Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops

Researchers have categorized the emerging field of recursive AI self-improvement, which spans from simple output refinement to autonomous research loops. As models increasingly manage their own training data and deployment harnesses, this framework provides a formal way to track how systems contribute to their own architectural and functional development.