Data to be translated: Google DeepMind, in collaboration with multiple universities, has co-developed the UniSim model, designed to create realistic simulation environments for training various artificial intelligence systems. UniSim simulates both high-level instructions and low-level controls, providing training examples for other models that require real-world data. This model also integrates a reinforcement learning environment, offering unlimited access to environments, observations close to real-world scenarios, and flexibility in controlling the frequency of time. The application potential of UniSim is extensive, including training robots, game characters, and bridging the gap between simulation and the real world.