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好了,各位。
Alright, everybody.
欢迎回到你们最喜欢的播客。
Welcome back to your favorite podcast.
这里是All-In播客。
It's the All-In podcast.
现在是夏天。
It's the summer.
今天是8月6号。
It's August 6.
今天凑齐人有点费劲,不过大卫·弗里德伯格在。
Having a hard time getting a quorum here on the podcast, but David Friedberg is here.
大卫·弗里德伯格回来了,我们的科学苏丹。
David Friedberg is back, our sultan of science.
兄弟,你怎么样?
How are doing, brother?
很高兴和你在一起。
Great to be with you.
我也很高兴和你在一起。
It's great to be with you.
大家都很喜欢的布拉德·格斯特纳也来了。
And everybody loves Brad Gerstner is here.
他就是你的布鲁斯·韦恩。
He's your Bruce Wayne.
如果你玩市场,他能让你的收入带来那种宁静感。
If markets are your game, he brings that namaste to your payday.
打折买他的眼镜,然后
Buy his glasses at discount, and
他会给你
he'll get you
一个那种花哨的特朗普账户。
one of those fancy Trump accounts.
好的。
Alright.
欢迎回到节目,布拉德。
Welcome back to the program, Brad.
我喜欢。
I love it.
我喜欢。
I love it.
你带回了那些押韵的开场白。
You bring the rhymes back.
我带回了点开场白。
I bring a little intro back.
我们一直在尝试,查马斯现在在路上。
We've been try Chamath is on the road right now.
查马斯在路上,但我们会收到查马斯的现场报道,而且我,我打电话给了丹尼尔。
Chamath is on the road, but we will get a field report from Chamath, and I I called Daniel.
不知怎么的,萨克斯会来,但你知道他是什么样的人。
Somehow, Sacks is gonna be here, but you know how he is.
他总是迟到,因为你知道,总有重要人物给他打电话,但他总会找时间插进来的。
He's always late because, you know, you get a phone call from very important people, but he will break in at some point.
哦,等等。
Oh, wait.
我看到短信了。
I see in the text there.
哦。
Oh.
哦,他来了。
Oh, there he is.
他做到了。嘿,大家好。
He made Hey, guys.
他赶到了。
He made it.
你觉得我这漂亮的夏日果冻怎么样?
How do you like my beautiful summer gelee?
太棒了。
It's incredible.
非常合适。
It fits perfectly.
你看起来挺暖和的。
You look warm.
我不知道Chamath是怎么做到的。
I don't know how Chamath does this.
好了,各位,这就是报告。
Well, here's the report everybody.
大家都知道,Chamath正在路上。
As everybody knows, Chamath is on the road.
他——哦,他来了。
He oh, here he is.
这是萨克斯的照片。
He this is a photo of Sacks.
他去检查数据中心的建设进度了。
He went he went to check his data center progress.
我觉得那是在科罗拉多或者内华达,他正在那里建数据中心。
I think that's in Colorado or Nevada where he's building a data center.
我觉得那是在杜恩。
I think that's on Dune.
哦,是在《沙丘》里。
Oh, it's on Dune.
对。
Yes.
对。
Yes.
《沙丘4》。
Dune 4.
哦,是的。
Oh, yes.
他正在那里自我欣赏呢。
There he is admiring himself.
哦,看。
Oh, look.
这是纳特。
Here's Nat.
你知道一个梗火到极致是什么时候吗?就是当你老婆都开始调侃你的时候。
You know when a meme has reached its peak, when your wife starts dunking on you.
就是这样。
There it is.
然后我们就在这里。
And here we are.
这应该是在圣诞派对上拍的。
This was at the Christmas party, I think.
哦,布拉德,你上了CNBC,和安德鲁·罗斯·克拉克一起。
Oh, Brad, you were on CNBC with Andrew Ross Clark.
哦,这就对了。
Oh, there you go.
我不确定是不是我的推特推送正好选中了它,但确实,不。
I wasn't sure if it was my Twitter feed that was just selecting into it, but it No.
真的传遍了所有人。
Really hit everyone.
对吧?
Right?
这真是个爆款。
This was a viral thing.
这已经传遍所有地方了。
This has hit everything.
好了。
Alright.
听好了。
Listen.
我们还有很多事要谈。
We got a lot to get to.
别搞那些虚头巴脑的客套话了。
Enough with the shenanigans and small talk.
周三,谷歌对其AI团队进行了两次重大调整。
Google had two major shakeups to its AI staff on Wednesday.
Demis Hassabis 已经转任 DeepMind 的董事长以及谷歌的首席科学家。
Demis Hassabis has moved to chair of DeepMind and chief scientist at Google.
报道里说,这是 Demis 退居二线或者被明升暗降了。
Reports describe this as Demis stepping down or being kicked upstairs.
我们稍后详细聊聊这个事。
We'll get into that.
不过谷歌方面把它包装成了一次晋升,说他这是挑起了更大的担子。
But Google framed it as a promotion, and says he was stepping up.
这是Axios对这次人事变动的引述。
Here's Axios' quote explaining the shakeup.
引述:谷歌的Gemini 3.5 Pro落后了好几个月,一些公司内部消息人士告诉Axios,部分原因是士气低落。
Quote, Google's Gemini 3.5 Pro is months behind, with some company sources telling Axios that it's in part due to low morale.
有意思。
Interesting.
包括Gemini联合负责人在内的几位顶尖研究员已经离开公司,去了竞争对手的AI实验室。
Several top researchers including Gemini's co lead have left the firm for competing AI labs.
Chef Dean,还有另外三位AI大牛,要离开谷歌,去创办一家叫Discovery Loop的公司。
Chef Dean, plus three other AI superstars are leaving Google to start a company called Discovery Loop.
Dean是个传奇人物,Friedberg,我记得你在谷歌和他共事过,他是世界上最伟大的AI工程师之一。
Dean is a legend, Friedberg, and I think you worked with him at Google, one of the world's great AI engineers.
他是第30号员工,1999年加入,据我所知,一直在那里工作了27年。
He was employee number 30, joined in 1999, and has worked there, from what I understand continuously, for twenty seven years.
Discovery Loop将专注于AI领域的深度科学突破。
Discovery Loop's gonna be focused on deep scientific breakthroughs in AI.
谷歌股价因迪恩离职的消息下跌了4%。
Google shares down 4% on the news of Dean leaving.
所以市值蒸发了2000亿美元,如果你想把这俩联系起来的话。
So 200,000,000,000 in lost market cap if you wanna correlate those two things.
弗里德伯格,这可是你的母校啊。
Friedberg, this is your alma mater.
你对此怎么看?
What are your thoughts here?
这是创造性破坏吗?
Is this creative destruction?
也许这些人业绩不佳,他们想要新鲜血液,或者这只是AI领域资本无限、机会无限的时代里,创业的诱惑太大,连谷歌的老将们都忍不住要抓住机会。
Maybe these people weren't delivering and they wanted fresh blood, or is this just the siren call of doing a startup in an age of unlimited capital for AI and unlimited opportunity just being too much for the OGs at Google to not take advantage of.
也许是第三种情况,如果你是董事会或管理层,你会在如何最好地部署资本上进行辩论。
Maybe it's the third bucket, which is if you're the board and the management, you're having a debate about how to best deploy capital.
谷歌已经承诺今年在AI基础设施数据中心建设上投入2000亿美元的资本支出。
Google has made a commitment to deploy $200,000,000,000 in Capex this year in AI infrastructure data center build out.
因为资本支出和加速折旧,现在在美国投资AI计算基础设施,税收优惠非常大。
Because of the Capex and accelerated depreciation, making an investment in AI compute in The US right now is hugely tax advantaged.
而且由于对计算能力的需求极其旺盛,这显然是一个很清晰的投入资本回报率模型。
And because of the extreme demand for compute, it's a pretty obvious kind of ROIC model, return on invested capital.
所以如果你做这类投资,你对基础设施的需求会很大。
So if you make this sort of an investment, you have significant demand for infrastructure.
你非常擅长运营计算基础设施。
You're very good at running the compute infrastructure.
这笔资本可以在可预测的时期内,以很高的确定性为你带来巨大的利润回报。
That capital can deliver massive profit returns for you with very high confidence in some forecasted period.
打造最前沿的实验室驱动模型也需要数百亿美元的资本。
Building the most advanced frontier lab driven model also takes tens of billions of dollars of capital.
真正的问题是,你能从模型中赚到利润吗?
And the question really is, can you deliver the profits from the model?
在一个开源模型越来越强大、开放权重模型追赶速度飞快、所有前沿实验室都在快速赶超彼此的世界里,投入数百亿美元去构建一个模型,真的还那么划算吗?
And in a world where open source is becoming so good and open weights models are catching up so quickly and all the frontier labs are catching up to each other so quickly, does it really make as much sense to deploy tens of billions of dollars against building a model?
而且我觉得,那些离开的科学家,都是核心搞模型开发的,就是做这些前沿模型的人。
And I think that the scientists that we're seeing transition out are the scientists that have been at the core of model development, of making these frontier models.
他们当然是最早动手的那批人。
And they were certainly first out the gate.
你可以看看一些
You can look at some
几年前杰夫·迪恩的早期采访,那时候他们内部其实已经有一个和ChatGPT差不多的东西,比OpenAI的ChatGPT早了一年。
of the early interviews with Jeff Dean from a couple years ago where they actually had a ChatGPT equivalent internally a year before ChatGPT came out from OpenAI.
谷歌选择不发布,是怕影响搜索业务之类的。
Google chose not to release it for fear of cannibalizing search and so on.
那时候谢尔盖就介入了,然后整个就重新焕发了活力。
That's when Sergei stepped in, and there was this whole kind of revitalization.
但是随着时间推移,大家都在模型上竞争,就像我们在节目里多次聊到的,我觉得很明显,在模型开发上投入资本,很难获得和在计算基础设施上投入资本一样的回报,而且还要保持模型无关。
But as time has gone on and as everyone has competed on models, as we've talked about many times on the show, I think it's pretty obvious that it is very hard to get the same sort of return on capital invested in model development as it is in capital invested on compute infrastructure and being model agnostic.
谷歌拥有的,可能是全球最大的企业级计算基础设施之一。
What Google has is probably one of the greatest install enterprise basis in the world for compute.
所以他们拥有最多的企业客户。
So they have the most enterprise customers.
他们也有最多的消费者用户。
They have the most consumers.
在这两种情况下,他们不一定需要拥有最好的模型也能做成非常出色的生意。
And in both cases, they don't necessarily need to have the best model to make an incredible business.
他们可以保持对模型不偏不倚的态度。
They can be model agnostic.
他们可以和 Anthropic 合作。
They can work with Anthropic.
他们也可以和 OpenAI 合作。
They can work with OpenAI.
他们还能跟 SpaceX 合作。
They can work with SpaceX.
他们在 SpaceX 和 Anthropic 都持有相当可观的股份,而且还能使用所有开源权重的模型。
They have a significant ownership stake in SpaceX and in Anthropic, and they can work with all the open weights models.
他们可以把这些模型都托管起来。
They can host them all.
所以,如果你是一位顶尖的计算机科学家,比如你是丹尼斯,或者你是杰夫·迪恩,属于这一整个核心团队,身处谷歌内部时,你会发现公司分配资金并不是给你的模型,也不是给你最感兴趣的那些项目,而是投向了基础设施、数据中心,以及支持广泛的模型生态。这时候你可能会想,既然我完全可以走出去,去找布拉德·格斯特纳还有另外几个人,拿着一份PPT就能融到几十亿美元,而且是在估值几十亿美金之前完成融资,因为我是这行里最厉害的人,那这可能是一条更好的路。
So now if you're one of the great computer scientists, you're Dennis, you're Jeff Dean, you're this whole crew, and you're inside of Google, they're allocating capital not to your models, not to the things that you're most interested in, but they're allocating capital to infrastructure and data centers and supporting the broad ecosystem of models, you start to say, well, given the fact that I can go down the road and visit Brad Gerstner and a couple other people and raise a couple billion dollars at a multibillion dollar pre money with a PowerPoint deck because I'm the greatest in the world at doing this, that might be a better path for
对我来说是这样。
me.
确实如此。
Mhmm.
我觉得这就是关键点。
And I think that that's the moment.
所以我会这样总结:在数据中心基础设施这块,资本支出属于高阿尔法、低贝塔;而在模型开发方面,理论上也是高阿尔法,但风险极高。
So I the way I would frame it is Capex is high alpha, low beta in data center infrastructure, that capital.
理论上是高回报,但波动性非常大。
And model development theoretically could be high alpha, but it's very high beta.
把资金投在这里风险太大了。
It's a very risky way to deploy capital.
所以如果我是董事会,我是管理层,我会把更多资本投入到计算基础设施上,减少对模型开发的投入。
So so if I'm the board, I'm the management, I'm deploying more capital in compute infrastructure, less capital into model development.
我觉得这就是正在发生的事情。
That's what I think is going on.
布拉德,你怎么看?
Brad, what's your take on this?
我觉得大卫说得对。
I think David nails it.
我是说,听我说。
I mean, listen.
微软那边也在发生同样的事情。
The same thing's going on at Microsoft.
对吧?
Right?
萨蒂亚这周出来说,你知道,他签了摩根士丹利的报告,说他们看到代币即服务的投资资本回报率超过30%。
SaaCy is out this week saying, you know, signing Morgan Stanley's report and saying they're seeing over a 30% return on invested capital in tokens as a service.
对吧?
Right?
所以在基础设施业务里。
So in the infrastructure business.
我觉得大卫说得完全对。
So I think David's exactly right.
那些业务真是太好了。
Those are such good businesses.
对吧?
Right?
你投入资本。
You you you you deploy capital.
大家都来租你的。
Everybody's renting it from you.
但是那些想参与超级智能、想治愈癌症、想站在这些模型前沿的科学家们,对吧,他们正面临谷歌内部的渠道冲突,因为谷歌云想把所有算力都租给Anthropic,而那些内部开发前沿模型的人想要这些算力来和Anthropic竞争。
But the scientists who wanna be involved in superintelligence, who wanna cure cancer, who wanna be on the frontier of these models, right, they're sitting there dealing with this channel conflict at Google because, you know, Google Cloud wants all of the compute in order to rent it out to Anthropic, and those for those building the Frontier models internally want that compute in order to compete with Anthropic.
所以,在想要构建模型的人和想要出租算力的人之间,就存在这种固有的渠道冲突。
So you have this inherent channel conflict between those wanting to build the models.
我觉得David说得非常好,这对他们来说确实是个很大的挑战。
I think David said it really well, and I think that's a that that's a big challenge for them.
看起来这个冲突正在朝着更偏向基础设施公司的方向解决。
It looks like it's being resolved in favor of being more of an infrastructure company.
那接下来,我们稍微把视野拉远一点。
So where does you know, telescope out for a second.
SpaceX这周也发布了消息。
SpaceX also reported this week.
他们同样存在渠道冲突。
They also have channel conflict.
他们一边把算力租给Anthropic,一边又试图用Grok和Cursor来构建自己的模型。
They're renting out their compute to Anthropic at the same time they're trying to build their own model with Grok and Cursor.
在Google那边也有这种渠道冲突。
You have that channel conflict at Google.
微软也有这种渠道冲突,虽然我觉得他们在模型方面已经不怎么推前沿了。
You have that channel conflict at Microsoft, although I don't even really see them pushing the frontier anymore in terms of models.
Meta 也在说要进入基础设施即服务这个领域。
Meta's talking about getting into the infrastructure as a service game.
而 Anthropic 和 OpenAI 呢,他们完全没有这种渠道冲突。
And then at Anthropic and OpenAI, you don't have any of that channel conflict.
他们说我们不做基础设施业务。
They say we're not in the infrastructure business.
我们只做模型业务。
We're only in the model business.
所以我觉得,这让我们看未来更清楚了,如果这些人都走了,可能这些公司就不会在模型开发的前沿了。
So I think it's a, you know, a clarifying view as we look forward that we may in fact not have those companies on the frontier of of of model development if all these people leave.
顺便说一句,多亏了资本支出折旧的法律,假设公司税率是26%,你每投入一美元在资本支出上,因为可以当年抵扣,基本上就能省26%。
By the way, thanks to the law passed on Capex depreciation, if you assume a 26% corporate tax rate, every dollar you deploy in Capex because you get to write it off in this year, you're basically getting 26% off.
你知道,那钱就直接回来了。
Know, that's money you get right back.
对。
Yeah.
对。
Yeah.
嘿,Sacks。
Hey, Sacks.
你也来评论一下这个吧,Polymarket上,到今年12月31日,哪家公司会拥有排名第一的AI模型。
Let me have you comment on this as well, Polymarket, which companies will have the number one AI model by the end of this year on December 31.
当然,上次他们预测的时候,Anthropic赢了,所以他们现在不在名单上,他们是赢家,但接下来谁会领先呢?
Now, of course, in the last time they did this, Anthropic one, so they're not on the list, they're the winner, but who will have it going forward?
OpenAI占32%,谷歌20%,阿里巴巴14%,然后还有Moonshot、xAI、Meta、字节跳动,都在10%左右。
Open AI 32%, Google 20%, Alibaba 14%, and then you got Moonshot, x AI, Meta, ByteDance, all at about 10%.
那么,Sacks,你觉得哪个是更好的生意?
So, Sacks, your thoughts here on what's the better business?
更好的生意是做语言模型、前沿模型,还是这个会很快变得商品化,而你其实应该做token销售业务?还是那个也会变成商品,你只需要待在应用层?
Is the better business being in the language model, frontier model, or is that getting quickly commoditized and really you wanna be in the token sale business or is that also gonna be a commodity and you just need to be on the application layer?
从市场结构的角度来看,我是这么想的。看到谷歌的新闻时,我的第一反应是:现在只剩两家了。
Here's what I think is going on in terms of the the market structure is when I saw this Google news, my reaction was and then there were two.
就像布拉德刚才说的,就在一年前,还有五家大公司争夺前沿实验室和前沿模型的头把交椅。
Because like Brad was saying, we used to have five major companies in the hunt to be the leading frontier lab, the leading frontier model just a year ago.
而现在,真正剩下的只有 Anthropic 和 OpenAI 这两家了。
Now, we're really down to just anthropic and open AI.
所以,前沿智能的市场已经变成了双寡头格局。
So the market for frontier intelligence has become a duopoly.
现在,埃隆还在继续寻找。
Now, Elon is still on the hunt.
我相信谷歌也会说他们还在努力。
I'm sure Google would say they're still on the hunt.
但就像布拉德说的,他们在那儿可能存在利益冲突,因为他们光靠算力就能做得相当不错。
But like Brad is saying, they may have contradictory incentives there because they can actually do quite well just with their compute.
所以我认为前沿智能市场已经形成了双头垄断。
So I think that the market for frontier intelligence has become a duopoly.
我觉得这是一个非常强大的双头垄断。
I think it's a very powerful duopoly.
我不认为它正在被商品化。
I don't think it's being commoditized.
我认为我们正在演变成一个两层市场结构,一个是前沿智能市场,另一个是所谓的商品化或滞后智能市场,随便你怎么叫,就是落后六到十二个月的那种。
I think that what we're evolving to is a two tier market structure where there's a market for frontier intelligence and there's a market for, let's call it kind of commodity or lagging intelligence, whatever you wanna call it, that's six to twelve months behind.
那些代币、那些模型是有市场的,但现实是,你无法为权重本身收费。
There is a market for those tokens, those models, but the reality is you can't charge anything for the weights.
你可以为计算能力收费。
You can charge for the compute.
你可以为你提供的推理服务收费。
You can charge for the inference that you're providing.
你基本上可以为帮助整合整个系统的咨询服务收费。
You can charge for essentially consulting services to help put the whole thing together.
但如果你不在前沿,你就无法为模型层本身收费。
But if you're not at the frontier, you can't charge for the model layer itself.
如果你处于前沿,你可以收取溢价,而Anthropic和OpenAI就处于这个位置。
If you are at the frontier, you can charge a premium, and that's where Anthropic and OpenAI are.
我认为证明这一点的方法就是看看这些公司的增长率。
And I think the proof for this is just you look at the growth rates of these companies.
我们最近听到的消息是,Anthropic的年经常性收入已经超过800亿美元。
The latest we heard is Anthropic is now over 80,000,000,000 of ARR.
年初的时候是100亿。
Started the year at 10.
他们原本预测年底的年经常性收入能达到1000亿,当时大多数人都说这不可能实现。
It had forecast a 100,000,000,000 as exit ARR for the year, and most people said that that would be impossible to achieve.
现在看来,他们可能提前几个月就能完成这个目标。
Now it looks like they're gonna do it with a couple of months to spare.
所以他们的预期数字在往上调。
So their estimates are going up.
我的意思是,年底的年经常性收入可能会达到1100亿、1200亿,甚至更高。
I mean, one ten, one twenty, or higher for end of year ARR.
OpenAI的增长也在加速。
OpenAI seeing acceleration.
所以我觉得你现在看到的是市场非常明显的分化。
So I think what you're seeing now is a very clear bifurcation of the market.
前沿模型形成了双头垄断,可以收取溢价。
You've got a frontier model duopoly that can charge a premium.
我把它比作苹果。
I think of it like Apple.
你知道,苹果在跟安卓竞争。
You know, Apple is competing against Android.
安卓是开源的。
It's open source.
实际上安卓在全球的用户更多,但所有的利润都流向苹果,因为人们愿意为高端体验买单。
Android actually has more users in the world, but all the monetization goes to Apple because people are willing to pay for the premium experience.
我觉得类似地,如果真正的尖端智能确实处于领先地位,人们也愿意为此支付溢价。
I think in a similar way, people are willing to pay a premium for true frontier intelligence if it's really at the leading edge.
但如果你不在最前沿,那也有一大块市场,不过这块市场已经高度同质化了。
But if you're not the leading edge, there's a huge market for that too, but it's highly commoditized.
大家只是愿意为算力付费而已。
People are just wanna pay you for the compute.
所以我说,这就是我现在看到的现状。
So I mean, that's what I see happening right now.
对。
Yeah.
Jason,你怎么看?
Jason, what do you think?
Jason,你有什么想法?
Jason, what do you think?
咱们看看谷歌云,他们的营收同比增长了82%,这在所有云服务提供商的历史上都是前所未有的。
Well, if you look at Google Cloud, they posted 82% year over year revenue growth, which is something we've never seen, in the history of these cloud providers.
埃隆·马斯克和xAI刚刚公布了SpaceX的财报。
Elon Musk and x AI just had the SpaceX earnings.
我们会谈到这一点,不过他们的所谓‘Elon网络服务’也出现了大幅增长。
We're gonna get into that, but they also had massive uptick in their Elon web services as I've dubbed it.
至于谷歌,我依然认为它会是排名第一的AI公司,因为已经有大量用户在使用他们产品中的AI功能了。
And if you look at Google, I still think Google will be the number one AI company because they have so many people using AI inside of their products already.
现在他们有五个产品的月活跃用户都超过了30亿。
They have five products now with over 3,000,000,000 monthly users each.
Android、搜索、Gmail、Chrome和YouTube,每个的用户量都超过了30亿。
Android Search, Gmail, Chrome, YouTube, all have over 3,000,000,000.
如果你最近用过这些产品,你会发现它们都已经变成了以 AI 为核心的产品。
If you've used any of these products recently, they are becoming AI first products.
尤其是 YouTube,当然还有 Chrome 和 Gmail,你都能看到那里冒出来的各种 AI 工具。
YouTube especially, but obviously Chrome and Gmail, you're seeing tools pop up there for AI.
然后 Friedberg 也稍微提到了这一点,他们总共有 13 款产品,用户量都超过十亿,现在其中还包含了 Gemini。
And then Friedberg, kind of alluded to this, they have 13 products total with over a billion, and that now includes Gemini.
在第二季度,Gemini 的月活跃用户超过了 9.5 亿,同比翻了三倍。
In q two, Gemini had over 950 monthly active users tripling year over year.
今年,他们在消费者使用方面绝对会成为第一大AI公司。
They will be the number one AI company in terms of consumer usage by far, think this year.
这并不意味着前沿模型不是好生意,它们显然是的,但我一直在用非前沿模型,对于我做的95%的工作来说,已经足够了。
That doesn't mean that the frontier models are not great businesses, they obviously are, but I have been using exclusively non frontier models and for 95% of the jobs I'm doing, Sacks, it's good enough.
我刚刚发了这个,你知道,我和埃隆在这里有点争论,我想你在我们的群聊里也提到了这个。
And I just posted about this, you know, and Elon and I got into it a little bit here, and I think you referenced this in our group chat.
我前几天发了条推文,说我在用的开源模型和前沿模型之间的差距已经可以忽略不计了。
I I tweeted just the other day, the difference between the open source models I'm using in Frontier is negligible already.
我相信对于我做的这些工作来说这是真的,然后埃隆回复我说,实际上差别很大。
I believe that to be a true statement for the work I'm doing, and he said, Elon responded back to me, it's actually a world of difference.
你知道吗,如果你不是在做复制视频游戏之类的事情,或者你没有特别高的速度需求,前沿模型已经不再必要了。
You know, if you're doing something other than making a copy of a video game or you have incredible speed needs, the frontier models are not necessary anymore.
它们真的不再必要了。
They're just not necessary.
那些用前沿模型的人,是因为他们公司已经配置好了,而且现在实施开源模型太难了,但以后会越来越容易。
The people using the frontier models are doing it because their company set it up and they it's too hard to implement open source right now, but it's gonna get easier and easier to implement it.
所以我仍然认为开源和Gemini是这个领域的领导者。
So I'm still going with open source and Gemini being the leaders in this space.
我觉得对你的使用场景来说,确实是这样,中端市场那种更便宜的通用智能已经够用了。
Think it it it's true for your use cases that, let's say, the cheaper commodity intelligence that middle of the market is good enough.
你看,一部安卓手机对我来说就够用了。
Look, an Android phone would be good enough for me.
我可以用一部便宜的安卓手机凑合。
I could get by on a cheaper Android phone.
你知道吗?
You know what?
我还是愿意为这个多花钱,因为我用得太多。
I still pay a premium for this because I use it so much.
所以如果你是一家企业,比如你是一家对冲基金,处于一个竞争激烈的行业,你不想冒险,不想让模型得不到最好的智能支持,对吧。
So if you're a business that let's say you are a hedge fund and you're in a highly competitive industry, you don't wanna take the chance that you're not getting the best intelligence to power your models, you know.
而且有很多这样的行业,竞争压力会促使你为最好的智能买单。
And there's a lot of industries like that where the competitive dynamics will drive you to pay for the best intelligence.
还有一种情况,这又回到了 Decagon 之前发的那篇博客文章里提到的观点:如果你是在寻找应用场景,那你肯定也想用那些真正处于前沿的技术。
There's also situations this goes back to the blog post that Decagon posted, which is if you're looking for use cases, you also wanna use the true frontier.
因为再说一遍,当你面对的应用场景还不成熟时,你根本不知道价值到底会在哪里,你只是在到处摸索,寻找能用上 AI 的机会。
Because, again, when you're dealing with immature use cases, you don't know where the value is gonna be and you're searching for opportunity to use AI.
这时候你就只想用最好的,因为再次强调,找到这些应用场景所带来的回报,远远超过你在 token 层面多付的那点溢价。
You just wanna use the best because, again, the return on finding those use cases is gonna be so much greater than the small premium you're paying at the token level.
所以我觉得这类例子很多,比如当应用场景还不成熟、身处竞争激烈的行业,或者你刚开始部署 AI 的时候,你会希望拥有那种完整的……
So I think there's a lot of examples like that when, you know, the use case is immature, where you're in a competitive industry, where you're just deploying AI, you want the convenience of the full
那为什么不直接用前沿模型呢?
So why not go frontier models?
对。
Yeah.
你看。
Look.
再说一遍,除非你的员工在干些蠢事,比如搞个排行榜然后拼命刷 token,否则我觉得成本差别其实没那么大。
Again, you know, unless your employees are doing something stupid like you create a leaderboard and they're token maxing, I don't think the cost is that great.
而且,你得到的好处是巨大的。
And again, the benefit that you're getting is huge.
所以很多人就是想要最好的。
So a lot of people are just like, give me the best.
我愿意为最好的付溢价。
I'm willing to pay a premium for the best.
我有点不同的看法。
I'll take a slightly different take.
我觉得问题不一定是你用最好的模型还是开源模型。
I think that it's not necessarily do you take the best model or the open source model.
我觉得现在有一种混合的趋势。
I think that there's a blend that's happening.
至少我看到的是这样。
At least that's what I see.
比如,对于大多数简单的工作流应用,我们会用开源、开放权重的模型。
For example, we'll use open source, open weights for a vast majority of simple workflow applications.
但说到专业应用,比如生命科学和基因组建模,我们确实需要高质量模型的能力,这时我会选择高端模型。
But when it comes to specialized applications where we really need to have high quality model proficiency, for example, in life sciences and genomics modeling, I am going to go for the premium model.
如果我在媒体公司工作,要做AI视频渲染,我会用Gemini的视频模型。
If I'm working at a media company and I'm trying to do AI rendering of video, I'm going to use Gemini's model that does video.
那是最佳模型,或者Sora,或者任何最适合那个特定应用的模型。
It is the best model or Sora or whatever the best model is for that particular application.
所以我觉得,认为有一个模型能搞定所有事情的想法,其实是个错误的假设。
So I think the idea that there's kind of a model that you pick for everything, I think is the false assumption.
在消费者这边,他们很可能不会用开源权重模型,因为他们可以每月花20到40美元订阅ChatGPT、Gemini或Claude,并且很满意,这样他们基本上能最小化运行成本。
On the consumer side, it is likely the case that the consumers are not gonna be using some open weight model because they can pay $20.40 bucks a month and get chat GPT or Gemini or Claude and be very happy paying $40 a month, and they'll basically be able to minimize their cost to run that for consumers.
对于企业来说,我认为他们会非常积极地选择最合理的模型组合。
For enterprise, I think the enterprise is gonna be very active in selecting a blend of models that are gonna make the most sense.
对于简单的工作流程应用,比如员工个人开发应用,用非常便宜的开源权重模型就够了,然后对于关键工作流程任务,用更复杂的模型,还有专门化的模型。
Very cheap open weight model for simple workflow applications, individual employees spinning up an app, whatever, and then more complex models for those really key workflow tasks and then specialized models.
而且我想说,现在说Gemini不行还为时过早。
And I will say it is way too early to count Gemini out on building
当然。
For sure.
非常专业的模型。
Incredible specialized models.
他们有最好的视频数据。
They have the best video data.
他们有最好的生命科学数据。
They have the best life sciences data.
在生命科学方面,他们比Anthropic或OpenAI研究的时间长得多。
They've been working on this for far longer than Anthropic or OpenAI in the life sciences side.
他们在这方面遥遥领先。
They're very well ahead on that front.
我的意思是,Demis仍然会负责Isomorphic Labs。
I mean, Demis is still gonna be running isomorphic labs.
所以,当谈到这些专业模型,比如视频、生命科学、蛋白质折叠这样的垂直专业模型时,我认为这些才是Gemini真正大放异彩的地方,然后每个企业都会有一个混合模型组合。
So when it comes to these specialized models, verticalized specialized models like video, life sciences, protein folding, I think these are the things where you're really gonna see Gemini shine, and then every enterprise is gonna have a mixture.
但是,嘿,如果你能成为提供这种混合模型的云服务提供商,就像谷歌GCP现在能做到的那样,那我宁愿选择跟GCP合作,而不是只跟Anthropic合作。
But, hey, if you can be the cloud service provider with that mixture of models, which is what Google GCP can now be, I'm gonna sign up for working with GCP versus working just with Anthropic.
这带来的一个影响就是价格压力下降了。
One of the things this has created is downward pressure on the pricing.
我们看到OpenAI和Claude大幅降低了token价格,所以他们也在应对。
We saw OpenAI and Claude do massive price cuts for tokens, so they are reacting.
他们并没有坐以待毙。
They're not taking and sitting down.
而且这些模型之间的编排正在被集成到很多工具中,确实。
And the orchestration between these models is being built into a lot of harnesses Sure.
在企业内部。
Inside of enterprises.
那你怎么看待token价格下降的压力,还是说这对消费者和企业来说都是好事?听着,
So what's your take on the downward pressure on token pricing, or is this just great for consumers and enterprises because Listen.
现在竞争非常激烈。
We've got massive competition.
这就是关键所在。
That's the thing.
美国正在赢。
America's winning.
这正是你想要的。
It's exactly what you want.
我们有一个竞争极其激烈的市场。
We have massively competitive market.
我们有中国的开源模型、国内的开源模型,还有那些前沿国家实验室在做他们的事情。
We have Chinese open source, domestic open source, Frontier National Labs that are doing what they're doing.
我们看到了价格下行的压力。
We have downward pressure on pricing.
你知道,大卫提到了双头垄断。
You know, David referenced a duopoly.
你知道,我觉得现在很难称之为双头垄断,因为这才刚开始几年,而且还有像亚马逊、微软和谷歌这样的巨头在。
You know, I think it's hard to call it a duopoly when you're, you know, only a few years into this and you have giants like Amazon, Microsoft, and Google.
我确实觉得他说得对。
I do think he's right.
我确实觉得他们已经崭露头角,成了纯正的玩家。
I do think they've emerged, you know, as the pure plays.
他们的收入表明他们正在赢得更多的客户份额。
Their revenues would suggest that they're, you know, they're gaining share of wallet.
但我想说两点,因为我觉得这周提到的这些观点不是主流看法。
But there are two points I wanna make here because I think they're nonconsensus views that were spoken this week.
一个是埃隆对你的回应,杰森。
One was Elon's response to you, Jason.
对吧?
Right?
过去两周,大家都在说中国人已经追上了,开源模型在智能方面也追上了,而且便宜得多,等等。
Over the last two weeks, everybody's been saying that the Chinese have caught up, that open source tokens have have caught up in intelligence, that they're much cheaper, etcetera.
然后埃隆出来说,别急。
And Elon comes out and says, not so fast.
我们正在进入奇点,前沿模型比人们想象的要领先得多。
We're entering the singularity, and the frontier models are way further ahead than people think.
我相信这是真的。
I believe that to be true.
我觉得对于你的使用场景来说,它们非常相似,但我认为那不是人们试图训练和体验的最复杂的使用场景。
I think for your use case, they're very similar, but I don't think that's the most sophisticated use case that people are trying to train on and trying to experience.
然后黄仁勋这周出来说,闭源模型实际上更便宜。
And then Jensen came out this week and said closed models are actually cheaper.
你知道,如果你不必自己构建,如果你不必承担训练成本和大量专业知识来微调、维护、设置护栏并确保安全。
You know, if you don't have to build it for yourself, if you don't have to you you know, the training cost and a lot of expertise to fine tune and maintain and guardrail and keep it safe.
所以他基本上是在论证,不仅前沿模型更领先,而且两者之间的成本差异也不像大家说的那样,这我认为解释了为什么他们在收入方面继续遥遥领先。
So he's basically making the argument that not only are the the the frontier models further ahead, but that the cost differential between the two is not what everybody's making it out to see to to be, which I think explains why they continue to run away with it on the revenue side of the equation.
但我认为我们有健康的竞争。
But I think we have healthy competition.
你说得对,Jay Cal,对于绝大多数使用场景来说,确实如此。
I you're right, Jay Cal, you know, for the vast majority of use cases.
我觉得开源模型的token消耗量在上升,而前沿实验室的经济份额也在增加。
I think token consumption is going up for the open source guys while share of economics is going up for the Frontier Labs.
我觉得这正是我们想看到的。
I think that's what we wanna see.
对。
Yeah.
这简直就是安卓和苹果的翻版。
And it's just Android versus iPhone all over again.
一个平台赚钱,另一个平台获得大多数用户,至少在全球使用量上是这样。
One platform makes the profit, one gets the majority of users, at least globally, in usage.
好了。
Alright.
我们来聊聊SpaceX吧。
Let's talk SpaceX here.
他们作为上市公司发布了第一份财报。
They had their first earnings report as a public company.
股价跌了13%,我觉得是因为大家对激增的AI资本支出有点担心。
Shares dropped 13%, I think because people were a little concerned about the surging AI Capex.
自6月上市以来已经跌了30%,但现在似乎稳定在1.4万亿美元的估值,上市时显然超过2万亿美元。
It's down 30% since going public in June, but it's now trading at it seems to have settled in at a 1,400,000,000,000 valuation, went public obviously above 2,000,000,000,000.
第二季度的业绩只能用“惊人”来形容。
Q two results were spectacular is the only way to put it.
收入78亿美元,同比增长92%。
7,800,000,000 in revenue, up 92% year over year.
好好想想这个数字。
Let that sink in.
AI收入环比增长67%,网络服务的AI收入环比增长超过三倍,达到26亿美元。
And 67% quarter over quarter AI revenue, view on web services, more than tripled quarter over quarter to $2,600,000,000.
那不是Cursor。
That's not Cursor.
那笔交易还没完成,但这将是历史上最伟大的收购之一。
That hasn't closed yet, but that's gonna be one of the great purchases in history.
这是来自Elon Web Services,专门把Colossus服务器集群的算力租给Anthropic和Google。
This is from Elon Web Services renting out compute specifically to Anthropic and Google from the Colossus collection of servers.
但本季度资本支出增加了184亿美元。
But Capex was up 18,400,000,000 in the quarter.
这是去年同期的六倍。
That's six x year over year.
显然,你可以算一下,年化运行率大约750亿美元。
Obviously, you can do the math there for a run rate of about $75,000,000,000.
我先说到这里,Brad,想听听你对SpaceX IPO的看法。
I'll stop there and get your reaction, Brad, to the SpaceX IPO.
我知道你一直在关注这个,也评论过,对吧?
I know you've been tracking this and commented on it, haven't you?
嗯,听着。
I mean, listen.
我觉得先从这个说起吧。
I think that one first, let's start off.
这家公司创造了1.4万亿美元的价值,真是非同凡响。
$1,400,000,000,000 of value creation for this company is extraordinary.
所以从最高点到最低点,它比IPO时下跌了40%到50%。
So the fact that from peak to trough, it's down 40 or 50% from the IPO.
几周前我们展示过那张图表。
We had that chart out a few weeks ago.
记住,在IPO后的六个月内,几乎所有科技股都会从峰值下跌50%。
Remember that within six months of the IPO, almost all these tech stocks are down 50% peak to trough.
现在SpaceX也出现了同样的情况。
We see it again here with SpaceX.
我觉得这个季度表现非常扎实。
I thought it was a really solid quarter.
我觉得他的指引相当出色。
I thought his guides were pretty extraordinary.
到年底实现1000亿美元的年度经常性收入,而且他把1万亿美元的年度经常性收入目标提前了一年,从2031年提前到2030年。
100,000,000,000 in ARR by the end of the year, and he pulled forward the $1,000,000,000,000 target in ARR by a year from 2031 to 2030.
展开剩余字幕(还有 480 条)
现在来对比一下,摩根士丹利对2030年的营收预测是3250亿美元,这同样非常惊人。
Now to just put that in perspective, Morgan Stanley's 2030 revenue estimate is 325,000,000,000, which is also extraordinary.
别忘了,这家公司去年的营收是180亿美元。
Remember, this company did 18,000,000,000 in revenue last year.
所以不管你是看摩根士丹利的数据还是马斯克的数据,很明显,市场并没有把这些考虑进去。
So whether you're taking Morgan Stanley's numbers or Elon's numbers, clearly, the market is not pricing that in.
在2万亿美元的时候,我们提前几年就定价了。
At 2,000,000,000,000, we were pricing ahead a couple years.
我觉得现在,你知道,这个价值反映的是我们目前的情况。
I think now it's you know, the the value reflects kind of where we are.
市场对几件事有疑问。
The market has questions about a few things.
具体来说是这样的。
Here's what they are.
第一,关于租赁业务,也就是算力租赁业务。
Number one, on the rental business, the rental of compute business.
他把一大块算力租给了Anthropic。
He rented out a huge block of compute to Anthropic.
这就是我们一直在讨论的问题。
It's the question that we've been talking about here.
你是打算用这些算力来构建自己的前沿模型,还是打算把它租出去?
Are you gonna use the compute to build your own frontier model, or are you going to rent it out?
如果租出去,你能找到那些有资金来承接这些算力的人吗?
And if you rent it out, are you going to be able to find those people who have the capital to off take that compute?
他说的数字非常庞大,10到20吉瓦,人们都在想他们怎么才能负担得起。
He's talking enormous numbers, 10 to 20 gigs, and people are wondering how they're going to be able to finance that.
而且记住,这些GPU租赁业务往往以非常低的倍数交易。
And remember, those businesses, the GPU rental businesses, tend to trade at very low multiples.
看看CoreWeave之类的公司。
Look at CoreWeave, etcetera.
至于前沿模型业务,我觉得这才是隐藏的赢家。
On the frontier model business, I think this is the sleeper.
我记得他在电话会议上说,Grok 在七月份的令牌量翻了三倍。
I think he said on the call that Grok tripled tokens in the month of July.
这还不包括 Cursor。
That doesn't include Cursor.
Cursor 本来就已经在朝着年底从 30 亿增长到 100 亿的目标前进了。
Cursor was already on a path to go from 3,000,000,000 to 10,000,000,000 by the end of the year.
到年底,Cursor 加上 Grok 可能达到 100 到 200 亿。
Cursor plus Grok could be at 10 to 20,000,000,000 by the end of the year.
那将是一项极其宝贵的资产,其估值倍数会比数据中心业务高得多。
That would be an extraordinarily valuable asset gonna trade at a much higher multiple than the data center business.
而且,当然,我们还没谈到 Starlink 以及他打算做什么,我觉得他会在移动领域大展拳脚。
And then, of course, we haven't even talked about Starlink and what he's going to do, you know, I think gonna run the table on mobile.
所以这就是正常的整合过程。
So this is the normal consolidation.
硅谷各地都有基金在分发他们的股份。
We have funds like across Silicon Valley that are distributing their shares.
股价稍微跌了一点。
The stock has traded down a bit.
这对我来说没什么好意外的。
Nothing surprising to me here.
现在关键就看执行能力了。
Now it's all about execution.
我觉得最值得关注的两件事,第一就是Grok和Cursor的营收到年底会是个什么水平?
I think the most important thing to watch the two most important things to watch are number one, how do the Grok and Cursor revenues end the year?
第二点,你知道的,就是他们在用星链逐步取代传统移动运营商方面取得的进展。
And number two, you know, the traction they get on, you know, continuing to replace traditional mobile carriers with Starlink.
分发应该是今天或者昨天开始的。
The distribution started, I think, today or yesterday.
我刚从我投的一个基金那里收到了第一次分红。
I got my first distribution from a fund I'm in.
我投了几个涉及SpaceX的基金。
I'm in a couple of funds that are in SpaceX.
看起来大家都参与了。
Seems like everybody's in that.
如果你是想套现并且长期持有的人,那显然会有下行压力,但我是为我的孙子孙女们持有的。
And that will obviously create downward pressure if you are amongst the people who wanna cash out and been in it for a long time, but I'm holding these for my grandkids.
萨克斯,你对这些惊人的结果怎么看?这些结果来自一个九个月前还不属于SpaceX业务的领域。
Sacks, your take on these spectacular, yeah, I guess is the only way to describe them, results coming from a vertical that wasn't part of SpaceX's business but nine months ago.
对。
Yeah.
你看。
Look.
我觉得这次财报电话会议非常乐观。
I thought it was a very bullish earnings call.
我有点惊讶财报后股价下跌,因为不仅业绩超预期并上调了指引,而且我觉得埃隆也谈了很多他们的计划。
I was a little bit surprised that the stock went down after the earnings call because not only was it a beat and raise, but also I think Elon spoke to a lot of their plans.
我想补充布拉德说的关于星舰的一点。
The only thing I would add to to what Brad said was around Starship.
马斯克基本上说了,我们都看到了,对吧,星舰的试飞成功了。
Elon basically said we all saw it, right, that the Starship test flight was successful.
星舰在海面上漂浮着。
The Starship's floating in the ocean.
隔热罩也起作用了。
The heat shield worked.
这会让我们现在能以更快的速度进行更多星舰飞行。
That's gonna enable more flights of Starship now at a more accelerated rate.
这为V3卫星铺平了道路,它能给星链网络提供更多带宽,进而支撑整个直连手机的业务。
That paves the way for the v three satellite, which enables much more bandwidth for the Starlink network, which then powers the whole direct to cell play.
所以这部分就搞定了。
So you had that piece of it.
我是说,整个电信方面的进展看起来都很顺利,他们对此非常乐观。
I mean, just the whole telecom aspect seemed very on track and they're very bullish about that.
然后还有整个AI数据中心这块。
And then you've got the whole AI data center play.
关于数据中心,我想他们说的是,预计到年底,计算能力会从1.4吉瓦增加到大约2吉瓦。
Now on the data centers, I think what they said is that they expected to go from 1.4 gigawatts of compute to about two by the end of the year.
埃隆说,计算能力的现货价格在每瓦30到50美元之间。
And Elon said that the spot price for computes in the $30 to $50 per watt range.
所以,你知道,你自己算算。
So, you know, you do the math.
一吉瓦等于十亿瓦,所以每瓦30到50美元就意味着每吉瓦300亿到500亿美元。
A gigawatt is a billion watts, so 30 to $50 per watt means 30 to 50,000,000,000 per gigawatt.
我觉得他们现在正处于这个范围的高端。
And I think they're at the high end of that range right now.
所以当埃隆说,看,我们年底会达到1000亿美元的年经常性收入,你只需要相信他们有两吉瓦的计算能力,每瓦50美元,就能达到这个目标。
So when Elon says, look, we're gonna end the year at a 100,000,000,000 of ARR, all you have to believe is that they're at two gigawatts of compute running for $50 a watt to hit that.
这还不包括星链、发射业务、Grok光标部分或任何这些。
That doesn't include Starlink or the launch business or the Grok cursor piece or any of these things.
所以我认为这就是他们为什么...
So I think that's why they're
所以你说的就是有很多种赢法,Sacks。
And multiple ways to win is what you're saying, Sacks.
这只股票有很多种赚钱的方式。
There's multiple ways to win with the stock.
我觉得星链简直是个不可思议的赚钱机器。
I think Starlink's just an unbelievable juggernaut cash machine.
你看财务数据,有分部报告,太空、通信和AI。
If you look at the financials, there's segment reports, space, connectivity, and AI.
在通信这边,也就是星链,他们调整后的EBITDA有26亿美元。
And on the connectivity side, the Starlink side, it they generated 2,600,000,000 in adjusted EBITDA.
你可以大概把它看成是经营性现金流。
You can kind of approximate that to be kind of operating cash flow.
太空那边大概是负2亿美元,所以差不多算持平,AI是正11亿美元。
Space was kind of, you know, negative 200,000,000, so call it breakeven, and AI was plus 1,100,000,000.
但AI,正如Brad说的,现在他们算力出租的定价到底是不是暂时的还不清楚,因为市场上算力紧缺,需要算力的人是在付溢价给Elon。
But AI, to Brad's point, it's unclear whether the pricing they're getting on compute rental today is temporary and at a premium because of the lack of compute available in the market today, and people that need compute are paying Elon a premium for that compute.
所以我觉得这还是个未知数。
So I think there's a question mark where that goes.
但星链的互联业务,本季度收入43亿美元,调整后EBITDA为26亿美元。
But the connectivity piece on Starlink, 4,300,000,000 in the quarter and 2,600,000,000 in adjusted EBITDA.
他有1200万订阅用户。
He's got 12,000,000 subscribers.
这比去年同期翻了一番。
That's doubled year over year.
每用户每月ARPU是66美元,也就是用户每月支付的费用。
$66 ARPU per month, what people are paying per month.
而且他环比增长了20%。
And he grew 20% quarter over quarter.
所以如果按这个趋势推算,他差不多要达到年化2400万订阅用户的水平了。
So if you extrapolate this out, he's pretty close to being at a 24,000,000 subscriber run rate.
在这个倍数上,我假设这些企业业务,比如航空和其他领域,会像消费业务一样规模化发展,看起来确实在这样发展。
On this multiple, I'm assuming this enterprise stuff, which is like airlines and other things scale, which they seem to be scaling with the consumer business.
单是星链就可能产生大约400亿美元的收入顶部,其中很大一部分会转化为自由现金流。
Starlink alone could be generating on the order of $40,000,000,000 of revenue top line with a huge amount of that flowing to free cash.
那一年内可能产生300亿美元的自由现金流。
That could be a $30,000,000,000 free cash flow within the year.
仅此一项就提供了为马斯克所做的很多事情提供资金的现金流。
That alone provides the cash flow to fund much of what what Elon's doing.
如果你只给它30倍的倍数,我觉得可以,因为这类订阅业务续费率非常高,客户获取成本很低,我想你大概能给星链业务30倍的倍数。
And if you just put a 30 x multiple on that, which I think you can because these subscription businesses are very high renewal rate, very low CAC, I think you could probably get a 30 x just on the Starlink business.
星链业务单独可能在两年内,甚至十八个月内,达到一万亿美元的市值,算是这样。
The Starlink business alone could be a trillion dollar market cap within two years, within eighteen months, let's say.
我认为,这能支撑所有其他项目,当作科学实验和潜在增长空间。
That, I think, funds all of the rest of this as kind of science projects and upside.
所以我有点在做一个看好的论点。
So I'm kind of making a bull case.
我觉得星链业务表现如此出色真是惊人,你可以从AT&T、Verizon、HughesNet、ViaSat那里看到这一点。
It's crazy to me how well the Starlink business performs, and you can see it in AT and T and Verizon, HughesNet, ViaSat.
我是说,这些公司已经被打得落花流水了。
I mean, these companies have been decimated.
我以前在索诺玛县的牧场上装过休斯网的卫星天线。
I used to have a HughesNet satellite dish on my Sonoma County ranch.
为了上网,我们只能用那个。
In order to get Internet, that's what we had to use.
大概每个月要两百美元左右吧。
It was like, you know, $200 a month or something.
太糟糕了。
Terrible.
因为那些高轨道的。
Because those high.
卫星。
Orbit.
对吧?
Right?
而且它们要花很长时间才能
And they take forever to
服务太差了。
Terrible service.
那个市场被星链彻底打垮了。
And that market got decimated by Starlink.
如果他推出手机直连服务,用户增长会立刻飙升,现在他每季度在消费端增加200万用户。
And if he launches the handset thing, that subscriber growth is gonna go right now, he's adding 2,000,000 subscribers on the consumer side a quarter.
你可能会看到这个数字涨到每季度四到五百万。
You could see that going to four to five million a quarter.
你确实能看到消费者订阅的加速增长。
You could actually see an acceleration in the consumer's subscription.
仅在美国,移动用户就有4亿。
Mobile sub 400,000,000 mobile subs just in The United States.
仅在美国。
Just in The United States.
光靠星链就能讲出看涨的故事。
You can make the bull case on Starlink alone.
然后剩下的部分就是,嘿。
And then the rest of it is like, hey.
埃隆会不会好好利用星链产生的多余资本进行投资?
Is Elon gonna do well with investing the excess capital that's spitting off of Starlink?
埃隆会怎么处理这笔钱?
How's Elon gonna do with that money?
嗯,我不知道还能把这钱交给谁,让他去做星舰、AI计算和Terafab那些事。
Well, I don't know who else I give it to to, like, you know, do what he's doing with Starship and with AI compute and the Terafab.
哦
Oh
天哪。
my god.
这简直是科幻小说。
This is a science fiction
我的意思是,如果你想谈税收的话。
I mean, like, if you wanna county talk about taxes.
美国就能摆脱对台湾和中国在半导体上的依赖。
The US gets off of this dependency with Taiwan and China from semiconductors.
如果马斯克把这些担子扛起来,并且实现他今天展示的愿景,这将成为地球上最伟大的半导体制造基地。
If Elon takes this on his shoulders and he delivers what he's showing as a vision here today, this is gonna be the greatest semiconductor fabrication site on planet Earth.
嗯,你知道,我想说几句,大卫,针对你的观点。
Well, you know, I I would say something, you know, David, to your point.
你知道有多少CEO或创始人会仅仅抓住星链这项业务,它是如此出色的业务,价值万亿美元,还会增长到两万亿美元,而他们不会去承担其他任何风险?
You know how many CEOs or founders would just take that Starlink business, which is such an exceptional business, trillion dollar business going to 2,000,000,000,000, and they would not take any of these other risks?
他们不会去做Terafab。
They would not do Terafab.
他们不会去建设数据中心。
They would not try to build out the data center.
他们不会去开发自己的模型。
They would not try to build their own model.
这些投资风险很高,但非常重要。
That's highly risky, but highly important investments that are being made.
我觉得,埃隆这种对前沿创新的无限热情,真是英勇且重要。
I mean, it is heroic and important that we have this level of, I just think, unbridled enthusiasm for innovation on the frontier that Elon's doing.
我希望看到更多CEO和上市公司愿意承担这样的风险。
And I wish we saw more CEOs, more public companies willing to take this level of risk.
我们刚才还在讨论,有些CEO可能因为稳妥的选择更容易,所以承担的风险较少。
We just got done talking about, you know, some CEOs maybe that were taking less risk because the safe bet was was easier to make.
埃隆就是不肯只走稳妥路线。
Elon refuses just to take the safe bet.
他把这个非凡业务赚来的所有钱,都重新投入到对美国至关重要的事情上。
He's taking all the dollars from this thing where he has an extraordinary business and plowing them back into these things that are critically important to The United States.
顺便说一句,布拉德,你说得非常好,因为看看其他CEO和管理团队,他们也开始这么做了。
And by the way, Brad, such a good point because if you look at other CEOs and other management teams, they're getting in on this.
他们开始意识到,回购股票、分红不如投资未来重要。
They're starting to realize that buying back your shares, giving dividends is not as important as betting on the future.
DoorDash 因为资本开支投入太多被狠狠批评了。
DoorDash got taken to the woodshed because they're investing too much in Capex.
显然,谷歌也因为资本开支被市场打击了。
Obviously, Google got smacked with their Capex spend.
所以这种情况一次又一次地发生。
So that keeps happening over and over again.
至于 SpaceX 将要面临的逆风,那些我认为最终会被证明是错误、但在这里值得讨论的观点是:嘿,
And just on the headwinds that SpaceX is gonna face, the arguments that I think will turn out to be wrong, but they're valid to talk about here are, hey.
对代币和计算能力的需求会持续吗?还是说本地部署、桌面端和开源模型会变得更小、更好?
Is this demand for tokens and compute gonna keep up, or does on prem and desktops and open source models getting smaller, better?
这会不会在某个时候真正抑制需求?
Does that actually mute at some point demand?
我不认为会这样。
I don't think it does.
我不知道有没有上限,我不知道按需智能有没有上限。
I don't know there's an upper I don't know there's an upper bound for on demand intelligence.
第二个方面,很明显,星链是给那些住在农村地区的人用的。
The second one, obviously, is Starlink is for people who are in a rural neighborhood.
如果你楼里有Verizon光纤或者Spectrum,你根本不需要,也没法在楼上装星链。
If you've got Verizon fiber to your building or Spectrum, you're not putting nor can you put a Starlink on your building.
所以接下来一两年可能会发生的是,等他们完成合并后,每辆特斯拉都会内置星链。
So the piece there that's explained probably in the next year or two is every single Tesla sold is gonna have Starlink in it when they get that merger done.
这意味着你会有Wi-Fi网络,让任何手机都能连接到任何特斯拉,比如那些路上的自动驾驶出租车,你还能直接连接下一代星链。
What that means is you're gonna have Wi Fi networks connecting any phone to any Tesla, say all those robo taxis out there, you'll be able to connect also directly with the next generation of Starlink.
所以只要你的手机有清晰的视线,就能直接连接。
So your phone will be able to direct if it's got clear line of sight.
它就能连接到路上任何一辆特斯拉,因为路上特斯拉很多,而且未来所有特斯拉都会内置星链。
It's gonna be able to connect to any Tesla on the road, which there are many, that all future ones will have a Starlink built into them.
这些都是很有前景的。
So those are super promising.
最后,你知道,关于估值有很多猜测。
And then finally, you know, there's been a lot of speculation about the valuation.
布拉德,是你先提起这个的。
Brad, you brought it up.
我觉得在流动性的时候,当人们问你,我也听你聊过这个,嘿。
I think at liquidity when people were asking you and I heard you talk about it, hey.
私营公司、风险投资,我们是一种投票机制,然后当它上市后,就变成了一种称重机制。
Private companies, venture capital, we are a voting mechanism, and then when it goes public, it becomes a weighing mechanism.
有时候你会遇到这样一个时刻,人们对这些估值感到焦虑,而这种焦虑在上个季度达到了顶峰。
And sometimes you'll have this moment in time where there's hand wringing about those valuations, and the hand wringing peaked in the last quarter.
特斯拉刚上市的时候,市销率是160倍。
You had a 160 times price to sales ratio for Tesla when it first came out.
160倍。
160 times.
对吧?
Right?
你拿它两到三万亿美元的市值,去对比一个较小的营收数字。
You you take their this 2 or $3,000,000,000,000 market cap and you put it against a smaller revenue number.
嗯,如果你看收入数字在增长,现在市销率已经降到45倍了。
Well, if you look at the revenue number increasing, now we're down to a 45 times price to sales ratio.
所以,Brad,这里似乎正在发生某种平衡,在私募和公开市场之间,以及收入的增长,对吧?
So some kind of balance is occurring here, yeah, Brad, between these private and public markets as well as the increase in revenue?
是的。
Yeah.
我的意思是,说实话,我觉得这一切都非常健康。
I I I mean, honestly, I think this is all super healthy.
我认为SpaceX的IPO非常出色。
I think the SpaceX IPO was extraordinary.
我认为这里的整合完全是可以预见的。
I think the consolidation here is perfectly predictable.
现在有一家市值1.4万亿美元的公司,如果你看三到四年的前景,按照摩根士丹利的数字或者埃隆的数字,以非常合理的估值,你可以看到在这项业务中翻三倍,但这一直是赌注。
And now you have a company at 1,400,000,000,000 that I think if you take a three or a four year view, you can see yourself tripling your money in this business at a very reasonable valuation on the Morgan Stanley numbers or on the Elon numbers or whatever, but that's always been the bet.
你相信埃隆是最伟大的创新者和资本配置者吗?
Do you believe that Elon is the greatest innovator and great allocator of capital?
但入场价格很重要。
But the price of entry matters.
对吧?
Right?
如果你在IPO第一天就头脑发热,以超过两万亿的市值买入,你得知道这种情况肯定会发生。
When you get carried away on day one of an IPO and you buy this thing over 2,000,000,000,000, you gotta know that this is going to happen.
IPO那天我在CNBC上说过,我想拥有这家公司,但我不确定今天就是买入的好时机。
I was on CNBC the day of the IPO, and I said, I would wanna own this company, but I'm not sure today is the day I would buy the company.
对吧?
Right?
所以,你知道的,入场价格很关键。
And so, you know Entry price matters.
我的意思是,这不仅仅是一个
I mean, is just not a
但是,但是
But but
我再给你举个例子。
let me give you another one.
你懂吧?
You know?
就像我们之前聊到的 Anthropic IPO,或者很多人都在讨论它今年晚些时候上市的事。
Like, we've talked about the Anthropic IPO, or a lot of people have talked about it later this year.
我听到很多人说估值会达到15亿或者20亿美元。
I hear a lot of people saying 1.5 or $2,000,000,000,000.
大卫刚才提到,到年底营收可能会突破一千亿。
David just talked earlier that it's gonna be run rating over a 100,000,000,000 maybe by the end of the year.
这相当于十倍到十五倍的市销率。
That's like 10 to 15 times revenue.
对于一家刚刚实现十倍增长、且传闻二季度将盈利的公司来说,这个估值并不算高。
That is not that much for a company that just grew 10 x and is rumored to be profitable in q two.
所以我观察市场,看看七月那个月的整合情况。
And so I look at the market, the consolidation we saw in the month of July.
你知道,我们在七月,希望是利奥波德底部,很多半导体股票都跌完了。
You know, we put in the Leopold bottom, hopefully, in July that, you know, a lot of semi stocks were done.
这是公式。
It's formula.
利奥波德底部。
Leopold bottom.
嘿。
Hey.
嘿。
Hey.
听着。
Listen.
这家伙做得很好。
The guy's doing great.
他显然今年还涨了80%。
He can he's apparently still up 80% for the year.
刚刚又做了一笔大的私人投资。
Just made another big private investment.
我觉得他在短时间内把公司建设得非常好,但市场确实因为那件事而恐慌了,对。
I I I think he's done an extraordinarily good job building the firm in a short period of time, but the market did panic around that Yeah.
因为他不得不平仓。
As as as he had to cover.
我觉得这些都是好事。
I think all of that is really good.
所以展望未来,随着今年晚些时候SpaceX的IPO,以及后续的IPO,我觉得我们的状态非常好,特别是如果这些收入继续快速增长的话。
So as I look ahead marching to these IPOs later in the year on the back of the SpaceX IPO, I think we're in in in really good shape, you know, particularly if these revenues continue apace.
你知道埃隆最擅长什么吗?
You know what Elon's really good at?
就是造东西。
It's just building stuff.
对,就是这样。
Like Yeah.
针对特定工厂的。
Factory specific.
顺便说一下,
By the way,
是指实体的物理站点。
is it is Physical physical sites.
在这个大家都在争抢数据中心和晶圆厂的领域里,这确实是个核心优势。
That is such a core advantage in this world where everyone's competing for data centers and fabs.
软件层需要现实世界里的硬件来支撑他们的服务,而在这方面,没人比埃隆更在行。
The software layer needs hardware in the physical world in order to deliver their software services, and there is no one better than Elon at actually doing that.
你看看全球各地建起来的超级工厂就知道了。
Look at how Gigafactories have been stood up around the world.
这才是他的核心竞争力。
This is his core competency.
所以布拉德,你想想看,把埃隆跟达里奥、山姆,甚至拥有二十七年经验的Alphabet放在一起比,如果未来世界真的拼这个,那埃隆的优势是碾压级的。
So, Brad, like, you put Elon up against a Dario and a Sam and even an Alphabet, which has twenty seven years of doing this, I mean, man, Elon's got a core advantage if this is what this world comes down to.
他在电话会议上说了类似的话,他说,看,建数据中心跟造火箭比起来根本不算什么。
He said something like that on the call where he said, look, putting up data centers is nothing compared to the difficulty of putting up a rocket.
对吧?
Right?
就像,你知道,建数据中心不是造火箭那种高难度的事。
It's like, know, creating data centers is not rocket science.
所以他们把SpaceX的一些硬件专长用到数据中心上,这就是为什么他们能比所有竞争对手更快地建起更多或更大的数据中心。
So they take some of those hardware expertise that they have from SpaceX and they put them into data centers and that's why they've been able to stand up, you know, more data centers or or bigger data centers faster than all the competitors.
这里有几个要点。
A couple points there.
Starship对Starlink为什么这么重要,清楚了吗?
Is it clear why Starship is so important to Starlink?
好的。
Okay.
让我快速解释一下。
Let me just explain this quickly.
简单来说,SpaceX 开发了一款新的 V3 卫星,它的带宽是 V2 卫星的十倍。
So basically, SpaceX has developed a new v three satellite that has 10 x the bandwidth of its v two satellite.
目前,星链网络是由 V2 卫星驱动的。
So currently, the Starlink network is powered by v two satellites.
他们用猎鹰九号火箭发射这些卫星,每次发射大约 27 颗,总共增加约 2.6 太比特每秒的网络容量。
They deploy them on the Falcon nine rocket and they launch about 27 satellites per launch and that adds about 2.6 terabits per second of total network capacity.
星舰每次发射可以部署 60 颗这种 V3 卫星。
Starship deploys 60 of these v three satellites per launch.
这样每次发射就能增加 60 太比特每秒的总网络容量。
That would add 60 terabits per second of total network capacity per launch.
所以每次发射的容量是原来的 20 多倍。
So over 20 times more capacity per launch.
这就是它的威力所在。
That's the power of it.
顺便说一下,如果他们能让星舰正常工作——上次测试不仅证明了热防护罩有效,据我所知,他们实际上还发射了,或者说部署了 20 颗 V3 卫星作为测试,并且成功与这些卫星建立了连接,证明了这项技术可行。
So if they get Starship working by the way, the last test, not only did it prove that the heat shield worked, my understanding is they actually launched or rather they deployed 20 v three satellites as a test, and they were able to make connection with those satellites and prove that it worked.
他们甚至还在上面装了摄像头。
They even had cameras on them.
我们能看到星舰,就是因为他们说,管他呢,装几个高清摄像头上去。
The reason we were able to see the Starship was because they're like, YOLO, let's put some cameras HD cameras on them.
对。
Right.
我觉得那些卫星基本上就是测试用的,然后它们……
Now I think those satellites, basically, it was just a test, and they
它们烧毁了。
They burned up.
烧毁了。
Burned up.
所以我觉得下一个重大里程碑就是,他们用星舰发射比如60颗这种V3卫星,把它们放到正确的轨道上,建立连接,增加网络带宽,那将是一个大事件。
So I think the next big milestone here will be when they launch Starship with, let's say, 60 of these v three satellites, put them in the correct orbit, make connection with them, add the bandwidth to the network, that's gonna be a big milestone.
但如果你把这个逻辑推演到底,星链网络的带宽会提升10倍,甚至最终达到100倍。
But you play this out to its logical conclusion and the bandwidth available to the Starlink network goes up 10 x or eventually a 100 x times.
到那时候,他们就能做各种有趣的事情,比如直接连到手机。
And that's when they can do all the interesting things like direct to cellular.
有一些有趣的暗示,格温·肖在谈到地面站时提到,他们可能在那里做些什么。
There were some interesting hints that Gwynshaw well talked about about with ground stations about what they could potentially do there.
而且我觉得
And I think that
可能会收购T-Mobile之类的,这完全在他们的购买能力范围内。
might buy T Mobile or something like that, It's easily within their range of purchases.
而且,我觉得埃隆提到过,星链网络最终可能处理大约一半的互联网流量。
And and I think Elon mentioned something about potentially the the the Starlink network could eventually handle roughly half of Internet traffic.
所以,我的意思是,这件事可能比1200万用户大得多,弗里德伯格,你说得对。
So, I mean, this this thing could get so much bigger than just 12,000,000 subscribers to your point, Friedberg.
但是,听着,布拉德,我想先谈谈数据中心。
But look, I I wanna actually talk about the data centers for a second, Brad.
我确实有几个问题要问。
I do have a couple of questions about this.
所以埃隆提到,好的,到今年年底我们会达到两千兆瓦。
So Elon mentioned that, okay, we're gonna be at two gigawatts by the end of the year.
他说明年我们会达到五到十,更接近十而不是五。
He said that we will be at five to 10 next year, closer to 10 than five.
那我们就说八吧。
So let's just say eight.
对吧?
Okay?
对。
So Yeah.
我随便说的,但在他们的范围内。
I'm just making that up, but it's on their range.
那我们就说增加了六千兆瓦。
So let's just say that's an add of six gigawatts.
所以他们从二涨到八。
So they go from two to eight.
好的。
Okay.
对我来说,这里有两个问题。
To me, there's two questions there.
一个是,你怎么知道现货价格会保持现在的水平?
One is, how do you know that the spot price is gonna stay where it is?
你知道,它能保持在每瓦50美元吗?
You know, can it stay at $50 per watt?
我们怎么知道?
How do we know?
我们怎么追踪?
How do we track that?
这上面有多少风险?
How much risk is there around that?
我在电话里感觉,埃隆认为这个数字会上升,因为现在市场受内存限制。
I got the sense on the call that Elon thinks that number is going up because the market is memory constrained right now.
我记得他提到明年内存产量可能会增加20%,但需求增长超过200%。
I think he mentioned that we might see a 20% increase in memory production next year, but the demand is going up 200% plus.
所以市场受制于当时的瓶颈。
So the market is constrained by whatever the bottleneck is at that time.
现在的瓶颈就是内存。
Right now, the bottleneck is memory.
那你觉得现货价格会怎么走?
So where do you see the spot price going?
我们怎么知道?
How do we know?
这其中的风险有多大?
How much risk is around that?
另一个问题是,如果你从2吉瓦增加到8吉瓦,净增6吉瓦,我们知道一个吉瓦的数据中心大约需要500亿美元的资本开支。
And then the other question I would have is if you go from two to eight gigawatts that you have net of six, we know that a gigawatt power data center is, you know, 50,000,000,000 of Capex.
对。
Right.
所以如果明年真建起来的话,新增的六吉瓦算力对应的资本支出就是三千亿。
So six incremental gigawatts of compute would be 300,000,000,000 of Capex next year, assuming they build that.
对吧?
Right?
我是说,他们肯定有其他的灵活安排。
I mean, they have optionality around that, I'm sure.
那这笔钱怎么融资呢?
So how do you finance that?
你懂的。
You know?
最不会稀释股权的方式是什么?
And what's the most nondilutive way?
他们说回报周期在一年以内。
They said their payback is a year or less.
我敢肯定这跟现货价格挂钩。
I'm sure that's tied to the spot price.
所以你只需要融资一年。
So you only have to finance it for a year.
问题是,你觉得英伟达会给他们提供融资吗?
And the question, do you think NVIDIA gives them that financing?
或者这件事会怎么发展,我想问的就是这个。
Or how will this play out, I guess, is my question?
大卫,这个角度提得很好。
It's a great framing, David.
首先,建一千兆瓦至少要花500亿美元。
First, it's $50,000,000,000 per gigawatt to build minimum.
对吧?
Okay?
所以那就是3000亿美元。
So you're $300,000,000,000.
要融资的话,在我看来,要么去市场借钱,要么做稀释股权的增发,这两件事他们都不想干。要么就让英伟达来兜底,英伟达也表示过会更多参与,但问题在于英伟达的股东不希望他们无限兜底,因为大家担心的是,现货价格到某个时候可能会对你不利,一旦那样,回本周期就变了。
So in order to finance that, it seems to me you either have to go into the market and borrow the money or you have to do a dilutive equity raise, neither of which they wanna do, or you get NVIDIA to backstop it, which they've indicated that they're going to do more of, but the problem there is NVIDIA shareholders don't want them backstopping unlimited because the fear in the world is that that sprite spot price at some point, right, may go against you, and when it does, the payback period changes.
现在没人觉得回本周期会是一年,尽管现货价格暗示今天就能回本。
Now nobody thinks that the payback period is gonna be one year even though the spot price is suggesting that it is that today.
对吧?
Right?
就在几年前,人们还觉得你可能根本收不回成本。
Just a few years ago, people thought you would get paid or not few years ago.
几个月前,人们觉得四年能回本,所以基本上你投入50。
A few months ago, people thought you'd get payback over four years, so you basically spend 50.
然后每年赚10到15。
You then earn 10 to 15 per year.
四到五年回本,然后希望第六年能带来超过20%的回报。
You get payback over four to five years, and then hopefully, you get the sixth year, which really takes you up well above 20% in terms of your returns.
现在,短缺太严重了,前沿实验室的支付意愿非常高,因为他们都意识到自己正处于重大突破的边缘,所以愿意支付市场价的三倍、四倍、五倍来获得大规模计算能力。
Right now, the shortage is so acute, and the willingness to pay from the front Labs is so high because they all recognize they're on the verge of some massive breakthroughs that they're willing to pay three, four, five x market pricing in order to get at scale compute.
这就是Anthropic和SpaceX交易的情况。
And that's what happened with the Anthropic deal with SpaceX.
我觉得如果Anthropic能做到的话,他们今天会买更多。
I think Anthropic would buy a lot more of that today if they could.
OpenAI也一样。
Same with OpenAI.
你是说他们愿意多付高达五倍的价格。
You're saying that they would be willing to overpay by a factor of up to five x.
对,那就是大卫提到的每瓦50美元的价格。
Well, that's the 50 that, you know, that's the $50 per watt that David was referencing.
如果能获得规模化的算力,让他们在市场上有竞争优势,他们愿意付30到50美元。
They would be willing to pay this 30 to 50 if they could get at scale compute that would give them a competitive advantage over the other people in the market.
而且记住,没有多少人有足够的营收来负担这么大规模的算力。
And remember, there aren't a lot of people who have the off take revenue that can afford to buy compute at this scale.
对吧?
Right?
其实并不是中国的开源公司在买SpaceX的过剩算力,也不是他们在俄亥俄州建那个10吉瓦的工厂。
It wasn't the Chinese open source companies that were buying, you know, SpaceX's excess compute or building the 10 gigawatt, you you know, plant in in Ohio.
那就是OpenAI和Anthropic。
That's OpenAI and Anthropic.
所以绝大部分的承购承诺都来自Anthropic、OpenAI和NVIDIA。
So the vast majority of the offtake commitments are coming from Anthropic, OpenAI, and NVIDIA.
对吧?
Right?
当你听说那些超大规模云服务商在建设所有这些算力时,他们其实是在为刚才提到的那些公司建设的。
When you hear about the hyperscalers building all of this, you know, this compute out, they're building it out to sell to the people that we, you know, that we just mentioned.
所以,David,总的来说,如果他明年建成六吉瓦,而且顺便说一句,可能只有Elon能在那个时间框架内真正完成这么多。
So, David, net net, if he builds six gigawatts next year and by the way, probably only Elon, you know, can actually stand up that much in that time frame.
就像Jensen在播客里对我说的,他说,没人能接近。
Like Jensen said to me on the pod, he's like, nobody comes close.
微软也差得远。
Microsoft doesn't come close.
你知道,谷歌在那么短的时间内也做不到。
You know, Google doesn't come close in terms of standing it up in that time frame.
我觉得他在搞定所有零部件方面会遇到挑战。
I think that he's gonna have a challenge, you know, getting all of the componentry.
对吧?
Right?
我知道他能把这些东西搭建起来,但他能拿到足够的内存吗?
I know he can stand it up, but can he get the memory?
他还能搞到芯片吗?
Can he get the chips?
他能在期限内搞定土地和电力配套吗?
Can he get the land powered shell all in time?
我觉得需求是有的。
I think the off take is there.
对吧?
Right?
不过为了有个概念,今年Anthropic和OpenAI加起来的初始算力规模大概只有五吉瓦。
But to put it in perspective, this year, Anthropic and OpenAI combined, their starting total compute was like five gigawatts.
所以他说的是逐步增加,比他们两家公司加起来的总量还要多。
So he's talking about incrementally adding more than they had as combined companies.
对吧?
Right?
但这对Anthropic来说不算太大的增长,因为它每年增长10倍,而OpenAI可能也就4倍,或者现在更高?
But that's not that much of an increase when Anthropic is growing 10 x year over year and OpenAI is maybe at, what, four x or maybe higher now?
所以,世界上确实存在这种需求。
So you The have demand exists in the world.
今天世界上确实存在这种需求。
The demand exists in the world today.
我觉得未来
I think it will exist in the
未来十二到二十四个月里,这种需求还会存在,但市场上有很多担忧的声音。
world for, well, you you know, the next twelve to twenty four months, but there is a wall of worry in the market.
我们七月份看到回调的原因,是因为Kimi让市场恐慌了,大家开始想,天哪。
The reason we saw the pullback in July is Kimi scared people into thinking, oh my gosh.
他们会压低前沿实验室的收入。
They're gonna undercut the Frontier's revenues.
如果他们压低前沿实验室的收入,那谁来为这些算力买单呢?
And if they undercut the Frontier Labs revenues, who the hell is gonna pay for all this compute?
这就是为什么你看到全球核心半导体股和与AI相关的半导体股票下跌了40%。
That's why you saw a 40% trade down in the core weaves of the world and, you know, the the all of the the semiconductor stocks and semiconductor related AI stocks.
你看,现在大家都在讨论这下一个10吉瓦的算力要花5000亿美元,然后你问,这钱从哪来?
Ways, the fact that there's a discussion going on that this next 10 gigawatts is gonna cost, you know, Sacks $500,000,000,000, and you ask the question, where does that come from?
是二次发行吗?
A secondary offering?
英伟达会把它记在自己的账上吗?
Does NVIDIA put it on their books?
他们会像有些人那样,在表外设立特殊目的公司吗?
Do they create SPVs off their books like some people are doing?
你看,我们都在讨论这件事,大家都清楚,市场也已经了解了,这意味着如果事情没有发生或者进展放缓,我认为人们能够实时调整,我怀疑这种速度还能再维持两年左右。
You know, the fact that we're having this conversation, everybody's aware of it, the market has been educated on it means I think people will be able to change in real time if it doesn't come to pass or if it slows down, which I suspect this cannot keep up at this pace, you know, more than another two years or so.
不过,就像我们的好朋友比尔·格利经常提醒我们的那样,他说,我真不敢相信我们居然都这么淡定地接受了这种程度的卖方融资。
Although, as our good friend Bill Gurley likes to remind us, he's like, I can't believe that we're all just taking in stride this level of seller financing.
对吧?
Right?
他会称之为循环收入。
He would call it circular revenues.
对吧?
Right?
但市场已经习惯了这种情况。
But the market has gotten comfortable with this.
而且记住,就像我们在七月份看到的,如果出现需求恐慌,整个板块都会下跌。
And remember, like we saw in July, if there is a scare about demand, the whole sector trades down.
是的。
Yeah.
所有东西都会一起跌,你知道,因为这就是你往系统里注入的杠杆。
Everything will trade down, you know, together because that's just the leverage that you're pumping into the system.
你实际上是在为那些在收入到位之前就投入建设的人提供兜底保障。
You're effectively backstopping people's ability to build ahead of their revenue.
所以一旦需求出现下滑,市场反应会非常剧烈。
So it becomes much more violent if you ever see demand slippage.
说句老生常谈的话,我目前看不出未来十二到十八个月内会有这种情况,但你也知道,总会有一些意想不到的突发状况,这肯定会让人产生恐惧心理。
You know, famous last words, I don't see it today over the course of the next twelve to eighteen months, but, you know, you have these unknown unknown moments that certainly causes people to be fearful.
信用利差正在扩大,你知道的,这些交易的利差持续保持高位。
Credit spreads are blowing, you know, have continued to to stay wide on these deals.
所以市场上对他们存在担忧。
So there is fear in the market about them.
好了,各位。
Alright, everybody.
第五届。
The fifth annual.
既然到了九月,大家就知道该参加 All-In 峰会了。
If it's September, you know it's time for the All-In Summit.
第五届峰会就要来了。
The fifth annual is happening.
是的。
Yes.
没错。
That's right.
大卫·弗里德伯格一直在忙活,我们有一份全明星嘉宾名单。
David Friedberg's been at work, and we have an all star all star list of people joining us.
黄仁勋,英伟达的创始人兼CEO。
Jensen Huang, founder and CEO of NVIDIA.
如果你关心AI的未来,这场对话你绝对不能错过。
If you care about where AI is headed, you won't wanna miss this conversation.
最棒的,神谕者。
The best, the Oracle.
萨提亚·纳德拉,微软CEO,也是我们播客的粉丝,这是他第二次来。
Satya Nadella, CEO of Microsoft, fan of the pod, will be coming on for the second time.
来自NASA的杰瑞德·艾萨克曼。
Jared Isaacman from NASA.
独一无二的布拉德·格斯特纳和比尔·格利,BG2组合回归了。
The one, the only, Brad Gerstner and Bill Gurley, BG two coming back.
SpaceX的格温·肖特维尔。
SpaceX's Gwen Shotwell.
我的好哥们,杰克·保罗。
My guy, Jake Paul.
尼克·雪莉,还有很多厉害的人要来。
Nick Shirley, Lot of incredible people coming.
马丁·谢尔可能也会来。
Martin Schirle maybe is even coming.
那肯定会很有趣。
He's that's gonna be fun.
今天就去allinsummit.com申请吧。
Go to the allinsummit.com to apply today.
Allin.com 或者 allinsummit.com。
Allin.com or the allinsummit.com.
这两个网站都能带你到那里。
Any of those will get you there.
我们又要包下环球影城了。
And we're taking over Universal Studios again.
我们会有一个专属的游乐场。
We'll have our own private playground.
戴夫·弗里德伯格,峰会上干得漂亮。
Dave Friedberg, great job on the Summit.
还有赌场之夜。
Casino night too.
我听说那会是一个盛大的赌场之夜。
I heard it's gonna be a big casino night.
史上最大的一次。
Biggest yet.
还有音乐会,表演嘉宾还没公布,但一定会非常精彩。
And the concert to be announced, who will be performing at the concert, but it is gonna be incredible.
所以我就说峰会的一个特点吧,我们有来自超过60个国家的人来参加。
So I'll just say one of the things about the summit, we've had people come to the summit from over 60 countries.
见到这些人真的很棒,有企业家、投资者,还有那些对我们讨论的话题特别感兴趣的人。
It's really incredible to meet all these people, entrepreneurs, investors, people that are just really interested in the topics that we talk about.
我们努力去举办世界上最重要的对话,但这真的是一种很棒的社区体验。
We try and have the world's most important conversations, but it's really this amazing community experience.
这就是为什么大家会再次回来。
That's what brings folks back.
所以我们每年都努力投入更多,让它成为一次很棒的体验,而不只是舞台上的精彩内容,我觉得很多其他节目就是那样。
So we try and invest more and more every year in making it an amazing experience, not just cool content on a stage, which I think is what a lot of these other shows really deliver.
但关键是,你怎么才能真正来体验几天呢?
But it's like, how do you actually come and have a have an experience for a couple days?
一定会很棒的。
It's gonna be awesome.
所以它
So It
确实就是我们重点关注的这三件事。
really is those three things that we focus on.
第一,你会学到一些东西。
One, you're gonna learn something.
对吧?
Right?
台上都是很厉害的人。
You got these great people on stage.
你会从他们身上学到东西。
You're gonna learn something from them.
你会认识新朋友。
You're gonna meet new people.
你会拓展人脉,然后还会有一段很棒的体验。
You're gonna network, and then you're gonna have these great experiences.
这就是三位一体,各位。
It's the trifecta folks.
你兴奋吗,布拉德?
You're excited, Brad?
你兴奋要
You excited to
回来了吗?
be back?
日期是什么?
What what are the dates?
再说一遍日期是什么?
What are the dates again?
看看
Look
你的日历。
at your calendar.
你说吧。
You're speaking.
九月十三号到十五号,在洛杉矶。
September thirteenth through fifteenth in LA.
这个日期对峰会来说再好不过了。
This couldn't be better dates for the summit.
我是说,我们离中期选举不到六十天了。
I mean, we're we're gonna be within sixty days of an election, midterm election.
我们离IPO可能不到三十天,你知道的,有可能。
We're gonna be within thirty days of an IPO, you know, potentially of.
我是说,这肯定会很激烈。
I mean, like, it's it's gonna be heated.
是SaaS末日,不是Sack末日。
The sass pocalypse, not the Sackspocalypse.
这个SaaS末日,我想,正在慢慢消退。
This is the SaaS pocalypse is, I guess, winding its way out.
消化不良的情况可能正在好转。
The indigestion might be clearing.
Airtable 刚刚被收购,成交价低于其融资额。
Airtable just got acquired for less than it raised.
这是一家盈利的 SaaS 公司,产品很棒,年收入达到 4.8 亿到 5 亿美元,年增长率 20%,如果是上市公司也算体面了,而且账上几乎有近 10 亿美元的现金,结果还是被卖掉了。
It's a profitable SaaS company, a great product, $480,000,000, $500,000,000 in annual revenue, growing 20% a year, respectable if it was a public company, with almost $1,000,000,000 in cash has been sold.
它最终以 12.8 亿美元的价格成交,这大概只有它 2021 年巅峰时期 117 亿美元估值的 10%。
It's been sold for 1,280,000,000, about 10% of its peak valuation, which was 11,700,000,000 in 2021.
他们当时手头确实有不少现金。
Now they did have a bunch of cash.
所以如果把现金也算进去,总交易额是22.5亿美元。
So if you include the cash position, sale was 2,250,000,000.
这家公司被一家叫Bending Spoons的公司收购了。
They were acquired by a firm called Bending Spoons.
这是一家意大利公司,总部在米兰。
This is an Italian company, Milan based company.
他们收购那些有挑战但有意思的公司,比如AOL的遗留业务、Evernote、Eventbrite、Vimeo、meetup.com,而且他们上个月刚刚上市。
They buy challenged, but, you know, interesting businesses, AOL's legacy business, Evernote, Eventbrite, Vimeo, meetup.com, and they just went public last month.
也就是说,Bending Spoons的股票上个月上市了。
Shares that is Bending Spoons went public last month.
受Airtable消息影响,股价上涨了15%。
Shares jumped 15% on the Airtable news.
Sacks,我们看这件事,这家公司做了很多正确的事情,手里有大量现金储备,但有传言说创始人可能有点疲惫了。
Sacks, when we look at this, this was a company that had done a lot of things right, had a massive amount of cash in their war chest, but rumors were maybe the founders were a little exhausted.
也许有些在高位买入的投资者也感到疲惫了。
Maybe some of the investors were exhausted who bought in at a high level.
从这笔交易和Bending Spoons身上,我们能学到什么?
What can we take away from this transaction in Bending Spoons?
他们现在是不是成了最后的买家?
Are they the buyer of last resort now?
嗯,我觉得他们为自己创造了一个很好的业务,因为我认为这对他们来说最终会是一笔相当赚钱的收购。
Well, I think they're creating a great business for themselves because I think this will end up being a fairly profitable acquisition for them.
我再补充一点,Airtable在收购前把它的AI代理业务,也就是HyperAgent,拆分成了一个独立的公司。
Let me just add a piece to this, which is Airtable spun out its AI agent business, which is known as HyperAgent, into a separate independent company prior to this acquisition.
所以我觉得这里的情况是,公司的创始人和人才说,看,我们不想再费力去维护这个老产品了。
So I think what's going on here is that the founders and talent of the company, they said, look, we don't want to have to make this legacy product work.
这基本上就是私募股权的玩法。
That's basically a private equity play.
我马上解释这是什么意思。
I'll explain what that means in a second.
我们想专注于新事物,也就是AI公司。
We wanna focus on the new thing, the AI company.
那里才是未来价值创造的大头,或者说潜力所在。
That's where the big value creation is gonna be in the future or the potential for it.
所以基本上,人才会专注于风险投资这块,然后他们把私募股权这块卖给Bending Spoons。
So essentially, the talent is gonna focus on the venture play, and then they're selling the private equity play to Bending Spoons.
那为什么我认为这对Bending Spoons来说可能是一笔好收购呢?
Now why do I think this could be a good acquisition for Bending Spoons?
我觉得关于这件事的评论里有一个非常有意思的数据点,那就是Airtable的销售团队只有30%的人完成了销售指标。
I think there was a really interesting data point that I saw in the commentary on this, which is only 30% of Airtable sales team was making quota.
他们的销售达成率只有30%。
They had a 30% sales attainment number.
这让我对这个业务有了很多了解。
And that told me a lot about this business.
对吧?
Okay?
它告诉我的,是我在这里从字里行间读出来的。
What it told me is and I'm reading between the lines here.
但这家公司曾经有一个非常成功的PLG模式。
But this was a company that had a successful PLG motion.
也就是说,靠自然增长、产品驱动增长,他们每年大概增长20%。
In other words, organic growth, product led growth, and they were growing about 20% a year.
但对董事会来说,这还不够好。
But that was not good enough for its board.
你知道,这些投资者中有些人是在110亿美元峰值估值时投资的。
You know, these are investors, some of whom invested in an $11,000,000,000 peak valuation.
所以他们期望的是风险投资式的回报。
So they're looking for a venture type outcome.
那接下来会发生什么?
So what happens?
董事会向创始人施压,要求他们做一些对他们来说其实很不自然的事情,他们说:你们应该在这里加上传统的销售驱动模式,以加快增长。
The board pressures the founders to do something that frankly is unnatural for them, which is they say, look, you should bolt on a traditional sales led motion here to get the growth up faster.
这能行吗?
Does that work?
不行。
No.
他们可能从中获得一点增长,但销售目标完成率只有30%。
They probably get a little bit of growth out of it, but they only get 30% attainment.
所以他们有数百名销售代表在这里费力推一根绳子,但并没有让增长更快。
So they've got hundreds and hundreds of sales reps here trying to push on a string, and it's not making it grow faster.
那么现在收购方的机会在哪里呢?
So now what's the opportunity for the acquirer here?
Bending Spoons 可以像马斯克在推特那样,削减 85% 到 90% 的成本结构。
Bending spoons can go in here and do what Elon did at Twitter, eliminate 85, 90 of the cost structure.
不要采用这种销售驱动的模式。
Don't do this sales led motion.
回归产品驱动的增长本源。
Just go back to your product led growth roots.
你很可能还能保持那 20% 的增长,而且公司会非常盈利。
You'll probably keep most of that 20% growth, and it'll be a very profitable company.
你就能做到
You'll be able to
可能达到百分之多少的利润率。
percent profitable probably.
对吧?
Right?
很有可能。
Probably.
我的意思是,
I mean
净利润增加4亿,两三年就能收回收购成本。
400,000,000 to the bottom line pays for the acquisition in a couple years.
现在大家预测他们的EBITDA利润率只有30%。
People are saying they're only gonna generate 30% EBITDA margin.
我觉得,就像你说的,可能达到90%。
I think, like you're saying, it could be 90%.
我认为没必要保留大部分业务,也没必要保留跟这业务相关的大部分成本结构。
I don't think you need to keep most of this business or most of the cost structure associated with this business.
Airtable这家公司是有粉丝基础的。
Airtable is a company that has its fans.
我觉得他们大概率会继续用下去。
I think they will probably stick with it.
而且,你知道,你会产生,我也不确定。
And, you know, you'll you'll be generating I don't know.
你每年可能产生3亿或4亿美元的EBITDA,同时还能保持10%到20%的增长。
You could probably generate 300,000,000 of EBITDA a year or 400,000,000, while growing, you know, 10 to 20%.
所以这就像是在弯勺子一样,是个超能力。
So that's a play for bending spoons.
但你看,这里的风险投资者,Sacks。
But look venture investors here, Sacks.
他们,是的。
They're Yeah.
他们很高兴能拿回钱,然后继续做下一件事。
Happy to get their money back and move on to the next thing.
对他们来说,这有点像在赌桌上被推了一把,而不是他们必须翻10倍才能追平,然后还得再翻10倍才能让他们的LP满意。
It's a bit of a push for them, you know, in terms of at the blackjack table rather than they've gotta go 10 x just to catch up, and then they would have to go 10 x again to make their LPs happy.
这不可能发生。
It's not gonna happen.
我觉得问题是,Bending Spoons能不能把这家不赚钱的公司,每年做到4亿美元的EBITDA,然后三年内就收回收购成本。
I think the question is if Bending Spoons can basically take this business that's not making money and probably generate 400,000,000 a year of EBITDA and pay for the acquisition in just three years
太厉害了。
Amazing.
那为什么公司自己做不到呢?
Why isn't that something that the company could do on its own?
我觉得这就是结构性问题,因为无论是董事会里的风投还是创始人,都很难切换到私募股权那种模式。
And I think that's the structural problem is I think it's very hard for both VCs who are on the board and the founders to shift into private equity mode.
为什么?
Why?
因为他们得拆掉自己一手建起来的东西。
Because they're gonna have to demolition what they've built.
对吧?
Right?
他们对团队有这么多感情。
They've got all this loyalty to the team.
他们不想考虑如何削减90%的成本结构。
They don't wanna think about how do I eliminate 90% of the cost structure.
这不是他们做的事。
It's just not what they do.
我的意思是,创始人想做的和董事会成员追求的结果是风险投资支持的结果。
I mean, what what founders wanna do and and the outcome that the board members are going for is a venture backed outcome.
我觉得他们本来可以做到这一点。
And I think they could have done this.
他们可以像Bending Spoons那样做。
They could do what Bending Spoons does.
他们不是为此而生的,Sacks。
They're not built for it, Sacks.
他们不是为此而生的。
They're not built for it.
此外,资本表的结构完全不对,因为他们被巨大的清算优先权压着。
Moreover, structure of the cap table is all wrong because they're sitting behind this giant liquidation preference.
所有这些投资者,他们以110亿美元的估值投资,还有更高的,都得先拿回他们的钱。
All these investors who have to get paid back who invested at this $11,000,000,000 valuation and and, you know, all the way up.
激励机制已经坏了,布拉德。
The the incentives are broken, Brad.
对。
Right.
而且你自己,在你们公司Altimeter,那段时间你也很活跃。
And you, you yourself, at your firm altimeter, you were pretty frisky in this period.
你下了很多赌注。
You made a lot of bets.
所以我不知道Airtable是不是其中之一,但你确实在SaaS领域下了些注。
So I don't know if Airtable was one of them, but you made some SaaS bets there.
有些估值很高。
Some of them were at high valuations.
你现在回头看那段时间,有什么感想?
How are you looking back at that time period?
你以后会吸取哪些教训?
Any lessons that you take going forward?
收入倍数可能会迅速压缩。
Multiples of revenue can compress very quickly.
对吧?
Right?
当公司增长率超过50%时,这个办法很管用,但记住,它只是一个粗略的估算方法。
It works great when a company is growing greater than 50%, but remember, it's just a heuristic.
它只是硅谷几乎专门使用的一个粗略估计。
It's just a very rough estimate used almost exclusively in Silicon Valley.
你知道吗?
You know?
所以人们会说,天哪。
So people are saying, oh my god.
这东西以两倍收入的价格卖掉了。
This thing sold for two times revenue.
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