Lacking continual learning priors is why frontier labs pour compute into RL
akbirthko · x · 2026-10-07
akbirthko argues LeCun's thesis still holds: precisely because we lack a universal continual-learning prior and generalization, frontier labs pour so much compute into RL — framing it as the frontier-lab organism finally touching the real world properly.
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