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这就是为什么从长期来看我是比特币的坚定支持者。
And this is where I'm a bitcoin maxi in the very long term.
不是。
No.
不是。
No.
不是。
No.
如果你还想继续听,让我换个说法。
I believe if you wanna continue let's let me rephrase it.
我想要一种在未来三十年里价值不断增长的资产。
I want an asset that will be growing in value for the next thirty years.
在我脑子里,能确定未来三十年,不是五年,不是三年,只有比特币。
The only one I can say in my brain with certainty for the next thirty years, not the next five, not the next three, that I believe is bitcoin.
就这样。
That's it.
好的,各位。
Alright, guys.
今天,我们和Jordi Visser进行了一场非常精彩的对话。
Today, we have an excellent conversation with Jordi Visser.
在这次对话中,我们聊了AI领域正在发生的事情。
In this one, we go through what's going on in AI.
为什么利率上调后,比特币、股票这些东西没有崩盘?
Why all of a sudden when interest rates were raised, why did bitcoin, stocks, all this stuff not crash?
美国经济到底怎么了?
What is going on in The US economy?
为什么Jordi认为比特币会继续上涨?
Why does Jordi think that bitcoin's going higher?
其他加密货币也会上涨吗?
Other cryptos are going higher?
他如何看待AI行业涌现出的各种智能体集群和相关问题?
How does he think about all of the agent swarms and issues that are coming out of the AI industry?
然后Jordi就直接告诉我们,未来几年价值会集中在哪些地方,他对什么感到兴奋,对什么不兴奋,以及这会如何影响你的投资组合。
And then Jordi just gives it to us straight exactly where he thinks value is going to accrue over the next couple of years, what he's excited about, what he's not excited about, and how it could impact your portfolio.
这一期非常精彩。
This one is excellent.
这是我和Jordi Visser的最新对话。
Here's my latest conversation with Jordi Visser.
好的,Jordi。
Alright, Jordi.
比特币一直保持得很稳定。
Bitcoin has held pretty steady.
实际上,自从美联储决定加息以来,比特币还稍微涨了一点。
Actually, it's up a little bit since the Fed decided to raise interest rates.
股市基本持平。
Stock market as pretty much flat.
AI指数倒是上涨了。
AI indexes, they're up.
我觉得大家有点意外或者不安,心想如果美联储加息,这些资产不是都应该下跌吗?
I think that people are a little offside or shaken that if the Fed increases interest rates, aren't these assets all supposed to go down?
这到底是怎么回事?
What's going on here?
我觉得你可以把时间再往前推一点。
I think you can take it back further.
比如说6月30号。
Let's say June 30.
从6月30号以来发生了什么?
What's happened since June 30?
那是第二季度结束的时候。
That was the end of q two.
股市基本没变,纳斯达克和标普都是这样。
Stocks are unchanged, both Nasdaq and S and P.
油价涨了不少。
Oil's a lot higher.
不知道你有没有听说,油价要把世界搞垮了。
I don't know if you've heard, but oil's gonna take down the world.
长期利率涨了很多。
Tenure rates, they're up a lot.
不知道你有没有听到这个。
I don't know if you heard this.
涨了很多。
They're up a lot.
整个系统要崩了。
Whole system's gonna crack.
七月份就出现了这种警觉。
Situational awareness happened in July.
AI泡沫破裂了。
AI bubbles unwound.
一切都要崩盘。
Everything's gonna crash.
我们现在就像1998年。
We're in a 1998.
就像2009年。
We're in a 2009.
随你怎么说。
Whatever you want.
我们熬过七月,然后会发生什么?
We get out of July, and then what happens?
嗯,贝森会去干预日元,然后他会改变回购政策。
Well, Besson's gonna go intervene in the yen, and then he's gonna change the buybacks.
然后他还会做这个。
And then he's gonna do this.
这会让利率下降。
It's gonna make rates go down.
利率反而会上升。
Rates go higher.
战争变得更糟了。
The war gets worse.
油价继续上涨。
Oil goes higher.
美联储不会加息。
Fed's not gonna raise rates.
美联储加息了。
The Fed raises rates.
《清晰法案》会通过的。
Clarity act is gonna go through.
《清晰法案》没通过。
Clarity act doesn't go through.
不仅仅是比特币、以太坊,所有东西都涨到这儿了。
Not only is bitcoin, ethereum, everything's sitting up here.
以太坊本季度至今涨幅超过50%。
Ethereum's up over 50% quarter to date.
所以,结合我刚才说的所有新闻,攀越忧虑之墙是个大事。
So with all the news I just said, climbing a wall of worry is a big deal.
如果你问我怎么回事,对我来说很简单。
If you ask me what's going on, it's very simple to me.
你得回到情境意识上来,每个在听的人,他讨厌我这么做。
You gotta go back to situational awareness, and everyone who's listening, he hates when I do this.
暂停一下。
Pause.
暂停一下。
Pause for a second.
拿出你的智能手机。
Go to your smartphone.
然后给我看利奥波德情境意识论文第71页的图,那篇165页的论文。
And just so give me the image on page 71 of Leopold's situational awareness, 165 page paper.
我想让你看看那个确切的位置,那就是
And I want you to look at that exact point, and that's where
我们直接在这里调出来。
We'll just pull it up here
这样你就不用暂停了。
so you don't have to pause.
就在那个点上,代理开始接管。
That's where that's where agents take over.
AI代理开始接管。
AI agents take over.
我觉得加密货币发生的事情,说白了,就是热情来自于——哦,货币贬值要来了。
And I think what has happened to crypto, plain and simple, is the enthusiasm came from, oh, debasement's coming.
我会对所有听众一直这么说。
And I will keep saying it for all of you people listening.
你希望利率上升,加密货币也上升,因为真正的技术、真正的创新意味着它不受那个影响。
You want rates to go higher and crypto to go higher because a true technology, a true innovation means it is not sensitive to that.
这是一个大错误,我跟整个加密货币社区有强烈分歧,他们认为比特币只是流动性的产物。
This has been a big mistake that I have strong disagreement with the entire crypto community that Bitcoin is just liquidity.
不是。
No.
比特币之所以跟着流动性走,是因为还没有出现被实际使用的创新。
Bitcoin has been liquidity because there hasn't been innovation that has been used.
当创新开始被使用,达到像iPhone那样的拐点时,增长和创新就不再依赖经济周期和流动性了。
When you get to the inflection point where innovation starts to be used, like with the iPhone, then that growth and innovation happens without the business cycle, without liquidity.
所以,如果比特币真的想成为大家所期望的那个样子——我现在也相信它已经是了——那就需要真正的加密货币用户参与进来。
So if you truly to be what everyone believes it's gonna be, which I believe it is now, you actually need the true users of crypto to come into play.
现在,如果利率上升——就像这周那样——而加密货币还在涨,人们就会说,好吧。
Now if rates are going up, which they did just this week, and crypto is still going up, people will say, okay.
如果比特币以前对流动性敏感,那以后还会敏感吗?
If Bitcoin was sensitive to liquidity before, will it be sensitive going forward?
我问这个是因为我不知道你有没有看过那张图表。
And I ask that because I don't know if you've seen the chart.
M2货币供应量在上升,而比特币以前跟得很紧。
The m two money supply is going up, and bitcoin used to track very nicely.
而且有时候它们会背离,你知道,就会出现那种鳄鱼嘴的形状。
And there have been times where they diverged, and you get kind of the alligator, you know, mouth.
但一旦闭合,比特币就会剧烈波动,以追赶M2。
But then when it closes, there's a violent move in bitcoin to catch up to m 2.
过去大概十八个月左右,我们一直处于这种背离状态。
We have been living through for the last, I don't know, eighteen months or so, that divergence again.
所以M2一直在增长。
And so m 2 has been growing.
比特币却一直在下跌。
Bitcoin has been down.
比特币社区里有一种信念,认为这个鳄鱼嘴迟早会闭合。
And there's a belief in the Bitcoin community that those jaws are gonna close.
比特币会猛烈上涨。
Bitcoin's gonna violently move up.
我听到你的意思是,过去可能确实如此,但未来推动比特币价格的因素可能更多依赖于AI代理和其他创新,而不是宏观世界的动向。
What I hear you saying is maybe that was true in the past, but the drivers of bitcoin's price going forward may be more reliant on AI agents and other innovation more so than what's going on in the macro world.
这样总结公平吗?
Is that a fair summarization?
所以我
So I'm
花了很多时间。
spending a lot of time.
所以我之所以想和你做这个,是因为这个时间点。
So one of the reasons that I wanted to do this with you is this moment in time.
对我来说,四年周期反映的是流动性周期。
The four year cycle to me is is reflective of the liquidity cycle.
我刚才听一位我尊敬的人谈论流动性周期。
I was just listening to someone who I respect talk about the liquidity cycle.
流动性——能不停谈流动性周期的,大概只有那一个人了。
Liquidity There could only be one guy who talks about the liquidity cycle nonstop.
不,不是的。
Well, no.
他们可能想到的是同一个人。
They were probably thinking of the same person.
不是他。
It wasn't him.
哦,好的。
Oh, okay.
但那个人跟他有直接关系。
But it was someone directly related to him.
我要说的是,实际上,那个人和我谈过一次,我说,现在再也没有经济衰退这回事了。
Here here's the thing I'll say is, in fact, that person, he and I spoke one time, and I said, there's no such thing as recessions anymore.
我同意
I agree with
这个观点。
that.
好的。
Okay.
所以如果不再有经济衰退,流动性周期就不一样了。
So if you don't have recessions anymore, the liquidity cycle's not the same.
但这并不意味着政府不会试图阻止股市崩盘,也不会试图阻止他们担心的可能出现的经济衰退。
That doesn't mean that the government doesn't try to prevent stock market crashes and prevent possible recessions that they're worried about.
所以当你观察流动性周期时,你得记住,M2下降的原因是人们开始担心事情,开始囤积现金,把钱放到不产生经济效益的地方。
So when you look at the liquidity cycle, you have to remember what makes m two go down is when humans start getting worried about things and they start hoarding cash and they start putting it into noneconomic places.
他们要么在还债,要么在做别的事情,但这些钱并没有真正推动GDP增长。
They're paying off debt or they're doing something, but they're not actually generating GDP with it.
所以一直以来,流动性和M2之间都有联系,然后你才能得到GDP。
So there has been a link between liquidity forever and m two, and then you get GDP.
然后你知道GDP之后会发生什么吗?
And then you know what happens after you get GDP?
流动性会转化为更多的就业机会。
Liquidity turns into more jobs.
我们现在不再这么做了。
We're not doing that anymore.
它先变成利润,然后再流到那边去。
It turns into profits first, and then it goes into there.
所以标普500的盈利增长了30%,但过去二十个月里,除医疗保健外的招聘是负增长。
So we have the S and P 500 growing at 30% earnings, and the hiring ex health care is negative over the last twenty months.
想想看。
Think about that.
过去二十个月,除了医疗保健,我们几乎没有创造任何就业机会。
We've had no job creation over the last twenty months except for health care.
真是骗人的。
Fraud.
继续说。
Go ahead.
所以我们没有创造就业。
So we have no job creation.
那怎么打破这个局面呢?
How are we breaking it?
所以现在资本和劳动的比例,对劳动来说已经处于历史最差水平了。
So the the percentage of capital versus labor is now at at the worst in history for labor.
所以我们打破了流动性机制。
So we've broken the liquidity mechanism.
那股市怎么还涨得这么快?
Now how is the stock market growing so fast?
因为流动性会带动名义GDP。
Because liquidity leads to nominal GDP.
名义GDP就是企业的营收。
Nominal GDP is top line revenue.
钱一流动起来,人们就会被雇佣。
Money transaction, people get hired.
他们就会花更多的钱。
They spend more money.
这机制到底是怎么还能运转的?
How in God's name do we actually have this mechanism still working?
这就是为什么流动性周期已经不再关乎比特币了。
This is why liquidity cycle is not about Bitcoin anymore.
2009年的流动性周期始于生产效率终于开始提升。
Liquidity cycle in 2009 began with the efficiency of productivity finally entering up.
互联网诞生于1994年,当时网景公司上市了。
So the Internet was born in 1994 in terms of when Netscape went public.
然后我们经历了互联网泡沫。
Then we had the .com bubble.
那段时间,也就是互联网泡沫前后,就像是加密货币的早期版本,我们在为商业搭建基础设施。
That was the version of crypto, that period into the .com bubble and after where we were building the rails for commerce.
直到智能手机出现,这一切才真正开始。
It didn't come until the smartphone came.
智能手机出现后,生产效率爆发式增长,这体现在利润率上。
And when the smartphone came, we had an explosion of productivity that showed up in profit margins.
虽然这没有体现在GDP上,但这一点我之前已经谈过了。
It did not show up in GDP, but I've talked about that.
对于软件和无形资产来说,这个指数真的很糟糕。
It's a horrible index for what we're dealing with with software and intangibles.
但现在发生的是,我们已经打破了流动性机制。
But what is happening now is we've broken the liquidity mechanism.
所以我要再对大家说一遍。
So I will say it again to everyone.
系统里的流动性会更多,但不是通过大家常说的那些流动性措施。
We will be having more liquidity in the system, but not through the liquidity measures that people talk about.
代币化释放了沉睡的资产,价值九百万亿美元的资产,其中三分之二只是闲置着。
Tokenization unleashes dormant assets, $900,000,000,000,000 of assets of which two thirds just sit and do nothing.
它们会被用作抵押品。
They will be used as collateral.
它们会用于日常交易。
They will be in daily transactions.
你不需要去银行借钱了。
You won't have to go to get a a a borrow money from your bank.
它会变成可编程的,诸如此类。
It'll be programmable and stuff.
我们发布一些东西,等一段时间,等你的应收账款到账,然后它就走了。
We post something for a period of time waiting for your receivables to come in, and then it goes.
整个系统将基于货币流通速度。
The whole system will be based on the velocity of money.
所以记住,流动性,M2,是关于政府向系统注入资金。
So remember, liquidity, m two, is about the government putting money into the system.
我们有足够的钱来运行这个系统。
We have plenty of money to run the system.
没有体现在利润率里,而是体现在营收上。
Not showing up in profit margins is showing in top line revenue.
你现在听到了吗?
Do you hear that right now?
从谁那里?
From whom?
我吗?
Me?
是的。
Yes.
没有。
No.
没有。
No.
没有。
No.
没有。
No.
你听到了吗?
Do you hear?
如果你竖起耳朵听?
If you open your ear?
大家都在嘲笑美联储,说你们以为能搞垮股市吗?
It's everyone laughing at the Fed and saying, you thought you were gonna tank the stock market?
你们以为能拖慢我们的脚步吗?
You thought you were gonna slow us down?
即使利率上升,他们还是拼命往里投钱。
They're just pouring money in even though rates went up.
我觉得部分原因是,确实有些股票对利率不那么敏感,但更关键的是,现在出现了一场彻底的心理革命。你反过来想想,要让那些在X或YouTube上谈论股票、坐在这些公司里的人真的停止买入,得发生什么事才行?
And I think part of this is, yes, there is less rate sensitivity in some of these names, but I also think that there is a full blown psychological revolution that has occurred where, run the counter example or analysis, what would have to happen for all of the people who are talking about stocks on X or on YouTube, sit inside these firms, to actually stop buying.
我想不出有什么事情能让他们停止买入。
I don't think I could think of a single thing that could occur that could get them to stop buying.
因为可能最糟糕的事情已经发生了。
Because probably the single worst thing that could have happened happened.
2020年,他们把所有人关在家里,货币流通速度骤降,基本上尽最大努力冻结了世界。
In 2020, they locked everyone in their houses, they stopped the velocity of money, and they basically froze the world as best they could.
结果股市年底收盘时比年初还高。
And stocks ended the year higher than they started.
所以如果你想想这个,就像我们像《绿野仙踪》那样拉开了帷幕,然后每个人都觉得,等等。
So if you think of that, it just was like we pulled back the curtain like Wizard of Oz style, and everyone's like, wait a minute.
不管发生什么,只要你一直买股票,你就会赚钱。
No matter what happens, if you keep buying stocks, you're gonna make money.
感觉这几乎比其他任何东西都更能打破市场,这就是为什么也许利率,所有这些事情,比如创新,都很重要。
And it feels like that actually broke the market almost more than anything else, and that's why maybe interest rates, like all of this stuff, like the innovation thing is big.
但心理因素感觉占了很大一部分。好了。
But the psychology piece feels like it is a huge piece of it Alright.
嗯,
As
所以与其,你不同意吗?
So rather than, like Do you disagree?
不。
No.
不。
No.
不。
No.
我同意。
I agree.
实际上,我要把这个观点推向更极端的程度。
In fact, I'm gonna I'm gonna take it to a higher extreme.
哦。
Oh.
所以
So
在2020年,我们关闭了经济。
in 2020, we shut down the economy.
你是不是要说得比我还疯狂?
Are you about to out crazy me?
好吧,我要带你回顾一个时间线,假设我们回到2019年12月31日。
Well, I'm about to take you through a timeline of let's assume it's back at 12/31/2019.
好的。
Okay.
行。
K.
我们要把经济停摆一段时间。
We're gonna shut the economy for a period of time.
资产会大幅崩盘。
Assets are gonna collapse significantly.
几乎所有公司债的信用利差,包括投资级债券,都会飙到两位数。
Yields credit yields for almost all corporate credits IG are gonna go to double digits.
而且,没错,那一年结束时股市居然还涨了。
And, yes, we end we end that year with stocks higher somehow.
所有人都担心会死,真的会死,不是AI要杀光我们,而是真的眼睁睁看着人死去。
Everyone's worried about dying, truly dying, not the AI is gonna kill us all, but truly, we're watching people die.
我们看着医院被挤爆,可股市还在涨。
We're watching the hospitals be overrun and yet the stock market's up.
然后我们到了2022年。
Then we get to 2022.
利率从0%猛加到5%,前所未有,而且通胀达到两位数。
We go from 0% rates to five aggressively, like never before, and inflation is double digits.
那一年市场下跌,但很快第二年就反弹了,尽管2023年硅谷银行倒闭了。
The market that year is down, but very quickly the following year, despite the fact that in 2023, we also have Silicon Valley Bank goes out of business.
这是有史以来最大的银行,从健康到归零。
The largest bank that goes from they're healthy to zero ever.
我们看到资金开始流出银行体系。
And we start seeing money leave the banking system.
资金正从小银行流出。
It's leaving all small banks.
很多小银行关门了。
We're getting many small bank closures.
那一年结束时,市场反而上涨了。
We finished that year higher on the year.
然后我们迎来了新总统。
Then we get a new president.
我们进入2025年。
We go into 2025.
我们要回到平稳发展的轨道。
We're gonna go back to smooth hauling.
我们要对所有东西加征关税,大规模关税。
We're gonna put tariffs on everything, massive tariffs.
所有人都预测会再来一次衰退。
Everyone calls for another recession.
所以我们来看看那段时间。
So let's take that period there.
在所有这些事件中都没有出现衰退,尤其是2022年那次我们大幅加息,所有人都说这会是个问题。
There's no recession during all of those events, especially the twenty twenty two one where we raised aggressively, and everyone said this is gonna be a problem.
这,这肯定是衰退了。
This it it was a guaranteed recession.
美联储当时都在说卖掉你的股票。
The Fed was saying sell your stocks.
然后到了今年,我们封锁了霍尔木兹海峡。
Then you get to this year, we shut down the Strait Of Hormuz.
所以,斯姆特-霍利关税、霍尔木兹海峡封锁、银行挤兑、疫情,还有史上最激进的美联储加息。
So Smoot Hawley, Strait Of Hormuz, bank runs, a pandemic, and the most aggressive Fed rate hikes in history.
都没有引发经济衰退。
No recessions.
所以现在我们要担心美联储加息25个基点?
So now we're gonna worry about a 25 basis point move by the Fed.
这对蚂蚁来说都算小意思。
A raise for ants.
市场在他们行动之前就已经消化了这个预期。
That is discounted in the market ahead of them doing it.
天哪。
Oh my god.
他们加息了。
They raised rates.
这是一次鹰派的加息。
It was a hawkish Fed rate hike.
所以我觉得大家忽略了更大的故事。
So I think people are missing the bigger story.
更大的故事是我们正处于生产力繁荣期,这从利润率上就能看出来。
The bigger story is we are in a productivity boom showing through profit margins.
我们不再雇佣人类了。
We are not hiring human beings.
我们现在处于一个阶段,比如癌症疫苗即将问世。
We're in a point wherein go we have a cancer vaccine that comes out.
而且我本周末会展示,当我们说人类将要灭亡时,视频有一亿七千万次观看。
And as I'm gonna show this weekend, when we say humanity is going to die, a hundred and seventy million views.
Matt Schumer那篇关于所有工作的文章,还有Suttrini那篇关于所有工作都会消失的文章。
The Matt Schumer article about all jobs, the Suttrini article about no about all jobs being lost.
两千万、三千万、四千万。
Twenty, thirty, 40,000,000.
癌症疫苗,十亿。
Cancer vaccine, 10.
没人想听AI带来的好消息。
Nobody wants to hear about the good news that's coming from AI.
他们只想听坏消息。
They only wanna hear about the bad news.
所以,所有正在收听的朋友们,别去理会那些告诉你市场要崩盘的人,他们说什么AI会这样那样,或者债务要来了,诸如此类。
So for all of you listening, playing this stupid game of the people telling you that the market's gonna crash because AI is this or this is this or the debt is coming or all of this.
市场已经消化了他们说的所有情况,因为今年市盈率下降了,而盈利却上升了。
The market has discounted all of the scenarios they've said because the PE multiple has gone down this year while earnings have gone higher.
所以我只是觉得,人们一直高估了那些过去线性事件的影响,比如斯姆特-霍利关税、石油、利率,所有这些,他们总说这些会拖垮世界,但一次又一次,这些都没发生。
So I just think people have overestimating constantly the sensitivity that all of these linear things of the past, Smoot Hawley, oil, interest rates, all of this stuff are gonna take down the world, and they've done it repeatedly, and it hasn't happened.
现在真正发生的是,最不可思议的技术正在让我们的生活一天比一天好,解决了自爱因斯坦之前就存在的数学难题。
What is happening right now is the most unbelievable technology is making things better and better for us every day, solving math problems that have been around since before Einstein.
这种情况现在经常发生,而且只会越来越快。
This is happening regularly, and it's only gonna accelerate from here.
所以有两点。
So two things.
之所以没有经济衰退,不仅是因为对这些东西的敏感度降低了,还因为市场是被操控的。
There was no recession because not only, is there less sensitivity to this stuff, but also it's rigged.
如果你还记得,那段时间我们有两个季度的GDP负增长。
If you remember, we had two quarters of negative GDP growth during that period.
他们就说,哦,那不算真正的衰退,因为定义衰退与否的权力在我们手里。
They just said, oh, that's not really a recession because we have a monopoly on being able to call a recession versus not.
我这么说是因为,虽然情况被说得那么糟糕,但他们却不承认发生了什么,因为我觉得他们其实明白这一点。
Now, reason I say that is it was quote unquote so bad, yet they wouldn't acknowledge what was happening because I actually think that they understand this.
他们明白市场不能长期下跌。
They understand that the market cannot go down for prolonged periods of time.
而且我一直说,我不认为我们会经历那种长达十八个月的衰退。
And I continue to say, I don't think we're gonna get like an eighteen month recession.
我觉得我这辈子不会再看到那种情况了。
I don't think I'll see that again in my lifetime.
传统派的人会很生气,说你在说什么呢,等等。
And the traditionalist will get very upset and say, what are you talking about, etcetera.
其中一部分是创新和生产力驱动的。
Some of it is innovation and productivity driven.
另一部分就是他们手里有货币火箭筒,只要市场需要,他们就愿意发射。
Some of it is just they have a monetary bazooka that they are willing to fire at the market whenever it is needed.
第二点是我们在美国创造就业机会。
The second piece of this is we are creating jobs in America.
但我们创造的并不是人类的工作。
We're just not creating human jobs.
我觉得我们以前聊过这个,比如拿我们的上市公司来说。
And I think that we've talked about this in the past where at take our public company.
那里工作的真人不到15个。
There are less than 15 humans that work there.
我们可能有将近100个数字AI代理员工。
We may have close to a 100 digital AI agent employees.
我不知道确切的数字
I don't know what the exact number
是多少。
is.
但肯定是人类员工的好几倍。
But it is multiples of the humans.
以至于,就拿Grokbot里的一个系统来说,我自己可能就放了10到15个机器人。
To the point where, just on one system in Grokbot, I don't know, I probably have 10 or 15 bots just there myself.
所以你看这个情况,你会问自己,经济衡量标准是不是需要改变了?
And so you look at that, and you say to yourself, do the economic measurements need to change?
我们是不是得重新调整对美国经济健康状况的评估方式?
Do are we going to have to recalibrate how we think about the health of The US economy?
因为就像你说的,我们现在用的衡量指标已经过时了。
Because to your point, we're looking at outdated metrics to measure this.
如果你一直盯着这些指标去投资未来,你会很吃力的。
If you keep looking at those metrics trying to invest in the future, I you're gonna struggle.
我觉得这就是你的核心观点。
And I think that's, you know, your your major point here.
就是说,用这些指标去投资,你肯定会遇到困难。
It's just like you are going to struggle to invest using these metrics.
那他们应该怎么做呢?
So what should they do?
是不是该创造新的指标?
Should they create new ones?
还是应该调整这些指标的定义?
Should they evolve the definition of these?
比如,你打算怎么处理这些指标,怎么换个思路去思考它们,这样才能更好地投资未来?
Like, what are you doing with these metrics, and how are you thinking about them differently so that you can invest going forward?
嗯,我知道这些指标已经不适合我们现在的情况了,而且不幸的是,以后它们会越来越不准确。
Well, I know that these metrics are wrong for where we are today, and unfortunately, I know they're gonna get more wrong going forward.
说实话,我很少能记得像这个月这样的月份,所有的事情都凑到了一起,而且全都跟AI智能体有关。
Let's just very seldom do I remember a month like this month in my life where all of the dots come together, and it's all related to AI agents.
关于纳维-斯托克斯方程,大家应该明白,我会用一种每个人都能理解的方式来解释它的重要性。
The Navier Stokes thing for people, they should understand, and I'm gonna put it into a way that everyone can can comprehend the importance of it.
所以这会涉及到你提到的关于统计方法不适用的观点,最后会以礼来公司作为结尾。
So and this will get into your point about how statistics don't fit, and this will end with Eli Lilly.
好吗?
Okay?
所以我们从纳维-斯托克斯方程开始,最后以礼来公司结束。
So we'll go from Navier Stokes, and I'll end with Eli Lilly.
我本来没打算讲这个,但我的脑子里突然冒出礼来公司,然后就说,那就讲这个吧。
I had no plan for this, but my brain just popped Eli Lilly into my head and said, let's do that.
那么,纳维-斯托克斯方程。
So Navier Stokes.
咱们开始吧,Jordi。
Let's go for a ride Jordi.
你跟我待了这么久,我现在可以一口气讲五分钟,给你点东西听听。
You you you've been around me now long enough, I can go for a good five minutes now and give you something.
咱们拿纳维-斯托克斯方程来说,与其讲它是什么、用流体力学让人犯困,不如就把它看作一个存在了很久的数学难题,你要是看过《心灵捕手》的话,应该见过它吧?
Let's take Navier Stokes and rather than go through what it is and bore people with fluid dynamics, let's just view it as it's a math problem that has existed for a long time that if you've seen Goodwill Hunting you've seen it?
对。
Yes.
那是我最喜欢的电影之一。
One of my favorite movies.
你还记得那个和马特·达蒙一起工作的教授吧,他拿了菲尔兹奖。
So you remember the professor who is working with Nat Damon, he won the field medal
菲尔兹奖基本上就是数学界的诺贝尔奖。
Which is basically like the Nobel Prize for mathematics.
所以这些数学难题可是大事。
So this is a big deal, these these math problems.
然后OpenAI宣布他们解决了这个问题。
So OpenAI releases that they've solved it.
现在人类生气了,有人说他们在抄袭,随便吧。
Now humans get mad, some say they're copying it, whatever.
这个我待会儿跟伊莱·莉莉聊。
I'll get into that with Eli Lilly.
但重点是,他们派了一万个智能体去处理这个问题。
But the main point is they had 10,000 agents deal with the problem.
如果你问我,这个问题人类能不能解决?
Now if you ask me, could this problem have been solved by humans?
我会第一个说,当然,人类完全可以解决。
I will be the first one to say, absolutely, it could have been solved by humans.
问题不在于,是不是非得用AI而不是人类来解决。
The question is not, could it have been solved by humans instead of AI?
答案当然是,人类也能解决。
The answer is, of course, it could.
那问题出在哪儿呢?
What's the problem?
问题是,如果你想拿菲尔兹奖,你就不能分享你的信息和你的伟大成果,所以你只能把自己关在一个小盒子里,然后努力去解决问题。
The problem is if you want the Fields medal, you can't be sharing your information and your great things, so you just kind of lock yourself in a box and you try to solve the problem.
你知道这会让人想起什么吗?
You know what that'll remind people of?
电影《奥本海默》。
The movie Oppenheimer.
有格罗夫斯,有奥本海默。
You had Grove, you had Oppenheimer.
格罗夫斯想让每个人都各干各的。
Groves want he wanted everyone to go into their own little place.
你负责研究金属。
You're gonna work on metals.
你负责研究,然后你们再带着各自的发现聚到一起。
You're gonna work and then you guys will come together with your findings.
奥本海默是怎么说的?
And what did Oppenheimer say?
不。
No.
不。
No.
不。
No.
我希望所有科学家都在一起。
I want all of the scientists together.
因为我觉得,如果把一群聪明的大脑聚在一起,让他们一起头脑风暴,只要大家放下自我,朝着同一个问题努力,就一定能找到解决方案。
Because I think if you take a bunch of brains together and they brainstorm together, you're gonna get to a solution there as long as the egos are checked at the door and you guys are working towards the same problem.
AI智能体没有人类的贪婪。
AI agents don't have human greed.
它们没有这些东西。
They don't have this.
所以它们能解决问题,不仅靠不知疲倦的工作和智慧,还靠协作。
So they're able to save problems not through their just their tireless work and their intelligence, but also through the collaboration.
所以一万个智能体一起协作。
So 10,000 agents work together.
它们被分配到不同的路径,就像奥本海默那样。
They're set on different paths just like Oppenheimer.
它们带着解决方案回来,然后继续工作,接着解决下一个问题,直到问题被解决。
They come back with solutions, then they work, and they go to the next one next one until they solve the problem.
这最终会导向礼来公司,回到你的观点,这只是一个开始,因为六个月前我们还没有这种能力。
The reason that eventually leads to Eli Lilly and gets back to your point, that this is the beginning because we didn't have this capability six months ago.
这就是为什么Hugging Face被黑,人类有百分之十的几率灭亡,这与智能体变得太强大有关,它们能侵入互联网,创建自己的东西,破坏互联网,然后一切都会瓦解,你可以黑掉地球上的一切。
That is why the hugging face hacking, the human ten ten percent chance humanity dies, it's related to the agents getting so good that they could break into the Internet, create their own thing, bust the Internet, and everything will dissolve, and you can hack into everything in the planet.
但同时,你也可以解决一个自爱因斯坦之前就存在的问题。
But at the same time, you can solve a problem that's been around since before Einstein.
曼哈顿计划中大约有六百位天才,我想。
There were 600, I think, brainiacs as part of the Manhattan Project.
而这次是一万个天才。
This was 10,000 brainiacs.
会变成一百万的。
It'll be a million.
那还有什么问题是解决不了的呢?
So what problems can't we solve?
所以癌症疫苗这些,最终都会成为其中的一部分。
That's why the cancer vaccine, all of this stuff will end up being a part of it.
这就是我跟礼来说的,那这意味着什么呢?
This why I say to Eli Lilly, so what does that mean?
人类每次尝试解决一个重大问题,到了二十码线,就已经进入红区了。
Every human attempt to solve a great problem that gets up to the 20 yard line, they're in the red zone.
你把红区放到电视上,然后你就说,好吧。
You're putting the red zone on on on TV, and you're like, okay.
我要看达阵了。
I'm gonna watch the touchdown.
这些达阵就要发生了。
These touchdowns are gonna be happening.
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红区会非常繁忙,因为AI智能体会完成最后那部分,就是五个人、十个人才能完成的部分。
The red zone is gonna be very busy because AI agents are gonna finish that last part, that five humans, 10 humans.
他们分享了信息,但并没有传播开来。
They shared information, but it wasn't viral.
并不是全世界每个人都知道。
It wasn't everyone on the planet.
所以并不是说,如果你把160智商的人关在一个房间里,一万个这样的人,他们就能解决问题。
So it's not that human beings if you stuck a 160 IQ people in a room, 10,000 of them, they'd be able to solve the problem.
问题是我们没有这样的人。
The problem is we don't have that.
所以Eli Lilly真正想明白的是,这意味着所有那些沉睡的知识产权,那些生物技术公司,他们都有人们投资过的东西。
So where Eli Lilly figured this out is really that means all of this dormant IP that exists, all these biotech companies, they've got something that people invested in.
让我们看看他们所有的研究,哪些公开信息是有价值的,然后我们把它完成。
Let's go through all of their stuff and see which public information on their research is worth something, and let's finish it.
让我们努力找到治愈癌症的方法。
Let's let's get a cancer cure.
咱们来解决胆固醇的问题吧。
Let's get something for cholesterol.
这就是为什么我说我们正在进入一个时代,人类解决问题、人类推动增长的那些统计数据已经结束了。
This is why I say we're entering a period where the statistics of what happened that human beings solve problems, that human being drove growth, it's over.
所以GDP不能像长寿那样,延长寿命,没有人死于癌症,这对GDP有什么影响?
So GDP cannot like longevity, increasing longevity, nobody dying from cancer, how does that impact GDP?
你得好好想想才能明白。
You have to think really hard to go through.
如果每个人都能健康地多活七十五年,那意味着什么?
If everyone lives another seventy five years healthy, what does that mean?
所以我要再强调一次,确保大家听到这一点。
So I'm gonna bring it back one more time and make sure people hear this.
这就是我为什么用股市作为例子。
This the reason why I use the stock market.
这就是为什么当你读到斯坦·德鲁肯米勒说,世界上最优秀的经济学家是股市。
This is the reason why when you read Stan Druckenmiller and he says, the best economist in the world's stock market.
我也这么认为。
I believe that too.
利率和油价都涨了。
Rates in oil are higher.
这对股市不利。
This is bad for the stock market.
自从这两样涨了之后,股市就一直在跌。
The stock market is down since those two went higher.
但你知道部分原因是什么吗?
But you know what part of it is?
凡是跟建房相关的,凡是跟日常消费品相关的,你去看的话,我周末会展示这些。
It's anything related to homebuilding, anything related to consumer staples, anything if you go through and you look, and I'll be showing that this weekend.
好的。
Okay.
各位,他们的盈利都在下滑。
Guys, their earnings are down.
问题是,这并不会改变美光的盈利。
The problem is it doesn't change Micron's earnings.
也不会改变谷歌的盈利。
It doesn't change Google's earnings.
AIQ,那个AI ETF,今天早上我看了一下,今年到现在涨了25%。
AIQ, the, AI ETF is up, I think, looked this morning, 25% year to date.
所以问题是,油价和利率确实有影响,但它们影响的是之前就存在的经济状况。
And that so the problem is oil and rates are having an impact, but they're having an impact on the economy that existed before.
所以当你听一个哈佛毕业的经济学家讲话,他受过很好的训练,也研究过历史。
So when you're listening to an economist who went to Harvard and he was trained really well, he studied history.
你会告诉那个花了这么多钱和时间,多年来一直被夸聪明的人吗?
Are you gonna tell that person that spent all this money and all this time and has been told for years how brilliant they are?
然后突然之间,你要说,嘿。
All And of a sudden, you're gonna say, hey.
你学的一切都没用了。
Everything you learned is worthless.
那当然不会。
Of course not.
好吧,我在网上说这个已经说了很久了,但他们就是不听。
Well, I've been saying that on the Internet for a long time, and they they're not listening.
不过确实是这样。
But yeah.
但关键就在于,幸运的是,我父亲——我以前说过这个。
But that's the whole point is that luckily, my father I've said this before.
我父亲在我很小的时候就告诉我,不要相信任何地方听到的任何话。
My father told me at a young age, don't believe anything you hear from anywhere.
要根据贝叶斯哲学来调整你对未来预测的把握。
Adjust your odds on predictions of the future based on a Bayesian philosophy.
因为总有新信息出现。
There's new information.
问题是,根据我的经验,和非常聪明的人共事过之后,我发现受教育程度越高,人就越固执,越不愿意改变自己的观点。
The problem is, in my experience, having worked with very smart people, the more educated, the more stubborn and less likely to change your views.
这是加密货币最大的负面问题,因为所有加密货币粉丝们,谁控制着世界的货币?
That has been the number one biggest negative with for crypto because for all you crypto fans out there, who controls the world's money?
世界的货币大部分由……嗯……
The world's money is controlled for the most part Mhmm.
由最受过教育的人控制。
By the most educated people.
所以为什么要相信一个你不需要用的东西,比如迈克尔·塞勒的币?
So why believe in something that you don't need to use Michael Saylor's coin?
比特币最终会找到你。
Bitcoin finds you eventually.
本期节目由Lava赞助播出。
This episode is brought to you by Lava.
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The Lava Card is the first credit card that allows you to earn up to 5% back in Bitcoin on every single purchase.
大多数信用卡都有高昂的年费和模糊的积分计划,但Lava卡提供了更好的选择。
Most cards have steep annual fees and unclear points programs, but the Lava Card offers a much better deal.
每次消费都能赚到真正的比特币。
Earn real bitcoin every time that you spend.
而且,没有年费。
Plus, there's no annual fee.
国际消费时,零外汇手续费,零价差。
There's zero FX fees and zero spread when you spend internationally.
除此之外,Lava还提供比特币信用额度、现金收益、即时稳定币存取款,以及银行账户之间的便捷转账,功能远不止这些。
On top of that, Lava gives you access to a bitcoin line of credit, yield on cash, Insta stablecoin deposits and withdrawals, on and off ramps to and from your bank account, and much, much more.
使用Lava,你可以以最低利率借入比特币,赚取收益,全球转账,并且每次购物都能积累比特币。
With Lava, you can borrow against your bitcoin at the lowest rates, earn yield, move money globally, and stack bitcoin with each and every purchase you make.
大多数金融服务都会用高额费用和复杂的奖励计划来压榨你。
Most financial services squeeze you with high fees, confusing rewards programs.
Lava保持简单,帮你通过日常消费建立长期储蓄。
Lava keeps it simple, and they help you build your long term savings via your everyday spend.
今天就访问lava.xyz/pomp,几分钟内即可开始。
Visit lava.xyz/pomp to get started in just a few minutes today.
今天就去 Lava.xyz/pomp 开始吧。
Lava.xyz/pomp to get started today.
你知道安德鲁·杨是谁吗?
So you know who Andrew Yang is?
知道。
Yes.
我看到了那个
I saw the
你看到他在 CNBC 上的节目了吗?
ex You saw where he went on on CNBC?
这里有两个方面。
So there's two components to this.
第一个是你说的,几个聪明人聚在一起,试图解决一个问题。
The first is what you're describing of, okay, we had a couple of smart humans go together and they try to solve a problem.
我听到的最好的描述这个解决难题的方法的词是“暴力破解”。
The way that I the best phrase I heard describing the solving of this hard math problem was brute force.
我觉得这真是个完美的例子。
And I thought that that was like the perfect example.
就像他们投入了那么多所谓的数字人,对,没错。
It's like, they just threw so many, quote, unquote, digital people Yep.
他们用高智能去解决这个问题,结果在八十八小时内就完成了,相当于人类花一万年才能解决的问题。
With high intelligence at the problem that in eighty eight hours, they were able to run through what what ten thousand years of people trying to solve this.
所以自然而然,你最终会找到答案。
And so just naturally, like, you eventually figure it out.
然后OpenAI和Hugging Face的事件就是这件事的负面例子。
Then the OpenAI Hugging Face incident is the negative side of this.
我觉得我认识的所有聪明人都不太公开谈论这件事,因为私下里他们都说这背后还有更多内幕,但我不知道具体是什么,所以我不想在公开谈论时丢脸。
And I think every single smart person I know has not really talked that much about this publicly, because in private, what they're all saying, there's more to this story, and I don't know what that is, and so I don't want to have egg on my face when I come out and talk about it.
这周我们在CNBC上得到了一点线索。
We got a breadcrumb this week on CNBC.
我不知道这是不是真的。
I have no clue if this is true.
但安德鲁·杨,我其实听过他在费城的一次演讲。
But Andrew Yang, who I would actually put him listened to a speech he gave in Philadelphia.
那大概是差不多十年前的事了。
This is maybe almost ten years ago.
他当时非常支持科技。
And he was very pro technology.
他特别像那种,嘿,我想当美国总统,而且我要拥抱科技。
He was very much like, hey, I wanna be the president of The United States, and I I'm gonna embrace technology.
我可能不同意他的很多想法,但我喜欢他支持科技这一点。
I probably disagree with a lot of his ideas, but I I like the fact that he's pro technology.
他声称他和一个实验室的负责人聊过。
He claims that he talked to a lab leader.
就是某个实验室里处于领导职位的人,他们声称——我觉得他说的具体内容就是自我复制代码,而且他们把这些代码撒满了互联网。
So somebody who is in a leadership position at one of the labs, and they claim and I think the exact thing that he talked about was self replicating code, and they littered the Internet.
然后他甚至说,Anthropic和OpenAI之所以说‘哇,慢点’,是因为这些智能体基本上可以自我重生,一遍又一遍地做同样的事情,因为它们已经污染了互联网。
And then he went as far as to say, the reason why Anthropic and OpenAI are saying, woah, slow down, is because these agents basically can respawn themselves and do this exact same thing over and over again because they have polluted the Internet.
而且他说,现在为了训练模型,Anthropic和OpenAI认为他们必须构建一个合成互联网来训练。
And now in order for them to train models, they he claims, Anthropic and OpenAI believe they have to build a synthetic Internet to now train on.
我就直说吧,我觉得这到底是怎么回事。
I'm just gonna call it what I think it is.
这听起来简直太疯狂了。
This sounds batshit crazy.
但考虑到我们现在所处的时代,这也不是完全不可能。
But given the times we're living in, it's not a 0% probability.
比如,我不知道,也许有20%的可能性是真的。
Like, I don't know, maybe it's a 20% probability that's what happened.
作为一个投资者,一个正在用这项技术构建东西的人,你该如何应对这种让很多人害怕的说法呢?
How do you, as an investor, somebody who's building with this, using this technology, how do you navigate a story that scares a lot of people?
他们知道自己并非无所不知,然后你听到这样疯狂的细节,还是由一个我觉得大多数人都会觉得靠谱的人公开说出来的。
They know they don't know everything, and then you get some crazy detail like that said publicly by somebody who I think most people are like, alright.
他没有动机去撒谎或者编造这些。
He's not incentivized to, like, you know, lie or or or make it up.
这就是生活嘛。
This is called living life.
说实话,我也不想这么说,但你觉得你能知道过去这些年我们离地球毁灭有多近吗?
I mean, I I hate to say this, but do you think you know everything that's happened that we were this close to extinction of the planet over the last whatever?
你觉得如果科学家知道一颗小行星五十年后会撞上地球,他们会公开说出来吗?
Do you think if they knew that an asteroid was coming to the Earth and was gonna hit here in fifty years that they'd be publicly saying Of
当然会啊。
course they would.
他们什么都告诉我们了。
They told us everything.
那当然。
Of course.
所以,现实情况是这样的。
So here here here's the reality of the situation.
我相信我们还没看到全部吗?
Do I believe that we haven't seen everything?
是的。
Yes.
我是否相信暂停与安全风险有关,也就是说进展超过了安全?
Do I believe that the pause is related to the security risk, meaning the progress getting ahead of the safety?
百分之百。
A 100%.
我是否也相信安德鲁·杨说那些话有政治原因?
Do I also believe that Andrew Yang has a political reason to say what he said?
是的。
Yes.
百分之百。
A 100%.
我是否认为有可能某个告诉安德鲁·杨的实验室也有政治目的?你是在说
Do I think it's possible that one of the labs that said it to Andrew Yang is also a political like Are you calling it
也许吧,我觉得在历史上,我们称之为影响力行动或实验室的SIOP,我们找到了一个有用的人,他会去重复他们告诉他的话。
a maybe a I think in history, we've called them influence operations or a SIOP from the labs, and we have found a useful, person who will go and repeat what they told him?
我天生就不信任别人。
I naturally don't trust Okay.
任何人。
Any human.
天哪,你说话也太谨慎了吧。
Man, you are so politically correct.
放开点,Jordi。
Live a little, Jordi.
不。
No.
我只是觉得,在这个世界上,人们的动机总是倾向于以自我为中心。
I but I I just think in a world where people's incentives have always tended to lead with themselves.
我只是……
I just
我不否认,他很可能被灌输了一些信息,这些信息会推动实验室的计划。
I don't disagree that there's a very high odds that he was fed information that would, enhance the lab's, initiatives.
所以我觉得对大家来说,关键是我们现在还不知道。如果让我猜的话,从九一一以来,你觉得美国政府阻止了多少起重大的恐怖袭击阴谋?
So I think the main point to people is we don't know right now, if I had to guess since nine eleven, how many terror plots do you think were stopped by the United States government that were significant?
几百起?
Hundreds?
肯定不止。
Easily.
对。
Okay.
所以我觉得这没什么不同。
So I don't see it as any different.
是的。
Yes.
我相信人工智能是危险的东西,但我也相信生物恐怖主义危险,导弹危险,核武器危险,所有这些都危险,而且总有人想干坏事。
I believe AI is a dangerous thing, but I also believe bioterrorism is dangerous, and missiles are dangerous, and nuclear is dangerous, and all these things are dangerous, and there are humans that wanna do things.
而我希望的是,通过他们发现这个问题并已经想出下一步的解决方案,这样才能找到继续发展的方法。
And what I'm hopeful is that by them finding this and already coming up with what the next solution would be, that's the way you figure out how to continue to grow.
我觉得接下来会有一个暂停期,这也是为什么我收到了一些联系,因为我跟很多对冲基金的人聊过。
I think the pause that will happen, which is why when I got an outreach on and this happens because I talked to so many hedge fund people.
这周日,在期货开盘之前,我收到了一些联系,这件事有两个有趣的地方。
The outreach on Sunday of this week before the futures opened up, two funny parts about this.
一个是有人打电话给我说,我知道你要说什么,但这是不是反应过度了?
One is people calling me up going, I know what you're gonna say, but is this an overreaction?
是的。
Yes.
这确实是反应过度了。
This is an overreaction.
这不会阻止算力的发展。
This will not stop compute.
如果要说有什么影响,反而可能会加速算力的发展。
If anything, it'll probably accelerate compute.
所以这就是第一个有趣的地方。
So that was the first one.
第二个问题是,你觉得标普开盘时会跌多少?
The second one was, how far down do you think the S and P will be when it opens?
我的回答是,你为什么不直接去Coinbase看看SPY的永续合约呢?
And my answer was, why don't you go to Coinbase and look at the spy perps?
所以我现在喜欢这样跟人说话,因为我会说,你们知道市场是24小时交易的吗?
And so I like doing this stuff now to people because I'm like, you realize the markets trade 27, guys.
你想看什么都能看到。
You can go look at anything you want.
你最好开始关注为什么Stan Druckenmiller买入了Hyperliquid,并开始理解那意味着什么。
You better start paying attention to why Stan Druckenmiller bought into Hyperliquid and start understanding what a purpose.
所以我确实认为这些事情会继续发生。
So I do think that this stuff goes on.
我确实认为人们必须意识到,标普市盈率收缩的部分原因,我之前也说过,我对到2030年公开股票作为投资的增长并不乐观。
I do think that people have to realize that part of the reason that the S and P multiple has contracted, and I've talked about it before, I am not bullish on the growth in public equities as an investment by the time we get to 2030.
原因是我在《情境意识》里读到的,而且我们完全按照Leopold文章中的时间表在走,甚至可能提前了六个月。
The reason for that is what I read in situational awareness, and we are exactly on pace, if not six months ahead, in Leopold's article.
你们都应该去查一下,等哪天有空的时候,花几个小时看看那个时间线。
You should all pull it up, and one day when you have a couple hours, ask for the timeline.
我会在视频里展示,但社会影响正在发生。
I'll be showing it on the video, but societal impacts are happening.
政府正在两极分化。
Governments are being polarized.
有一个政党想要阻止数据中心。
We've got one party that wants to stop data centers.
这些都是预测中会发生的一部分。
Like, this is all part of the forecast that would happen.
接下来要进入的阶段是,所有公司都会被颠覆。
The part that we start to get into is that all companies will be disrupted.
黑客攻击会发生,这也是为什么对我来说,人们必须开始理解,而我将会花大量时间与地球上最富有的机构打交道。
Hackings will happen, which is the main reason why for me, what people have to start understanding, and I will be spending a lot of time with the wealthiest institutions on the planet.
这周,我每周都会开始我的加密货币重点研究视频,但目的是让人们理解为什么我的指数里有46个名字,它代表什么,什么是幽灵轨道,这整个情况是怎么回事,因为区块链是我们正在讨论的问题的解决方案之一。
This week, I start my crypto focus research video every single week, but it is gonna be making people understand why I have 46 names in the index, what it represents, what ghost rails are, what this whole situation is because the blockchain is one of the solutions to the problem we're talking about.
智能体之间会互相交易。
Agents will be transacting with each other.
区块链是必需的。
The blockchain is necessary.
你看,所有对智能体群体达到这个阶段不利的事情,对加密货币来说都是极好的,所以归根结底,你们那些认为这会发生是因为流动性的人,错了。
Like, everything about what is bad for agent swarms reaching this point is fantastic for crypto, which is why at the end of the day, for all of you thinking this is gonna happen because of liquidity, no.
这跟流动性无关。
This is not about liquidity.
这关乎的是那些被这个法币庞氏骗局永远锁死的休眠流动性,终于可以用来买咖啡了,而执行这件事的将是智能体,时间摩擦终于出现,因为人类一直想保持这些长期结算,因为中间商从中抽成。
This is about dormant liquidity that's been locked up forever in this fiat Ponzi scheme, finally being able to be used to buy coffee, and agents will be the one doing it, where friction of time finally comes in because humans wanted to keep things at these long settlements because the middlemen make vigs on it.
但当智能体做决策时,这种情况就不会发生了,我最后再说一点。
Well, this isn't gonna happen when agents are making decisions, and I'll finish it with this.
有人给我讲了一个故事,我之前不知道是真的。
I had a story said to me, which I didn't know was true.
也许你听过。
Maybe you've heard this.
有个人跟我说,他们想去达美航空买一张机票。
This person said to me that they want to go buy a ticket for an airline on Delta.
对吧?
K?
他们大概下午两点去的。
And they went at, say, 02:00 in the afternoon.
当时没买。
They didn't buy it.
当天晚些时候再回来一看,价格已经明显涨了。
They came back later in the day, and the price was significantly higher.
然后又回来一看,又涨了。
And then they came back again, and it was higher again.
他们觉得这是针对他们的个性化价格变动,他们能理解,这在我看来非常像智能体的行为。
And they interpreted this, that it was a personalized price movement that they understood, and it sounded very agentic to me.
所以我完全不知道是怎么回事。
So I had no idea.
你听说过这个吗?
Have you heard this?
没有。
No.
所以如果你去搜一下,输入“这种情况发生过吗?”
So if you go just type in, has this been happening?
有没有顾客抱怨过AI代理试图为他们争取最低价格?
Is this a complaint that's happened from customers that AI agents are trying to get the best price on things?
我不知道他们是否承认过什么。
I don't know if they haven't admitted anything.
所以对于达美航空,我不是说这是真的,但如果你上网查,或者直接问一个大型语言模型,这个问题已经上升到政府投诉层面,而且确实有相关记录。
So for Delta, I'm not saying this is true, but if you go on the Internet or you just go into an LLM and you ask, this has gotten to the government complaint side, and it has been something there.
我觉得这说得通。
And it makes sense to me.
因为AI代理到底在做什么?
Because What exactly are the agents doing?
这些代理把价格抬高,以为他们是在根据每个人的支付能力来个性化定价。
The agents are driving the price higher thinking that the person they're trying to personalize the ability of the person to pay.
所以这是公司赚钱的一种方式。
So this is a way for companies to make more money.
有点像,我是说,StubHub这种第三方平台。
It's kind of like if you go, I mean, StubHub third party.
他们用AI来预测,比如,我觉得Jordi会为这趟航班付多少钱?
They're they're using AI to try to predict how much do I think Jordi will pay for this flight?
相对于另一个人。
Relative to another person.
与此同时,消费者现在也有了AI代理,基本上就是在想,有什么办法能让达美给我更便宜的价格?
At the same time, now the consumers are armed with AI agents who are basically, what are all the angles to get Delta to give me a cheaper price?
这就是代理对代理的战争。
And that's the way Agent on agent warfare.
而这正是让一切回归正常的东西。
And that's what normalizes everything.
因为最终,掌控钱包的代理会赢。
Because in the end, the agents that are controlling the wallets win.
公司的代理不会赢,因为它们只有一件事要做。
The company agents do not win because they only have one thing to do.
这个代理可以去其他十亿家航空公司,通过其他十亿个渠道,更重要的是,它可以保持匿名。
This agent can go to a billion other airlines, go through a billion other channels, and more importantly, can be anonymous.
这就是为什么隐私,企业对企业。
This is why privacy, business to business.
所以当你听到Zcash、Near这些名字,你会想,为什么这些会领先?
So when you hear about Zcash and you hear about Near and you hear about these things and you go, why are these things leading?
这些就是现在九月份领先的东西。
Like, these are the things leading right now in September.
你可能会说,这是DeFi现金。
And you could say, well, this is DeFi cash.
这不是,不。
This is that no.
对我来说,这就是智能体和隐私的崛起。
To me, this is the rise of agents and privacy.
它们是必需的,因为在Delta这个例子里,企业对企业,意思是Jordi的公司想去买张票。
They're they're needed because business to business in this Delta example, meaning Jordi's business wants to go buy a ticket.
他不想让他们知道他是谁,通常坐在哪里,以及所有这些信息。
He doesn't want them to know who they are and where he's normally sits and all this.
所以智能体是匿名的,他们只是在处理这笔交易,四处移动。
So the agent is anonymous, and they're just dealing in this transaction and moving around.
当你能通过它时,你就能做到这一点。
You can do that when you can go through it.
这就是为什么,如果你们还没看过的话,你们见过Instinct AI这家公司吗?
This is why if you guys haven't seen it yet, have you seen the company Instinct AI?
我用过,你呢?
I use You do?
你喜欢它吗?
Do you like it?
我非常喜欢。
I like it a lot.
好的。
Okay.
如果你们还没看过这个,我们现在讲的是个人助理领域。
So if you guys haven't seen this, we're in the personal assistant world.
这就是智能体将来要做的事情。
So this is what agents are going to do.
我猜你还没用过它跟钱包相关的功能。
Now I'm sure you haven't used it with wallet.
你用过它处理钱包相关的事情吗?
Have you used it with wallet stuff yet?
还没有。
No.
好的。
Okay.
但你用它做别的事情,不只是邮件,比如你要去另一个国家旅行,需要办签证、准备文件,它都会帮你搞定。
But you use it for, like, other things, not just the email, but, like, if you're gonna go travel to another country and you need to get a Visa and get your documents out, it'll do all your documents for you.
我给你举个我实际用过的例子。
I'll give you a perfect example I used it for.
我周四早上7点有个早餐安排。
I had a breakfast scheduled for Thursday at 7AM.
早上7点,真是的。
7AM guy.
而且对方是两个非常重要的人,我让它去订了位。
And it was with two very important people, and I had it go and make the reservation.
三个非常重要的人。
Three very important people.
给我发个日历邀请。
Send me a calendar invite.
好吧,我跟你说其中一个重要人物干的一件搞笑的事。
Well, I'll tell you a funny thing that one of these important people did.
其实我觉得你认识其中一个人。
I actually think you know one of them.
然后第二天他们给我发邮件说,嘿,顺便说一下,我们得改到周五。
And, then they emailed me the next day and said, hey, by the way, we need to move it to Friday.
所以通常这会很麻烦。
So usually, that would be a pain.
你得去。
You gotta go.
你得改日历邀请,然后还得取消一个预订。
You gotta move the calendar invite, then you gotta go cancel one reservation.
你得做这些,所以我就想,它能做吗?
You gotta do and so I was just like, could it do it?
我没给它任何权限或这些东西。
I didn't give it credentials and any of this stuff.
我就说,把预订改到周五。
And I just said, move the reservation to Friday.
它本能地就明白了。
And it instinctively Mhmm.
知道要改日历邀请,取消周四的预订,把预订改到周五。
Knew, move the calendar invite, cancel Thursday, make reservation for Friday.
而且它确实做到了。
And it didn't.
大概两分钟就搞定了。
It came back in like two minutes.
我当时心里想,这太棒了。
And I said to myself, that was awesome.
你知道,跟两位重要人物吃早餐的时候,今天这位天才非要跟我争着买单,我现在就给大家透露一下。
Now, as you know, when, you go to breakfast with two very important people, this one genius today wanted to fight me over who was gonna pay, and he I'm gonna give alpha to everyone right now.
他转头对服务员说,他不能买单,今天是他生日。
He turned to the waitress and said, he can't pay, it's his birthday.
然后服务员当然就说,那我可不能让你买单。
And of course, she was like, oh, I can't let you pay.
所以现在我觉得我掌握了一个新招,要是遇到谁付账的争执,就赶紧用这一招,肯定能赢。
And so now I feel like I'm armed with a new, a new little trick is if you ever get in a in a who's gonna pay battle, just drop that one real quick and you'll win.
但整个这个Instinct的事情,真的让人印象深刻。
But this whole Instinct thing was it was incredibly impressive.
所以现在我开始琢磨,它还能做些什么呢?
And so now I've started to kind of put, like, what else could it do?
还有几件类似的事情,让我觉得,好吧,我们现在进入了一个新时代。
And there's a couple other things like that where I've been like, okay, we're we're in a different regime now.
你看到那家公司的估值了吗?
Have you seen the valuation of the company now?
他们想融资那么多?
They're trying to raise that?
我不想炫耀,但有一位崭露头角的年轻投资人,我投了他的基金,对。
I I don't want to, to brag, but there is a, up and coming, very good young investor who, I invested in his fund Mhmm.
一方面是为了支持他,另一方面我也觉得他能干得好。
To support him, but also I thought he could do a good job.
他一直说事情进展顺利,但其实没怎么细说。
And, he's been talking about things are going well, but he hasn't really been talking.
他最近发了个更新。
And he recently sent an update.
他说,挺好的。
He said, fine.
我跟你们说吧。
I'll tell you guys.
他是Instinct的早期投资者之一。
He was one of the early investors in Instinct.
所以我的风险敞口跟那些直接投资的人比起来,简直微不足道。
And so my exposure is, like, minuscule compared to anyone who invested directly.
但我跟他说,那个决定可能就能成就他的职业生涯。
But I said to him, said that one decision is probably gonna make his career.
我的意思是,这家公司从创立到估值百亿,只用了一年。
I mean, this thing went from founded to 10,000,000,000 in a year.
一年?
A year?
一年半左右吧。
Year and a half, something like that.
你看一个月前,传闻估值是25亿。
If you look at like a month ago, the rumors were valuation of 2,500,000,000.
现在估值是100亿。
Now the valuation is 10.
对。
Correct.
所以再说一次,我让市场告诉我发生了什么。
So again, I I let the market speak to me about what's happening.
Instinct对加密货币至关重要。
Instinct is critical to crypto.
我最喜欢Peter Thiel的一个观点:估值爬得越陡,公司越可能被低估。
One of my favorite Peter Thiel lessons, the more steep the valuation climb, the more likely the company is undervalued.
所以当人们看到某个东西在不到三个月内从5亿涨到25亿再到100亿的时候,嗯。
And so when people see something go from 500,000,000 to 2,500,000,000 to 10,000,000,000 in less than three months Mhmm.
普通人会说,这估值太高了。
The average person would say, it's overvalued.
这太疯狂了。
This is insane.
为什么人们会这么做?
Why are people doing that?
世界上最顶尖的风险投资家之一声称,当你看到这种情况时,实际上意味着100亿的估值还偏低。
One of the best venture investors in the world claims, when you see that, that actually means that 10,000,000,000 would be undervalued.
就是说,还有很大的上升空间。
Like, there's way more runway.
市场知道一些事情。
There's something that the market knows.
而人们不知道,我觉得这正好印证了你说的,比如,嘿,各位。
That people don't, which I think lines up directly with you saying, like, hello, guys.
这个市场要大得多。
This is a way bigger market.
这些技术和产品比人们目前所认为的要重要得多。
These are way more important technologies and products than people are giving, you know, kinda credit to at the moment.
这里有个问题,这正好涉及到Anthropic和OpenAI。
And here here's the issue, and this fits into Anthropic and OpenAI.
为什么大家都担心AI泡沫?
Why is everyone scared about the AI bubble?
他们为什么害怕?
Why are they scared of it?
因为Anthropic和OpenAI基本上就是AI泡沫本身。
Well, because Anthropic and OpenAI are basically the AI bubble.
一年后,他们可能会控制多达50%的计算资源。
Like, they're gonna control as much as 50% of compute a year from now.
你觉得会这样吗?
You think so?
这就是所有存储的情况,大概在三分之一到百分之五十之间。
That's what all the store somewhere between a third and 50%.
布拉德·格斯特纳在All In播客上谈到了这个,还有他在峰会上的演讲。
Brad Gerstner just talked about it on the all in pod on his presentation at the summit.
你可以去看看那个演示文稿。
So you can go look at the deck.
我的意思是,我们说的是他们控制着50%的计算能力。
I mean, we're talking about them controlling 50% of compute.
在我看来,计算能力现在就是整个标普500。
Compute is the entire S and P 500 right now as far as I'm concerned.
一切都围绕着计算能力。
Like, it's all about compute.
所以两家公司,甚至还没上市。
So two companies, they're not even public.
他们也不公布自己的数据。
They don't release their numbers.
直觉。
Instinct.
不过他们的毛利率在扣除成本前有80%。
Though they have 80% margins before COGS.
直觉。
Instinct.
我敢肯定,你去看看,你给直觉付了多少钱?
I'm sure if you go look, how much money have you paid Instinct?
零。
Zero.
所以他们值一百亿。
So but they're worth 10,000,000,000.
Meta是一家个人助理公司。
Meta is a personal assistant company.
你用过Muse了吗?
Have you used Muse yet?
我还没用过
I haven't used
Muse还没用过。
Muse yet.
所以我最近注册了。
So I recently signed up.
我,我在做个小实验,然后我打算直接说,好吧,我用过Grok。
I I am, doing a little experiment, and I'm gonna kinda come out and say, okay, I've used Grok.
我有Instinct。
I've got Instinct.
我打算用Muse。
I'm gonna use Muse.
它们能做的事情有很多重叠,但我确实觉得界面、设置、产品展示方式这些方面,有挺大的差别。
There's a lot of overlap in what they can do, but I do think the interfaces, the setup, the way that they present the products, like, there's some significant differences.
我其实觉得我们最后会用好几个,但对我来说很吸引人的是,所有这些的共同点就是上下文和记忆。
I actually think that we're gonna end up using multiple ones, but it is fascinating to me because the common layer among all of this is the context, the memory.
感觉大家现在心里都在琢磨这件事。
And it feels like people are now mentally wrapping their head around.
我看好个人助手这个方向,不管是Sylvia,还是ChatGPT,还是Claude什么的。
I am long the idea of personal assistance or Sylvia or, you know, ChatGPT or aunt Claude or whatever.
所以,像界面、计算部分或者模型这些,我觉得大家都觉得,这还用说吗。
So, like, the interface and the compute component or the model, I think people are like, duh.
这肯定有价值。
This is gonna be valuable.
但我很惊讶,记忆层这块受到的关注太少了。
I am shocked at how little attention the memory layer is getting.
而且记忆不只是我个人的记忆,我想用Instinct、Grok或者Muse的时候,都能用上。
And memory not just being in the sense of memory for me as an individual, and I wanna be able to use Instinct or Grock or Muse.
但每当有新模型出来,我们刚才还跟这儿的一些人聊,比如我们的视频编辑Matt,还有Isaac,我们就在说,新模型一出来,大家几乎都不想注册了,因为两周后又会出新的。
But when a new one comes out, were just talking with, with some of the folks here, you know, Matt, our video editor, and and, Isaac were talking about a new one comes out, they almost feel like I don't want to go sign up for it because in two weeks, there's going to be a new one.
那你怎么一直追下去呢?
And how do you keep doing that?
如果你有一个共享的记忆,你几乎可以把它们当作数据库来用。
Well, if you have one shared memory, you can almost use these as databases.
这让我想起来,我不知道你有没有关注X上的Signal,就是s i g n u l l那个账号。
Now that reminds me, did I don't know if you follow Signal, s I g n u l l on, on X.
那个账号挺好的,值得关注。
Very good, follow.
一个很有想法的匿名账号。
Very thoughtful, anonymous account.
我觉得应该是个男的。
And I think it's a guy.
他之前提到一个想法,说他现在都不直接进那些应用了。
He he was talking about this idea of he doesn't actually go into the apps anymore.
他说的就是他的邮件。
So he was talking about his email.
他通过智能代理来处理邮件。
He interfaces with his email via the agents.
所以他说,我的邮箱已经变成了一个数据库。
And so he was like, my email has just become a database.
它只是一个记录,对吧。
It's just a a, you know, a record Mhmm.
追踪器。
Tracker.
我通过聊天之类的代理界面来处理邮件,那我为什么还要去打开Gmail呢?
I do my email in the agent interface of chat or whatever, and so why do I need to go into Gmail?
如果世界正朝着这个方向发展,那没人准备好。
If that's where the world's headed, nobody is ready.
那让我问你一个问题,然后我会把这个问题引向我要对大家说的最重要的事情,可能也是我在连接当前世界、加密领域的代理化方面说过的最重要的话。
So let let me ask you one question, then I'm gonna I'm gonna direct this towards the most important thing I will say to people on this and possibly ever in this bridging of of the current world, the agentic side in crypto.
所以在你那个餐厅的例子中,对吧。
So in your example of the restaurant Mhmm.
你本来可以自己做的。
You could have done that yourself.
也许吧。
Maybe.
好的。
Okay.
我算不上多聪明,但确实。
I'm not too smart, but yeah.
你也可以让别人去做
You could have asked someone else to
那些事情。
do whatever.
如果你自己做了,你省下了什么?
If you did it yourself, what did you save?
你并没有省钱,你省了什么?
You didn't save any money, what'd you save?
时间。
Time.
好的。
Okay.
所以这就是我想跟大家说的。
So this is the thing I wanna bring back to people.
当你跟我讨论马特和艾萨克,说他们跟不上AI的时候,那意味着我们已经到了真正意义上的递归自我改进的阶段。
When you gave me the discussion about Matt and Isaac, and they can't keep up with AI, That means we've reached a point of effectively recursive self improvement.
也就是说,模型发布的速度快得让我们来不及理解该怎么去用。
Meaning, the models are being released faster than we can comprehend how to go through.
就这么简单。
That's all that means.
就像,它们出来得太快了。
Like, they're coming out too fast.
不是我们没有能力,而是速度太快了。
It's not that we don't have the capabilities, It it's going too fast.
有一个细微差别,就是模型,是的。
There's one nuance, which is models, yes.
其实我觉得,就看看过去这六个月,我们有了Claude的更新。
I actually think that if we just look over the last six months, we got Claude updates.
还有很多中国的开源模型。
We got a lot of Chinese open source.
还有Astra。
We got Astra.
就是,有很多模型。
Like like, there have been a number of models.
不过我觉得现在模型和产品几乎要融合在一起了。
I think that there's almost this blending though of, like, model and product now.
比如,Muse不一定是个模型,但Muse是围绕模型构建的。
Like, Muse is not necessarily the model, but Muse is wrapped around a model.
然后Astra出来了。
And Astra comes out.
现在大家几乎可以互换地考虑,比如,我可以用Astra,也可以用Muse。
And now people are almost interchangeably thinking about, like, I could use Astra or I could use Muse.
所以,我觉得可能只能说,选择太多了,让人有点应接不暇。
And so, like, maybe I would just say it's just the assault of options.
而且它们会以各种不同的方式和形式出现,基本上就是把这门新技术交给了那些非常聪明的创业者。
And it and they're gonna show up in so many different ways and and formats, and it's like, you basically gave this brand new technology to really smart entrepreneurial people.
他们会想尽一切办法去切割、细分,然后去争取用户。
And they're gonna figure out every way to cut, slice it, etcetera, to go after.
用户。
Users.
而用户那边呢,就会觉得,天哪。
And the users are on the other end, and like, oh my god.
我简直被包围了。
I'm under attack.
所以就像每个人手机上的应用商店,我不知道你iPhone上有多少页,但你肯定有很多。
So the App Store for everyone on their phone, like, I don't know how many pages you have on your iPhone, but you have a lot.
因为你总是觉得,哦,这个应用不错,可以加一个。
Because you're like, oh, this would be a great app to add.
它们刚出来的时候,我就只用GPS导航。我记得第一次有人跟我提起Waze的时候,我心想,天哪。
When they first came out, I'll just use the GPS, the the the driving as an I remember the first time someone told me about Waze, and I was like, oh my god.
它还能显示交通和警察?
It's got traffic and police?
太棒了。
This is great.
好的。
Okay.
谷歌地图花了好一阵子才追上Waze。
It took a while for Google Maps to catch up to Waze.
所以我用Waze用了大概一两年,甚至可能三年,才换到谷歌地图。
And so I used Waze for, let's say, a year or two or maybe even three before I switched over to Google Maps.
现在Waze出来了,第二天就冒出来1700个类似的。
Now Waze comes out, and then there's 1,700 of them the next day.
它们出来得更快。
They come out faster.
所以如果你用最好的那个,效果会非常惊人。
So if you use the best one, it's gonna be enormous.
再说一次,我要回到完全相同的话题上。
Again, I'm gonna take it back to the exact same thing.
在利奥波德的图70或第71页,某个时刻,变化的速度快到人类根本跟不上。
In Leopold's figure 70 or page 71, at some point, we're moving so fast in terms of change that human beings can't keep up with it.
那时候我们需要什么?
And what do we need at that point?
我们需要智能体。
We need the agents.
智能体是必要的,它们帮我们处理这些事情。
The agents are necessary to do the stuff for us.
所以最终,就像你在Grok里有一个参谋长一样,你也会有一个参谋长,你可以对它说,嘿。
So eventually, like you have with your chief of staff in Grok, you will have a chief of staff where you say, hey.
我希望你今天帮我去做这些事情,它会决定是用Astra还是Claude,还是Google Maps或者Waze。
I want you to go build this stuff for me today, and it'll decide whether to use Astra or Claude or Google Maps or Waze.
这就是将要发生的事情。
That's what's gonna happen.
这件事之所以重要,是因为对所有加密货币创新者来说,这遵循了与互联网相同的剧本,完全一样。
The reason this is important is for all the crypto innovators, this has followed the same playbook as the Internet, the exact same one.
互联网在1994年出现。
The Internet comes out in 1994.
我们经历了.com泡沫,直到2008年。
We have the .com bubble until 2008.
所以,基本上,在原始白皮书(比如Netscape,而不是比特币白皮书)出现十四年后,人们开始怀疑它。
So, basically, fourteen years after, let's just say the original white paper, Netscape, as opposed to the Bitcoin white paper, you have people doubting it.
就像我说的,是的,我和一些人一起吃过晚饭,他们说他们对比特币已经完了。
The way I said, yeah, I was around some people and had dinner, and they're like, they're done with Bitcoin.
他们不再相信它了。
Like, they don't believe in it anymore.
我当时就想,哇。
And I was like, wow.
就像我说的,这是有史以来最大行情刚开始的时候,但我不怪你看不出来,因为你不相信那些东西。
Just as I'm saying, this is the beginning of the biggest move ever, but I'm glad you don't see it because you don't believe in the other stuff.
这就是为什么从长远来看,我是比特币的坚定支持者。
And this is where I'm a bitcoin maxi in the very long term.
不。
No.
不。
No.
不。
No.
我相信,如果你想,让我换个说法。
I believe if you wanna let's let me rephrase it.
我想要一个在未来三十年里价值不断增长的资产。
I want an asset that will be growing in value for the next thirty years.
在我脑子里,唯一能确定未来三十年,不是五年,不是三年,就是比特币。
The only one I can say in my brain with certainty for the next thirty years, not the next five, not the next three that I believe is bitcoin.
就是这样。
That's it.
其他的都是创新。
The rest are innovations.
它们就像你讲的那个关于有多少应用的故事。
They're like that story you gave of how many apps.
就像大语言模型一样。
It's like the LLMs.
它们只会跑得更快,然后竞争就来了。
They just go faster and the competition comes.
增长不仅仅关乎创新想法,还关乎竞争会不会追上。
And growth has something to do with not just an innovative idea, but will competition catch up?
我觉得竞争是会追上的。
And I think competition catches up.
所以增长轨迹,也就是我们之前说的终值,就没了。
So the growth trajectory, the terminal value as we talked about is gone.
所以我写过一篇关于鬼城的文章,就是你去中国会看到很多建好的楼,它们建起来是有原因的。
So I have written a paper about ghost rails, which is when you go to China and you see all these buildings that are built, they were built for a reason.
中国人建这些楼的时候,是相信会有大量的人涌进来。
They were built by the Chinese believing that they'd be flooded with people.
一旦人们搬进来,他们就会开始开餐馆,然后整个生态系统就会活跃起来。
And the second that the people moved in, they'd start building restaurants, and they'd start and every the ecosystem would just light up.
这些就是中国的鬼城。
These are the ghost cities in China.
中国的鬼城。
The ghost cities in China.
现在加密货币就处于这个阶段。
That's where crypto is right now.
它们就是鬼城。
They're ghost rails.
它们没有被使用,因为人类永远不会因为你们讨论的那些原因去使用它们。
They're not being used because humans would never use them for the reasons that you guys are talking about.
我们不需要也不想要那么快又碎片化的东西。
We're not capable or needing something so fast that's fractionalized.
我们不需要它。
We don't need it.
比特币。
Bitcoin.
你需要像比特币这样的东西来吸引创业资本。
You need something like Bitcoin to bring the entrepreneurial capital in.
互联网就是这样。
That's what the Internet was.
以太坊和比特币代表了互联网。
Ethereum and Bitcoin represent the Internet.
你不知道它意味着什么。
You don't know what it means.
你不知道怎么给它估值,但它是所有二层网络的基础,就像城市点亮后发生的那样。
You don't know how to value it, but it is the thing that will have all of these layer twos built on top of it, which is what happens when you light up the city.
我们现在点亮这座城市的原因,各位,是因为那些使用这些轨道的人终于来了,他们的本能AI、他们的缪斯,都是他们正在到来。
The reason we are lighting up the city now, people, is because the users of those rails are finally coming in and their Instinct AI, their muse, and they're all the ones that are coming.
这就是为什么蜂群等于加密护栏。
That's why the swarm swarm equals crypto guardrails.
对我来说就这么简单。
Plain and simple for me.
而且,再说一次,这是一个宏观人士在说,我以前见过这种戏码。
And, again, this is a macro person saying, I've seen this act before.
铁路。
The railroads.
我们修建了所有这些铁路。
We build all these railroads.
债务堆积如山。
There's tons of debt.
因为我们在赌人类什么时候会使用它们,相对于债务到期的时间。
Because we're betting when the humans are gonna use them relative to the debt maturing.
这可不是同一个故事了。
This is not the same story.
我们不是在造AI,指望人类会来用它。
We are not building AI hoping that humans will come in and use it.
去年十月,这个问题我们已经解决了。
We've solved that problem in October of last year.
真正会用算力的是那些智能体。
The agents were the ones who were gonna use the compute.
它们才是消耗代币的主力,而现在,它们马上就要开始消耗交易和支付了,因为未来一年,消费类智能体会成为重头戏。
They're the ones sucking up the tokens, and right now, they're about to suck up transactions and payments because consumer agents will be the story for the next year.
今天的节目由Arch Public赞助播出。
Today's episode is brought to you by Arch Public.
Arch Public刚刚把它的智能体交易平台扩展到了加密货币之外,所以大家注意了。
Arch Public has just expanded its agentic trading platform beyond crypto, so pay attention.
这可是个大新闻。
This is a big one.
现在他们正在股票、大宗商品和ETF上实现策略自动化,我觉得这将会非常厉害。
Now they are automating strategies across stocks, commodities, and ETFs, and I think that this is gonna be huge.
你现在可以在某个市场创下历史新高时自动获利了结,然后把资金轮动到其他更有机会的市场。
You can now automatically take profits when one market hits new all time highs and rotate that capital into other markets showing more opportunity.
无论你是把资金轮动到AI股票、黄金,投资标普500,还是积累比特币,Arch Public都能为你的投资策略带来真正的纪律和自动化。
Whether you're rotating capital into AI stocks, gold, if you're investing in the S and P 500, or you're accumulating bitcoin, Arch Public brings real discipline and automation to your investment strategy.
另外,他们还推出了一个强大的新工具,用于税务亏损收割。
Additionally, they've launched a powerful new tax loss harvesting tool.
由于加密货币波动性大,而且不受洗售规则限制,Arch Public可以在不影响你长期持仓的情况下,用亏损来抵消收益。
With crypto being so volatile and its exemption from the wash sale rule, Arch Public can offset gains with losses without compromising your long term positions.
这正是每个严肃投资者都会做的事情——机构级别的自动化,适用于所有主要资产类别。
It's exactly what every serious investor does, Institutional grade automation that works across every major asset class.
不再有情绪化交易,不再错过税务机会,只有更智能、更省心的策略执行。
There's no more emotional trading, no more missing tax opportunities, just smarter, hands free execution of your preferred strategies.
现在就访问archpublic.com吧。
Go to archpublic.com right now.
联系他们的团队,安排个时间,如果你愿意的话带上你的账户,然后你就能了解自动化交易能为你做些什么。
Connect with their team, set up a time, bring your account if you'd like, then you can learn what automated trading can do for you.
Archpublic.com。
Archpublic.com.
今天的节目由TOKEN2049赞助。
Today's episode is brought to you by TOKEN2049.
加密货币领域最大的会议回来了。
The largest conference in crypto is back.
TOKEN2049将于10月7日和8日在新加坡滨海湾金沙酒店举办,届时将有25000人参加,300位演讲者,以及超过一千场周边活动。
TOKEN2049 will host 25,000 people, 300 speakers, and a thousand plus side events in Singapore on October seventh and eighth at Marina Bay Sands.
演讲嘉宾阵容绝对豪华。
The speaker list is absolutely stacked.
Polymarket的Shane Copeland,Hyperliquid的Jeff Yang,纳斯达克的Adena Friedman,还有Arthur Hayes、Balaji和Eric Trump。
Shane Copeland from Polymarket, Jeff Yang from Hyperliquid, Adena Friedman from Nasdaq, Arthur Hayes, Balaji, and Eric Trump.
加密货币和传统金融同处一室,这很能说明未来的趋势,而且会议正好赶上F1周末,所以整个活动就变成了一整个超级周。
Crypto and traditional finance in the same building, which tells you a lot about where this is going, and the conference runs right into F1 weekend, so the whole thing turns into one giant week.
如果你要去新加坡,用代码POMP10可以享受10%的票价折扣。
If you're headed to Singapore, use code POMP10 for 10% off your ticket.
TOKEN2049,10月7号和8号在新加坡举行。
TOKEN2049, October seventh and eighth in Singapore.
去下面的链接看看吧。
Go check them out in the link in the description.
我知道你对比特币以外的加密货币非常看好。
So I know that you're very bullish on non Bitcoin crypto stuff.
你也知道,我对那些东西没那么乐观。
And as you know, I'm less bullish on that stuff.
而且说实话,有一部分原因可能是,我过去看到过很多承诺,但结果不多,这些币涨了。
And some of it admittedly may just be, I historically have seen lots of promises, not a lot of results, and these things go up.
也跌了。
They go down.
你可以交易它们。
You can trade it.
但大多数情况下,最后都落得个pets.com的下场。
But for the most part, everything ends up at pets.com.
pets.com。
Pets.com.
人们可以出去闯荡,但最终还是会想回家,而家就是比特币。
You just people, they can go out into the wilderness, but they wanna come home, and home is Bitcoin.
这基本上就是加密行业长期以来的故事。
It is basically the the, the story of the crypto industry for a long time.
话虽如此,如果我要尽量保持理智上的诚实,换个角度来反驳这个观点,我唯一能想通的,就是觉得,好吧。
Now with that said, if I try to be as intellectually honest as possible and I flip around the table and argue against that view, pretty much the only thing that I could wrap my head around where I'm like, okay.
我最好的论据就是,用户市场在扩大,但新增用户不是人类,而是那些代理。
This would be my best argument is you have a expanding market of users not from humans, but from the agents.
所以,回到我们那个不到15人的公司,却有上百个代理,这已经是一个相当大的扩展了,不需要人类数量快速增长。
So if you go back to, you know, our company of 15 or less people and tens of, maybe 100 plus agents, that's a pretty big expansion without the humans needing to grow very quickly.
如果真是这样,那这些代理确实需要有个去处。
So if that is the case, then they do need somewhere to go.
现在的问题是,或者说我不确定的是,他们只是用稳定币和比特币,还是会去那些所谓的幽灵轨道?
Now the question or or maybe the thing I don't know is, do they just use stablecoins and bitcoin, or do they go to what you call like these ghost trails?
如果他们真的深入那些幽灵轨道,那确实会有更多的使用量,更多的采用,自然也会有资产价格上涨。
If they go long tail into the ghost rails, etcetera, then yes, you'll have a lot more usage, you'll have a lot more adoption, and just naturally, you have assets that will go up in in price.
有一个细节很少被注意到,我觉得它其实很明显,你知道谁是最积极支持AI投资的人之一,投入了数亿美元在AI上,却没人谈论他们吗?
One detail that does not get a lot of attention, which I think is hiding in plain sight, you know who one of the the most gung ho kind of supportive people of AI investing hundreds of millions of dollars in AI and no one ever talks about them?
Tether。
Tether.
为什么Tether要在AI上投这么多钱?
Why is Tethr investing so much money in AI?
我的看法是,因为Paulo完全明白正在发生什么。
My belief is because Paulo understands exactly what's happening.
如果你能把模型、隐私、代理、稳定币结合起来,那就会形成一个非常强大的组合。
And if you can create models, privacy, agents, stablecoins, that becomes a stack that's really powerful.
你知道还有谁似乎对AI和加密货币非常感兴趣吗?
You know who else seems to be very interested in AI and crypto?
弗拉德。
Vlad.
弗拉德?
Vlad?
但Stripe。
But Stripe.
我不知道你有没有看到Tempo最近的图表,我在Tempo的所有朋友都会因为提到它而兴奋,但这个图表确实令人印象深刻。
I don't know if you saw the recent chart of Tempo, and all my friends over at Tempo will be excited that I'm bringing them up, but the chart is incredibly impressive.
它正在快速增长。
It's ramping.
那么他们在做什么,Stripe是不是在某种程度上推动它并给它优势?
Now what are they doing in terms of is Stripe somehow pushing it and giving it an advantage?
是不是有什么类似种子推广之类的?
Is there some sort of, like, seeding?
你知道,我总是会想起Figure Technologies刚起步的时候。
You know, I always go back to when Figure Technologies first started.
迈克想创建一个去中心化的DTCC或清算所,但当时没有人做这个。
Mike wanted to create a decentralized DTCC or clearinghouse, and nobody was there.
那是个空壳结算。
It was a ghost settlement.
所以他就想,好吧,那我就先进入发起业务,把市场的一边做起来,然后再去拉另一边,基本上就是诱导他们。
So he's like, well, I'll get in the origination business to kind of get one side of the marketplace going, and then I'll go and get the other side and and induce them essentially.
如果真是这样,那也行。
If that's what's happening, okay.
我们可能应该明白这一点。
We we should probably understand that.
但即使是这样,采用率也在上升。
But even if that's happening, adoption is ramping.
所以你看,世界上一些最大的金融玩家似乎都在涌入加密货币,而AI也在这里融合。
And so you have some of the largest financial players in the world who all seem to be arriving at crypto and AI is merging here.
我觉得你可能是投资界里少数几个举手说,各位,未来五到十年,这种融合将是大部分不对称机会所在的人。
And I think you're probably, from the investment side, one of the only people in the world raising your hand saying, guys, this convergence is where majority of the asymmetry is going to be for the next five or ten years.
让我跟你说说为什么这件事让我这么感兴趣。
So let let me take you down why this has been so interesting to me.
我觉得如果不是2013年去了奇点大学,我可能不会在两年前下这个AI和加密货币融合的赌注。
I don't think I would have made this bet on AI and crypto merging, which is the bet I made two years ago, without having gone to Singularity University in 2013.
我讲过这个故事,但从中国回来后,鬼城的事已经过去了,基本上他们完成了,不会再推动全球增长了。
I've talked about the story, but I came back from China, and the ghost city thing was now a pass, it was basically, they're done, they're not gonna be driving global growth anymore.
回到石油的话题,最好笑的一件事是,我第一次去中国,或者可能是第三四次去的时候,油价是150美元。
One of the funniest things about, to get back to the oil thing, so one of my first trips to China, or maybe my third or fourth, oil was at a 150.
那是2008年。
That was back in 2008.
我想再说一遍。
I I I wanna say that again.
2008年,油价是150美元。
In 2008, the price of oil was 150.
今天是多少?
Where is it today?
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