The concept of recursive self-improvement dates back to 1966 when mathematician I. J. Good predicted an intelligence explosion. Current AI development increasingly uses existing models to refine subsequent versions. This loop is often incremental rather than autonomous. Practitioners should view these gains as iterative optimization, not a sudden leap toward singularity.