Fei-Fei Li on Spatial Intelligence and Robotics
Episode publishedPodcast: The a16z ShowThe a16z Show
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We are building the next frontier of AI, which is what we call spatial intelligence.
At Synix, we are developing what we call a real to sim to real pipeline. We can replace all the data, all the evaluation we need in the real environment by using the data that can generate at a scalable way in our digital world.
Think about human intelligence. We do a lot of simulation in our head. You know why? There's a very important role simulation plays that real world data doesn't play, which is counterfactual reasoning.
What we are building is a consistent world, consistent both over space, over time, over different view points, and over different type of interactions. My North Star is I want the robot to work.
The world we live in can be multiverse, that we create technology to allow people, builders, developers to act within different spaces.
Do you believe we'll ever be able to build robots that have the power efficiency of a human being? How far away are we from this? Is this, like, five years or this is, like, never?
The TLDR is
Language models transformed how AI understands words. The next frontier is teaching AI to understand and act within the physical world. Following WorldLab's acquisition of Sinex, Martin Casado sits down with Fei Fei Li and Yun Zhu Li to unpack the vision behind the deal. They discuss spatial intelligence, world models, simulation, and why solving robotics will require a new generation of AI built for three-dimensional reasoning, not just language.
Alright. Well, it's great to have you both here. So, Fei Fei, for the listeners that may not have the background, maybe you can give an overview of what Worldlabs does.
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