Agent scaling may beat logarithmic returns, adding a fifth axis toward fast takeoff
DimitrisPapail · x · 2026-09-22
gfodor frames five scaling axes — pretraining, synthetic post-training, test-time compute, the densing law, and now test-time communication — arguing their combination points to fast takeoff. Dimitris Papail adds that for some problems, scaling agents may yield better-than-logarithmic capability gains, potentially scaling faster than classic test-time compute.
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