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"Visual-spatial intelligence is as fundamental as language." Fei-Fei Li says world models are the key to letting AI see the world, reason about it, interact with it, navigate it, and even 'build civilization upon it.' "It's very natural for me that World Labs' north star is to unlock spatial... show more

a16z

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31,675 просмотров • 4 месяцев назад •via X (Twitter)

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The moment is right to push forward into a new frontier for AI — one that is as fundamental as language, says Fei-Fei Li. That frontier is visual spatial intelligence. With Justin Johnson (Justin Johnson), her cofounder at World Labs, and a16z's martin_casado, Fei-Fei explains what unlocking this technology could mean, and why we’re in the midst of a “Cambrian explosion”:

The moment is right to push forward into a new frontier for AI — one that is as fundamental as language, says Fei-Fei Li. That frontier is visual spatial intelligence. With Justin Johnson (Justin Johnson), her cofounder at World Labs, and a16z's martin_casado, Fei-Fei explains what unlocking this technology could mean, and why we’re in the midst of a “Cambrian explosion”:

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📁 Fei-Fei Li founder of World Labs, says the next leap in AI is not language. Human intelligence does not just speak, it moves, perceives, and acts in the physical world. Spatial intelligence is the real core of intelligence. From text to space, from models to 3D and 4D worlds, from understanding words to interacting with reality. The next chapter is not read, it is inhabited.

📁 Fei-Fei Li founder of World Labs, says the next leap in AI is not language. Human intelligence does not just speak, it moves, perceives, and acts in the physical world. Spatial intelligence is the real core of intelligence. From text to space, from models to 3D and 4D worlds, from understanding words to interacting with reality. The next chapter is not read, it is inhabited.

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Language models process data as one-dimensional sequences of tokens — ideal for text, but limited for understanding the physical world. In contrast, spatial intelligence embraces a 3D representation, unlocking a deeper understanding of space and time. More from martin_casado's interview with Fei-Fei Li and Justin Johnson:

Language models process data as one-dimensional sequences of tokens — ideal for text, but limited for understanding the physical world. In contrast, spatial intelligence embraces a 3D representation, unlocking a deeper understanding of space and time. More from martin_casado's interview with Fei-Fei Li and Justin Johnson:

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World Labs CEO Dr. Fei-Fei Li explains says "world model" has become an overloaded term & explains what each kind of world model does: "Right now there are three ways of calling world models when it comes to spatial intelligence." "One is what I call a renderer, when the model puts beautiful pixels on the screen." "Another kind of world model is what we call a planner. That is more for machines, more for robots." "The third kind, which I think is the linchpin of the three, is a simulator." "A simulator could become a renderer. The simulator could become a planner. But this layer is a huge critical path to unlock spatial intelligence. And that's what World Labs is working on." Fei-Fei Li at Bloomberg Tech live with Emily Chang

World Labs CEO Dr. Fei-Fei Li explains says "world model" has become an overloaded term & explains what each kind of world model does: "Right now there are three ways of calling world models when it comes to spatial intelligence." "One is what I call a renderer, when the model puts beautiful pixels on the screen." "Another kind of world model is what we call a planner. That is more for machines, more for robots." "The third kind, which I think is the linchpin of the three, is a simulator." "A simulator could become a renderer. The simulator could become a planner. But this layer is a huge critical path to unlock spatial intelligence. And that's what World Labs is working on." Fei-Fei Li at Bloomberg Tech live with Emily Chang

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For all of history, humanity shared one 3D world. World Labs co-founder Fei-Fei Li says spatial intelligence now lets us generate and reconstruct infinite universes for creativity, travel, storytelling, even socialization. “It suddenly will enable us to live in a multiverse way.”

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On investing in World Modeling and Spatial Intelligence, "It will take time to invest, and it will also hopefully not take the hype..." World Labs' Fei-Fei Li. #BloombergTech Emily Chang ⏯️

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📁 Fei-Fei Li, computer vision pioneer and Stanford professor, says the next frontier of AI is spatial intelligence. The ability to perceive, reason and act in the physical world. Not just see and talk. But do. Just as vision triggered the Cambrian explosion of life, spatial intelligence could trigger the next explosion of AI.

📁 Fei-Fei Li, computer vision pioneer and Stanford professor, says the next frontier of AI is spatial intelligence. The ability to perceive, reason and act in the physical world. Not just see and talk. But do. Just as vision triggered the Cambrian explosion of life, spatial intelligence could trigger the next explosion of AI.

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.Fei-Fei Li, aka The Godmother of AI, discusses her latest startup, World Labs, and why "Spatial" intelligence is a new foundational technology

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Spatial intelligence enables the next interface. World Labs co-founders Fei-Fei Li and Justin Johnson say that blending digital and physical worlds simplifies UX and brings agents to the 3D world.

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📁 Fei-Fei Li, former Google Chief Scientist, says the industry is dangerously fixated on language models. Most of the real economy is physical, perceptual and spatial. Once AI fully understands the visual world, it stops being a chatbot and starts becoming infrastructure.

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Dr. Fei-Fei Li (Fei-Fei Li), the Godmother of AI, on the origin of computer vision and why spatial intelligence is the next frontier. At AI Startup School in San Francisco. 01:00 - Origins of ImageNet 02:15 - The Dream to Make Machines See 03:28 - A paradigm shift in AI 05:50 - AlexNet and Deep Learning 08:00 - Evolving Computer Vision 12:20 - Building World Labs 13:00 - The next frontier in AI 14:20 - Why Spatial Intelligence Is Harder Than Language 18:40 - Technical Barriers for Vision-Based AI 20:00 - AI is more than LLMs 25:50 - Fei Fei’s Journey 29:30 - Mentoring some of the legends of AI 33:00 - Audience Q&A

Dr. Fei-Fei Li (Fei-Fei Li), the Godmother of AI, on the origin of computer vision and why spatial intelligence is the next frontier. At AI Startup School in San Francisco. 01:00 - Origins of ImageNet 02:15 - The Dream to Make Machines See 03:28 - A paradigm shift in AI 05:50 - AlexNet and Deep Learning 08:00 - Evolving Computer Vision 12:20 - Building World Labs 13:00 - The next frontier in AI 14:20 - Why Spatial Intelligence Is Harder Than Language 18:40 - Technical Barriers for Vision-Based AI 20:00 - AI is more than LLMs 25:50 - Fei Fei’s Journey 29:30 - Mentoring some of the legends of AI 33:00 - Audience Q&A

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Dr. Fei-Fei Li just called out the biggest blind spot in the entire AI industry. We have been building half of human intelligence. And calling it the finish line. Li: “If you look at human intelligence, it pretty much boils down to two buckets.” The first bucket is language. Symbolic reasoning. Communication. The ability to think in words and abstractions. That’s what every major AI lab has spent the last decade building. The second bucket is the one the industry has almost entirely ignored. Li: “We call that in AI spatial intelligence.” How humans and animals perceive, navigate, and interact with the three-dimensional physical world. How we reach for objects. How we move through space. How we build and manipulate physical reality. From painting masterpieces to constructing the pyramids, non-verbal spatial intelligence is what actually shapes the world. Language describes reality. Spatial intelligence acts on it. And the gap between those two things is the gap between a chatbot and a robot. Li: “When this technology is ready, the robotic revolution is gonna start. We’re already seeing that trend.” Every robot is a moving agent. Every moving agent requires spatial intelligence to function in the real world. The humanoid robots being deployed in factories right now are hitting the ceiling of what language models alone can power. Spatial intelligence is the unlock. But Li didn’t stop at robotics. Li: “From a geopolitics point of view, this is part of the technology that goes straight into weapons.” Autonomous drone swarms. Battlefield navigation. Physical target acquisition without human oversight. Every military application of AI that operates in the real world runs on spatial intelligence. The nation that masters the transition from static text to dynamic three-dimensional perception doesn’t just win the software race. It commands the physical battlefield. The AI arms race just broke out of the data center. It’s operating in three dimensions now.

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Dustin

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Chatbots aren’t the revolution. They’re the distraction. Fei-Fei Li: “Language is a half-million-year-old luxury. Perception is a half-billion-year-old necessity.” Evolution didn’t optimize for conversation. It optimized for survival in three-dimensional space. Seeing threats, navigating obstacles, predicting what happens when you move. We’ve spent years celebrating AI that can write and summarize. But text processing is narrow. Spatial intelligence is fundamental. An agent that only reads prompts can’t function in a warehouse or a hospital. It needs to parse depth, understand physics, and act on what it sees in real time. We built AI that understands language. Now we’re building AI that understands space. Language models got the attention. Spatial intelligence gets the work done. The world runs on physics, not paragraphs. AI is learning to operate in it.

Chatbots aren’t the revolution. They’re the distraction. Fei-Fei Li: “Language is a half-million-year-old luxury. Perception is a half-billion-year-old necessity.” Evolution didn’t optimize for conversation. It optimized for survival in three-dimensional space. Seeing threats, navigating obstacles, predicting what happens when you move. We’ve spent years celebrating AI that can write and summarize. But text processing is narrow. Spatial intelligence is fundamental. An agent that only reads prompts can’t function in a warehouse or a hospital. It needs to parse depth, understand physics, and act on what it sees in real time. We built AI that understands language. Now we’re building AI that understands space. Language models got the attention. Spatial intelligence gets the work done. The world runs on physics, not paragraphs. AI is learning to operate in it.

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