Socially learning agents copy useful skills but fail to beat solo learners at equal cost

Recursive Social Improvement tests populations of self-improving LLM agents that can copy and revise peers’ skill files under one token budget. Social information changes search behavior, but the tested populations do not outperform independent learners at matched cost.