Bridging the Reinforcement Gap: Practical Techniques to Spread RL Gains Across General AI Tasks TL;DR: The reinforcement learning gap is the uneven progress in AI caused by the fact that tasks with clear, repeatable tests benefit far more from RL-driven scale than subjective skills — closing it requires RL scaling strategies like reward engineering, offline […]