OpenAI's internal model reportedly solves Navier–Stokes in 88 hours
Original titleIt can be hard to “feel the AGI” until you see an AI surpass you in a domain you care deeply about. This week, many mathematicians and ph...
Noam Brown reposted an OpenAI statement that an internal model group reached a Navier–Stokes solution in 88 hours using about 10,000 coordinating AI agents.
OpenAI said the model shows a step-function improvement on many benchmarks and that its training is ongoing, with monitoring and isolation safeguards applied throughout.
The attached chart compares GPT-6 Astra and the internal model on a curated set of open math problems across test-time compute levels, with the internal model scoring higher at each point.
The quoted OpenAI post gives concrete figures on an internal model's Navier–Stokes result and on a benchmark comparison, showing how the model performs on open problems.
Source: Noam Brown · x.comPublished · added here