RL IN REAL LIFE: DURABLE MOATS

Summary from the TLDR Founders newsletter

Reinforcement learning (RL) has gone from being a promising path towards general intelligence to a taboo phrase over the past year. It has proved highly effective inside AI labs, but outside of the labs, its use cases remain surprisingly underdeveloped. Most efforts appear to be largely experimental and have yet to scratch the surface of the sophisticated techniques used within the frontier labs. This post looks at the intricacies of building effective RL approaches, assesses current use cases, and discusses what founders should consider when commercializing RL-based systems.