Fei Fei Li

Right. Up to that point, you can think no matter how powerful the computer was, it was used for programmed calculation. So what was the inflection concept? I think two intertwined concepts. One is reasoning. Like you said, if I ask you a question, can you reason with it? Could you deduce if a red ball is bigger than a yellow ball, a yellow ball is bigger than a blue ball.

Right. Up to that point, you can think no matter how powerful the computer was, it was used for programmed calculation. So what was the inflection concept? I think two intertwined concepts. One is reasoning. Like you said, if I ask you a question, can you reason with it? Could you deduce if a red ball is bigger than a yellow ball, a yellow ball is bigger than a blue ball.

Right. Up to that point, you can think no matter how powerful the computer was, it was used for programmed calculation. So what was the inflection concept? I think two intertwined concepts. One is reasoning. Like you said, if I ask you a question, can you reason with it? Could you deduce if a red ball is bigger than a yellow ball, a yellow ball is bigger than a blue ball.

Therefore, the red ball must be bigger than the blue ball.

Therefore, the red ball must be bigger than the blue ball.

Therefore, the red ball must be bigger than the blue ball.

Without directly saying red ball is bigger than the blue ball. So that's a reasoning. So that's one aspect. A very, very intertwined aspect of that is learning. A calculator doesn't learn whether you have a good 10 button or not. It just does what it is.

Without directly saying red ball is bigger than the blue ball. So that's a reasoning. So that's one aspect. A very, very intertwined aspect of that is learning. A calculator doesn't learn whether you have a good 10 button or not. It just does what it is.

Without directly saying red ball is bigger than the blue ball. So that's a reasoning. So that's one aspect. A very, very intertwined aspect of that is learning. A calculator doesn't learn whether you have a good 10 button or not. It just does what it is.

Once I had a bad one. So artificial intelligence software should be able to learn. That means if I learn to see tiger one, tiger two, tiger three, at some point when someone gives me tiger number five, I should be able to learn, oh, that's a tiger, even though that's not tiger one, two, three. Right. So that's learning.

Once I had a bad one. So artificial intelligence software should be able to learn. That means if I learn to see tiger one, tiger two, tiger three, at some point when someone gives me tiger number five, I should be able to learn, oh, that's a tiger, even though that's not tiger one, two, three. Right. So that's learning.

Once I had a bad one. So artificial intelligence software should be able to learn. That means if I learn to see tiger one, tiger two, tiger three, at some point when someone gives me tiger number five, I should be able to learn, oh, that's a tiger, even though that's not tiger one, two, three. Right. So that's learning.

But even before the Dartmouth workshop, there were early inklings, like Alan Turing's daring question to humanity, can you make a machine that can converse with people, QA with people, question and answer, so that you don't really know if it's a machine or a person. It's this curtain setup that he conjectured. Yeah.

But even before the Dartmouth workshop, there were early inklings, like Alan Turing's daring question to humanity, can you make a machine that can converse with people, QA with people, question and answer, so that you don't really know if it's a machine or a person. It's this curtain setup that he conjectured. Yeah.

But even before the Dartmouth workshop, there were early inklings, like Alan Turing's daring question to humanity, can you make a machine that can converse with people, QA with people, question and answer, so that you don't really know if it's a machine or a person. It's this curtain setup that he conjectured. Yeah.

So it was already there, but I think the founding fathers kind of formalized the field. Of course, what's interesting is for the first few decades, they went straight to reasoning. So they were less about learning. They were more about reasoning. They were more about using logic to deduce the red ball, yellow ball, blue ball question.

So it was already there, but I think the founding fathers kind of formalized the field. Of course, what's interesting is for the first few decades, they went straight to reasoning. So they were less about learning. They were more about reasoning. They were more about using logic to deduce the red ball, yellow ball, blue ball question.

So it was already there, but I think the founding fathers kind of formalized the field. Of course, what's interesting is for the first few decades, they went straight to reasoning. So they were less about learning. They were more about reasoning. They were more about using logic to deduce the red ball, yellow ball, blue ball question.

So that was one branch of computer science and AI that went on during the years, predated my birth, but during the years of my formative years, without me knowing, I wasn't in there.

So that was one branch of computer science and AI that went on during the years, predated my birth, but during the years of my formative years, without me knowing, I wasn't in there.