Mutual Validation: A Cognitive Interaction Model for Deep Human-AI Collaboration

This Tech Note defines and records "Mutual Validation," a core cognitive interaction model within the Deep Collaboration Methodology (DCM) series. Mutual Validation refers to a dynamic reciprocal mechanism in deep human-AI collaboration: researchers examine their own reasoning chains through the AI's inferential responses, while simultaneously testing whether the AI's logic exceeds its evidentiary basis through rigorous questioning. Derived from a cross-domain extension of the "Fruit of the Poisonous Tree" doctrine, this concept emphasizes the purity of the inferential source. Mutual Validation is characterized as the externalized manifestation of Recursive Thinking, utilizing AI as an external mirror to accelerate cognitive iteration and the pursuit of truth. The document further distinguishes this model from machine learning concepts like "cross-validation" and defines its application boundaries between general users and deep collaborators.