World Labs 联合创始人谈 Atlas 世界模型、机器人技术与 3D AI 未来

World Labs co-founder Justin Johnson joins MTS hosts Theo Jaffee and Sofia Puccini to discuss Atlas, World Labs’ latest world model, and the broader case for AI systems that understand and interact with the physical world.

Justin explains how Atlas approaches three core tasks: generating new worlds, reconstructing real environments from images, and simulating how objects or robots might behave within them. Underlying it is a bigger thesis: just as language models became general-purpose engines for working with text, world models could become a horizontal layer for visual and physical intelligence across industries from entertainment and gaming to construction and robotics.

They also explore how world models could change video games and creative tools, why precise spatial control matters, and the potential for “real-to-sim-to-real” robotics, where a few photos of a physical environment could eventually be enough to build a simulation and adapt a robot to that specific space.

Justin Johnson

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is the cofounder of World Labs.

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Fei Fei Li: The Race to Build World Models For AI Fei-Fei Li, Justin Johnson, Ben Mildenhall, and Martin Casado; What Comes After ChatGPT? The Mother of ImageNet Predicts The Future Fei-Fei Li, Justin Johnson, Alessio Fanelli, and Shawn Wang (Swyx); The Frontier of Spatial Intelligence with Fei-Fei Li Fei-Fei Li, Justin Johnson, and Martin Casado; The Frontier of Spatial Intelligence with Fei-Fei Li Fei-Fei Li, Justin Johnson, and Martin Casado

Theo Jaffee

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is a Research Partner on the New Media team focused on the a16z Podcast and other media ventures.

The a16z Show discusses the most important ideas within technology with the people building it. Each episode aims to put listeners ahead of the curve, covering topics like AI, energy, genomics, space, and more.

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