How does reinforcement learning alter the trajectory of foundation model capabilities?

Reinforcement learning allows models to explore reasoning paths, verify intermediate hypotheses, and correct their own errors before producing an answer. Rather than merely predicting the next token based on human text statistics, RL teaches models to discover novel problem-solving strategies through autonomous trial and error.