Time Is Running Out on Climate Change. The Metaverse Could Help | Cedrik Neike | TED
43,054 views ・ 2023-12-19
请双击下面的英文字幕来播放视频。
翻译人员: Jia Z
校对人员: suya f.
00:07
When I listen to all of this,
my question is, are we too late?
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当我听到所有这些时,
我的问题是,我们为时已晚吗?
00:12
I’m half German, and I hate
being late, to be very honest.
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老实说,我是半个德国人,我讨厌迟到。
00:15
So it's something which gets me
sort of all wound up,
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所以这让我有点紧张,
00:17
but the reality is ...
we’re running out of time.
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但现实是...
我们的时间不多了。
00:23
We have real issues
reaching the 1.5 degrees of Paris,
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我们在实现《巴黎协定》的
1.5 度目标上面临真正的问题,
00:26
so that's one issue.
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所以这是一个问题。
00:27
But we're not only running out of time,
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但是我们不仅时间不多了,
00:29
we are also running out of resources.
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而且资源也不多了。
00:31
So three weeks from now,
on the second of August,
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三周后,即 8 月 2 日,
00:35
we will reach the World Overshoot Day,
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我们将迎来地球生态超载日,
00:38
meaning we will have used up
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这意味着我们将耗尽地球上
00:39
all of the replenishable
resources of this planet.
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所有可补充的资源。
00:43
So that's not good.
These are real problems.
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所以这不好。
这些都是真正的问题。
00:46
Now, I'm an engineer,
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现在,我是一名工程师,
00:48
and we engineers love to solve problems.
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我们的工程师喜欢解决问题。
00:50
That's what we do.
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我们就是做这个的。
00:52
But the reality is,
if we go to the real world,
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但现实是,
如果我们进入现实世界,
00:54
we will not be able
to solve those problems
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我们将无法像以前那样
00:56
doing everything in the real world
as we've done it before.
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在现实世界中做所有事情
来解决这些问题。
00:59
A lot of us, including my kids and myself,
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我们中的许多人,
包括我的孩子们和我自己,
01:03
and a third of the world population,
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以及世界三分之一的人口,
01:04
escape into digital worlds.
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都逃到了数字世界。
01:06
There are three billion gamers out there.
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目前全球有三十亿玩家。
01:08
We "lose" time.
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我们 “失去” 了时间。
01:11
But what if I would tell you ...
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但是如果我告诉你...
01:15
that we could use the digital world
to cheat time in the real world,
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我们可以利用数字世界
来欺骗现实世界中的时间,
01:20
and to make things better and faster
with less resources?
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用更少的资源让事情变得更好、更快?
01:27
You would tell me,
"Well, how does it work, Cedrik?"
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你会问我:
“那么,它是怎么运作的?”
01:29
And I would tell you the following.
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我会告诉你以下几点。
01:31
Now, in the physical world,
the laws of physics apply, right?
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现在,在物理世界中,
物理定律适用,对吧?
01:35
I'm in industry, so what do we do?
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我从事工业工作,那我们该怎么做?
01:37
We dig up the Earth, we get stuff out,
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我们挖地球,把东西取出来,
01:39
we ship it around the world,
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把它运到世界各地,
01:42
we melt it, we assemble it,
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我们融化它,组装它,
01:43
we try if it works, and we try again,
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我们尝试它是否奏效,然后再试一次,
01:46
and if not, we dig up more stuff.
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如果不奏效,我们会挖出更多的东西。
01:47
We basically are having
a trial and error sort of approach.
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我们基本上采用的是反复试验的方法。
01:51
Lots of time, lots of resources
are being used.
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期间,大量的时间和资源被使用。
01:54
It took us more than a hundred years
to build the combustion engine car.
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我们花了一百多年的时间
才制造出内燃机汽车。
01:58
Now in the digital world,
it's a bit different.
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现在在数字世界中,情况有所不同。
02:02
We could have a digital playground,
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我们可以有一个数字游乐场,
02:04
we can learn things without being bound
by the laws of physics.
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我们可以不受物理定律的约束学习东西。
02:09
We can replicate the complete real world
and start experimenting on it.
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我们可以复制完整的现实世界
并开始对其进行实验。
02:14
And the one thing we can [do],
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我们能 [做] 的一件事是,
02:16
is we will not learn one time faster,
not ten times faster.
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我们的学习速度不会快一倍,
也不会快十倍。
02:20
We will learn a million times
faster, even more.
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我们的学习速度将
快一百万倍,甚至更多。
02:24
We're only limited by how much
compute power we throw at a problem.
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我们只受到我们为问题
投入多少计算能力的限制。
02:29
So the thing we have,
how do we make it real?
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那么我们所拥有的东西,
我们如何将其变为现实?
02:33
So how do we cheat time
to do more with less?
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我们如何欺骗时间,
用更少的资源做更多的事情呢?
02:40
We are using all too much fossil fuels.
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我们使用的化石燃料太多。
02:43
We're not using enough renewables,
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我们使用的可再生能源太少,
02:45
and we all know
that batteries are the answer,
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并且我们都知道电池是答案,
02:47
to be able to help us sort of store
and distribute this renewable energy.
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能够帮助我们储存
和分配这种可再生能源。
02:53
Now the problem with batteries
is that there's a lot of investment
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现在,电池的问题在于,
02:57
going into battery
manufacturing at the moment.
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目前有大量投资投入电池制造。
02:59
Since 2019, 300 billion dollars
are being put into batteries,
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自2019年以来,
有3000亿美元投入电池,
03:06
200 gigafactories are being built,
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正在建造200座超级工厂,
03:08
because we need to build
10 billion batteries per year in 2030.
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因为到2030年,
我们每年需要生产100亿个电池。
03:15
And just to give you
an overview of a gigafactory,
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给你一个超级工厂的概览,
03:17
basically, you take two Eiffel Towers,
put them next to each other,
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基本上,你拿两座埃菲尔铁塔,
把它们并排放在一起,
03:20
that's the size of the gigafactory
which is out there.
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就相当于现在的超级工厂的大小。
03:24
Eiffel Tower -- I’m half French,
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埃菲尔铁塔 —— 我是半个法国人,
03:26
so when I want to say
something is really big,
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所以当我想说
某个东西真的很大的时候,
03:28
I take a couple of Eiffel Towers,
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我会拿几座埃菲尔铁塔举例,
03:30
so two Eiffel Towers next to each other.
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所以是两座埃菲尔铁塔放在一起。
03:33
Now imagine 200 of those gigafactories
which are being built.
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现在想象一下正在建造的
200 个超级工厂。
03:38
They need to build the right batteries,
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他们需要制造合适的电池,
03:40
they need to do this in the right way,
and they need to recycle them.
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他们需要以正确的方式制造电池,
并且需要回收利用。
03:44
How can we apply this technology?
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我们怎样才能应用这项技术?
03:46
Very simple.
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非常简单。
03:47
First thing we will do in this,
let's call it an industrial metaverse,
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我们需要做的第一件事,
让我们称之为工业元宇宙,
03:52
we will build the perfect battery.
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我们将制造完美的电池。
03:53
We will experiment with its chemistry,
with how it needs to be built,
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我们将试验它的化学性质,
研究它需要如何建造,
03:57
and we will solve the problems we have.
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我们将解决我们遇到的问题。
04:00
One problem is, I don't know
if any of you came here in an EV,
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一个问题是,我不知道你们当中
是否有人开着电动汽车来到这里,
04:03
you probably didn't like
your charging time.
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你可能不喜欢它的充电时间。
04:06
So I brought a little example for you.
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所以我给你带来一个小例子。
04:08
So let me share this example.
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现在我来分享这个例子。
04:09
So this is basically a module,
which goes into a pack.
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这是一个模块,
它装在一个包里。
04:13
It's actually a car battery.
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它实际上是一块汽车电池。
04:16
If we're capable of cooling
this car battery 30 percent faster ...
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如果我们能够将这辆车
电池的冷却速度加快 30%...
04:23
or better,
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甚至更快,
04:24
you can charge your cars twice as fast.
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你就可以以两倍的速度为汽车充电。
04:27
So we could actually save time
with less resources.
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因此,我们实际上可以
用更少的资源来节省时间。
04:30
And all of this simulation
can be done not in years,
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而且,所有这些模拟
并非在几年内完成,
04:34
it can be done in weeks,
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它可以在几周内完成,
04:35
without building a single battery.
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而无需建造一块电池。
04:37
So that's the first thing.
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所以这是第一件事。
04:39
The second thing is, actually
building batteries the traditional way
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第二件事是,
用传统方式建造电池实际上
04:42
uses a lot of energy,
lots of water, lots of resources,
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会消耗大量能源、
大量水、大量资源,
04:45
and produces lots of scrap.
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并产生大量废料。
04:47
That’s not good.
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那并不好。
04:49
If you go to a traditional --
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如果你选择传统的 ——
04:50
I mean, making batteries
is like making a cake.
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我的意思是,
做电池就像做蛋糕。
04:53
I'm sorry for all of the battery
experts in the room,
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我对房间里所有的电池专家表示歉意,
04:56
but it's baking a cake.
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但这确实像做蛋糕。
04:57
What you do is you take
a lot of ingredients, you mix them up.
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你要做的是把很多材料混在一起。
05:00
In the factory, you have somebody
listening to the sound --
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在工厂里,有人在听声音——
05:03
"Yep, it's about right."
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“是的,差不多了。”
05:04
If it's true, you put it
onto aluminum foil, which gets folded,
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如果是对的,你把它
放在铝箔纸上,折起来,
05:07
which gets put in a casing, dried out.
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再放在外壳里,然后变干。
05:10
The problem is that if the person
listened to it the wrong way,
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问题在于,如果这个人听错了,
05:14
you can throw away five days,
seven days of battery production,
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你可能会浪费五天、七天的电池产量,
05:18
and this, in a gigafactory,
is a really bad thing.
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而这在超级工厂里,
是一件非常糟糕的事情。
05:21
So what do we do?
That's my second example.
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那么我们该怎么做?
这是我的第二个例子。
05:24
We build these gigafactories
completely in the metaverse,
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我们首先在数字世界中、在元宇宙里
05:27
in the digital world, first.
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建造这些超级工厂。
05:28
And we simulate how we do
actually the chemistry,
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然后我们模拟如何进行化学反应,
05:32
how does it flow,
can we get the information?
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它是如何流动的,
我们能得到信息吗?
05:34
We don't need to listen to it.
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我们没必要去听它。
05:36
How do we optimize the different steps?
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我们如何优化不同的步骤?
05:38
This is a gigafactory, for example,
which is going to be built.
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例如,这是一个
即将建设的超级工厂。
05:41
So we build this gigafactory
in the metaverse first,
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因此,我们首先在元宇宙中
建造这个超级工厂,
05:43
to make sure that it produces
in the right way.
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确保它以正确的方式生产。
05:46
And once we have the real factory,
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一旦我们有了真正的工厂,
05:48
the metaverse factory runs in parallel
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元宇宙工厂就会平行运行
05:50
and learns faster than the real
world to learn from it.
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而且从中学习的速度
比现实世界更快。
05:53
So we dream up a better battery,
we make a better battery,
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因此,我们想出更好的电池,
制造出更好的电池,
05:56
and then the last one,
we have to recycle the battery.
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最后一点是,
我们必须回收电池。
05:59
We have to reuse it.
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我们必须重复使用它。
06:01
So I'm hoping that all of you
are collecting your batteries
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因此,我希望你们
所有人都在收集电池,
06:04
to bring them back,
in Germany to the supermarket,
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把它们带回德国的超市,
06:07
for recycling.
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进行回收利用。
06:09
The reality is, if you have
a bag of 20 batteries,
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现实情况是,如果你有一个
装着20块电池的袋子,
06:12
if it’s lithium-ion,
only one will be recycled,
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如果是锂离子电池,
则只有一块会被回收利用,
06:16
19 will be thrown away.
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19块会被扔掉。
06:18
Only five percent of all batteries
are actually being recycled at the moment.
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目前,所有电池中只有
百分之五被回收利用。
06:24
And what we can do
if we have a digital twin
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如果我们有了数字孪生
06:26
on ... designing the battery,
building the battery,
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来设计电池,建造电池,
06:29
is we can have a digital twin
of each battery,
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我们可以为每块电池
建立一个数字孪生,
06:31
saying, "That's me,
this is how I've been built,
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说:“那是我造的,
我就是这样建造的,
06:34
these are my components,
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这些是我的组件,
06:35
this is how you can repair me,
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你可以这样修复我,
06:37
this is how I can be
sort of disassembled,"
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我可以这样被拆卸。”
06:39
and you can automate it.
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然后你可以将它自动化。
06:40
So we can actually take
95 percent or plus of the battery
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这样,我们实际上可以将
95% 或更多的电池
06:45
back into the process.
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带回生产流程。
06:47
Now this battery example
is just to give you a view
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现在,这个电池的例子
只是为了让你了解
06:49
on how we can design,
build and reuse it in a better way.
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我们如何以更好的方式设计、
建造和重复使用它。
06:54
The problem is, I gave
that speech to my kids,
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问题是,当我告诉我的孩子们时,
06:56
and my kids basically said,
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我的孩子们说:
06:58
"Look, Dad, we're computer scientists,
this has been done for the last 40 years.
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“看,老爸,我们是计算机科学家,
在过去的 40 年里,
我们一直在做这件事。
07:01
What's new about it?"
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这有什么新鲜的?”
07:03
So I'm like, "What's new
is that we are now throwing
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我说,“新的是,我们现在用了
07:06
a huge amount of cloud
computing and AI to it,
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大量的云计算和人工智能,
07:09
so every industry
can use this capability."
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因此每个行业都可以使用这种功能。”
07:12
And I'll give you three examples.
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我给你举三个例子。
07:14
First one, air travel.
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第一个,航空旅行。
07:17
Three to four percent of worldwide CO2.
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占全球二氧化碳的百分之三到百分之四。
07:19
We're working with small start-ups
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我们正在与那些完全在元宇宙中
07:21
which are building
completely electrical planes,
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建造全电动飞机的小型初创企业合作,
07:23
completely in the metaverse first,
to build them right.
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以正确的建造它们。
07:27
Second one, so we build better travel,
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第二个,我们构建了更好的出行,
07:29
we can use it for better food, right?
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我们可以用它来获得更好的食物,对吧?
07:32
Twenty-five percent of all CO2
is being used in agriculture.
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所有二氧化碳中有 25% 来自农业。
07:37
So this is an example I brought for you.
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所以这是我为你带来的一个例子。
07:39
We can build gigafactories for food.
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我们可以建造食品超级工厂。
07:41
This is vertical farms,
completely automated.
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这是完全自动化的垂直农场。
07:44
These farms use 100 percent renewables,
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这些农场使用 100%
的可再生能源,
07:46
they use 95 percent
less water, zero pesticides.
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减少了 95% 的用水,零杀虫剂。
07:51
And it tastes, actually, quite good.
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实际上,它的味道相当不错。
07:53
And it's completely automated.
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而且它是完全自动化的。
07:54
What does that have to do
with a digital twin?
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这与数字孪生有什么关系?
07:56
We have a twin of each plant,
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每个植物都有它的孪生,
07:58
which means we can make every day
a perfect day for these plants.
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这意味着我们可以让这些植物的
每一天都成为完美的一天。
08:03
It's pretty good.
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这相当不错。
08:06
Now the last example,
it's going to be shocking to you,
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现在是最后一个例子,
它会让你感到震惊,
08:11
but you should think about it.
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但你应该考虑一下。
08:12
You're spending 90 percent
of your living time in buildings.
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你 90% 的时间都在建筑物里度过。
08:18
In buildings which have been
badly designed,
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这些建筑设计不佳,
08:20
badly built and badly run.
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建造不当、运行不良。
08:24
You heat it when it shouldn't be heated,
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你在不应该加热的时候加热它,
08:26
you cool it when it shouldn't be cooled,
you leave the lights on,
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在它不应该冷却的时候
冷却,你把灯开着,
08:29
so it's a huge waste of resources.
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所以这是对资源的巨大浪费。
08:30
Thirty percent of all energy
goes into buildings.
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百分之三十的能量进入建筑物。
08:33
So we can use those tools
to design houses better,
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因此,我们可以使用这些工具
来更好地设计房屋,
08:35
to simulate what needs to be done
to build them in a better way,
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模拟需要做些什么才能
以更好的方式建造它们,
08:39
so they don't have to be
changed multiple times,
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这样就不必多次更改,
08:41
and to run them.
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就可以运行。
08:43
But being here in Detroit,
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但是,在底特律,
08:44
we can also do it
for complete parts of the city,
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我们也可以为整个城市的做
08:46
which is my last example.
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这就是我的最后一个例子。
08:48
I come from Berlin.
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我来自柏林。
08:50
This is an old industrial
part of this town,
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这是这个城镇的老工业区,
08:52
which we are going to rebuild completely.
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我们将对其进行彻底重建。
08:54
And what we decided
is we're going to rebuild it first
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我们决定首先在元宇宙中
08:57
in the metaverse.
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对其进行重建。
08:58
Because we want to optimize
where the excess heat goes,
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因为我们想优化多余热量的去向,
09:01
where the excess cooling is going,
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多余冷却的去向,
09:03
what happens if the rain falls,
how can we keep it?
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如果下雨了怎么办,
我们怎样才能留住它?
09:06
What does the biosphere look like,
what is the biodiversity,
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生物圈是怎样的,
生物多样性是怎样的,
09:09
can we make it wheelchair-accessible?
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我们可以让它方便轮椅通行吗?
09:11
We optimize it.
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我们对其进行优化。
09:12
So once we've built
this part of Berlin ...
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因此,一旦我们建造了
柏林的这一部分...
09:16
It's going to be really sort of optimized,
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它会得到真正的优化,
09:18
and we will not have made mistakes.
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而且我们不会犯错误。
09:20
We're getting platinum LEED certification
before this thing is even being built.
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在它建成之前,我们就已经
获得了LEED 白金认证。
09:26
So why am I sharing this?
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那我为什么要分享这个呢?
09:29
I told you as a German,
I hate being late, right?
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我告诉过你,作为德国人
我讨厌迟到,对吧?
09:32
But the reality, a lot of the industries
you're working in are late,
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但现实是,你们工作的
许多行业都迟到了,
09:36
are late to do their contribution,
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迟迟没有做出自己的贡献,
09:39
to make sure that we are reaching
the Paris Accords.
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以确保我们达成《巴黎协定》。
09:42
So there's tools
which enable us to cheat time
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现在有可以让我们欺骗时间的工具
09:45
and to do more with less --
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用更少的资源做更多的事情——
09:46
we should use those tools.
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我们应该使用这些工具。
09:48
So my ask of all of you is,
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因此,我对你们所有人的要求是,
09:51
let's use those tools
to make it a better world
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让我们用这些工具
来创造一个更美好的世界
09:54
and have an impact.
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并产生影响。
09:55
Thank you.
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谢谢。
09:56
(Applause)
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(掌声)
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