Fei-Fei Li, co-founder of World Labs and Stanford professor, discusses the evolutionary timeline of perception versus language when comparing AI modalities.
“And in nature, you know, it took five hundred, forty million years to optimize perception and spatial intelligence and language in the most Generous estimation of language development is probably half a million years.”
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More from Fei-Fei Li
AssertionNot checkable as stated
Li: Marble is the first public high-fidelity 3D generative world model
“It's the first in-class model in the world that generates three D worlds in this level of fidelity that is in the hands of the public.”
Fei-Fei LiNov 25, 2025▶ 31:06After LLMs: Spatial Intelligence and World Models — Fei-Fei Li & Justin Johnson, World Labs
Insight
Li: LLMs can predict physical trajectories without abstracting physical laws
“I wouldn't be surprised that given enough celestial movement data, an LLM would actually predict pretty accurate movement trajectories... I wouldn't be surprised, but F equals MA or, you know, action equals reaction. That's just a whole different abstraction l…”
Fei-Fei LiNov 25, 2025▶ 52:48After LLMs: Spatial Intelligence and World Models — Fei-Fei Li & Justin Johnson, World Labs
Opinion
Li: 3D and 4D spatial structure is fundamentally unlike 1D text
“I do think the architecture of these generative models will share a lot of shareable components, but I think the deeply three D four D spatial world has a level Of structure that is fundamentally different from a purely generative signal that is one dimensiona…”
Fei-Fei LiNov 25, 2025▶ 21:10After LLMs: Spatial Intelligence and World Models — Fei-Fei Li & Justin Johnson, World Labs
Opinion
Li: Scaling can bridge visual generative AI and physical engineering
“I think this is a matter of scaling data and bettering model. I don't think there's anything fundamental that separates these two.”
Fei-Fei LiNov 25, 2025▶ 27:58After LLMs: Spatial Intelligence and World Models — Fei-Fei Li & Justin Johnson, World Labs
Opinion
Li: Marble has real potential to generate synthetic data for robotics
“Marble actually is a, Really potential for helping to generate these synthetic simulated worlds for embodied agent training.”
Fei-Fei LiNov 25, 2025▶ 40:13After LLMs: Spatial Intelligence and World Models — Fei-Fei Li & Justin Johnson, World Labs
PredictionNot checkable as stated
Li: World models will move beyond sequence-to-sequence architectures
“I think sequence to sequence is actually in world models, I think we are going to see algorithm or architecture beyond sequence to sequence.”
Fei-Fei LiNov 25, 2025▶ 56:27After LLMs: Spatial Intelligence and World Models — Fei-Fei Li & Justin Johnson, World Labs
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