Epistemics/Concept/Heuristic vs Axiom

• Heuristic vs Axiom

  • Overview

    • A heuristic is a useful shortcut: a rule of thumb that usually points the right way but carries no guarantee and can fail when conditions change. An axiom is a statement that can be proven with internal consistency, or an established law of nature—it holds by demonstration, not by convenience.
    • The distinction matters because the two are easily confused. A heuristic that held reliably in one era gets repeated until it is treated as a law, long after the conditions that made it true have passed.

  • Why it matters

    • Treating a heuristic as an axiom hides its assumptions. When those assumptions lapse, the "law" keeps getting cited with the same confidence, and the error compounds because no one re-examines a premise they believe is proven.
    • The garden tracks the two families separately: defeasible, named generalizations are Logseq/Entity/Named Law instances; genuinely provable or physical statements are Logseq/Entity/Axiom instances.

  • On clinging to past-era heuristics

    • Correct. And the venture capital community is notorious for this, where people, in times of uncertainty, cling to axioms that ended up being true from the previous era… and proclaim them with confidence as if they're truths, but they're not. It's very important to see the distinction between a heuristic and an axiom. An axiom can be proven… with internal consistency. A heuristic is… a shortcut.
      

    • — Person/Anjney Midha, Why AI Labs With Unlimited GPUs Still Fail — Anjney Midha, AMP @ 00:44:28

  • See also

    • Logseq/Entity/Named Law — eponymous laws, effects, and fallacies that are useful but defeasible.
    • Logseq/Entity/Axiom — provable or physical statements that genuinely hold.
    • Goodhart's Law, Moore's Law — named laws often mistaken for axioms.