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cover of episode Teaching AI to Understand the Physical World, with Dr. Fei-Fei Li of World Labs

Teaching AI to Understand the Physical World, with Dr. Fei-Fei Li of World Labs

2025/6/5
logo of podcast No Priors: Artificial Intelligence | Technology | Startups

No Priors: Artificial Intelligence | Technology | Startups

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Fei-Fei Li: 空间智能对我而言,是理解、推理、互动和生成3D世界的能力。我们的世界本质上是3D的,无论我们如何投射它。如果存在一个真实的3D表示,许多事情,如设计、创造、导航、模拟或体验AR/VR,都会变得更容易实现。人类和动物都具备空间智能,这与进化过程紧密相连。空间智能是如此基础,以至于没有它,人工智能是不完整的。我认为从神经和认知科学的角度来看,空间智能是进化必须为动物解决的一个难题。动物必须进化出收集光线的能力,然后用这些光线在脑海中重建一个3D世界,以便它们能够导航和行动。人类是操纵能力最强的动物,所有这些都与空间智能有关。即使对于人类来说,空间智能也不是一个完全解决的问题,例如,闭上眼睛构建周围环境的3D模型并不容易。如果我们能更容易地在指尖上完成复杂的3D模型,并实现更流畅的互动和可编辑性,那将为人们创造一个全新的世界。

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In this episode of No Priors, Sarah and Elad are joined by Dr. Fei-Fei Li, AI pioneer, co-director of Stanford’s Human-Centered AI Institute, and founder of World Labs. Fei-Fei shares why she’s building at the intersection of embodiment and intelligence, and what today’s AI systems are still missing. From the early days of ImageNet to her vision for the next generation of robotics, she unpacks the human and technical motivations behind World Labs. They also discuss the challenges of 3D world modeling, her approach to building exceptional teams, and the special qualities that have led her students like Andrej Karpathy to make major breakthroughs.

Show Notes:

0:00 Why and what Dr. Fei-Fei Li is building

3:00 World models at World Labs

6:44 Missing gaps in the AI future

9:16 Robotics and physical intelligence

16:15 Greatest challenges of 3D

19:08 Fei-Fei’s work in PhD in ImageNet

23:05 Special moments in Dr. Li's career

29:33 Building teams

32:05 Human-centered AI