Most AI safety debates focus on model correctness. LAGK shifts the conversation to how knowledge becomes usable. The 8-phase system answers: What capabilities does this knowledge transfer? How easily can it be assigned to use cases and scaled? What happens when it propagates across many actors? Should sharing differ by context? Disclosure modes: Open Guided Shielded Sealed This isn’t just policy — it’s operational. The framework was built because “allow vs. block” doesn’t capture disclosure nuance. Has anyone else seen governance that actually accounts for scalability of knowledge? LightRest-LAGK.manus.space submitted by /u/MikeDooset
Originally posted by u/MikeDooset on r/ArtificialInteligence
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