Juan Enriquez: Will our kids be a different species?

202,944 views ・ 2012-06-04

TED


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00:00
Translator: Timothy Covell Reviewer: Morton Bast
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翻译人员: Yu-Jia Wang 校对人员: Yuguo Zhang
00:15
All right. So, like all good stories,
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和大家熟知的故事一样
00:17
this starts a long, long time ago
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很久,很久以前
00:19
when there was basically nothing.
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一切皆是虚无
00:21
So here is a complete picture of the universe
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这就是大约140亿年前
00:24
about 14-odd billion years ago.
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宇宙的全景
00:27
All energy is concentrated into a single point of energy.
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所有能量会聚在一点
00:30
For some reason it explodes,
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出于一些原因它发生了爆炸
00:32
and you begin to get these things.
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于是你开始得到了这一切
00:34
So you're now about 14 billion years into this.
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从那时到今天已经有140亿年了
00:37
And these things expand and expand and expand
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它们无休止的膨胀,膨胀,膨胀
00:39
into these giant galaxies,
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形成了这些巨型星系
00:40
and you get trillions of them.
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数以亿万计
00:42
And within these galaxies
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在这些星系之中
00:44
you get these enormous dust clouds.
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存在着巨大数量的尘埃云
00:46
And I want you to pay particular attention
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请大家注意观察
00:48
to the three little prongs
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在图片中心的
00:49
in the center of this picture.
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这三个小突起
00:51
If you take a close-up of those,
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如果来个特写的话
00:52
they look like this.
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它们是这样的
00:54
And what you're looking at is columns of dust
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你们正在观察的是尘埃柱
00:57
where there's so much dust --
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其中的尘埃非常密集
00:59
by the way, the scale of this is a trillion vertical miles --
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顺便说一句,这幅图片的垂直尺度是一兆英里
01:03
and what's happening is there's so much dust,
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在其中的巨量尘埃
01:06
it comes together and it fuses
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相互聚集,融合
01:08
and ignites a thermonuclear reaction.
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引发热核反应
01:12
And so what you're watching
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你们正在看到的
01:13
is the birth of stars.
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是恒星的诞生
01:14
These are stars being born out of here.
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恒星就在这里形成
01:16
When enough stars come out,
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当足够的恒星出现时
01:19
they create a galaxy.
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就形成了星系
01:20
This one happens to be a particularly important galaxy,
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这个星系是一个特别重要的星系
01:24
because you are here.
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因为我们就在这儿
01:26
(Laughter)
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(笑声)
01:27
And as you take a close-up of this galaxy,
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如果你继续在近距离观察这个星系
01:29
you find a relatively normal,
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你会发现一个相对普通的
01:31
not particularly interesting star.
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并不特别有趣的恒星
01:33
By the way, you're now about two-thirds of the way into this story.
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顺带一提,这个故事已经讲了三分之二了
01:37
So this star doesn't even appear
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或者说这颗恒星
01:40
until about two-thirds of the way into this story.
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直到那时甚至都还没有形成
01:42
And then what happens
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之后发生的
01:44
is there's enough dust left over
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是那里剩余的尘埃
01:45
that it doesn't ignite into a star,
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并不足以引发核聚变形成恒星
01:47
it becomes a planet.
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于是成为了行星
01:49
And this is about a little over four billion years ago.
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这大约发生在40亿年前
01:54
And soon thereafter
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之后不久
01:55
there's enough material left over
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那里仍然有足够的材料留了下来
01:57
that you get a primordial soup,
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形成“原生汤”
02:02
and that creates life.
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生命从中诞生
02:03
And life starts to expand and expand and expand,
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生命无休止的扩张,扩张,扩张
02:07
until it goes kaput.
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直到它完蛋
02:09
(Laughter)
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(笑声)
02:13
Now the really strange thing
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这其中非常奇怪的事
02:14
is life goes kaput, not once, not twice,
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是生命灭绝了不止一次,两次
02:17
but five times.
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而是五次
02:19
So almost all life on Earth
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所以几乎现存的所有生物
02:21
is wiped out about five times.
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都经历过五次大灭绝
02:24
And as you're thinking about that,
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正如大家所想的那样
02:25
what happens is you get more and more complexity,
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新生命包含着
02:28
more and more stuff
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越来越多的质料
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to build new things with.
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越来越具有复杂性
02:33
And we don't appear
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而我们人类
02:34
until about 99.96 percent of the time into this story,
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直到故事进行了99.96%才出现
02:40
just to put ourselves and our ancestors in perspective.
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这让我们能够对自己和我们的祖先有一个清晰的认识
02:44
So within that context, there's two theories of the case
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在这个背景下有两种理论
02:47
as to why we're all here.
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解释人类为什么存在
02:49
The first theory of the case
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第一个理论是
02:51
is that's all she wrote.
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这都是“她”写下来的
02:54
Under that theory,
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按照这种理论
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we are the be-all and end-all
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我们是造物主最重要
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of all creation.
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也是最后的造物
02:59
And the reason for trillions of galaxies,
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数万亿的星系
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sextillions of planets,
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无数的行星存在的原因
03:04
is to create something that looks like that
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就是为了创造“这样”
03:09
and something that looks like that.
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和“这样”的生命
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And that's the purpose of the universe;
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这就是宇宙存在的目的
03:14
and then it flat-lines,
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然后它就停滞不前
03:15
it doesn't get any better.
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没有进一步发展
03:16
(Laughter)
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(笑声)
03:21
The only question you might want to ask yourself is,
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大家会问自己这样一个问题
03:24
could that be just mildly arrogant?
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这是不是太自大了?
03:29
And if it is --
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如果是的话
03:31
and particularly given the fact that we came very close to extinction.
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特别是基于人类曾经近乎灭绝的事实
03:36
There were only about 2,000 of our species left.
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那时只剩下大约2000人
03:39
A few more weeks without rain,
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如果再有几个星期不下雨
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we would have never seen any of these.
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我们就再也见不到这些人了
03:44
(Laughter)
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(笑声)
03:51
(Applause)
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(掌声)
03:56
So maybe you have to think about a second theory
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因此我们不得不去考虑第二种理论
03:59
if the first one isn't good enough.
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既然第一种解释不通
04:02
Second theory is: Could we upgrade?
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第二种理论是:我们能不能“升级”?
04:03
(Laughter)
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(笑声)
04:06
Well, why would one ask a question like that?
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好吧,怎么会有人问这种问题呢?
04:10
Because there have been at least 29 upgrades so far
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因为人类目前至少已经
04:12
of humanoids.
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”升级“了29次
04:14
So it turns out that we have upgraded.
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这表明我们确实”升级“过
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We've upgraded time and again and again.
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我们曾经一次又一次的“升级”
04:19
And it turns out that we keep discovering upgrades.
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并且现在证明我们还在不断的”升级“
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We found this one last year.
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这是去年发现的
04:24
We found another one last month.
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上个月我们又发现了一个
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And as you're thinking about this,
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既然现在大家都在思考这个理论
04:29
you might also ask the question:
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就有可能产生一个疑问:
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So why a single human species?
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为什么只有一种人类呢?
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Wouldn't it be really odd
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难道在非洲、亚洲和南极洲
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if you went to Africa and Asia and Antarctica
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都发现同一种鸟类
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and found exactly the same bird --
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不是一件奇怪的事情吗?
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particularly given that we co-existed at the same time
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尤其是考虑到我们曾经和
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with at least eight other versions of humanoid
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其他至少8种人种
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at the same time on this planet?
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在地球上共存过
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So the normal state of affairs
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智人是唯一的人种的说法
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is not to have just a Homo sapiens;
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并不符合自然界的普遍法则
04:56
the normal state of affairs
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自然界的普遍法则是
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is to have various versions of humans walking around.
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存在着各种各样不同的人种
05:01
And if that is the normal state of affairs,
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如果确实是这样
05:03
then you might ask yourself,
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我们又要问自己
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all right, so if we want to create something else,
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好吧,那么如果我们想要产生一个新的人种
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how big does a mutation have to be?
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究竟需要有多大的变异?
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Well Svante Paabo has the answer.
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Svante Paabo给出了答案
05:13
The difference between humans and Neanderthal
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人类和尼安德特人
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is 0.004 percent of gene code.
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基因上只有0.004%的差别
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That's how big the difference is
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这就是两个物种之间
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one species to another.
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差异的大小
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This explains most contemporary political debates.
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这就解释了现在大多数的政治纠纷
05:28
(Laughter)
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(笑声)
05:30
But as you're thinking about this,
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但是大家仔细想想
05:33
one of the interesting things
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一件很有意思的事
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is how small these mutations are and where they take place.
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这些变异究竟是什么?又是在哪里发生的?
05:38
Difference human/Neanderthal
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人类和尼安德特人的差别在于
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is sperm and testis,
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精子和睾丸
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smell and skin.
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气味和皮肤
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And those are the specific genes
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某些特定的基因
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that differ from one to the other.
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产生了物种之间的区别
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So very small changes can have a big impact.
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一点点小小的变化就能引起巨大的影响
05:49
And as you're thinking about this,
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大家想想看
05:51
we're continuing to mutate.
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我们一直在变异
05:53
So about 10,000 years ago by the Black Sea,
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在大约10000年前的黑海地区
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we had one mutation in one gene
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我们的一个基因发生了变异
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which led to blue eyes.
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这产生了蓝色的眼睛
06:01
And this is continuing and continuing and continuing.
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这种变异一直持续着、持续至
06:05
And as it continues,
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与此同时
06:06
one of the things that's going to happen this year
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今年将发生的一件大事
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is we're going to discover the first 10,000 human genomes,
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是我们将要发现人类最早的10000个基因组
06:11
because it's gotten cheap enough to do the gene sequencing.
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这得益于基因测序已经足够便宜了
06:15
And when we find these,
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当我们获得这些数据
06:16
we may find differences.
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我们就可能产生新的理论
06:19
And by the way, this is not a debate that we're ready for,
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顺便说一句,我们还没有准备好去争论这些问题
06:22
because we have really misused the science in this.
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因为我们在此曾经误用了科学
06:25
In the 1920s, we thought there were major differences between people.
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在1920年代,我们认为人与人之间的基因差异是巨大的
06:29
That was partly based on Francis Galton's work.
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这部分基于Francis Galton的研究
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He was Darwin's cousin.
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他是达尔文的表弟
06:35
But the U.S., the Carnegie Institute,
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在美国,卡内基研究所
06:37
Stanford, American Neurological Association
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斯坦福大学,美国神经学协会
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took this really far.
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对此进行了深入的研究
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That got exported and was really misused.
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这造成了这种理论的传播和更加严重的误用
06:45
In fact, it led to some absolutely horrendous
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事实上它对人类的平等
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treatment of human beings.
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造成了非常恶劣的影响
06:50
So since the 1940s, we've been saying there are no differences,
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自从1940年代,我们就一直在说我们没有差别
06:52
we're all identical.
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我们都是一样的
06:54
We're going to know at year end if that is true.
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今年年底我们就将知道这是不是真的
06:57
And as we think about that,
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现在让我们来想想
06:59
we're actually beginning to find things
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我们现在确实开始发现一些东西
07:00
like, do you have an ACE gene?
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比如,你有ACE基因吗?
07:04
Why would that matter?
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那又是什么呢?
07:06
Because nobody's ever climbed an 8,000-meter peak without oxygen
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因为从没有能够不带氧气爬上8000米高的山峰的人
07:10
that doesn't have an ACE gene.
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不携带有ACE基因
07:13
And if you want to get more specific,
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如果想更具体的了解
07:14
how about a 577R genotype?
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来看看577R基因型吧?
07:17
Well it turns out that every male Olympic power athelete ever tested
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每个接受检测的奥林匹克男运动员
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carries at least one of these variants.
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都至少含有这种基因型的一个变体
07:25
If that is true,
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如果这是真的
07:27
it leads to some very complicated questions
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就给伦敦奥运会造成了
07:29
for the London Olympics.
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一些很复杂的问题
07:31
Three options:
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三种不同的选择:
07:32
Do you want the Olympics to be a showcase
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你希望奥运会变成一个
07:35
for really hardworking mutants?
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那些刻苦训练的变异人的展示舞台吗?
07:38
(Laughter)
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(笑声)
07:40
Option number two:
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第二:
07:42
Why don't we play it like golf or sailing?
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为什么我们不像高尔夫球或者帆船那样比赛呢?
07:46
Because you have one and you don't have one,
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因为他有这个基因,而你没有
07:48
I'll give you a tenth of a second head start.
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那就给你十分之一秒的先发优势
07:52
Version number three:
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第三:
07:53
Because this is a naturally occurring gene
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因为这是个自然发生的基因
07:55
and you've got it and you didn't pick the right parents,
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他有幸获得了这个基因,而你不幸投错了胎
07:58
you get the right to upgrade.
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所以你有权晋级
08:02
Three different options.
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三个不同的选择
08:04
If these differences are the difference
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如果这些差别是
08:06
between an Olympic medal and a non-Olympic medal.
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奥运奖牌和非奥运奖牌的差别
08:09
And it turns out that as we discover these things,
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就像我们所知道的那样
08:12
we human beings really like to change
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人类非常愿意改变
08:15
how we look, how we act,
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我们的容貌、行为方式
08:17
what our bodies do.
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以及身体状况
08:18
And we had about 10.2 million plastic surgeries in the United States,
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在美国大约进行过1020万例整形外科手术
08:23
except that with the technologies that are coming online today,
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这还不算即将投入使用的新技术
08:26
today's corrections, deletions,
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当今,修复、去除
08:29
augmentations and enhancements
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丰胸和美容
08:31
are going to seem like child's play.
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就像儿戏一般
08:34
You already saw the work by Tony Atala on TED,
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我们曾经在TED看过Tony Atala的演讲
08:37
but this ability to start filling
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这种填充技术
08:41
things like inkjet cartridges with cells
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就像是装满细胞的墨盒一样
08:44
are allowing us to print skin, organs
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让我们能够直接打印皮肤,器官
08:49
and a whole series of other body parts.
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甚至一系列的身体部位
08:51
And as these technologies go forward,
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随着技术的发展
08:53
you keep seeing this, you keep seeing this, you keep seeing things --
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我们会不断看到这个,看到那个,不断看到新的东西
08:57
2000, human genome sequence --
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2774
2000年,人类基因组计划
09:00
and it seems like nothing's happening,
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事情就好像是在发生那一刻之前
09:04
until it does.
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3112
什么也不会发生
09:07
And we may just be in some of these weeks.
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3524
我们现在也许就处在重大变革的前夕
09:10
And as you're thinking about
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如同大家所知道的那样
09:12
these two guys sequencing a human genome in 2000
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这两位在2000年进行人类基因组测序
09:15
and the Public Project sequencing the human genome in 2000,
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3553
还有2000年的公开项目——人类基因组计划
09:19
then you don't hear a lot,
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3164
之后我们就很少听到相关的信息了
09:22
until you hear about an experiment last year in China,
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直到去年大家听说在中国的一个实验
09:26
where they take skin cells from this mouse,
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实验者从老鼠皮肤上取出细胞
09:30
put four chemicals on it,
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加入四种化学试剂
09:32
turn those skin cells into stem cells,
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将皮肤细胞转变为干细胞
09:35
let the stem cells grow
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让干细胞生长
09:37
and create a full copy of that mouse.
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从而创造了那只老鼠的一个完全复制品
09:40
That's a big deal.
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这非常了不起
09:43
Because in essence
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1016
因为从本质上说
09:44
what it means is you can take a cell,
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这就意味着我们可以取一个
09:46
which is a pluripotent stem cell,
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多能干细胞
09:48
which is like a skier at the top of a mountain,
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好比山顶上的滑雪者
09:51
and those two skiers become two pluripotent stem cells,
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两个滑雪者就是两个多能干细胞
09:55
four, eight, 16,
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分裂成4个,8个,16个
09:57
and then it gets so crowded
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然后变得越来越拥挤
09:58
after 16 divisions
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16次分裂之后
10:00
that those cells have to differentiate.
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这些细胞不得不进行分化
10:03
So they go down one side of the mountain,
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所以一部分从山的这边下来
10:04
they go down another.
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另一部分从那边下来
10:05
And as they pick that,
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那些选择这条路的
10:07
these become bone,
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就形成了骨骼
10:09
and then they pick another road and these become platelets,
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而那些选择了另一条路的就变成了血小板
10:12
and these become macrophages,
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这些变成了巨噬细胞
10:14
and these become T cells.
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这些是T细胞
10:15
But it's really hard, once you ski down,
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但是一旦你滑下去
10:17
to get back up.
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想要重新上山就非常困难了
10:19
Unless, of course, if you have a ski lift.
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除非,当然了,如果你有滑雪缆车就轻松多了
10:24
And what those four chemicals do
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这就是那四种试剂所起的作用
10:27
is they take any cell
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载着任何细胞
10:29
and take it way back up the mountain
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1932
重新回到山顶
10:31
so it can become any body part.
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这样它们就能重新分化成身体的任何部分
10:33
And as you think of that,
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正如大家所想
10:35
what it means is potentially
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1980
这意味着它有
10:37
you can rebuild a full copy
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重建任何身体组织的潜力
10:39
of any organism
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只要通过
10:41
out of any one of its cells.
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任何一个细胞即可
10:43
That turns out to be a big deal
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这是一个重大突破
10:46
because now you can take, not just mouse cells,
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因为现在不仅仅是老鼠细胞
10:48
but you can human skin cells
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2318
我们也可以取人类皮肤细胞
10:51
and turn them into human stem cells.
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将它变成人类干细胞
10:54
And then what they did in October
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3198
10月份
10:57
is they took skin cells, turned them into stem cells
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3400
他们把皮肤细胞变成干细胞
11:01
and began to turn them into liver cells.
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又让干细胞分化成了肝细胞
11:05
So in theory,
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理论上说
11:06
you could grow any organ from any one of your cells.
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5184
我们可以通过任何一个细胞来培养任何一个器官
11:11
Here's a second experiment:
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1718
这是第二个实验
11:12
If you could photocopy your body,
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3133
如果我们能为我们的身体做个复印件
11:16
maybe you also want to take your mind.
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我们就会想也要给思想做一个
11:19
And one of the things you saw at TED
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大约一年半之前
11:20
about a year and a half ago
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我们在TED演讲上
11:21
was this guy.
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见过这位老兄
11:23
And he gave a wonderful technical talk.
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他带来了很精彩的技术演讲
11:26
He's a professor at MIT.
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他是麻省理工大学的教授
11:27
But in essence what he said
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1916
本质上,他说的是
11:29
is you can take retroviruses,
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我们可以利用反转录病毒
11:31
which get inside brain cells of mice.
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2800
进入小鼠的脑细胞
11:34
You can tag them with proteins
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并且用蛋白质标记它们
11:36
that light up when you light them.
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2094
这种蛋白会产生荧光
11:38
And you can map the exact pathways
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3716
当老鼠看到,感觉,触摸到东西
11:42
when a mouse sees, feels, touches,
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回忆,恋爱的时候
11:45
remembers, loves.
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我们就能够测绘出小鼠脑部的信号路径
11:47
And then you can take a fiber optic cable
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这样我们就能用光纤
11:50
and light up some of the same things.
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来模拟成相同的东西
11:54
And by the way, as you do this,
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与此同时
11:55
you can image it in two colors,
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2017
我们还可以把他们制成两种颜色
11:57
which means you can download this information
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这意味着我们可以把这些信息
12:00
as binary code directly into a computer.
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像二进制码一样下载到电脑里
12:05
So what's the bottom line on that?
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这一切的结果是什么呢?
12:07
Well it's not completely inconceivable
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2200
这并不难想象
12:09
that someday you'll be able to download your own memories,
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4495
有一天我们可以把自己的记忆
12:14
maybe into a new body.
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2387
下载到一个新的身体
12:16
And maybe you can upload other people's memories as well.
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5085
或许也可以把别人的记忆下载到自己的身上
12:21
And this might have just one or two
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2514
而这不过会引起一两个
12:24
small ethical, political, moral implications.
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3520
小小的伦理、政治和道德问题而已
12:27
(Laughter)
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1531
(笑声)
12:29
Just a thought.
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2991
随便想想而已
12:32
Here's the kind of questions
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有一些问题
12:33
that are becoming interesting questions
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1980
正在逐渐引起
12:35
for philosophers, for governing people,
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2484
哲学家,政府人员
12:38
for economists, for scientists.
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3366
经济学家,科学家的兴趣
12:41
Because these technologies are moving really quickly.
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3284
因为这些技术发展的非常之快
12:44
And as you think about it,
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就像大家所知的那样
12:46
let me close with an example of the brain.
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3082
让我以一个关于大脑的例子来结束今天的演讲
12:49
The first place where you would expect
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1683
这也是我们认为
12:51
to see enormous evolutionary pressure today,
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3051
承受着巨大的演化压力的部分
12:54
both because of the inputs,
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2265
不仅仅是由于
12:56
which are becoming massive,
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1552
当今人类所接受的巨额信息量
12:58
and because of the plasticity of the organ,
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1782
还因为大脑本身的可塑性
12:59
is the brain.
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2534
这就是大脑
13:02
Do we have any evidence that that is happening?
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3318
那么我们有任何证据表明这种进化确实在发生吗?
13:05
Well let's take a look at something like autism incidence per thousand.
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4731
让我们来看看每千人中孤独症的发生概率
13:10
Here's what it looks like in 2000.
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2502
这是2000年的状况
13:12
Here's what it looks like in 2002,
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这是2002年的状况
13:15
2006, 2008.
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4618
2006年,2008年
13:19
Here's the increase in less than a decade.
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4082
这是在这不到10年间所增加的数量
13:23
And we still don't know why this is happening.
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我们到现在也不知道为什么是这样
13:28
What we do know is, potentially,
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2485
我所知道的是
13:30
the brain is reacting in
307
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2032
大脑在以一种潜在的
13:32
a hyperactive, hyper-plastic way,
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2134
极度活跃的,高度可塑性的方式在反应
13:34
and creating individuals that are like this.
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并且创造出高度敏感,高度活跃的个体
13:37
And this is only one of the conditions that's out there.
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这仅仅是其中的一种情况
13:40
You've also got people with who are extraordinarily smart,
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我们都见过非常聪明的人
13:44
people who can remember everything they've seen in their lives,
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2397
过目不忘的人
13:46
people who've got synesthesia,
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1385
具有交叉感觉的人
13:47
people who've got schizophrenia.
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1331
还有精神分裂的人
13:49
You've got all kinds of stuff going on out there,
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我们见过各种各样的情况
13:51
and we still don't understand
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1218
但我们始终不明白
13:52
how and why this is happening.
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这一切如何,又为什么会发生
13:55
But one question you might want to ask is,
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2682
大家可能想问一个问题
13:57
are we seeing a rapid evolution of the brain
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我们的大脑是否在高速进化?
14:00
and of how we process data?
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当考虑到有多少信息进入大脑时
14:02
Because when you think of how much data's coming into our brains,
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我们会问我们是如何处理信息的?
14:05
we're trying to take in as much data in a day
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3484
现代人每天接受的信息
14:08
as people used to take in in a lifetime.
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2551
相当于过去人们一辈子所接受到的
14:11
And as you're thinking about this,
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2632
现在大家考虑一下
14:14
there's four theories as to why this might be going on,
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2342
现在有四个理论试图解释这个现象
14:16
plus a whole series of others.
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1327
以及一系列的其他理论
14:17
I don't have a good answer.
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1649
我没法给出一个漂亮的答案
14:19
There really needs to be more research on this.
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这方面还需要更进一步的研究
14:22
One option is the fast food fetish.
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2235
一个可能的答案是对于快餐迷恋
14:25
There's beginning to be some evidence
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2449
开始有证据表明
14:27
that obesity and diet
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肥胖和饮食
14:29
have something to do
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与基因修饰(表观遗传学)
14:31
with gene modifications,
333
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1768
有关
14:33
which may or may not have an impact
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2350
目前还不能确定
14:35
on how the brain of an infant works.
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3517
这是否对婴儿大脑的运作有影响
14:39
A second option is the sexy geek option.
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第二种选项是“性感的书呆子”
14:43
These conditions are highly rare.
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4243
这真是很罕见
14:47
(Laughter)
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3038
(笑声)
14:50
(Applause)
339
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5300
(掌声)
14:55
But what's beginning to happen
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1633
现在的情况是
14:57
is because these geeks are all getting together,
341
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2534
这些书呆子们聚在一起
14:59
because they are highly qualified for computer programming
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2897
他们有高超的编程水平
15:02
and it is highly remunerated,
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2318
薪酬也很高
15:05
as well as other very detail-oriented tasks,
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3150
还有其他注重细节的工作
15:08
that they are concentrating geographically
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2449
这些人集中在一起
15:10
and finding like-minded mates.
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2967
都有着类似的思想
15:13
So this is the assortative mating hypothesis
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3568
这就是选择性交配假说
15:17
of these genes reinforcing one another
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2700
这些基因在群体中
15:19
in these structures.
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2117
相互增强
15:22
The third, is this too much information?
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2950
第三,信息是不是太多了?
15:24
We're trying to process so much stuff
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1497
我们的大脑试图处理太多的信息
15:26
that some people get synesthetic
352
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2352
这就造成了某些人产生了交叉感觉(即通感)
15:28
and just have huge pipes that remember everything.
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2600
他们具有巨大的神经网络来记住所有事情
15:31
Other people get hyper-sensitive to the amount of information.
354
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2669
一些人对大量信息过度敏感
15:34
Other people react with various psychological conditions
355
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3982
另一些人对信息作出反应时
15:38
or reactions to this information.
356
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1632
伴随着各种心理上的状况
15:39
Or maybe it's chemicals.
357
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2702
又或许是化学试剂造成的?
15:42
But when you see an increase
358
942400
1765
如果发现
15:44
of that order of magnitude in a condition,
359
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2351
某种情况的数量大幅度提高
15:46
either you're not measuring it right
360
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1565
要么是测量不准确
15:48
or there's something going on very quickly,
361
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2518
要么就是确实有什么事情正在迅速发展
15:50
and it may be evolution in real time.
362
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4032
这说不定就是实时的进化
15:54
Here's the bottom line.
363
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2503
归根结底
15:57
What I think we are doing
364
957134
2181
我认为作为一个物种
15:59
is we're transitioning as a species.
365
959315
1716
我们正在转化
16:01
And I didn't think this when Steve Gullans and I started writing together.
366
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5484
当Steve Gullans和我一起开始写作的时候我想到了这个
16:06
I think we're transitioning into Homo evolutis
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2451
我觉得我们正在向“演化人”转化
16:08
that, for better or worse,
368
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1399
无论是好是坏
16:10
is not just a hominid that's conscious of his or her environment,
369
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4182
这都不仅仅是一个只对周围环境有意识的人种
16:14
it's a hominid that's beginning to directly and deliberately
370
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3219
而是一个直接的、有意的
16:17
control the evolution of its own species,
371
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3198
想要控制
16:20
of bacteria, of plants, of animals.
372
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3834
自己的的种族、细菌、植物乃至其他动物的人种
16:24
And I think that's such an order of magnitude change
373
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2835
我认为这是一个如此巨大的变化
16:27
that your grandkids or your great-grandkids
374
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3103
以至于我们的孙辈或重孙辈
16:30
may be a species very different from you.
375
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3045
可能与我们会是完全不同的物种
16:33
Thank you very much.
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1586
谢谢大家
16:35
(Applause)
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5331
(掌声)
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