Fei Fei Li

And that process was once we realized, thanks to the inspiration of WordNet and also Biedermann's number and also many other previous inspiration, we realized what computers really need is big data. And that was so common today because everybody talks about big data, you know, OpenAI talks about big data. But back in 2006, 2006, 2007, that was not a concept.

And that process was once we realized, thanks to the inspiration of WordNet and also Biedermann's number and also many other previous inspiration, we realized what computers really need is big data. And that was so common today because everybody talks about big data, you know, OpenAI talks about big data. But back in 2006, 2006, 2007, that was not a concept.

But we decided that was the missing piece. So we need to create a big data set. How big is big? Nobody knows. My conjecture went with Biederman's number. Why don't we just map out the entire world's visual concept? Oh, my God.

But we decided that was the missing piece. So we need to create a big data set. How big is big? Nobody knows. My conjecture went with Biederman's number. Why don't we just map out the entire world's visual concept? Oh, my God.

But we decided that was the missing piece. So we need to create a big data set. How big is big? Nobody knows. My conjecture went with Biederman's number. Why don't we just map out the entire world's visual concept? Oh, my God.

Why don't we?

Why don't we?

Why don't we?

Okay. So Professor Kai Li at Princeton, he was very supportive of me. He was a senior faculty. But what was really critical was he recommended his student to join my lab, Jia Deng. And Jia was just a deer in the headlight as a young first-year graduate student. He didn't know what's going on. He got this crazy assistant professor of me.

Okay. So Professor Kai Li at Princeton, he was very supportive of me. He was a senior faculty. But what was really critical was he recommended his student to join my lab, Jia Deng. And Jia was just a deer in the headlight as a young first-year graduate student. He didn't know what's going on. He got this crazy assistant professor of me.

Okay. So Professor Kai Li at Princeton, he was very supportive of me. He was a senior faculty. But what was really critical was he recommended his student to join my lab, Jia Deng. And Jia was just a deer in the headlight as a young first-year graduate student. He didn't know what's going on. He got this crazy assistant professor of me.

and told him that we're going to create a data set that map out the whole world's visual concept. He's like, sure. You know, I don't know what you're talking about, but let's get started. So he and I went through the journey together. I mean, he's a phenomenal computer scientist and many hoops we jumped through together. It was just the solution that got us through.

and told him that we're going to create a data set that map out the whole world's visual concept. He's like, sure. You know, I don't know what you're talking about, but let's get started. So he and I went through the journey together. I mean, he's a phenomenal computer scientist and many hoops we jumped through together. It was just the solution that got us through.

and told him that we're going to create a data set that map out the whole world's visual concept. He's like, sure. You know, I don't know what you're talking about, but let's get started. So he and I went through the journey together. I mean, he's a phenomenal computer scientist and many hoops we jumped through together. It was just the solution that got us through.

That's an interesting observation.

That's an interesting observation.

That's an interesting observation.

I do tell my kids ideas are cheap. Exactly. Hollywood.

I do tell my kids ideas are cheap. Exactly. Hollywood.

I do tell my kids ideas are cheap. Exactly. Hollywood.