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我们现在有了这套基础设施,接下来就该轮到开发应用了。
We've got this infrastructure, and now it's time for the applications to be built.
我觉得,我们以前从未像现在即将对智能代理那样,把自己的这么多东西交托给一项技术。
I think we have never handed over so much of ourselves to a technology before than we're about to do with agents.
作为一家初创公司,你现在必须抓住每一个能争取到的优势。
As a startup, you need every advantage you can get right now.
如果我现在是哪家初创公司的CEO,我肯定会拍着桌子强调,一定要把代币消耗最大化。
If I were the CEO of a startup right now, I would actually still be pounding the table to maximize token spend.
我们喜欢投资那些能彻底摧毁市场和现有商业模式的企业。
We like to bet on businesses that obliterate, that literally obliterate markets and existing business models.
我觉得,现在做AI产品,关键在于抢第一,而且要快得不能再快。
I think this era of building AI products is in many ways about being first and about moving really, really fast.
传统媒体在很多方面,其实已经不行了。
I think traditional media in many respects is dead.
这里是20 VC,我是哈里·斯蒂宾斯,今天非常高兴迎来一位相识十年的老朋友——迈克·米尼亚诺,他是USV最新任命的普通合伙人。
This is 20 VC with me, Harry Stebbings, and today I'm thrilled to welcome a ten year long friendship to the show, Mike Mignano, who is the newest general partner at USV.
在加入USV之前,他就已经是Suno和Granola的早期投资人了。
He's also one of the early investors in Suno and Granola in his prior days before joining the USV partnership.
他曾经是创业者,多年前把公司Anchor卖给了Spotify。
He's a former founder, having sold his business, Anchor to Spotify many years ago.
今天我们来探讨一些真正棘手的问题:模型层公司和应用层公司,到底谁更能获取价值?
And today, we discuss the really hard questions, which is how much of the value do model layer companies accrue over the application layer?
路由层公司把流量导向模型提供商,这种模式本身有没有价值?
Is there any value in routing layer companies and routing to model providers?
我们该怎么从根本上思考,开放和封闭,谁会最终胜出?
And then how do we fundamentally think about who wins, open versus closed?
这对现在的风险投资意味着什么?
And what does that mean for venture investing today?
接下来和Mike的对话里,这些话题还有更多深入的内容。
That and so much more in this discussion with Mike.
不过在正式开始之前,创业者在每个成长阶段面临的挑战都不一样。
But before we dive into the show today, founders face a different set of challenges at every stage of growth.
对于dMatrix的联合创始人兼首席执行官西德·沙特来说,摩根大通提供了指导与专业支持,帮助他顺利应对接下来的挑战。
For Sid Shait, cofounder and CEO of d Matrix, JPMorgan delivered the guidance and expertise to help navigate what came next.
他把dMatrix的成长和国际扩张归功于摩根大通细致入微的服务方式。
He credits JPMorgan's high touch approach with supporting Dematrix as it grew and expanded internationally.
无论你处于创业初期,还是准备进入新市场,摩根大通都能以切实的自信帮你应对复杂局面,提供量身定制的建议和深厚的行业洞察。
Whether you're in the early days or expanding into new markets, JPMorgan helps startups navigate complexity with real confidence, offering personalized guidance and deep sector expertise.
了解更多摩根大通如何支持创业者,请访问 jpmorgan.com/grow-without-limits。
Find out how JPMorgan helps founders at jpmorgan.com forward slash grow without limits.
摩根大通,是创新经济的银行。
JPMorgan is the bank of the innovation economy.
当摩根大通为你打理财务时,Navan让你的团队高效运转。
While JPMorgan powers your finances, Navan keeps your team moving.
如果你是财务人员,一定懂月底的噩梦——到处追要报销单据,还得跟那些员工讨厌用的过时工具较劲。
If you're a finance professional, you know the month end nightmare chasing down missing receipts and fighting with outdated tools that your employees hate using.
是时候进入Navan的时代了。
It's time to enter the era of Navan.
Navan 是一个由人工智能驱动的差旅与费用管理平台,让你对每一笔支出都能实时掌控、一目了然。
Navan is an AI powered travel and expense platform that gives you control and real time visibility into every dollar spent.
对员工来说,使用体验也同样流畅。
The experience is seamless for employees too.
他们只需七分钟就能完成一次行程预订,远低于行业平均的四十五分钟。
They can book a trip in just seven minutes, which is a fraction of the forty five minute industry average.
由于人工智能会自动执行报销政策,你可以彻底摆脱繁琐的数据录入,专心推动业务增长。
Because the AI handles policy enforcement automatically, you can finally focus on driving business impact instead of manual data entry.
节省高达百分之十五的总预算,听起来怎么样?
How does saving up to 15% on your total budget sound?
很不错吧?
Pretty good?
正因如此,像Visa、Figma、Stripe和Anthropic这样的全球顶尖企业都已经转用了Navan。
Well, that's why the world's best companies like Visa, Figma, Stripe, and Anthropic already have made the switch.
前往 navan.com/20vc 开始体验,还有机会赢取两张美国本土任意目的地的商务舱机票。
Visit navan.com/20vc to get started and enter to win two business class flights anywhere in Continental US.
无需购买即可参与。
No purchase necessary.
适用规则。
Rules apply.
今天就去了解一下吧。
Check it out today.
当Navan让您的团队高效运转时,Base 44帮您更快地构建产品。
While Nivan keeps your team moving, Base 44 helps you build faster.
您有想法,但用大多数AI工具时,总会遇到瓶颈。
You have the idea, but with most AI tools, you hit a wall.
从设置、配置,到您设想的功能和实际交付之间的差距。
The setup, the config, the gap between what you pictured and what you actually ship.
而Base 44正是让这个瓶颈消失的地方。
Well, Base forty four is where that wall disappears.
您只需描述一下需求?
You describe it?
没错。
Yeah.
Base 44 直接帮你生成。
Base forty four builds it.
应用、网站、AI代理,真正能运行的产品,只需用日常语言,几分钟内就能搞定。
Apps, websites, AI agents, real working products, built in minutes using nothing but plain language.
所有东西都已内置:后端、数据库、身份验证、托管,所有繁重的工作都由系统处理,你只需要专注在创作的节奏里。
And it's all batteries included, the back end, the database, the authentication, the hosting, the heavy lifting is handled, so you just really stay in the flow.
这不只是帮你甩掉琐碎事务,更让你获得优势,突破自己原本以为一个人做不到的边界。
This doesn't just take the busy work off your plate, but it gives you an advantage and pushes you past what you thought you could build alone.
所以在这个市场里,快只是基本要求。
So in this market, fast is the baseline.
要想赢,你必须抢在别人前面。
To win, you just have to be first.
Base 44 就是这个优势——跳过调试的弯路,直接带你抵达突破点。
Base 44 is that edge, the move that skips the troubleshooting and gets you straight to the breakthrough.
去 base44.com 创建你的下一个项目。
Build your next thing at base44.com.
就是 base44.com。
That's base44.com.
你已经到达目的地了。
You have now arrived at your destination.
迈克,我真的超期待这次。
Mike, dude, I am so looking forward to this.
我们第一次做节目时,你还是 Anchor 的联合创始人。
We first did our show when you were cofounder of Anchor.
没错。
Correct.
十年前的事了。
Ten years ago.
十年前。
Ten years ago.
我查了一下
I looked
资料。
it up.
那时候我还未成年,我记得 Anchor 当时在纽约和创业圈里火得一塌糊涂。
I was underage, and and I remember Anchor was, like, the hottest thing in New York and in startups at the time.
我当时也就十八九岁,节目录制前我紧张得要命,心想:真的假的?
And I was I was legit 18, 19, and I was absolutely shitting myself before our show because, like, you were the Really?
对。
Yeah.
那时候你可是最火的冒险新星。
You were the It Boy Adventure at the time.
也就一小会儿。
For a minute.
大概五分钟吧,顶天了。
Like five minutes, maybe, most.
现在你有二十秒时间了,我可真盼着你赶紧说呢。
Well, now you get twenty seconds, so I'd appreciate it.
其实我想先问你一个我常问优秀创始人的问题。
Dude, I wanna start, actually, with something that I ask a lot of great founders.
考虑到你的创业背景,我想特别问问你的看法。
But given your founding roots, I wanna ask it of you.
你是更怕失败,还是更享受胜利的快感?
Are you motivated more by the fear of failure or by the thrill of winning?
我觉得两者都有一定影响。
I think both to some extent.
我觉得对失败的恐惧非常重要。
I think the fear of failure is very, very, very important.
我坚信,真正了不起的事、了不起的公司、了不起的产品和了不起的人,往往都源于限制。
I actually strongly believe that great, great things, great companies, great products, great people come from constraints.
而失败,正是最极端的一种限制。
And I think that failure is the ultimate form of a constraint.
你刚才提到了Anchor。
You know, you talked about Anchor.
前几天有人问我,你这一生中,什么时候做出过最出色的工作?
Somebody just asked me the other day, they said, At what point in your life did you do your best work?
我认真想了想,说实话,我觉得自己最出色的工作是在公司只剩三个月现金流的时候做的。
And I thought about it, and the honest answer to that question was, I believe I did my best work when we were three months out of cash.
就在我们快没钱、快撑不下去的时候,反而做出了最好的成果。
When we were about to run out of money and when we were about to fail is when we did our best work.
当你清楚地知道,如果不扭转局面就一定会失败时,反而特别能让人清醒。
It's so clarifying to know that you're going to fail unless you turn the thing around.
所以我觉得,失败其实是一种非常强大的驱动力。
And so I think failure can be an incredible motivator.
但同时,你也得有一个极其雄心勃勃的目标,对吧?
But I also think that you have to have an insanely ambitious mission that you're trying to accomplish, right?
你得想赢。
You want to win.
你有一种想要攻克极难目标的强烈渴望。
You have this hunger to achieve something really hard.
所以我觉得,想要成功,就得同时在心里装着这两样东西,我自己也一直在这么做。
So I actually think you need to hold both things in your head to be successful, and I and I try to do that.
我们之前聊到过,那些很多年前就有的领悟。
We were talking before about, like, insights that we had years ago.
当年做Anchor的时候,你坚持要录出自然对话的感觉,让听众直接感受。
Years ago with Anchor, you wanted a very natural conversational style record and let people listen in.
而我总是觉得,我们得做精心设计的。
And I was always like, we want manufactured.
你那时候就开始做片段了?真的吗?
You were doing clips way before clips Oh, were really?
你在做片段。
Were doing clips.
我完全认同对音频做精细修饰的做法,但我们在这点上意见不同。
I was absolutely into the airbrushing of audio as we do and we disagreed on that.
你现在怎么看这件事?
What are your thoughts on that now?
我觉得现在内容太多了,工具也进步太多了,随便弄弄就能做出一个听起来或看起来相当不错的播客。
I think that there's so much content, and the tools have gotten so much better that out of the box, you can have a really, really decently sounding or looking podcast with almost no effort.
所以如果你想脱颖而出,就得做得更多、更好。
And so if you wanna break out, you actually have to go above that.
基本标准必须是卓越。
The baseline has to be excellence.
基本标准必须是精良的剪辑。
The baseline has to be incredible editing.
基本标准得像你十年前说过的那句话——每分钟要有洞见。
The baseline has to be, you know, a phrase that you used back, I remember, ten years ago, insights per minute.
所以现在我特别支持播客和YouTube视频做到极致的制作水准。
And so now I'm actually a huge fan of insanely high production value when it comes to podcasts, when it comes to YouTube videos.
我们之前稍微聊过一点。
You know, we were talking a little bit before.
你之前问过我最近在做些什么内容。
You asked me about some of the content I've been producing.
我们确实想尝试一些完全不一样的东西——走出录音棚,用多台摄像机、多个麦克风,把制作水准拉到极致,因为我觉得这才是脱颖而出的唯一办法。
And, you know, we've tried to do something very, very different, where we actually break out of a studio and we bring in multiple cameras and multiple mics, we try to do something very, very, very high production value, because I think that's the only way to stand out.
所以,说到底,你当初说得对。
So, anyway, I think you were right.
但我是花了十年时间才终于认同这一点的。
But it took me ten years to agree with
你没错。
you.
听我说。
Listen.
我其实就是在等你这句话。
I was totally fishing for that.
我早就说对了。
I was right.
我觉得每分钟提供的洞察确实很重要。
I I do I do think insights per minute is important.
我也觉得价值实现的速度非常关键。
I also think time to value is very important.
没错。
Yeah.
人们总问一些特别蠢的问题,比如‘你小时候在哪长大的?’
People ask the most stupid fucking question, which is, like, tell me, like, where did you grow up?
问‘你小时候在哪长大的’这种问题,几乎得不到什么有用的信息。
Very little is often learned in the where did you grow up.
你那版的问题是什么?
Where's your what's your version of that question?
我想直接问:你是更怕失败,还是更想要成功?
I wanna go straight to the, are you motivated more by fear?
一上来就这么问,就能立刻抓住对方的注意力——做内容,得早点设钩子。
Like, straight away there, I have, like, someone on a You have to create hooks in content pretty early.
我觉得在内容创作上,你非得要么特别大,要么特别小才行。
I also think very much, like, venture, you have to be either really big or really small in content.
你要么就是个很自然的青少年,把手机往边上一放就开始录,要么就得是洛根·保罗、MrBeast,或者像USV风投这样的大玩家。
You have to be very natural teenager putting their phone up on the side and hitting record, or you are Logan Paul or MrBeast or like USV Ventures.
伦敦到处都是大型制作公司,规模大得多。
Studios all over London, it's much bigger.
那些中等规模的公司,想在会议室里搞内容,根本行不通。
The mid tier firm doing it from their kind of conference room office, don't work, baby.
对。
Yeah.
你必须站在两极。
You gotta be on the extremes.
我完全同意你的看法。
I I I totally agree with you.
说到两极和限制,现在做投资的环境就是个资金极度紧张的世界。
Speaking of being on the extremes and constraints, Lightspeed is a cash constrained world to be in.
Lightspeed那边可真不容易。
It's tough over at Lightspeed.
你后来去了资金特别雄厚的USV,我这当然是开玩笑的。
And you made the move to the extremely well funded USV, and I'm obviously joking.
相比之下,我们是从一个庞然大物转向了资金极度紧张的USV。
We're going from the very large to the very small constrained USV in comparison.
你为啥决定跳过去呢,老兄?
Why did you decide to make that move, dude?
我选择去USV,是因为我是纽约人。
I decided to go to USV because I am from New York.
我一辈子都在纽约或者附近待着。
I've always been in or around New York.
十年前我在纽约做Anchor的时候,就认识了USV。
And as a builder, when I was building Anchor in New York ten years ago, I got to meet USV.
虽然他们当时没投我,但那段经历特别棒,还跟我成了特别长久的朋友。
And I had an incredible, despite them passing, had an incredible experience, started a very, very long friendship.
我最后成了他们基金的有限合伙人。
I ultimately became an LP in the funds.
我特别欣赏他们的能力,也欣赏他们愿意坚持鲜明立场,始终围绕清晰的投资主题做决策,哪怕市场当时更倾向于随大流。
And I just really always appreciated their ability and their willingness to be really opinionated and to be very, very thesis driven, even at times in which the market said it made sense to be very consensus driven.
当然,市场也确实有过几次,包括最近,随大流反而让基金赚得盆满钵满。
And by the way, there have been times in the market, including recently, where being consensus driven has been extremely valuable and extremely lucrative as a fund.
但我做事、创业、下注的方式,就是喜欢基于明确的主题来行动。
But the way I like to work, the way I like to build, the way I like to bet is by being thesis driven.
我也明白,坚持主题其实风险很高,对吧?
And I recognize that being thesis driven can also be super risky, right?
如果你押错了主题,那就全盘皆输。
If you bet on a thesis and you're wrong, you miss and you fail.
不过,坚持主题也不一定就是标新立异。
Well, the shoplists that thesis driven can also be conventional.
我真正担心的是,万一未来的赢家都是靠冒险,而从现在开始,所有成功都变成随大流的结果呢?
And so what I'm actually worried about is that what if the winners adventure, and what adventure is just from this point out consensus driven?
所以我觉得,我们正从一个AI基础设施大规模建设的时期走出来。
So I think that we are coming out of a time in the market where we have went through a massive infrastructure build out in AI.
那些新兴公司,正在打造全新技术的公司,都需要巨额资金来搭建基础设施。
We've had these new companies, these companies building these brand new technologies, which have required vast amounts of capital to build out the infrastructure.
我指的当然是那些实验室。
And obviously, I'm talking about the labs.
我说的是OpenAI、Anthropic、xAI、SpaceX这些公司。
I'm talking about OpenAI, Anthropic, xAI, SpaceX, etcetera.
它们确实需要大量资金投入。
And those required a lot of capital.
但它们也造出了令人惊叹的技术,带来了数百亿,马上就要创造上万亿美元的价值。
And they produced magical technology that has generated billions we're about to see trillions of dollars in value.
但现在,这些基础设施已经建好了。
But now that infrastructure is built.
这让我想起互联网早期,那时候我们铺了光纤、建了宽带,之后才有了新的技术可以去探索。
And it reminds me a lot of the early days of the internet when we built out fiber and we built out broadband, and then we had these new technologies to play with.
然后互联网出现了,应用层随之而来,充分利用了这项新技术。
And the Internet came along, and an application layer came along and took advantage of that new technology.
我觉得我们现在又回到了那个阶段——基础设施已经建好了,接下来该轮到应用开发了。
To me, it feels like we are back in that mode right now where we've infrastructure, and now it's time for the applications to be built.
我觉得会涌现出大量应用和软件,如果你不清楚自己在找什么,根本没法下注。
And I think there's gonna be so many applications, so much software that you're not really gonna be able to make a bet unless you know what you're looking for.
我觉得这正是USV一直擅长的地方:清楚自己要找什么,一看到机会就果断出手。
And I think that's what USV has always been great at, knowing what they're looking for and placing the bet when they see it.
布兰登在麦卡勒姆那边前几天说,未来二十四个月里,基础设施层创造的价值将远超应用层。
Brandon at McCall said the other day, We will see much greater value accrue in the next twenty four months at the infrastructure layer than we will at the application layer.
你同意还是不同意?
Agree or disagree?
我觉得基础设施层仍然有巨大的价值空间可以挖掘。
I think there is still value to be created and accrued to the infrastructure layer.
我们还没完呢。
We're not done.
建设还远没结束。
The build out's not done.
但我认为,现在技术层面有了这么多新工具,应用层也会迎来巨大的价值创造。
But I also think now that we've got enough new toys at the technology that we will see massive value creation application layer as well.
你觉得人工智能的未来是不是会一直在线?
Do you think the future of AI is always on?
萨姆·阿尔特曼最近越来越倾向于表达这种观点。
Sam Altman is suggesting so more and more in his kind of verbiage.
想想这个,真让人对英伟达充满期待。
God, it makes me excited for NVIDIA.
人工智能的未来就是时刻在线。
The future of AI is always on.
你同意这个说法吗?
Do you agree with that?
我觉得我们正进入一个新世界,在这里,无论是实验室还是应用层,上下文都变得越来越重要,对吧?
I do think that we're entering a world in which context is increasingly valuable for the labs and also for the application layer, right?
所以我觉得,未来会有越来越多的产品和公司不断推动我们走向一个始终在线的世界。
And so I think we will see products and businesses increasingly try to push us further and further along the edge to an always on world.
我记得十年前刚在家添置一台Alexa的时候,还觉得奇怪:等等,这玩意儿一直在监听我的唤醒词?
I mean, I can remember ten years ago when I got, you know, an Alexa in my home and thinking to myself, Wait a minute, this always listening for the wake word?
现在呢,我觉得正如你所说,我们已经迈过了那个阶段——比如说你在开会,坐在会议室里。
And now we've, I think to your point, we've kind of moved past that, where, you know, let's say you're in a meeting, you're having a meeting, you're in a conference room.
我经常听到有人会说:‘我正在用Granola处理这事’,对吧?
I think, you know, more often than not, I'm hearing somebody say, Hey, I'm granola ing this, right?
所以不管好坏,我们正越来越走向这样一个世界。
So I think we are moving more and more towards that world, for better or worse.
你觉得多阶段基金能提供出色的种子轮和pre-seed投资产品吗?
Do you think the multistage funds deliver an amazing pre seed and seed product?
因为我觉得……嗯,是这样。
Because I I okay.
所以我这么说。
So I say this.
我觉得你比我还更在意保护自己的品牌。
I think you're a little more protective of your brand than me.
我不太担心会得罪人。
I don't worry about upsetting people.
最尴尬的位置就是管理五千万到一亿美元的种子基金。
The worst place to be is a fifty to a hundred million dollar seed fund.
你会被那些能开大支票、领投轮次的大基金压得喘不过气,可你又不够小,没法和创业者紧密合作。
You will get crushed by the large funds who are able to write large checks and lead rounds, but you're also not small enough to be collaborative.
这种中间状态真的特别难熬。
Very difficult middle ground to be in.
你同意吗?
Do you agree?
我觉得世界上那些最擅长做种子轮的基金,都非常擅长搭建人脉,结识优秀的人才。
I think the best funds in the world at doing seed are really, really good about building their networks and meeting amazing people.
我觉得你最近在欧洲、特别是在伦敦,用极早期的种子投资支持了一批新的创业者,做得非常好。
I think you've been doing a good job recently at empowering a new class of entrepreneurs here in Europe and in London with very, very, very early stage seed checks.
所以我觉得你得建立起一个强大的人脉网络。
So I think you have to build a great network.
而且要做好早期投资,你还得把自己的观点公开表达出来。
I also think to do seed well, you have to put your ideas out there into the world.
你得让市场清楚你真正看重的是什么。
You have to show the market what you're looking for.
你得敢于表态、明确立场,比如我昨天刚发了一篇帖子,提到‘反抗军联盟’,说‘USV 对反抗军联盟非常感兴趣’。
You have to be willing to take a stand and take a position and say, I just put out a post yesterday about the Rebel Alliance and saying, Hey, USV, we're really interested in the Rebel Alliance.
这个全新的领域,包括开源模型、开源框架、分布式计算和智能代理,对吧?
This new universe of open weight models and open source harnesses and distributed compute and agents, right?
以人为本的智能代理。
Human aligned agents.
当你把想法公开出来,其实就像在放信号弹,让那些还没推出产品的早期创业者看到:哦,这个投资人、这个人、这个团队,正是我该去接触的。
And I think when you put things out into the world, you're sending up a bat signal that's telling these early stage founders that maybe haven't gone out into the world yet with a product, Oh, this is the VC, or This is the person, or This is the team I should be talking to.
所以我觉得,你必须拥有一个出色的人脉网络。
So I think you need a great network.
我觉得你得把你的想法付诸行动。
I think you need to ship your ideas.
而且你得愿意在人身上押注,这一点你在这个项目里已经做得很好了。
And I think you need to be willing to take bets on people, which, again, I think you've done a good job of with your program.
我想问一下,关于付诸行动这件事,我特别喜欢请教别人意见,邦吉,如果想法还没成型怎么办?
Can I ask you, on the kind of shipping ideas, and this what I love about asking advice, Bungie, is what if the ideas aren't fully formed?
如果我根本就错了呢?
What if I'm just wrong?
结果引来一堆公司,发现我当初的判断根本不对。
And then I get a deluge of companies, and actually the thesis wasn't what I thought it would be.
我觉得这完全没关系。
I think that's totally okay.
就像创业或做产品一样,做投资也得敢站出来,冒点风险,下注才行。
Much like building a startup or building a product, I think if you're investing, you also have to be willing to put yourself out there and take a risk and and place a bet.
当然,你也可以稍微规避一下风险。
Now listen, you can hedge that bet a little bit.
你可以再开一个对冲仓位,用别的东西来平衡这种风险。
You can place a counter position bet and something else maybe to offset the risk of that.
但如果你想在科技领域取得成功,不管是创业还是做风投,都得敢站出来,敢于冒险。
But I think you have to be willing to put yourself out there if you wanna succeed at anything in technology, whether it's a startup or a venture capitalist.
开源权重,开源框架,开源模型。
Open weights, open harnesses, open models.
叮,叮,叮。
Ding, ding, ding.
我们来玩个预测环节,挺有意思的。
We're gonna do a prediction round, funny.
我跟你说过,我们有个‘真心话或捐赠’环节,现在这个是新推出的预测环节。
I told you we had this truth or donate round, This which, is a new prediction round.
五年后的模型生态会是什么样子?不是说成熟不成熟,而是最终的市场格局会怎样?
The model landscape in five years' time, what does that mature, not mature, but mature market look like in terms of composition?
主要玩家有哪些?各自的份额会怎么分布?
The players, their weightings, what does that look like?
有一种可能是,那些正在逼近超级智能的实验室,一旦真达到了,就会出现某种自我迭代升级,让智能水平呈指数级飙升。
You know, one future is that the labs, especially the ones that are starting to approach something that feels like superintelligence, if they reach it, once they reach it, we will have some form of recursive self improvement such that we hit this exponential growth of intelligence.
大家普遍觉得,谁先做到这一点,就能彻底拉开差距。
The thinking goes that whoever gets there first will run away with it.
一旦进入自我迭代的阶段,那就彻底失控了。
Once you reach recursive self improvement, you're gone.
其他人根本追不上。
No one can catch up.
但这并不是我所期待的未来。
That's not necessarily the future that I am hoping for.
对于还不了解的人,
For everyone who doesn't know,
什么叫自我迭代升级?
what is recursive self improvement?
就是能自己不断改进的AI,对吧?
This is self improving AI, right?
这是能自己搞AI研究的超级智能AI,对吧?
This is super intelligent AI that can do its own AI research, right?
一旦有了它,部署之后,它就能不断自我提升,指数级增长,一直持续到某个时候趋于平稳,或者自己设了限制。
So once you have it, once you deploy it, it can just continually improve itself on the exponential forever until it plateaus, until it self limits in some way.
顺便说一句,我们并不知道这个自我限制的因素到底是什么。
And by the way, we don't know what that self limiting factor may be.
也许是因为这些架构——比如Transformer——到了某个点就再也无法继续扩展了。
It may be that for some reason, these architectures, you know, the transformer architecture, let's say, doesn't scale past a certain point.
我们也不知道这种情况会不会真的发生。
We don't know if that's going to happen.
也可能是模型需要大量数据,而这些数据它再也获取不到了。
It could be that the model needs some amount of data that it can no longer access, right?
数据量终究是有限的。
There's a limit to the amount of data.
也可能是我们跟不上维持持续自我提升所需的硬件基础设施建设速度。
It may mean that we can't keep up with the hardware infrastructure build that we need to keep recursively self improving.
过去历史上,每一种新技术的普及其实都遵循S型曲线,你想想看。
So in the past, in the history of new technology adoption, I mean, if you study them, they actually all follow S curves, right?
一开始进展缓慢,然后突然像 exponential 一样飞速上升,最后不知为啥就停住了,就像我们刚才说的。
They have a slow takeoff, then they have what feels like an exponential ramp up, and then they plateau for some reason, like we just discussed.
这可能是AI未来的第二种走向。
That's potentially the second future for AI, right?
我们的AI智能发展到某个阶段后,就不再提升了。
We reach some plateau in terms of intelligence.
我觉得,如果真这样,这项技术就会慢慢变得像普通商品一样。
And I think if that happens, then the technology might start to look somewhat more like a commodity.
一旦达到瓶颈,其他实验室都能追上来,大家用的都是差不多的技术。
If it plateaus, then we're at a point where all the other labs can catch up, and they can all have the same technology.
要是大家都用一样的技术,那竞争就激烈了。
And if they all have the same technology, then we're going have a lot of competition.
价格、产品体验,还有整个智能技术栈里的各个组件,都会陷入白热化的竞争。
We're going to have a lot of competition in terms of price, in terms of product experience, and in terms of the various components that make up the new intelligence stack.
如果走递归自我提升这条路,最终带来这种指数级进步,那会是现在OpenAI、Anthropic这些领先模型公司做的吗?还是说,是那些正在追逐AGI的众多团队之一?我昨天还花了整整两小时跟其中一个团队聊,或者这会是家全新成立、专门专注递归提升的公司?
So if we go on the route one, recursive self improvement, and it leads to this kind of exponential advancement, is that done by an OpenAI or an Anthropic or a leading model provider today, or is that done by a recursive or one of the many others going after I was literally for two hours in shortage yesterday with one, or is that done by an entirely new company focused on recursive itself?
对。
Yeah.
很可能是那些已经拥有巨大优势的实验室之一,比如在算力方面遥遥领先。
Probably done by one of the labs that already has all these advantages, these vast compute advantages.
它们手里的模型已经站在了最前沿。
They already have models that are at the frontier.
它们有完整的基础设施。
They have the infrastructure.
它们还掌握了关键的芯片资源。
They have the chip.
所以我觉得,大概率还是它们当中的一家来做。
So I think it's probably done by one of them.
不过,也有一批非常出色的研究人员正在探索全新的架构,虽然还没突破,但说不定哪天就能成。
That said, there are a bunch of amazing researchers working on incredible new architectures that maybe haven't broken through yet, but maybe they can.
也许他们正在开发一种比Transformer更厉害的东西,对吧?
Maybe they're building something that is better than the transformer, right?
现在有好几家实验室都在做这类研究。
There are a number of these labs out there.
Thinking Machines,还有Ilya和Daniel在做的安全超级智能项目。
Thinking machines, safe superintelligence from Ilya and Daniel.
如果让我押注,我会说还是那些已经占优势的实验室更有可能,但这并不意味着别的实验室没在悄悄研发新架构,说不定哪天就能一举超越所有现有系统。
I think if I were to bet, I would say the labs that already have the advantages, but that doesn't mean there isn't a new architecture being worked on in a lab somewhere that could leapfrog all of
超越一切。
it.
明白了。
Okay.
第二点是,实际上我们看到的并不是这种指数级增长,而更接近线性发展。
Number two is that actually we have less of this kind of exponential and more of a linear style.
如果从S型曲线的角度来看这个更成熟的市场,OpenAI、Anthropic这些公司之间的市场份额分布会是什么样子?
When you look at that kind of more mature market on the s curve basis, what does that composition look like in terms of market between open and closed and Anthropic and OpenAI?
我觉得在这样的世界里,企业和个人大概都在追求几个目标。
I think in that world, enterprises and individuals are probably optimizing for a couple of things.
他们很可能在优化成本。
I think they're probably optimizing for cost.
对吧?
Right?
他们开始权衡智能水平和开支之间的关系,想办法更高效地使用token。
They're starting to think about the trade offs between intelligence and spend and how they can optimize their token spend.
那这意味着什么?
So what does that mean?
大概就是多用开源模型和开放权重的模型。
It probably means leveraging things like open weight and open source models.
还会借助路由层,让token分配更聪明,选那些性价比更高的模型,而不是一味追求最强大的模型。
It probably means leaning into things like the routing layer to optimize the token usage towards the model that maybe gives you the most bang for your buck rather than always just TokenMaxxing and picking the most powerful model.
另外,看起来大家也会更倾向于选择那些更贴近人类需求的工具和产品——虽然我不太想用过去六周最火的那个词,但就是那种‘对齐人类价值’的系统。
I think the other thing it looks like is choosing tools and products and, you know, hate to use the new buzzword of the past six weeks, harnesses that are maybe a little more human aligned.
你能帮帮我吗?
Can you help me?
什么叫‘harness’啊?这到底是什么东西?
What the fuck is a harness?
说到这个,我真的挺不好意思的。
Because then seriously, I feel so bad about that.
不知道。
No.
明白。
Know.
你说到Axe,我其实很想用Grok,但到底什么是‘harness’?
You know on on Axe, I really want to do grok, what is a harness?
但我猜大家都会说,哎,怎么
But I know everyone will be like, oh, how
进展得怎么样?
are doing?
我觉得这个‘载体’就是和模型深度绑定的应用程序。
I I think of the harness as the application that tightly, tightly couples with the model.
比如Claude,就是Claude桌面应用,特别是Claude Code和Claude CoWork,它们形成了产品和模型之间紧密互动的闭环。
So in the case of, you know, Claude, it's like the Claude desktop app, and I would say specifically Claude Code and Claude CoWork that are sort of having this loop, this flywheel of product and model sort of engagement.
还有一些其他载体,很多人现在挺看好的,比如Hermes。
You know, some other harnesses that I think people are pretty excited about are things like Hermes.
我觉得Hermes是个能接管你Mac Mini的载体。
I consider Hermes a harness that takes over your Mac Mini.
你还没 setup 过吧?
I don't know if you've set it up yet.
AI Rundell 的 Pie 也是个不错的载体,是一家欧洲公司。
Pie from AI Rundell is another great harness, European company.
拥有那些与人类目标和动机一致的产品、代理和载体,我觉得会变得特别重要。
Having products, agents, harnesses that are human aligned and aligned with your own goals and incentives, I think is gonna be really, really important.
我觉得大家会越来越在意自己所用模型背后的动机。
I think people are going to be a little more self conscious about the incentives of the model they're using.
显而易见,大实验室推出的模型,其目标就是让模型变得更聪明、更强大、更快。
Obviously, the incentives of the models that come out of the big labs are to make the lab's models smarter, better, faster.
你可能会想,既然我把自己的决策权、个人信息、目标,甚至信用卡全都交给了一个代理,那我当然希望它能真正为我服务。
And you might think to yourself, hey, if I'm outsourcing all of my agency and all of my personal information and these goals and my credit cards and all these things to an agent, I want that thing to work for me.
我希望它完全站在我的立场上,和我的利益完全一致。
I want that thing to be completely aligned with my incentives.
几周前,我在X上发过一篇文章,叫《你的代理到底在为谁工作?》
You know, I published a thing a few weeks ago on X called Who is your agent working for?
我们当时想传达的核心观点就是这个,我觉得未来,当你越来越习惯把控制权交给代理时,你一定会想知道它到底站在谁那边。
And that was the big idea we were trying to get across with that, and that I think in the future, as you become more and more comfortable handing over the keys to an agent, you're going to want to know that it's working for you.
我觉得,这大概就是未来第二种可能的样子。
I think that's a little bit like what that second future looks like.
我得说,人们会像现在习惯用Apple Pay在线支付、在线找配偶那样,非常自然地把控制权交给代理,五年后这会成为常态。
I have to say, think people will get incredibly comfortable handing over the keys in the same way that we got incredibly comfortable putting our credit cards online using Apple Pay, finding our husband or wife online, and I think that will be de facto in five years.
你说得有可能是对的。
There's a chance you're right.
我觉得除了那些硬核的技术人员,没人会在乎隐私问题。
I don't think anyone gives a shit about privacy other than hardcore technologists.
我知道这话听起来很直接。
And I know that's blunt.
我这么说肯定要挨骂了。
I'm gonna get killed
因为这句话。
for that.
不是。
No.
不对。
No.
没那回事。
No.
你可不是这样。
You're not.
我觉得你很可能说对了。
I I think there's a good chance you're right.
如果我们只从概率和赌注的角度来看,互联网和个人电脑的发展历史确实表明你是对的,哈里。
If we're just thinking in terms of bets and probabilities, I think the history of the Internet and personal computing suggests that you are right, Harry.
但还有两点。
But two things.
第一点是,我们以前从未像现在这样,把这么多个人隐私交给一项技术——而代理技术即将让我们这么做。
First is I think we have never handed over so much of ourselves to a technology before than we're about to do with agents.
没错,你说得对。
Yes, you're right.
我们以前上网、用Chrome,但那些工具根本帮不上什么忙。
We browsed the web, we used Chrome, we used But it didn't do shit for us.
它们根本帮不上什么忙。
It didn't do shit for us.
是的。
Yeah.
没错。
Right.
我们还是得掌控它,对吧?
We still got to control it, right?
是的,也许我们可以让这些公司了解我们的兴趣和关心的事,但它们以前并不会替我们买东西,对吧?
Yes, maybe we let these companies learn about our interests and the things we care about, but it wasn't out buying stuff for us, right?
它们也不会替我们给家人和亲近的人发送特别私密的信息。
It wasn't out sending very personal messages to family members and loved ones.
它们并不是另一个自己,对吧?
It wasn't a second self, right?
它们不是我们本人。
It wasn't us.
我觉得现在我们就要开始做这类事了,这可能会让我们更仔细地思考那些替我们做事的模型背后的动机。
I think now we're gonna be doing stuff like that, and it might just make us think a little bit more about the incentives of the model that are doing those things for us.
这是第一点。
That's number one.
第二点,我不觉得每个模型或每个代理都需要达到超人类级别的对齐。
Number two, I'm not sure that every model and every agent needs to be superhuman aligned.
也不一定每个人都得关心这个问题。
I'm not sure every person needs to care about it.
我只觉得,只要有一部分人足够重视,就能让某几个参与者约束住其他人。
I just think enough people have to care about it such that one player or a few players keep the others in check.
对吧?
Right?
我觉得我们需要市场机制,让几个靠谱的参与者来制约其他所有人。
I think we need market forces where a couple of good actors keep the rest of the other actors in check.
那这种情况会发生吗?
So is it gonna happen?
我不确定。
I don't know.
历史经验看不太可能,但我认为还是有希望的。
History says it won't, but I think it's possible.
你觉得达里奥在营销和宣传上是不是搞砸了?
Do you think Dario has had a massive own goal in terms of marketing and messaging?
他好几年都在说劳动力会被取代,人人都要失业,跟客户说他们马上要失业,这确实挺大胆的。
He's been saying about labor displacement for years, oh, everyone's gonna be unemployed, and telling your customers they're gonna be unemployed is always a bold statement.
我看Anthropic这家公司,完全是被使命驱动的。
What I see in Anthropic is I see an extremely mission driven driven company.
Anthropic这公司,不管你喜不喜欢,没人能否认他们非常成功。
And Anthropic, you know, love them or hate them, there's no doubt they've been extremely successful.
我觉得我们录这段话的时候,他们应该是全球估值最高的私营公司了。
I think at the time of us recording this, they're the most valuable privately held company in the world.
我觉得他们能不能持续保持之前的收入爆炸式增长,关键在于开发者薪资中用于购买token的比例。
You know, I think core to the will they continue the exponential revenue growth that they've had is percent of spend in terms of developer salaries on tokens.
马克·贝尼奥夫说过,他专门为开发团队在Anthropic上花了三亿美元,占开发者薪资的3.8%。
And Mark Benioff said that he spent $300,000,000 on Anthropic specifically for the dev team, which equates to 3.8% of dev salaries spent on tokens.
如果这个比例涨到20%,那Anthropic就严重被低估了,收入还会继续飙升,所有投资人和员工都该为自己鼓掌。
Now if that goes to 20%, Anthropic's grossly undervalued, that exponential revenue will continue, and well done everyone who's invested and all their employees, great.
要是涨到百分之百,天哪。
If it goes to a 100%, holy shit.
这规模简直超出了我们当初的想象。
This is just so much larger than we ever thought it could be.
但如果维持现状,或者出现向开源模型迁移的情况,那就不一样了。
But if it stays or if we see migration to open models, it's
完全是另一回事。
a very different game.
我觉得这有风险。
I think it's a risk.
目前关于token支出,业界有两种截然不同的看法。
There are two schools of thought playing out right now with regards to token spend.
我觉得其中一种,也是我们现在看到的,更适用于传统大公司和行业巨头,比如思科这类企业,而不是初创公司——那就是,如果每个员工都在疯狂地花token,这些公司的基本盘迟早会出问题。
I think one school of thought which we're seeing, and I think when I really think about it probably applies more to the incumbents and the big companies, the sales forces of the world rather than the startups, is that if every employee is just spending like crazy on tokens, the fundamentals of these businesses are gonna be in trouble.
它们的体量实在太大了。
They're just too big.
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对吧?
Right?
像Salesforce或者微软这样的公司,员工人数太多了,每个人都能无限制地使用令牌资源。
There are too many employees at a Salesforce or, I don't know, a Microsoft such that every employee can just have an unlimited token spend budget.
所以我觉得这些公司很快就会开始限制他们的使用预算。
So I think we're gonna see a lot of those companies start to constrain their spends.
我们已经看到一些类似的情况出现在Etsy上
And we've seen mentions of things like these on Etsy
Meta、Uber、微软、Wall Street Journal都有过相关报道。
We've Meta, Uber, Microsoft, Wall Totally.
是的。
Yeah.
我觉得对初创公司来说,算账的方式可能不太一样。
I think if you're a startup, the calculation probably looks a little bit different.
你的公司规模小得多,对吧?
Your organization is smaller, right?
所以你不会遇到那种五万、十万甚至五万名员工毫无节制地花钱的情况。
So you're not going to have a situation where you have 5,000, 10,000, 50,000 employees just spending out of control.
你可以更严格地控制开支。
You can more tightly control the spend.
但作为初创公司,你现在每一点优势都至关重要。
But also, I think as a startup, you need every advantage you can get right now.
如果我现在是哪家初创公司的CEO,我肯定会拼命争取把预算用在最关键的地方。
And so if I, you know, if I were the CEO of a startup right now, I would actually still be pounding the table to maximize token spend on the on the right things, right?
尤其是写代码的时候,其他比如简单总结或日常运营这类任务,我可能会用Sonnet这类模型。
Definitely with coding, maybe not with other things, just for simple tasks like summarization or, operations type work, I'd probably be leveraging Sonnet or something.
但如果是初创公司,而且我在写代码,我肯定要用最前沿的模型。
But if I'm at a startup and I'm coding, I wanna be using the frontier.
我要拿所有能拿到的优势去对抗Salesforce这样的大公司。
I want every advantage I can get against Salesforce.
如果你是最顶尖的开发者,你是会选择去大公司,让他们给你预算但严格限制你用什么模型,还是去初创公司,那里根本就是放开手脚随便用?
So if you are the best dev, are you gonna go to a big incumbent who are gonna give you a budget and really constrain your abilities in terms of model usage, or are you gonna go to a startup where fundamentally they say, Hey, it's a free for all.
做最好的自己。
Be your best self.
我觉得你会选择加入初创公司,尤其是那些有使命驱动的初创公司——说实话,过去几年我们好像都没怎么见过这种模式。
I think you're gonna go to a startup, especially the startups right now that are mission driven, especially the startups that are mission driven, which, by the way, I don't know that we've really been in that mode for the past couple of years.
是的,Anthropic 确实有使命驱动,但现在硅谷资金泛滥,很多公司根本不需要靠使命来驱动。
Yes, Anthropic's been mission driven, but there's so much money and capital sloshing around the valley in this ecosystem, I think a lot of companies haven't needed to be mission driven.
但现在不一样了,他们会发现,使命反而成了优势。
I think now they will, and it's work gonna to their favor.
你觉得我们现在是不是正进入一个新阶段:Fable 会以某种形式重新崛起,带来更强大、更新的模型,让你一个顶级工程师顶替十个普通工程师,而你用巨额的 token 开支来支付这个代价?
Do you not think we enter a world in now where Fable will come back in some rejuvenated form one way or another, where Fable comes back and newer and better models come back and you just have the 100x engineer, and you pay for that token spend, which is enormous, with the replacement of the 10 other mid engineers.
我觉得工程团队的结构一定会发生变化。
I do think engineering organizations are going to evolve.
未来团队规模会越来越小,但成员的水平和质量会更高,因为很多基础性工作现在都可以交给智能代理去处理了。
You will increasingly have probably somewhat smaller teams of higher caliber and higher quality engineers, because I think a lot of the lower level tasks increasingly can be delegated away to agents.
就开源生态而言,以现在的状况来看,你觉得有多少企业流程可以用开源方案来完成?
In terms of the Open ecosystem, when we look at it today, what percent of enterprise workflows do you think can be done with Open?
企业里80%的非编码任务,用不上最前沿的模型也能完成。
80% of non coding tasks in the enterprise can be done with models that are not at the frontier.
如果你在写代码,那最好还是用最前沿的模型。
I think if you're coding, you probably wanna be leveraging frontier models.
但像总结内容、写文档、做简报这类工作,根本没必要用最顶尖的模型,开源模型完全够用。
But I think things like summarization or the generation of docs and briefs and things like this, I don't think you need to be at the frontier, and so you probably can leverage Open Source models.
我们现在看到的开源模型,进步速度比以前快多了。
I think a lot of the Open Source models we're seeing are catching up faster than they were previously.
只要不是写代码,其实根本没必要追最前沿的模型。
I don't know that you need to be at the frontier if you're not coding.
中国拥有最好的开源模型。
China have the best open source models.
看到这个开源生态的发展速度和演进程度,真是让人惊叹。
It's unbelievable to see the rate and the evolution of that open source ecosystem.
你觉得这让人担心吗?
Is that concerning, do you think?
我觉得,说实话,初创公司和团队都会往激励方向走。
I think, look, I think startups and teams go where the incentives are.
随着我们进入一个‘反抗联盟’真正有机会崛起的时代,我会看到越来越多聪明的团队转向开源。
I think as we shift to a world in which this Rebel Alliance might actually have a fighting chance, we're gonna see a lot of smart teams going more and more towards open.
我真的很感兴趣。
I'm really intrigued.
你刚才提到了路由层。
You said about the routing layer.
你真觉得会在路由层诞生十亿到五十亿美元的公司吗?还是觉得像Fireworks或Base Ten这样的推理服务商会蚕食这块市场?
Do you fundamentally think there will be ten to fifty billion dollar companies built in the routing layer, or do you think your inference providers like Fireworks or Base Ten eat into that?
或者坦白说,如果你再往上走一层,还有Nebius这样的公司站在顶端。
Or, candidly, if you wanna go a step above that, you've got Nebius who sits on top.
我采访Nebius的创始人时,他说我们需要……我可不敢模仿他的口音,不然听起来就像007里的反派,他非得找我算账不可。
When I had the founder of Nebius on, he's like, we need I'm not gonna put it on his accent because I'll sound like a Bond villain, then he'll fucking kill me.
你得把整个技术栈都吃下来才行。
But you need to eat all of the stack.
我觉得现在路由确实挺有意思,也很重要。
I do think routing is interesting and important right now.
随着企业努力优化他们的令牌支出,他们希望确保选用的模型不仅能力匹配任务需求,成本也要合理。
Again, as enterprises are trying to optimize their token spend, they wanna make sure that the model they're using is the right model for the job, not only in terms of its capability and what it can get done, but its cost.
因此会有一些公司专门专注这一块,比如纽约的Open Router,他们正在做不少有意思的工作。
And so you're gonna have companies that are singularly focused on this, companies like Open Router out of New York, which is doing some really interesting work.
同时,也会有一些公司利用栈中其他部分来打造产品,顺便把路由层作为盈利点来建设。
And then you're also gonna have companies that are leveraging other parts of the stack for their products that build their own routing layer as an opportunity to monetize.
实际上,我们接触过不少在栈的不同层级上开发的公司,一聊到他们的商业模式,都会提到构建路由层并从中盈利。
Actually, we've talked to a number of companies building at various different levels of the stack that when you talk to them about their business model, they talk about building a routing layer and monetizing the routing layer.
所以我觉得这是个很有潜力的方向,很多公司都会去尝试,因为他们看到了机会。
So I think it's a really interesting area that has a lot of opportunity, and a lot of different companies are gonna go after it because they see the potential.
如果不只是变成一个普通的传输通道,你该怎么给路由层赚钱呢?
How do you monetize a routing layer without becoming just a commodity pipe?
这是个好问题。
It's a good question.
我觉得现在很多公司都在考虑在上面加一点差价收费。
I think a lot of companies right now are thinking about charging a small margin on top of it.
我觉得你说得对,这种商业模式可能并不太理想。
And I think to your point, that might not be a great business model.
几周前我在X上发了一篇关于这个的文章,不少人留言分享了他们的想法,其中有个挺有意思的观点,说是可以在路由层搞一种‘悬赏’模式——路由层因为选对了模型而获得奖励,对吧?
I put out a piece on X about this a few weeks ago, and a number of people chimed in with some of their interesting idea I heard was this notion of almost a bounty model at the routing layer, where the routing layer gets rewarded for choosing the right model, right?
也就是说,当你选中最高效或者最适合某个任务的模型时,路由层才能收到费用。
So if you choose the most efficient model or the best model for a certain task, that's when they collect a fee.
我觉得这个想法挺有创意的。
And I thought that was kind of an interesting idea.
目前还没看到有人真正实现,但我个人觉得这主意相当不错。
Haven't necessarily seen it built out yet, but I thought it was a pretty interesting idea.
我得说,光靠路由层就做出一家五百亿美元的公司,我看挺难的。
I think it's hard to see that $50,000,000,000 company built in routing alone, I have to say.
也许吧。
Maybe.
但另一方面,我们在企业领域,尤其是基础设施领域,一再看到,这些基础设施公司会深度融入开发者的流程和生态系统,根本没法轻易替换,因为它们已经成了行业标准。
But on the other hand, we've seen time and time again in the enterprise, in infrastructure specifically, that these infrastructure companies, they become deeply embedded in the developer workflows and in the developer ecosystems, and you just can't rip them out because it just becomes the gold standard.
所以也许会有人打造出一个路由层,每个开发者都会采用,而且根本不想换掉。
So maybe somebody will build that routing layer that every developer adopts and never wants to remove.
你觉得我说美国风投USV错失了模型赛道,这公平吗?
Would you say it's unfair of me to say that USV missed the model game?
我觉得USV玩的是另一套游戏,这其实一直就是他们的传统。
I think USV was playing a different game, and that's actually been the history of
难道游戏不就是靠打造划时代的公司,获得惊人的回报吗?
Is the game not unbelievable returns in generational defining companies?
所以USV,我再说一遍,
So USV, again, I
我觉得他们从来不怕表达立场,而且USV确实没有投资任何一家大型模型层公司。
think has never been afraid to take a position, and I think USV did not invest in any of the big model layer companies.
但过去几年,USV一直在押注能源领域,我坚信,这个故事的完整脉络还没完全展现出来。
But what USV now has been doing for a number of years, and I'm a big believer that we haven't seen the full circle of this narrative play out, is they've been betting on energy.
他们从2001年就开始押注能源了。
They've been betting on energy since 2001.
长期以来,他们的想法是,不管哪种模型胜出,只要你相信人工智能和智能的发展,就一定需要底层的能源来支撑这些技术。
And the idea has been for a long time now that no matter what model wins, if you believe in AI and if you believe in intelligence, there's going to be an energy layer underneath that is going to be needed to power these things.
自2001年以来,我们逐渐明白,实际需要的能源比当初预想的还要多,而且对能源的便携性要求也更高了。
And over the time since 2001, we've learned that we only need even more energy than we thought, and we need more portability of energy than we thought.
所以能源是USV的一个核心投资主题。
And so energy is a big theme at USV.
这个方向从2001年就开始了,直到今天——不管是2020年还是2026年,依然如此。
It was starting in 2001, and it still is to this day in 2000 or 2026.
我刚才是不是说2001年?
Did I say 2001?
我是说2021年。
I meant 2021.
你怎么看待能源领域的投资?毕竟这行资本投入太大了。
How do you think about investing in energy given the CapEx intense nature of it?
我们投资了一家叫Fuse Energy的公司,我觉得特别棒。
You know, we're investing in a company called Fuse Energy, which I think is incredible.
我对这个投资特别满意。
I'm so happy with.
但在能源领域,这确实是个资本投入很大的生意。
But it's a CapEx intensive business in terms of, like, the energy space.
确实如此。
It is.
但我认为现在也有很多创新正在发生。
But I think there's also a lot of innovation happening.
只要有创新,就能找到一些团队,他们在做别人还没想到的科学实验。
And where there's innovation, you can find early teams that are doing science experiments before anyone else is thinking about them.
几年前,USV投资了一家叫Radiant的优秀公司,他们正在生产小型核反应堆,这些反应堆是直接从流水线上下来的,而且将成为全球首批在美国核试验穹顶内进行测试的公司之一。
USV a few years ago invested in a great company called Radiant, which is building small nuclear reactors that literally come off of a factory line, you know, and it's gonna be one of the first companies in the world to test in the dome in The United States for nuclear energy.
所以我觉得,在创新的前沿地带,有很多有意思的方向和模式,作为风投,这些才是最值得下注的地方,因为在最早期,其实并不需要那么多资本。
And so I think there are a lot of interesting models and ideas happening on the edge of innovation, those are the best places to bet as a venture capitalist because in the earliest days, they're actually not that capital intensive.
你知道我最喜欢哪个故事吗?
You know what story I fucking love?
Boom Supersonic。
Boom Supersonic.
太疯狂了。
Crazy.
没错。
Yeah.
我不是那个意思。
Don't get me wrong.
我们都喜欢协和飞机。
We all love Concord.
对啊。
Yeah.
布莱克,我也超爱坐飞机,兄弟。
And Blake, I love flying too, dude.
那就开始吧。
Game on.
但AI领域在涡轮机方面有个巨大的商机。
But there's this massive business in turbines for AI.
这世界真有意思。
What a wonderful world.
我们公司Roon有个赌注。
We we have a bet in a company called Roon.
是一家了不起的公司。
Amazing company.
你听说过Roon吗?
Have heard of Roon?
没听过。
No.
他们在建造微型数据中心,直接放在发电机、风电场旁边,解决便携性问题。
They're building micro data centers that sit directly next to generators, wind farms and things like that, to solve the portability issue.
怎么才能让能源尽可能快地靠近计算设备和数据中心?
How do you get the energy as close as possible, as quickly as possible to the compute, to the data centers?
所以我们一直在关注这类创新,它们正在重新定义能源的供应方式和便携性。
And so we're on the lookout for things like this that are sort of innovating the model of energy and portability of energy.
这不正是资本主义的美妙之处吗?
Isn't this just like the joy of capitalism?
你听说过Met Panther Lassa吗?就是那家在海上建数据中心的公司。
Met Panther Lassa, know, this company that does data centers at sea?
哇,真的吗?
Oh, wow.
这完全就是亚当·斯密说的那只看不见的手啊——能源出了问题,市场自然就会催生出Roon、Panther Lassa,甚至马斯克都在往太空建数据中心。
And it's just like fundamentally to Adam Smith's invisible hand, kind of the market solves itself in terms of we got an energy crisis, and then you get Rune and Panther Lassa and Elon building data centers in space.
太疯狂了。
It's crazy.
太棒了。
It's awesome.
现在真是个好时候。
It's a cool time.
现在投资特别有意思。
It's a fun time to be investing.
确实如此。
It is.
所以我就特别生气,看到很多欧洲创业者还在做中小企业的会计软件。
And this is why I get really pissed off with a lot of European entrepreneurs who are still building SMB accounting solutions.
我觉得企业级市场里头,自动化还有很大机会。
I think that there's an opportunity for automation in the enterprise.
我个人更想打造那些能彻底颠覆市场的产品和公司。
Personally, I would much rather build products and companies that obliterate.
这其实是我们USV一直在讨论的话题。
That's actually something we talk about at USV all the time.
别只是自动化,要直接碾压。
Don't automate, obliterate.
不过呢,确实有些人就想做自动化。
But hey, some people want to automate.
那‘不要自动化’是什么意思?
What does that mean, don't automate?
你刚才提到自动化,还谈到了SaaS,我觉得已经有不少了不起的公司,通过自动化现有的工作流程和业务模式取得了成功。
Well, you just talked about automation, and you talked to I think you were talking about SaaS in a I think there have been amazing companies built that automate existing workflows, existing processes.
但在USV,我们更倾向于投资那些彻底颠覆市场和原有商业模式的企业。
But at USV, we like to bet on businesses that obliterate, that literally obliterate markets and existing business models.
正因如此,我们其实很少投资企业级市场。
We actually don't do a lot of enterprise investing for this exact reason.
企业级投资往往需要通过中间人去销售,或者开发一些只是让现有业务变得更高效的产品。
Enterprise investing often requires selling to middleman, you know, selling to selling to customers, or building things that just make existing businesses faster.
我们想投的是那些真正重新定义做事方式的公司。
We want to invest in businesses that literally reinvent the way something is done.
比如Doctronic就是一个例子。
Take Doctronic as an example.
你听说过Doctronic吗?
You familiar with Doctronic?
没听过。
No.
几年前,USV领投了Doctronic的种子轮。
USV led the seed in Doctronic a couple of years ago.
那时候,这想法听起来简直疯狂。
At the time, it seemed like a crazy idea.
让AI把医生装进每个人的口袋里。
AI putting a doctor in literally everyone's pocket.
我们本可以投资那些让医疗流程更快、更高效,或者帮人处理保险理赔的AI,但我们选择把医生放进每个人的口袋,用AI彻底重塑整个模式。
Now, we could have invested in AI that make medical practices faster or more efficient or help you with, you know, insurance claims, or we can put doctors in everyone's pocket and totally reinvent the model with AI.
所以我觉得
So I
这正是我们说的‘颠覆’,而不是‘自动化’。
think that's what we're talking about when we talk about obliterate, don't automate.
Doctronic,医生装进口袋,诸如此类。
Dotronic, doctor in your pocket, da da da.
这让我想到教育。
It reminds me of education.
不好意思。
Sorry.
我不是那个意思,没有贬低的意思。
I didn't mean that disparaging.
这太棒了。
It's awesome.
我喜欢读书。
I like reading.
这让我想到——不好意思。
But it reminds me sorry.
其实,教育也挺像这么回事的。
Education kinda reminds me of the same, actually.
你知道在教育和医疗领域,最受益的通常是哪些人吗?
And do you know who the biggest winners are in both education and in medicine in most cases?
是谁呢?
Who's that?
是那些平台型玩家。
It's the horizontal players.
就是YouTube。
It's YouTube.
我担心的是,尤其是在健康领域,ChatGPT已经是第二大常用工具了。
And my worry is, especially with, like, health, chat GPT is second most used thing.
健康方面。
Health.
所以我的问题跟Dotronic没关系。
And so my question to that tied is not tied to Doctronic.
我想知道的是,模型提供商将来会怎么发展,它们渗透到应用层的时候,怎么不会抢走我们的饭碗?
It's how do you think about where model providers will go and eat into the application layers and not kill our lunch?
有可能吧。
Maybe.
我们刚才还在聊那个桥。
We just talked about a bridge.
你最近不是请过希夫来过吗?
I think you had Shiv on here recently.
这个桥公司在这个问题上已经埋头干了快十年,早就占了先机。
A bridge has been working on this problem for close to ten years now, and it's given them a massive advantage.
像医疗这种高度监管的行业,你不可能一进门就说:‘好了,我们现在要做医疗了。’
It turns out in highly regulated industries like healthcare, you can't just walk in the door and say, Hey, we're gonna do healthcare now.
你得真刀真枪地建立关系、找合作伙伴,一个个过监管关卡。
You have to actually build relationships, build partnerships, clear through regulatory hurdles.
这反而成了他们的护城河。
And that ends up being a form of a moat.
USV 是在2018年,也就是八年前投资了桥公司。
USV invested in a bridge, I think, in 2018, eight years ago now.
这家公司花了五六年甚至七年才走到今天这个转折点,现在他们的产品已经被众多医生和不同的医疗系统广泛使用,因为他们成功跨越了那些障碍。
It took that company five, six, seven years to hit this inflection point now where this product is being used by so many doctors in so many different health care systems because they were able to clear those hurdles.
所以我们可能会说,如今实验室和超大规模科技公司可以轻易接管任何市场上的任何产品。
And so we can say that we live in a world where the labs and the hyperscalers can take over any product in any market.
但事实上,从古至今,技术与创新一直都是这样发展的。
But the reality is that's been the story of technology and innovation since the beginning of time.
总会有初创公司、创始人和创业者,专门去做那些别人还没想到的、最难啃的硬骨头,最后反而胜出。
There are always going to be startups and founders and entrepreneurs that specialize and do the really hard things before anyone else has thought of them that end up prevailing.
就说Spotify吧,我们开头提到过的那个,对吧?
I mean, just take Spotify, which we talked about at the beginning, right?
Spotify挑战的可是个庞然大物。
Spotify went up against a behemoth.
这简直就是大卫对抗歌利亚的经典故事,一路上他们本可以被轻易击垮五十次,但他们专注深耕,早早地、持续地做了最难的事,现在自然成了赢家。
It's a classic David and Goliath story, and they could have been killed 50 different ways along the way, but they specialized, and they did the hard thing early and often, and now they're obviously the winner.
我明白你的意思,觉得实验室能随便切入任何应用层,但我不但觉得这不成立,而且就算能,也挺没意思的。
So I hear you that the labs can kind of go into any application layer, but not only do I think that that's not true, I also just think it's not really fun.
如果我们不相信初创公司能打败巨无霸,那作为风险投资人,我们还有什么乐趣可言?
And what fun can we have as venture capitalists if we don't believe that startups can take down the Goliath?
而且,即使它们真的赢了,我也不觉得事情会这么非黑即白。
I'm also not sure if it's as binary even if they do.
你看到Claude和Anthropic专门组了一个团队,专门去跟Figma竞争。
You know, you saw Claude and Anthropic dedicate an entire team to design and to go up against Figma.
但Figma依然是年收入数十亿美元的公司,这个领域里还有不少其他竞争者。
Figma is still a business that does multiple billions in revenue, and there's still multiple players in the space.
产品确实出色。
Great product.
没错。
Yeah.
产品确实出色。
Great product.
品牌值得信赖。
Trusted brand.
说到开发者生态,我最大的失误就是以为会有一家彻底跑出来,一家独大。
Trusted you know that my biggest mistake also, especially on the developer landscape, was I thought that there would be, like, a runaway.
当然,云服务确实跑出来了,表现非常出色。
And, of course, Cloud has run away and done amazingly well.
但Lovable的年经常性收入已经到五亿美元了,Cognition、Ratplit、Anthropic、Clock、Codex也都表现得非常强劲。
But Lovable's at 500,000,000 ARR, Cognition is, Ratplit is, Anthropic, Clock, Codex is crushing.
它们全都大获成功。
They've all crushed.
通常来说,市场领导者并不会拿下100%或者80%的份额。
There usually isn't a market winner that takes 100% of the market or 80% of the market.
更常见的情况是,市场领先者大概能拿到30%左右,剩下的70%依然充满机会。
Usually, you see is that the market winner takes something like 30% of the market, right, which means the 70% remaining is totally up for grabs.
只要市场足够大,这70%里完全能孕育出几个规模巨大的赢家。
And if the market's big enough, that can produce some really large winners.
你在USV看到的投资机会,和你在Lightspeed时看到的有什么不同吗?
Do you see different deals at USV to the types you saw Lightspeed?
我不是说不好或者更差。
I'm not saying bad or worse.
你只是觉得不一样吗?
Do you just see different?
说到我们之前聊过的种子轮,我觉得只要你主动走出去,就会遇到符合这些主题和想法的项目。
You know, going back to what we talked about earlier with seed, I think if you put yourself out there in the world, you're gonna see deals that match those themes and ideas.
我不是说我在Lightspeed的时候没这么做。
And not to say I didn't do that at Lightspeed.
我们在Lightspeed的时候也这么做过。
We did that at Lightspeed as well.
但就像之前说的,我们特别关注能源领域,或者现在的这个‘反抗联盟’,很多相关公司自然就会找上门来。
But to the point earlier about being very focused on energy, right, or now being very focused on this Rebel Alliance, we're going to see a lot of those companies come to us.
我觉得当你规模还小的时候,就得学会挑重点。
And I think when you're small, you kind of have to pick your spots.
你得给自己设限,专注在少数几件事上。
You have to have constraints and focus on a small number of things.
所以我觉得,我们之所以看到的东西不一样,是因为我们真的、真的深入钻研,有时候会集中一段时间,只关注那么几个特定领域,有自己的判断框架。
And so I think to the extent that we see things different, it's because we focus really, really deeply, and for a period of time, we may only look at a couple of different areas that we have theses
你现在最不确定、最让你担心的是什么?
What are you unsure of right now that is worrying you?
我之前说过,很多人担心模型提供商往应用层渗透,比如Ligure和Anthropic的投资人公开表示想进军法律领域。
To my point earlier, I think a lot of people are concerned by the intrusion from model providers into the application layer, where investors in Ligure, Anthropic are very openly suggesting they wanna come into legal.
我觉得这简直蠢透了,原因有很多。
I think that's fucking moronic for multiple reasons.
你明明在追逐通用人工智能,却跑去跟Clifford Chance或者Slaughter and May抢饭碗,这根本说不通。
When you're chasing AGI to be like, ah, we're gonna go after your lunch, Clifford Chance, or Slaughter and May.
这没什么道理。
Doesn't make much sense.
虽然我一直说,初创公司永远有空间,再强大的模型或公司也不可能包打天下,但竞争压力确实还是让人担忧。
As much as I say that there's always gonna be opportunity for startups and that one model or one company can't do everything, of course, you still worry about competitive threats.
你知道的,我在Lightspeed的时候,跟Granola合作得很紧密,Suno也是。
As you know, I partnered closely with Granola when I was at Lightspeed, Suno as well.
我的意思是,这两家初创公司正在对抗体量巨大的老牌企业。
I mean, those are two startups going up against massive, massive incumbents.
尤其是Granola,OpenAI直接推出了一个竞争性产品,对吧?
Granola in particular, OpenAI launched a directly competitive product, right?
Notion也推出了直接竞争的产品。
Notion, up, launched a directly competitive product.
所以我确实担心这个,但我觉得,归根结底,做初创公司时这种担忧一直都在。
And so I do worry about that, but I think, again, that's always been the worry when you're building in start ups.
Granola的真正担忧,难道不是进不了企业市场吗?
Is the worry not for Granola just breaking into enterprise?
像Notion这样的公司,想打入传统企业市场,一直特别困难。
Like that traditional enterprise, like Notion have found it incredibly hard to break into traditional enterprise.
这些产品都是初创公司和风投支持的,确实了不起,能做到五十亿美元收入已经很棒了,但你得做到五百亿才行。
These are startup and venture funded products, which is amazing, and you can get to 500,000,000 in revenue, but you need to be 5,000,000,000 in revenue.
我觉得Granola的优势在于它非常专注,这一点我认为正是帮助它打入企业市场的关键。
I think the nice thing about Granola, what it really has going for it, and one of the things that I believe has helped that company in enterprise penetration, is being really focused.
对吧?
Right?
他们就只做笔记。
They're just doing notes.
就只是做笔记。
They're just doing notes.
我觉得还有其他一些创业公司,在向企业销售时,试图做太多不同的事情。
I think there are other companies, startups selling into the enterprise, that try to do many different things.
老兄,我觉得你得做得更多才行。
Dude, I think you gotta do more.
也许吧。
Maybe.
但我觉得关键是先敲开大门。
But I think you wanna get your foot in the door.
而当你想敲开大门的时候,最好先专注卖一样东西。
And I think when you wanna get your foot in the door, you wanna sell one thing.
一旦你进去了,就可以横向扩展到其他领域。
And once you're in, then you can you can expand horizontally to different categories.
但如果你一进来就铺得太广,就得让企业放弃一大堆现有的工具。
But I think if you come in, expand it really, really wide, now you have to convince the enterprise to give up all these different things.
对吧?
Right?
你得放弃你的Gmail、Google文档、Google表格和日历。
You gotta give up your Gmail and your Google Docs and your Google Sheets and your calendar.
对吧?
Right?
还有别的各种东西。
And this and that.
但如果你只做会议记录,那就像是说:我们只是做你们公司的第二大脑,对吧?
Whereas if you're just doing meeting notes, it's like, hey, we're just gonna be your second brain for your company, right?
别的我们什么都不做。
We're not gonna do anything else.
我们只是做你们的第二大脑。
We're just gonna be your second brain.
对了,顺便说一句,我们在这方面是最棒的。
Oh, and by the way, we're the best at it.
你就不担心微软不断拆分产品吗?比如Teams压倒一切,或者Copilot崛起。
Do you not worry about the enduring wave of Microsoft unbundling, whether it's Teams that crushes or whether it's Copilot.
这些产品都是微软靠做65%到70%平平无奇的东西,再靠捆绑销售来打败对手的。
These products are Microsoft has built a business on doing 65% to 70% meh products, but with the power of bundling, beat the competitors.
我确实担心这一点。
I do worry about that.
当然了。
Of course.
毫无疑问。
Absolutely.
我们已经看到Slack经历过这一幕了。
We saw this play out with Slack.
对了,Slack现在还在呢。
By the way, Slack is still around.
它依然是个价值巨大的产品。
It's still a massively valuable product.
但没错。
But, yes.
我确实担心。
I do.
两千七百亿。
27,000,000,000.
我喜欢我们这么说的方式。
I love the way we say this.
就是两千七百亿。
It's like 27,000,000,000.
我接了。
I'll I'll take it.
是的。
Yeah.
对。
Yeah.
我确实有点担心。
I do worry about it.
我还发现,不管是AI产品还是格兰诺拉麦片,上下文都特别重要,对吧?
What I have also learned about AI products and granola is that context is extremely valuable, right?
如果格兰诺拉麦片渗透进你的公司,全公司都在用,不断产生和积累这些丰富又宝贵的信息,那这种东西,作为企业你是真不想放手的。
If granola gets inside of your organization and everyone in the organization starts using it and producing and accumulating all of this amazingly rich and valuable context, that's not something you as an enterprise want to give up.
你已经建立起一套极其丰富的信息历史,它真的能帮你工作得更高效。
You've built out this incredibly rich history of information that actually helps you work better.
我觉得,现在做AI产品,很大程度上讲究的是抢先一步,而且要飞快地推进。
I think this era of building AI products is in many ways about being first and about moving really, really fast.
让我担心的是,这么大的成果,结果却让人提不起劲。
You know what worries me is just like the meh of such large outcomes.
而且再说一遍,这些话听起来可能挺消极的,但真不是这个意思,毕竟我是个播客主持人,得做个特别说明。
And and again, this all sounds incredibly disparaging, and it's not meant at all because I'm a podcaster, so incredible disclaimer.
而且我还是个风险投资人。
And a VC.
但我想说的是,像SpaceX这样的公司估值达到三万亿美元,你知道吗?埃隆·马斯克一夜之间赚的钱,比沃伦·巴菲特一辈子赚的还多。
But my point being, like, you have a SpaceX at 3,000,000,000,000, do you know Elon Musk made more money overnight than Warren Buffett has done in his entire career?
他确实了不起。
Credit to him.
他确实了不起。
Credit to him.
干得漂亮。
Well done.
资本主义真了不起。
God bless capitalism.
真是个了不起的企业家。
An amazing entrepreneur.
了不起的创业者。
Amazing entrepreneur.
愿资本主义长存。
God bless capitalism.
但我想说的是,像Anthropic和OpenAI这样的公司,还有那些估值上万亿的企业,相比之下,年收入只有五亿美元的AI公司确实很难。
But my point is, like, when you have the outcome sizes of Anthropic and OpenAI and the trillion dollar companies, the company that does 500,000,000 in AI are tough.
我觉得这一切最终都回到一个问题:你到底在追求什么?
I think it all goes back to what are you optimizing for?
你的使命是什么?
What's your mission?
你面临哪些限制?
What are your constraints?
我们刚进演播室之前,就聊过风险投资的事。
We talked about VC early on before we stepped into the studio here.
USV一直以来都管理着规模较小的基金。
USV has always had small funds.
这正是我们喜欢玩的游戏。
It's the game we like to play.
作为一家规模较小的风投公司,你依然可以非常成功地实现自己的目标。
You can be very successful in terms of what you're trying to accomplish as a venture firm with a small fund.
也许同样的模式在管理一百亿美元的基金时行不通,但我们玩的是另一套游戏。
Now, maybe that same model can't work if you have a $10,000,000,000 fund, but we're playing a different game.
我觉得你玩的也是另一套游戏。
And I think you're playing a different game too.
如果没有媒体,我是不会做风投的。
I I would not do venture without media.
前几天我对我的有限合伙人说,有两件事让他们特别惊讶。
I said to my LPs the other day, two things that really shocked them.
我说,如今没有四十亿美元的基金,根本不可能做A轮投资。
I said, you can't do series a unless you have a $400,000,000 fund today.
一点机会都没有。
Absolutely no chance.
现在A轮投资成本太高了。
Series As are expensive now.
动不动就是一亿美元的估值。
They're 100,000,000 posts.
有时候八千万美元的估值也常见。
They're 80,000,000 posts.
偶尔甚至能达到一亿五千万美元。
They're occasionally 150,000,000 posts.
所以,如果你想投这个阶段的项目,还能拿到不错的股权,那你的基金规模得比三年前大一些。
And so, if you wanna write a check into around that size and get decent ownership for your fund, you have to have a slightly bigger fund than you had three years ago.
你对股权比例的要求变得更灵活了吗?
Are you being more elastic around how you think about ownership?
我觉得这跟阶段有关。
I think it depends on stage.
在USV,我们认为种子轮和A轮的股权很重要,因为现在的回报潜力更大了。
The way we think about it at USV is that the the seed and series a stage ownership is important, And the reason is the outcomes are bigger right now.
你之前提到过。
You talked about it.
那些最终表现特别出色的公司,往往在很短的时间内就融了大量资金,估值也一路飙升。
And the companies that end up doing really, really well raise a lot of capital very, very quickly, and the valuations get very high.
到了后面的轮次,想拿到股权变得特别难,尤其是对规模小的基金来说。
And in those later rounds, it's actually very, very hard to buy ownership, especially if you're a small fund.
所以你必须在早期就拿到这些股权。
And so you have to get that ownership early on.
种子轮和A轮,正是你能做到这一点的关键阶段。
And seed and series A are kind of the rounds where you can do that.
一旦公司跨过那个门槛,进入B轮或C轮,你就能看出谁是市场领导者、有潜力成为一代巨头,那时候股权比例就没那么重要了。
Now once a company sort of crosses that chasm, maybe into the series B or to the Series C, you can identify them as being market leaders and potential generational companies, then I think it matters less.
这时候重点就变成怎么把钱投进去,看这笔投资能带来多少现金回报。
Then it's just about getting capital into those companies and underwriting it as a cash on cash type outcome.
别再纠结百分比了,就想象一下:如果我们投了两千五百万进去,这笔钱最终能翻多少倍?
Forgetting about percentages, just imagining, okay, if we put $25,000,000 into this, what can the multiple be on that?
能涨十倍吗?
Is it a 10x?
能涨一百倍吗?
Is it 100x?
能涨一千倍吗?
Is it 1000x?
如果真是那种特别大的机会,那你其实根本不需要
If it is, you know, if it's something really big like that, then you don't really need
太在意持股比例。
to think about ownership.
我们刚做了一笔投资,等这个消息公布的时候,你就能看到了。
We just did a deal together, and by the time this comes out, it'll be announced.
昨晚创始人给我发了条消息,所以我现在能聊这个。
I actually got a message from the founder overnight, which is why I'm able to talk about it.
是FOMO的Paul。
Paul at FOMO.
哦,不错。
Oh, nice.
对。
Yeah.
你们那一轮是后来做的。
And you guys did that round later.
对我们来说是后来。
Later for us.
对。
Yeah.
所以我才问了那个问题。
And that was why I asked that question.
对。
Yeah.
但你看到了市场规模,对不了解的人来说,这本质上是下一代交易应用。
But you saw the size of market, and for people that don't know, it's the next generation trading app in many respects.
我想你注意到入场时的估值倍数扩张了。
I guess you saw that multiple expansion at the entry price you came in at.
这真是个完美的例子。
That's a perfect example.
我们当时也看到了这种情况,就问自己:这东西最终能长到多大?
You know, we we saw that where it was, and we said to ourselves, how big can we see this getting?
我们认为它未来远不止现在的规模。
We think it can be a lot bigger than it is now.
所以对于这一轮,我们不会太在意持股比例。
And so for this one, we're not gonna be ownership focused.
我们只是打算投一笔钱进去。
We're just gonna we're gonna put a check-in.
从这轮开始,我们可能每一轮都会参与,毕竟我们的基金规模有限,但我觉得机会和上升空间足够大,值得跟进。
We may be able to bet every round from here out because, again, we have constraints to the size of our funds, but we think there's enough opportunity and enough upside from here that it's worth it.
如果你觉得没有可能成为巨头,还值得投吗?
Should you do it if you don't think there's, like, a mega outcome?
我知道这听起来有点奇怪。
I know that sounds strange.
我不太确定。
I'm not sure.
对我们USV来说,在后期阶段,如果我们觉得没有巨大的回报潜力,那大概就不值得下注。
For for us, for USV at the later stages, if we don't think that there's a gigantic outcome, it probably doesn't make sense for us to bet.
但我的问题是,即使没有巨大回报,早期阶段是不是也该投?
But even should you do it early if it's not a gigantic outcome is my kind of question.
听我说。
Look.
一般来说,我们总是希望投资的项目所处的市场足够大,机会面足够广,我们会用这个标准来看待每一家公司。
I think in general, you always want to believe that the things you're betting on are playing in large markets with very, very large surface areas, and we're going look at every company that way.
但我觉得,因为我们的基金规模比较小,跟你类似,这种模式下我们的下行保护其实更强,不像那些大基金,动不动就得靠几十亿的回报来撬动。
But I do think that because our funds are smaller, similar to yours, there's probably more downside protection for us in that model than, say, at a larger fund where you have to multiply billions of dollars.
我们现在投资的这支核心基金,规模是2.75亿美元。
For us, the fund that we're investing out of now, the core fund, it's a $275,000,000 core fund.
所以,相比投几个十亿美元的项目,你更容易在同样的股权比例下实现更高的回报。
And so you can multiply that a lot easier than multiplying, say, several billion dollars, especially if you get the same type of ownership that a that a larger fund is getting.
不过我觉得,对于那些大型平台型基金来说,现在可能是有史以来最好的时机,因为他们能靠业务扩张和退出规模实现类似风投的回报。
I think it will be the best time ever, though, for the very large platform funds, and I think they'll be able to deliver venture like returns because of the expansion and outcome sizes.
你觉得这种说法对不对?
Do you think that's true or not?
你看看Thrive就是个例子。
I mean, you look like a Thrive.
是的。
Yeah.
他们的增长型基金表现,比90%的种子轮基金都要好。
I mean, their numbers are better than 90% of seed fund numbers on their growth growth vehicle.
没错。
Yeah.
你想想,他们其实早就打下了基础。
When you look at I mean, you know, they have made a precursor.
太惊人了。
Phenomenal.
OpenAI 基金,显然非常出色。
The OpenAI Fund, obviously incredible.
他们用数十亿美元的资金获得了风投级别的回报。
They are getting venture outcomes on multibillion dollars.
我们认为,现在正走出一个大规模基础设施建设、资本投入极高的时期。
We think that we are coming out of a period where there has been a massive infrastructure build out and very, very capital intense companies.
那些能够投资于这些高资本密集型公司的大型机构,表现得非常出色。
Firms, large firms that were able to invest in those very capital intensive companies have done phenomenally well.
但同样,我们现在所处的世界,应用层将涌现大量初创公司和应用程序,它们对资本的需求没那么高。
But again, I think we're also now playing in a world where there will be a proliferation of startups and apps at the application layer that are less capital intensive.
对于这类公司,你得清楚自己在找什么,而且你可以用相对较小的金额就进入这些企业。
And for those, again, I think you're gonna need to know what you're looking for, and I think you can you can get in those companies at more modest check sizes.
但我认为,你不能设立一个中等规模的基金来做这件事。
Now I don't think you can have a fund that's in the middle to do that.
你得要么做大,跟着主流走,要么就做得很小,观点鲜明,用小基金撬动更大回报。
Think you need to either be on the the large end and play the consensus game or be really small and really opinionated and multiply a much smaller fund.
你的出价有弹性吗?
Are you elastic on price?
说实话,过去一年我们错过了两笔投资。
You know, candidly, we we've lost two deals in the last year.
听好了,是被别人出价比下去了。
And listen, we got outbid.
我不确定,如果我们出同样的价格,能不能赢下来。
I don't know if we would have won if we'd paid the same price.
我不喜欢那些人,动不动就说‘差两倍三倍’——我们出了一亿五,别人出三亿抢走了;另一个项目,别人出四亿把我们挤掉了。
I hate people that say that as the but by like two or three x, we bid one fifty and another we got outbid by 300, another we outbid 400.
我是不是该直接加价?
Should I have just paid?
我跟我的合伙人弗雷德·威尔逊聊过。
I talked to my partner, Fred Wilson.
必须给弗雷德点个赞,他是真正的传奇之一。
Gotta shout out Fred, one of the one of the GOATs.
我问他一个问题。
And I asked him a question.
我问他:在风投领域,你学到的最重要的经验是什么?
I said, what is what is the biggest lesson you've learned in VC?
其实我是问他,有哪几条最重要的经验。
Actually, I asked him what are a couple of the biggest lessons.
其中一条是:永远不要因为价格而放弃机会。
And one of them was never pass on price.
弗雷德说,永远不要因为价格而放弃机会。
So Fred says never pass on price.
我觉得现实中,可能没这么绝对,还是有些讲究的。
I think in reality, there's probably some nuance.
回到USV的策略,我觉得如果我们投的是稍晚一些的阶段,就必须确信这家公司是市场赢家。
Just to bring it back to the USV strategy, I think for us, again, if we're investing a little bit later stage, we need to really believe that it's a market winner.
回报倍数可能会非常高。
The multiple can be very, very, very high.
这种情况下,我们在价格上可以稍微灵活一点。
And in that case, we can be a little bit more elastic on price.
但在最早期的阶段,尤其是我们用小基金投资时,我觉得价格上始终得有个上限,不然基金的回报模型就撑不起来。
But I think at the earliest stages, especially when we're investing out of our small funds, I do think there will always be a limit for us on price, just because otherwise we can't make the fund math work.
我知道我的工作为什么这么棒,因为我真的一直在学习这个行业。
You know why my job is just incredible is because I really am a student of this business.
对了,你刚才提到要感谢Fred。
And by the way, you said shout out to Fred.
我17岁的时候给Fred发过邮件,他和Brad Feld都在半小时内回了我。
I emailed Fred when I was 17 years old, and him and Brad Feld both responded to me within thirty minutes.
真的吗。
Wow.
这恰恰说明,当你明明一无所有的时候,他们依然愿意花时间回应你。
Like, that is the testament to giving time to people when, you know, candidly, I had nothing.
我曾在那个播客里讲过一件事,Anchor刚上线的时候,我根本没见过Fred,结果Anchor应用不小心自动替他发了推文。
I told a story on that podcast where when Anchor first launched, I had never met Fred, and the Anchor app accidentally auto tweeted for Fred.
那时候他在Twitter上的粉丝量已经很大了。
And he has a big follower count on Twitter at the time.
现在当然叫X了。
Now it's X, obviously.
他对此特别不高兴。
And he was not happy about that.
他在Twitter上直接找我理论。
He started lighting me up on Twitter.
那正是Anchor上线后的第二天。
This is one of the day like, the day after we launched Anchor.
作为第一次创业的人,我当时确实挺难堪的。
Obviously, that was uncomfortable for me as a first time founder.
但正如你所说,我事后立刻给他发了封邮件。
But to your point, I cold emailed him right after the fact.
我向他道歉了,还主动提出帮他排查问题。
And I apologized, and I offered to troubleshoot it with him.
他立刻回复了,态度特别友善,宽容又理解。
And he responded immediately, and he was super gracious and forgiving and understanding.
我也经历过类似的事。
And so I had a similar experience.
我觉得任何形式的曝光都是好事。
And I think all publicity is good publicity.
是的。
Yes.
没错。
True.
实际上,大概率是这样。
Actually, probably.
那件事反而带来了大量关注。
Get a lot of publicity from that.
是的,你确实可能如此。
Yeah, you probably do.
永远别只看价格。
Never pass on price.
说到风投资金这个话题,我想起彼得·芬顿跟我说过的一句话:用价格来检验你对项目的信心有多强。
Where I was going with the student of venture dollars, I think it actually goes something that Peter Fenton told me, which is use price as a litmus test for your conviction.
你看,
There you
就是这个道理。
go.
比如像Fuse的Alan Chang,或者Airwise的Jack这样的创始人。
And it's like, actually, there are founders like Alan Chang at Fuse or Jack at Airwise.
就算价格涨三倍,我今天也愿意掏钱。
You could treble the price, I'd still pay it today.
有些创始人就是这样,就算价格翻倍,你还是会想:这钱我照样出。
You have founders like this where if you doubled the price, you're like, I'd still pay it.
是的,当然了。
Yeah, yeah, absolutely.
我能想到一些我做过的最成功的投资。
I can think of some of the best deals I've done.
即使现在回头看,价格已经挺满意了,但如果能重来一次,我可能还是愿意出双倍的价格。
And even though I'm happy with where the price landed, in hindsight, I'd probably pay double the price if I could go back and do it again.
如果我问你,现在你从事风投这么多年,最大的教训是什么——就像你之前问弗雷德那样,你觉得会是什么?
If I were to ask you what are your biggest lessons now, having been in venture, in the same way that you asked Fred, what would you say they
是啊。
are?
你不能把自己的想法强加给创始人。
You can't project
你的
your
想法不能强加在创始人身上。
own ideas on the founder.
当然,如果创始人愿意,你可以提供建议。
Sure, you can offer ideas, of course, if the founder wants.
但尤其是你以前做过运营,总会不自觉地想,我知道这生意该怎么搞,我知道这产品应该怎么设计。
But especially as a former operator, you often think, oh, I know how this business should be built, or I know how this product should work.
但这种想法真的很容易让你踩坑。
And I think that can really, really get you into trouble.
我以前的合伙人,光速的刘宇,我就犯过好几次这种错,有一天他打电话跟我说:我觉得你这是拿自己当创始人的视角在看问题。
One of my former partners, Jeremy Liu at Lightspeed, I made this mistake a few times, and he called me up one day and he said, Hey, I think you're projecting as a former founder.
他还说,根据我的经验,这种做法非常危险,风险极高。
And he's like, In my experience, that's very, very dangerous and very risky.
我觉得这真是个很好的教训。
I think it was a great lesson.
现实是,就算你想法很好,觉得自己知道答案——哪怕你确实是对的——但公司毕竟是创始人的,他们可能完全有别的想法。
The reality is even if you have great ideas and you think you know the answer, even if you're right, by the way, reality is it's the founder's company, and they may completely different way.
更别说,如果你把自己的想法强加给正在评估的团队,很可能完全看走眼。
And not only that, if you project your ideas on a team that you're evaluating, you might get it completely wrong.
对吧?
Right?
你可能会看一个生意,觉得我知道这家公司该怎么做。
You might look at a business and say, I know what this company needs to do.
它得做A、B、C、D,然后就能赢。
It needs to do A, B, C, D, and then it's going to win.
但如果你基于这种判断下注,而团队根本没做这四件事,那你这注就押错了。
But if you make your bet based on that evaluation and that judgment, and that team doesn't do those four things, you made a bad bet.
别把自己的想法强加给他们。
So don't project.
别把自己的想法强加给他们。
Don't project.
你得真正相信团队,相信他们的判断,相信他们能执行自己的计划。
You have to really believe in the team and the team's judgment and the team's ability to execute on their own plan.
这对我来说是个很大的教训,作为
That was a big lesson for me as a
前首席执行官。
former CEO.
创始人、市场、产品。
Founder, market, product.
给它们打个一分到三分的分。
Rate them one through three.
我刚干这行的时候,会觉得是产品、市场、创始人。
When I first started this job, I would have said product, market, founder.
我现在完全倒过来了。
I've completely flipped that.
现在是创始人、市场、产品。
Now founder, market, product.
我觉得创始人才是最重要的。
I think that the founder is the most important thing.
说到底,大多数初创公司,尤其是早期的,迟早都会调整方向。
At the end of the day, most startups, especially early stage startups, they're gonna pivot in some form or another.
最重要的是,他们有没有韧性?
What's most important is, are they resilient?
他们能不能把事情做成?
Can they execute?
他们能不能应对变化?
Can they adapt to change?
当你
When you
如果看错了一个创始人,你会错过哪些你本来希望看到的东西?
get founder reads wrong, what do you not see that you wish you'd seen?
我经常发现,沟通是创始人的一大难题。
I often see communication as a big hurdle for founders.
我觉得作为领导者,最难的事之一就是有效沟通,因为沟通贯穿公司建设的每一个环节。
I think one of the hardest things you can do as a leader is communicate effectively, because I think communication touches every part of company building.
它关系到招聘,而我们知道,招聘是你能做的最重要的事情之一。
It's part of recruiting, which, as we know, is one of the most important things you could do.
你得能说清楚你的使命、你的价值观,为什么你存在,你想达成什么目标。
You have to be able to communicate your mission, your values, why you exist, what you're trying to accomplish.
你得跟投资人说清楚,对吧?
You have to communicate to investors, right?
如果你不擅长表达,就别想融到资。
If you're not a great communicator, you're not going to be able to raise capital.
别想让风投把钱投进你的公司。
You're not going to be able to put venture dollars into the business.
你得能把产品的愿景讲给团队听,对吧?
You need to be able to communicate your product vision to your team, right?
如果你说不清楚,怎么让团队齐心协力做出完美的产品?
How can you align the team around building the perfect product if you can't communicate it?
你得能把你的故事讲给市场听。
You have to be able to tell your story to the market.
回过头看我过去一些判断上的失误,可能问题就出在沟通上。
When I think about some of the mistakes I've made in evaluation, it's maybe been on communication.
那可能是最大的一个了。
That's probably been one of the biggest.
你觉得你在投资中犯过的最严重的错误是什么?
What do you think the single biggest mistake in Venturers you've made in terms of miss?
我觉得我最大的错误可能就是你告诉我的那两个。
I would say mine probably is one that you gave me, which is well, two of yours.
当初大卫·富兰克林创办Collective时,介绍我认识了Suno,那时我拒绝了他们。
I turned down Suno when David Franklin founded Collective introduced me at the seed.
你知道当时学到的教训是什么吗?
You know what the lesson was there?
这事儿挺有意思的。
Really interesting.
我希望迈克不介意我提起这件事。
I hope Mike is okay with me saying this.
我相信他不会介意的。
I'm sure he is.
那是一张二十五万美元或者二十万美元的支票,股权也就1%左右。
It was a 250 check or a 200 k check, and so the ownership was, you know, 1%.
是的。
Yeah.
我当时就说了,不行。
And I was like, no.
我得拿高比例的股权。
I need to be high ownership.
我的有限合伙人也一直跟我说,要拿高股权。
My LPs tell me high ownership.
至于Granola,说实话,只是我想象力不够。
And Granola, honestly, was a lack of imagination.
Chris那边我看过了,挺不错的,但那是个还很粗糙的想法。
Chris, I saw, was great, but it was a very unformed idea.
我当时就想,我不能就这么当个创始人了。
And I was like, I can't just Founder.
创始人优先。
Founder first.
只能是创始人主导。
Well, founder only thing.
如果只有创始人,另外两个人根本不存在,那双方都会犯严重错误。
When founders, other two don't exist, terrible mistakes there for both.
讽刺的是,你们俩都做得非常出色,
Ironically, both were you you did very well,
所以恭喜你们。
and so congrats.
顺便说一句,这是两种完全不同的做法。
Two different motions, by the way.
对我来说,Granola 就是纯粹押注创始人。
Granola for me was a pure founder bet.
纯粹押注创始人。
Pure founder bet.
我认识Chris。
I knew Chris.
我认识Chris已经十五年了。
I've known Chris now for fifteen plus years.
而且他也不是那种特别会推销自己的人。
He's also not an amazing seller.
我打算直接给他。
Just gonna give it if I
之前我没把话说得太直白。
hadn't been blunt.
但我跟克里斯私下里挺熟的。
But I knew Chris up close.
所以我当时在搞 Anchor 这个项目的时候,Socratic 是他之前的创业公司,就紧挨着我们。
So when I was building Anchor, the Socratic office, Socratic was his previous startup, was right behind ours.
我们还一起参加过几次聚会。
And we did a few meetups together.
我们俩的团队一起搞过几次聚餐喝酒。
Our we got our teams together for a few happy hours.
我和他作为创始人经常聊天,互相倾诉创业中的困难,也给彼此提建议。
And I and I you know, I would talk to him as another founder, and we would share our struggles and, you know, get advice from each other.
我觉得这人肯定行,我了解他。
I was like, this guy, I know he can do it.
我亲眼见过他做事。
I've seen him.
我亲眼看过他把事情做成。
I've seen him do it.
这纯粹是押注创始人。
Pure founder bet.
Suno 这个项目完全不一样。
Suno was something very different.
Suno 是基于明确判断做出的投资。
Suno was a pure thesis driven bet.
对我来说,这个投资逻辑源于Anchor时期,那时我亲眼看到一个产品如何让创意表达变得大众化。
For me, the thesis came from actually the days of Anchor and seeing what it meant for a product to democratize a creative medium.
在AI出现之前,音乐领域从来没能真正实现大众化。
And music had never really been fully democratized before AI.
于是我走出去,见了每一个在做音乐AI的团队。
So I went out and I met with every team building AI for music.
我到处寻找,把所有相关团队都找了一遍。
I went out and I hunted down every team.
然后我就遇到了Mikey和他们的团队,我当时就心想,这真是个了不起的团队。
And then and then, of course, I met Mikey and the team, and I was like, wow, is an incredible team.
接着,从创始人的角度再看,我更加确定,这真是个了不起的团队。
And and then the founder then the founder lens came on, and I was like, this is an incredible team.
你第一次见到创始人时,怎么判断这个人值不值得投资?
How obvious is it when you meet a founder that you wanna invest?
见到Mikey和Suno的创始团队时,我是一眼就决定了。
With Mikey and the Suno founders, it was immediate.
我第一次见Mikey就立刻有感觉了吗?
I I met Mikey normally immediate?
不一定。
Not always.
不是每次都这样。
Not always.
但Suno这边,确实是。
With Suno, was.
我和Mikey在新泽西州霍博肯我家附近的一家餐厅见了面。
Mikey and I sat down at a restaurant near my home in Hoboken, New Jersey.
他家人住在新泽西,所以我们约在霍博肯碰头。
His family's in Jersey, so we met up in Hoboken.
我们一见面就特别投缘。
We just immediately hit it off.
瞬间就有一种默契。
Just instant connection.
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