RCP Framework. Major future implications

RCP proposes that what we call "consciousness" is better understood as four measurable functional components: Modeling, Novelty Generation, Causal Reach, and Informational Feedback. The framework is substrate-independent — it applies equally to biological organisms, artificial intelligence systems, and multi-scale physical networks. Version 7 integrates verified findings from Assembly Theory (Nature 2023), bioelectric collective intelligence (Levin 2023), phi-scaled neural oscillation architecture (Frontiers in Human Neuroscience 2026, n=320), Schumann resonance entrainment (Applied Sciences 2025), causal emergence (Hoel et al. PNAS 2013), dissipative structures (Prigogine Nobel 1977), the Landauer principle (experimentally verified 2012/2014), top-down causation (Ellis 2012), and AI interpretability (Lindsey/Anthropic 2025). Seven falsifiable predictions are included, with experimental protocols for the SAE Cross-Architecture Probe, Schumann-EEG correlation study, and synthetic filament topology test. Fields spanned: physics, biology, neuroscience, cognitive science, AI interpretability, complex systems, thermodynamics, epigenetics, acoustics, and philosophy of mind.