Reinforcement Learning 101

This article explains that reinforcement learning (RL) is the foundational training method driving modern AI, enabling models to transition from simple pattern matching to complex reasoning and conversational abilities. By learning through a reward-based interaction loop, RL allows agents to discover strategies through experience, though it introduces unique challenges such as "reward hacking" and difficulty in attributing specific behaviors to their causes.