Radical Talks, Masterclass Edition: Jim Fan on The Future of Robotics and Embodied AI
From Radical Talks by Radical Ventures
February 11, 2026 · 45 min
About this episode
Jim Fan discusses the challenges and future of robotics and embodied AI with Molly Welch.
Jim Fan, Director and Distinguished Research Scientist at NVIDIA, joins Radical Partner Molly Welch to explore what's holding back embodied AI and robotics. While large language models have advanced rapidly, Jim explains why progress in the physical world depends less on ever-larger models and more on solving fundamental problems: exploration-driven learning, scalable data pipelines, and synthetic simulation. Drawing on his journey from OpenAI to leading NVIDIA's Project GR00T, they discuss the robotics data bottleneck, why foundation models matter, and what must happen before robotics reaches its "GPT-4 moment."
People in this episode
Host: Molly Welch
Guest: Jim Fan
Topics covered
- embodied AI
- robotics
- large language models
- data bottleneck
- exploration-driven learning
- synthetic simulation
Keywords
- robotics
- embodied AI
- NVIDIA
- data pipelines
- synthetic simulation
- exploration-driven learning
- foundation models
Mentioned in this episode
Organizations: NVIDIA, OpenAI, Project GR00T
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