Where’s Google going next?
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0:01 - 0:05Charlie Rose: So Larry sent me an email
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0:05 - 0:07and he basically said,
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0:07 - 0:11we've got to make sure that
we don't seem like we're -
0:11 - 0:15a couple of middle-aged boring men.
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0:15 - 0:18I said, I'm flattered by that --
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0:18 - 0:21(Laughter) —
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0:21 - 0:24because I'm a bit older,
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0:24 - 0:28and he has a bit more net worth than I do.
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0:28 - 0:31Larry Page: Well, thank you.
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0:31 - 0:34CR: So we'll have a conversation about
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0:34 - 0:37the Internet, and we'll have a conversation Google,
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0:37 - 0:38and we'll have a conversation about search
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0:38 - 0:39and privacy,
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0:39 - 0:41and also about your philosophy
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0:41 - 0:43and a sense of how you've connected the dots
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0:43 - 0:45and how this journey that began
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0:45 - 0:47some time ago
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0:47 - 0:49has such interesting prospects.
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0:49 - 0:51Mainly we want to talk about the future.
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0:51 - 0:53So my first question: Where is Google
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0:53 - 0:55and where is it going?
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0:55 - 0:56LP: Well, this is something we think about a lot,
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0:56 - 1:00and our mission we defined a long time ago
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1:00 - 1:02is to organize the world's information
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1:02 - 1:06and make it universally accessible and useful.
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1:06 - 1:08And people always say,
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1:08 - 1:10is that really what you guys are still doing?
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1:10 - 1:12And I always kind of think about that myself,
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1:12 - 1:14and I'm not quite sure.
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1:14 - 1:18But actually, when I think about search,
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1:18 - 1:21it's such a deep thing for all of us,
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1:21 - 1:23to really understand what you want,
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1:23 - 1:25to understand the world's information,
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1:25 - 1:29and we're still very much in the early stages of that,
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1:29 - 1:31which is totally crazy.
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1:31 - 1:33We've been at it for 15 years already,
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1:33 - 1:37but it's not at all done.
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1:37 - 1:40CR: When it's done, how will it be?
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1:40 - 1:42LP: Well, I guess,
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1:42 - 1:45in thinking about where we're going --
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1:45 - 1:47you know, why is it not done? --
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1:47 - 1:49a lot of it is just computing's kind of a mess.
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1:49 - 1:51You know, your computer
doesn't know where you are, -
1:51 - 1:53it doesn't know what you're doing,
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1:53 - 1:55it doesn't know what you know,
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1:55 - 1:57and a lot we've been trying to do recently
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1:57 - 2:01is just make your devices work,
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2:01 - 2:03make them understand your context.
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2:03 - 2:05Google Now, you know, knows where you are,
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2:05 - 2:07knows what you may need.
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2:07 - 2:11So really having computing
work and understand you -
2:11 - 2:13and understand that information,
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2:13 - 2:16we really haven't done that yet.
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2:16 - 2:17It's still very, very clunky.
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2:17 - 2:20CR: Tell me, when you look at what Google is doing,
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2:20 - 2:23where does Deep Mind fit?
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2:23 - 2:24LP: Yeah, so Deep Mind is a company
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2:24 - 2:27we just acquired recently.
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2:27 - 2:30It's in the U.K.
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2:30 - 2:33First, let me tell you the way we got there,
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2:33 - 2:35which was looking at search
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2:35 - 2:36and really understanding,
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2:36 - 2:39trying to understand everything,
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2:39 - 2:40and also make the computers not clunky
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2:40 - 2:42and really understand you --
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2:42 - 2:45like, voice was really important.
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2:45 - 2:47So what's the state of the art
on speech recognition? -
2:47 - 2:49It's not very good.
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2:49 - 2:51It doesn't really understand you.
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2:51 - 2:53So we started doing machine learning research
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2:53 - 2:55to improve that.
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2:55 - 2:56That helped a lot.
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2:56 - 2:59And we started just looking at things like YouTube.
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2:59 - 3:01Can we understand YouTube?
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3:01 - 3:03But we actually ran machine learning on YouTube
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3:03 - 3:07and it discovered cats, just by itself.
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3:07 - 3:10Now, that's an important concept.
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3:10 - 3:13And we realized there's really something here.
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3:13 - 3:15If we can learn what cats are,
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3:15 - 3:17that must be really important.
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3:17 - 3:19So I think Deep Mind,
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3:19 - 3:22what's really amazing about Deep Mind
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3:22 - 3:24is that it can actually --
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3:24 - 3:27they're learning things in this unsupervised way.
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3:27 - 3:30They started with video games,
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3:30 - 3:32and really just, maybe I can show the video,
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3:32 - 3:35just playing video games,
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3:35 - 3:37and learning how to do that automatically.
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3:37 - 3:38CR: Take a look at the video games
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3:38 - 3:41and how machines are coming to be able
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3:41 - 3:43to do some remarkable things.
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3:43 - 3:45LP: The amazing thing about this
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3:45 - 3:46is this is, I mean, obviously,
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3:46 - 3:48these are old games,
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3:48 - 3:53but the system just sees what you see, the pixels,
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3:53 - 3:55and it has the controls and it has the score,
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3:55 - 3:57and it's learned to play all of these games,
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3:57 - 3:59same program.
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3:59 - 4:01It's learned to play all of these games
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4:01 - 4:03with superhuman performance.
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4:03 - 4:04We've not been able to do things like this
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4:04 - 4:06with computers before.
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4:06 - 4:08And maybe I'll just narrate this one quickly.
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4:08 - 4:11This is boxing, and it figures out it can
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4:11 - 4:14sort of pin the opponent down.
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4:14 - 4:15The computer's on the left,
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4:15 - 4:19and it's just racking up points.
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4:19 - 4:21So imagine if this kind
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4:21 - 4:23of intelligence were thrown at your schedule,
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4:23 - 4:27or your information needs, or things like that.
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4:27 - 4:30We're really just at the beginning of that,
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4:30 - 4:32and that's what I'm really excited about.
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4:32 - 4:35CR: When you look at all that's taken place
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4:35 - 4:37with Deep Mind and the boxing,
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4:37 - 4:40also a part of where we're going
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4:40 - 4:43is artificial intelligence.
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4:43 - 4:45Where are we, when you look at that?
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4:45 - 4:47LP: Well, I think for me,
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4:47 - 4:49this is kind of one of the most exciting things
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4:49 - 4:51I've seen in a long time.
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4:51 - 4:53The guy who started this company, Demis,
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4:53 - 4:56has a neuroscience and a
computer science background. -
4:56 - 4:57He went back to school
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4:57 - 5:01to get his Ph.D. to study the brain.
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5:01 - 5:03And so I think we're seeing a lot of exciting work
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5:03 - 5:06going on that sort of crosses computer science
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5:06 - 5:08and neuroscience
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5:08 - 5:10in terms of really understanding
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5:10 - 5:13what it takes to make something smart
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5:13 - 5:15and do really interesting things.
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5:15 - 5:17CR: But where's the level of it now?
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5:17 - 5:19And how fast do you think we are moving?
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5:19 - 5:23LP: Well, this is the state of the art right now,
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5:23 - 5:25understanding cats on YouTube
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5:25 - 5:26and things like that,
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5:26 - 5:28improving voice recognition.
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5:28 - 5:31We used a lot of machine learning
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5:31 - 5:33to improve things incrementally,
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5:33 - 5:36but I think for me, this example's really exciting,
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5:36 - 5:39because it's one program
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5:39 - 5:41that can do a lot of different things.
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5:41 - 5:42CR: I don't know if we can do this,
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5:42 - 5:43but we've got the image of the cat.
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5:43 - 5:45It would be wonderful to see this.
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5:45 - 5:47This is how machines looked at cats
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5:47 - 5:48and what they came up with.
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5:48 - 5:50Can we see that image?
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5:50 - 5:52LP: Yeah.
CR: There it is. Can you see the cat? -
5:52 - 5:54Designed by machines, seen by machines.
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5:54 - 5:55LP: That's right.
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5:55 - 5:58So this is learned from just watching YouTube.
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5:58 - 6:00And there's no training,
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6:00 - 6:01no notion of a cat,
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6:01 - 6:03but this concept of a cat
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6:03 - 6:06is something important that you would understand,
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6:06 - 6:09and now that the machines can kind of understand.
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6:09 - 6:10Maybe just finishing
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6:10 - 6:12also on the search part,
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6:12 - 6:15it started with search, really understanding
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6:15 - 6:18people's context and their information.
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6:18 - 6:19I did have a video
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6:19 - 6:21I wanted to show quickly on that
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6:21 - 6:23that we actually found.
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6:23 - 6:28(Video) ["Soy, Kenya"]
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6:29 - 6:30Zack Matere: Not long ago,
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6:30 - 6:33I planted a crop of potatoes.
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6:33 - 6:36Then suddenly they started
dying one after the other. -
6:36 - 6:39I checked out the books and
they didn't tell me much. -
6:39 - 6:41So, I went and I did a search.
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6:41 - 6:44["Zack Matere, Farmer"]
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6:46 - 6:49Potato diseases.
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6:49 - 6:50One of the websites told me
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6:50 - 6:52that ants could be the problem.
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6:52 - 6:55It said, sprinkle wood ash over the plants.
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6:55 - 6:57Then after a few days the ants disappeared.
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6:57 - 7:00I got excited about the Internet.
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7:00 - 7:01I have this friend
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7:01 - 7:05who really would like to expand his business.
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7:05 - 7:08So I went with him to the cyber cafe
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7:08 - 7:11and we checked out several sites.
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7:11 - 7:13When I met him next, he was going to put a windmill
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7:13 - 7:16at the local school.
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7:16 - 7:17I felt proud because
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7:17 - 7:19something that wasn't there before
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7:19 - 7:21was suddenly there.
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7:21 - 7:24I realized that not everybody
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7:24 - 7:26can be able to access
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7:26 - 7:27what I was able to access.
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7:27 - 7:29I thought that I need to have an Internet
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7:29 - 7:31that my grandmother can use.
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7:31 - 7:33So I thought about a notice board.
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7:33 - 7:35A simple wooden notice board.
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7:35 - 7:37When I get information on my phone,
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7:37 - 7:40I'm able to post the information
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7:40 - 7:41on the notice board.
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7:41 - 7:44So it's basically like a computer.
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7:44 - 7:48I use the Internet to help people.
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7:48 - 7:51I think I am searching for
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7:51 - 7:53a better life
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7:53 - 7:57for me and my neighbors.
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7:57 - 8:01So many people have access to information,
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8:01 - 8:04but there's no follow-up to that.
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8:04 - 8:06I think the follow-up to that is our knowledge.
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8:06 - 8:08When people have the knowledge,
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8:08 - 8:09they can find solutions
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8:09 - 8:11without having to helped out.
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8:11 - 8:14Information is powerful,
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8:14 - 8:18but it is how we use it that will define us.
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8:18 - 8:23(Applause)
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8:23 - 8:25LP: Now, the amazing thing about that video,
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8:25 - 8:27actually, was we just read about it in the news,
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8:27 - 8:29and we found this gentlemen,
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8:29 - 8:31and made that little clip.
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8:31 - 8:33CR: When I talk to people about you,
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8:33 - 8:35they say to me, people who know you well, say,
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8:35 - 8:37Larry wants to change the world,
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8:37 - 8:41and he believes technology can show the way.
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8:41 - 8:43And that means access to the Internet.
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8:43 - 8:45It has to do with languages.
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8:45 - 8:48It also means how people can get access
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8:48 - 8:50and do things that will affect their community,
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8:50 - 8:53and this is an example.
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8:53 - 8:57LP: Yeah, that's right, and I think for me,
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8:57 - 8:59I have been focusing on access more,
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8:59 - 9:01if we're talking about the future.
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9:01 - 9:04We recently released this Loon Project
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9:04 - 9:06which is using balloons to do it.
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9:06 - 9:08It sounds totally crazy.
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9:08 - 9:10We can show the video here.
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9:10 - 9:12Actually, two out of three people in the world
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9:12 - 9:14don't have good Internet access now.
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9:14 - 9:17We actually think this can really help people
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9:17 - 9:19sort of cost-efficiently.
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9:19 - 9:23CR: It's a balloon.
LP: Yeah, get access to the Internet. -
9:23 - 9:25CR: And why does this balloon give you access
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9:25 - 9:26to the Internet?
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9:26 - 9:27Because there was some interesting things
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9:27 - 9:29you had to do to figure out how
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9:29 - 9:31to make balloons possible,
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9:31 - 9:33they didn't have to be tethered.
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9:33 - 9:35LP: Yeah, and this is a good example of innovation.
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9:35 - 9:37Like, we've been thinking about this idea
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9:37 - 9:39for five years or more
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9:39 - 9:41before we started working on it,
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9:41 - 9:42but it was just really,
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9:42 - 9:46how do we get access points up high, cheaply?
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9:46 - 9:47You normally have to use satellites
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9:47 - 9:50and it takes a long time to launch them.
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9:50 - 9:53But you saw there how easy it is to launch a balloon
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9:53 - 9:54and get it up,
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9:54 - 9:56and actually again, it's the power of the Internet,
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9:56 - 9:58I did a search on it,
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9:58 - 10:00and I found, 30, 40 years ago,
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10:00 - 10:02someone had put up a balloon
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10:02 - 10:05and it had gone around the Earth multiple times.
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10:05 - 10:08And I thought, why can't we do that today?
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10:08 - 10:10And that's how this project got going.
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10:10 - 10:13CR: But are you at the mercy of the wind?
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10:13 - 10:15LP: Yeah, but it turns out,
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10:15 - 10:16we did some weather simulations
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10:16 - 10:19which probably hadn't really been done before,
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10:19 - 10:21and if you control the altitude of the balloons,
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10:21 - 10:23which you can do by pumping air into them
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10:23 - 10:25and other ways,
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10:25 - 10:28you can actually control roughly where they go,
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10:28 - 10:30and so I think we can build a worldwide mesh
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10:30 - 10:34of these balloons that can cover the whole planet.
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10:34 - 10:36CR: Before I talk about the future and transportation,
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10:36 - 10:38where you've been a nerd for a while,
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10:38 - 10:40and this fascination you have with transportation
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10:40 - 10:42and automated cars and bicycles,
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10:42 - 10:44let me talk a bit about what's been the subject here
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10:44 - 10:46earlier with Edward Snowden.
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10:46 - 10:49It is security and privacy.
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10:49 - 10:52You have to have been thinking about that.
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10:52 - 10:53LP: Yeah, absolutely.
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10:53 - 10:56I saw the picture of Sergey with
Edward Snowden yesterday. -
10:56 - 10:59Some of you may have seen it.
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10:59 - 11:02But I think, for me, I guess,
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11:02 - 11:06privacy and security are a really important thing.
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11:06 - 11:08We think about it in terms of both things,
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11:08 - 11:11and I think you can't have privacy without security,
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11:11 - 11:13so let me just talk about security first,
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11:13 - 11:16because you asked about Snowden and all of that,
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11:16 - 11:18and then I'll say a little bit about privacy.
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11:18 - 11:22I think for me, it's tremendously disappointing
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11:22 - 11:23that the government
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11:23 - 11:26secretly did all this stuff and didn't tell us.
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11:26 - 11:29I don't think we can have a democracy
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11:29 - 11:33if we're having to protect you and our users
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11:33 - 11:34from the government
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11:34 - 11:37for stuff that we've never had a conversation about.
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11:37 - 11:39And I don't mean we have to know
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11:39 - 11:41what the particular terrorist attack is they're worried
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11:41 - 11:42about protecting us from,
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11:42 - 11:44but we do need to know
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11:44 - 11:47what the parameters of it is,
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11:47 - 11:49what kind of surveillance the government's
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11:49 - 11:51going to do and how and why,
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11:51 - 11:53and I think we haven't had that conversation.
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11:53 - 11:56So I think the government's actually done
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11:56 - 11:58itself a tremendous disservice
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11:58 - 12:00by doing all that in secret.
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12:00 - 12:02CR: Never coming to Google
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12:02 - 12:03to ask for anything.
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12:03 - 12:05LP: Not Google, but the public.
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12:05 - 12:09I think we need to
have a debate about that, -
12:09 - 12:11or we can't have a functioning democracy.
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12:11 - 12:13It's just not possible.
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12:13 - 12:15So I'm sad that Google's
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12:15 - 12:18in the position of protecting you and our users
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12:18 - 12:19from the government
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12:19 - 12:21doing secret thing that nobody knows about.
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12:21 - 12:23It doesn't make any sense.
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12:23 - 12:26CR: Yeah. And then there's a privacy side of it.
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12:26 - 12:29LP: Yes. The privacy side,
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12:29 - 12:31I think it's -- the world is changing.
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12:31 - 12:35You carry a phone. It knows where you are.
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12:35 - 12:38There's so much more information about you,
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12:38 - 12:40and that's an important thing,
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12:40 - 12:43and it makes sense why people are asking
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12:43 - 12:45difficult questions.
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12:45 - 12:48We spend a lot of time thinking about this
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12:48 - 12:51and what the issues are.
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12:51 - 12:53I'm a little bit --
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12:53 - 12:54I think the main thing that we need to do
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12:54 - 12:56is just provide people choice,
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12:56 - 12:59show them what data's being collected --
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12:59 - 13:03search history, location data.
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13:03 - 13:06We're excited about incognito mode in Chrome,
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13:06 - 13:08and doing that in more ways,
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13:08 - 13:10just giving people more choice
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13:10 - 13:13and more awareness of what's going on.
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13:13 - 13:16I also think it's very easy.
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13:16 - 13:17What I'm worried is that we throw out
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13:17 - 13:19the baby with the bathwater.
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13:19 - 13:22And I look at, on your show, actually,
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13:22 - 13:24I kind of lost my voice,
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13:24 - 13:25and I haven't gotten it back.
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13:25 - 13:27I'm hoping that by talking to you
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13:27 - 13:28I'm going to get it back.
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13:28 - 13:30CR: If I could do anything, I would do that.
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13:30 - 13:32LP: All right. So get out your voodoo doll
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13:32 - 13:35and whatever you need to do.
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13:35 - 13:37But I think, you know what, I look at that,
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13:37 - 13:39I made that public,
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13:39 - 13:40and I got all this information.
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13:40 - 13:43We got a survey done on medical conditions
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13:43 - 13:46with people who have similar issues,
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13:46 - 13:51and I look at medical records, and I say,
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13:51 - 13:52wouldn't it be amazing
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13:52 - 13:54if everyone's medical records were available
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13:54 - 13:56anonymously
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13:56 - 13:59to research doctors?
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13:59 - 14:02And when someone accesses your medical record,
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14:02 - 14:03a research doctor,
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14:03 - 14:06they could see, you could see which doctor
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14:06 - 14:08accessed it and why,
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14:08 - 14:09and you could maybe learn about
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14:09 - 14:11what conditions you have.
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14:11 - 14:12I think if we just did that,
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14:12 - 14:15we'd save 100,000 lives this year.
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14:15 - 14:17CR: Absolutely. Let me go — (Applause)
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14:17 - 14:20LP: So I guess I'm just very worried that
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14:20 - 14:22with Internet privacy,
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14:22 - 14:24we're doing the same thing we're
doing with medical records, -
14:24 - 14:27is we're throwing out the baby with the bathwater,
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14:27 - 14:29and we're not really thinking
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14:29 - 14:31about the tremendous good that can come
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14:31 - 14:33from people sharing information
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14:33 - 14:36with the right people in the right ways.
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14:36 - 14:38CR: And the necessary condition
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14:38 - 14:40that people have to have confidence
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14:40 - 14:42that their information will not be abused.
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14:42 - 14:44LP: Yeah, and I had this problem with my voice stuff.
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14:44 - 14:45I was scared to share it.
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14:45 - 14:47Sergey encouraged me to do that,
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14:47 - 14:49and it was a great thing to do.
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14:49 - 14:51CR: And the response has been overwhelming.
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14:51 - 14:52LP: Yeah, and people are super positive.
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14:52 - 14:55We got thousands and thousands of people
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14:55 - 14:57with similar conditions,
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14:57 - 15:00which there's no data on today.
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15:00 - 15:01So it was a really good thing.
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15:01 - 15:04CR: So talking about the future, what is it about you
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15:04 - 15:08and transportation systems?
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15:08 - 15:10LP: Yeah. I guess I was just frustrated
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15:10 - 15:12with this when I was at college in Michigan.
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15:12 - 15:14I had to get on the bus and take it
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15:14 - 15:16and wait for it.
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15:16 - 15:18And it was cold and snowing.
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15:18 - 15:20I did some research on how much it cost,
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15:20 - 15:27and I just became a bit obsessed
with transportation systems. -
15:27 - 15:29CR: And that began the idea of an automated car.
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15:29 - 15:31LP: Yeah, about 18 years ago I learned about
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15:31 - 15:34people working on automated cars,
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15:34 - 15:36and I became fascinated by that,
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15:36 - 15:38and it takes a while to
get these projects going, -
15:38 - 15:44but I'm super excited about the possibilities of that
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15:44 - 15:45improving the world.
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15:45 - 15:50There's 20 million people or more injured per year.
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15:50 - 15:52It's the leading cause of death
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15:52 - 15:54for people under 34 in the U.S.
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15:54 - 15:55CR: So you're talking about saving lives.
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15:55 - 15:58LP: Yeah, and also saving space
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15:58 - 16:02and making life better.
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16:02 - 16:06Los Angeles is half parking lots and roads,
-
16:06 - 16:08half of the area,
-
16:08 - 16:10and most cities are not far behind, actually.
-
16:10 - 16:12It's just crazy
-
16:12 - 16:14that that's what we use our space for.
-
16:14 - 16:16CR: And how soon will we be there?
-
16:16 - 16:18LP: I think we can be there very, very soon.
-
16:18 - 16:21We've driven well over 100,000 miles
-
16:21 - 16:26now totally automated.
-
16:26 - 16:29I'm super excited about getting that out quickly.
-
16:29 - 16:32CR: But it's not only you're
talking about automated cars. -
16:32 - 16:34You also have this idea for bicycles.
-
16:34 - 16:36LP: Well at Google, we got this idea
-
16:36 - 16:40that we should just provide free bikes to everyone,
-
16:40 - 16:42and that's been amazing, most of the trips.
-
16:42 - 16:44You see bikes going everywhere,
-
16:44 - 16:46and the bikes wear out.
-
16:46 - 16:47They're getting used 24 hours a day.
-
16:47 - 16:49CR: But you want to put them above the street, too.
-
16:49 - 16:51LP: Well I said, how do we get people
-
16:51 - 16:52using bikes more?
-
16:52 - 16:54CR: We may have a video here.
-
16:54 - 16:55LP: Yeah, let's show the video.
-
16:55 - 16:58I just got excited about this.
-
16:58 - 17:02(Music)
-
17:04 - 17:07So this is actually how you might separate
-
17:07 - 17:10bikes from cars with minimal cost.
-
17:15 - 17:16Anyway, it looks totally crazy,
-
17:16 - 17:19but I was actually thinking about our campus,
-
17:19 - 17:21working with the Zippies and stuff,
-
17:21 - 17:23and just trying to get a lot more bike usage,
-
17:23 - 17:25and I was thinking about,
-
17:25 - 17:28how do you cost-effectively separate
-
17:28 - 17:29the bikes from traffic?
-
17:29 - 17:30And I went and searched,
-
17:30 - 17:31and this is what I found.
-
17:31 - 17:33And we're not actually working on this,
-
17:33 - 17:35that particular thing,
-
17:35 - 17:37but it gets your imagination going.
-
17:37 - 17:38CR: Let me close with this.
-
17:38 - 17:41Give me a sense of the philosophy
of your own mind. -
17:41 - 17:43You have this idea of [Google X].
-
17:43 - 17:46You don't simply want
-
17:46 - 17:52to go in some small, measurable arena of progress.
-
17:52 - 17:54LP: Yeah, I think
-
17:54 - 17:56many of the things we just
talked about are like that, -
17:56 - 17:59where they're really --
-
17:59 - 18:02I almost use the economic concept of additionality,
-
18:02 - 18:04which means that you're doing something
-
18:04 - 18:07that wouldn't happen unless
you were actually doing it. -
18:07 - 18:11And I think the more you can do things like that,
-
18:11 - 18:13the bigger impact you have,
-
18:13 - 18:16and that's about doing things
-
18:16 - 18:19that people might not think are possible.
-
18:19 - 18:21And I've been amazed,
-
18:21 - 18:23the more I learn about technology,
-
18:23 - 18:25the more I realize I don't know,
-
18:25 - 18:29and that's because this technological horizon,
-
18:29 - 18:32the thing that you can see to do next,
-
18:32 - 18:34the more you learn about technology,
-
18:34 - 18:36the more you learn what's possible.
-
18:36 - 18:38You learn that the balloons are possible
-
18:38 - 18:41because there's some material
that will work for them. -
18:41 - 18:43CR: What's interesting about
you too, though, for me, -
18:43 - 18:45is that, we have lots of people
-
18:45 - 18:47who are thinking about the future,
-
18:47 - 18:50and they are going and looking
and they're coming back, -
18:50 - 18:52but we never see the implementation.
-
18:52 - 18:54I think of somebody you knew
-
18:54 - 18:57and read about, Tesla.
-
18:57 - 19:01The principle of that for you is what?
-
19:01 - 19:02LP: Well, I think invention is not enough.
-
19:02 - 19:04If you invent something,
-
19:04 - 19:07Tesla invented electric power that we use,
-
19:07 - 19:10but he struggled to get it out to people.
-
19:10 - 19:11That had to be done by other people.
-
19:11 - 19:13It took a long time.
-
19:13 - 19:17And I think if we can actually combine both things,
-
19:17 - 19:20where we have an innovation and invention focus,
-
19:20 - 19:23plus the ability to really -- a company
-
19:23 - 19:25that can really commercialize things
-
19:25 - 19:27and get them to people
-
19:27 - 19:29in a way that's positive for the world
-
19:29 - 19:31and to give people hope.
-
19:31 - 19:34You know, I'm amazed with the Loon Project
-
19:34 - 19:37just how excited people were about that,
-
19:37 - 19:38because it gave them hope
-
19:38 - 19:40for the two thirds of the world
-
19:40 - 19:43that doesn't have Internet right now that's any good.
-
19:43 - 19:45CR: Which is a second thing about corporations.
-
19:45 - 19:47You are one of those people who believe
-
19:47 - 19:50that corporations are an agent of change
-
19:50 - 19:51if they are run well.
-
19:51 - 19:53LP: Yeah. I'm really dismayed
-
19:53 - 19:56most people think companies are basically evil.
-
19:56 - 19:58They get a bad rap.
-
19:58 - 20:00And I think that's somewhat correct.
-
20:00 - 20:03Companies are doing the same incremental thing
-
20:03 - 20:05that they did 50 years ago
-
20:05 - 20:06or 20 years ago.
-
20:06 - 20:08That's not really what we need.
-
20:08 - 20:10We need, especially in technology,
-
20:10 - 20:12we need revolutionary change,
-
20:12 - 20:14not incremental change.
-
20:14 - 20:15CR: You once said, actually,
-
20:15 - 20:17as I think I've got this about right,
-
20:17 - 20:18that you might consider,
-
20:18 - 20:20rather than giving your money,
-
20:20 - 20:23if you were leaving it to some cause,
-
20:23 - 20:25just simply giving it to Elon Musk,
-
20:25 - 20:26because you had confidence
-
20:26 - 20:28that he would change the future,
-
20:28 - 20:30and that you would therefore —
-
20:30 - 20:32LP: Yeah, if you want to go Mars,
-
20:32 - 20:33he wants to go to Mars,
-
20:33 - 20:35to back up humanity,
-
20:35 - 20:37that's a worthy goal, but it's a company,
-
20:37 - 20:40and it's philanthropical.
-
20:40 - 20:43So I think we aim to do kind of similar things.
-
20:43 - 20:46And I think, you ask, we have a lot of employees
-
20:46 - 20:49at Google who have become pretty wealthy.
-
20:49 - 20:51People make a lot of money in technology.
-
20:51 - 20:54A lot of people in the room are pretty wealthy.
-
20:54 - 20:56You're working because you
want to change the world. -
20:56 - 20:58You want to make it better.
-
20:58 - 21:01Why isn't the company that you work for
-
21:01 - 21:03worthy not just of your time
-
21:03 - 21:05but your money as well?
-
21:05 - 21:07I mean, but we don't have a concept of that.
-
21:07 - 21:09That's not how we think about companies,
-
21:09 - 21:11and I think it's sad,
-
21:11 - 21:14because companies are most of our effort.
-
21:14 - 21:17They're where most of people's time is,
-
21:17 - 21:19where a lot of the money is,
-
21:19 - 21:21and so I think I'd like for us to help out
-
21:21 - 21:22more than we are.
-
21:22 - 21:24CR: When I close conversations with lots of people,
-
21:24 - 21:26I always ask this question:
-
21:26 - 21:27What state of mind,
-
21:27 - 21:29what quality of mind is it
-
21:29 - 21:31that has served you best?
-
21:31 - 21:33People like Rupert Murdoch have said curiosity,
-
21:33 - 21:36and other people in the media have said that.
-
21:36 - 21:39Bill Gates and Warren Buffett have said focus.
-
21:39 - 21:40What quality of mind,
-
21:40 - 21:42as I leave this audience,
-
21:42 - 21:45has enabled you to think about the future
-
21:45 - 21:47and at the same time
-
21:47 - 21:49change the present?
-
21:49 - 21:51LP: You know, I think the most important thing --
-
21:51 - 21:52I looked at lots of companies
-
21:52 - 21:56and why I thought they don't succeed over time.
-
21:56 - 21:59We've had a more rapid turnover of companies.
-
21:59 - 22:01And I said, what did they fundamentally do wrong?
-
22:01 - 22:04What did those companies all do wrong?
-
22:04 - 22:07And usually it's just that they missed the future.
-
22:07 - 22:09And so I think, for me,
-
22:09 - 22:12I just try to focus on that and say,
-
22:12 - 22:14what is that future really going to be
-
22:14 - 22:16and how do we create it,
-
22:16 - 22:20and how do we cause our organization,
-
22:20 - 22:23to really focus on that
-
22:23 - 22:26and drive that at a really high rate?
-
22:26 - 22:27And so that's been curiosity,
-
22:27 - 22:29it's been looking at things
-
22:29 - 22:31people might not think about,
-
22:31 - 22:34working on things that no one else is working on,
-
22:34 - 22:37because that's where the additionality really is,
-
22:37 - 22:39and be willing to do that,
-
22:39 - 22:40to take that risk.
-
22:40 - 22:41Look at Android.
-
22:41 - 22:44I felt guilty about working on Android
-
22:44 - 22:45when it was starting.
-
22:45 - 22:47It was a little startup we bought.
-
22:47 - 22:50It wasn't really what we were really working on.
-
22:50 - 22:53And I felt guilty about spending time on that.
-
22:53 - 22:54That was stupid.
-
22:54 - 22:55That was the future, right?
-
22:55 - 22:57That was a good thing to be working on.
-
22:57 - 22:59CR: It is great to see you here.
-
22:59 - 23:00It's great to hear from you,
-
23:00 - 23:02and a pleasure to sit at this table with you.
-
23:02 - 23:03Thanks, Larry.
-
23:03 - 23:06LP: Thank you.
-
23:06 - 23:09(Applause)
-
23:09 - 23:13CR: Larry Page.
- Title:
- Where’s Google going next?
- Speaker:
- Charlie Rose and Larry Page
- Description:
-
Onstage at TED2014, Charlie Rose interviews Google CEO Larry Page about his far-off vision for the company. It includes aerial bikeways and internet balloons … and then it gets even more interesting, as Page talks through the company’s recent acquisition of Deep Mind, an AI that is learning some surprising things.
- Video Language:
- English
- Team:
- closed TED
- Project:
- TEDTalks
- Duration:
- 23:30
Morton Bast edited English subtitles for Where's Google going next? | ||
Tracey J. Evans commented on English subtitles for Where's Google going next? | ||
Yasushi Aoki commented on English subtitles for Where's Google going next? | ||
Ian Beauregard commented on English subtitles for Where's Google going next? | ||
Morton Bast edited English subtitles for Where's Google going next? | ||
Morton Bast approved English subtitles for Where's Google going next? | ||
Morton Bast edited English subtitles for Where's Google going next? | ||
Morton Bast edited English subtitles for Where's Google going next? |
Ian Beauregard
The name of the company is "DeepMind", not "Deep Mind".
http://en.wikipedia.org/wiki/DeepMind_Technologies
I think this should be changed in the description and in the subtitles.
Thanks!
Yasushi Aoki
Corrections:
the Internet, and we'll have a conversation Google,
the Internet, and we'll have a conversation about Google,
and a sense of how you've connected the dots
in the sense of how you've connected the dots
Tracey J. Evans
Correction:
00:17:18,793 --> 00:17:20,853
working with the cities and stuff,
shoud be
00:17:18,793 --> 00:17:20,853
working with the Zippies and stuff,
Zippie is the nickname of the new automated Google car. See: http://inhabitat.com/nyc/google-signs-agreement-with-nyc-mayor-to-replace-nyc-taxis-with-driverless-google-cabs/
Cheers!