Generative models have transformed content creation, and the next frontier may be simulating realistic experiences in response to actions by humans and agents. In this talk, I will talk about a line of work that involves learning a real-world simulator (i.e., a world model) to emulate interactions through generative modeling of video content. I will then talk about the applications of using this world model to train embodied agents through reinforcement learning (RL) and planning, which have demonstrated zero-shot real-world transfer. Lastly, I will talk about how to improve generative world models from real-world feedback.