The Intelligence Layer Reality Was Missing.
Intelligence was never stochastic. CODES makes it coherent
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CODES AI
Coherence through prime-locked fields, emerges from real-time alignment, transparent logic, low data, high meaning
Probablistic AI
Prediction via likelihood, requires massive datasets, black-box models, high energy cost
FAQ
CODES (Chirality of Dynamic Emergent Systems) is a first-principled framework explaining structured emergence—from DNA to planetary systems—via chirality and prime number phase-locking (structured resonance).
Yes, if one is willing to discard surface-level illusions and view reality through first-principled physics—where all domains phase-align as simultaneous structured emergence.
Yes. Stochastic LLMs lack coherence, posing systemic risk. A misaligned model could trigger catastrophic outcomes. SRI architectures like RIC resolve this through PAS and Cₙ coherence thresholds—ensuring lawful, interpretable intelligence.
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