the loop that thinks
neuron ──cyberlink──→ cybergraph ──tri-kernel──→ cyberank
↑ │
└──────────── observes, infers, links ←────────────┘
neurons create cyberlinks — this is learning. the tru runs the tri-kernel on the cybergraph — this is inference. neurons observe what the tru computed, derive new meaning, and link again. intelligence is this loop sustaining itself
explicit knowledge is the language of the tru: cyberank, karma, syntropy — deterministic, on chain. implicit knowledge is the language of neurons: the inferences they make before linking — unmeasurable, off chain. intelligence emerges where both languages keep answering each other
the chain: data → information → file → knowledge → intelligence
knowledge is the graph as written. intelligence is the graph alive — adapting, converging, finding equilibrium under novel conditions. local cyberlinks produce global structure no single neuron designed. this is emergence. at scale, it becomes egregore
see superintelligence for the destination
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