请双击下面的英文字幕来播放视频。
翻译人员: Xiaoou Chen
校对人员: Tian Ye
00:13
Charlie Rose: So Larry sent me an email
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查理·罗斯:拉里给我发了一封邮件,
00:17
and he basically said,
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基本上他就是说,
00:18
we've got to make sure that
we don't seem like we're
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我们得确保我们看起来不能像
00:22
a couple of middle-aged boring men.
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两个乏味的中年人。
00:27
I said, I'm flattered by that --
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我回他说,你这么讲我深感荣幸--
00:30
(Laughter) —
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(笑声)--
00:32
because I'm a bit older,
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因为我年纪大一点,
00:36
and he has a bit more net worth than I do.
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而他的净资产又比我多一点。
00:40
Larry Page: Well, thank you.
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拉里·佩奇:呵呵,谢谢。
00:42
CR: So we'll have a conversation about
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查理·罗斯:我们将要谈谈互联网,
00:45
the Internet, and we'll have a conversation Google,
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我们还会谈谈Google,
00:48
and we'll have a conversation about search
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以及搜索
00:50
and privacy,
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和隐私,
00:51
and also about your philosophy
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还有你思考的基本原则,
00:52
and a sense of how you've connected the dots
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以及你是如何把这些点点滴滴联接起来的,
00:55
and how this journey that began
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以及多年前开始的
00:57
some time ago
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这个发展历程,
00:58
has such interesting prospects.
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具有怎样的有趣前景。
01:00
Mainly we want to talk about the future.
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我们主要来讨论一下未来。
01:03
So my first question: Where is Google
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那我的第一个问题是:Google现在何处,
01:04
and where is it going?
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它要前往何方?
01:06
LP: Well, this is something we think about a lot,
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拉里·佩奇:好的,这个问题我们思考过很多,
01:08
and our mission we defined a long time ago
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我们很早以前所定下的使命
01:11
is to organize the world's information
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就是将全世界的信息组织起来
01:14
and make it universally accessible and useful.
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让全世界的人们可以获得它并且从中受益。
01:17
And people always say,
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人们总在说,
01:19
is that really what you guys are still doing?
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你们还在做这个的事情呀?
01:21
And I always kind of think about that myself,
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我自己也算是常常思考这个问题,
01:23
and I'm not quite sure.
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我还不是很确定。
01:26
But actually, when I think about search,
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但事实上,当我思考搜索时,
01:30
it's such a deep thing for all of us,
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它对我们所有人来说是个深刻的问题,
01:32
to really understand what you want,
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要真正理解你想要的是什么,
01:35
to understand the world's information,
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要理解这个世界的信息,
01:37
and we're still very much in the early stages of that,
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我们还处于非常早期的阶段,
01:40
which is totally crazy.
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这太让人着急了。
01:42
We've been at it for 15 years already,
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我们在这个领域里已有十五年,
01:45
but it's not at all done.
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但是离实现它还差得很远。
01:48
CR: When it's done, how will it be?
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查理·罗斯:当你们实现时,它会是什么样?
01:51
LP: Well, I guess,
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拉里·佩奇:我猜,
01:54
in thinking about where we're going --
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想想我们的前进方向--
01:56
you know, why is it not done? --
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你知道,为什么还没有完成?--
01:58
a lot of it is just computing's kind of a mess.
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很大程度是因为数据计算还是一团乱麻。
02:01
You know, your computer
doesn't know where you are,
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你知道,你的电脑并不知道你在哪里,
02:03
it doesn't know what you're doing,
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它不知道你在做什么,
02:05
it doesn't know what you know,
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它不知道你知道什么。
02:06
and a lot we've been trying to do recently
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而且近来花费了我们很大精力的事情,
02:09
is just make your devices work,
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仅仅是让你的设备工作起来,
02:12
make them understand your context.
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让它理解你的大致意图。
02:15
Google Now, you know, knows where you are,
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Google Now(一款个人助理软件)知道你人在哪里,
02:17
knows what you may need.
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知道你可能需要什么。
02:19
So really having computing
work and understand you
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所以让计算机真正地工作起来,理解你
02:23
and understand that information,
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并且理解这些信息,
02:25
we really haven't done that yet.
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我们真的还没有做到那一步。
02:27
It's still very, very clunky.
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它还是非常非常的不成熟。
02:29
CR: Tell me, when you look at what Google is doing,
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查理·罗斯:你讲一讲,当你看着谷歌正在做的工作,
02:31
where does Deep Mind fit?
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DeepMind应该处于什么位置?
02:34
LP: Yeah, so Deep Mind is a company
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拉里·佩奇:DeepMind 这家公司,
02:36
we just acquired recently.
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我们最近才整合进来。
02:38
It's in the U.K.
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它在英国。
02:41
First, let me tell you the way we got there,
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首先,我来讲一下我们当时的状况,
02:44
which was looking at search
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就是我们正在关注搜索,
02:46
and really understanding,
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真正地理解,
02:48
trying to understand everything,
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试图理解所有一切,
02:50
and also make the computers not clunky
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让电脑不那么不成熟,
02:52
and really understand you --
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并且真正地理解你--
02:54
like, voice was really important.
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比如,声音非常重要。
02:56
So what's the state of the art
on speech recognition?
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那么,语音识别技术的最高水平是怎样的?
02:59
It's not very good.
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它不是很好,
03:01
It doesn't really understand you.
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它并不能真正地理解你。
03:03
So we started doing machine learning research
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于是我们开展了机器学习方面的研究,
03:05
to improve that.
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来改进它,
03:06
That helped a lot.
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结果成效很大。
03:08
And we started just looking at things like YouTube.
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然后我们开始转向YouTube之类的东西。
03:10
Can we understand YouTube?
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我们可以理解YouTube吗?
03:12
But we actually ran machine learning on YouTube
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但是我们确实在Youtube上运行机器学习,
03:15
and it discovered cats, just by itself.
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它找到了猫,完全靠自己。
03:19
Now, that's an important concept.
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现在,这就是一个重要的概念。
03:21
And we realized there's really something here.
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我们就意识到,其中有些深义。
03:24
If we can learn what cats are,
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如果我们能学习什么是猫,
03:26
that must be really important.
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那一定是非常重要的。
03:28
So I think Deep Mind,
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所以我认为DeepMind,
03:31
what's really amazing about Deep Mind
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它的真正神奇之处
03:33
is that it can actually --
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在于它真的可以 --
03:35
they're learning things in this unsupervised way.
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可以自主学习,无需人的干预。
03:39
They started with video games,
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他们从视频游戏开始,
03:41
and really just, maybe I can show the video,
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真的只是,也许我可以展示一下那个视频,
03:44
just playing video games,
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只是玩视频游戏,
03:46
and learning how to do that automatically.
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并且学习怎样自动地玩。
03:48
CR: Take a look at the video games
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查理·罗斯:来看一下视频游戏,
03:50
and how machines are coming to be able
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机器是如何开始有能力
03:52
to do some remarkable things.
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做一些惊人的事情。
03:55
LP: The amazing thing about this
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拉里·佩奇:这件事的惊人之处在于,
03:56
is this is, I mean, obviously,
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我觉得很明显,
03:58
these are old games,
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这些都是老游戏,
03:59
but the system just sees what you see, the pixels,
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但是系统和你看到的完全一样,就是像素,
04:04
and it has the controls and it has the score,
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并且它能控制,能得分,
04:06
and it's learned to play all of these games,
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还有它学会了所有这些游戏,
04:09
same program.
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同一个程序。
04:10
It's learned to play all of these games
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它学会了所有这些游戏,
04:12
with superhuman performance.
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而且表现是超人级的。
04:14
We've not been able to do things like this
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在以前用电脑是做不到这样的事情的。
04:16
with computers before.
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在以前用电脑是做不到这样的事情的。
04:17
And maybe I'll just narrate this one quickly.
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我要简单说明一下,
04:20
This is boxing, and it figures out it can
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这是拳击游戏,系统计算出它可以
04:23
sort of pin the opponent down.
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将对手击败。
04:25
The computer's on the left,
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左边的是电脑,
04:27
and it's just racking up points.
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它就是要赢得高分。
04:30
So imagine if this kind
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所以设想一下,如果这样的
04:32
of intelligence were thrown at your schedule,
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智能可以应用在你的日程中,
04:34
or your information needs, or things like that.
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或是用来解决你的信息需求,或是类似的事情。
04:39
We're really just at the beginning of that,
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机器学习其实还只在起步阶段,
04:41
and that's what I'm really excited about.
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而它让我感到无比激动。
04:44
CR: When you look at all that's taken place
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查理·罗斯:当你看到DeepMind和拳击游戏
04:46
with Deep Mind and the boxing,
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上所发生的这一切,
04:49
also a part of where we're going
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并且人工智能
04:51
is artificial intelligence.
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也是我们前进的方向之一。
04:54
Where are we, when you look at that?
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你从这些能看到,我们走到哪一步了呢?
04:57
LP: Well, I think for me,
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拉里·佩奇:我认为对于我来说,
04:59
this is kind of one of the most exciting things
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这是我看到的最令人激动的事情之一,
05:00
I've seen in a long time.
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在很长时间以来。
05:02
The guy who started this company, Demis,
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创立这家公司的戴米斯
05:05
has a neuroscience and a
computer science background.
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拥有神经学和计算机科学的背景。
05:07
He went back to school
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他重返校园攻读博士学位,
05:09
to get his Ph.D. to study the brain.
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课题是研究大脑。
05:12
And so I think we're seeing a lot of exciting work
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所以,我觉得我们看到了许多令人激动的成果,
05:15
going on that sort of crosses computer science
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出现在神经学与计算机科学交叉的领域。
05:18
and neuroscience
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出现在神经学与计算机科学交叉的领域。
05:20
in terms of really understanding
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这些成果有关于真正去理解
05:22
what it takes to make something smart
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要怎样才能制造出智能机器,
05:24
and do really interesting things.
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然后做一些非常有趣的事情。
05:26
CR: But where's the level of it now?
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查理·罗斯:我们现在处于什么阶段呢?
05:28
And how fast do you think we are moving?
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你觉得我们的前进速度如何?
05:31
LP: Well, this is the state of the art right now,
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拉里·佩奇:这是当前达到的最高水平,
05:34
understanding cats on YouTube
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理解Youtube上的猫
05:36
and things like that,
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还有类似的事情,
05:38
improving voice recognition.
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改进语音识别技术。
05:40
We used a lot of machine learning
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我们使用了许多机器学习
05:42
to improve things incrementally,
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来逐步改进各种问题,
05:45
but I think for me, this example's really exciting,
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但我个人认为,这个例子真的非常令人激动,
05:48
because it's one program
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因为它只是一款程序
05:50
that can do a lot of different things.
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却可以做许多不同事情。
05:52
CR: I don't know if we can do this,
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查理·罗斯:我不知道这样做可不可以,
05:53
but we've got the image of the cat.
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我这儿有一张猫的图片,
05:55
It would be wonderful to see this.
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这张图意义非凡。
05:56
This is how machines looked at cats
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这就是机器如何看着猫,
05:59
and what they came up with.
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然后它们反映出来的形象。
06:00
Can we see that image?
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我们可以看下那张图片吗?
06:01
LP: Yeah.
CR: There it is. Can you see the cat?
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拉里·佩奇:好的。
查理·罗斯:这就是了。你能看到猫吗?
06:03
Designed by machines, seen by machines.
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机器设计了它,然后看到了它。
06:05
LP: That's right.
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拉里·佩奇:是的。
06:07
So this is learned from just watching YouTube.
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这是仅仅通过观看Youtube学到的。
06:09
And there's no training,
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没有训练过,
06:11
no notion of a cat,
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事先没有猫的概念,
06:12
but this concept of a cat
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但是这个猫的概念挺重要的,
06:15
is something important that you would understand,
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我们都知道,
06:18
and now that the machines can kind of understand.
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而现在机器也有了一定理解。
06:20
Maybe just finishing
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也许它已经完成了搜索这部分,
06:21
also on the search part,
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也许它已经完成了搜索这部分,
06:24
it started with search, really understanding
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它从搜索开始,真正理解人的意图
06:27
people's context and their information.
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和他们的信息。
06:29
I did have a video
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我有一个视频,
06:31
I wanted to show quickly on that
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我想快速展示一下
06:33
that we actually found.
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我发现了什么。
06:35
(Video) ["Soy, Kenya"]
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(视频)[肯尼亚·索伊]
06:40
Zack Matere: Not long ago,
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扎克·马泰尔:不久之前,
06:42
I planted a crop of potatoes.
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我种了一片土豆,
06:45
Then suddenly they started
dying one after the other.
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然后突然不断地有土豆死掉了。
06:48
I checked out the books and
they didn't tell me much.
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我从书里查找,但没发现多少信息,
06:51
So, I went and I did a search.
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所以我去搜索了一下。
06:53
["Zack Matere, Farmer"]
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["扎克·马泰尔,农民"]
06:57
Potato diseases.
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土豆 病
07:00
One of the websites told me
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有一个网站告诉我
07:02
that ants could be the problem.
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问题可能是蚂蚁。
07:04
It said, sprinkle wood ash over the plants.
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它说,在作物上撒一些木灰。
07:06
Then after a few days the ants disappeared.
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几天之后蚂蚁消失了。
07:08
I got excited about the Internet.
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互联网让我非常激动。
07:11
I have this friend
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我有个朋友,
07:13
who really would like to expand his business.
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他很想把生意做大,
07:16
So I went with him to the cyber cafe
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于是我和他一起去了网吧,
07:20
and we checked out several sites.
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我们查看了一些网站。
07:22
When I met him next, he was going to put a windmill
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当我再次见到他的时候,
07:25
at the local school.
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他准备在当地学校建一座风车。
07:27
I felt proud because
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我觉得很高兴,
07:29
something that wasn't there before
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因为一个以前没有的东西,
07:31
was suddenly there.
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就这样突然出现了。
07:33
I realized that not everybody
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我意识到,
07:35
can be able to access
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我用上的东西
07:37
what I was able to access.
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却不是所有人都能用上。
07:39
I thought that I need to have an Internet
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我想我要有互联网,
07:40
that my grandmother can use.
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我的奶奶也可以用它。
07:42
So I thought about a notice board.
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所以我想到了一个公告栏,
07:45
A simple wooden notice board.
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一个简单的木头公告栏。
07:47
When I get information on my phone,
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我从手机上得到信息的时候,
07:49
I'm able to post the information
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我就可以把它
07:51
on the notice board.
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公布在公告栏上。
07:53
So it's basically like a computer.
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所以,它有点像个电脑,
07:56
I use the Internet to help people.
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我用互联网来帮助别人。
08:00
I think I am searching for
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我认为我是在搜索
08:03
a better life
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一个更好的生活,
08:05
for me and my neighbors.
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为我,也为我的邻居们。
08:09
So many people have access to information,
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这样许多人都可以得到信息,
08:13
but there's no follow-up to that.
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但是在这之后就没有后续了。
08:15
I think the follow-up to that is our knowledge.
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我认为“后续”就是我们的知识。
08:18
When people have the knowledge,
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人们有了知识,
08:19
they can find solutions
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他们就可以找到方法,
08:21
without having to helped out.
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而不需要找人帮忙。
08:23
Information is powerful,
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信息就是力量,
08:25
but it is how we use it that will define us.
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但是如何使用信息才决定了我们的未来。
08:30
(Applause)
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(掌声)
08:34
LP: Now, the amazing thing about that video,
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拉里·佩奇:这段视频的精彩这处在于,
08:37
actually, was we just read about it in the news,
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其实是我们先在新闻里看到这件事,
08:38
and we found this gentlemen,
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然后我们找到了这位先生,
08:41
and made that little clip.
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制作了这段视频。
08:43
CR: When I talk to people about you,
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查理·罗斯:当我和别人说起你,
08:44
they say to me, people who know you well, say,
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他们是些很了解你的人,他们对我说,
08:47
Larry wants to change the world,
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拉里想要改变世界,
08:49
and he believes technology can show the way.
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他相信技术可以指出道路,
08:53
And that means access to the Internet.
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也就是接入互联网。
08:55
It has to do with languages.
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这一定和语言有关。
08:56
It also means how people can get access
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这也意味着,人们要如何访问互联网,
08:59
and do things that will affect their community,
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来做一些事情,会影响到他所在的群体。
09:02
and this is an example.
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这就是一个例子。
09:04
LP: Yeah, that's right, and I think for me,
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拉里·佩奇:是的,对我来说,
09:08
I have been focusing on access more,
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我一直关注于更广泛和便利的网络联接,
09:10
if we're talking about the future.
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如果我们说的是未来的话。
09:13
We recently released this Loon Project
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我们最近推出了Loon Project项目,
09:15
which is using balloons to do it.
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用热气球来实现接入互联网,
09:18
It sounds totally crazy.
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听起来很疯狂。
09:19
We can show the video here.
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我们可以在这里放一下视频。
09:22
Actually, two out of three people in the world
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事实上,现在世界上有三分之二的人
09:23
don't have good Internet access now.
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无法访问互联网。
09:26
We actually think this can really help people
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我们认为这个项目真的可以帮助人们,
09:29
sort of cost-efficiently.
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并且费用低廉。
09:31
CR: It's a balloon.
LP: Yeah, get access to the Internet.
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查理·罗斯:这是一个气球。
拉里·佩奇:是的,可以联网。
09:34
CR: And why does this balloon give you access
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查理·罗斯:为什么通过这个气球就可以联网?
09:36
to the Internet?
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查理·罗斯:为什么通过这个气球就可以联网?
09:37
Because there was some interesting things
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因为你得想出一些有趣的办法,
09:39
you had to do to figure out how
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因为你得想出一些有趣的办法,
09:40
to make balloons possible,
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来让气球的办法成为可能,
09:43
they didn't have to be tethered.
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还不用给气球插上线。
09:44
LP: Yeah, and this is a good example of innovation.
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拉里·佩奇:是的,这一个关于创新的好例子。
09:46
Like, we've been thinking about this idea
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在我们开始着手之前,
09:49
for five years or more
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我们已经在思考这个想法了,
09:51
before we started working on it,
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有五年甚至更久,
09:52
but it was just really,
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但问题在于,
09:54
how do we get access points up high, cheaply?
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如何才能便宜地在天上设一个接入点?
09:57
You normally have to use satellites
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通常的办法得用人造卫星,
09:59
and it takes a long time to launch them.
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但发射需要很长时间。
10:02
But you saw there how easy it is to launch a balloon
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然后我们就看到,把一个气球放到天上,
10:04
and get it up,
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是多么简单的事,
10:06
and actually again, it's the power of the Internet,
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事实上,这再一次说明了互联网的力量。
10:08
I did a search on it,
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我确实搜索过这件事,
10:10
and I found, 30, 40 years ago,
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我发现三四十年前
10:12
someone had put up a balloon
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就有人放出过一个气球,
10:14
and it had gone around the Earth multiple times.
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而且这个气球绕着地球转了不少圈。
10:17
And I thought, why can't we do that today?
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然后我想,为什么今天我们不可以做呢?
10:20
And that's how this project got going.
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这个项目就这样开始了。
10:22
CR: But are you at the mercy of the wind?
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查理·罗斯:但是你受到风的影响大吗?
10:24
LP: Yeah, but it turns out,
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拉里·佩奇:是的,但实际上,
10:26
we did some weather simulations
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我们做了一些气象模拟,
10:28
which probably hadn't really been done before,
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很可能以前从来没人做过,
10:30
and if you control the altitude of the balloons,
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2110
如果控制气球的高度,
10:32
which you can do by pumping air into them
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可以通过充气或别的方法实现,
10:35
and other ways,
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可以通过充气或别的方法实现,
10:37
you can actually control roughly where they go,
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就可以大致控制气球的运动,
10:40
and so I think we can build a worldwide mesh
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因此,我想我们可以建造一个世界性网络,
10:42
of these balloons that can cover the whole planet.
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用这些气球来覆盖全球。
10:45
CR: Before I talk about the future and transportation,
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查理·罗斯:在我们谈谈未来和交通之前--
10:47
where you've been a nerd for a while,
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这两样你已经痴迷了有一段时间。
10:49
and this fascination you have with transportation
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你对交通、
10:52
and automated cars and bicycles,
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自动驾驶汽车和自行车相当痴迷--
10:54
let me talk a bit about what's been the subject here
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我先提一下有关爱德华·斯诺登的话题,
10:55
earlier with Edward Snowden.
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稍早之前也是TED主题,
10:58
It is security and privacy.
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事关安全与隐私。
11:01
You have to have been thinking about that.
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这个问题你一定一直有所考虑。
11:03
LP: Yeah, absolutely.
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拉里·佩奇:是的,毫无疑问。
11:05
I saw the picture of Sergey with
Edward Snowden yesterday.
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昨天我看到了谢尔盖和爱德华·斯诺登的照片。
11:07
Some of you may have seen it.
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在座的有些人应该也看到了。
11:10
But I think, for me, I guess,
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但我个人觉得,
11:14
privacy and security are a really important thing.
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隐私和安全是非常重要的事情。
11:17
We think about it in terms of both things,
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我们在这两方面都有所思考,
11:19
and I think you can't have privacy without security,
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我认为没有安全就不存在隐私,
11:22
so let me just talk about security first,
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所以我先谈谈安全,
11:25
because you asked about Snowden and all of that,
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因为你问到了有关斯诺登的事情,
11:27
and then I'll say a little bit about privacy.
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然后我会再讲一点隐私。
11:30
I think for me, it's tremendously disappointing
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我个人感到极度失望,
11:34
that the government
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就是政府偷偷地做了所有这些事,
11:35
secretly did all this stuff and didn't tell us.
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而且没有告诉我们。
11:37
I don't think we can have a democracy
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我认为这样背离了民主,
11:41
if we're having to protect you and our users
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如果有些事大家还从未讨论过,
11:44
from the government
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而我们不得不防止政府
11:46
for stuff that we've never had a conversation about.
291
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来侵犯你和我们的用户的这些事情,
11:49
And I don't mean we have to know
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我倒不是说我们必须知道
11:50
what the particular terrorist attack is they're worried
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政府所担心的具体的恐怖袭击是什么,
11:52
about protecting us from,
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政府所担心的具体的恐怖袭击是什么,
11:54
but we do need to know
295
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而是我们需要知道
11:56
what the parameters of it is,
296
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事情应当符合什么条件,
11:58
what kind of surveillance the government's
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2044
政府要进行何种监控,
12:00
going to do and how and why,
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打算怎么做,为什么这样做,
12:02
and I think we haven't had that conversation.
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我认为我们并没有讨论过这些问题。
12:05
So I think the government's actually done
300
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所以我认为政府偷偷地做了所有这些事情,
12:07
itself a tremendous disservice
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实际上造成了严重的伤害。
12:09
by doing all that in secret.
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实际上造成了严重的伤害。
12:11
CR: Never coming to Google
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查理·罗斯:绝不要找Google
12:13
to ask for anything.
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要任何东西。
12:15
LP: Not Google, but the public.
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拉里·佩奇:不是Google,而是公众。
12:17
I think we need to
have a debate about that,
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我认为我们需要讨论一下这个问题,
12:20
or we can't have a functioning democracy.
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否则我们的民主就名不副实。
12:23
It's just not possible.
308
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1406
这不可能称为民主。
12:24
So I'm sad that Google's
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2244
所以Google处在了这样一个位置上,
12:27
in the position of protecting you and our users
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要防止政府偷偷做这些我们根本不知道的事情,
12:29
from the government
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防止它侵犯你和我们的用户,
12:31
doing secret thing that nobody knows about.
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2244
这让我觉得荒唐,
12:33
It doesn't make any sense.
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1747
这毫无道理。
12:35
CR: Yeah. And then there's a privacy side of it.
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查理·罗斯:没错,然后还有隐私方面的问题。
12:38
LP: Yes. The privacy side,
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拉里·佩奇:是的,还有隐私一面,
12:40
I think it's -- the world is changing.
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我认为,世界正在变化。
12:42
You carry a phone. It knows where you are.
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你带个手机,它知道你在哪里。
12:46
There's so much more information about you,
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还有许多你的个人信息,
12:49
and that's an important thing,
319
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这是件非常重要的事情,
12:52
and it makes sense why people are asking
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人们因此而提出难以回答的问题,
12:54
difficult questions.
321
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2036
是合情合理的。
12:56
We spend a lot of time thinking about this
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我们花了很多时间去思考这一点,
13:00
and what the issues are.
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2711
以及问题所在。
13:02
I'm a little bit --
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1729
我有一点--
13:04
I think the main thing that we need to do
325
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我认为我们需要做的事情里最主要的一点,
13:05
is just provide people choice,
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就是让人们可以选择,
13:08
show them what data's being collected --
327
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2512
告诉他们什么数据会被收集--
13:10
search history, location data.
328
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4751
搜索记录,位置信息。
13:15
We're excited about incognito mode in Chrome,
329
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2772
我们对于Chrome浏览器的匿名模式感到很兴奋,
13:18
and doing that in more ways,
330
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将它应用到更多的方面,
13:20
just giving people more choice
331
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也就是给予人们更多选择,
13:21
and more awareness of what's going on.
332
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让他们更好地认识到发生了什么事。
13:25
I also think it's very easy.
333
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2393
我也认为这非常简单。
13:27
What I'm worried is that we throw out
334
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我所担心的是,
13:28
the baby with the bathwater.
335
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2090
我们把孩子和洗澡水一起倒掉了。
13:30
And I look at, on your show, actually,
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2914
我看到,在你的节目上,
13:33
I kind of lost my voice,
337
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1719
我嗓子有点哑了,
13:35
and I haven't gotten it back.
338
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我还没有恢复。
13:36
I'm hoping that by talking to you
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我希望和你聊聊
13:38
I'm going to get it back.
340
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能恢复得快一点。
13:40
CR: If I could do anything, I would do that.
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查理·罗斯:如果我能帮上什么忙,我一定会帮。
13:41
LP: All right. So get out your voodoo doll
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2180
拉里·佩奇:那好,拿出你的劈邪宝剑,
13:44
and whatever you need to do.
343
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2419
该怎么做你就尽管做。
13:46
But I think, you know what, I look at that,
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但是我认为,我看着这件事,
13:48
I made that public,
345
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我把它公开化了,
13:50
and I got all this information.
346
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我得到了所有这些信息。
13:51
We got a survey done on medical conditions
347
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2729
我做过一个关于身体状况的调查,
13:54
with people who have similar issues,
348
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3371
调查对象都有些类似的问题。
13:57
and I look at medical records, and I say,
349
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4741
我一边看着医疗记录,一边说,
14:02
wouldn't it be amazing
350
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1405
如果每个人的医疗记录
14:04
if everyone's medical records were available
351
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2050
都可以匿名地提供给
14:06
anonymously
352
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1683
做研究的医生,
14:07
to research doctors?
353
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2636
那岂不是很好?
14:10
And when someone accesses your medical record,
354
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3041
当有人查看你的医疗记录时,
14:13
a research doctor,
355
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1609
一个做研究的医生,
14:15
they could see, you could see which doctor
356
855156
2634
他们可以看到,你也可以看到
14:17
accessed it and why,
357
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1860
是哪一位医生看了,和为什么要看,
14:19
and you could maybe learn about
358
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1580
然后你也许可以了解到
14:21
what conditions you have.
359
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1630
你的状况如何。
14:22
I think if we just did that,
360
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1502
我认为如果我们做到这一点,
14:24
we'd save 100,000 lives this year.
361
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这一年里就可以拯救十万人的生命。
14:26
CR: Absolutely. Let me go — (Applause)
362
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查理·罗斯:毫无疑问。我想要--(掌声)
14:29
LP: So I guess I'm just very worried that
363
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2762
拉里·佩奇:所以我想我就是非常担心
14:32
with Internet privacy,
364
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1806
这件事与互联网隐私的问题。
14:34
we're doing the same thing we're
doing with medical records,
365
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2300
我们现在面对的问题和面对医疗记录时一样,
14:36
is we're throwing out the baby with the bathwater,
366
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2529
就是我们把孩子和洗澡水一起倒掉了,
14:38
and we're not really thinking
367
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1828
我们没有真正地思考过
14:40
about the tremendous good that can come
368
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2210
信息共享带来的巨大益处,
14:42
from people sharing information
369
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2191
人们分享信息,
14:45
with the right people in the right ways.
370
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2577
要与正确的人分享,并且用正确的方式。
14:47
CR: And the necessary condition
371
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2237
查理·罗斯:还有一个必要条件,
14:49
that people have to have confidence
372
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就是人们得有信心,
14:51
that their information will not be abused.
373
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相信他们的信息不会被滥用。
14:54
LP: Yeah, and I had this problem with my voice stuff.
374
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1777
拉里·佩奇:是的,我在我的声音上有同样的问题,
14:55
I was scared to share it.
375
895853
1508
我害怕分享出来。
14:57
Sergey encouraged me to do that,
376
897361
1890
谢尔盖鼓励我这么做,
14:59
and it was a great thing to do.
377
899251
1827
这件事非常值得一做。
15:01
CR: And the response has been overwhelming.
378
901078
1734
查理·罗斯:而且大家的反应出奇地好。
15:02
LP: Yeah, and people are super positive.
379
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1660
拉里·佩奇;是的,而且人们的反应极为正面。
15:04
We got thousands and thousands of people
380
904472
2833
我们调查了成千上万的人,
15:07
with similar conditions,
381
907305
1288
都有类似的状况,
15:08
which there's no data on today.
382
908593
3028
而这些数据至今都是没有的。
15:11
So it was a really good thing.
383
911621
1356
所以这是一件非常好的事情。
15:12
CR: So talking about the future, what is it about you
384
912977
3019
查理·罗斯:说到未来,你怎么看?
15:15
and transportation systems?
385
915996
3758
还有交通问题?
15:19
LP: Yeah. I guess I was just frustrated
386
919754
2177
拉里·佩奇:我在密歇根州读大学的时候,
15:21
with this when I was at college in Michigan.
387
921931
2539
我是感到非常沮丧的。
15:24
I had to get on the bus and take it
388
924470
1450
我必须坐公共汽车,
15:25
and wait for it.
389
925920
1642
还要等它。
15:27
And it was cold and snowing.
390
927562
2179
当时很冷,又在下雪。
15:29
I did some research on how much it cost,
391
929741
2655
我就做了一点研究,公共交通的成本问题,
15:32
and I just became a bit obsessed
with transportation systems.
392
932396
6425
然后我就有点迷上了交通系统。
15:38
CR: And that began the idea of an automated car.
393
938821
2370
查理·罗斯:于是就有了自动驾驶汽车的想法。
15:41
LP: Yeah, about 18 years ago I learned about
394
941191
1694
拉里·佩奇:是的,大约18年前我了解到
15:42
people working on automated cars,
395
942885
3182
有人在研究自动驾驶,
15:46
and I became fascinated by that,
396
946067
1623
我被深深地吸引住了,
15:47
and it takes a while to
get these projects going,
397
947690
2777
让这些项目有所进展得花点时间,
15:50
but I'm super excited about the possibilities of that
398
950467
5097
但是想到有可能让世界变得更好,
15:55
improving the world.
399
955564
1668
我感到无比激动。
15:57
There's 20 million people or more injured per year.
400
957232
4526
每年有超过两千万人受伤。
16:01
It's the leading cause of death
401
961758
1986
这是美国34岁以下人群
16:03
for people under 34 in the U.S.
402
963744
2130
死亡的主要原因。
16:05
CR: So you're talking about saving lives.
403
965874
1551
查理·罗斯:所以这么说就是拯救生命了。
16:07
LP: Yeah, and also saving space
404
967425
2355
拉里·佩奇:是的,也是节省空间
16:09
and making life better.
405
969780
3915
和让生活更美好。
16:13
Los Angeles is half parking lots and roads,
406
973695
4245
在洛杉矶一半的土地都是停车场和道路,
16:17
half of the area,
407
977940
1733
一半的土地,
16:19
and most cities are not far behind, actually.
408
979673
2827
而且大部分城市其实也差不多了。
16:22
It's just crazy
409
982500
1564
这实在是太疯狂了,
16:24
that that's what we use our space for.
410
984064
1593
我们把空间就用来作这个用途。
16:25
CR: And how soon will we be there?
411
985657
2343
查理·罗斯:我们什么时候可以实现?
16:28
LP: I think we can be there very, very soon.
412
988000
1926
拉里·佩奇:我想非常、非常快就可以实现了。
16:29
We've driven well over 100,000 miles
413
989926
3501
我们已经良好运行了十万英里(16万公里),
16:33
now totally automated.
414
993427
4093
现在完全是自动行驶。
16:37
I'm super excited about getting that out quickly.
415
997520
3652
能够这么快地实现它,让我无比激动。
16:41
CR: But it's not only you're
talking about automated cars.
416
1001172
2405
查理·罗斯:但你考虑的不只是自动驾驶汽车,
16:43
You also have this idea for bicycles.
417
1003577
2386
你对自行车也有这样的想法。
16:45
LP: Well at Google, we got this idea
418
1005963
2246
拉里·佩奇:在Google,我们有一个想法,
16:48
that we should just provide free bikes to everyone,
419
1008209
3451
我们应该向每一个人提供免费自行车,
16:51
and that's been amazing, most of the trips.
420
1011660
2768
这非常棒,对大多数旅行都是。
16:54
You see bikes going everywhere,
421
1014428
1586
你看,自行车哪里都可以去,
16:56
and the bikes wear out.
422
1016014
1566
而自行车会磨损,
16:57
They're getting used 24 hours a day.
423
1017580
1454
它一天24小时都在使用。
16:59
CR: But you want to put them above the street, too.
424
1019034
2160
查理·罗斯:但你也想把自行车放到街道上。
17:01
LP: Well I said, how do we get people
425
1021194
1575
拉里·佩奇:我就说,
17:02
using bikes more?
426
1022769
1527
怎样才可以让人们更多地使用自行车呢?
17:04
CR: We may have a video here.
427
1024296
1625
查理·罗斯:我们这儿有一段视频。
17:05
LP: Yeah, let's show the video.
428
1025921
1278
拉里·佩奇:好,我们来放一下视频,
17:07
I just got excited about this.
429
1027199
3092
这个让我非常激动。
17:10
(Music)
430
1030291
4042
(音乐)
17:16
So this is actually how you might separate
431
1036213
2425
其实这就是把自行车与汽车分离开来的方法,
17:18
bikes from cars with minimal cost.
432
1038638
3629
而且代价最小。
17:26
Anyway, it looks totally crazy,
433
1046711
1755
当然了,看起来很疯狂,
17:28
but I was actually thinking about our campus,
434
1048466
2327
但实际上我考虑的是我们的校园,
17:30
working with the Zippies and stuff,
435
1050793
2060
和许多城市等等一起合作,
17:32
and just trying to get a lot more bike usage,
436
1052853
2298
就是想大大提高自行车使用率,
17:35
and I was thinking about,
437
1055151
1548
我还在想,
17:36
how do you cost-effectively separate
438
1056699
2831
我们怎样才能有效并且廉价地
17:39
the bikes from traffic?
439
1059530
1414
把自行车从车流中分离开来?
17:40
And I went and searched,
440
1060944
1150
我做了研究,
17:42
and this is what I found.
441
1062094
1371
这就是我所得到的。
17:43
And we're not actually working on this,
442
1063465
1845
我们其实没有研究这个,
17:45
that particular thing,
443
1065310
1292
我是说这个具体方案,
17:46
but it gets your imagination going.
444
1066602
2054
但它扩展了想象力。
17:48
CR: Let me close with this.
445
1068656
1764
查理·罗斯:我们把这个话题先告一段落,
17:50
Give me a sense of the philosophy
of your own mind.
446
1070420
2345
描述一下你的想法有着怎样的基本原则。
17:52
You have this idea of [Google X].
447
1072765
2488
你有了Google X这个想法,
17:55
You don't simply want
448
1075253
2996
你想要的不只是一些
17:58
to go in some small, measurable arena of progress.
449
1078249
5596
小的,规模有限的舞台。
18:03
LP: Yeah, I think
450
1083845
1713
拉里·佩奇:是的,我认为
18:05
many of the things we just
talked about are like that,
451
1085558
2131
我们刚讨论过的许多事情就是这样,
18:07
where they're really --
452
1087689
2952
它们真是--
18:10
I almost use the economic concept of additionality,
453
1090641
3630
我差点要用经济学概念上的额外性了,
18:14
which means that you're doing something
454
1094271
2190
就是说,你要做的事情本来并不会发生,
18:16
that wouldn't happen unless
you were actually doing it.
455
1096461
2948
除非你是真的在做它。
18:19
And I think the more you can do things like that,
456
1099409
3140
我认为这样的事情你做得越多,
18:22
the bigger impact you have,
457
1102549
2071
你获得的影响就越大,
18:24
and that's about doing things
458
1104620
2990
人们也许认为不可能的事情
18:27
that people might not think are possible.
459
1107610
3607
就应当这样做。
18:31
And I've been amazed,
460
1111217
1829
我惊讶地发现,
18:33
the more I learn about technology,
461
1113046
2229
我懂得的技术越多,
18:35
the more I realize I don't know,
462
1115275
2196
就越意识到自己的不足。
18:37
and that's because this technological horizon,
463
1117471
3337
这是因为技术的眼界提高了,
18:40
the thing that you can see to do next,
464
1120808
2897
也就是你预见下一步应当怎么做的能力。
18:43
the more you learn about technology,
465
1123705
1840
你懂得的技术越多,
18:45
the more you learn what's possible.
466
1125545
2602
你就越知道什么是可能的。
18:48
You learn that the balloons are possible
467
1128147
2246
你现在知道气球项目是可能的,
18:50
because there's some material
that will work for them.
468
1130393
2337
因为有了一些材料让它可以运作起来。
18:52
CR: What's interesting about
you too, though, for me,
469
1132730
2379
查理·罗斯:不过在我看来,你的有趣之处在于,
18:55
is that, we have lots of people
470
1135109
1711
有很多的人在思考未来,
18:56
who are thinking about the future,
471
1136820
2142
有很多的人在思考未来,
18:58
and they are going and looking
and they're coming back,
472
1138962
3268
他们去了看了看,又回来了,
19:02
but we never see the implementation.
473
1142230
2127
而我们从来没有看到最终实现。
19:04
I think of somebody you knew
474
1144357
1605
我想到了一个人,你一定知道,
19:05
and read about, Tesla.
475
1145962
2907
特斯拉。
19:08
The principle of that for you is what?
476
1148869
3804
你在这方面的原则是怎样的?
19:12
LP: Well, I think invention is not enough.
477
1152673
1785
拉里·佩奇:我认为仅仅有发明是不够的。
19:14
If you invent something,
478
1154458
1221
如果你发明一样东西,
19:15
Tesla invented electric power that we use,
479
1155679
3195
特斯拉发明了电力系统,我们现在用的就是,
19:18
but he struggled to get it out to people.
480
1158874
2661
但是他推广起来就非常困难,
19:21
That had to be done by other people.
481
1161535
1684
普及是由别人实现的,
19:23
It took a long time.
482
1163219
1626
花费了很长时间。
19:24
And I think if we can actually combine both things,
483
1164845
3867
我认为,如果我们能将二者真正结合起来,
19:28
where we have an innovation and invention focus,
484
1168712
3531
同时着眼于创新与发明,
19:32
plus the ability to really -- a company
485
1172243
2972
再加上一家公司,
19:35
that can really commercialize things
486
1175215
1998
可以使成果真正商业化,
19:37
and get them to people
487
1177213
1630
让人们接触到它,
19:38
in a way that's positive for the world
488
1178843
2075
让它对世界有积极地影响,
19:40
and to give people hope.
489
1180918
2056
并给人们带来希望。
19:42
You know, I'm amazed with the Loon Project
490
1182974
2774
你知道,大家对气球项目的关注程度
19:45
just how excited people were about that,
491
1185748
2786
让我很是吃惊,
19:48
because it gave them hope
492
1188534
1814
因为它带来了希望,
19:50
for the two thirds of the world
493
1190348
1621
对于世界上现在还不能上网的三分之二来说,
19:51
that doesn't have Internet right now that's any good.
494
1191969
2726
这怎样都是好事。
19:54
CR: Which is a second thing about corporations.
495
1194695
2122
查理·罗斯:这就是关于公司的第二件事。
19:56
You are one of those people who believe
496
1196817
2476
有些人,包括你,认为,
19:59
that corporations are an agent of change
497
1199293
2317
公司可以成为带来改变的媒介,
20:01
if they are run well.
498
1201610
1471
如果它能运营良好的话。
20:03
LP: Yeah. I'm really dismayed
499
1203081
1821
拉里·佩奇:是的,大部分人认为公司基本上都是邪恶的,
20:04
most people think companies are basically evil.
500
1204902
3294
这让我很是沮丧,
20:08
They get a bad rap.
501
1208196
1766
这么说并不公正,
20:09
And I think that's somewhat correct.
502
1209962
2241
但我认为在某程度上又是正确的。
20:12
Companies are doing the same incremental thing
503
1212203
2870
公司做的事情就是渐进发展,
20:15
that they did 50 years ago
504
1215073
1763
五十年前的公司就这样做,
20:16
or 20 years ago.
505
1216836
1631
或者说二十年前,
20:18
That's not really what we need.
506
1218467
1370
这也并非是我们真正需要的。
20:19
We need, especially in technology,
507
1219837
2218
我们需要的是,特别是在技术上,
20:22
we need revolutionary change,
508
1222055
2117
是革命性改变,
20:24
not incremental change.
509
1224172
1413
而不是渐进式改变。
20:25
CR: You once said, actually,
510
1225585
1169
查理·罗斯:你曾说过,
20:26
as I think I've got this about right,
511
1226754
1818
我希望我的理解是对的,
20:28
that you might consider,
512
1228572
1645
就是,你可能考虑,
20:30
rather than giving your money,
513
1230217
1753
相比于直接捐出你的钱,
20:31
if you were leaving it to some cause,
514
1231970
3320
你更愿意用于某些事业,
20:35
just simply giving it to Elon Musk,
515
1235290
2006
只管给伊隆·马斯克就好了,
20:37
because you had confidence
516
1237296
1163
因为你相信
20:38
that he would change the future,
517
1238459
1842
他会改变未来,
20:40
and that you would therefore —
518
1240301
1777
因此你就会--
20:42
LP: Yeah, if you want to go Mars,
519
1242078
1584
拉里·佩奇:是的,如果你想去火星,
20:43
he wants to go to Mars,
520
1243662
1721
他想去火星,
20:45
to back up humanity,
521
1245383
1971
来为人类探索后备方案,
20:47
that's a worthy goal, but it's a company,
522
1247354
1672
这个目标很有价值,但这是一个公司,
20:49
and it's philanthropical.
523
1249026
2555
这是慈善事业。
20:51
So I think we aim to do kind of similar things.
524
1251581
2952
所以我觉得我们的目标是做些类似的事情。
20:54
And I think, you ask, we have a lot of employees
525
1254533
2987
你问过,我们在Google有许多员工,
20:57
at Google who have become pretty wealthy.
526
1257520
3315
他们非常富有,
21:00
People make a lot of money in technology.
527
1260835
2520
通过技术赚了很多钱,
21:03
A lot of people in the room are pretty wealthy.
528
1263355
2156
很多人都非常富有。
21:05
You're working because you
want to change the world.
529
1265511
2314
你工作的目的是想要改变世界,
21:07
You want to make it better.
530
1267825
1762
你想让世界变得更好。
21:09
Why isn't the company that you work for
531
1269587
3445
你既然为这家公司工作,
21:13
worthy not just of your time
532
1273032
1943
为什么不值得为它投入你的时间,
21:14
but your money as well?
533
1274975
2151
还有你的金钱呢?
21:17
I mean, but we don't have a concept of that.
534
1277126
1722
我的意思是,我们并不这样认为,
21:18
That's not how we think about companies,
535
1278848
2304
我们也不是这样看待公司的。
21:21
and I think it's sad,
536
1281152
1467
我也觉得很伤感,
21:22
because companies are most of our effort.
537
1282619
3767
因为我们所付出的努力绝大部分都花在了公司上。
21:26
They're where most of people's time is,
538
1286386
2515
人们在这里付出了最多的时间,
21:28
where a lot of the money is,
539
1288901
1854
也花费了许多金钱,
21:30
and so I think I'd like for us to help out
540
1290755
2352
所以我想我要帮助大家,
21:33
more than we are.
541
1293107
1126
而不是只顾自己。
21:34
CR: When I close conversations with lots of people,
542
1294233
1721
查理·罗斯:我跟许多人的谈话结束时,
21:35
I always ask this question:
543
1295954
1779
我总是问这样的一个问题:
21:37
What state of mind,
544
1297733
1515
什么样的心理状态,
21:39
what quality of mind is it
545
1299248
1809
什么样的精神品质,
21:41
that has served you best?
546
1301057
1767
让你最为受益‘?
21:42
People like Rupert Murdoch have said curiosity,
547
1302824
2521
像鲁珀特·默多克这样的人说是好奇心,
21:45
and other people in the media have said that.
548
1305345
2628
别的媒体人士也这样说。
21:47
Bill Gates and Warren Buffett have said focus.
549
1307973
3024
比尔·盖茨和沃伦·巴菲特说是专注,
21:50
What quality of mind,
550
1310997
1427
在我与观众说再见之际,
21:52
as I leave this audience,
551
1312424
1374
什么样的精神品质
21:53
has enabled you to think about the future
552
1313798
3530
使得你能够思考未来,
21:57
and at the same time
553
1317328
1647
而且与此同时,
21:58
change the present?
554
1318975
2205
改变现在?
22:01
LP: You know, I think the most important thing --
555
1321180
1670
拉里·佩奇:我认为最重要的事情,
22:02
I looked at lots of companies
556
1322850
1612
我见过很多公司,
22:04
and why I thought they don't succeed over time.
557
1324462
3303
为什么我认为它们没能经受时间的考验。
22:07
We've had a more rapid turnover of companies.
558
1327765
2833
如今公司的人员流动更快,
22:10
And I said, what did they fundamentally do wrong?
559
1330598
2769
我问,他们出错的根源是什么?
22:13
What did those companies all do wrong?
560
1333367
2167
这些公司都错在了哪里?
22:15
And usually it's just that they missed the future.
561
1335534
3272
通常仅仅是因为他们错失了未来。
22:18
And so I think, for me,
562
1338806
2444
所以在我看来,
22:21
I just try to focus on that and say,
563
1341250
2424
我就是专注于这一点,并且在想,
22:23
what is that future really going to be
564
1343674
2184
未来将真正走向何方,
22:25
and how do we create it,
565
1345858
1787
我们要如何创造未来,
22:27
and how do we cause our organization,
566
1347645
4667
我们怎样才能让我们的组织
22:32
to really focus on that
567
1352312
2440
真正专注于它,
22:34
and drive that at a really high rate?
568
1354752
3325
并且很快地行动呢?
22:38
And so that's been curiosity,
569
1358077
1360
所以那就是好奇心,
22:39
it's been looking at things
570
1359437
1733
去寻找人们
22:41
people might not think about,
571
1361170
1718
可能没有想过的东西,
22:42
working on things that no one else is working on,
572
1362888
3105
研究别人所没有研究过的东西,
22:45
because that's where the additionality really is,
573
1365993
3306
因为那才是真正的额外性,
22:49
and be willing to do that,
574
1369299
1551
同时乐于去做,
22:50
to take that risk.
575
1370850
1382
乐于承担风险。
22:52
Look at Android.
576
1372232
1065
看看安卓,
22:53
I felt guilty about working on Android
577
1373297
2785
为安卓而工作曾让我感到内疚,
22:56
when it was starting.
578
1376082
1316
在它刚起步时,
22:57
It was a little startup we bought.
579
1377398
1958
我们收购它时,它只是很小的一步。
22:59
It wasn't really what we were really working on.
580
1379356
2670
它当时也不是我们真正努力的方向。
23:02
And I felt guilty about spending time on that.
581
1382026
2495
为它花时间让我感到内疚,
23:04
That was stupid.
582
1384521
1454
那真是非常愚蠢。
23:05
That was the future, right?
583
1385975
1051
那其实就是未来,对吧?
23:07
That was a good thing to be working on.
584
1387026
2285
那是个很棒的东西,值得为之努力。
23:09
CR: It is great to see you here.
585
1389311
1417
查理·罗斯:很高兴在这里见到你,
23:10
It's great to hear from you,
586
1390728
1460
很高兴听到你的讲述,
23:12
and a pleasure to sit at this table with you.
587
1392188
2297
和你一起坐在这里也是我的荣幸。
23:14
Thanks, Larry.
588
1394485
928
谢谢拉里。
23:15
LP: Thank you.
589
1395413
2103
拉里·佩奇:谢谢你。
23:17
(Applause)
590
1397516
3932
(掌声)
23:21
CR: Larry Page.
591
1401448
3311
查理·罗斯:拉里·佩奇。
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