Noam Brown: lab results show scaling agent swarm size improves performance — possibly a new scaling law
Afinetheorem · x · 2026-09-09
- Noam Brown confirmed lab results on scaling agent network size exist in the GPT 5.6 and Astra blogs, though only for relatively small numbers of agents; larger-scale science is expensive but in progress.
- He notes swarm scaling is less efficient than serial CoT, but the gap depends on the technique.
- Kevin Vallier argues this is among the first lab evidence that scaling agent count scales performance — mirroring how humans scaled intelligence via cooperative networks, and potentially a new scaling law.
Related event: OpenAI Researchers See New Scaling Law in Parallel Agents(2 posts)→
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