The Ledger
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Fei-Fei Li: I would never put my kids in early Tesla Autopilot
“So when Tesla's autopilot came out, I watched some of the YouTube videos. As a mom, I would never want to put my kids or myself into those cars.”
Fei-Fei Li: Atlas is the first unification of pixel generation and reconstruction
“It's the first time we have a unification of pixel generation and pixel reconstruction.”
Fei-Fei Li: Atlas grounds generative visual models in spatial context
“So, so in the, on the path to spatial intelligence, generating pixels is definitely a early step, which we have seen with What you call it, gazillions of models. But generating pixels that are truly spatially contextualized and grounded is absolutely another m…”
Fei-Fei Li: The biggest problem in robotics is data, not chips yet
“We should zoom out and recognize the biggest problem right now in robotics is actually data. One day it'll be chips, but for now it's data.”
Li: Next viewpoint prediction is equivalent to next-token prediction
“So, so we do believe very strongly that next viewpoint prediction is, is the equivalent of next token prediction.”
Li: Spatial AI will enable humanity to live in a multiverse
“Suddenly we can actually create infinite universes. Some are for robots, some are for creativity, some are for socialization, some are for travel, some are for storytelling. It suddenly will enable us to live in a multiverse.”
Fei-Fei Li: Spatial intelligence is as fundamental to AI as language
“Visual spatial intelligence is so fundamental. It's as fundamental as language.”
Fei-Fei Li: The 3D world follows physics, unlike human-generated language
“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 generalizabilit…”
Fei-Fei Li: Spatial intelligence will be the operating system for AR/VR
“Suddenly this piece of technology is, is going to be the operating system, basically for AR, VR MixR.”
Fei-Fei Li: How to achieve artificial general intelligence remains largely unknown
“Specific task-driven applications are part of AI and important, but there is also the AGI, artificial general intelligence of reasoning, abstraction, Communication, emotional interaction, understanding of intention and purpose, formulation of knowledge underst…”
Fei-Fei Li: AlphaGo's unexpected moves against Lee Sedol demonstrate AI creativity
“If you look at the four or five matches of AlphaGo, there were multiple moments when AlphaGo made a movement. Master Li Sado was really surprised. And if you look at the Go community, people were just amazed by the kind of Creativity AlphaGo has in terms of ma…”
Fei-Fei Li: Spatial intelligence requires generation, reasoning, and interaction
“Spatial intelligence eventually must enable us to both generate what the space is, reason within it, and being able to edit and interact within it.”
Fei-Fei Li: Atlas estimates camera pose to capture critical spatial geometry
“And I do believe Atlas is a significant step forward because now with every single frame, you have a, you can generate and estimate an important piece of information, which is the view, viewpoint, the camera pose, and that is the most critical information one …”
Li: World Labs founded without a scaling law for spatial intelligence
“There was no scaling law of spatial intelligence.”
Fei-Fei Li: Atlas reconstructs Stanford Quad aerial view from ground photos
“Anywhere between three to 25 images, you can reconstruct that entire Stanford quad. But the thing is, we had to show it from an aerial view, but every single input image is Ben standing on the ground, taking a picture from the ground. So everything you see are…”
Li: Spatial intelligence requires closing the loop between seeing and interacting
“Intelligence is not sitting there stuck and just seeing something or interpreting something when it comes to space and physical space, right? It's really this closing the loop between seeing and experiencing an interaction.”
Li: Data-driven AI models exhibit emergent thinking behaviors
“Data hungry models, the data driven AI can come this far and genuinely have incredible emergent behaviors of thinking machine”
Fei-Fei Li: AI World Modeling Is Fundamentally a 3D Problem
“Physics happens in three D and interaction happens in three D. Navigating behind the back of the table needs to happen in three D. Composing the world, whether physically, digitally needs to happen in three D. So fundamentally the problem is a three D problem.”
Fei-Fei Li: AlexNet's architecture mirrored 1980s models, unlocked by GPUs
“The 2012 AlexNet paper on ImageNet Challenge is literally a very classic model, and that is the convolutional neural network model, and that was published in 19 eighties, the first paper. I remember as a graduate student learning that, and it more or less also…”
Fei-Fei Li: Edge AI inference chips offer huge market opportunity beyond GPUs
“GPUs are wonderful for training the deep learning algorithms, but I think there is still a lot of space in rapid testing or inference time Chips where it can be used in recognition, you know, in devices, in embedded devices.”
Fei-Fei Li: Dedicated AI Hardware Is Early as Algorithms Haven't Matured
“I think we're still in the exploratory stage because the algorithms are not matured enough yet.”
Fei-Fei Li: No existing AI math framework enables emotional and intuitive creativity
“The kind of creativity we're talking about blending our logical thinking, emotional thinking, and just, you know, intuitive thinking. And I haven't seen today's any work that builds on the kind of mathematical formulation that would enable that.”
Fei-Fei Li: No existing frontier foundation model is robust enough for robotics
“That's just the first part of this, is meeting the robotics needs in the current technology, because we don't yet have a frontier foundation model that's robust enough for robotics.”
Li: Evolution gave animals eyes because movement requires new viewpoint prediction
“That new viewpoint prediction is exactly evolution had to solve by making animals move. You, nature give animals eyes. But nature didn't give trees eyes. Why? Because when you move, you see a new viewpoint.”
Li: Spatial intelligence is a critical component of intelligence
“Space, the three D space, the space out there, the space in your mind's eye, the spatial intelligence is a part of a critical part of intelligence.”
Li: Most investors and technologists initially failed to grasp world models
“I was at that point already talking to various people, not just computer scientists, technologists, but also investors and potentially business partners, and to be honest, most people didn't get it.”
Fei-Fei Li: Language is a lossy representation of the physical world
“Language is a lossy way to capture the world.”
Fei-Fei Li: Spatial AI now requires industry-scale compute and talent
“The time has come that concentrated industry Grade effort, focus effort in terms of compute data talent is, is really the answer to bringing this to life.”
Fei-Fei Li: All embodied robotics require 3D spatial intelligence
“Robotics to me is any body machines. It's not just humanoids or cars. There's so much in between, but all of them have to somehow figured out, ah, the three D space it lives in, have to be trained, ah, to understand the three D space and have to do things, som…”
Fei-Fei Li: AI is undergoing a Cambrian explosion beyond text
“And now I think we're in the middle of a Cambrian explosion. In almost a literal sense, because now in addition to texts, you're seeing pixels, videos, audios, all coming out with possible AI applications and a model.”
Fei-Fei Li: Language data contains more implicit human labeling than pixels
“Yes, philosophically, that's a really important question. But that actually is more true in language than pixels.”
Fei-Fei Li: Many Industry Applications Rely on Non-Deep Machine Learning
“In fact, many, many industry applications today still use some of the most powerful machine learning algorithms that are not deep.”
Fei-Fei Li: Deep learning cannot yet enable interactive observational robot learning
“You want to just, you know, like show and talk about what tasks there is and have the robot observe and learn. That kind of training scenario we cannot do in deep learning yet.”
Fei-Fei Li: Google holds early self-driving advantage in data and algorithms
“Companies like Google, even though they didn't have cars at the beginning, they had algorithms. They started this early, so they now have both data and algorithms.”
Fei-Fei Li: Naive pedestrian yielding rules cause autonomous robots to stall
“We tested that. If we do that, the robot will never go anywhere because in a very crowded space, there's always people. If the robot just follows the most naive rule of I'll yield to people all the time, the robot would just be sitting there from the starting …”
Fei-Fei Li: Autonomous navigation robots currently require location-by-location training
“As of now, we have to train them Location by location. We have to gather data.”
Fei-Fei Li: Stanford CS undergrads are 25% to 30% women
“It's about 25 to 30% in undergraduate that we have women, and then this thing just goes down as you Oh, it goes down as you go higher up.”
Fei-Fei Li: AI Is Transitioning From Laboratories to Real-World Application
“But now going forward, we're entering what I call the AI in vivo time, which AI is entering real life.”
Fei-Fei Li: AI's Moment Is Driven by ML Algorithms, Big Data, and Hardware
“So the convergence of, I'd say mathematical foundations and statistical machine learning tools, the big data and the hardware is created this historical moment of AI.”
Fei-Fei Li: Deep Learning Originated in the 1960s and 1970s
“Deep learning is not the newest. It's actually developed in the sixties, seventies by people like Kunihiko Fukushima, then carried out by Jeff Hinton and Yang Lecun and their colleagues.”
Fei-Fei Li: Human brain and motor speed are drastically slower than transistors
“Compared to computers, humans are extremely slow computing machines. The information transfer in our brain is very slow compared to transistors. And add on top of that, our motor system You know, from our brain to our muscles is even slower.”
Fei-Fei Li: Humanistic framing statistically increases high school girls' AI interest
“We conducted a rigorous evaluation project on this hypothesis. Can humanism increase the interest in AI? And we found a statistically significant difference From the beginning to the, to before and after for these girls thinking. And that particular paper is p…”