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View original post on X: Noam Brown· Pick67/100AI score67/100

OpenAI shares an AI-generated solution to the Navier-Stokes Millennium Prize Problem

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OpenAI says a group of agents using an unreleased next-generation model produced a solution to the Navier-Stokes Millennium Prize Problem, a question about whether smooth 3D fluid motion can break down that has stayed open for about 90 years.

Noam Brown says the result cost millions of dollars, but argues that Astra now scores higher on ARC-AGI for about $20, versus roughly $500,000 for o3 on ARC-AGI 1.

AIWhy it matters

The post quotes OpenAI's claim about an AI-produced Navier-Stokes solution and adds cost comparisons that show how quickly test-time compute costs are falling.

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Noam Brown
@polynoamial

Yes, this result cost millions of dollars.

But remember that when @OpenAI announced o3 it cost ~$500,000 to score 87.5% on ARC-AGI 1. Today, Astra scores higher for ~$20.

In 2025 it took us and GDM an enormous amount of compute to achieve IMO gold. For the 2026 IMO, anyone with a $20/month ChatGPT subscription could do it.

Massively scaling test-time compute gives us a glimpse of the future. I believe that a year from now everyone will have an AI at their fingertips capable of solving problems of this caliber.

OpenAI@OpenAI
We’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics. The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra. The problem concerns whether the description of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.
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Source: Noam Brown · x.comPublished · added here

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