Object Invocation Protocol · protocol specification
The Catalogue: AI as an Instance
AI as an Instance
- AI as an instance (you were right)
Machine learning runs on these same invariants — which is itself a datapoint for A₇:
- SGD / backpropagation → least action (§3.2) + selection (§3.12): descent on a loss surface.
- Attention → flow-routing / networks (§3.16): tokens attending across a graph.
- Neural scaling laws → power laws / criticality (§3.5).
- Transformers / predictive coding → compression & prediction (§3.10, §3.11).
- RLHF, evolutionary search → variation-selection-retention (§3.12).
- Grokking, capability jumps → phase transition / symmetry-breaking (§3.4).
- In-context learning, emergent abilities → more-is-different (§3.13).
- A model reviewing and rewriting its own articles (your clarity loop) → autopoiesis + strange loop (§3.8, §3.9).
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Corpus map
- Catalogue hub: Convergence Catalogue — Public Article
- Nodes: C01 · C02 · C03 · C04 · C05 · C06 · … (25 nodes)
- Edge series: Convergence 1 · Disconfirming 1
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