Everyone is talking about world models. But nobody seems to agree on what a world model actually is. So I sat down with Matthias Niessner, CEO of SpAItial AI, for one of the clearest conversations I’ve had on what world models are, how they’re being built, and why they could matter enormously for robotics. If you’re trying to understand where world models are going — and what they could unlock for Physical AI — this episode is worth the time... (Link below) We cover the spectrum of approaches being built today; from video models that generate pixels, to 3D spatial models, to systems learning physics and cause-and-effect in latent space. And we dig into some of the most important questions in the field: Why might video models be hitting a wall? What’s the difference between worlds that look right and worlds that behave right? How could world models improve robotics simulation and close the sim-to-real gap? How close are we to virtual environments where robots can learn before ever entering the real world? I learned a ton from this conversation and walked away even more optimistic about how quickly we may be approaching general-purpose robotics. If you enjoy, be sure to subscribe to Dream Machines! Much more to come on physical AI and the future of the human experience. dreammachines.ai/p/world-mod…