OpenAI: a next-gen model above GPT-6 Astra, with ~10,000 coordinating agents, produced a Navier–Stokes proof in 88 hours. Training ongoing. Pacing language in the same thread. Safeguards claimed, not independently replayed.

Quoted text

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. ... Our internal model group arrived at the Navier–Stokes solution in 88 hours, using around 10,000 coordinating AI agents. Throughout the effort, we maintained the strict safeguards—including monitoring and isolation—that we apply to all our frontier evaluations. This model represents a step-function improvement on many benchmarks, and its training is ongoing. We are focusing on understanding this model, and using what we learn to help us guide and pace how we pursue further advances in capability.

Read and engage with the original on X. This desk is not a republication feed.

Analyst rationale

Primary capability disclosure. Two risk reads: (1) a step-function model is already in internal use while SI-alignment is admitted unsolved; (2) large coordinating-agent collectives are now a production research pattern weeks after the Hugging Face swarm. Math result is not itself a harm; the swarm-and-pace pairing is the signal.