[AINews] OpenAI reports Navier-Stokes singularity find in 88 hours using Astra-next, roughly 10,000 agents and 130B tokens (>$40M), a contender for second ever Millennium Prize awarded
OpenAI-linked accounts claim roughly 10,000 AI agents produced a Navier-Stokes singularity result in 88 hours, pending mathematical verification.
OpenAI-affiliated accounts claim a system of roughly 10,000 agents, trained over about a year with multi-agent reinforcement learning, produced a finite-time singularity result related to the Navier-Stokes Millennium Problem. The claimed 88-hour runtime and 130B-token cost circulate only via social posts, and no preprint, theorem statement, or proof artifact is available. Acceptance by the mathematics community is unresolved, so the claim's epistemic status remains unknown. The roundup also notes Cognition's $48B and Mistral's $24B fundraises, GPT Image 2.5, and Meta's Muse agent relaunch.
- ~10,000 agents trained via multi-agent RL over roughly a year
- 88-hour runtime appears only in a satirical post, not confirmed
- No theorem statement, preprint, or independent verification has appeared
- Method emphasizes unstructured parallel test-time compute with agent self-organization
- Roundup also cites Cognition's $48B and Mistral's $24B rounds
- Vendors
- OpenAI
- Organizations
- OpenAICognitionMistral AIMetaLatent Space
From the original article
13 min read at latent.space
Overshadowing Cognition's $48B Series E, Mistral's $24B Series D, Meta's Muse agent, and GPT Image 2. 5. The most jam packed, feel the AGI day in the history of AI.
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