中国仅凭这一步就改变了人工智能的未来！
风萧萧_Frank (2026-02-22 10:16:15) 评论 (0)中国仅凭这一步就改变了人工智能的未来！
Cyrus Janssen
https://www.youtube.com/watch?v=bkm6kCfDUCk
2026年2月9日
中国有一个赢得人工智能竞赛的秘密计划。多年来，西方一直认为出口管制和芯片制裁会阻碍中国在人工智能领域的进步。但中国悄然打造了一个更为强大的体系：一个庞大的、由国家支持的人才培养体系，旨在将人工智能大规模应用于实体经济的各个领域。
在这段视频中，我将深入分析中国的教育体系、精英“天才”培养计划以及务实的人工智能战略是如何培养出世界一流的工程师的——以及为什么就连黄仁勋和埃里克·施密特等美国顶尖专家也承认，中美差距的缩小速度远超预期。
China Just Changed the Future of AI with This One Move!
https://www.youtube.com/watch?v=bkm6kCfDUCk
Feb 9, 2026
China has a secret plan to win the AI Race. For years, the West believed export controls and chip sanctions would slow China's AI progress. But China quietly built something far more powerful: a massive, state-backed talent pipeline designed to deploy AI at scale across the real economy.
In this video, I break down how China’s education system, elite “genius” programs, and practical AI strategy are producing world-class engineers — and why even top U.S. insiders like Jensen Huang and Eric Schmidt now admit the gap is closing faster than anyone expected.
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00:00 - Did China Already Win the AI Race?
01:03 - Jensen Huang Shares Truth on China
02:20 - China's Genius Plan to Win AI
03:05 - How China Builds Elite Tech Companies
07:12 - Why China's AI is Open Source
07:56 - Why Deepseek Changed Everything
08:55 - Chinese Americans vs Chinese in China
09:52 - Rezolve AI Sponsorship -------------------------- If you'd
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Did China Already Win the AI Race?
What if I told you that China has
already won the AI race? And it didn't
happen last year or even a decade ago.
It happened because of decisions China
made more than 30 years ago. Because
here's the part most people get wrong.
Winning the AI race isn't about who
builds the fastest chips or the most
powerful computers. It's about who
builds a system that can consistently
produce the one thing artificial
intelligence needs more than anything
else. Talent. You see, for years,
Washington believed that if it could
choke off China's access to advanced
semiconductors, it could slow China down
or maybe even stop it altogether.
Silicon Valley believed China was a
copycat nation, always a step behind and
never a true threat to American
technology. But if that were true,
something like Deep Seek would have
never happened. But remarkably, [music]
it did. So today, I want to show you
what's really going on in China. Because
once you understand how the Chinese
system works, it's going to change how
you think about the future of AI and
technology. Now, to set the stage for
today's video, I want you to listen to
the words of Jensen Huang, the CEO of
Nvidia, who recently had this to say
about China. 50% of the world's AI
Jensen Huang Shares Truth on China
researchers are Chinese. 70%
of last year's AI patents are published
by China. The ecosystem of AI in China
is vibrant, rich, incredibly innovative.
I think it's like nine out of the 10 top
science and technology schools in the
world are now in China. They lead in
science and technology in many different
fields. This has completely flipped in
the last half to a decade.
We used to lead most of them. Now they
lead most of them. They have a large
population of highly qualified students.
They work incredibly hard. This is a
country with an enormous might.
This clip is important because Jensen
Huang is one of the most plugged in
insiders in the global AI industry.
Nvidia sits at the center of America's
AI ecosystem. And over the past 2 years,
Jensen has spent a significant amount of
time in China. During that time, he's
repeatedly warned US policymakers that
isolating China is a mistake and that
partnership, not confrontation, is the
only realistic path forward. He knows
how fast China is moving and he knows
what's coming next. To understand why, I
want you to look at an article from the
Financial Times titled China's Genius
China's Genius Plan to Win AI
Plan to win the AI race is paying off.
This is one of the most important
articles you can read in 2026 because it
explains something most people in the
West completely overlook. For more than
three decades, China has quietly run a
nationwide genius program designed to
identify roughly a 100,000 top high
school students every year and train
them to compete in elite international
math and science competitions. But
that's just the beginning. These
students are then fasttracked directly
into China's top universities,
institutions that are now globally
recognized as leaders in scientific
research. After graduation, many of them
go on to become the engineers, founders,
and researchers powering China's most
important technology companies. And the
results speak for themselves. Dang, the
How China Builds Elite Tech Companies
founder of Bidance and creator of Tik
Tok, came out of this system. The
leaders of China's two largest
e-commerce platforms, Tao [music] and
Pindoo, came from the same pipeline. So
did the founder of Mtoan, China's food
delivery super app. The two brothers
behind Cambercon, now one of China's
leading domestic rivals to Nvidia, were
also genius class students. And so were
the core engineers behind major AI
models at Deepseek and Alibaba's Quinn,
along with Tencent's current chief
scientists who was recruited directly
from Open AI. Honestly, I could dedicate
an entire video just to naming Chinese
tech leaders who emerged from this
pipeline. But the point is simple. China
has built an elite talent assembly line
and it operates at a scale no western
country even attempts. To understand the
magnitude of this, consider one number.
Why Chinese STEM Graduates Matter
China graduates roughly 5 million STEM
majors every year. The United States
graduates about half a million. That 10
to one difference matters more than any
single trip restriction. Students
selected into the Genius Dream are
pulled out of regular classes between
the ages of 16 and 18. While most
students grind endlessly for China's
notoriously difficult college entry
exam, the GAOC genius class students
focus almost entirely on their
competition subjects. They complete the
full high school curriculum plus large
portions of college level coursework
before they even graduate. And if they
win top national or international
competitions, they bypass the GACO
altogether and receive direct admission
into China's elite universities,
sometimes even before finishing high
school. From there, the strongest
students move into even more advanced
programs, [music] particularly in
computer science and artificial
intelligence. This is how China builds
depth, not just stars. And here's the
part most policy makers in the West fail
to grasp. You cannot sanction this. You
cannot block it with export controls.
You cannot stop a talent pipeline that
starts in high school. And for a deeper
Google CEO Shares Truth on China
insight into what's really happening, I
want you to listen carefully to the
words of Eric Schmidt, the former CEO of
Google and one of America's most
influential figures in artificial
intelligence.
I had thought that China and the United
States were competing at the peer level
in AI and that the good work that you
have done and your predecessors did to
restrict chips were slowing them down.
They're really doing something more
different than I thought. They're not
pursuing crazy AGI strategies.
Why China's AI Strategy is Different
This is a major admission from Eric
Schmidt. He's acknowledging that US chip
restrictions didn't actually stop China.
They simply forced China to change its
strategy. American AI companies are
largely chasing AGI or artificial
general intelligence. The idea of
building an AI system that can think and
reason like a human across all domains.
That's the moonshot many US companies
are betting on. China however took a
very different path. Instead of betting
everything on one futuristic
breakthrough, China is deploying AI
everywhere into manufacturing,
logistics, robotics, healthcare,
autonomous driving, energy systems, and
industrial optimization. In other words,
while the West is chasing a single
hypothetical finish line, China is using
AI as a generalpurpose tool to solve
real world problems at scale right now.
China's Long Term Plan for AI
And Eric explains exactly what China
does next.
So the result is they're very focused on
taking AI and applying it to everything.
And so the concern I have is we better
also be competing with the Chinese in
day-to-day stuff. Consumer apps, uh,
robots and so forth and so on. I saw all
the the Shanghai robotics companies and
these guys are attempting to do in
robots what they've successfully done
with electric vehicles.
Now, here's where things get really
interesting. We already know China has
achieved enormous success building the
world's most advanced electric vehicle
industry. Chinese EVs are now the
bestselling cars in the world. And China
now wants to apply that same playbook to
artificial intelligence, but not in the
way that most people expect. Once again,
listen closely as Eric Schmidt explains
China's strategy.
Why China's AI is Open Source
My own background is open source. In the
audience, you all know open source means
open code. Open weight open weights
means open training data. China is
competing with open weights and open
training data and the US is largely and
majority focused on closed weights
closed data. That means that the
majority of the world, think of it as
the belt and road initiative, are going
to use Chinese models and not American
models. This is why clips like this
matter because this isn't coming from
Chinese media. It's coming from one of
the most respected American insiders in
the AI world. And Eric Schmidt says
something remarkable here. In the
future, a large portion of the world
will be using Chinese AI models. So,
let's look at a real world case study of
how this is already happening. Exactly
Why Deepseek Changed Everything
one year ago, a Chinese AI startup
called Deep Seek shocked the global
technology world with the release of its
R1 large language model. Deep Seek
produced a world-class reasoning model
using significantly fewer advanced chips
than its American competitors and at a
fraction of the cost. While US companies
kept their models closed, DeepSeek made
its entire development process public
and open for anyone to study. And this
is one of the most important differences
between the US and China's approach to
artificial intelligence. And the
interesting part is that Deep Seek's
team was almost entirely homegrown. Its
founder was openly proud of that. Nearly
everyone on the team came from genius
classes across China. One of those
engineers, Wong Zahan, joined Deepseek
at just 21 years old. He later described
the environment as having no rigid
hierarchy and unlimited freedom to
experiment. If you walk through the top
AI labs in the United States, Open AI,
Anthropic, [music] Deep Mind, you will
find Chinese researchers everywhere. And
in many ways, today's AI competition
Chinese Americans vs Chinese in China
isn't America vers China. It's Chinese
engineers in the US versus Chinese
engineers in [music] China. That didn't
happen by accident. It happened because
China spent decades producing them. If a
European country built a system like
this, it would be praised as visionary.
If a smaller Asian nation did it, it
would be called strategic. But because
China did it, it is often dismissed as
oppressive and then ignored. And that
dismissal is dangerous because it blinds
policymakers and the public to what
actually drives technological
leadership. AI isn't won by headlines or
hype cycles. It's won by systems. The
real AI race is not about who builds the
biggest model this year. It's about who
builds the deepest bench of talent over
decades. China understood that very
early. And that's why when people say
that China is catching up in AI, they're
already too late. China didn't just
catch up. It built the pipeline first.
And as we move deeper into 2026, the
Rezolve AI Sponsorship
effects of that system aren't slowing
down, but in fact creating major
investment opportunities. And now I want
to transition to the investing portion
of today's video because there's a very
unique company operating at the
intersection of AI, e-commerce, and
payments. Three of the most important
trends shaping the digital economy.
Today's video is sponsored by Resolve
AI, which trades on the NASDAQ under the
ticker symbol RZLV.
Resolve AI is a commerce focused
generative AI company that helps
retailers and marketplaces improve how
consumers search, shop, and check out
online. Their platform uses a
specialized large language model built
specifically for commerce, powering AI
search, conversational shopping, and
integrated checkout through an SAS
model. And here is where it gets
interesting. Resolve recently closed a
$250 million oversubscribed financing
round backed by institutional investors,
giving them one of the strongest balance
sheets in AI commerce heading into 2026.
That capital is being used for mergers
and acquisitions, global enterprise
deployments, and platform scaling.
Financially, the growth profile is
aggressive. They exited 2025 with
approximately $29 million in annual
reoccurring revenue. December 2025 was
their first profitable month. For full
year 2026, Resolve is guiding toward
roughly $350 million in revenue, nearly
10 times growth year-over-year. and
they're targeting a 500 million annual
recurring revenue exit run rate by the
end of 2026. On top of that, Resolve has
partnerships with Microsoft and Google
and their proprietary AI engine,
Brainpower, has reportedly outperformed
Frontier models in commerce specific
benchmarks. And Wall Street has started
to take notice. Six analysts currently
have price targets above $7. Three
analysts have targets north of $12.
Firms including Maxim, Roth, AGP, HC
Wayright, Caner, and Northland have all
raised targets, citing ARR momentum,
scalability, and balance sheet strength.
And here's the valuation disconnect
investors are watching closely. Many
private AI peers trade at 50 to 100
times ARR, while Resolve currently
trades closer to 5 to 10 times ARR,
despite a higher growth trajectory and
public market discount. Now, if you're
interested in artificial intelligence
and want to learn more about Resolve AI,
I'll link the company's website,
investor presentation, and stock details
down in the video description so that
you can do your own research. And as
many of my long-term viewers know, I'm
very bullish on AI that delivers
practical realorld solutions. And
Resolve AI is positioning itself to
disrupt online commerce with next
generation AI. I'm excited to see how
this company develops moving forward.
And everyone, I hope you enjoyed today's
deep dive into China's AI ecosystem. I
want to thank you for making it to this
point of the video, and I want to thank
you for the continuous support you give
to this channel. I always appreciate it
and I look forward to seeing you all in
our next video
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