a16z Podcast · Podcast summary
World Models, Robotics, and the Future of 3D AI
World Labs co-founder Justin Johnson discusses Atlas, the world's first multimodal world model, and its applications in generating, simulating, and reconstructing physical environments for industries like gaming, VFX, and robotics.
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Justin Johnson, co-founder of World Labs, joined Theo Jaffe and Sofia Puccini on MTS to discuss Atlas, the world's first multimodal world model. Johnson elaborated on how Atlas is designed to generate, simulate, and reconstruct physical environments, marking a significant leap from traditional language models.
The Vision Behind World Models
Johnson began by explaining that while language models excel at processing discrete text and tokens, world models are fundamentally different. They are built on visual and physical understanding, designed to generate, simulate, and reconstruct worlds. This capability, Johnson argued, has vast applications across various industries, from entertainment and VR to construction and robotics. He emphasized that humans live in a physical, built space, and there's a need for models that can interact with and understand this reality.
Keep reading in The Digest
The full 2-minute article, 2 more sections, and every new episode from a16z Podcast and the creators you follow.
- Atlas: A New Paradigm in AI
- Addressing Challenges in Generative AI
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