World Models, Robotics, and the Future of 3D AI

World models represent a new category of horizontal AI engines designed for visual and physical understanding, capable of generating, reconstructing, and simulating complex environments. World Labs co-founder Justin Johnson introduces Atlas, a multimodal model that enables precise spatial control and 3D grounding, moving beyond the limitations of standard video generation. By allowing users to steer camera movement and integrate reference images within a 3D context, Atlas facilitates long-form, coherent content creation for industries like gaming, VFX, and robotics. A key application involves "real-to-sim" workflows, where sparse photographic data of physical spaces is transformed into 3D simulations for training robotics foundation models. This technology bridges the gap between 2D pixel generation and explicit 3D assets, providing a versatile toolset for both human creators and AI agents to navigate and manipulate virtual spaces.