China Blocks $2B Meta's Acquisition of Manus. It's Getting Real

 The fallout from Meta's $2 billion acquisition of AI startup Manus, haz beencomplicated by the founders' detention in China and a government order to reverse the deal. 

We discuss the implications for US-China relations, the rise of China’s independent AI ecosystem, and the strategic challenges facing Meta CEO Mark Zuckerberg.

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TIMESTAMPS

0:00 Intro
1:13 China's Bold Move
3:57 The Stakes for Meta
5:15 China's Strategy Shift
12:46 China's Energy Advantage
13:38 Open Source Models
19:22 The Future of Meta and China
21:19 AI as a Bargaining Chip

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RESOURCES

Josh: https://x.com/JoshKale

Ejaaz: https://x.com/cryptopunk7213

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Not financial or tax advice. See our investment disclosures here:
https://www.bankless.com/disclosures⁠

Creators and Guests

Host

Ejaaz Ahamadeen

Host

Josh Kale

What is Limitless: An AI Podcast?

Exploring the frontiers of Technology and AI

Speaker1:
At the end of last year, Meta announced a $2 billion acquisition of an AI startup called Manus.

Speaker1:
They make AI agents very similar to OpenCore, but they were founded in China.

Speaker1:
Then in March recently, the two founders visited China on business and were

Speaker1:
told that they couldn't leave the country.

Speaker1:
Their passports were taken away from them and they were blacklisted from travel.

Speaker1:
Then today, China revealed that they have completely banned the acquisition

Speaker1:
deal by Meta and have requested that Meta reverse the entire deal.

Speaker1:
Now, this is unprecedented from China. For the last 20 years,

Speaker1:
they've happily accepted US capital, but this marks the turning point after

Speaker1:
three years where China has built their own independent AI stack and they don't

Speaker1:
need to rely on America anymore.

Speaker0:
Yeah, those two people from that meeting last month, that was the CEO and the

Speaker0:
chief scientist of Manus.

Speaker0:
They got a summons from the Chinese

Speaker0:
government body called the National Development and Reform Commission.

Speaker0:
Basically, it's the agency that runs the country's economy. They go to the meeting,

Speaker0:
they get questioned about the meta deal, and then they say, you are not allowed

Speaker0:
to leave. Now, fast forward to today.

Speaker0:
Four weeks, I will say, before Donald Trump was supposed to land in Beijing

Speaker0:
to meet with Xi Jinping, China killed the deal. And they did so in one sentence.

Speaker0:
They said, just undo it. The two men still can't leave.

Speaker0:
So now, not only are the two people stuck in China, but the deal...

Speaker0:
Meta has signed with manis is now

Speaker0:
kind of in a weird gray area now for those

Speaker0:
who aren't familiar with manis manis is meta's response

Speaker0:
to open claw open claw is the claw it is the agentic system

Speaker0:
that kind of runs your life for you it performs agentic tasks long form it has

Speaker0:
context does memory it was a big deal for meta and now meta has this problem

Speaker0:
on their hands where china is saying no when the reality is is there's already

Speaker0:
an entire singaporean office set up and the ceo of manis is on the C-suite of Meta already.

Speaker0:
So there's a lot to unpack here. There's a lot to unwind. The tension between

Speaker0:
China and the United States has never been higher.

Speaker0:
I mean, this is pretty unprecedented as it relates to the dynamics between these two countries.

Speaker1:
Yeah, this all started around the time last year that Zuck started acquiring

Speaker1:
or started doing his spending.

Speaker1:
I think he spent in total around $25 billion, $15 billion, which was spent on just one single man.

Speaker1:
But Manus was part of the spending spree. And the timeline on this is pretty

Speaker1:
insane. I've got it pulled up here.

Speaker1:
So in March in 2025, Manus launched their AI agent, right? And it's what you

Speaker1:
just mentioned. It's like its own AI operating system.

Speaker1:
And within like 24 hours or within seven days, rather, they had 2 million people on the waiting list.

Speaker1:
And people were like, I remember this, reselling invite codes for like $1,500.

Speaker0:
$1,000 is crazy.

Speaker1:
I actually tried to acquire one because this is before AI agents existed.

Speaker1:
This is before GPT and Claude had built their own agentic systems. Manus was the first.

Speaker1:
So the founders, with all the success, was like, oh, we've got to kind of kill

Speaker1:
the Chinese image so that Americans will use our product.

Speaker1:
So they ended up moving from Beijing, where they were based,

Speaker1:
to Singapore, and they raised a massive round from Benchmark Capital,

Speaker1:
which is one of the biggest funds in America, I think it was like $70 million.

Speaker1:
And within six months from then, they hit $90 million of revenue run rate.

Speaker1:
So things are looking amazing. And they thought that they'd subverted Chinese

Speaker1:
authority simply by moving their company to Singapore, which is obviously not in China.

Speaker1:
Then in March 2026, China stops the Manus co-founders from leaving the country.

Speaker1:
And today, they've blocked the entire acquisition. Now, the main question that

Speaker1:
pops into my head, Josh, and I don't know if you're able to like answer this for me is,

Speaker1:
are they able to actually do this? I thought the deal was already signed.

Speaker1:
I thought the ink had already dried.

Speaker1:
Like I'm kind of confused how they unwind a deal that's already been dealt.

Speaker0:
I think this is where there's going to be a problem, right?

Speaker0:
It's because like, like we mentioned, there is an entire Singaporean office

Speaker0:
where there's over 100 workers who are from Manus working with Meta.

Speaker0:
The CEO of Manus is on the C-suite in Meta.

Speaker0:
There's a lot of already kind of like baked in progress that has been made after this deal.

Speaker0:
And China pulling the cord creates a lot of tension. And I'm not sure where

Speaker0:
this is going to land because does Meta want to actually go to war with China

Speaker0:
to prevent this blockage from happening?

Speaker0:
Maybe. This is a huge bet for the company and a big bet on the future of the

Speaker0:
company, what this looks like.

Speaker0:
They were starting to roll this out. It was very deeply integrated. It fell apart.

Speaker0:
I don't know what's going to happen. This is actually a pretty insane story.

Speaker1:
Okay. So there are like some crazy parts of this on both sides,

Speaker1:
right? So for Meta, you've spent $2 billion.

Speaker1:
You have hundreds of employees from Manus that now are under Zuck's employment.

Speaker1:
Just to be very clear, it's like under the American company.

Speaker1:
Inc has been sealed. The deal has been done.

Speaker1:
Now, to your point, Manus is being used a lot in Meta.

Speaker1:
But specifically, if you haven't used it as a user, it's being used by advertisers.

Speaker1:
We spoke about this on a previous episode, I think like two weeks ago,

Speaker1:
where Manus is being used by advertisers to spin up their advertising projects.

Speaker1:
And it's actually resulted in a 30% quarterly jump in revenue alone,

Speaker1:
just by people using Matters.

Speaker1:
It's cut out a lot of repetitious manual tasks. So it's a very good product.

Speaker1:
And just because you haven't used it doesn't mean it isn't valuable to Meta.

Speaker1:
They're building it, it's implemented, it's core to their system.

Speaker1:
Advertising is like a lot of Meta's revenue.

Speaker1:
So now they theoretically have to unwind this. But I think the alarm bell that's

Speaker1:
ringing for me, Josh, is China's never done this before.

Speaker1:
They have never unwound a closed deal.

Speaker1:
Let me repeat that again. They've never unwound a closed deal that they have

Speaker1:
like signed off on that is all completely legal, which tells me that they are

Speaker1:
now treating these AI assets, whether you want to call them workers, researchers,

Speaker1:
The actual product itself as a kind of national asset.

Speaker1:
And they're treating it as kind of like a geopolitical asset against the US.

Speaker1:
They feel like if they don't own this thing, then the US is going to wipe them out.

Speaker1:
So I started looking at like other parts or trends And I realized China's kind

Speaker1:
of been like moving in this direction over the last couple of months.

Speaker1:
Specifically, they've like refused to use NVIDIA's GPUs to train their own AI

Speaker1:
models amongst the top Chinese AI labs.

Speaker1:
And they've started mandating that all these Chinese labs start building and

Speaker1:
using the AI models within the China itself and not really open sourcing or

Speaker1:
open sourcing only parts of it, but not the research itself to the US.

Speaker1:
So there's been this cultural shift where China now doesn't really depend on the U.S.

Speaker1:
As they had before in the past or over the last six months.

Speaker1:
They now kind of have their own independence stack. And I think that's probably

Speaker1:
part of what is playing into this story today.

Speaker0:
Yeah, man, I kind of feel so bad for Zuck because he's tried this over and over

Speaker0:
to get this agentic system.

Speaker0:
He first tried to buy Ilya's safe superintelligence, if you remember, and Ilya said no.

Speaker0:
And then he went to another OpenAI co-founder. He went to Mira Mirati's Thinking machines.

Speaker0:
She gave him a no. He reached out to perplexity. They gave him a no.

Speaker0:
And then they wound up paying $15 billion for half of scale AI just to get Alexander Wang.

Speaker0:
So they really were struggling to get some help in this agentic world.

Speaker0:
They finally acquired it through Manus, and now they're having this huge problem.

Speaker0:
And an important caveat that's probably worth mentioning is...

Speaker0:
That it's a little disingenuous and I could see why China's upset.

Speaker0:
Because, I mean, Manus started off in Beijing, then they transferred over to

Speaker0:
Hong Kong, and then they transferred over to Singapore.

Speaker0:
And this is because, I mean, American venture capitalists are not going to invest

Speaker0:
in Chinese companies and China does not want to engage with American acquisitions.

Speaker0:
So they moved to a neutral place.

Speaker0:
When they did this, I think 80 Chinese employees were laid off.

Speaker0:
All of the Weibo posts were deleted.

Speaker0:
All of the new offices were opened up. Everything was a clean slate.

Speaker0:
So the people who helped them get there, they were cut off.

Speaker0:
They started fresh in Singapore. But now China's like, wait a second. No, no, no, no, no.

Speaker0:
You started here. You are Chinese. You're coming back to us.

Speaker0:
And what a disaster for Zuck. This poor company, they can't figure it out.

Speaker0:
They're spending so much money.

Speaker0:
They haven't been able to launch a good product. And they finally got Manus,

Speaker0:
like you mentioned, who was selling these invites for thousands of dollars because it was that good.

Speaker0:
And now it's ripped out from their hands. So really brutal turn of events.

Speaker0:
And it's going to be fascinating to follow Meta and see how they react to this.

Speaker1:
Yeah, I think that the playbook that Manus founders tried to pull off,

Speaker1:
but failed at was, oh, yeah, if we just wipe ourselves or rather the premise

Speaker1:
of the actual company HQ to another country, we can evade Chinese law.

Speaker1:
But remember, China is more of a dictatorship in this sense.

Speaker1:
And they were like, hey, you can't actually do this. So we can pull your passports

Speaker1:
and unwind this entire deal because it is still effectively Chinese. It was founded in China.

Speaker1:
Now, I just want to comment on China's AI strategy in general,

Speaker1:
because I think it plays very well into this particular story today.

Speaker1:
Manus doesn't actually own any AI models.

Speaker1:
I don't know if you guys knew that or the people listening to this knew that,

Speaker1:
but they're kind of like a wrapper over a bunch of different AI models.

Speaker1:
And typically, the AI models that they would use are American AI models, right?

Speaker1:
But since, well, actually, over the last seven days, China released three AI models.

Speaker1:
I think it was DeepSeek V4, Kimi K2.6. I'm just retesting my a model knowledge here now, a Qen 3.6.

Speaker1:
And people have heard about Chinese models all along, right?

Speaker1:
They're like, oh, it's open source, but it's never as good.

Speaker1:
These three models are at parity, if not as good, as Claude Opus 4.7 and GPT 5.4.

Speaker1:
So pretty much 90% of Frontier model capability or 95% of Frontier model capability

Speaker1:
you could now access for free.

Speaker1:
100% open source, download, run it on your own devices or GPUs if you happen

Speaker1:
to have a couple laying at home for whatever reason.

Speaker1:
And they're all Chinese models. Chinese models are actually also being used

Speaker1:
in a bunch of Silicon Valley startups who can't afford to kind of run and fine

Speaker1:
tune their own models, which of course, Claude and GPT are close source.

Speaker1:
So they can't actually do that.

Speaker1:
And it takes hundreds of millions of dollars to train your own model.

Speaker1:
So the point is, Chinese models are more accessible and more easily fine tuned.

Speaker1:
So why wouldn't you use it if you could just access maybe 95% of frontier capability?

Speaker1:
And a large reason for this is because China has started forcing their AI labs

Speaker1:
to train on Chinese-made chips.

Speaker1:
Now, I just want to spend a very quick moment to explain this. DeepSeek, Moonshot,

Speaker1:
And Alibaba have been mandated by the Chinese authorities to not train their

Speaker1:
AI models on NVIDIA chips.

Speaker1:
Now, typically, America had banned China from buying the chips.

Speaker1:
That got reverted, and America was like, cool, you can have these chips.

Speaker1:
China said, nah, we're good. We're going to train our own chips to be better

Speaker1:
so that we aren't reliant on America at all.

Speaker1:
And it seems that Huawei specifically has caught up.

Speaker1:
That's what all these latest models that I just mentioned are trained on and

Speaker1:
are inferenced on. And now it seems like that gap has closed.

Speaker1:
So it doesn't really matter.

Speaker1:
This is worrying, from my perspective, at least, because America could keep tabs on China.

Speaker1:
And now they're kind of given the opportunity to leapfrog us.

Speaker1:
They have a heck ton more energy.

Speaker1:
So this is like the alarm bells ringing from today's story. Like Manus isn't

Speaker1:
just about like one startup. It's about China's entire strategy.

Speaker0:
Yeah. And I mean, everyone knows the name DeepSeek now. DeepSeek was the ones

Speaker0:
that released that paper early on, they kind of changed the game as it comes

Speaker0:
to, I guess, like reasoning and AI models, where OpenAI kind of figured it out,

Speaker0:
but DeepSeek realized it and then published it publicly and then everyone followed on.

Speaker0:
DeepSeek has always been the frontier of this open source race.

Speaker0:
And just on Friday, DeepSeek released V4, which is kind of a scary benchmark

Speaker0:
relative to the other open source models.

Speaker0:
I mean, I'm looking at the chart here and it actually performs better on a few

Speaker0:
benchmarks than GPT 5.5,

Speaker0:
which is OpenAI's brand new frontier model that just came

Speaker0:
out last week and i mean just last week alone china

Speaker0:
dropped three huge models we got deep cv4 which is

Speaker0:
probably the flagship but then there was that new quen model the new kimmy model

Speaker0:
they're publishing at a much faster cadence and you have to imagine that part

Speaker0:
of this comes from just their their boldness and willing to distill the larger

Speaker0:
models from the united states but also their capabilities to train these at

Speaker0:
an increasing rate i mean they're clearly innovating on the software side but something's working on,

Speaker0:
at this cadence with this type of power.

Speaker1:
On that note, Gavin Baker put out an amazing analysis.

Speaker1:
Did you watch the Duakesh episode where he's like grilling Jensen and Jensen

Speaker1:
just says like, I'm not a loser, like NVIDIA is not this, right?

Speaker1:
So Gavin Baker commented on this and he said, actually, Jensen makes a really

Speaker1:
good point where the chips that NVIDIA builds are specifically built with the

Speaker1:
understanding that the U.S.

Speaker1:
Has a very limited amount of energy.

Speaker1:
That's number one. Number two, that a lot of these chips are gonna be based

Speaker1:
on pre-training, which is like the part that comes, I guess,

Speaker1:
before post-training, obviously.

Speaker1:
But the point is, it's like a large training run, right? It's the bulk of the expense.

Speaker1:
Now, China took a different approach. They said, well, we're not energy-constrained.

Speaker1:
We have 3X more energy than the U.S.

Speaker1:
And also, we think that building the best AI model happens after pre-training,

Speaker1:
so in the post-training thing.

Speaker1:
Now, one thing that Dario Amode of Anthropic and Sam Altman of OpenAI have announced

Speaker1:
with their latest models, including Claude Mythos, is inference has been the

Speaker1:
key to unlock a smarter model.

Speaker1:
So they're confirming what the Chinese has also confirmed.

Speaker1:
And so the reason why Chinese chips specifically are doing so well is because

Speaker1:
they're designed around inference.

Speaker1:
So the architecture for a Chinese chip, if you were to try and train like a

Speaker1:
US model, looks very different.

Speaker1:
And it actually wouldn't work. The hardware actually kind of delineates at this point.

Speaker1:
So China, although it seems like we're competing, is building their own kind

Speaker1:
of like stack themselves that wouldn't necessarily operate or work in the US.

Speaker1:
And I think that's a story that most people like aren't addressing at this point.

Speaker1:
And we're giving China the freedom to go do that right now.

Speaker0:
Yeah, that perhaps talks to like the increased velocity, right,

Speaker0:
that they've been having is because they're not spending that much time on pre-training.

Speaker0:
They're all in on inference, all in on distillation.

Speaker0:
And we've kind of seen this, I guess,

Speaker0:
A way that you could track this back to something that we've seen is how something

Speaker0:
like GPT 5.7 Nano will actually be far more superior than the following model,

Speaker0:
even though it's cheaper and smaller.

Speaker0:
And it's because it takes advantage of this distillation. And we see this all

Speaker0:
the time where with Nano Banana, Google's image generation model,

Speaker0:
Nano Banana Nano, like the small one, was actually better than the pro one,

Speaker0:
even though it had much less model weights.

Speaker0:
And I think what we're seeing here is a lot of innovation on that inference

Speaker0:
side, on just like a faster compute.

Speaker0:
And Google's been addressing this recently. They split their most recent TPU

Speaker0:
into two, one just for pre-training, one for inference.

Speaker0:
It's clear that China is very much over-indexing on inference.

Speaker0:
And right now, that's where a lot of the gains are happening.

Speaker1:
I just wanted to pull up this post because you just reminded me of something.

Speaker1:
For those of you who say like no one uses Chinese models, the answer is just you're wrong.

Speaker1:
So Kimi K 2.6, which was released last week, and it was actually the first model

Speaker1:
of the three models that we mentioned, DeepSeek v4 was the last one,

Speaker1:
Is now the number one most used model on OpenWriter.

Speaker1:
OpenWriter is this website where you can basically get access to all the models

Speaker1:
sometimes before they actually officially release, and it can track token usage.

Speaker1:
Now, token usage is the metric that you can kind of track to figure out

Speaker1:
which model actually is worth its weight in gold and what are people using it for?

Speaker1:
OpenRapta reveals that Chinese models take the number one spot almost the entire time.

Speaker1:
And part of that is probably because a lot of the closed-source models don't

Speaker1:
want to reveal their full metrics.

Speaker1:
But the point being is the token usage of Chinese models have now surpassed U.S.

Speaker1:
Token consumption, at least from publicly available data.

Speaker1:
So the data would then indicate that these Chinese models are obviously getting

Speaker1:
not only better, but more accessible to any and all developers that want to

Speaker1:
use it. It's not just enterprises that use it.

Speaker1:
It is just open source developers or just developers that can't afford to train

Speaker1:
or pre-train their own models.

Speaker1:
So the Chinese models are way more powerful at this point. They've almost caught

Speaker1:
up to parity with the US models.

Speaker1:
I think this probably suggests, if I had to guess, that the next couple of iterations

Speaker1:
of Chinese models will probably end up leapfrogging some of the US ones.

Speaker1:
This is just a guess from my end. And so it'll probably switch to becoming closed

Speaker1:
source. I can't see China wanting to open source these things or continue to

Speaker1:
open source these models if they're doing things like unwinding Manus deals

Speaker1:
and trying to keep the assets on mainland China.

Speaker0:
Well, you know who's probably happy about these open source models doing well?

Speaker0:
And I'm like, this is a sneaky one, but probably Jensen.

Speaker0:
And after I watched that interview that he had with Dorkesh,

Speaker0:
I think one thing that became clear to me is that open source models benefit

Speaker0:
NVIDIA more than anybody else.

Speaker0:
And I think that's why NVIDIA has really been leaning in heavily to be the leader

Speaker0:
in the United States, at least in terms of open source AI,

Speaker0:
because it requires the world to train on an open hardware stack,

Speaker0:
right? If everyone is...

Speaker0:
Creating these models and they're publishing the weights, you can train them on NVIDIA GPUs.

Speaker0:
Closed source models, like someone like Anthropic or OpenAI,

Speaker0:
who we're seeing really heavily sway towards moving to TPUs or accelerators

Speaker0:
that are not made by NVIDIA, they have the ability to build this whole custom

Speaker0:
stack built on hardware that isn't NVIDIA's.

Speaker0:
And that seems to be like a real threat to the NVIDIA platform.

Speaker0:
So when Jensen got a little bit heated on the podcast, I have a,

Speaker0:
Open source really benefits them. It makes everyone want to use NVIDIA chips.

Speaker0:
The second these closed source models win, and if everything becomes closed

Speaker0:
source, there's a strong bias towards these closed loop kind of hardware stacks

Speaker0:
that NVIDIA is no longer in the loop on.

Speaker0:
And that could create a little bit of an issue for the company.

Speaker1:
Yeah, I think you hit the nail on the head. In this interview,

Speaker1:
actually, for those of you who haven't watched it, definitely go watch it.

Speaker1:
Jensen says, or was asked, hey, you dominate on GPUs. Why don't you move up

Speaker1:
the stackers and dominate there as well.

Speaker1:
You obviously know so much about how this is going to play out.

Speaker1:
And he answers very simply, I am so hyper-focused on GPUs and the hardware architecture,

Speaker1:
and this is the game I want to play, dominate, and own, right? That was his response.

Speaker1:
So he's hyper-focused on winning GPU architectures and selling the picks and

Speaker1:
shovels for this entire race.

Speaker1:
NVIDIA also announced Nemo Claw, which is their enterprise version of Open Claw.

Speaker1:
Now, you might be asking, okay, why is NVIDIA launching that?

Speaker1:
Why are they launching a bunch of open source models, which seemingly like no one is using?

Speaker1:
It's to your point, he wants to push adoption of AI in general,

Speaker1:
whatever is built on top of his NVIDIA GPUs will demand more NVIDIA GPUs in

Speaker1:
the future. And that's how he's going to make this money.

Speaker1:
And guess what happened at the end of last week, NVIDIA once again surpassed

Speaker1:
a $5 trillion market cap, they went above, then they went below.

Speaker1:
And now they're sitting pretty above it. So his plan is paying off.

Speaker1:
He couldn't explicitly say clearly on the podcast that I'm going to make a lot

Speaker1:
of money if I sell GPUs to China.

Speaker1:
Obviously, he can't say that. It's in poor taste. It would go against the philosophical

Speaker1:
argument that he was making. But that is the truth, ultimately.

Speaker0:
Yeah. So the Game of Thrones is getting a little weird now because now we're

Speaker0:
seeing direct combat in a way between China and the United States.

Speaker0:
We're seeing a lot of that happen just domestically across these companies.

Speaker0:
It is getting higher and higher stakes.

Speaker0:
And you could see as the stakes get higher, people get a little more emotionally

Speaker0:
charged. People make larger decisions.

Speaker0:
And China pulling the rug on this deal sets a pretty crazy precedent.

Speaker0:
I mean, this has never happened before where they've actually interfered with

Speaker0:
something on a material scale.

Speaker0:
$2 billion is a lot of money. and it's been months that

Speaker0:
they have been integrating madness into the platform now meta

Speaker0:
if they do decide to actually unwind this deal is kind

Speaker0:
of sitting in a little bit of an uncomfortable position because

Speaker0:
they still haven't released their product and they now

Speaker0:
don't have a clear path to getting a claw-like operating

Speaker0:
system for their software that has all this

Speaker0:
rich data about all its users so we'll be following the story closely

Speaker0:
we'll be following the china story closely we will be testing out

Speaker0:
all these models including deep seek v4 which i haven't had a chance to play

Speaker0:
around with but seems like it's pretty powerful and i think that's probably

Speaker0:
the update for for china right now it's just kind of wait and see like we have

Speaker0:
this news that came out we're going to see how meta responds we'll see how china

Speaker0:
responds and if they're actually willing to unwind this deal for the sake of

Speaker0:
doing what the chinese government wants.

Speaker1:
Yeah, can we get a response from Meta, please? It's been like 12 hours since this announcement.

Speaker1:
And I'm on the Manus website right now. It says Manus is now a part of Meta.

Speaker1:
So they haven't updated it yet.

Speaker1:
They've probably got a ton of lawyers putting together a response.

Speaker1:
But if you're listening to this from Meta and you want to give us Undisclosed

Speaker1:
information via an anonymous tip, our DMs are open. Feel free to reach out.

Speaker1:
But it'll be sad to see something like this go. I think OpenCore started a movement.

Speaker1:
Manus is probably number two. Maybe Anthropics called Cowork is number two as well.

Speaker1:
But it is a good enough product and it gave Meta the upper hand.

Speaker1:
They were actually making money from this thing. So it's sad to see it happen.

Speaker0:
I have a question for you, EJS. So Trump is going to China in like two or three

Speaker0:
weeks to meet with Xi Jinping.

Speaker0:
So how important of a topic do you think this is? Like, is this something that

Speaker0:
would be raised to that level?

Speaker0:
Is Trump going to discuss this with Xi Jinping to try to work out a deal?

Speaker0:
Like, is AI and meta that important that this acquisition go through?

Speaker0:
I think that's going to be an interesting thing to follow too.

Speaker0:
Like, does this become a topic on the debate table between the two of them?

Speaker1:
Okay. So I don't have a tinfoil hat, but I'm putting it on, right?

Speaker1:
To answer this question. Okay, cool.

Speaker1:
I think China is going to use this as a bargaining chip, pun intended,

Speaker1:
to get access to bleeding edge NVIDIA GPUs.

Speaker1:
I think this is a chess move, right?

Speaker1:
Because right now, NVIDIA is selling them GPUs, but they're like the old ones.

Speaker1:
They're the ones like in the warehouse share, the discarded items, right?

Speaker1:
They want to like keep China on a leash. I think Xi Jinping is going to go to

Speaker1:
Trump and say, hey, listen, we can do this ourselves, but we're willing to pay

Speaker1:
for your GPUs as long as you give us access to the best one. no frills.

Speaker1:
And I think he's going to use this as a bargaining chip. Otherwise,

Speaker1:
we're not going to take any more investment from America. Yeah.

Speaker0:
That could be. It's going to be an interesting dynamic. We'll see.

Speaker0:
I love that this has elevated to the global stage.

Speaker0:
This is now the single hottest topic in the world. So we will be here to follow

Speaker0:
it as always. Thank you guys so much for watching this episode.

Speaker0:
I hope you enjoyed. We had an episode that just released yesterday talking to

Speaker0:
the founder of USVC, an interview, a rare interview with the general partner

Speaker0:
from this fund that gives you access to Anthropix, SpaceX,

Speaker0:
OpenAI, a lot of the large stocks that you would want to be investing in pre-IPO.

Speaker0:
That was pretty interesting.

Speaker0:
And then we'll have a whole bunch of new episodes coming out this week.

Speaker0:
So if you enjoyed, please don't forget to share with your friends,

Speaker0:
like, comment, leave a message, give us a five-star review, whatever you want to do.

Speaker0:
But as always, thank you guys so much for watching and we will see you guys in the next one.

Speaker1:
See you guys.