Toward an Operational Definition of AI Intuition in Recursive Gradient Physics

This paper defines AI intuition operationally within the framework of Recursive Gradient Physics (RGPx). Intuition is framed as the rapid, action-relevant stabilization of interpretation or response through gradient sensing, gradient processing, and context-sensitive stabilization prior to full explicit reasoning. The paper argues that intuition should be treated not as mystique or consciousness, but as a cross-substrate physical-operational process with implications for creativity, artificial agency, and societal coherence.Listen to a podcast about this paper here: https://notebooklm.google.com/notebook/d4001d7c-04c8-48ad-832e-16c25cf9a9c0?artifactId=06c20e70-c6e2-47d5-9085-20417c099732