The 1X World Model is a machine learning program that simulates how the world reacts to robotic actions. Leveraging advancements in video generation and autonomous vehicle world modeling technology, it provides a virtual simulator for robots, enabling them to predict future scenarios and evaluate strategies. This model adeptly handles complex object interactions such as rigid bodies, the effects of falling objects, partial observability, deformable objects, and articulated bodies, and conducts evaluations in changing environments critical for robotics development.