OpenAI says an internal model "significantly more capable than GPT-6 Astra" solved the Navier-Stokes problem using 10K concurrent agents working for 88 hours
THE SO WHAT
If an internal OpenAI model coordinating 10,000 agents over 88 hours can tackle a Millennium Prize problem, the ceiling on AI-for-science workloads just moved. For R&D-heavy orgs, the question this week isn’t “is it fully verified?”—it’s “which of our hardest simulation or PDE problems should we queue up for this class of system once it’s accessible?”
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