transcript · 12,225 words

The Godmother of AI on jobs, robots, and why world models are next | Dr. Fei-Fei Li

Transcribed with NVIDIA Parakeet · Timestamps stay in sync with the live audio

Lotta people call you the godmother of AI. The work you did actually was the spark that brought us out of AI winter. In the middle of twenty fifteen, middle of twenty sixteen. Some tech companies avoids using the word AI because they were not sure if AI was a dirty word. Twenty seventeen ish was the beginning of conversation. Companies calling themselves AI companies. There's this line I think this was when you're presenting to Congress. There's nothing artificial about AI. It's inspired by people, it's created by people, and most importantly it impacts people. It's not like I think AI will have no impact on jobs or people. In fact, I believe that Whatever AI does currently or in the future is up to us. It's up to the people. I do believe technology is a net positive for humanity, but I think every technology is a double edged sword. If we're not doing the right thing as a society, as individuals, we can screw this up as well. You had this breakthrough insight of just okay, we can train machines to think like humans, but it's just missing the data that humans have to learn as a child. I chose to look at artificial intelligence through the lens of Visual intelligence because humans are deeply visual animals. We need to train machines with as much information as possible on images of objects. But objects are very, very difficult to learn.

A single object can have infinite possibilities that is shown on an image. In order to train computers with tens and thousands of object concepts, you really need to show it millions of examples. Today, my guest is Dr. Fei Fei Li, who's known as the godmother of AI. Feife has been responsible for and at the center of many of the biggest breakthroughs that sparked the AI revolution that we are currently living through. She spearheaded the creation of ImageNet, which was basically her realizing that AI needed a ton of clean labeled data to get smarter. And that data set became the breakthrough that led to the current approach to building and scaling AI models.

She was chief AI scientist at Google Cloud, which is where some of the biggest early technology breakthroughs emerged from. She was director at Sale, Stanford's artificial intelligence lab, where many of the biggest AI mines came out of. She's also co creator of Stanford's Human Centered AI Institute, which is playing a vital role in the direction that AI is taking. She's also been on the board of Twitter. She was named one of Time's one hundred most influential people in AI. She's also on the United Nations advisory board, I could go on. In our conversation, Fei Fei shares a brief history of how we got to today in the world of AI, including this mind blowing reminder that

That is the first couple of minutes. The rest is 1 credit.

We already have this episode, so unlocking it is cheap and permanent: the full transcript, segment and word-level timestamps, and .txt, .srt, .vtt and word-level JSON downloads, as many times as you like, forever.

10 free credits is 10 episodes like this one a month. Episodes nobody has transcribed yet cost their length in hours, because we have to actually transcribe them.