World Model · podcast knowledge graph

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

2026-09-13 · 24 min · episode 1197 · 11 entities

Asserted relationships

  • → hosted by Andreessen Horowitz person
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    Feed author/publisher: Andreessen Horowitz
  • → discusses Science concept
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  • → discusses Entrepreneurship concept
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  • → hosted by a16z company
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    Feed author/publisher: a16z

Entities found in this episode

concepts 8

  • mentioned Science concept
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    Feed category: Science
  • mentioned Technology concept
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  • mentioned Business concept
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  • mentioned Entrepreneurship concept
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    Feed category: Entrepreneurship
  • discusses Science concept
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    evidence rules-v4
    Feed category: Science
  • discusses Technology concept
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    evidence rules-v4
    Feed category: Technology
  • discusses Business concept
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    evidence rules-v4
    Feed category: Business
  • discusses Entrepreneurship concept
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    evidence rules-v4
    Feed category: Entrepreneurship

persons 2

  • mentioned Andreessen Horowitz person
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    Feed author/publisher: Andreessen Horowitz
  • hosted by Andreessen Horowitz person
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    evidence rules-v4
    Feed author/publisher: Andreessen Horowitz

companys 1

  • hosted by a16z company
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    Feed author/publisher: a16z
Episode description as stored
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. Resources: Follow Justin Johnson on X: https://x.com/jcjohnss Follow Theo Jaffee on X: https://x.com/theojaffee Follow Sofia on X: https://x.com/schisofrenia Follow MTS on X: https://x.com/mtslive Stay Updated: Find a16z on YouTube: YouTube Find a16z on X Find a16z on LinkedIn Listen to the a16z Show on Spotify Listen to the a16z Show on Apple Podcasts Follow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.