Fei-Fei Li on World Models, AI's Future, and Building World Labs

AI pioneer Fei-Fei Li discusses her path from the ImageNet breakthrough to founding World Labs, and explains why she believes spatial intelligence and world models represent the next chapter of artificial intelligence. The conversation also covers the limitations of large language models, the challenges of building a startup, and her perspective on AI policy and regulation.

■ From ImageNet to AI Leadership
- Fei-Fei Li's early curiosity, immigration, and academic journey
- The creation of ImageNet and its role in sparking modern AI
- Her work as a Stanford professor, Google executive, and policy advisor

■ World Models and World Labs
- Why world models go beyond language models
- The three functions of spatial intelligence: rendering, simulation, and planning
- World Labs' approach to building generative 3D worlds and applications in robotics, gaming, and virtual production

■ AI's Societal Impact and Governance
- Mixed public sentiment and student anxieties about AI
- The importance of science-based regulation and public-sector investment
- Concerns about misuse, disinformation, and the responsibility of AI leaders

This video is suited for anyone interested in the future of AI, computer vision, and robotics. Viewers will come away with a clearer understanding of world models, the motivations behind World Labs, and how a leading scientist thinks about steering AI toward positive outcomes.