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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

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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”:

a16z

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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:

a16z

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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.”

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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204,325 Aufrufe • vor 1 Jahr

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 ⏯️

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 ⏯️

Bloomberg Live

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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.

Jon Hernandez

24,408 Aufrufe • vor 7 Monaten

World Labs' Dr. Fei-Fei Li on why the 3D world and spatial intelligence are fundamentally different from language models: "Language is fundamentally a purely generated signal. There's no language out there. You don't go out in the nature and there's words written in the sky for you." "Whatever data you feed in, you pretty much can just somehow regurgitate with enough generalizability the same data out, and that's language to language." "But the 3D world is not. There is a 3D world out there that follows laws of physics, that has its own structures due to materials and many other things. And to fundamentally back that information out and be able to represent it and be able to generate it is just fundamentally quite a different problem." "We will be borrowing similar ideas or useful ideas from language and LLMs, but this is fundamentally philosophically, to me, a different problem." Fei-Fei Li

World Labs' Dr. Fei-Fei Li on why the 3D world and spatial intelligence are fundamentally different from language models: "Language is fundamentally a purely generated signal. There's no language out there. You don't go out in the nature and there's words written in the sky for you." "Whatever data you feed in, you pretty much can just somehow regurgitate with enough generalizability the same data out, and that's language to language." "But the 3D world is not. There is a 3D world out there that follows laws of physics, that has its own structures due to materials and many other things. And to fundamentally back that information out and be able to represent it and be able to generate it is just fundamentally quite a different problem." "We will be borrowing similar ideas or useful ideas from language and LLMs, but this is fundamentally philosophically, to me, a different problem." Fei-Fei Li

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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

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

Bloomberg TV

34,503 Aufrufe • vor 2 Jahren

BREAKING: $AMD AMD Acquires World Labs in $8.2 Billion Deal for AI Expertise. Stanford professor and World Labs founder Fei-Fei Li sits down with Jany Talk to break down what everyone gets wrong about AI - and why she still believes in people, not machines. Fei-Fei Li co-created ImageNet before most of the world understood why data would matter more than algorithms. She's spent a decade building computer vision and robotics from the ground up. Now, as the founder of World Labs, she's betting on spatial intelligence as the missing piece of AGI - and she's here to tell you why almost everyone is thinking about AI wrong. Fei-Fei Li: "AI Is a Tool, Not the World" - On Curiosity, AGI and Being Human. Full interview here:

BREAKING: $AMD AMD Acquires World Labs in $8.2 Billion Deal for AI Expertise. Stanford professor and World Labs founder Fei-Fei Li sits down with Jany Talk to break down what everyone gets wrong about AI - and why she still believes in people, not machines. Fei-Fei Li co-created ImageNet before most of the world understood why data would matter more than algorithms. She's spent a decade building computer vision and robotics from the ground up. Now, as the founder of World Labs, she's betting on spatial intelligence as the missing piece of AGI - and she's here to tell you why almost everyone is thinking about AI wrong. Fei-Fei Li: "AI Is a Tool, Not the World" - On Curiosity, AGI and Being Human. Full interview here:

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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.

📁 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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World Labs CEO Dr. Fei-Fei Li & SceniX Co-Founder Yunzhu Li on the data bottleneck in robotics and how world models help: "The lack of data in training, the lack of data in evaluation, this is very, very different from language models, where data is abundant on the internet." "And we know that in order for robotics to work, we have to somehow unlock the power of scaling law. But where does that come from?" "It's a profound problem that everybody's battling with in robotics." "We see a lot of unlock in being able to do this whole process through the modeling of the environments." "Being able to create these digital worlds... that's just going to unlock so much more potential for being able to replace all the costly and the unsafe data in the real environments with the data generated from the worlds for robots to be able to do scalable learning and evaluations." Fei-Fei Li Yunzhu Li martin_casado

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a16z

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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

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Y Combinator

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Martin Casado on why artificial intelligence is the wrong term and why a16z's new fund is called the Machine Age Fund: "Artificial intelligence was the wrong word. It's machine intelligence... because it's not how humans think. It is a cache of human thought." "To date, we don't know how to take an AI with no knowledge and put it out in the world and have it reconstruct language. That's not what we've done. We've built something that can learn off of everything we've already learned and then use that in a productive way." "AI is a general term that goes back 70 years in computer science formally that applies to many different things, and of course it's got a lot of baggage. Either from science fiction or from you know, Nick Bostrom who wrote about it." "You want to emphasize the machine part of it... You've really come to a place where you pour money into something and then you're limited by the actual machines below it. It's a nod to the hardware component is so significant in this wave, and we want to acknowledge that." martin_casado Erik Torenberg

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On a new episode of Only in America, Fei-Fei Li Li, the "Godmother of AI," speaks with world-renowned historian and Hoover Senior Fellow Stephen Kotkin about her journey to the frontiers of spatial intelligence. 3:38 - Fei-Fei Li's high school years in New Jersey 6:58 - Li's journey to studying physics at Princeton 11:09 - Li on finding an "audacious question" in science 16:19 - Kotkin and Li on curiosity and the immigrant experience 22:01 - Li on the moral responsibilities of scientists 28:12 - Li on co-founding World Labs 34:58 - World models as the next frontier of AI 37:08 - Kotkin and Li on civic responsibility and mentorship 42:06 - Fei-Fei Li on America and adapting to the AI revolution Fei-Fei Li, Founding Director of Stanford HAI, is one of the pioneering researchers in the field of spatial intelligence. A professor of computer science at Stanford University, she invented ImageNet, which is today widely regarded as one of the driving forces behind the development of modern AI and the deep learning revolution. She speaks with Kotkin about her educational journey and how it shaped her path to computer science and entrepreneurship. Drawing from her experience as co-founder and CEO of World Labs, Li explains how "world models" will extend the promise of generative artificial intelligence to new and consequential domains. Li and Kotkin also discuss the importance of truth-seeking and civic responsibility; the role of curiosity in science; and how the United States can best prepare to meet the transformative potential of artificial intelligence. Watch more on Hoover+:

On a new episode of Only in America, Fei-Fei Li Li, the "Godmother of AI," speaks with world-renowned historian and Hoover Senior Fellow Stephen Kotkin about her journey to the frontiers of spatial intelligence. 3:38 - Fei-Fei Li's high school years in New Jersey 6:58 - Li's journey to studying physics at Princeton 11:09 - Li on finding an "audacious question" in science 16:19 - Kotkin and Li on curiosity and the immigrant experience 22:01 - Li on the moral responsibilities of scientists 28:12 - Li on co-founding World Labs 34:58 - World models as the next frontier of AI 37:08 - Kotkin and Li on civic responsibility and mentorship 42:06 - Fei-Fei Li on America and adapting to the AI revolution Fei-Fei Li, Founding Director of Stanford HAI, is one of the pioneering researchers in the field of spatial intelligence. A professor of computer science at Stanford University, she invented ImageNet, which is today widely regarded as one of the driving forces behind the development of modern AI and the deep learning revolution. She speaks with Kotkin about her educational journey and how it shaped her path to computer science and entrepreneurship. Drawing from her experience as co-founder and CEO of World Labs, Li explains how "world models" will extend the promise of generative artificial intelligence to new and consequential domains. Li and Kotkin also discuss the importance of truth-seeking and civic responsibility; the role of curiosity in science; and how the United States can best prepare to meet the transformative potential of artificial intelligence. Watch more on Hoover+:

Hoover Institution

21,227 Aufrufe • vor 10 Tagen

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.

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.

Dustin

122,884 Aufrufe • vor 8 Monaten

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.

Dustin

51,814 Aufrufe • vor 8 Monaten

I'm extremely excited to announce that we've successfully inferenced π0.5 on our excavator! We've collected a massive corpus of real-world data with natural language labels from operators in the industry and are using it to create some really cool policies. Here's our first demo of it successfully completing a task with just 200 trajectories. More on the way :) Read our blog post: Physical Intelligence

I'm extremely excited to announce that we've successfully inferenced π0.5 on our excavator! We've collected a massive corpus of real-world data with natural language labels from operators in the industry and are using it to create some really cool policies. Here's our first demo of it successfully completing a task with just 200 trajectories. More on the way :) Read our blog post: Physical Intelligence

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126,433 Aufrufe • vor 7 Monaten