Reinforcement learning leverages compute to scalably amplify model capabilities. Though large-scale implementation is often prone to instability, our new stack delivers smooth, predictable gains, showing log-linear growth in pass@1 and pass@16 (at least 1 success across 16
Reinforcement Learning Stack Achieves Stable, Predictable Model Capability Gains
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