---
slug: oip-catalogue-ai-instance
title: The Catalogue: AI as an Instance
canonical: https://miscsubjects.com/a/oip-catalogue-ai-instance
---

# AI as an Instance

6. 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](/a/oip-convergence-public-article)
- Nodes: [C01](/a/oip-node-c01-gradient-dissipation-far-from-equilibrium-order) · [C02](/a/oip-node-c02-least-action-variational-principles) · [C03](/a/oip-node-c03-symmetry-conservation) · [C04](/a/oip-node-c04-symmetry-breaking-bifurcation) · [C05](/a/oip-node-c05-criticality-edge-of-chaos-power-laws) · [C06](/a/oip-node-c06-information-entropy-compression) · … (25 nodes)
- Edge series: [Convergence 1](/a/oip-convergence-edge-1) · [Disconfirming 1](/a/oip-disconfirming-edge-1)
