Fei-Fei Li

speaker

562 appearances 2 recordings 1 series first heard Nov 2025 last heard 25 Nov

Fei-Fei Li’s voice in public audio — every appearance, attributed to the second.

Trend

recordings per month · last 12 months

Recordings per month over the last 12 months — 2 in all, peaking in Nov 2025 with 2.

Appearances

newest first · ▶ plays the moment

Latent Space: The AI Engineer Podcast · After LLMs: Spatial Intelligence and World Models — Fei-Fei Li & Justin Johnson, World Labs · 25 Nov 2025 podcast

In order to have precise camera placement, it means you have to have a sense of three D space.

Otherwise you don't know how to orient your camera, right?

And how to move your camera.

So that is a natural consequence of this kind of model and and this is why

This is just one of the examples of

you cannot say pan sixty three degrees to the north, right?

You just don't have that control.

Whereas in Marble, you have precise control in terms of placing a camera.

ideas in industry.

Yeah, and there's opportunity for dynamics, right?

If you go to World Labs home homepage, there is a particular page called Marble Labs.

There we showcase different use cases and we actually organize them in more visual effect use cases or gaming use cases as well as simulation use cases.

And in that we actually show this is a technology that can help a lot in robotic training, right?

This uh goes back to what I was talking about earlier in uh

Speaking of data starvation, uh robotic training really lack data.

You know, high fidelity real world data is absolutely very critical, but uh it's you're just not gonna get a ton of that.

Of course the other extreme is just purely internet video data, but then you lack a lot of the

The controllability that you want to train your embodied agents with.

So simulation and synthetic data is actually a very important middle ground for that.

I've been working in this space for many years.

Showing 441–460 of 562 · page 23 of 29