Cognitive ARC-AGI-3 solver: 6 human-like drives, 10 reasoning modes (incl. simulation physique), 20 domaines physiques, micro-NN experts (580 params), multi-agent architecture.
Zero-hidden neural networks that solve non-linear problems through temporal depth, not spatial layers. 90.14% MNIST with 480 parameters. Intelligence is not depth — it's resonance. Time is the ultimate hidden layer. OdyssNet proves it.
SILT is a hardware-aware skill-transfer and trust layer for AI. It is designed to let one AI acquire a specialist capability from another AI, prove that the capability works on unseen tests, and adapt the resulting system for constrained hardware without silently sacrificing the skills that matter.
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