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
“The agent given only a handful of exploration steps does the same thing — extracts a sliver of facts and treats them as a complete world model.”Episode 052 — An Old Reinforcement Learning Tradeoff Sneaks Back Into LLM Agents