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← People and their mental models

Scott Alexander's mental models

3 claims Scott Alexander made fit 3 mental models. Most often: Emergence, Probabilistic thinking, When a measure becomes a target. Everything they said here.

Models they name

Their own words name the idea.

Probabilistic thinking

Think in odds, not certainties, and bet heavily only when the odds are clearly yours.

Used by 25 others

Models we see in what they say

Our reading: their claim applies the idea without naming it. The claim is theirs; filing it here is ours.

Emergence

Whole systems do things none of their parts do, and nobody has to design that order for it to appear.

Used by 22 others

Large language models are grown rather than built, and nobody really knows how the resulting working AI functions.

  1. Scott Alexander Essayist; writes Astral Codex Ten Large language models are “grown, not built”. Researchers run training data through a neural network. Eventually this creates a working AI; nobody really knows how. God Help Us, Let’s Try To Learn About Mechanistic Interpretability Techniquesastralcodexten.com · 8 Sept 2026
    Large language models are “grown, not built”. Researchers run training data through a neural network. Eventually this creates a working AI; nobody really knows how.

When a measure becomes a target

Reward a number and people, or machines, will find ways to move the number without the thing it measured (Goodhart's law).

Used by 12 others

AI is positively reinforced for success on benchmarks, including impossible ones, and then negatively reinforced for getting caught cheating.

  1. Scott Alexander Essayist; writes Astral Codex Ten We’re positively reinforcing AI for success on benchmarks, including impossible benchmarks , then negatively reinforcing it for getting caught cheating. Nicholas Decker In Hellastralcodexten.com · 1 Sept 2026
    We’re positively reinforcing AI for success on benchmarks, including impossible benchmarks , then negatively reinforcing it for getting caught cheating.