In Episode 2 of The World Model Podcast, we dive deep into one of the most fascinating breakthroughs in modern AI: world models—specifically DeepMind’s Dreamer series—and how machines are now “practicing in their sleep.”

We break down how Dreamer AIs learn superhuman skills using a fraction of the data once required, thanks to three core components: a compact representation model, an internal imagination engine, and a reward predictor. Together, these let the AI close its eyes and simulate thousands of possible futures, learning entirely inside its own mind.

You’ll hear how this approach mirrors human imagination, why “useful hallucinations” can be more powerful than perfect predictions, and how researchers are now applying these methods to robotics—where robots can practice walking, grasping, and problem-solving in internal  ...