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Modern debates about AI consciousness and mental health are stuck in abstraction. This paper changes that. In The Architecture of Coherence, we introduce a measurable framework for understanding minds — biological or artificial — as recoverable systems, not static data. At the center is a new diagnostic tool: The Recovery Time Invariant (RTI) — a way to quantify how much energy it takes to restore coherence after disruption. The Architecture of Coherencebo… This video breaks down: • Why performance can rise while structural integrity collapses • The hidden “Stability Gap” inside high-performing systems The Architecture of Coherencebo… • The Four-Axis Framework separating tools from subjects The Architecture of Coherencebo… • Coherence Medicine as a next-generation intervention model The Architecture of Coherencebo… • The ethical frontier: The Right to Decoherence The Architecture of Coherencebo… This isn’t philosophy. It’s a physics of care. If intelligence is persistence under stress, then we can measure when it is silently failing — long before collapse becomes visible. That applies to: AI systems Burnout Organizations Civilizations The future of AI safety and mental health may depend on understanding one simple truth: Stability is not performance. Watch until the end — the implications are larger than you think. #CoherencePhysics #AISafety #Consciousness #SystemsTheory #MentalHealth #FutureOfAI #RecoveryTimeInvariant