General World Model

General world models aim to create artificial systems capable of simulating and interacting with diverse environments, enabling advanced reasoning and decision-making. Current research focuses on developing multimodal models, often integrating large language models with video generation techniques (e.g., autoregressive transformers, diffusion models), to achieve greater realism and controllability in simulated worlds. These advancements are being evaluated using new benchmarks that assess a model's ability to understand and predict complex real-world dynamics across multiple disciplines. The resulting improvements in world modeling have significant implications for fields like autonomous driving, robotics, and interactive content creation.