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Jasmine Sun on What the AI Industry Got Wrong About the Public Backlash | Odd Lots

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This is a free idea to anyone in Hollywood, but I really think someone needs to come up with a TV series where it's like a giant data center being built in a really small town, and the dynamic between, like the influx of all the contractors. Oh yeah, I want to have some interesting story lines. Sorry. Oh, yeah. I mean, just not exactly what you're talking about, but my friends and I who went on the trip, we all watched Eddington before we went over to look at him, and I didn't know what kind of movie it was.

这对好莱坞的任何人来说都是一个免费的想法,但我真的认为需要有人构思一部电视剧,讲述在一个非常小的城镇建造一个巨大的数据中心的故事,以及随之而来的各种承包商涌入所带来的动态关系。哦,对了,我希望有一些有趣的故事情节。抱歉。哦,是的。我的意思是,虽然不完全像你所说的那样,但我和朋友们在去参观之前都看了《埃丁顿》,而我不知道那是一部什么样的电影。

I just knew was like kind of about a data center. And I was just like, you know, shooting each other up. And I'm like, oh God, is this what you to see? Yeah. I was thinking something a little bit more lighthearted, but, you know, you never know what direction it could go in. Hello and welcome to another episode of the Odd Lots podcast. I'm Tracy Alloway and I'm Joe Weisenthal. Joe, there are a lot of interesting angles when it comes to AI.

我只知道它大致是关于数据中心的。而且我当时想,你知道,互相射击之类的。然后我想,天哪,这就是你想看的吗?是的。我在想一些更轻松一点的东西,但你知道,你永远不知道它会走向哪个方向。大家好,欢迎收听另一期 Odd Lots 播客节目。我是特蕾西·阿洛韦,我是乔·魏森塔尔。乔,在人工智能方面有很多有趣的视角。

Yeah, you think so? Yeah, just to put it mildly. But one of the most interesting things, I think, is that we think about it as this, like ephemeral digital technology. Yeah. You know, in some sense, it's like the sass of yore. That's right. There's a window that you open on your browser and type stuff into the internet, and the internet spits stuff out at you. Hopefully not literally. But there is also this very physical component to AI because it involves huge amounts of power, huge amounts of things like memory chips, and of course, put those two things together, huge numbers of data centers.

是吗?你觉得是这样吗?嗯,这么说算是轻描淡写了。但我觉得最有趣的一点是,我们通常把它视为一种 ephemeral(短暂易逝)的数字技术。是的。从某种意义上说,它就像过去的 SaaS(软件即服务)。没错。你在浏览器上打开一个窗口,把东西输入到互联网中,互联网就会把东西吐出来给你。希望不是字面意义上的那样。但人工智能也有非常物理化的组成部分,因为它涉及大量的电力、大量的内存芯片等,当然,把这些结合起来就是海量的数据中心。

Now this is being like what is sort of fundamentally different about this, at least from a market perspective. Yeah, right. Which is that when we had the sass boom of the prior decade, etc., like by and large, the successful companies, were not they didn't need to go into debt to build their garage or whatever. They were like building data centers and but like, they were not so computationally, they were not so massive that it was like they had to borrow money.

现在这就像是……这在市场角度来看有什么根本的不同呢?是的,没错。也就是说,当我们经历上一十年的 SaaS 繁荣时期时,大体上,成功的公司并不需要为了建造他们的车库或其他设施而负债累累。他们是在建造数据中心,但它们并没有大到需要借钱的地步。

They funded them from free cash flow quite easily. The companies building on top of that, they just plug into there. There was always availability on an Amazon cloud or it's not like some compute scarcity. You're not like using slack. One day and then it's like, oh, your four hour window is up. It will reset in a few hours. Like, yes, we are there. Physical constraints. Did the air build out, which basically in the history of the internet is totally novel, right.

它们很容易通过自由现金流来资助这些项目。在此基础上构建的公司只需接入即可。亚马逊云等资源总是可用的,并不存在计算稀缺的情况。你不会像使用 Slack 那样,有一天突然说,哦,你的四小时窗口时间到了,几小时后才会重置。是的,我们确实面临着物理约束。这种建设规模在互联网历史上是完全新颖的,对吧。

And I think that's really emerging as in many ways the prime constraint because yeah, it feels like investors still are very happy to more or less fling money at the hyperscalers, at data center projects, at all of those things. There's no capital shortage, right? There's no capital shortage. What there is is a shortage of, again, power, land, regulatory and political approvals for actually building these things. Totally.

我认为这确实正成为许多方面的主要制约因素,因为是的,感觉投资者仍然非常乐意或多或少地把资金抛向超大规模云服务商、数据中心项目以及所有这些领域。资本并不短缺,对吧?没有资本短缺的问题。真正短缺的是电力、土地,以及实际建设这些设施所需的监管和政治审批。完全正确。

And, you know, this is like such a big country that it's like I always think like, yeah, data centers are great. I just like put them out in the middle of nowhere. And then I'm like, oh, that's literally NIMBYism, right? It's like, that's literally what everybody like, everybody has that thought, oh, there must just be somewhere out in the middle of nowhere to put it. But hey, it's going to be, in theory, near somewhere.

而且,你知道的,这是一个如此庞大的国家,以至于我常想,是啊,数据中心很棒。我就把它们建在荒无人烟的地方好了。然后我又意识到,哦,这简直就是典型的邻避主义(NIMBYism),对吧?就像每个人都会有的想法:肯定有个荒无人烟的地方可以把它建在那里。但话说回来,理论上它还是会靠近某个地方。

And if we could just solve all of our issues by putting everything in the middle of nowhere, there wouldn't be an issue. There are reasons why they're located where they are. They have to be ideally an axis near some sort of power infrastructure, some water infrastructure. These are things that also attract people. It's not hard to imagine that the middle of nowhere might not have a lot of energy. And water. Yeah, right.

如果我们只需把一切都建在荒无人烟的地方就能解决所有问题,那也就不会有问题了。它们之所以位于现址是有原因的。理想情况下,它们需要靠近某种电力基础设施或水利基础设施的轴线。而这些设施也会吸引人群。不难想象,荒无人烟的地方可能并没有充足的能源和水资源。没错,正是如此。

Exactly. Otherwise there would be a bunch of people there, right? The other interesting thing about data centers and AI is that it's become one of the very few bipartisan issues, I think, in America. And you have people both on the left and the right now who are saying that they don't like data centers, they don't want the data centers in their backyard. We interviewed Kathy Hochul, the governor, about her moratorium on building new data centers.

没错。否则那里早就有一堆人了,对吧?关于数据中心和人工智能的另一个有趣之处在于,我认为它已成为美国极少数两党共识议题之一。现在,无论是左派还是右派都有人表示不喜欢数据中心,不希望数据中心建在他们自家后院。我们就新数据中心建设的暂停令采访了州长凯西·霍赫尔(Kathy Hochul)。

So there seems to be a lot of, let's say, feelings when it comes to data centers. And, you know, it did not get as much attention as Kathy Hochul, I imagine, because she's a Democrat. But Texas Governor Greg Abbott, just in the last few days, also announcing, curbs on the state. People were a little quieter about that one. That has some reasons why maybe it didn't map to people's view of Texas is a state that's just open for business in a way that big blue states aren't.

因此,看来人们对数据中心有很多情绪化的反应。而且,我知道,这可能没有像凯西·霍赫尔那样引起那么多关注,我想是因为她是民主党人。但在过去几天里,德克萨斯州州长格雷格·阿博特(Greg Abbott)也宣布了对该州的限制措施。人们对此的反应则相对安静一些。这或许有一些原因,比如这与人们认为德克萨斯州是一个对商业持开放态度的州这一看法不符,而那种态度在大蓝州中并不常见。

But it's a as you say, it's bipartisan. And then I'd say like one other thing that I think is interesting about it is like AI in general. So we know the data center controversy, but I in general is sort of like riven with anxiety on multiple levels. Obviously, for years people have been talking about, you know, mass job laws. Lately we've been talking on the podcast about, you know, what people called like X risk and stuff like that, like truly rogue AI.

但正如你所说,这是两党共识。另外我还想说一件我觉得有趣的事,那就是人工智能本身。我们知道数据中心引发的争议,但总体而言,AI 在多个层面上都伴随着焦虑。显然,多年来人们一直在谈论大规模失业的问题。最近我们在播客上讨论过人们所谓的 X 风险之类的事情,比如真正失控的 AI。

And in my mind, I feel like, the people inside the labs are very anxious about those other two, these sort of like effects on society. And, you know, again, literal like safety issues. What are they going to be responsible if everyone loses a job, etc.? But on the ground, it does not feel like those things are the thing are the fears, even though I'm, you know, anxious like, that are really like driving the polit, the backlash politics.

在我看来,实验室内部的人对这些社会影响以及字面意义上的安全问题感到非常焦虑。如果每个人都失业了,他们要承担什么责任等等?但在基层,这些似乎并不是主要的恐惧来源,尽管我确实感到焦虑,而这些焦虑才是真正推动政治反弹的力量。

If I could sum it all up, it feels very much like data centers are the physical manifestation of a new technology that is in some ways very hard to sell to America. Right? Like, here's this thing that is not only going to take your job, but like, maybe it'll kill you too. Well, I was going to say you don't like data centers because you're worried about the noise complaints. I don't like data centers because I'm worried they're going to kill me.

如果让我总结一下,感觉数据中心是某种新技术的物理体现,而这种技术在某种程度上很难向美国推销。对吧?就像,这东西不仅会抢走你的工作,甚至可能还会害死你。嗯,我本来想说是因为噪音投诉让你不喜欢数据中心。而我不喜欢数据中心是因为我担心它会害死我。

We are not the same. We are not the same. All right. Well, that is the perfect way to put it. And we have the perfect guest to try to talk through all of these, various things. We're going to be speaking once again with Jasmine Sun. She is an independent writer covering AI and Silicon Valley culture, and she just published an amazing piece of reporting called No Data Centers in My Backyard on her Substack. So, Jasmine, thank you so much for coming back on Odd Lots.

我们不一样。我们真的不一样。好吧,那句话说得真到位。我们请到了完美的嘉宾来深入探讨这些种种问题。我们将再次邀请 Jasmine Sun 做客。她是一位独立记者,报道人工智能和硅谷文化,她最近在 Substack 上发表了一篇精彩的报道,题为《别在我家后院建数据中心》。Jasmine,非常感谢你再次来到 Odd Lots 节目。

I’m so excited to be here again. So congrats on the piece. We were saying earlier, it it kind of sounds fun just to hop in a car with a few friends and research assistants and go on a road trip through middle America looking at data center sites. Yeah, I mean, it was fun. I was trying to decide where in the country I wanted to go to do this data center road trip. I remember this was the last question I asked Claude Fable before he was taken away from me for several days.

我很高兴能再次来到这里。恭喜你的那篇文章。我们之前说过,开着车,带上几个朋友和研究助理,去美国中部进行一场考察数据中心选址的公路旅行,听起来挺有趣的。是的,这确实很有趣。我当时正在纠结要去美国的哪个地方进行这次数据中心公路之旅。我记得这是我问 Claude Fable 的最后一个问题,然后他被带走禁言了好几天。

Oh yeah. And so it was either going to be Michigan, Wisconsin, which is where I ended up going, or it was going to be Texas, or maybe the southeast, like Memphis, etc.. And to be entirely honest, part of the reason I ended up doing Michigan, Wisconsin in the Upper Midwest is because it sounded a lot more pleasant to spend July by Great Lakes than it did driving across the Texas desert. I'm sorry, Greg Abbott no, I think that's a totally good reason.

哦,是的。所以最终要么去密歇根,要么去威斯康星——我最后确实去了那里;要么去德克萨斯,或者可能是东南部,比如孟菲斯之类的。完全坦诚地说,我最终选择密歇根和威斯康星(位于美国中西部北部)的一个原因是,在七月待在五大湖地区听起来比穿越德克萨斯沙漠要惬意得多。抱歉,格雷格·阿博特,不,我觉得这绝对是个好理由。

The Midwest, the Upper Midwest is absolutely lovely this time of year. It's beautiful and there's lakes and all of that stuff. When we think about data center activity, I do tend to think more, I guess still in my head. But Northern Virginia, there can't be that much space left out there. I do think a fair amount about Texas, in part because of sort of like the Elon versus, etc., and how much tech activity is happening there.

每年这个时候,中西部和中西部北部都非常宜人。那里风景优美,湖泊众多,诸如此类。当我们考虑数据中心活动时,我倾向于更多地思考——我想在我脑海里仍然是——北弗吉尼亚,那里剩下的空间可能不多了。我也相当关注德克萨斯州,部分原因是因为像埃隆(马斯克)那样的因素,以及那里正在发生多少科技活动。

I probably do think a little bit about the southeast. How active, though, is that area, like how much inter

我可能也会稍微考虑一下东南部。不过,那个区域有多活跃呢?比如有多少互联

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