Debate: new model abilities emerged via generalization, not a shared RL env
teortaxesTex · x · 2026-11-15
A widely circulated exchange: after a Japanese user marveled at a model's video output resembling Fable, LinusMixson argued that this ability emerged all at once across every model family because of generalization — not because someone sold a "code painting" RL environment to all the labs.
It's a pointed take in the ongoing debate about emergent capability mechanisms, pushing back against the theory that labs bought the same RL training environment from a common vendor.
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