Series · 3 parts
World Models: The AI That Rehearses What Happens Next
A four-part guide to the models that represent state, action, and possible consequences, and how they will combine with language systems.
In this series
All writing- The AI Most People Haven't Met YetChatbots continue and coordinate symbolic information. A different class of model represents how a bounded environment may change, often conditioned on action. Both are useful. Treating them as the same thing is why enterprise AI conversations keep talking past each other.
- When a Model Can Rehearse the FutureRehearsal is where world models earn their keep — exploring possible futures inside a bounded scene before acting. But visual plausibility, controllability, physical executability, and downstream task utility are separate properties, and current systems succeed at some and struggle at others.
- A Different Model Often Requires a Different SubstrateChatbots ride on documents. Making a world model useful in a specific enterprise setting tends to require a different substrate — a linked operational record of observations, conditions, actions, and outcomes, with rights and provenance to match. Document RAG is insufficient for that, not irrelevant.