World Models

Opening — Why this matters now Language agents are no longer satisfied with short conversations and disposable prompts. They want places—environments where actions have consequences, memory persists, and the world does not politely forget everything after the next API call. Unfortunately, today’s tooling offers an awkward choice: either rigid web applications backed by databases, or fully generative world models that hallucinate their own physics and promptly lose the plot. ...

The dominant paradigm in LLM agents today is autoregressive reasoning: think step by step, commit token by token. This approach works decently for small tasks — write a tweet, answer a math question — but it quickly falters when the goal requires deep planning, multiple decision branches, or adapting to partially observable environments. Imagine trying to plan a vacation or operate a flight search website while thinking only one move ahead. ...