How can LLM RL Work Despite Information-Theoretic Inefficiency

A discussion on why reinforcement learning (RL) methods applied to large language models (LLMs) can be effective despite theoretical inefficiencies in information processing. The article explores underlying reasons and mechanisms that enable RL to work in practice with LLMs.