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Fei-Fei Li

Co-Founder and CEO, World Labs · 1 appearance on the record.

computed by AI from the episodes · how this works → · full disclaimer →

academicscientistfounderexecutiveauthor@drfeifei ↗LinkedIn ↗vision.stanford.edu/feifeili ↗Wikipedia ↗

Fei-Fei Li is the co-founder and CEO of World Labs and a computer science professor at Stanford University. She created ImageNet, which catalyzed modern deep learning, and previously served as Chief Scientist of AI/ML at Google Cloud.

8statements → 3claims → 1claims resolved → 3.5/5average certainty → 2.38/5average debate potential → 21said about them ↓

1 supported 0 partly supported 0 contradicted 2 not checkable as stated how the 3 claims stand · each chip opens the sources

1 prediction · 2 assertions · 3 opinions · 1 insight · 1 disclosure · every statement was checked. The prediction and assertions are the 3 claims: statements the public record can support or contradict. 1 is resolved, and 2 name no date, number or outcome precise enough to check. Everything else (opinions, insights, what ifs, disclosures) can never be settled by the record, so it carries no assessment.

The record, in short

What the tape says about how Fei-Fei argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.

Their most notable supported claim

Assertion Supported
Li: Evolution spent 540M years on spatial intelligence versus 0.5M on language
“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.”
Fei-Fei Li Nov 25, 2025 ▶ 48:47 After LLMs: Spatial Intelligence and World Models — Fei-Fei Li & Justin Johnson, World Labs

Everything Fei-Fei Li said on Latent Space that made the record, most notable first. Filter by type, assessment or year in the ledger →

Assertion Not 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 Li Nov 25, 2025 ▶ 31:06 After 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 Li Nov 25, 2025 ▶ 52:48 After 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 Li Nov 25, 2025 ▶ 21:10 After 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 Li Nov 25, 2025 ▶ 27:58 After 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 Li Nov 25, 2025 ▶ 40:13 After LLMs: Spatial Intelligence and World Models — Fei-Fei Li & Justin Johnson, World Labs
Prediction Not 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 Li Nov 25, 2025 ▶ 56:27 After LLMs: Spatial Intelligence and World Models — Fei-Fei Li & Justin Johnson, World Labs
Assertion Supported
Li: Evolution spent 540M years on spatial intelligence versus 0.5M on language
“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.”
Fei-Fei Li Nov 25, 2025 ▶ 48:47 After LLMs: Spatial Intelligence and World Models — Fei-Fei Li & Justin Johnson, World Labs
Disclosure
Li: World Labs was founded to build spatial intelligence beyond LLMs
“I think around, you know, more than two years ago, for sure, I think both independently, both of us have been looking at the development of the large models and thinking about What's beyond language models and this idea of building world models, spatial intell…”
Fei-Fei Li Nov 25, 2025 ▶ 2:14 After LLMs: Spatial Intelligence and World Models — Fei-Fei Li & Justin Johnson, World Labs

The other half of the tape: Fei-Fei Li's own voice is left out of every number here. Other people bring the name up 20 times in 9 episodes on Latent Space. 1 statement on the record names them. every mention, with the transcript →

Who brings them up most Martin Casado 6Shawn Wang 2Yaroslav Azhnyuk 1Alessio Fanelli 1

Statements about Fei-Fei Li, by other people (1)

Opinion
De Witte: Static 3D environments without interactivity are not true world models
“However, my understanding is they're currently not interactive, which in my opinion is like the whole point of world models, right? It's environments. They're great environments. And I think from a business perspective, I think they picked a really important p…”
Pim de Witte Dec 6, 2025 ▶ 44:27 World Models & General Intuition: Khosla's largest bet since LLMs & OpenAI

Every mention by year

tap a year for its mentions
008315620252026episodesmentions
03620252026episodes it came up in
001.533620252026episodesmentions per episode
2026 11 mentions in 6 episodes 2 per episode
2025 9 mentions in 3 episodes 3 per episode

Appearances (1)

EpisodeDateSpeaking time
After LLMs: Spatial Intelligence and World Models — Fei-Fei Li & Justin Johnson, World Lab Nov 25, 2025 20m
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