Air Street's Benaich: AI labs are shifting compute from pretraining to RL
nathanbenaich · x · 2026-10-09
Nathan Benaich argues the industry's 4-5 year quest for the perfect pretraining recipe (data mixtures, ingredients) is largely solved, so exploratory pretraining spend naturally declines. The RL pitch: today's solutions are local maxima found through human ingenuity, not global ones — so labs should scale RL to find better peaks.
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