Atlas, a new-generation world model, advances spatial intelligence by unifying pixel generation and 3D reconstruction through a novel "new view prediction" primitive. Unlike traditional models that require dense, labor-intensive data captures, Atlas generates spatially grounded, 3D-consistent views from as few as three images. This capability enables precise camera-conditioned simulation, offering transformative potential for robotics, architecture, and creative design by allowing users to interact with and edit persistent 3D environments. By treating new view prediction as an AI-complete task—comparable to next-token prediction in large language models—the model leverages scaling laws to improve spatial reasoning and physical understanding. As World Labs continues to scale, this architecture bridges the gap between static image generation and dynamic, actionable simulation, providing a foundational tool for machines to navigate and manipulate the physical world.
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