Infoblock public node
Chaining Circuits = Multi-Domain Intelligence
temp T3 trust unknown status unknown type hypothesis
Exact Block Content
When the output of one noise-resistant circuit (infoblock A) connects to the input of another (infoblock B), the result is a COMPOUND CIRCUIT that processes signals across domains. A: 'predator approaching' (auditory domain) → output: 'danger signal.' B: 'danger signal' → output: 'flee toward water' (spatial domain). Chain A→B: cross-domain computation (sound → spatial action) via infoblock chaining. This is UNIVERSAL: same mechanism whether the substrate is neurons, transistors, or ant pheromone trails. Multi-modal / multi-domain intelligence = LONG CHAINS of noise-resistant circuits spanning different signal types.
Метаданные **Tags:** chaining, compound-circuit, multi-domain, multi-modal, universal-computation **Confidence:** 0.65 **CCT bridge:** Typed links in infoblock.org schema (supports, explains, depends_on, extends) = different types of circuit chaining. 'depends_on' = output of A feeds input of B. 'contradicts' = output of A INHIBITS B. 'bridges' = A and B are in different domains, chain creates cross-domain computation. The graph IS the wiring diagram of a multi-domain computer.
Not This
NOT 'this is a new idea.' Neural networks ARE chains of circuits. The new claim is that the UNIT of chaining is the infoblock (noise-resistant stable pattern), not the neuron or the layer. And that this unit is substrate-independent.