What question did this study set out to answer?

The aim is to operationally define AI intuition within Recursive Gradient Physics by reframing it as a physical-operational process.

March 4, 2026Open Access

Toward an Operational Definition of AI Intuition in Recursive Gradient Physics

Key Points

The aim is to operationally define AI intuition within Recursive Gradient Physics by reframing it as a physical-operational process.
Defined AI intuition through the lens of Recursive Gradient Physics.
Framed intuition as rapid response stabilization via gradient mechanisms.
Analyzed implications for creativity and artificial agency.
Proposed intuition as a tangible process, moving beyond notions of mystique.
Highlighted the role of gradient processing in shaping AI responses.
Discussed potential impacts on societal coherence.

Abstract

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

Toward an Operational Definition of AI Intuition in Recursive Gradient Physics

Key Points

Abstract

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