OpenAI Claims Breakthrough on the Navier-Stokes Millennium Problem Using AI Agents

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In a major on-chain news update, OpenAI announced on September 9 (UTC+8) that it has solved the Navier-Stokes existence and smoothness problem using AI agents. A next-generation model, more powerful than GPT-6 Astra, led the effort, with 10,000 agents working in parallel for 88 hours. GPT-6 Astra spent 17 hours formalizing the proof in the Lean theorem prover. The research demonstrates that three-dimensional fluid motion can develop singularities in finite time. OpenAI released a 165-page paper and Lean code, but the Clay Mathematics Institute still lists the problem as unsolved, pending peer-reviewed validation. This development contributes to the growing trend of AI + crypto news.

ME News reports that on September 9 (UTC+8), OpenAI announced it has solved the Navier-Stokes existence and smoothness problem, one of the Millennium Prize Problems, which had remained unsolved for approximately 90 years.

This proof was completed by a team of agents using OpenAI’s next-generation model, significantly more capable than GPT-6 Astra. OpenAI reports that approximately 10,000 agents worked in parallel over about 88 hours to derive the proof, followed by formal verification in the Lean theorem prover by GPT-6 Astra in 17 hours. The proof demonstrates that singularities can form in three-dimensional fluid flow within finite time: vortices contract inward, their cores stretch and accelerate until velocities become unbounded, while the system’s total energy remains finite. OpenAI has published the 165-page proof manuscript and the formalized Lean code, and has stated it does not intend to claim the $1 million prize. The Clay Mathematics Institute still lists this problem as unsolved, as its rules require the solution to be published in a qualified journal, remain publicly available for at least two years, and gain widespread acceptance within the mathematical community before being considered for the award.Source: X

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