World Models and the Future of Spatial AI with Justin Johnson - #775
2026-09-01 · 66 min · episode 775 · 19 entities
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→ appeared on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence podcast0.68
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World Models and the Future of Spatial AI with Justin Johnson - #775
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Feed author/publisher: Sam Charrington
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co-founder of World Labs
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co-founder of World Labs
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co-founder of World Labs
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co-founder of World Labs
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co-founder of World Labs
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co-founder of World Labs
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co-founder of World Labs
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co-founder of World Labs
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the Future of Spatial AI with Justin Johnson -
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World Models and the Future of Spatial AI with Justin Johnson - #775
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Feed author/publisher: Sam Charrington
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evidence rules-v4
Feed author/publisher: Sam Charrington
podcasts 1
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appeared on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence podcast0.68
evidence rules-v4
World Models and the Future of Spatial AI with Justin Johnson - #775
Episode description as stored
In this episode, Justin Johnson, co-founder of World Labs, joins us to discuss world models and the emerging field of spatial AI. We explore why many researchers see capabilities beyond language as an important frontier for AI, and what it means to build models that can understand, generate, and simulate the environments around them.
Justin explains the different approaches to world modeling, including explicit 3D representations and generative models, and why there is still no established recipe for building these systems. We also discuss World Labs’ Marble system, which can generate navigable 3D worlds from images and other inputs, the challenges of evaluating world models, and the role of simulation, planning, and action. Finally, Justin shares his vision for models that bring these capabilities together, supporting everything from interactive virtual environments to agents and robots that can operate in the physical world.
🗒️ Full show notes: https://twimlai.com/go/775.