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LSE IQ: is AI destroying the planet?

0:00
大家好,我是来自《对话》的杰玛·韦尔。《对话周刊》将在八月份的接下来几周休息。
Hi everyone, it's Gemma Ware here from The Conversation. The Conversation Weekly is on a break for the next few weeks in August,
0:07
但我们很高兴能够为您带来最近一期的播客《LSEIQ》,
but we're really pleased to be able to bring you a recent episode of the podcast LSEIQ
0:13
它提出了一个问题:人工智能是否正在毁灭地球?
that asks the question, is AI destroying the planet?
0:17
《LSEIQ》是一个获奖的每月社会科学播客,由伦敦政治经济学院的团队制作。
LSEIQ is an award-winning monthly social science podcast produced by a team from the London School of Economics and Political Science.
0:26
每一期,他们会请领先的社会科学家和其他专家
Each episode, they ask leading social scientists and other experts
0:29
回答一个智能问题,并与受相关问题影响的人交谈,比如人工智能。
to answer one intelligent question and speak to people affected by the issues explored, like artificial intelligence.
0:36
人工智能正在改变我们周围的世界,提高生产力,并承诺解决全球变暖等难题。
AI is transforming the world around us, offering increased productivity and promising to tackle difficult problems like global warming.
0:43
但在幕后,它的环境成本正在增加。
But behind the scenes, its environmental costs are mounting.
0:48
从巨大的能源消耗到冷却数据中心所需的大量水,人工智能的足迹正在迅速扩大。
From massive energy use to the vast quantities of water required to cool data centers, AI's footprint is growing fast.
0:57
在水资源稀缺和气候危机的时代,我们能否为这场技术繁荣辩护?
So in an age of water scarcity and climate crisis, can we justify this technological boom?
1:04
在这期《LSEIQ》中,首次播出于五月初,制片人安娜·贝文探讨了,人工智能是否正在毁灭地球?
In this episode of LSEIQ, which first aired in early May, producer Anna Bevan explores, is AI destroying the planet?
1:17
所以我在我的笔记本电脑上打开了聊天GPT,
so i'm opening up chat gpt on my laptop and
1:21
它问我可以帮我什么,我将要
it's asking me what can i help with i'm going
1:24
输入多少水
to type how much water does
1:30
聊天GPT使用可以
chat gpt use okay
1:32
它说它在思考,它在搜索网络,这里是每次聊天GPT互动的估计,建议它可能使用大约500毫升的水。
it says it's thinking it's searching the web here's what it says for each chat gpt interaction estimates suggest that it could use around 500 milliliters of water.
1:43
哦哇,所以我基本上只是倒掉了相当于一小瓶水的量来找到那个问题的答案。
Oh wow, so I basically just poured away the equivalent of a small bottle of water to find out the answer to that one question.
1:50
如果我每周只使用一次ChatGPT,一整年下来,那就相当于倒掉27升水。
And if I was to use ChatGPT just once a week for a whole year, that would be like pouring away 27 liters of water.
1:59
这就像把你的厨房水槽装满到顶部,然后拔掉塞子。
That's the same as filling your kitchen sink right to the top and then pulling the plug.
2:04
人工智能正在改变我们周围的世界,提供更高的生产力,并承诺帮助解决全球变暖等困难问题。
Artificial intelligence is transforming the world around us, offering increased productivity and promising to help tackle difficult problems like global warming.
2:13
但是当我们被警告气候变化正在加剧水资源短缺时
But when we're being warned that climate change is exacerbating water scarcity
2:18
并被告知我们都需要减少我们的碳足迹时,人工智能的快速增长对环境构成了巨大挑战。
and told that we all need to reduce our carbon footprint, the rapid growth of AI poses a big challenge to the environment.
2:24
这是一种人工智能可持续性悖论。欢迎来到LSEIQ,
It's an AI sustainability paradox. Welcome to LSEIQ,
2:33
这是一个播客,我们邀请社会科学家和其他专家回答一个智能问题。
the podcast where we ask social scientists and other experts to answer one intelligent question.
2:39
我是来自IQ团队的安娜·贝凡。我们与学术界合作,为您带来他们最新的研究和想法,
I'm Anna Bevan from the IQ team. We work with academics to bring you their latest research and ideas,
2:45
并与受到我们探讨的问题影响的人交谈。在这一集中,我在问,人工智能是在摧毁地球吗?
and talk to people affected by the issues we explore. In this episode I'm asking, is AI destroying the planet?
2:53
我发现数据中心使用了多少水,讨论爱尔兰女神与节能有什么关系,
I find out just how much water data centres use, discuss what an Irish goddess has to do with energy conservation,
3:00
并了解人工智能如何帮助抓捕塞伦盖提的偷猎者。
and learn how AI can help catch poachers in the Serengeti.
3:04
但首先我前往斯劳,位于伦敦市中心以外约20英里处,
But first I travel to Slough, about 20 miles outside of central London
3:10
以了解数据中心是如何工作的。下一站是斯劳。
to find out exactly how data centres work. The next station is Slough.
3:16
所以我现在在斯劳。这里不是最华丽的地方。
So here I am in Slough. It's not the most glamorous of locations.
3:20
曾因提供瑞奇·热维斯的情景喜剧《办公室》的背景而闻名,现在这里是欧洲最大的 数据中心中心。
Once famed for providing the backdrop to Ricky Gervais' sitcom The Office, it's now home to Europe's largest data centre hub.
3:28
这些是为互联网的大部分提供动力的中心。所以几乎你手机或电脑上的所有内容都存储在斯劳交易园区。
These are the hubs that power huge chunks of the internet. So there's a good chance that pretty much everything on your phone or your computer is stored here on Slough Trading Estate.
3:37
我们有大型云服务提供商在这里,比如谷歌、微软和亚马逊。这是拉杰·乌比。
We have the big kind of cloud providers with us, so your Googles and your Microsoft and your Amazons. That's Raj Ubi.
3:44
他在Equinix工作,这是世界上最大的 数据中心公司之一。
He works at Equinix, one of the biggest data centre companies in the world.
3:49
它在全球有268个数据中心,97%的互联网流量通过其数据中心流动。
It has 268 data centres across the globe and 97% of all internet traffic flows through one of its data centres.
3:57
所以它非常庞大。拉杰正在带我参观Equinix斯劳园区的一栋建筑,叫做LD6。
So it's huge. Raj is giving me a tour of one of the buildings on Equinix's Slough campus, called LD6.
4:04
现在正在发生什么类型的连接?你能想到的所有东西。
And what type of connections are happening right now? Everything and anything you can think of.
4:10
所以,你知道,甚至像你的互联网连接这样的简单东西,可能会通过这里,最有可能是的。我的就是。
So, you know, even simple stuff like your internet connection that could possibly run through here, most likely does. Mine does.
4:16
我就住在附近,所以我的确是这样。一直到特斯拉如何与他们的汽车连接,
I only live around the corner, so mine definitely does. All the way up to how Teslas connect to their cars,
4:23
你的冰箱如何连接,如果你有那种高级的,电视如何工作,银行,任何你能想到的,国防部,你知道,所有这些都通过像我们这样的数据中心运行。
how your fridge connects to, if you've got one of those fancy ones, how your TV works, your banks, anything you think of, Ministry of Defence, you know, it's all running through data centres like ours.
4:35
而我们是最大的,所以我们有最多的人通过我们的数据中心。那你们为什么在斯劳呢?
And we're the biggest, so we have the most people going through our data centres. And how come you're based in Slough?
4:41
所以LD4是我们这里最久的 数据中心。主要原因之一是有一条海底电缆通往,
So LD4 is our longest standing data centre here. And one of the main reasons is there is an undersea cable going to,
4:49
我相信是美国的纽约。所以它沿着M4公路运行,这个数据中心正好位于那里。
I believe it's New York in America. So it runs along the M4 and this data centre is right placed right there.
4:55
所以基本上所有的交易平台和银行都聚集在那个区域。
So basically all of the trading platforms and banks huddled into that area.

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