27 korrents · 2 episodes · 2 guests · a16z.com ↗
Each episode below lists what its guest said, quoted word for word from the transcript the show publishes and linked to the second it was said, so you can hear it rather than take our word for it. The sentence on each line is our reading of the claim, not their wording. Nothing the host ASKED is here, on any line: a question is not a belief, however confidently it is phrased.
Why Fei-Fei Li Is Betting on Spatial Intelligence
Our page for this episode →Watch on youtube.com ↗
Our reading — their words are on the recording
Their wordsIt's the first time we have a unification of pixel generation and pixel reconstruction. In the world of computer vision this field has been around for more than half a century.
Their wordsWell, 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.
Their wordsBut to do that, a fundamental problem to solve is to understand the geometry and structure and the physics of the space.
Their wordsAnd I do believe Atlas is a significant step forward because now with every single frame, you have a you can generate an estimate a important piece of information, which is the the view viewpoint, the camera pose. And that is the most critical information one needs about the geometry of the of the space.
Their wordsSo in the on the path to spatial intelligence, generating pixels is definitely a 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 major step. And that is the very hard step that Atlas has taken.
Their wordsOne thing that's under appreciated on the website of the demos is the Stanford demo where Ben showed uh anywhere between 3 to 25 images you can reconstruct that entire Stanford quad. But the thing is we had to show it from aerial view. But every single input image is been standing on the ground taking a picture from the ground. So, everything you see are generated but according to the laws of reconstruction.
Travis Kalanick: How AI Will Transform the Physical World
Our page for this episode →Watch on youtube.com ↗
Our reading — their words are on the recording
Their wordsBut if you're digitizing the physical world, you're treating atoms like bits. And you're like, well, I know that CPU manipulates the bits. What manipulates atoms? That's manufacturing or digitized manufacturing.
Their wordsEverything we see, whether it's this room or any room or anywhere you go, everything you see was either grown or mined, manufactured and moved. Everything. And so we look at what we do as industrial AI.
Their wordsChips come from the ground. Where's the energy come from? And a lot of people are like, "Oh, it comes from the sun." Yeah, it comes from the sun. But how are you capturing it from the sun? From stuff made from the ground, right?
Their wordsIf you're doing highcale tasks, industrial scale tasks, you are going to make specialized machines that move and act in the physical world. The key part is move. If they're moving, they got to have wheels.
Their wordsSo, we know Phelps is the gold medals guy, but I like to say that transport is full of silver medals, right? A lot of people think about ride sharing as a gold medal. What about food delivery? What about parcel delivery?
Their wordsif you are good at finding valuable unknown truths then it means you're going to know a lot of things other people don't know. And if you know a lot of things that other people don't know it means you can do a lot of things that other people can't do.