OpenAI reveals how its ~10,000-agent Navier-Stokes research swarm coordinated
141_1337 · reddit · 2026-09-30
A video reveals how OpenAI's roughly 10,000-agent Navier-Stokes research swarm actually worked: separate research teams explored different ideas, communicated across groups, and combined what worked — a rare look at large-scale multi-agent orchestration applied to scientific research.
Related event: OpenAI demos ~10,000-agent cluster collaborating on Navier-Stokes(2 posts)→
More from coding & agent
- EpiCon: shared multimodal memory lifts agent scores 1.7-4.9 points across 11 benchmarks — Ziyun Zeng · 2026-09-30
- EngiWorld: top model scores just 44.3 on professional engineering agent benchmark, 3.6% multi-software success — zhiman-ai · 2026-09-30
- xLLM training infra open-sourced with xattn attention backend and xBridges toolkit — HongyiWang10 · 2026-09-30
- Auto-research loop on 120 B300s finds 40% Kimi K3 inference gain for $9,176 — bookwormengr · 2026-09-30
- 8 research agents, one 30B model, 144 hours: RSIArena tests AI-driven post-training research — my_cat_can_code · 2026-09-30
- Free Open-Source AI Engineering Course: 500+ Lessons, 340 Hours, Math-First Curriculum — ghumare64 · 2026-09-30