跨国深谈

Every

14分钟阅读

跨国深谈← 返回←Every
EV

Every

公司
本站收录 3 集 · 119 条金句 · 关联 10 个

集里怎么说它

① 提到它的金句

119 条

为我提供针对我当下要解决的问题集的最佳可能方案——这就是每一个消费者体验将会有的感觉。
And therefore providing me with the best possible solution to the sets of things that I’m trying to solve for right now is how every consumer experience is going to feel like.
—— Rishabh Jain · [30:22]

指向原始笔记的链接

作为房间里工程方面的声音之一,不得不对业务团队说不,真的非常不舒服——就是那种:好主意,但这需要我六到八个月去重新架构并重构我们在业务定价上做的每一个假设。
I found it really uncomfortable to be one of the engineering voices in the room, having to tell no to business teams on like, you know, fantastic idea, but it’s going to take me six to eight months to re-architect and refactor every assumption we’ve made around pricing in the business.
—— Alvaro Morales · [04:48]

指向原始笔记的链接

每一次重大的平台转移,不仅催生了一代提供重大创新的公司,也颠覆了软件的商业模式。
Every major one has not only resulted in just a generation of companies providing significant innovation, it’s also disrupted the software business model.
—— Alvaro Morales · [13:23]

指向原始笔记的链接

我们真正在构建的是一个数据平台,能够独特地把每一个产品使用单元连接到收入。
What we’re really building is a data platform that can uniquely connect every unit of product usage to revenue.
—— Alvaro Morales · [29:15]

指向原始笔记的链接

Bash 本质上是相当危险的，并且它能以意想不到的方式改变系统状态。但与此同时如果你必须手动批准每一条 bash 命令，作为一名工程师这超级烦人，而且你无法真正提高生产力，因为你只是在不断地批准每一条命令。
Bash is inherently pretty dangerous and it can change system state in unexpected ways. But at the same time if you have to manually approve every single bash command, it’s super annoying as an engineer, and you can’t really be productive because you’re just constantly approving every command.
—— Boris · [24:21]

指向原始笔记的链接

我认为 Anthropic 大约 80% 的人员是技术人员，每天都使用 Claude Code。
I think about 80% of people at Anthropic that are technical use Claude Code every day.
—— Boris · [27:08]

指向原始笔记的链接

但我认为从那个说法到说，比如，好吧，地球上的每一件事物都将在区块链上运行，这就是我的警报开始响起的地方。这就像，好吧，它可能是一项很棒的技术，并且可能非常成功，而不必征服世界
But I think going from that to saying like, okay, every single thing on the planet is going to run on the blockchain, that’s where some of my alarms start to go off. And it’s like, well, it can be a great technology and it can be very successful without having to take over the world
—— Sebastian Barrios · [43:44]

指向原始笔记的链接

他有一句话是，「你必须问为什么，为什么个人计算是在 1960 年代末在北加州开始的，当时这个国家的每一家主要科技公司都在东海岸。答案是因为斯坦福大学周围有很小的一群人，他们将软件视为一种与电影、音乐和书籍同等地位的新型媒体。」
And he has this quote that is, “you have to ask why it is personal computing got started in Northern California in the late 1960s when at the time every major tech company in the country was on the East Coast. And the answer is because there was a very small group of people in and around Stanford University that saw software as a new form of media on par with movies, music and books.”
—— Bob Baxley · [55:16]

指向原始笔记的链接

所以基本上，对于每一个工作单元，你应该让下一个工作单元更容易做。
So basically, for every unit of work, you should make the next unit of work easier to do.
—— Dan Shipper · [42:10]

指向原始笔记的链接

这有点好笑，因为这个叙事每六个月左右出现一次，而且从未成真，所以我有点希望人们看到它时脑子里能有一个废话探测器。
It’s kind of funny because this narrative comes out every six months or so and it’s never been true, and so I kind of wish people would have a little bit of a bullshit detector in their heads when they see this.
—— Benjamin Mann · [08:06]

指向原始笔记的链接

我认为我们需要更多类似的东西，因为如果 AI 正在生成这些代码，根据定义，如果你必须阅读每一行，那将是生产代码的制约因素，或者更糟的是，你只是不会阅读每一行，而且你将向世界发布一堆不安全、未经验证的代码。
I think we need more things like that because if an AI is generating this code, by definition, if you have to read every line that is going to be the limiting factor for producing the code or worse, you’re just not going to read every line and you’re going to emit a bunch of unsafe unverified code into the wild.
—— Bret Taylor · [41:16]

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]

指向原始笔记的链接

我是说，我们评估过的每一个开箱即用的评分体系都很烂。
I mean, every out-of-the-box stack that we’ve evaluated sucks.
—— Ankur Goyal · [21:34]

指向原始笔记的链接

所以一个每周进步 1% 的团队与一个每月进步 1% 的团队相比，即使是从一个低得多的基线开始，也会在非常短的时间内胜过那个没有变好的团队。
So a team that just gets 1% better every week compared to a team that gets 1% better a month. is even if they start off at a much lower baseline is going to outperform in a very short amount of time, the team that doesn’t get better.
—— Julie Zhuo · [58:34]

指向原始笔记的链接

我现在就可以告诉你，我管理的每一位经理当他们说我觉得这不是个好主意时，我能想到没有任何一种情况是那个项目最终变得极其成功的。
I can tell you right now, every single manager I’ve ever managed where they’re like, I don’t really think this is a good idea. There’s no case where I can think of the project somehow turned out to be like wildly successful.
—— Julie Zhuo · [72:01]

指向原始笔记的链接

我相信每个方向都有无限。所以这让我对几乎任何人说的话都相当持相反意见。所以如果有人像在 Twitter 上说什么，我有时和自己玩这个游戏，就是在什么语境下那实际上不成立？
I believe that there’s infinity in every direction. So that makes me pretty contrary on pretty much everything that anyone says. So if someone says something like on Twitter, I sometimes play this game with myself, which is in what context would that actually not be true?
—— Julie Zhuo · [80:20]

指向原始笔记的链接

所以我们的目标之一是确保，每当我们收到来自客户的反馈，它都能在 24 小时内进入我们的代码库。
So one of our goals is to make sure that, like, every time we cut feedback from customers, that gets to our code base in 24 hours.
—— Evan Reiser · [27:06]

指向原始笔记的链接

并不是每一件伟大的事情都会由你发明。
Not every great thing is going to be invented by you.
—— Robby Stein · [31:26]

指向原始笔记的链接

你会在每个系统中达到这些边际收益递减的点，感觉就像你可以在这个项目上放 50 个人，但它不会显著地移动指针。
You get to these points of just diminishing marginal return in every system where it feels like you could put 50 people on this project, it’s just not going to dramatically move the needle.
—— Robby Stein · [41:00]

指向原始笔记的链接

我真正推动团队去思考的事情之一是，如果每一次发布，删除整个应用并从头开始重建它，我们的世界会是什么样子？
one of the things I’m really pushing our teams to think about is what would our world look like if every single release, RM minus RF deleted the entire app and rebuilt it from scratch?
—— Dhanji Prasanna · [35:21]

指向原始笔记的链接

我在两个半世纪前开始研究 AI,在过去二十年里我几乎每个学生毕业时,我都提醒他们,你的领域叫人工智能,但其中没有任何人工的成分。
I started working AI two and a half decades ago, and I’ve been having students for the past two decades and almost every student who graduates, I remind them when they graduate from my lab that your field is called artificial intelligence, but there’s nothing artificial about it.
—— Dr. Fei-Fei Li · [08:01]

指向原始笔记的链接

因为对他来说，每一个错误都是他可以收集的宝石，他实际上可以成为一个优秀的滑雪者。
Because to him, every one of those was a gem that he could collect, and he could actually become a good skier.
—— Stewart Butterfield · [48:23]

指向原始笔记的链接

但每次你将决策能力或自主权移交给智能体系统时，你都在某种程度上放弃了一些你的控制权。
But every time you hand over decision-making capabilities or autonomy to agentic systems, you’re kind of relinquishing some amount of control on your end.
—— Kiriti Badam · [10:12]

指向原始笔记的链接

那些真正想要提升自己和发展职业生涯的人，在我看来，现在应该把每一个空闲小时都用来与 AI 交谈，就像说，“好吧，培训我。“
People who really want to improve themselves and develop their career should be spending every spare hour, in my view, at this point, talking to AI, being like, “All right, train me up.”
—— Marc Andreessen · [01:20]

指向原始笔记的链接

当你真正接受它时，你会意识到你在评测上投入的工作，不会在你每次尝试新模型、改一些措辞或稍微改变用例时就蒸发掉。
When you really embrace it, you realize that the work that you put into doing evals doesn’t evaporate every time you try a new model or you change some wording or you change your use case a little bit.
—— Ankur Goyal · [06:00]

指向原始笔记的链接

你为公共消费撰写东西的每一分钟，都没有把你有非常有限的时间集中在你的客户和产品上。
Every minute you’re writing something for public consumption, you’re not focusing your very limited time that you have on your customers and your product.
—— Qasar Younis · [42:11]

指向原始笔记的链接

99% 的时间他们会告诉你除了真实原因之外的每一个原因。
99% of the time they will tell you every reason except the real reason.
—— Keith Rabois · [53:02]

指向原始笔记的链接

自动化是个谎言，从某种意义上说，每次你自动化某样东西时，为了确保自动化运行良好，你需要一个人在上面确保它运行良好。
Automation is a lie, in the sense that every time you automate something, in order to make sure the automation is working well you need a human on top of it making sure that it’s working well.
—— Dan Shipper · [39:15]

指向原始笔记的链接

我喜欢行业中每一个新的混乱时期，因为那是学习正在发生的地方。
And I love every new chaotic period in the industry because that’s where the learning is happening.
—— Patrick Dubois · [00:30]

指向原始笔记的链接

良好的变更管理并承认每次你例如替换智能体中的 LLM 时，它的行为都会不同。如果你不在你的治理中考虑到这一点，你的最终用户将承担其后果。
Good change management and acknowledging that every time you, for example, replace the LLM in an agent, it will behave differently. And if you don’t take that into account in your governance, your end users will bear the burden of that.
—— Emil Lassen · [20:09]

指向原始笔记的链接

很难想象单一提供商、单一公司如何能在其中的每一个组件中都做到业内最佳，对吧？
It just seems hard to imagine how a single provider, a single company could be best in breed at every single component that goes into that, right?
—— Andrew · [32:47]

指向原始笔记的链接

那个仪表图总是告诉我们，大约每四个月，智能体能够自主运行的时间量大约会翻倍。
So the the meter chart always shows us that roughly every four months, the amount of time that agents are able to run for autonomously is like doubling.
—— Lamus Mukta · [15:52]

指向原始笔记的链接

所以这就是为什么我认为这对每个人来说都很重要，要意识到我们有能力把一个天才级别的联合创始人放到每个人身边，男人、女人、小孩，无论年龄、信仰、国家、性取向如何。
So this is why I think it’s so important for everybody to realize we have the ability to put a genius level co-founder beside every single human, man, woman, child, independent of age, creed, country, sexual orientation.
—— Chamath · [08:39]

指向原始笔记的链接

我现在能想到的每一份工作，我都可以提出理由说它绝对有可能被取代。
every job I can currently think of, I could make a case, potentially, that it could absolutely be replaced.
—— Dan · [17:03]

指向原始笔记的链接

我宁愿每隔几年遇到那样的抵制,但继续进化并保持相关性,也不愿选择另一种方案,那就是我们没有视频,没有私信,没有快拍,没有排名。
i would much rather have backlashes like that every couple years but continue to evolve and continue to stay relevant than the alternative which would have been like we didn’t have video we didn’t have dms we didn’t have stories we didn’t have ranking
—— Adam Mosseri · [58:31]

指向原始笔记的链接

每次航班起飞，大约有 400 条生命处于危险之中。
Every time a flight takes off, about 400 lives are at stake.
—— Kriti Sharma · [14:56]

指向原始笔记的链接

关于这要说的第二点是，每次你，是你，不是 AI，解决了一个问题并克服了一个障碍，它都会提高你的自我效能感、自信心、自我信念的基线。
Every time you, you, not the AI, solve a problem and get over a barrier, it increases, it raises your baseline of self-efficacy, of self-confidence, of self-belief.
—— Noam Segal · [52:01]

指向原始笔记的链接

但每个创业者在心里都知道那其实就像造一架通往月球的梯子。所有这些创可贴,他们讨厌它,他们都讨厌它。
But every entrepreneur knows in their hearts that that’s actually like building a ladder to the moon. All these band-aids, they hate it, they all hate it.
—— Astro Teller · [14:59]

指向原始笔记的链接

但如果我让你去月球,而你向我展示你每天都离月球近一英尺,没意思。大概有一架通往月球的梯子,而我担心有很多 Product Market Fit 是如此孤岛化。那就是在造一架通往月球的梯子。你也许能造一架相当高的梯子,但你不会以那种方式到达月球。
But if I ask you to get to the moon, and you show me that you’re a foot closer to the moon every day, not interesting. There’s probably a ladder to the moon and I worry that there’s a bunch of Product Market Fit that is so siloed. It’s just building a ladder to the moon. You might build a pretty tall ladder, but you’re not going to get to the moon that way.
—— Astro Teller · [44:28]

指向原始笔记的链接

每个个体客户都有关于他们自己的场景、情况、现实和视角的重要事情要说，这对他们来说都有价值。但我们必须为广大的客户群构建产品。
Every individual customer has an important thing to say about their own scenario, their own situation, their own reality, their own perspective, and it’s all valuable for them. But we have to build a product for the customer base at large.
—— Jason · [01:06]

指向原始笔记的链接

每一项新技术出现时,你一开始都是拿你已经在做的事情,用新技术做得更多、更快,并强迫新技术去适应旧的做事方式。
With every new technology, you start by taking the thing you’re already doing and doing it more and faster with the new technology and forcing the new technology to fit the old way of doing it.
—— Benedict Evans · [15:41]

指向原始笔记的链接

你得想明白:当每四到六周排行榜榜首就出现另一个新模型时,可持续的竞争差异化路径到底是什么?
You’ve got to work out, well, what is the path to sustainable competitive differentiation when every four to six weeks there’s another model at the top of the leaderboard?
—— Benedict Evans · [49:34]

指向原始笔记的链接

人类建立过的每一个机构，每一个清单，每一个组织结构图，每一个档案柜，都是针对这个限制的假肢。
And every institution humanity has ever built, every checklist, every org chart, every filing cabinet is a prosthetic for that limit.
—— Garry Tan · [11:22]

指向原始笔记的链接

因为对于脓毒症来说，基本上每延迟治疗一小时，死亡率就会增加大约 12%。
Because with sepsis, basically every hour that you don’t treat somebody is about a 12% increase in mortality.
—— Fred Turner · [14:08]

指向原始笔记的链接

嗯，我认为这对我们来说是一个领先指标，过去六七个月我们的 Anthropic 成本每月增长 6 倍。
So, I mean, this is one of the, I think, the kind of leading indicators for us is that our Anthropic cost over the last six or seven months has 6X’d every month
—— Fred Turner · [50:02]

指向原始笔记的链接

我认为现在，当前这一代模型可以完成我们在 Curative 的所有后台任务。
I think today, the current gen models can do every back office task we have at Curative.
—— Fred Turner · [79:08]

指向原始笔记的链接

我们把每一次模型部署都视为「一人适配」。它只对你的工作负载是独特的。
We think about every single model deployment as one size fits one. It’s unique for your workload only.
—— Lin Qiao · [18:59]

指向原始笔记的链接

我真的看到，每一家公司都会把拥有自己的智能视为一种必需品。这不是可选项。
I really see people will own their, every single company will own their own intelligence as a must-have. It’s not optional.
—— Lin Qiao · [73:21]

指向原始笔记的链接

所以每一位 CIO 都需要回答:每多一个 token,我们该把它放在哪里?
So every CIO is going to need to answer, for every incremental token, where do we put it?
—— Matan Grinberg · [26:09]

指向原始笔记的链接

如果你真的能坐在每个客户旁边，说，这是我想给你看的，你会做什么？那是我的黄金标准。
If you could literally sit next to every single customer and go, here’s what I want to show you, what would you do? And that’s the gold standard for me.
—— 嘉宾 · [03:36]

指向原始笔记的链接

我是说，这就是为什么我们现在有一场「SaaS 大末日」，因为它在质疑每一家软件公司的护城河。
It is, I mean, this is why we have a SaaSpocalypse now, is it’s kind of questioning every software company’s moat.
—— Jon Noronha · [25:15]

指向原始笔记的链接

不，这不会让我恼火，因为我们每个周末银行里的钱都会多出几百万，对吧？
It doesn’t annoy me, no, because we end every week with millions more in the bank, right?
—— Osvald Nitski · [35:43]

指向原始笔记的链接

在 anthropic 之上构建已经相当危险了,因为每次一个应用类别开始做得很好时,他们就会进入那个类别。
it’s been already fairly dangerous to build on anthropic because every time an application category starts to do well, they move into that category.
—— Ben Horowitz · [14:35]

指向原始笔记的链接

我认为这对艺术来说将是一次小小的文艺复兴,因为每次我们拥有一项新技术,我们就会获得新种类的艺术。
I think it’s going to be a little bit of a renaissance for art in that like every time we have a new technology, we get new kinds of art.
—— Ben Horowitz · [28:48]

指向原始笔记的链接

每个问题的答案都是一个模型。你很想为它写一大堆代码？不。
The answer to every problem is a model. You’re tempted to write a bunch of code for it? No.
—— 嘉宾 · [00:00]

指向原始笔记的链接

可控制性可能是我们在每个层面上对智能体需要的单一最大的突破。
Controllability is probably the single biggest breakthrough that we need for agents at every single level.
—— Jensen Huang · [23:20]

指向原始笔记的链接

因为我可以使用本地智能体一天产出 20 个 PR,但如果政策说每个 PR 都需要人工审查，那我的团队就得去审 20 个 PR。
Because I can churn out 20 PRs in a day using a local agent, but if we have a policy where every PR needs a human review on it, well then my team needs to go review 20 PRs.
—— Rob Willoughby · [11:06]

指向原始笔记的链接

你很容易作弊:一个自动化可能每分钟运行一次,每次「节省」十分钟,但这并不意味着它真的为你省下了天文数字的时间。
You can cheat very easily: an automation might run every minute and “save” ten minutes each time, but that doesn’t mean it saves you crazy amounts of time.
—— Carlos González de Villaumbrosia · [41:12]

指向原始笔记的链接

每家初创公司和现有巨头之间的战斗归结为初创公司是否在现有巨头获得创新之前获得了分发。
The battle between every startup and incumbent comes down to whether the startup gets the distribution before the incumbent gets the innovation.
—— Alex Rampell · [25:49]

指向原始笔记的链接

是的，我认为这是一个好问题，对开发者来说宽容的看法是，如果有一件事你真的不想搞乱，那就是预训练，因为它只是比你做的其他任何训练过程都要昂贵几个数量级。
Yeah, I think it’s a good question and the charitable take for developers is that if there’s one thing you really don’t want to mess with, it is pre-training because this is just orders of magnitude more expensive than every other training procedure that you do.
—— Adam Gleave · [74:22]

指向原始笔记的链接

所以突然间，你的产品路线图对每个单个客户来说完全是一堆雪花，这是行不通的。
So suddenly your product roadmap is a complete snowflakes for every single customer, which is not going to work.
—— Lindsey Scrase · [10:52]

指向原始笔记的链接

每一次互动,无论是被动还是主动与客户,都应该由 AI 来处理。
And every interaction, whether it’s like reactive or proactive with a customer, should be handled by AI.
—— Ashwin Srinivas · [00:02]

指向原始笔记的链接

如果机器人要做我们今天与这些公司正在做的事情，那么每一栋建筑都需要是 3D 打印的或者是完全标准化的。
If robotics is going to do what we’re doing with these companies today, every single of those buildings need to be either 3D printed or completely standardized.
—— Melisa Tokmak · [11:45]

指向原始笔记的链接

如果你观察 AI 生态系统和发生的一切,每一波浪潮都比前一波浪潮大 10 倍。
If you look at the AI ecosystem and everything that’s happened, every wave is 10 times bigger than the past wave.
—— Alexandr Wang · [17:17]

指向原始笔记的链接

然后对于每一个好公司,都有这种邪恶的双胞胎,那个海外的替身,复制了所有功能但不做合规。
And then for every one, there’s kind of this evil twin, you know, the doppelganger offshore that sort of copies all the features but doesn’t do the compliance.
—— 嘉宾 · [21:43]

指向原始笔记的链接

所以我们能做的是每一天，我们可以生成数万个假设。
So what we can do is every single day, we can be generating tens of thousands of hypotheses.
—— Joon Sung Park · [20:25]

指向原始笔记的链接

一个有趣的思想实验是,如果你试图使用可能每天有 20 个错误而不是每百万年一个错误的晶体管构建一个系统,会发生什么。
an interesting thought experiment is what would happen if you tried to build a system out of transistors that might have 20 errors per day rather than one every million years.
—— Jeff Dean · [38:29]

指向原始笔记的链接

这就是为什么每一个炒作周期都会产生一波绝对精彩的演示，却很少有真正的产品。
And that’s why every hype cycle produces a wave of absolutely spectacular demos and very few real products.
—— Dmitri Dolgov · [14:02]

指向原始笔记的链接

你教给智能体的每一个技能都是外在化的你。
Every skill you teach an agent is you, externalized.
—— Garry Tan · [29:38]

指向原始笔记的链接

在游戏的每一刻，都有数百个推理调用正在发生，即使是一年前我们也无法构建任何这样的东西。
At every moment in the game, there are hundreds of inference calls happening, and we couldn’t have built anything like this even a year ago.
—— Kwindla Kramer · [19:25]

指向原始笔记的链接

把我们庞大的软件行业想象成前工业时代是很可笑的,但在某种程度上确实是,因为到目前为止我们拥有的唯一自动化就是启发式的,比如确保每行末尾有一个分号。
It’s funny to think about our giant software industry as being pre-industrial, but on some level it is, because until now the only automations that we had were heuristics, like make sure there’s a semicolon at the end of every line.
—— Idan Gazit · [02:57]

指向原始笔记的链接

我温和的观点，不是激进的观点，我的温和观点是每个招聘人员都应该是人才工程师。
my warm take, not a hot take, my warm take is every recruiter should be a talent engineer.
—— Adam Ward · [80:12]

指向原始笔记的链接

你雇佣的每一个你曾经一起工作过的优秀的人，都会让这个地方对你曾经一起工作过的人更有吸引力。
Every good person that you hire that you used to work with makes the place more attractive to the people that you used to work with.
—— Colin Zima · [47:01]

指向原始笔记的链接

如果你能每周学到一件事,而有一个竞争对手每月才学到一件事,他们就永远无关紧要了。
if you can learn one thing every week and there’s a competitor that’s learning a thing every month, they will never matter.
—— Max Hodak · [18:59]

指向原始笔记的链接

所以那个,你必须修复你环境中的每一个 CVE 到现在你将在你的环境中获得一千倍的更多 CVE。
you must fix every CVE that’s in your environment to now you’re going to get a thousand X more CVEs in your environment.
—— Emilio Escobar · [20:15]

指向原始笔记的链接

我认为任何把这些当作等待开始的借口的人，都将远远落后，因为一切都会变得更便宜，一切都会变得更有能力，每一年都是如此。
I think anyone who is using those as excuses to wait to get started are going to be super behind because everything’s going to get cheaper and everything’s going to get more capable every year.
—— Kevin Scott · [24:32]

指向原始笔记的链接

我们已经在国际象棋和 AI 实现了超人类表现的其他所有游戏中看到了这一点，起初 AI 击败人类，而 AI 加人类击败单纯的 AI，一点点地，AI 加人类与 AI 之间的差距在缩小，直到它实际上变成负数，而人类最多只是在往系统中引入随机噪声。
We’ve seen it happen with chess and with every other game which AI has achieved superhuman performance on, where at first AI beats human and AI plus human beats just AI, and little by little the gap of AI plus human versus AI is shrinking until it actually turns negative and humans are introducing, at best, random noise into the system.
—— Flo Crivello · [64:43]

指向原始笔记的链接

每个 Frontier 实验室大概每一个半月而不是每六个月发布一次模型。
Each Frontier lab is releasing models every month and a half or so instead of every six months.
—— Shensi Ding · [47:37]

指向原始笔记的链接

我们似乎正在速通之前发生过的每一个技术周期。
We seem to be speedrunning every technology cycle that’s ever happened before this one.
—— Joel de la Garza · [00:51]

指向原始笔记的链接

那是一场灾难。字面上搞砸了产品中的每一个指标。
It was a disaster. Tanked literally every metric in the product.
—— Elliot · [25:26]

指向原始笔记的链接

我想大约每 25 分钟，世界各地就会发生大约相当于 9-11 规模的死亡。
I think every 25 minutes or so there is like a kind of 9-11 worth of deaths happening around the world.
—— Nick Bostrom · [35:01]

指向原始笔记的链接

你知道，每当我们让创建软件变得更容易时，我们就指数级地创造了更多的软件。
Every time that we’ve made it easier to create software, we’ve exponentially created more of it.
—— Addy Osmani · [75:53]

指向原始笔记的链接

但在这个市场中，他们能够全力以赴，或者因为找不到更好的词，背负那些艰难的毛利率故事，然后找到一个买家，他不仅愿意看透这一点，而且实际上完全有能力解决它。
But in this market, they were able to go balls out, for lack of a better word, have those tough gross margin stories, and then find a buyer who not only was willing to look through it, but actually had every ability to solve it.
—— Jason Lemkin · [09:37]

指向原始笔记的链接

我是说在这种情况下，如果你像，我想详尽无遗地探索每一种蛋白质组合，我们可以直接把它变成一个金钱问题。
I’m saying in this case, if you’re like, I want to exhaustively explore every protein combination, we can just turn that into a money problem.
—— Martin Casado · [61:58]

指向原始笔记的链接

你得到的每一份数据都在某种程度上被人的解读、人的观点、偏见,以及他们自己的抱负等等所遮蔽。
Every bit of data you got was also sort of clouded with human interpretation, human opinions, biases, sort of like their own ambitions.
—— Cliff Obrecht · [35:29]

指向原始笔记的链接

而如果你真的必须思考你做的每一个决定，你哪里也去不了。
And if you had to really think about every decision you make, you’d get nowhere.
—— Jason · [12:24]

指向原始笔记的链接

顺便说一句，每一个骗局和骗局都始于催促你。
Every single scam and con starts with rushing you.
—— 嘉宾 · [71:45]

指向原始笔记的链接

我注意到的一点是，六个月前，甚至没有人跟我讨论过。但几个月前，我遇到的几乎每个人，公司的每位领导者都告诉我，要么他们害怕这种事发生在自己身上，要么这件事就发生在跟我说话的那个人身上。
Something that I noted is that six months ago, no one even discussed with me. But a few months ago, pretty much every person I meet, every leader in a company tells me either they are afraid of that happening to them or it personally happened to that person who was speaking with me.
—— Ofir Ehrlich · [17:01]

指向原始笔记的链接

而且我们不再处于 token 最大化（token maxing）的时代了。我们试图实际上为我们拥有的每一个 token 获取价值，因为它变得越来越贵。
And we’re not in the time of token maxing anymore. We’re trying to go to actually getting value for every token that we have, because it becomes more and more and more expensive.
—— Ofir Ehrlich · [27:18]

指向原始笔记的链接

硅谷每三年就会忘记一件事，那就是普通美国人并不追求效率。
Silicon Valley forgets every three years that the average American is not trying to be efficient.
—— 嘉宾 · [72:14]

指向原始笔记的链接

但每个人都想聊我们顺带发布的那个小东西。每一个人,每一场讨论都是:哦,是的,挺酷的,所有这些复杂的东西真的很酷,但那个你把它叫做 architect 的小东西才是我真正想要的。我怎么才能搞到它?
But everybody wants to talk about that one little thing that we launched on the side. Every single person, every single discussion was like, oh, yeah, it’s cool, all of these complicated things, it’s really cool but that little thing that you’re calling the architect is really, really, really what I want. How can I get my hands on that?
—— Andrew Antos · [03:10]

指向原始笔记的链接

我们发布那个东西之后头六周里签下的头十二、十四笔交易,每一单的定价模式都完全不同,因为我们在通过那些对话不断迭代。
The first twelve or fourteen deals that we signed in the first six weeks after we launched that thing. Every single one had a completely different pricing model because we were iterating through it, through those conversations.
—— Andrew Antos · [03:58]

指向原始笔记的链接

我所有最好的 AI 点子，都是从 Every 团队上的某个人那里抄袭来的。
I always like all of my best AI ideas, I’ve ripped off from someone else on the every team.
—— 嘉宾 · [34:59]

指向原始笔记的链接

如果其他所有AI公司都必须为内容付费,Google也应该如此。
And if every other AI company has to pay for content, so should Google.
—— Matthew Prince · [30:44]

指向原始笔记的链接

这就像有一个实习生时不时拍拍我的肩膀
It’s just like having an intern who taps me on the shoulder every now and then
—— 嘉宾 · [23:39]

指向原始笔记的链接

每一次合作都应该为我们产出几样东西。第一，对产品的反馈。第二，它需要创造出某种蓝图或打法手册，这样我们就不必再做那种类型的合作了。
Every engagement should produce a couple of things for us. One, feedback into product. Two, it needs to create some sort of blueprint or playbook, so we don’t have to do that type of engagement again.
—— Amandeep Khurana · [12:20]

指向原始笔记的链接

我要说，没有一个模型能在所有类别中都获胜。
And I’ll say that no one model wins every category.
—— Santi Garza · [17:23]

指向原始笔记的链接

随着时间推移，这实际上会让你花钱，因为每一轮都在喂入所有这些来自失败尝试和出错轮次的额外上下文。
That is actually going to cost you money over time because every turn is feeding all this extra context from failed attempts, turns gone wrong.
—— Santi Garza · [28:12]

指向原始笔记的链接

每次我都在透露游戏开发的一个小秘密：你去玩一款新游戏时，大多数时候你觉得在跟真人玩，但作为新玩家，你很可能是在跟机器人玩。
Every time I’m telling a little secret of the game development, you go to play a new game and most of the time you feel you are playing with another human, a people, but actually as a new gamer, high chance you are going to play with a bot.
—— Forrest Li · [31:43]

指向原始笔记的链接

看看现在正在发生的事，技术栈的每一部分都不止两个相关玩家，而是二十个。
If you look at what’s happening now, it’s like every part of the stack there’s not even two relevant players, there’s 20.
—— Anish Acharya · [04:10]

指向原始笔记的链接

理由很简单：对几乎每一个经济上有用的问题，我们已经跨过了智能阈值，超过那个阈值的任何东西都只是浪费。
Which is simply that we’ve crossed an intelligence threshold for almost every economically useful problem, and anything beyond that threshold is simply waste.
—— Anish Acharya · [25:49]

指向原始笔记的链接

人们就是没理解到，AI 因为会改变每一个行业，所以会带来百花齐放。
People are just not understanding that AI, because it transforms every industry, is going to lead to many flowers blooming.
—— Anastasios Angelopoulos · [04:48]

指向原始笔记的链接

我们应该尽量减少每天必须主动做出这些选择的人数，它应该自动为他们做正确的事。
We should try to minimize the number of people who have to actively make these choices every day, and just it should do the right thing for them.
—— Sharadh Krishnamurthy · [09:25]

指向原始笔记的链接

我们已经越过了人类会阅读每一行代码的时间点。
We’ve passed the point where humans will read every line of code.
—— JD · [39:57]

指向原始笔记的链接

我想说的每一点怀疑，都是确实让我夜不能寐的东西，但我认为有穿过黑暗森林的路，路的尽头有一份巨大的宝藏，只有一两条龙守着，所以必须冲一把。
Every bit of skepticism, I would say, is something that does keep me up at night, but I think there are paths through the dark forest and there’s a giant treasure with only one or two dragons at the end of it, so gotta go for it.
—— JD · [68:11]

指向原始笔记的链接

一个是我们会有泛化能力更好的系统，因为每当你增加一个搜索引擎、或向量数据库(它就是一种搜索引擎)、或某种步骤间的路由逻辑，这种人工整理就真的限制了系统做很多不同事情的能力。
One is we will have systems that can generalize better because every time you add a search engine or a vector database, which is a search engine, or some conditional logic to route between the steps, this human curation really limits the ability of that system to do a lot of different things.
—— Alexander Whedon · [30:24]

指向原始笔记的链接

我们想把算法范式的更替从每九年一次，缩短到每 12 个月一次。
We want to move from shifting the algorithmic paradigm every nine years to doing it every 12 months.
—— Alexander Whedon · [49:15]

指向原始笔记的链接

如果我们作为公司不能每六个月彻底重塑自己——最近感觉甚至比那更短——对我们优先事项、核心产品、用户感受进行非常重大的彻底重塑，我们就会输。
And if we as a company can’t completely reinvent ourselves every six months, which recently it’s felt even shorter than that, of complete very significant reinventions of our priorities, the core product, what users feel, we’re going to lose.
—— Roman Ugarte · [68:49]

指向原始笔记的链接

看看现在正在发生的事：技术栈的每一层，都不止两个相关玩家，而是大约 20 个。
If you look at what’s happening now, it’s like every part of the stack, there’s not even two relevant players, there’s like 20.
—— Anish Acharya · [04:50]

指向原始笔记的链接

所以两年的路线图在三个月内完成。而我们最难的其实是往路线图里加什么——顺便说一句，这简直是每个 PM 的幻想。
So two years of roadmap happens in three months. And we’re actually, our hardest problem is knowing what to add to the roadmap, which by the way, is like every PM’s fantasy.
—— Anish Acharya · [10:12]

指向原始笔记的链接

你使用的每一个废话词，都会稀释那些重要的词。
Every filler word that you use dilutes the ones that matter.
—— 嘉宾 · [05:51]

指向原始笔记的链接

每个创始人都会至少经历一次非常惨痛的教训：时间会杀死交易。
Every founder will at least once experience the very painful lesson that time kills deals.
—— 嘉宾 · [10:27]

指向原始笔记的链接

我或我的公司所取得的每一项重大进步，都是演进而非革命性的。
Every significant advance I or my company’s ever made has been evolutionary rather than revolutionary.
—— 嘉宾 · [16:02]

指向原始笔记的链接

你基本上是在向公司里的每个人传达：每个职位都是可以争取的，没有任何一个职位是他们只要足够努力、足够有才华就无法填补的。
You’re basically communicating to everyone in the company that every position is up for grabs, that there’s no position that if they work hard enough and if they’re talented enough, they won’t be able to fill.
—— 嘉宾 · [33:47]

指向原始笔记的链接

每一次都想着没有什么事是难到无法实现的，我想这也体现在我们的格言里，因为我们的格言是「不可能？也许吧」。
Every time thinking nothing is too hard to be achieved, which I think is also in our motto because our motto is impossible maybe.
—— Vali · [63:05]

指向原始笔记的链接

很大比例——我想说可能高达约 50%——的 Shopify 的 pull request（每次改动生产系统时写的东西）现在不是由传统意义上做工程工作的工程师创建的，而是来自我们公司公共聊天里的对话。
It’s that a very large percentage, I want to say it’s probably up to about 50% of pull requests in Shopify, which again, pull requests every time you change the production system, you write a pull request, are created now not by engineers doing engineering work in the traditional sense, but out of conversations in our common company chat.
—— Tobi Lütke · [07:31]

指向原始笔记的链接

那就是每十年里两年半的时间，被我浪费在我不想做或者不该做的事情上。
That’s two and a half years out of every decade that I pissed away doing things I don’t want to do or shouldn’t be doing.
—— Jim VandeHei · [10:50]

指向原始笔记的链接

你掌控的每一个小时，如果你在做你不需要做的事、不想做的事，你就是在挥霍一种非常、非常宝贵且有限的资源。
So every hour of the time that you control, if you’re doing something you don’t need to be doing, don’t want to do, you’re just frittering away what is a very, very precious and finite resource.
—— Jim VandeHei · [15:15]

指向原始笔记的链接

我想我的最大区别在于它实际上是在你的电脑上运行的。我目前看到的所有东西都在云端运行。它可以做几件事。如果你在电脑上运行它，它可以做每一件该死的事情。
I think my big difference is that it actually runs on your computer. Everything I saw so far runs in the cloud. It can do a few things. If you run it on your computer, it can do every effing thing.
—— Peter Steinberger · 来自原文

指向原始笔记的链接

② 出现在这些集

3 集

③ 关联

点进去有真内容 —— 本页主要出口

Claude · 智能体 · Codex · ChatGPT · Lenny · Yash · 风格指南 · Dan Shipper · Builder Pack · 复合

反向链接