从扣篮冠军到AI创业者:Nico Christie的数字人类与迭代哲学 EO 2025-11-16

有效的产品演示与用户价值

我认为一个有趣的启发式方法(heuristic: 一种解决问题的方法,通常通过经验法则或试错来发现解决方案)是,在产品演示中,当前的趋势是制作高度优化的视频,并谈论那些客户根本不关心的事情。

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I think one fun heristic for a demo is current trend has been like go have some hyper hyper optimized video and talk about things that like your customers do not give a uh give a about, right?

例如,我们从某某基金筹集了5000万美元,我们与这个人合作,这位投资者在我们的董事会中,对吧?

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For example, we've raised $50 million from XYZ fund and we work with this person and this investor is on our table, right?

使用他们产品的客户根本不关心这些,那么他们到底在和谁说话呢?这完全是表演性质的(performative: 指为了展示或给人看而做的,而非出于实际目的),是为推特上演的一出戏。

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Like no customer that's using their product cares at all about them. So who are they talking to? It's performative. It's theater for Twitter.

你的整个演示,甚至“演示”这个词都很愚蠢,你向客户介绍产品的方式应该是直接与客户对话。

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Your entire demo should be a demo is even a stupid word. Like your introduction to your customers should be talking to your customers.

它应该是:“嘿,这是你一直想要的产品。它具体是如何运作的,我将为你演示。”

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It should be, hey, here's this product that you've always wanted. Here's exactly how it works and I'll walk you through it.

所以,我们的产品发布总是精确的2分钟,其中大部分时间都用来清晰地展示用例并向人们展示价值。

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So our launches are always 2 minutes exactly and they spend the majority of them just walking through the use cases and showing the value to people in a way that is crystal clear.

我们的发布在LinkedIn上获得了大约400万次观看,在Twitter上也获得了大约400万次观看。

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And it got I think 4 million views on just LinkedIn. It got like 4 million views on Twitter as well.

而在Reddit上,我们可能达到了1000万次观看,以及超过1万条评论,甚至更多,都在请求访问权限。

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Uh and then on Reddit, I think we probably hit like 10 million views in like 10,000 plus comments or or more than that even asking for access.

对你的演示的正确回应应该是:“天哪,这些人要赚大钱了!”

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The right response to your demo should be, "Holy crap, these people are going to make so much money."

Fundamental与Shortcut:构建数字人类

大家好,我是Nico,Fundamental的联合创始人,也是Shortcut的创始人兼首席执行官。

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Hey, I'm Nico. I'm the co-founder of Fundamental. I'm also the creator and CEO of Shortcut.

Fundamental是一个研究实验室,我们大约18个月前从麻省理工学院(MIT)独立出来,我的联合创始人曾是那里的教授。

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Fundamentals is a research lab. We spun out of MIT about 18 months ago, where my co-founder was a professor.

从那时起,我们一直在追求构建数字人类(digital humans: 指通过人工智能技术创建的、具有人类特征和交互能力的虚拟实体)。

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And since then, we've been on the pursuit of building digital humans.

而Shortcut是我们的第一个成功产品,它是第一个超级Excel电子表格代理(superhuman Excel spreadsheet agent: 指一个能够超越人类能力,自动化处理Excel任务的智能软件代理),可以自动化你在Excel上的大部分工作。

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And Shortcut's our first winning product, uh, which is the first superhuman Excel spreadsheet agent that can automate most of your work on Excel.

从表面上看,你很难想象一个迈阿密街头篮球扣将和一个麻省理工学院的教授会一起创业。

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On the surface, it's really, you wouldn't picture like a Miami pro street ball dunker and a MIT professor starting a business together.

我可以说,我不仅是迈阿密最好的扣将,而且可以说是世界上最好的扣将之一。

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I was arguably not just Miami's best dunker. I was arguably one of the very, very best dunkers in the world.

在大多数方面,这与我现在所做的事情完全不相关,除了我知道在某个领域做到世界顶尖需要什么,以及它看起来是什么样子。

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In most ways, it's completely uncorrelated and unrelated to what I'm doing now, except for I know what it looks like and what it's required to be the best in the world at something.

追求卓越的迭代哲学

做事情本身就是把事情做好的最佳方式。我曾达到47英寸的垂直弹跳高度(vertical: 指从地面垂直向上跳起的最高点),但从46英寸提升到47英寸,我付出了大约三年的时间来全身心投入。

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Doing the thing is the best way to get good at the thing. I hit a 47in vertical, but to get from 46 to 47 took like 3 years of dedicating my life.

你扣篮一千次,然后第二天再提高一英寸,然后一次又一次地重复。

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and you dunk on it a thousand times and then the next day you raise it by one inch and you do it again and again.

你只需投入大量时间就能把事情做好,在你投入足够的时间并精通之前,你没有资格涉足其他技术或领域。

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You can just get good at things by putting in many many hours and you have no business breaking into some other technology or some other field or whatever until you've put in your hours and gotten good at it.

值得庆幸的是,互联网和人工智能提供了无限的资源供你学习。

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and thankfully there's unlimited resources the internet and AI for you to get good.

你得到你应得的,如果你不吃苦,你就没有付出足够的努力。

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You get exactly what you deserve that if you're not suffering you're not doing things enough.

我相信你需要吃苦才能真正做成任何有意义的事情。

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I believe you need to suffer in order to really do anything significant.

我从小就知道自己天赋异禀,我总是我所在城市里最厉害的。

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I knew at a young age that I was extremely gifted as in I was always the local best in my city.

这带来了一种自信,让我可以投入越来越多的精力。

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And what that caused was a sort a sense of confidence that like I can start to work more and more on this.

然后,这建立了一个非常积极的反馈循环:我因为热爱而变得越来越好,然后我就会更加热爱它。

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And then what that built was a really positive feedback loop that I would get better and better at it because I loved it and then I would love it more.

然后我开始遇到像我一样的人,并开始旅行。

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And then I would start to meet people who were just like me and I would travel.

我最终写了一本书,名为《我是如何跳得比勒布朗·詹姆斯还高的》("How I Learned to Jump Higher than LeBron James"),卖出了数万册。

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I ended up writing a book called How I Learned to Jump Higher than LeBron James. Sold like tens of thousands of copies.

我能够养活自己,但我知道这无法规模化,也无法持久。

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I was providing for myself, but I knew that this wouldn't scale and it wouldn't last.

坦白说,我已经实现了我在扣篮方面所有的梦想。

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And and frankly, I actually had accomplished all of what I had ever dreamed for in dunking.

这持续到我大约25岁。甚至在22岁左右,我就知道除了扣篮之外,我还需要一份传统职业来养活自己。

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And that went till I was about 25. And even at about 22, I knew that I would need a traditional career to support myself in addition to that.

所以,当我从扣篮领域退出时,我奇怪地、自闭式地(autistically: 在此语境中指专注于某事,不顾其他)决定要精通编程。

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So, when I moved out of dunking, bizarrely, autistically decided I'm going to get good at programming.

我拥有数据科学硕士学位,并且大量使用过Python和R。

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I had done a masters in data science. I had used Python and R a bunch.

我想,你知道吗?我每天都要刷LeetCode(Le Code: 一个在线编程平台,提供算法和数据结构题目供程序员练习)。

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Um, and I thought, you know what? I'm just going to grind uh le code every single day.

我每天花好几个小时这样做。

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And I did that for hours a day.

当我想要进入麻省理工学院时,那是我第一次认真对待学业。

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Uh when I wanted to get into MIT, it was the first time I had ever taken academic seriously.

我意识到考满分是完全可行的,这只是一场游戏化的系统。

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And I had realized that getting a perfect score was totally doable. Um it was just a game of gamified system.

你应该做的是尽可能多地参加考试并进行迭代。

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Uh and what you should do is take as many tests as possible and iterate.

所以我拿到了所有曾经出现过的模拟考试,然后每天做一套,这需要两到三个小时。

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So I got every practice test that's ever happened and I did one a day. Uh which takes two to three hours.

然后我从每个分数中获取反馈,并再次练习。

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你可以想象,分数会不断攀升。

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And then I got the feedback from every single score and I would do it again. And like you can imagine the scores would climb.

我做的另一件非常奇怪的事情是,我统计了口语部分词汇表中出现过的每一个单词,并学习了每一个词汇。

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The other one that I did which is very bizarre is I accounted for every word that has ever shown up in the vocabulary for the verbal section and I learned every vocab word.

没有一个词是我不认识的。

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There wasn't one word that I would didn't know.

这听起来可能是一个很愚蠢的轶事,但我当然在口语部分获得了满分,并获得了麻省理工学院的全额奖学金。

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And this is just like I I think it's a very silly anecdote but of course I got a perfect score on the verbal and I got into MIT with a full ride.

但这仅仅是因为我决定你可以把这些事情做好。

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But it was because I just decided that like you could get good at these things.

所以我们谈论端到端迭代(end-to-end iteration: 指从开始到结束的整个流程中,不断进行测试、反馈和改进的循环)作为这家公司的关键哲学,但它也一直是我生活中的一个原则。

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So we talk about like end to end iteration as a key philosophy of this company but also it's always been one in my life.

端到端迭代就像是,你希望在周五之前得到一个分数并达到80%。

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So end to end iteration is like you want to score by Friday and you want to hit 80%.

那么你最好在周一早上就有一个分数,哪怕只有1%也没关系。

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You better have a score by Monday morning of doesn't matter could be 1%.

但从那时起,每次迭代周期你都能有所改进。

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But from there every time you have an iteration cycle you can improve.

你不要做的是在无关紧要的周边事务上浪费时间,这些事情并不能帮助你最快地达到目标。

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What you don't do is set up the things in you know in the periphery that don't help you get there fastest.

学习并在任何领域达到世界级水平,实际上都是一个相对相似的过程,它需要快速迭代、专注,以及相信你的上限实际上比其他人可能认为的要高。

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Learning and getting world class at anything is actually a relatively similar thing regardless of the field and it requires quick iteration specificity uh and the belief that like your ceiling is actually higher than other people probably think it is.

从金融到科技创业的转型

所以我实际上找到了第一份工作,是做一名金融顾问,但我对咨询或金融没有任何热情或根本兴趣。

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So I actually took the first job I can find which was as a finance consultant but I had zero passion or fundamental interest for consulting or finance.

直到我对技术产生了真正真实的兴趣,我才实现了跨越,跳出了金融咨询领域。

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It took until a real authentic interest in technology that I actually bridged that I jumped out of finance consulting.

作为第一批员工,我加入并创办了一家体育科技公司,将这两个兴趣结合起来,这成为了我进入编程、创业和创办公司的敲门砖。

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You know as the first hire I joined and started a a sports tech business that brought those two interests together and it was my doorway into coding entrepreneurship and starting companies.

我主动提出免费工作。

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And what I offered to do was do free work.

所以我从12月到8月免费工作。

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So I worked for free from December to August.

我为公司提供了重要的价值,以至于当我们完成第一轮融资时,我理所当然地成为了创始团队的一员和第一批员工。

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I provided instrumental value to the company to the extent where when it was time and we had closed our first fundraising round, it was obvious that I should be joining as a part of the founding team and the first hire.

我学会了如何打造人们喜爱的产品和业务,如何招聘和扩展。

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And um I learned what it meant to build like a product people love and a business and to hire and to scale.

我知道我想和那些在最大、最厉害的领域——人工智能——中最优秀的人一起作为联合创始人来做这件事。

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And I knew that I wanted to do it as a co-founder with people who were the best in the biggest and baddest pool which is AI.

Fundamental的组织架构与未来愿景

我当时在麻省理工学院,在Robert的实验室工作。

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So I was actually at MIT. I was working out of Robert's lab.

Robert是世界上顶尖的科学家之一。

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Uh Robert is one of the premier scientists in the world.

Robert有一篇关于“机器能否嗅探”的论文,比如人工智能或机器能否嗅探?它们能否拥有长期自主性?它们能否协作?它们能否有时间感?

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Robert has a paper onactor smelling like can can AI or machines smell? Can they have long-term autonomy? Can they collaborate? Can they have a sense of time?

所有这些在神经科学中都不是什么禁忌词。

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Like all of these things in neuroscience are not nearly as dirty of words.

事实上,几十年来人们一直在尝试对它们进行建模。

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Uh and in fact they have been attempted to be modeled for for for very many decades.

所以当我们谈论构建数字人类时,我们的意思是远远超越智能,智能只是我们是谁的一个关键组成部分,但它并不是真正定义人类的全部。

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So when we talk about building digital humans, we mean going far beyond intelligence. uh as just a key component of who we are, but not not not not really what it means to be a human.

因此,我们非常刻意地组织我们的公司。

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So, we're very very intentional about how we organize our company.

这就像一个三头怪兽。

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This is like a three-headed beast.

我们有研究部门,根据定义,会有很多事情并行发生,其中一些会在短期或长期内取得成果,有些可能永远不会。

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We have research uh which definitionally will have like a bunch of things happening in parallel. Some of which will be fruitful in the short term, long term, some of it might not ever be.

然后你有一个核心产品或核心平台。

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Um and then you have a core product or or core platform.

这个平台是我们进行研究和构建产品的基础。

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And this platform is is like the basis for how we do research and for how we build products.

但对我们来说,我们的核心论点,我们的核心技术平台是构建强大的代理,特别是多代理框架(multi-agent frameworks: 指一个系统,其中多个独立的智能代理协同工作以实现共同目标)。

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But for us, our core thesis, our core tech platform is building strong agents, specifically multi-agent frameworks.

所以你有研究部门,有这个核心工程平台,然后从那里你也有产品,产品可以基于这个核心平台构建,以给我们带来优势。

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So you have the research lane, you have this core engineering platform and then from there you also have products and products can be built off of this core platform to give us advantage.

其中一个产品就是Shortcut,当一个产品成功时,它必须在其潜在机会方面不受大规模限制。

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and one of these products is shortcut and when a product succeeds it has to be massively unconstrained in relation to its potential opportunity.

所以Shortcut将自动化所有的电子表格工作。

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So shortcut is going to automate all spreadsheet labor.

因为我们如此刻意地安排了这家公司的运作方式,所以一个突破性的成功,甚至一次失败,都不会改变我们的路线图。

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So because we are so intentional with how we orchestrated this company, a breakout success or even a failure don't change anything about our roadmap.

特别是我们一直非常清楚,我们将在游戏领域开始我们的研究和公司。

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especially because we were always very clear about we were going to start um our research and start our company in games.

我们非常坦诚地承认我们都没有游戏经验。

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We were very very honest about like none of us had games experience.

但我们知道这是一个进行快速迭代的绝佳试验场,就像我说的,你可以承担低风险。

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Um but we knew it was such a great playground for rapid iteration like I talk about like you can fill in low stakes right.

但我们对如何构建人们喜欢的产品,如何盈利,以及如何在游戏领域与人合作和招聘一无所知。

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but we didn't know the first thing about building a product that people like or monetizing or working with people and hiring in in games spec specifically.

所以与Speedrun的合作对我们来说是一个巨大的转折点。

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So working with speedrun was a massive game changer for us.

它也以不同的方式教会了我们讲故事的价值。

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It also taught us the value of storytelling in in some different ways.

我们习惯于从科学和完成任务的角度来理解它,而不是从我们如何构建事物的角度。

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We're used to it in terms of you know the science and accomplish mission but not in terms of like how we build things.

这对我们来说意义重大。

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Um and that was that was huge for us.

然后我们甚至设定了一个内部截止日期,我们本不必这样做,那就是我们每周二(我想是)向Speedrun的合作伙伴展示我们的进展。

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And then we even created an internal deadline we didn't have to do in which we would present our progress every Tuesday I think it was to the partners at speedrun.

他们说:“你们不必这样做。”我们说:“不,这正是我们需要的迭代周期速度。”

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and they were like you don't have to do this. We're like no this is like the right iteration cycle speed for us.

这带来了巨大的益处。

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and that was massively beneficial.

我认为这在我们的文化中灌输了一种对速度的狂热追求,我们每天都在发布产品。

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I think it's instilled in our culture like a very maniacal sense of speed where we ship every day.

我非常擅长冲刺式执行。

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I'm very good at like executing in sprints.

Robert是一个非常擅长宏观思考的人。

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Um, Robert is a very very big picture thinker.

事实上,他大约在17、18年前就决定要创办自己的公司。

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Uh, in fact decided that he was going to build his company more or less when he was 17, 18 years ago.

如果他知道自己是对的,他可以长时间忍受错误。

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Like he's okay with being wrong for a long time if he knows he's right.

我发誓要找到那些对自己的工作和使命抱有同样感受的人。

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Uh, and I vowed to find people who felt that way about their work and their mission.

这就是我们现在拥有的团队。

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And that's what we have here.

我们总是描绘同样的蓝图。

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And we always painted the same picture.

你应该看看我们第一次演示文稿上的图片,那是我们关闭实验室的时候。

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You should see the picture on our first like pitch deck when we when we were shutting down the lab.

它从游戏到多代理(multi-agent: 指由多个智能代理组成的系统),再到生产力,最终阶段是具身化(embodiment: 指将抽象的智能或意识赋予物理或虚拟身体,使其能够与环境交互)。

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It was from games to multi- aent to productivity to embodiment being the final stage.

现在有了Shortcut,我们正处于生产力阶段,但我们甚至在Roblox上拥有评分最高的AI游戏,以及其他一些实验。

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And now with Shortcut, we're at the productivity stage, but we even have, you know, the top rated AI game in Roblox. Um, and a few other experiments over there.

投入与热情的价值

我认为这是我个人的一个弱点,我是一个充满激情的人,对很多事情都充满热情。

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You know, I think this is one of my weaknesses as a person is that I am a man of like a passion and passions.

我热爱音乐,我热爱很多很多东西。

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I love music. I love I love so many things.

所以对我来说,我无法想象不知道自己想做什么。

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So for me, I can't imagine not knowing what you want to do.

也许在肤浅的层面上,我可以说,把事情做好是开始热爱它们的好方法。

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Um I maybe at the shallow level I can say getting good at things is a good way to start to love them.

所以,投入足够的时间给自己一个机会去热爱某件事,可能是你最好的机会。

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So put in enough time to give yourself a chance to love something is probably the best chance you have.

我记得学吉他的时候,觉得手指很疼,不确定自己是否喜欢。

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I I remember learning guitar and thinking this really hurt my fingers and I wasn't sure I liked it.

但我记得大约一周后,我开始真正爱上它了。

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Um but I remember about a week in I started really loving it.

所以,是的,每天工作14小时是最低要求,这是基本功。

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So yeah, 14 hours a day is like the minimum. It's tablesticks.

我每天大约早上6点到公司,晚上7点离开。

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I get in every day around like 6:00. I leave at like 7:00.

我想在孩子睡觉前见她一面。

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I want to see my kid before she goes to sleep.

然后我晚上继续工作。

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Um, and then I work at night.

这可能是一个对数尺度(log scale: 一种非线性尺度,其中每个刻度表示前一个刻度的固定倍数,常用于表示增长率或大范围数据)的关系。

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It's probably log scale.

也就是说,你最初投入的时间与某种回报递减的上限之间存在着非常强大的关系。

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Uh, as in, you know, there's a very powerful relationship between the initial time you put into something and there's, you know, a some sort of ceiling in which like the returns diminish.

关键在于,当达到上限并且长尾效应趋于平缓时,那才是大部分价值产生的地方。

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The thing is is that like as the ceiling happens and as the long tail flattens, that's actually where the majority of the value occurs.

所以,在任何事情上从95百分位提升到98百分位,比从1百分位提升到95百分位更难。

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So that like getting from the 95th to 98th percentile in anything is harder than getting from 1% to 95.

但95百分位和98百分位之间的差异,就是一切。

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Um, but the difference between the 95 and 98 is like it's it's everything.

这就是你如何在人群中脱颖而出,以及如何真正创造价值。

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It's it's how you distinguish yourself amongst others and how you really create value.

所以,只要你有了这个框架,你就会觉得即使进步微乎其微,也变得非常可以忍受。

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So if if as long as you have that framework for that, it actually becomes very tolerable to understand that you might see very menial improvements.

你热爱的事情,最终你会非常擅长。

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The things you love, you end up getting really good at.

如果你非常擅长某件事,你就能够提供并获取很多价值。

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And if you get really good at things, you're able to provide and capture a lot of value on those things.

我知道很多人在职业扣篮等领域赚了很多钱,但这并没有毒害他们的热情。

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Um, I know a lot of people who make a lot of money in professional dunking, for example, and they it hasn't poisoned their passion.

我认为如果你足够热爱它,那就不是问题。

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I think if you really love it enough, it's not a concern.

但你应该找出那些消耗你精力的地方,并尽可能地将它们从你身边抽象开来,即使这会损害你的业务。

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But you should find the parts that that tank the well and abstract those away from you as much as possible, even if it hurts your business. I think

📌 文中提及的人物和组织

人物: LeBron James

公司/组织: MIT

媒体/书籍: How I Learned to Jump Higher than LeBron James