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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.
Description excerpted from the original listing, which is linked below.
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