World Simulator

World simulators are computational environments designed to model and predict the behavior of complex systems, facilitating research in areas like AI, robotics, and autonomous driving. Current research focuses on developing more general-purpose simulators capable of handling diverse tasks and modalities, employing architectures such as diffusion models, large language models, and hybrid approaches that combine both. These advancements are crucial for creating more robust and efficient AI agents, improving the training and evaluation of perception and decision-making systems, and generating realistic synthetic data for various applications.