Topic
Next State Prediction
3 episodes
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Overview: World Models
We finally stop hand-waving and explain world models from the ground up — what they are, how they actually work, and why the field keeps coming back to them as the missing piece between AI that reacts and AI that plans.
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Overview: Next State Prediction
We finally slow down and explain next-state prediction from the ground up — the deceptively simple idea that if you train a model to guess what comes next, it ends up learning how the world actually works, and why that one trick is underneath almost everything in modern AI.
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Qwen AgentWorld: Language World Models for General Agents
Justy and Cody dig into Qwen-AgentWorld, a new language world model that simulates seven agent environments. Cody breaks down the three-stage training pipeline (CPT, SFT, RL) and explains why a world model is the missing piece in agent development. Justy connects it to product reality: who ships this, what it actually unlocks, and whether it’s ready beyond the paper. They finish with cautious excitement and a quick Build Next check-in.