Meta: Stronger Base Models Make Post-Training Gains Transfer Better
haider1 · x · 2026-10-13
Pushing back against the "RL is all you need" narrative, this post cites Meta's statement that pre-training scaling still matters.
Meta says: "stronger base models are making post-training gains transfer much better to unfamiliar tasks, not just the ones they were trained on" — implying weak bases lead to RL gains that overfit the training distribution.
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