话题与观点

AI与经济

关于AI部署、经济发展以及工作组织方式变化的访谈观点。

1 位人物 · 1 个来源 · 2 条观点

内容更新于:

话题观点地图

按人物探索:选择两到三位进行对比。

1 位人物 · 1 个来源 · 2 条观点

Anton Leicht

经济部署滞后于当前模型能力

安东·莱希特认同当前AI能力向经济的部署大幅滞后于这些能力本身。他提出,如果将现有的西方算力转向推理,其生产性用途可以证明迄今在前沿模型和芯片上的投资是合理的。

支持这项说法

原始摘录

we have a big lag in terms of deploying even the current level of capabilities to the economy. And I think if we switched all the compute that exists in the West right now to only inference, we'd find economic, productive applications for all the models that would allow us to justify the investment on all the frontier models

翻译 · 非原文措辞

我们在将当前水平的能力部署到经济中的过程中存在很大的滞后。我认为,如果我们把西方现有的全部算力都切换到只做推理,我们会为所有这些模型找到具备经济与生产价值的应用场景,从而让我们能够证明对所有前沿模型的投资是合理的。

安东·莱希特谈AI部署、经济颠覆与风险
上下文

那么股市呢?我想就此再追问一点。我目前的理论是,暂停实际上对股市未必有那么糟,因为模型已经足够聪明,真正制约需求的不是它们的能力,而是人类有效部署它们的能力。所以它们在千禧年大奖难题上的成功率是10%还是30%其实并不重要——更关键的是,会计部门的Bob能做什么,才能一个人完成两个人的工作量?你怎么看?我认为相关公司的估值——无论是未上市公司,还是AI供应链中的上市公司——很可能建立在我们能做到远超于此的预期之上。它们或许并未完全陷入AGI狂热,但我确实认为,其估值所预期的每GPU推理价格(或不管那是什么),远高于让会计部门的Bob为Fable 5.1付费所合理的价格。如果你想合理解释这些估值,如果你想合理解释建设的规模、你所预期的合同形态和需求形态,那它更像是与制药和材料科学等领域签订数百万乃至数千万美元的研发加速合同,在这些领域AI能做出重大贡献并帮助你发现极其有利可图的新药——诸如此类。你可能还预期会有进一步的内部效能提升,以及真正具备市场竞争力的自动化AI研发用途——能够索要高得多的价格的编程智能体。

原始上下文

How about the stock market? I wanted to do one follow-up on that. My theory right now is that a pause wouldn't actually be that bad for the stock market, because the models are smart enough that demand isn't really limited by their capability, but by human ability to deploy them effectively. So it doesn't really matter if they succeed 10% of the time or 30% of the time on Millennium Prize problems — it's much more like, what can Bob in accounting do to get two people's worth of work done as one person? What do you think? I think the valuations of the companies — both the non-IPO companies and the publicly listed companies that are in the AI supply chain — probably rest on us doing more than that. They're probably not entirely AGI-pilled, but I do think they expect a per-GPU inference price, or whatever that is, that's a lot higher than what would make sense for Bob from accounting to pay for even Fable 5.1. If you want to make sense of the valuations, and if you want to make sense of the scale of the build-out, the shape of contract and the shape of demand you're expecting is more like millions and millions of dollars in R&D acceleration contracts with pharma and material science and so on, where they can make major contributions and help you find extremely profitable new drugs — that kind of thing. You're probably also expecting further internal uplift and actually competitively priced automated AI R&D uses — coding agents that are able to ask for much, much higher prices.

时间点来自所提供的转录稿,尚待媒体回放核对。

分享观点验证此主张

先进AI可能挑战经济追赶机制

安东·莱希特认为,近几十年来中低收入国家所使用的许多经济追赶机制,与一个拥有先进AI和日益自动化制造业的世界严重不相容。

支持这项说法

原始摘录

fundamentally, a lot of the catch-up mechanisms that lower-middle-income countries, in very general terms, have used and enjoyed and been able to leverage over the last few decades are just deeply incompatible with a world that has both very advanced AI systems and, downstream of that, ultimately much more automated manufacturing capacity.

翻译 · 非原文措辞

从根本上说,在过去几十年里,中下等收入国家普遍使用、受益并得以利用的许多追赶机制,在一个既拥有非常先进的AI系统、又由此最终拥有高度自动化制造能力的世界里,是完全不兼容的。

安东·莱希特谈AI部署、经济颠覆与风险
上下文

那么我们来谈谈世界其他地区。你刚发布了一份关于欧洲变革性AI战略的重要报告,此前也引发了一些讨论——我之前还曾与你们的一位合著者聊过欧洲面临的算力赤字问题,以及为确保未来持续参与竞争而需要采取的行动。但在深入探讨欧洲应如何制定战略之前——如果他们什么都不做,令人担忧的是什么?因为我也认为,无论你认为欧洲维持现状会面临什么,这可能就是全球约70%、也许是80%的人口默认会面临的处境。在你看来,非洲、拉丁美洲、南亚等地的未来图景是什么样的?一直以来最直接、最显见的机制就是押注人口结构差异——你有非常快的人口增长,有相当廉价的劳动力可以用来发挥比较优势,然后迅速启动,吸引一些外国企业入驻,向全球供应链出口一些有价值的商品,其前提是你拥有这样一支劳动力队伍,能以一种使你成为开展商业活动相对有利的国家的方式加以利用。而我只是不知道这种情况是否还会继续。对于低端服务经济的绝大多数方面,这肯定不会再继续了——一旦我们拥有非常强大的AI系统,我实在看不出该经济部门还能以何种稳定的方式存在。肯定会出现新的服务类工作,即人类偏好型工作——你可以从长远角度思考所有这些劳动力市场效应。但这种仅凭……就能立即对全球供应链有用的想法

原始上下文

So let's talk about the rest of the world. You have this big report that just came out on transformative AI strategy for Europe, and there's been some discussion — I actually talked to one of your coauthors a bit back about the compute deficit that Europe has and the need to do something to be a live player going forward. But before we get into the strategy for what Europe should do — what's the worry if they do nothing? Because I also think whatever you think might happen to Europe if Europe stays the course is probably what happens to, like, 70%, maybe 80%, of the world's population by default. What does the future look like in your mind for Africa, Latin America, South Asia, etcetera? So the most immediate and obvious mechanism was always just to bet on the demographic differences — you had very rapid population growth, a fairly cheap workforce you'd be able to use to your comparative advantage, and then quickly bootstrap into hosting some foreign firms and exporting some valuable good into the global supply chain, predicated on the idea that you had this workforce you could put to use in a way that made you a comparatively beneficial country to conduct business activity in. And I just don't know whether that's going to remain the case. It's definitely not going to remain the case for most aspects of the menial services economy — I just don't see a stable way that that sector of the economy really exists once we have very powerful AI systems. There are definitely going to be new services jobs, human-preference jobs — you can think about all these labor-market effects in the long run. But this idea that you can just be immediately useful to global supply chains by do

时间点来自所提供的转录稿,尚待媒体回放核对。

分享观点验证此主张

这些是个人表达的观点,并非共识度量。原始资料保持其原始语言。