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Zvi Mowshowitz评黄仁勋播客:拒信ASI,误呼关停OpenAI

On Ezra Klein’s Podcast With Jensen Huang

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Jensen Huang accidentally called for shutting down OpenAI and intentionally called for spending vastly more on safety.

黄仁勋意外地呼吁关闭 OpenAI,并有意呼吁在安全方面投入更多资金。

This is why we say that some podcasts are self-recommending. Here we go.

这就是我们说有些播客是自我推荐的原因。我们开始吧。

As usual for podcast posts, the baseline bullet points describe key points made, and then the nested statements are my commentary. Some points are dropped.

与往常一样,播客帖子的基础要点描述了提出的关键观点,然后是嵌套的陈述作为我的评论。有些观点被省略了。

If I am quoting directly I use quote marks, otherwise assume paraphrases.

如果我直接引用,我会使用引号,否则请假设是意译。

Section titles are from the transcript whenever possible, to aid in navigation, but here we don’t have those so I chose the section titles.

章节标题尽可能来自转录文本,以方便导航,但这里我们没有这些标题,所以我选择了章节标题。

Jensen Huang very much does not believe in ASI (superintelligence). He doesn’t think AI can ever be a different kind of thing from software. He thinks demand can rise by a billion times and we can ‘accelerate the living daylights out of’ AI, but it will never be more than a ‘new abstraction level’ and thus won’t fundamentally change anything. This is not a coherent position under reflection, but that is the position he holds.

黄仁勋非常不相信 ASI(超级智能)。他不认为 AI 能成为不同于软件的其他事物。他认为需求可能增长十亿倍,我们可以‘极大地加速’ AI 的发展,但它永远只是一个‘新的抽象层’,因此不会从根本上改变任何东西。这在反思下并不连贯,但这正是他所持有的立场。

The ‘intro’ sections are fine, but the real meat starts with the HuggingFace Incident.

'介绍'部分没问题,但真正的重点从 HuggingFace 事件开始。

What we see is Jensen Huang on tilt and caught in loops, because either he is doing a bit at a very high level, or on a fundamental level he cannot understand that AI is not like other pieces of software. To him this is a product, like any other product. You make it useful, which happened six months ago, then you flip to spending most of your R&D budget on safety, verifications and evals, and of course you would never ship an unsafe product or one you hadn’t properly tested, that’s crazy talk, and if the labs can’t test their products safely then the labs must be shut down.

我们看到的是黄仁勋处于倾斜状态并陷入循环,因为他要么是在非常高的高度上表演,要么在根本上他无法理解 AI 不像其他软件。对他来说,这是一个产品,就像任何其他产品一样。你让它变得有用,这发生在六个月前,然后你转向将大部分研发预算用于安全、验证和评估,当然你永远不会发布一个不安全的产品或未经适当测试的产品,那是疯话,如果实验室不能安全地测试他们的产品,那么实验室必须被关闭。

And of course you would never let a ‘race’ or similar incentives get to you, because it is the responsibility of the company and CEO to not ship or do anything unsafe.

当然,你永远不会让‘竞赛’或类似的激励措施影响你,因为不发布或做任何不安全的事情是公司和管理层的责任。

Jensen Huang does not believe in AI existential risk, or in superintelligence, and he kind of doesn’t believe in AI at all, but he sure as hell believes in precision and engineering and quality control and safety and standing by your products. His tolerance for safety risks is lower than even the most paranoid safety advocate. Imagine if he understood what the top risks actually were.

黄仁勋不相信 AI 存在性风险,也不相信超级智能,他甚至有点不相信 AI 本身,但他确实坚信精确性、工程、质量控制、安全以及对自己的产品负责。他对安全风险的可接受度比最偏执的安全倡导者还要低。想象一下如果他真正理解了顶级风险是什么。

This matters quite a lot, as Jensen Huang is CEO of Nvidia, makes decisions on chip allocations and investments, and also heavily influences both President Donald Trump and American AI policy, with a rather forceful lobbying arm. Here you can see him and his wife (!) last night at the head table at the state dinner with Donald Trump, Melania Trump Xi, Peng, Musk and Cook.

这非常重要,因为黄仁勋是英伟达的CEO,负责芯片分配和投资决策,并且对唐纳德·特朗普总统以及美国AI政策有着相当大的影响力,他还拥有一个相当强势的游说团队。在这里你可以看到他和他的妻子(!)昨晚在唐纳德·特朗普、梅拉尼娅·特朗普、习近平、彭丽媛、马斯克和库克出席的国宴主桌旁。

There are at least three truly killer quotes here, to that end.

为此,这里至少有三个真正致命的引语。

Table of Contents

目录

  • Jensen Gives His AI Speech.
  • They Took Our Jobs.
  • Open Weights Models Are Good For Nvidia.
  • The HuggingFace Incident.
  • Jensen Huang Says Keep Your AIs From Harming the World.
  • Jensen Huang Accidentally Calls For Shutting Down OpenAI.
  • Jensen’s Arguments Prove Too Much.
  • Astra Is Hard To Monitor.
  • Jensen Huang Seems Legitimately Confused In Confusing Ways.
  • Solve Your Other Problems First and Get Back to Me.
  • Explicit Denial of Existential Risk.
  • A Short Summary.
  • Chip City.
  • Jensen Huang.
  • 黄仁勋发表了他的AI演讲。
  • 他们抢走了我们的工作。
  • 开放权重模型对英伟达有利。
  • HuggingFace事件。
  • 黄仁勋称要防止AI伤害世界。
  • 黄仁勋意外呼吁关闭OpenAI。
  • 黄仁勋的论点证明过头了。
  • Astra难以监控。
  • 黄仁勋似乎以令人困惑的方式真诚地感到困惑。
  • 先解决你的其他问题,然后再来找我。
  • 明确否认存在性风险。
  • 简短总结。
  • 芯片之城。
  • 黄仁勋。

Jensen Gives His AI Speech

黄仁勋发表了他的AI演讲

  • AI as a five-layer cake. Energy, chips, infrastructure, models, applications.
  • Jensen’s vision is a world where we can do anything.
  • One might almost say he spent so much time ensuring we could…
  • This is not actually a vision of the world. It is a vision of a capability.
  • The right question is, if AI has that capability, what actually happens?
  • Radiology. Quality up, productivity up, demand up. Parallel to SWEs. Expectation of lots of new jobs.
  • It’s a good speech if you are low-info and haven’t heard it many times before.
  • “Here’s the proof point. In the last six months, A.I. has become, if you will, useful — the inflection point of A.I. Previous to that, we spent 15 years trying to make it work. All of a sudden, in the last six months, it became useful.”
  • AI was highly useful well before March 2026, but yes things did get a lot more useful at the threshold of Opus 4.5 and Claude Code, and the vast majority of AI utility gained so far has been in the last six months. That’s exponentials.
  • Jensen does not seem to appreciate that this is not a one-time step change, and that these gains will continue into the future.
  • AI像五层蛋糕:能源、芯片、基础设施、模型、应用。
  • 黄仁勋的愿景是一个我们可以做任何事情的世界。
  • 人们几乎可以说他花了太多时间确保我们能够……
  • 这实际上并不是一个关于世界的愿景。它是一个关于能力的愿景。
  • 正确的问题是,如果AI拥有这种能力,究竟会发生什么?
  • 放射学。质量提升,生产力提升,需求增加。与软件工程师平行。预计会有大量新工作岗位。
  • 如果你信息匮乏且以前没怎么听过,这是一篇不错的演讲。
  • “这里有证据。在过去六个月里,人工智能(A.I.)变得——用你们的话说——有用——这是人工智能的拐点。在此之前,我们花了15年试图让它发挥作用。突然间,在过去六个月里,它变得有用了。”
  • 在2026年3月之前很久,AI就已经非常有用,但确实,在Opus 4.5和Claude Code推出的门槛处,事情变得更有用了,迄今为止获得的绝大多数AI效用都是在过去六个月中实现的。这就是指数级增长。
  • 黄仁勋似乎没有意识到这不是一次性的阶跃变化,这些收益将在未来持续下去。

They Took Our Jobs

他们抢走了我们的工作

  • $500 billion has been invested in AI natives in the last six months, so jobs are obviously being created.
  • Not so fast, not in terms of practical implications.
  • In absolute terms yes, $500 billion is going to create some jobs.
  • That does not mean it is all that many. A lot of AI investments are very stingy in terms of jobs directly created per dollar.
  • It also might destroy many more jobs than it creates, both by replacing and competing away existing jobs.
  • The anticipation of future AI could also net destroy or prevent jobs.
  • On the macro level more investment creates net jobs in other indirect ways if this is not substitution for other investment, and mostly it isn’t, but I don’t think this is what Jensen is trying to take credit for here.
  • Jensen claims America lost manufacturing jobs primarily due to outsourcing, rather than due to technology. And that we’re going to bring those jobs back.
  • A goose, chasing you, asking how we were able to do the outsourcing.
  • As Ezra says, if your job gets outsourced to AI, is that technological job loss? Is it outsourcing? Is it both? It is kind of both.
  • Also, Jensen is wrong. Technology and automation dominated here. See Hicks and Devaraj (Ball State, 2015). Opus 5.5 says technology and automation dominate this, and are responsible for 80%+ of job losses in manufacturing in America, whereas Astra is more conservative and guesses 70%.
  • He does not explain how we will bring the jobs back, other than citing Nvidia purchase commitments, because we won’t. Production might return, but jobs gone. We can create some new jobs, at least for now, but if we do that it should mostly be because we want the production, not the jobs.
  • Manufacturing in 2036, even in non-ASI worlds, is going to be very automated.
  • Jensen believes we are going to see jobs change en masse and there’s going to be a net creation of jobs, industries that do not exist today, because of human ambition. We will always want more.
  • To the extent he is in good faith this sounds like a pure AI pilling failure. Jensen thinks accomplishing things will still centrally require humans.
  • Jensen says people’s ambitions are “to make their children’s lives better, to take care of their family, take care of their parents. Ambition to be rich, to be able to travel. These are all ambitions.”
  • Yes, but those ambitions are about consumption, not production.
  • Jensen considers it his problem to do his job, as in make the chips, and “channel all of our worries into helping people be inspired by this technology and use it.”
  • This is straight up living in denial. He doesn’t even treat the risks as someone else’s problem. He says society’s share is ‘what they get to enjoy is my optimism.’
  • Meanwhile he is actively trying to interfere with others who attempt to solve the problems.
  • Americans believe AI will net destroy jobs. Jensen responds that AI makes it easier to code and to do things and it’s incredible. Why be anxious when you can be excited? Use the tech so that you, personally, benefit.
  • That’s straight up not an answer. It’s a non sequitur.
  • Job openings for senior software engineers (SWEs) are up but for juniors they are down. Ezra asks, do you need those junior engineers? Jensen says “Oh, good one. Wait two years. Because it takes four years to go to college. The mean time to graduation of this new technology is two years away.
  • 在过去六个月里,向原生AI投资了5000亿美元,所以工作机会显然正在被创造出来。
  • 别急,从实际影响来看并非如此。
  • 从绝对数量上来说是的,5000亿美元将创造一些工作岗位。
  • 这并不意味着数量会很多。许多AI投资在每美元直接创造的工作岗位方面非常吝啬。
  • 它可能还会通过替代和竞争淘汰现有工作,摧毁比它创造更多的就业岗位。
  • 对未来AI的预期也可能净减少或阻止就业岗位的创造。
  • 在宏观层面,如果这种投资不是对其他投资的替代(而大多数情况下确实不是),更多投资会以其他间接方式创造净就业岗位,但我认为这并不是黄仁勋想要在此居功的内容。
  • 黄仁勋声称美国失去制造业工作岗位主要是由于外包,而不是由于技术。并且我们将把这些工作岗位带回来。
  • 一只鹅追着你,问我们是如何实现外包的。
  • 正如Ezra所说,如果你的工作被外包给AI,那是技术性失业吗?是外包吗?两者都是?可以说两者兼有。
  • 此外,黄仁勋错了。技术和自动化在这里占主导地位。参见Hicks和Devaraj(Ball State,2015)。Opus 5.5指出技术和自动化占据主导地位,并导致美国制造业80%以上的失业,而Astra更为保守,估计为70%。
  • 他没有解释我们将如何把工作岗位带回来,除了引用Nvidia的采购承诺,因为我们做不到。生产可能会回归,但工作岗位已消失。我们可以创造一些新的工作岗位,至少目前是这样,但如果我们这样做,应该主要是出于对生产的需要,而不是为了工作岗位本身。
  • 到2036年,即使在非ASI(超级智能)的世界中,制造业也将高度自动化。
  • 黄仁勋认为,我们将看到工作大规模发生变化,并且会出现净增的就业岗位,包括如今尚不存在的行业,这都是因为人类的雄心壮志。我们永远会渴望更多。
  • 如果他出于善意,这听起来就像是一种纯粹的 AI 堆叠失败。黄仁勋认为,完成事情仍然需要人类居中主导。
  • 黄仁勋表示,人们的雄心是“让子女的生活更美好,照顾家人,照顾父母。想要变得富有,能够去旅行。这些都是雄心。”
  • 是的,但这些雄心关乎消费,而非生产。
  • 黄仁勋认为做好本职工作(即制造芯片)是他的责任,并且“将我们所有的担忧转化为帮助人们受此技术启发并加以利用的动力。”
  • 这完全是自欺欺人。他甚至不把风险视为他人的问题。他说社会应得的部分是‘他们能享受我的乐观’。
  • 与此同时,他正在积极试图干扰那些试图解决问题的人。
  • 美国人相信 AI 将导致工作岗位净减少。黄仁勋回应称,AI 使编程和做事变得更加容易,这令人惊叹。既然可以兴奋,何必焦虑?使用这项技术,以便你个人从中受益。
  • 这完全不是答案。这是不合逻辑的推论。
  • 高级软件工程师(SWE)的职位空缺在增加,但初级工程师的职位空缺在减少。Ezra 问,你需要那些初级工程师吗?黄仁勋说:“哦,好问题。等两年吧。因为上大学需要四年时间。这项新技术的平均毕业时间是两年后。”

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