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OpenAI claims its internal agents have solved the existence and smoothness of solutions to the Navier-Stokes equations, a Millennium Prize Problem. This assertion relies on an AI system that reportedly generated a formal proof in the Lean language within 88 hours, surpassing previous performance metrics like GPT-6 Astra. The claim is highly significant as it suggests advanced models can tackle deep mathematical existence proofs traditionally reserved for human mathematicians, though independent verification of such a breakthrough remains essential before acceptance by the broader scientific community.
Sources coveringGDELT, Quantum Frontiers
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

OpenAI Model Solves One of Seven Millennium Prize Problems

GDELT6 min read

This concerns the Navier-Stokes equations. American corporation OpenAI announced that its internal model was able to find a solution to the Navier-Stokes equations—one of the seven "Millennium Prize Problems." "We present a solution to the problem of existence and smoothness of solutions to the Navier-Stokes equations—one of the 'Millennium Problems.' This proof, obtained using OpenAI's internal system, demonstrates that in the dynamics of the Navier-Stokes equations describing fluid motion, a singularity may arise within finite time. We publish both a description of the proof itself and its formalization in the Lean language," the corporation reports on its website. To solve the equations, agents of the internal AI model were used, whose performance metrics surpass GPT-6 Astra—its CEO of OpenAI called it the beginning of the "AGI era."…

Excerpt shown under the publisher's RSS terms · 127 words · full text and figures are on the publisher's site

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