OpenAI Researchers See New Scaling Law in Parallel Agents

OpenAI researcher Noam Brown said early experiments in GPT-5.6 and Astra blogs suggest scaling parallel agent populations improves performance—a potential new scaling law—though large-scale AI research remains expensive and less efficient than serial CoT.

2026-09-09 ~ 2026-09-09 · 2 related posts

• OpenAI Researcher: Large-Scale AI Science Is Costly and Less Efficient Than Serial CoT Scaling — polynoamial · 2026-09-09
• Noam Brown: lab results show scaling agent swarm size improves performance — possibly a new scaling law — Afinetheorem · 2026-09-09