Reid Hoffman
👤 PersonAppearances Over Time
Podcast Appearances
And go a little bit into the deep learning, which obviously is part of the reason why DeepMind was name-boarded is because part of, I think, that what would seem to be completely contrarian hypothesis that you guys played out with self-play and kind of learning system was that this learning approach was the right way to generate these significant systems.
And go a little bit into the deep learning, which obviously is part of the reason why DeepMind was name-boarded is because part of, I think, that what would seem to be completely contrarian hypothesis that you guys played out with self-play and kind of learning system was that this learning approach was the right way to generate these significant systems.
So say a little bit about having the hypothesis, what the trek through the desert looked like, and then what finding the Nile ended up with.
So say a little bit about having the hypothesis, what the trek through the desert looked like, and then what finding the Nile ended up with.
So say a little bit about having the hypothesis, what the trek through the desert looked like, and then what finding the Nile ended up with.
I could easily hog the entire interview, so I'm trying not to. So one of the things that the learning system obviously ended up creating was solving what was previously considered an insoluble problem. There were even people who thought that computers couldn't, like classical computational techniques couldn't solve Go, and it did.
I could easily hog the entire interview, so I'm trying not to. So one of the things that the learning system obviously ended up creating was solving what was previously considered an insoluble problem. There were even people who thought that computers couldn't, like classical computational techniques couldn't solve Go, and it did.
I could easily hog the entire interview, so I'm trying not to. So one of the things that the learning system obviously ended up creating was solving what was previously considered an insoluble problem. There were even people who thought that computers couldn't, like classical computational techniques couldn't solve Go, and it did.
But not only did it solve Go, but in the classic Move 37, it demonstrated originality, creativity that was beyond the thousands of years of Go play and books and the hundreds of years of very serious play. What was that moment of Move 37 like for understanding where AI is? And what do you think the next Move 37 is?
But not only did it solve Go, but in the classic Move 37, it demonstrated originality, creativity that was beyond the thousands of years of Go play and books and the hundreds of years of very serious play. What was that moment of Move 37 like for understanding where AI is? And what do you think the next Move 37 is?
But not only did it solve Go, but in the classic Move 37, it demonstrated originality, creativity that was beyond the thousands of years of Go play and books and the hundreds of years of very serious play. What was that moment of Move 37 like for understanding where AI is? And what do you think the next Move 37 is?
And, you know, that I think is a awesome rendition of kind of why it is these learning systems are, you know, even now doing original discovery. What do you think the next, you know, move 37 might be for kind of opening our minds to what is the way that AI can add a whole lot to the kind of quality of human thought, human existence, human science?
And, you know, that I think is a awesome rendition of kind of why it is these learning systems are, you know, even now doing original discovery. What do you think the next, you know, move 37 might be for kind of opening our minds to what is the way that AI can add a whole lot to the kind of quality of human thought, human existence, human science?
And, you know, that I think is a awesome rendition of kind of why it is these learning systems are, you know, even now doing original discovery. What do you think the next, you know, move 37 might be for kind of opening our minds to what is the way that AI can add a whole lot to the kind of quality of human thought, human existence, human science?
And part of the game side of this is, I presume you've heard that there's this kind of theory of homo ludens. Yes. That, you know, we're game players. Is that informing the kind of thinking about how, you know, games is both strategic, but also, you know, kind of framing for like science acceleration, framing for, you know, kind of the serendipity of innovation, right?
And part of the game side of this is, I presume you've heard that there's this kind of theory of homo ludens. Yes. That, you know, we're game players. Is that informing the kind of thinking about how, you know, games is both strategic, but also, you know, kind of framing for like science acceleration, framing for, you know, kind of the serendipity of innovation, right?
And part of the game side of this is, I presume you've heard that there's this kind of theory of homo ludens. Yes. That, you know, we're game players. Is that informing the kind of thinking about how, you know, games is both strategic, but also, you know, kind of framing for like science acceleration, framing for, you know, kind of the serendipity of innovation, right?
is in addition to the kind of the fitness function, the kind of evolution of self-play, the ability to play, scale, compute, are there other deeper elements to the game-playing nature that allows this thinking of thinking?
is in addition to the kind of the fitness function, the kind of evolution of self-play, the ability to play, scale, compute, are there other deeper elements to the game-playing nature that allows this thinking of thinking?
is in addition to the kind of the fitness function, the kind of evolution of self-play, the ability to play, scale, compute, are there other deeper elements to the game-playing nature that allows this thinking of thinking?