00:12
Charlie Rose: So Larry sent me an email and he basically said, we've got to make sure that we don't seem like we're a couple of middle-aged boring men. I said, I'm flattered by that -- (Laughter) — because I'm a bit older, and he has a bit more net worth than I do.
00:39
Larry Page: Well, thank you.
00:41
CR: So we'll have a conversation about the Internet, and we'll have a conversation Google, and we'll have a conversation about search and privacy, and also about your philosophy and a sense of how you've connected the dots and how this journey that began some time ago has such interesting prospects. Mainly we want to talk about the future. So my first question: Where is Google and where is it going? LP: Well, this is something we think about a lot, and our mission we defined a long time ago is to organize the world's information and make it universally accessible and useful. And people always say, is that really what you guys are still doing? And I always kind of think about that myself, and I'm not quite sure. But actually, when I think about search, it's such a deep thing for all of us, to really understand what you want, to understand the world's information, and we're still very much in the early stages of that, which is totally crazy. We've been at it for 15 years already, but it's not at all done.
01:47
CR: When it's done, how will it be?
01:50
LP: Well, I guess, in thinking about where we're going -- you know, why is it not done? -- a lot of it is just computing's kind of a mess. You know, your computer doesn't know where you are, it doesn't know what you're doing, it doesn't know what you know, and a lot we've been trying to do recently is just make your devices work, make them understand your context. Google Now, you know, knows where you are, knows what you may need. So really having computing work and understand you and understand that information, we really haven't done that yet. It's still very, very clunky.
02:28
CR: Tell me, when you look at what Google is doing, where does Deep Mind fit?
02:33
LP: Yeah, so Deep Mind is a company we just acquired recently. It's in the U.K. First, let me tell you the way we got there, which was looking at search and really understanding, trying to understand everything, and also make the computers not clunky and really understand you -- like, voice was really important. So what's the state of the art on speech recognition? It's not very good. It doesn't really understand you. So we started doing machine learning research to improve that. That helped a lot. And we started just looking at things like YouTube. Can we understand YouTube? But we actually ran machine learning on YouTube and it discovered cats, just by itself. Now, that's an important concept. And we realized there's really something here. If we can learn what cats are, that must be really important. So I think Deep Mind, what's really amazing about Deep Mind is that it can actually -- they're learning things in this unsupervised way. They started with video games, and really just, maybe I can show the video, just playing video games, and learning how to do that automatically.
03:47
CR: Take a look at the video games and how machines are coming to be able to do some remarkable things.
03:54
LP: The amazing thing about this is this is, I mean, obviously, these are old games, but the system just sees what you see, the pixels, and it has the controls and it has the score, and it's learned to play all of these games, same program. It's learned to play all of these games with superhuman performance. We've not been able to do things like this with computers before. And maybe I'll just narrate this one quickly. This is boxing, and it figures out it can sort of pin the opponent down. The computer's on the left, and it's just racking up points. So imagine if this kind of intelligence were thrown at your schedule, or your information needs, or things like that. We're really just at the beginning of that, and that's what I'm really excited about.
04:43
CR: When you look at all that's taken place with Deep Mind and the boxing, also a part of where we're going is artificial intelligence. Where are we, when you look at that?
04:56
LP: Well, I think for me, this is kind of one of the most exciting things I've seen in a long time. The guy who started this company, Demis, has a neuroscience and a computer science background. He went back to school to get his Ph.D. to study the brain. And so I think we're seeing a lot of exciting work going on that sort of crosses computer science and neuroscience in terms of really understanding what it takes to make something smart and do really interesting things.
05:25
CR: But where's the level of it now? And how fast do you think we are moving?
05:30
LP: Well, this is the state of the art right now, understanding cats on YouTube and things like that, improving voice recognition. We used a lot of machine learning to improve things incrementally, but I think for me, this exa