
World models: AI's next frontier to simulate reality, with big open questions
A deep dive into world models—AI systems aimed at simulating physical environments—covering how they differ from LLMs, the shift from video-focused Generation to 3D/real-time interaction, key players like Runway, World Labs, and AMI, the role of latent representations, the ‘bitter lesson’ of scaling computation, training data hurdles for robotics, and debates on interfaces and fragmentation. While promising for robotics, simulation, and asset creation, their general reliability and optimal interfaces remain unsettled and require real-world validation.












