Toby Ord flags weak inference scaling: math gains still logarithmic at 10,000 agents
tobyordoxford · x · 2026-09-14
Toby Ord examines the inference-scaling chart OpenAI showed in its Navier–Stokes post: gains remain logarithmic, and with 10,000 concurrent agents the curve likely tracks agent count rather than inference depth. By the measure of 'fraction of maths problems solved from a big list', scaling still looks poor.
Related event: OpenAI Data Shows Reasoning Scaling Still Logarithmic(2 posts)→
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