集里怎么说它

• 《Travis Kalanick：为什么把下一家公司赌在工业AI》(10:39起):本集说提升来自两部分叠加：机器每小时干得更多，加上24小时运转不需要人轮班，合计可能提升30%到40%
• 《送出你的乐高？——Molly Graham 谈 AI 时代哪些职责该交出、哪些必须攥紧》(23:13起):本集区分：生产力是能不能生成更多（已证明能生成一堆垃圾），效率是有没有真往某处去；有工程报告称 AI 让人更有生产力但须重写的代码涨了 8 倍

① 提到它的金句

20 条

但他们讲述故事的方式是，你每天支付一美元，以便在一周内真正获得四个小时的生产力回报，然后突然之间定价看起来就不太离谱了。
But the way they kind of told the story was that you pay a dollar a day for actually getting four hours of productivity back in the week, and then suddenly the pricing doesn’t look too off.
—— Madhavan Ramanujam · [13:35]

指向原始笔记的链接

世界上每个工程师都知道这是衡量生产力的愚蠢方式。
Which every engineer in the world knows is an idiotic way to measure productivity.
—— Bret Taylor · [67:11]

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我称之为隐形生产力。它是那种能让你周围的其他人都变得更好的生产力。
I call this invisible productivity. It’s productivity in which you make everybody else around you better.
—— Chip Connolly · [25:49]

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我会说大多数生产力指标都是一个谎言。
I’ll say most productivity metrics are a lie.
—— Nicole Forsgren · [12:23]

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大多数生产力指标都是谎言。
Most productivity metrics are a lie.
—— Nicole Forsgren · [00:03]

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但是每个工程师的生产力在拉取请求方面增加了 200%。
But productivity per engineer has increased 200% in terms of pull requests.
—— Boris Cherny · [21:25]

指向原始笔记的链接

生产力的提升是真实的，但工作的质量以及生产它的人的敏锐度正在受到打击。
The productivity gains are real, but the quality of the work and the sharpness of the person producing it are taking a hit.
—— Lenny · [52:31]

指向原始笔记的链接

因此，虽然我们从这些资深工程师那里获得越来越多的生产力，但如果你想发布更多产品并更快构建，你必须在公司内部创造类似创始人的主观能动性。
And so while we have more and more productivity from those senior engineers, if you want to ship more and build faster, you have to create founder-like agency inside your company.
—— Will Gabrick · [13:12]

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但如果你只是把一堆个人生产力的提升丢进一个组织,而不重新思考你的组织,你往往最终只是被下一个没有同步提速的层级卡住瓶颈。
But if you just drop a bunch of individual productivity improvements into an organization without rethinking about your organization, you often end up just bottlenecked on the next layer that didn’t speed up the same amount.
—— Kevin Ball · [21:09]

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而当人们习惯了只与个人生产力工具交互时,所有这些数字资产、所有这些隐性知识实际上都没有被捕获,也没有在组织内共享。
And when people are actually getting used to just interacting with the individual productivity tools, all this digital asset, all this implicit knowledge are actually not captured and shared across the organization.
—— Emily Hsu · [23:08]

指向原始笔记的链接

我们经历了 40 年的技术，它真正提升了我们的智力和生产力，但没有什么能触动我们的人性。
And we’ve had 40 years of technology that really boosted our intellect and productivity, but nothing that kind of spoke to our humanity.
—— Anish Acharya · [28:46]

指向原始笔记的链接

但现在在 Amazon 内部,我们和公司里不同的团队开展了试点,我们看到了中位数 4.5 倍的生产力提升,有时甚至超过 10 倍。
But now inside of Amazon, we’ve been running pilots with different teams across the company, and we’ve been seeing a median of 4.5x productivity improvement and sometimes more than 10x.
—— Clare Liguori · [01:22]

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你必须先做有意的工程工作,才能看到生产率提升的那条曲棍球杆曲线,因为我们必须先在代码库里做真正的工作,智能体才能在那里取得成功,尤其是在既有代码库中。
You have to do intentional engineering work before you’re going to see that hockey stick curve in productivity improvement because we have to do real work in our code bases first for agents to be successful there, especially in Brownfield existing code bases.
—— Clare Liguori · [09:54]

指向原始笔记的链接

如果你在 vibe coding,如果你整天和你的智能体来回对话,你当然不会看到 4 到 5 倍的生产力提升,因为你全程都在循环之中。
If you are vibe coding, if you are having a back and forth conversation with your agent all day long, of course, you’re not going to see 4 to 5x productivity improvements because you are in the loop the entire time.
—— Clare Liguori · [11:21]

指向原始笔记的链接

于是你开始获得复利式的收益，你开始看到智能体让你的生产率以超过单纯线性的速度向上拐升。
And so you start to get compounding gains, you start to see agents sort of inflecting your productivity upwards faster than just linear.
—— Drew · [05:57]

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我们的态度是，数据是你的，你想怎么用都行，我们会努力工作，每天都去赢得你生产力的那份权利。
I think our take is, you know, it’s your day to do what you want, and we’re going to work hard to earn the right to your productivity every day.
—— Keith Parris · [30:40]

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我甚至敢说，即使你今天没有用 AI，如果你在你的组织里取消 pull request，你也可以获得两位数百分比甚至三位数百分比的生产力提升。
And I would even go as far as saying, even if you’re not using AI today, you can get double-digit percentage, if not triple-digit percentage gains in productivity if you get rid of pull requests in your organization.
—— Dario Hamidi · [01:59]

指向原始笔记的链接

所以在感知生产率与实际生产率之间大约有 40% 的差距。
So there was like a 40% spread in perception of productivity versus actual productivity.
—— Justin Reock · [04:25]

指向原始笔记的链接

这比他们网络连接的质量更能预测一个开发者的生产力。
That was more predictive of a developer’s productivity than the quality of their internet connections.
—— Brian Hook · [45:50]

指向原始笔记的链接

我们的硬件工程师使用 AI 的程度和软件工程师一样多。而且生产力已经提升了。
Our hardware engineers are using AI as much as the software engineers are. And productivity has gone up.
—— Amin Vahdat · [57:16]

指向原始笔记的链接

② 出现在这些集

2 集

• 《Travis Kalanick：为什么把下一家公司赌在工业AI》 — 作为概念
• 《送出你的乐高？——Molly Graham 谈 AI 时代哪些职责该交出、哪些必须攥紧》 — 作为概念

③ 关联

点进去有真内容 —— 本页主要出口

Travis Kalanick · Lenny · Atoms · Molly Graham · Pronto · 送出你的乐高 · 工业 AI · AI · 物理 AI · 智能体