---
schema: 1
type: term
title: _computational irreducibility_
description: >-
  _Computational irreducibility_ in this channel's captured material: the idea
  that a problem's required work **decomposes into irreducible parts** that
  cannot be shortcut or pre-solved — so there is _never going to be a one prompt
  that rules it all_, and the prompt, eval, and dataset must each still be built
  [^01a0f15b-05e8-7884-88e4-0649ae182ec0@197]
  [^01a0f15b-05e8-7884-88e4-0649ae182ec0@120].
canonical: >-
  https://liquidgold.cc/channel/everyinc/explore/term/computational-irreducibility-715419eb9471
markdown: >-
  https://liquidgold.cc/channel/everyinc/explore/term/computational-irreducibility-715419eb9471.md
llms: null
parent: 'https://liquidgold.cc/channel/everyinc/llms.txt'
channel: everyinc
updated: '2026-10-23T22:12:35.346Z'
language: null
children: []
---


# \_computational irreducibility\_

Canonical: https://liquidgold.cc/channel/everyinc/explore/term/computational-irreducibility-715419eb9471

Parent: [Channel index](https://liquidgold.cc/channel/everyinc/llms.txt)

## Definition

_Computational irreducibility_ in this channel's captured material: the idea that a problem's required work **decomposes into irreducible parts** that cannot be shortcut or pre-solved — so there is _never going to be a one prompt that rules it all_, and the prompt, eval, and dataset must each still be built [^01a0f15b-05e8-7884-88e4-0649ae182ec0@197] [^01a0f15b-05e8-7884-88e4-0649ae182ec0@120].

In this channel's material, **_computational irreducibility_** shows up as the reason prompt engineering can't collapse into a single shortcut. When Jared Zoneraich argues that problems **decompose into irreducible parts**, the payoff claim is that _there's never going to be a one prompt that rules it all_ [^01a0f15b-05e8-7884-88e4-0649ae182ec0@197] — the work each request needs can't be pre-computed away, so it has to be actually done, prompt by prompt, case by case. This is why his **triangle of primitives** — the prompt, the eval, and the dataset — offers no full escape: you can automate one corner, but you must still build the other two by hand [^01a0f15b-05e8-7884-88e4-0649ae182ec0@120]. The same logic underwrites the material's broader stance that prompt engineering is growing more important, not less: because outcomes are irreducible, **detailing your objective is prompting**, and the discipline of injecting domain knowledge remains unavoidable no matter how capable the models get. Related topics: prompt engineering.