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Ana Sayfaya Dön

I loved getting to discuss the future of artificial intelligence—while sitting in a self-driving car!—with renowned computer scientist Fei-Fei Li. Her new book, The Worlds I See, is out tomorrow. I think you’ll want to read it.

Melinda French Gates

2,310,717 subscribers

134,807 görüntüleme • 3 yıl önce •via X (Twitter)

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@drfeifei It was our pleasure, @melindagates!

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@drfeifei Would professor Li look into my AI IPs claims please?

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@drfeifei Bill also has a weak spot for Chinese girls, I heard

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@drfeifei The ultra-right is resurfacing and along with that the failure of the 2030 agenda, it will be useless to try to alter the presidential elections in different countries, it is necessary again for the world to come to a standstill very soon for a GREAT RESET to occur. @BillGates

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@drfeifei Mel8nda? Are you here to save my life? Como. Lets have some tea somewhere else.

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@drfeifei She is a good example for women scientists. 👍 and will read her book for her AI view.

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@drfeifei At Microsoft Bill was known as two car Bill. Wonder why he drove home and to work in one car while had a lunchtime car?

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@drfeifei 🎉

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@drfeifei Welcome to dr Li's The Worlds I See book I welcome the services of Gates Foundation to bring the benefits of artificial intelligence technology to people. Thanks to Melinda French Gates.

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Mr Wine🍷🇿🇦🇵🇸🇷🇺🇨🇳3 yıl önce

@drfeifei How do you sleep at night? be principled when it matters. Use your voice as a human being, a mother to say no to the genocide, no to these heinous crimes against women and children of Palestine

Benzer Videolar

Can artificial intelligence be a force for good? Luckily for us, renowned computer scientist Fei-Fei Li has spent her entire career working to ensure it will be. I’m so excited for you to read about Dr. Li’s remarkable work in her new memoir, The Worlds I See, out tomorrow 🌟

Can artificial intelligence be a force for good? Luckily for us, renowned computer scientist Fei-Fei Li has spent her entire career working to ensure it will be. I’m so excited for you to read about Dr. Li’s remarkable work in her new memoir, The Worlds I See, out tomorrow 🌟

Melinda French Gates

17,634 görüntüleme • 3 yıl önce

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

23,749 görüntüleme • 16 gün önce

📁 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.

Jon Hernandez

20,660 görüntüleme • 9 ay önce

.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 görüntüleme • 2 yıl önce

Fei-Fei Li: Open Source AI Needs To Be Protected⁣ ⁣ "I think open source should be protected. If there is efforts of open source both in public sector as like academia as well as private sector is so important. It's so important for the entrepreneurial ecosystem." — Fei-Fei Li

Fei-Fei Li: Open Source AI Needs To Be Protected⁣ ⁣ "I think open source should be protected. If there is efforts of open source both in public sector as like academia as well as private sector is so important. It's so important for the entrepreneurial ecosystem." — Fei-Fei Li

AI Insights

33,472 görüntüleme • 1 yıl önce

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

477,081 görüntüleme • 2 yıl önce

I asked Fei-Fei Li how far we are from AI with the everyday capability of humans. The omelet, the laundry folding, the basketball. First she answered like a scientist: "I never know what's 100%." Then the range: not 100 years, maybe not even 50, and not one year either. Her goal is to get there in her lifetime.

I asked Fei-Fei Li how far we are from AI with the everyday capability of humans. The omelet, the laundry folding, the basketball. First she answered like a scientist: "I never know what's 100%." Then the range: not 100 years, maybe not even 50, and not one year either. Her goal is to get there in her lifetime.

Marina Mogilko

13,537 görüntüleme • 4 ay önce

Artificial Intelligence has the potential to transform society by emulating human intelligence across a wide variety of industries. The United States must embrace its potential for innovation yet lead with balanced regulation, strategic investment, and robust security measures to maintain global technological advantage. Read Fei-Fei Li Li's chapter in the 2025 Stanford Emerging Technology Review (SETR) here:

Artificial Intelligence has the potential to transform society by emulating human intelligence across a wide variety of industries. The United States must embrace its potential for innovation yet lead with balanced regulation, strategic investment, and robust security measures to maintain global technological advantage. Read Fei-Fei Li Li's chapter in the 2025 Stanford Emerging Technology Review (SETR) here:

Hoover Institution

14,229 görüntüleme • 1 yıl önce

“Is AI overhyped or underhyped?” Fei-Fei Li: "Silicon Valley can mistake clear vision with short distance. In 2006 the first self-driving car drove 140 miles...it still took 20 years for Waymo to be barely on the road." "Clear vision is important, but the journey will be long."

“Is AI overhyped or underhyped?” Fei-Fei Li: "Silicon Valley can mistake clear vision with short distance. In 2006 the first self-driving car drove 140 miles...it still took 20 years for Waymo to be barely on the road." "Clear vision is important, but the journey will be long."

TBPN

96,564 görüntüleme • 11 ay önce

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

Y Combinator

194,849 görüntüleme • 1 yıl önce

Fei-Fei Li says AI is not over-hyped; it is a civilizational technology that represents the new computing Wherever chips exist today, from light bulbs to self-driving cars, AI will inevitably follow "wherever there is compute, there will be AI"

Fei-Fei Li says AI is not over-hyped; it is a civilizational technology that represents the new computing Wherever chips exist today, from light bulbs to self-driving cars, AI will inevitably follow "wherever there is compute, there will be AI"

Haider.

102,542 görüntüleme • 11 ay önce

Fei-Fei Li on what simulation can do for robotics that real-world data can't: "You play out events that haven't happened, or cannot happen... And while you play it out, you learn how to act in it." "That's really important in robotics, because we cannot possibly have enough real-world data for that." "Here is a real life example: the industry of self-driving cars. Waymo has officially said they use billions of hours of simulation." "Cars are the simplest kind of robots. So clearly simulation plays a huge role in robotic learning." Fei-Fei Li Yunzhu Li World Labs martin_casado

Fei-Fei Li on what simulation can do for robotics that real-world data can't: "You play out events that haven't happened, or cannot happen... And while you play it out, you learn how to act in it." "That's really important in robotics, because we cannot possibly have enough real-world data for that." "Here is a real life example: the industry of self-driving cars. Waymo has officially said they use billions of hours of simulation." "Cars are the simplest kind of robots. So clearly simulation plays a huge role in robotic learning." Fei-Fei Li Yunzhu Li World Labs martin_casado

a16z

35,794 görüntüleme • 3 ay önce

World Labs co-founders Justin Johnson and Dr. Fei-Fei Li say LLMs use next-token prediction, but spatial intelligence has its own equivalent: Justin: "The soft definition of AI-completeness is there's this fundamental primitive that's an AI task. But if I could solve this AI task in its full, broadest generality, it would solve any intelligence problem." "The classic example in LLMs is that next-token prediction is AI-complete... I think from Ilya: there's a mystery novel, the thing has to read the whole novel, and the final sentence is, 'And the killer was.' Predict the next token. You could basically frame any kind of intelligence task in terms of that." "So clearly next-token prediction is something people believe is AI-complete." "New-view prediction, this primitive that we have in Atlas, especially generative new-view prediction, is also AI-complete." "I want to have a world where Martin is writing a proof of the Riemann hypothesis on the blackboard, and then the camera pans over to the next whiteboard." Fei-Fei: "Evolution had to solve new-viewpoint prediction by making animals move. Nature gave animals eyes, but nature didn't give trees eyes. Why? Because when you move, you see a new viewpoint... We do believe very strongly that next-viewpoint prediction is the equivalent of next-token prediction." Justin Johnson Fei-Fei Li martin_casado

World Labs co-founders Justin Johnson and Dr. Fei-Fei Li say LLMs use next-token prediction, but spatial intelligence has its own equivalent: Justin: "The soft definition of AI-completeness is there's this fundamental primitive that's an AI task. But if I could solve this AI task in its full, broadest generality, it would solve any intelligence problem." "The classic example in LLMs is that next-token prediction is AI-complete... I think from Ilya: there's a mystery novel, the thing has to read the whole novel, and the final sentence is, 'And the killer was.' Predict the next token. You could basically frame any kind of intelligence task in terms of that." "So clearly next-token prediction is something people believe is AI-complete." "New-view prediction, this primitive that we have in Atlas, especially generative new-view prediction, is also AI-complete." "I want to have a world where Martin is writing a proof of the Riemann hypothesis on the blackboard, and then the camera pans over to the next whiteboard." Fei-Fei: "Evolution had to solve new-viewpoint prediction by making animals move. Nature gave animals eyes, but nature didn't give trees eyes. Why? Because when you move, you see a new viewpoint... We do believe very strongly that next-viewpoint prediction is the equivalent of next-token prediction." Justin Johnson Fei-Fei Li martin_casado

a16z

89,108 görüntüleme • 2 ay önce

📁 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 görüntüleme • 8 ay önce

Fei-Fei Li: “There’s nothing artificial about AI. It’s inspired by people. It’s created by people. And most importantly, it impacts people.” Watch the full interview with World Labs CEO Fei-Fei Li on Lenny's Podcast (Lenny Rachitsky):

Fei-Fei Li: “There’s nothing artificial about AI. It’s inspired by people. It’s created by people. And most importantly, it impacts people.” Watch the full interview with World Labs CEO Fei-Fei Li on Lenny's Podcast (Lenny Rachitsky):

a16z

63,672 görüntüleme • 11 ay önce

Fei-Fei Li (Fei-Fei Li) on limitations of LLMs. "There's no language out there in nature. You don't go out in nature and there's words written in the sky for you.. There is a 3D world that follows laws of physics." Language is purely generated signal.

Fei-Fei Li (Fei-Fei Li) on limitations of LLMs. "There's no language out there in nature. You don't go out in nature and there's words written in the sky for you.. There is a 3D world that follows laws of physics." Language is purely generated signal.

Rohan Paul

1,854,870 görüntüleme • 1 yıl önce

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

a16z

112,217 görüntüleme • 5 ay önce

This is why the future is exciting. Stanford’s Fei-Fei Li shows off how a human controlling a robot with just his mind. The rest of the day’s talks are being live streamed. See my last post.

This is why the future is exciting. Stanford’s Fei-Fei Li shows off how a human controlling a robot with just his mind. The rest of the day’s talks are being live streamed. See my last post.

Robert Scoble

43,036 görüntüleme • 1 yıl önce