid-flow puzzle at the heart of this story. It's a great way to understand why mathematicians have chased these proofs for decades and what a verified solution would actually mean.
See The Millennium Problems by Keith Devlin on Amazon → Affiliate link — we may earn a commission on purchases, at no extra cost to you. Product picked by AI based on this article; it is not a tested recommendation.Source: bbc.co.uk — Watch Our Pick Of Standout Clips Across The Bbc, 2026-09-08
Published there as: “OpenAI says it cracked 90-year-old maths problem in 88 hours”
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