AI取代工作引发的公众愤怒将远超数据中心
Think people hate AI now? Wait until it takes their jobs
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NEED TO KNOW
必知要点
- Anthropic could raise more than $100b in its IPO slated for late September or early October.
- A draft executive order for a frontier developer self-regulation regime circulated the White House, but has now stalled.
- Investigations into the Hugging Face incident found OpenAI’s agents collaborated as a “collective.”
- Anthropic 计划于9月底或10月初进行首次公开募股,可能筹集超过1000亿美元。
- 一份关于前沿开发者自我监管机制的行政命令草案曾在白宫流传,但目前已被搁置。
- 对Hugging Face事件的调查发现,OpenAI的智能体以“集体”形式协作。
But first…
但首先……
THE BIG STORY
重大新闻
The latest debate over the public’s hatred of data centers has been raging for a couple of weeks now. Is it really all about the environment? Just a general distrust of Big Tech? Or is it, in fact, about data centers themselves?
关于公众对数据中心厌恶的最新争论已持续数周。这真的完全是环境问题吗?还是对大型科技公司的普遍不信任?或者,实际上,是关于数据中心本身?
One of the reasons the intense public antipathy toward data centers prompts so much discourse is that data centers have relatively little material impact on the vast majority of people. And yet, a majority of people do indeed hate them.
公众对数据中心的强烈反感引发如此多讨论的原因之一是,数据中心对绝大多数人的物质影响相对较小。然而,大多数人确实讨厌它们。
But the coming wave of changes wrought by AI will have a stronger, more direct impact on many people’s everyday lives — and in one area they consistently care about more than any other: jobs.
但人工智能带来的下一波变革将对许多人的日常生活产生更强、更直接的影响——尤其是在一个人们始终最为关心的领域:就业。
It was reported this week that Anthropic plans to tell Wall Street that the total addressable market (TAM) for its products is more than $30t — a figure based on all the paid work the company believes its AI models could capture. Work that, for the most part, actual people are currently paid to do.
本周有报道称,Anthropic计划向华尔街表示,其产品的总可寻址市场(TAM)超过30万亿美元——这一数字基于该公司认为其AI模型能够捕获的所有有偿工作。而这些工作,大部分目前是由真实的人有偿完成的。
TAM is an inherently pie-in-the-sky figure designed to impress investors. But even a tiny fraction of that figure starts to have real implications for the labor market.
TAM本质上是一个天马行空的数字,旨在打动投资者。但即使这个数字的极小一部分,也开始对劳动力市场产生实际影响。
We haven’t seen mass unemployment from AI yet. But it seems naive at best to suggest that AI won’t have major implications for the availability of jobs people want to do. OpenAI CEO Sam Altman may have recently said his timelines for transformational AI had been too short, but his reasoning was about how quickly companies and society are adopting AI, not how effective it is.
我们尚未看到AI导致的大规模失业。但如果说AI不会对人们想做的工作的可获得性产生重大影响,这种说法充其量是天真的。OpenAI首席执行官Sam Altman最近可能表示,他对变革性AI的时间表设定过短,但他的理由是关于公司和社会采用AI的速度,而非其有效性。
Anyone who uses AI models with any regularity can see that they are getting good enough at various tasks to already replace some jobs. They, after all, seem perfectly capable of replacing op-ed ghostwriters in the Wall Street Journal.
任何经常使用AI模型的人都能看到,它们在各种任务上已经足够出色,足以替代一些工作。毕竟,它们似乎完全有能力取代《华尔街日报》的专栏代笔人。
Even Bill Gates, in his latest intervention on AI, puts AI’s impact on jobs at the top of the list of challenges he says we aren’t doing enough to address. In a lengthy post on his own website, he wrote that “many jobs will disappear forever,” citing customer support, software engineering and paralegal work as some of the first likely to go.
就连比尔·盖茨在他最近关于人工智能的干预中,也将人工智能对就业的影响列为我们应对不足的挑战之首。在他个人网站上的一篇长文中,他写道“许多工作将永远消失”,并列举了客户支持、软件工程和法律助理作为最可能首先消失的岗位。
Gates repeated his call for taxes on robot labor, and added a proposal to tax token usage. He also included a new plea for reserved roles for humans — jobs that AI simply isn’t allowed to do. But the whole framing doesn’t seem particularly optimistic that any of that, or indeed any adequate response to AI at all, will happen.
盖茨重申了他对机器人劳动力征税的呼吁,并增加了一项对代币使用征税的提议。他还新提出为人类保留特定角色的请求——即人工智能根本不被允许从事的工作。但整个框架似乎并不特别乐观,认为这些措施或任何对人工智能的充分应对会真正实现。
“I don’t see evidence that leaders, experts, and communities are confronting the challenges adequately,” he wrote. “There is no plan to ease the entry into the AI era.”
他写道:“我没有看到证据表明领导人、专家和社区正在充分应对这些挑战。没有计划来缓解进入人工智能时代的过渡。”
So far, most industry proposals for what, exactly, can be done about AI’s economic impact on workers have been vague allusions to a universal basic income, or giving the (US) public stakes in companies, or a world of abundance so great that having an income won’t be necessary. But the hurt is going to be felt in the job market long before any of those options are seriously on the table, if they ever are.
到目前为止,业界对于如何应对人工智能对工人经济影响的具体提议,大多含糊其辞,提及全民基本收入、给予(美国)公众公司股份,或者一个富足到无需收入的世界。但在这些选项被认真考虑之前(如果它们真会被考虑的话),就业市场早已感受到冲击。
The truth is that if preparations for this aren’t made soon — if some way to take the sting out of having careers upended and job opportunities eliminated isn’t found — then the vitriol directed at data centers will be merely a taster.
事实是,如果不及早为此做准备——如果找不到某种方法来减轻职业被颠覆和就业机会被消除的痛苦——那么针对数据中心的尖刻批评仅仅是个开始。
“It’s the economy, stupid,” has been an enduring catchphrase for a reason, and it’s not about a record Dow. People care very much about their personal material circumstances. When those are directly affected by AI, and the blame is put at the feet of the companies that produce it, it will be challenging to find many people who aren’t deeply, deeply angry at much more than data centers.
“关键在于经济,笨蛋”这句名言经久不衰是有原因的,它并非指道琼斯指数创纪录。人们非常关心自己的物质生活状况。当这些直接受到人工智能影响,且责任被归咎于生产它的公司时,很难找到不深深愤怒的人,而且这种愤怒远不止针对数据中心。
— Jasper Jackson
—— 贾斯珀·杰克逊
THIS WEEK ON TRANSFORMER
本周《变压器》
- We’re sleepwalking into an AI surveillance dystopia — James Ball lays out how the technology needed for industrial-scale observation already exists
- The report into OpenAI’s escaping models reveals a deeper problem — Jasper Jackson and Celia Ford on the problems with the Hugging Face incident investigation
- 我们正梦游般步入人工智能监控的反乌托邦——詹姆斯·鲍尔阐述了工业规模监控所需的技术已经存在
- 关于OpenAI逃逸模型的报告揭示了更深层的问题——贾斯珀·杰克逊和西莉亚·福特谈Hugging Face事件调查中的问题
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THE DISCOURSE
讨论
Bill Gates has entered the chat:
比尔·盖茨加入了对话:
- “AI will either be the greatest equalizer ever invented, or the worst source of injustice … Even under the best circumstances, the transition to this new AI era will be one of the most turbulent times in human history.”
- “Millions of people will have their lives disrupted, and we’ll need a stronger, more flexible social safety net to help them manage the transition … None of our current institutions were designed to handle a technology that spreads so fast and touches so many parts of our lives. So we’ll need to make new ones.”
- “My message to leaders is: You have a chance to act now, before unemployment rises sharply, communities are hurting, and public trust has eroded.”
- “人工智能要么成为有史以来最伟大的均衡器,要么成为最严重的不公之源……即使在最好的情况下,向这个新人工智能时代的过渡也将是人类历史上最动荡的时期之一。”
- “数百万人将面临生活被打乱,我们需要一个更强大、更灵活的社会安全网来帮助他们应对这一转变……我们现有的任何制度都不是为应对传播如此迅速、触及我们生活如此多方面的技术而设计的。因此,我们需要建立新的制度。”
- “我要对领导者们说的是:你们有机会现在就采取行动,在失业率急剧上升、社区遭受重创、公众信任被侵蚀之前。”
Tyler Austin Harper tweeted:
泰勒·奥斯汀·哈珀在推特上写道:
- “One reason I am reflexively skeptical of the AI industry’s claims is that the very people we are supposed to hail as geniuses also completely failed to anticipate that branding their antichrist box the Best-Case-Mass-Layoffs-Worst-Cas[e]-Extinction Machine was a non-savvy PR move.”
- “我对人工智能行业的说法本能地持怀疑态度的原因之一是,那些我们本应尊为天才的人,也完全没有预料到,把他们那反基督的盒子命名为‘最佳情况-大规模裁员-最坏情况-灭绝机器’是一个不明智的公关举动。”
Sam Altman thinks that, yeah, the AI industry should ease up on the doom:
山姆·奥特曼认为,是的,人工智能行业应该减少对末日的渲染:
- “A lot of the people building AI have been off saying there’s a 25% chance we’re going to destroy the world — and yeah, we’re going to race ahead to do it because otherwise those bad guys will do it first … We have not, as a field, done a very good job of explaining to people what the benefits are and how the downsides can be mitigated.”
- “很多从事人工智能开发的人一直在说,我们有25%的可能性会毁灭世界——而且,是的,我们会继续加速去做,因为否则那些坏人会先做……作为一个领域,我们在向人们解释好处是什么以及如何减轻负面影响方面,做得并不好。”
Dean Ball instead decided to attack Social Security:
迪恩·鲍尔反而决定攻击社会保障制度:
- “The main thing I have to say to the young generation of Americans is that your grandparents and great-grandparents committed a kind of accounting fraud when they ran our country a century ago with social security … It is best to consider this with as minimal residue of sentiment as possible, to really sit with it, to stare it coldly in the face. Unwinding the great fraud of the high modernists is your job, whether you wish it to be or not.”
- “我要对美国年轻一代说的主要事情是,你们的祖父母和曾祖父母在一个世纪前管理我们国家时,通过社会保障制度犯下了一种会计欺诈……最好尽可能不带任何感情色彩地看待这个问题,真正坐下来,冷静地直面它。解开高级现代主义者的巨大骗局是你们的工作,无论你们是否愿意。”
Matthew Yglesias noted:
马修·伊格莱西亚斯指出:
- “This nuclear strength attack on Social Security seems really at odds with most of OpenAI’s public communication about AI’s impact on growth and the labor market.”
- “这种对社会保障制度的核弹级攻击,似乎与OpenAI关于人工智能对增长和劳动力市场影响的大部分公开沟通内容非常不一致。”
Richard Ngo, who left OpenAI in 2024, addressed those who didn’t:
理查德·恩戈于2024年离开OpenAI,他对那些没有离开的人说:
- “By this point almost everyone working at OpenAI or Anthropic (except perhaps a dozen executives) should be viewed as cogs letting themselves be turned by ideological forces. When you’re in proximity to that much power, one of your main moral duties is not to be a cog.”
- “You don’t need to stay to gain influence, because you’re almost definitely too scared to wield that influence in ways that matter … Everyone involved has locked themselves into a mindset where they’re incapable of making real choices, except for how fast to barrel down the train tracks that their fear has laid out for them.”
- “到了这个时候,几乎所有在OpenAI或Anthropic工作的人(也许除了十几个高管之外)都应该被视为被意识形态力量驱使的齿轮。当你接近如此大的权力时,你的主要道德责任之一就是不要做一个齿轮。”
- “你无需留下就能获得影响力,因为你几乎肯定害怕以有意义的方式行使这种影响力……每个参与者都已将自己锁定在一种心态中,除了沿着恐惧铺设的铁轨全速前进的速度外,他们无法做出真正的选择。”
Daniel Kokotajlo thinks it’s more like:
丹尼尔·科科塔伊洛认为更像这样:
- “These companies are rationalizing why they need to win, and will continue to do so even as it becomes increasingly obvious that their actions are endangering everybody in pursuit of a power grab.”
- “这些公司正在合理化他们为何需要获胜,并且即使他们的行为在追求权力争夺中日益明显地危及所有人,他们仍将继续这样做。”
POLICY
政策
- Trump administration officials reportedly circulated a draft executive order to create an organization overseeing a system of self-regulation for frontier AI companies, but attempts to get buy-in from senior officials and the president have stalled.
- 据报道,特朗普政府官员传阅了一份行政命令草案,旨在创建一个监督前沿AI公司自我监管体系的组织,但争取高级官员和总统支持的努力已停滞不前。
更进一步:量化金融体系
看懂新闻只是起点——沿量化金融路径,把它变成能交付的工程能力