OpenAI solves Navier-Stokes with 10K agents, but Codex data privacy debate steals the show

2026-09-08 群聊日报

OpenAI deployed ~10K concurrent agents to solve the Navier-Stokes Millennium Problem in 88 hours, consuming 130B output tokens. But NYU mathematician Buckmaster publicly alleged OpenAI may have accessed his and collaborator Alpöge's unpublished drafts via Codex—their technical approaches overlapped heavily. OpenAI hasn't directly denied accessing Codex data, only stating they 'cannot rule out that de-identified data helped improve models.' The group debated whether personal subscriptions offer true zero data retention: only Team/Enterprise plans do. On the practical side, third-party benchmarks show Astra's xHigh effort costs more than High but scores slightly lower—High is the daily sweet spot. DeepSeek V4.1 Flash internal test model hits 340–450 tok/s with impressive SVG morphing quality, expiring Sept 10. GPT Image 2.5 launched with doodle canvas and native transparency. Codex's new experimental context management replaces compression with note-taking, cutting window-switch time from 27s to 1.8s.

Why it matters: A claimed Millennium Prize solution is already industry-shaking; the Buckmaster plagiarism accusation and OpenAI's non-denial push it into must-cover territory. Source is a curated group-chat digest, but it cites the official OpenAI post and a named mathematician's public alle...