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RL Performance Follows Sigmoid Scaling Law

What I found to be useful?? RL performance follows a sigmoid scaling law, not a power law. At small compute, progress is slow. Then it explodes mid-way before flattening at a predictable ceiling. That “S-curve” lets you forecast results before spending 10x more GPU hours.

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