No PriorsNo Priors Ep. 117 | With Co-Director of Stanford's HAI & Founder of World Labs Dr. Fei-Fei Li
Episode Details
EPISODE INFO
- Released
- June 5, 2025
- Duration
- 35m
- Channel
- No Priors
- Watch on YouTube
- ▶ Open ↗
EPISODE DESCRIPTION
In this episode of No Priors, Sarah and Elad are joined by 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 Fei-Fei 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 career 29:33 Building teams 32:05 Human-centered AI
SPEAKERS
Sarah Guo
hostFei-Fei Li
guestElad Gil
host
EPISODE SUMMARY
In this episode of No Priors, featuring Sarah Guo and Fei-Fei Li, No Priors Ep. 117 | With Co-Director of Stanford's HAI & Founder of World Labs Dr. Fei-Fei Li explores fei-Fei Li on spatial intelligence, world models, and fearless AI Dr. Fei-Fei Li discusses why she founded World Labs to build 3D world-model foundation models and argues that spatial intelligence is as fundamental to AI as language. She explains spatial intelligence as understanding, reasoning about, and generating plausible 3D environments that respect geometry and physics, enabling applications from robotics to creative tools and AR/VR. The conversation covers unsolved frontiers like emotional intelligence, the role of simulation and haptics in robotics, and the importance of diverse robot morphologies optimized for specific tasks. Li also reflects on her ImageNet and captioning work, advocates for fearless research and entrepreneurship outside mega-corporate labs, and articulates a vision of human-centered AI that augments people, especially in domains like healthcare.
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