Fei-Fei Li

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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.

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

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

So so Convenet is a great way to represent images.

In the meantime, I think in the language that space, uh a early sequential model is called LSTM, was also being experimented.

So Andrea and I were just talking about this has been the long-term dream of mine.

I thought it would take a hundred

Years to to solve, which is telling the story of images.

When I graduated from grad school, I really thought the rest of my entire career would be towards solving that single problem, which is given a picture or given a scene.

Tell the story, in natural language, and

But things evolved so fast.

Uh when Andre and I uh when Andre started, we're like maybe combining the representation of convolutional neural network as well as the the the language uh sequential model of LSTM, we we might be able to learn uh through training to match uh um caption with images.

So that's when we started that line of work

And I I don't r it was twenty fourteen or twenty fifteen.

It was a t

So it was uh our first paper that uh uh Andre got it to work that was you know given an image.

The image is represented with COVNET, the language model is the LSTM model, and then we combine it and it's able to generate one sentence.

And that was one of the first time.

It was pretty I I think I wrote it in my book.

Uh we thought uh we were the first people doing it.

It turned out that Google at that time was also simultaneously doing it and uh

A reporter, it was John Markov from uh uh New York Times, was breaking the Google story, but he by accident heard about us and then he realized that we really independently got there together at the same time.

So he wrote the story of both the Google research as well as Andrea my research.

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