Fei Fei Li
👤 PersonAppearances Over Time
Podcast Appearances
Exactly. Which I didn't know it exists. I was in New Jersey, Princeton and trying to pull my hair out. And then some student who did his master at Stanford came to Princeton and just mentioned it casually and said, do you know this thing? That was really, really quite a moment for me.
Yeah, 10x. That was one of the technical breakthrough that really carried this whole project.
Yeah, 10x. That was one of the technical breakthrough that really carried this whole project.
Yeah, 10x. That was one of the technical breakthrough that really carried this whole project.
Not only years and years, the budget. Hiring undergrads or whatever just doesn't cut it. The budget was not going to cut it. My tenure was on the line. It was a dicey few moments.
Not only years and years, the budget. Hiring undergrads or whatever just doesn't cut it. The budget was not going to cut it. My tenure was on the line. It was a dicey few moments.
Not only years and years, the budget. Hiring undergrads or whatever just doesn't cut it. The budget was not going to cut it. My tenure was on the line. It was a dicey few moments.
Yes, I did go rogue a little bit.
Yes, I did go rogue a little bit.
Yes, I did go rogue a little bit.
So it's very important to call out the year. My sabbatical at Google was 2017 and 2018. That was my first sabbatical. I finally had a sabbatical. And it was a conscious decision for me to go to Google because this is right after AlphaGo. So AI was having its first hype wave, at least public moment. And Silicon Valley, of course, was ahead of the curve and new AI was coming.
So it's very important to call out the year. My sabbatical at Google was 2017 and 2018. That was my first sabbatical. I finally had a sabbatical. And it was a conscious decision for me to go to Google because this is right after AlphaGo. So AI was having its first hype wave, at least public moment. And Silicon Valley, of course, was ahead of the curve and new AI was coming.
So it's very important to call out the year. My sabbatical at Google was 2017 and 2018. That was my first sabbatical. I finally had a sabbatical. And it was a conscious decision for me to go to Google because this is right after AlphaGo. So AI was having its first hype wave, at least public moment. And Silicon Valley, of course, was ahead of the curve and new AI was coming.
So I had multiple choices, but I really wanted to go to a place for two reasons. One is to learn the most advanced industry AI, and Google was by far the best. But also to go to a place where I can see how AI will impact the world. And Google Cloud was a perfect place because cloud business is serving all businesses.
So I had multiple choices, but I really wanted to go to a place for two reasons. One is to learn the most advanced industry AI, and Google was by far the best. But also to go to a place where I can see how AI will impact the world. And Google Cloud was a perfect place because cloud business is serving all businesses.
So I had multiple choices, but I really wanted to go to a place for two reasons. One is to learn the most advanced industry AI, and Google was by far the best. But also to go to a place where I can see how AI will impact the world. And Google Cloud was a perfect place because cloud business is serving all businesses.
So at Cloud, being the chief scientist, I was able to see the technology translating to product and product impacting healthcare, hospitals, financial services, insurance companies, oil and gas companies, entertainment, agriculture, governments, and all that. But in the meantime, it was confirming my hypothesis that this technology has come of age and will impact everyone.
So at Cloud, being the chief scientist, I was able to see the technology translating to product and product impacting healthcare, hospitals, financial services, insurance companies, oil and gas companies, entertainment, agriculture, governments, and all that. But in the meantime, it was confirming my hypothesis that this technology has come of age and will impact everyone.
So at Cloud, being the chief scientist, I was able to see the technology translating to product and product impacting healthcare, hospitals, financial services, insurance companies, oil and gas companies, entertainment, agriculture, governments, and all that. But in the meantime, it was confirming my hypothesis that this technology has come of age and will impact everyone.
It was the first tech clash. 2017 was right after Cambridge Analytica.