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翻译人员: Xiaohong Yi
校对人员: Jenny Yang
00:16
We are drowning in news.
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我们被新闻包围了
00:19
Reuters alone puts out
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路透社一年
00:21
three and a half million news stories a year.
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发布350万新闻故事
00:23
That's just one source.
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这仅仅只是一个发布源
00:26
My question is: How many of those stories
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我的问题是:
00:28
are actually going to matter in the long run?
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这些新闻到底有多少是长期有影响的
00:31
That's the idea behind The Long News.
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这就是“长远新闻”(Long News)的意义
00:34
It's a project by The Long Now Foundation,
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这是由Long Now基金会提出的一个项目
00:36
which was founded by TEDsters including
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基金会由TED成员建立的
00:38
Kevin Kelly and Stewart Brand.
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包括Kevin Kelly 和 Stewart Brand。
00:40
And what we're looking for is news stories that might still matter
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我们试图找出那些仍然会有深远影响的新闻故事
00:42
50 or 100 or 10,000 years from now.
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50, 100或者是一万年以后
00:46
And when you look at the news through that filter,
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我是说新闻进过上述条件过滤后
00:49
a lot falls by the wayside.
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很多都会落在一边
00:52
To take the top stories from the A.P. this last year,
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假设你已经找出去年美联社的头条
00:55
is this going to matter in a decade?
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这些头条在10年里内会有影响?
00:58
Or this?
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或者这个?
01:00
Or this?
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或者这个?
01:03
Really?
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真的会吗?
01:05
Is this going to matter in 50 or 100 years?
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会在50年或者100年内有影响吗
01:09
Okay, that was kind of cool.
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好的,这样就很酷了
01:11
(Laughter)
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(笑)
01:13
But the top story of this past year was the economy,
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但是去年的头条是经济
01:15
and I'm just betting that, sooner or later,
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而且我敢打赌迟早,
01:18
this particular recession is going to be old news.
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这个特殊经济不景气会成为旧闻
01:21
So, what kind of stories might
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那么,什么样的故事
01:23
make a difference for the future?
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可能对未来造成影响?
01:26
Well, let's take science.
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好的,让我们先看看科学
01:29
Someday, little robots will go
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某一天,迷你机器人
01:31
through our bloodstreams fixing things.
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能够在我们血液里面穿梭来修复受损
01:33
That someday is already here if you're a mouse.
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如果你是一个老鼠的这个某一天已经到来,
01:35
Some recent stories:
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几个最新的文章
01:37
nanobees zap tumors with real bee venom;
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纳米峰用真蜂毒液杀死肿瘤
01:40
they're sending genes into the brain;
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他们向人脑里面植入基因
01:43
a robot they built that can crawl through the human body.
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他们造的一个机器人可以在人体里爬行
01:47
What about resources? How are we going to feed nine billion people?
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资源呢?我们该怎么样满足90亿人的需求
01:50
We're having trouble feeding six billion today.
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我们现在连60亿人的肚子都填饱不了
01:53
As we heard yesterday, there's over a billion people hungry.
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昨天我们听到,有超过10人处于饥饿中
01:56
Britain will starve without genetically modified crops.
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没有转基因作物,英国人会挨饿
02:00
Bill Gates, fortunately, has bet a billion on [agricultural] research.
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幸运的是比尔·盖茨投入10亿美元用于抗原研究
02:05
What about global politics?
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那么国际政治方面呢?
02:07
The world's going to be very different when and if China sets the agenda,
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这个世界会很不一样, 如果让中国设置议程
02:10
and they may.
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而他们有可能做到的
02:12
They've overtaken the U.S. as the world's biggest car market,
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他们已经超过美国成为世界上最大的汽车市场
02:15
they've overtaken Germany as the largest exporter,
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他们超过德国成为最大的出口国
02:19
and they've started doing DNA tests on kids
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他们已经开始在儿童身上做DNA测试
02:21
to choose their careers.
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来给他们选择职业
02:24
We're finding all kinds of ways to push back the limits of what we know.
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我们正在寻找各种方法推后我们知道的各种限制
02:27
Some recent discoveries:
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一些最近的发现
02:29
There's an ant colony from Argentina that has now
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有一个阿根廷的蚁群现在传播到了每一个大陆
02:31
spread to every continent but Antarctica;
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除了南极洲
02:35
there's a self-directed robot scientist that's made a discovery --
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有一个自我导向的机器人科学家搞出了一个发明
02:38
soon, science may no longer need us,
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很快,科学可能不再需要我们
02:41
and life may no longer need us either;
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而且生活也不再需要我们
02:43
a microbe wakes up after 120,000 years.
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一个微生物沉睡12万年之后复活
02:46
It seems that with or without us,
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好像有没有我们
02:48
life will go on.
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生命都会继续
02:50
But my pick for the top Long News story of this past year
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但是我选择的去年的“长远新闻”
02:52
was this one: water found on the moon.
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是这一个,月亮上找到了水
02:55
Makes it a lot easier to put a colony up there.
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这使得人类在月亮上建立殖民地简单多了
02:58
And if NASA doesn't do it, China might,
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如果NASA不做这个,也许中国
03:00
or somebody in this room might write a big check.
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或者在做的某些人会签上一个巨额支票
03:03
My point is this:
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我的想表明的观点是
03:05
In the long run, some news stories
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长远来看,某些新闻故事
03:07
are more important than others.
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比其他的一些新闻更重要
03:09
(Applause)
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(鼓掌)
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