Glossary · Term

world model

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Definition

Plain language

An AI's internal sense of how its environment works — what its actions do and how the world responds.

As stated in the literature

A model's learned representation of environment dynamics enabling prediction of next states; in ECHO, training a terminal agent to predict environment tokens is argued to instill a transferable world model, evidenced by cross-model prediction gains.

Also called: world models

Why it matters: An internal sense of how the world responds lets an AI plan ahead and adapt rather than blindly reacting step by step.

For example, an agent navigating a kitchen has one if it can predict that opening the fridge will reveal what's inside before it even acts.

Heard on the show

“Before the fix, though, I want to nail down what they mean by a world model here, because it's not what the term usually means.”
Episode 183 — Why You Can't Fine-Tune Foresight Into an AI Agent

Mentioned in 8 episodes

  1. 183
    Why You Can't Fine-Tune Foresight Into an AI Agent
  2. 182
    How a Tiny Model Too Weak to Plan Cuts a Bigger Agent's Hallucinations by 80%
  3. 167
    How Teaching an AI to Predict, Not Act, Made It a Better Actor
  4. 163
    Why Training Only on Perfect Solutions Cripples a Model's Reasoning
  5. 115
    Teaching a Phone Agent to Reason Silently, And Keeping It Honest
  6. 113
    What If a Prompt Injection Never Left? Attacks That Wait in Agent Memory
  7. 084
    Terminal Agents Get Free Supervision From The Tokens We've Been Throwing Away
  8. 052
    An Old Reinforcement Learning Tradeoff Sneaks Back Into LLM Agents

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