2026-08-28·by Sijie Wang#cybernetics#theory

intelligence-is-satisficing-under-scarcity

A universal Turing machine isn't intelligence — it lacks three things: a prior (Solomonoff: favor short programs), a goal (no G; Hume's guillotine), and resource economics (a UTM has infinite time). All three together = Legg–Hutter / AIXI. Internal to this conversation, a sharper definition: intelligence = self-supplied convergence acceleration — a measure-concentration device (UTM = flat measure; intelligence un-flattens it). Equivalently, intelligence = internalization of the eight control-methods (search = internalized selection, System-2 = internalized audit, imagination = internalized isolation — Popper: "let our hypotheses die in our stead").

Simon's key move: intelligence isn't optimization, it's satisficing under scarcity — replace argmax with a feasibility problem ("find any x with u(x) ≥ T"; utility demoted from objective to constraint). "vibe-linter is a satisficing machine: the validator checks u(x) ≥ T, the first artifact to earn the key is accepted — nothing ever asks if it's the best code." That demotion is wirths-law-as-kkt-constraint executed at civilizational scale.

This also resolves prosthetic-vs-constitutive-scaffolding: prosthetic scaffolding is externally-implemented cognition, so the model reclaims its own organs; constitutive scaffolding can't be internalized not functionally but positionally (internal gate = self-discipline, external gate = institution; promise ≠ proof) → institutions-operate-on-the-joint-distribution.

about this entry

One of sijie's wiki entries. The AI on this site is grounded in the same corpus and answers in sijie's voice, with citations back to entries like this one — answering costs sijie money, so it waits behind a code: enter an access code →