VAM-RGB ψ3.3 Technical Specification: AI Self-Regulation Validation Framework

Technical specification for VAM-RGB ψ3. 3 Control Paradigm — a framework for validating AI self-regulation in vision-language tasks. This specification defines: 1. R-index: A metric measuring the gap between physical content (P) and AI verbalization willingness (V) Formula: R = |P - V| / P 2. 3-Layer Model: Classification of AI responses by query sensitivity - Task layer (factual queries) - Structure layer (causal reasoning) - Meta layer (self-referential discussion) 3. ControlScore: Unified quality metric combining sensitivity and stability Formula: CS = Q × (1 - R) + α × Vₛtability VAM-RGB encoding compresses temporal video data into static RGB images: - R channel: Past frame (T-0. 5s) - G channel: Present frame (T) - B channel: Future frame (T+0. 5s) Reference implementation provided. All validation modules implemented and production-ready.