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Fei-Fei Li on spatial intelligence and human-centered AI

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Jan 15, 2025
Guest
Fei-Fei Li
Fei-Fei Li, a pioneering computer scientist and the co-founder of World Labs, shares her insights on the intersection of spatial intelligence and AI. She discusses her groundbreaking work on ImageNet that transformed computer vision and emphasizes the importance of spatial awareness in AI applications. Fei-Fei explores the nuances between language models and world models, advocating for human-centered AI that respects agency and fosters collaboration. She envisions a future where technology enhances our capabilities, particularly in fields like healthcare and education.
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INSIGHT

Spatial Intelligence

  • Spatial intelligence, the ability to perceive and interact with the 3D world, is crucial for AI development.
  • It bridges the gap between the physical and digital 3D worlds.
INSIGHT

Blurring Realities

  • Spatial intelligence will blur the lines between the real and digital worlds.
  • This will lead to new applications that seamlessly integrate digital information with real-world interactions.
INSIGHT

LWMs vs. LLMs

  • Large world models (LWMs) focus on perceiving and interacting with the world.
  • Unlike large language models (LLMs), which work with language, LWMs use pixels and voxels.
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