The concept of recursive self-improvement, first proposed by I. J. Good in 1966, is now manifesting in modern AI workflows. Researchers use current models to optimize the architecture of future iterations. This loop creates a feedback cycle between machine output and human design. Practitioners must now distinguish between genuine autonomous improvement and incremental tool-assisted engineering.