Why DeepSeek Will Disrupt Everything You Know About AI & What It Means For Markets | Tom Bilyeu Show
Watch on YouTubeVideo summary
The recent surge in market volatility stems from the emergence of DeepSeek, a model developed using synthetic data rather than traditional training on vast datasets. Instead of spending billions to train an AI by crawling the internet, DeepSeek utilized existing models like ChatGPT through intensive prompting to extract their internal knowledge about the world. This approach drastically reduced costs, lowering GPU requirements from 100,000 to just 2,000 and training expenses from $100 million to $5 million. Consequently, companies that previously held a competitive moat based on expensive infrastructure, such as Nvidia's chip manufacturers, face an existential threat because the advantage of owning massive data centers is being eroded by this more efficient inference-based strategy. Tom Bilyeu argues that while current AI advancements are transformative for tasks like marketing copy and legal work through better reasoning capabilities, a true breakthrough in understanding the physical world—such as zero-energy costs or advanced chemistry—is still required to solve complex problems like climate change. Achieving such feats would necessitate retraining models on fundamental physics, which is capital-intensive and likely impossible under current market conditions where investors are fleeing heavy infrastructure spending. This shift suggests that the AI race may stall in its pursuit of physical world understanding unless governments step in with massive investment, as private capital allocators will prioritize immediate returns over long-term scientific exploration if cheaper alternatives exist. The geopolitical implications of DeepSeek have been compared to Sputnik, serving as a wake-up call for America regarding China's rapid technological ascent and the potential end of US dominance in AI. The transcript notes that while there are conspiracy theories about Chinese censorship restricting access to DeepSeek, the reality is that open-source models allow anyone to download and utilize this technology instantly, negating years of head starts previously enjoyed by Western firms. This dynamic creates a "cold war" mentality where having a worthy adversary like China forces nations to work harder, smarter, and longer hours to maintain sovereignty and innovation, echoing the historical push for American excellence during the Cold War era against Russia. For entrepreneurs and investors navigating this new landscape, the advice is to stop relying on stories about massive capital expenditures as a guarantee of success and instead focus strictly on where customers are willing to pay. The market's reaction indicates that companies building large physical infrastructures may be relegated to obscurity if they cannot demonstrate immediate value through efficient inference rather than expensive training. While some view this disruption as an opportunity for fast money in the logic layer, Bilyeu warns it is currently the worst time for average investors due to extreme uncertainty; those who bet on specific technological theses risk losing everything overnight when a cheaper competitor renders their entire business model obsolete within months.
Read the full video transcript
Emergency podcast, everybody. The
markets went crazy today due to the Deep
Seek phenomenon that seems to prove that
the age of AI has shifted from training
models to a model's ability to reason.
I'll explain why I think that is very
incomplete and why this is the worst
possible time in human history to be the
average investor.
Drew, it was quite the weekend.
Man, Deep Seek took over the internet,
number one on the app store. They beat
OpenAI at number two, Gemini at number
four. I seen people tweeting about it
like crazy. So, please, we had to break
our production schedules. We shut down
the team meeting, everything.
Please explain to us what Deep Seek
actually is and why it matters in this
moment to us.
So, what Deep Seek did was go, "Well,
you guys spent the billions of dollars
to train
ChatGPT on what the world is like."
That's probably the easiest way to think
about it. What is the world like? And
what I'm going to do is something called
synthetic data. I'm just going to prompt
ChatGPT over and over and over and over
and over, like a lot. I'm going to
prompt the living daylights out of this
thing to describe to me the model that
it has hidden inside of it that it
learned by crawling all of this data.
And so, I'm not going to do the work of
building that model. I'm going to play a
game Oh, this is probably a terrible
example, but like Battleship, where I'm
like, "Is there anything here?" Or maybe
more accurately, "What's here?" When I
ask this question, what do you tell me
about the world? When I ask this
question, what do you tell me about the
world? And now, I can reduce all of
these numbers, again going from training
cost 100 million to 5 million, the GPUs
that I need to do it from 100,000 to
2,000.
And so, driving all these costs way down
just by going, "Well, you know about the
world. Let me ask you." So,
Deep Seek's relationship to ChatGPT is
the same as our relationship to ChatGPT.
So, as we prompt ChatGPT and feel like
we're getting smarter about the world,
Deep Seek was like, "Well, I'm just
going to do the same thing. I'm going to
ask it all these questions and I'm going
to build my sense of what the world is
by prompting the life out of it, which
is why you could ask Deep Seek, "What
are you?" and it would tell you that
it's ChatGPT 4.0.
Because literally, it had prompted it so
many times, it was basically like,
"Well, this is what I am." So, um
utterly fascinating, but it really does
beg the question of, "Okay, well then
are the days of training behind us? And
now this is just about, okay, you have a
picture of the world in your mind, dear
LLM, and now it's about who can look at
that picture of the world and come up
with the most compelling answers." So,
when I ask it for whatever you're asking
it to do, write a bit of marketing copy,
uh have it improve your screenplay,
which is something that I'm was
literally doing this weekend as I'm
reading all of this drama,
and getting really good at that is now
the name of the game. And if that's
true, and this is why the markets went
crazy, if that's true, all of these
companies that we've been rewarding by
buying their stock like Nvidia for
making these chips that allow people to
train, all of a sudden you don't need as
many GPUs because you can do all that
training on much less sophisticated
hardware, uh and you can still get a
really compelling answer. So, hey,
amazing gift to humanity that OpenAI
went and spent all these billions of
dollars, but now there's no moat because
that exists and I'm able to cur- query
the life out of it to build on a much
cheaper basis working model. And as long
as my reasoning is better, or at least
as good, um
I can get you all the answers that you
need. So, now it's like the market was
like, "Whoa, whoa, whoa, then our whole
investment thesis has changed." The
reason I think that this this is
incredible. I I do not want to skip past
how amazing it is now that people can
shift their focus to reasoning and
getting really good at extracting the
wisdom out of the the
trained sense of what the world is,
but would like to remind everybody that
right now what it's doing is just saying
what is the most likely next letter,
running a bunch of experiments about
which of those sequences is the most
useful, which is utterly transformative
in and of itself. But I really believe
that the next moment is going to be,
"Okay, that's awesome for copy, uh for a
lot of things like law and all that
stuff is all going to be cognitive
horsepower." Um
but I think the next moment where AI
really does the things we want to do,
like when you hear me talking about it's
going to drive energy costs to zero and
all that stuff, uh you need it to
understand the physical world, meaning
you need that same thing at the level of
physics.
Now, if I'm right about that, then
you're going to have to train the model
on the world of physics.
And I think that's going to take another
insane round of training, and that
probably shatters into a thousand
different avenues. So, understanding um
chemistry, understanding uh the way that
it works inside of a closed biological
system, understanding quantum physics,
uh
all that stuff. It it things that I
can't even begin to imagine, things I
don't even know exist that are lanes
that people need to go down to figure
out, "Okay, how does it work in this
scenario?" Um so
that kind of that shift from I'm
regurgitating internet information to
now I understand these topics. I
understand physics. I understand the
So, imagine you're an LLM and you're
running those thought experiments, but
as you go down right now, you're just
running a predictive analysis in a bunch
of different ways. What if instead you
were validating your prediction against
the known laws of physics? So, that
doesn't help you in marketing copy other
than maybe getting better at
understanding um human psychological
responses. Like, if you knew uh God,
this it ends up getting so complicated,
but just to finish the thought, if you
knew these words in that sequence
triggers this dopamine response in this
type of person. Holy hell, that would be
very powerful to know. So that you would
be going down the path of saying, "Okay,
I think this is the right next letter or
the right next word or the right next
sentence based on what I know about
neurochemistry." Now, that's a lot more
powerful than just saying this is the
most common thing that I see. And this
right now is the advantage that humans
still have is we understand like when I
read this it makes me feel some kind of
way. And if I feel some kind of way then
other people are going to feel some kind
of way. But the only way the LLM has any
sense that that is true is more people
have put that sequence of question and
answer or you know, whatever strings of
sentences, right, out into the world. So
I will assume based on volume that it's
better.
Okay.
Hopefully that gives people a complete
sense of a very simplified version of
this.
Why the markets are reacting the way
that they're reacting. Now, if I'm right
that this is all going to be upended
again by the companies that have
the balls to still be a company that's
going to spend the billions of dollars
to train on physics or you know,
chemistry or whatever the case may be.
Um,
but what scares me about that is this
moment may stop all of that investment.
And watching the market over the next
weeks, months, we're really going to see
a people like, "No, no, no. I do not
want to be holding the stock of
companies that are making huge capital
expenditures into the physical
infrastructure, Stargate anyone?"
Because that's not the play anymore. The
play for the fast money, which make no
mistake is what people are here for. The
play for the fast money is in that the
logic part of it, the inference.
Okay, if that happens
and I'm right that the next big
breakthrough will require training these
models on things like physics,
then you may get the market being shy to
do that because the second somebody
spends the billions of dollars to do all
that, you're going to get another deep
seek like technology that goes rad,
thank you for building that model of the
world, and now I'm going to extract
everything that I can from that, drive
all the costs down to next to nothing.
And so, how this will play out, I cannot
even begin to tell you. I love to look
at things as a sci-fi writer and say
that it's entirely possible that we get
into people really being
protective of that data, that they want
to wall things off. And you saw in the
conspiracy around deep seek, which is
very fascinating to watch as this is all
happening in real time. But if you went
if you go as of the time of recording
this on Monday, if you go to deep seek's
website, they have restricted access to
deep seek. Now, the initial take on this
on X was that this is because
the CCP is behind deep seek and they
launched deep seek R1 on Trump's
inauguration day as a way to say, oh,
you think you're going to ice us out?
You guys tried to make it impossible for
us to access these chips, cool, so that
we couldn't build the training models,
and we found a way around it using way
inferior technology, the ones that we
could get, made it way more efficient,
and we're still able to match you guys
within months. So, you thought you had a
year or 2-year head start on us, you
have a month, 2 months, nobody's going
to care. And so, we're now at parity.
Now, what has actually happened, at
least as it seems right now, is that
people have started attacking deep seek.
They said malicious attacks of our site,
and that's why we're restricting access.
So, yes, right now they're restricting
it to people with Chinese phone numbers,
but everybody that already has it and
downloaded already has an account can
still get one. Now, we'll find out
what's true, if this is really a CCP
play to say, "Haha, [ __ ] you
thought you were going to be able to
limit us. We dropped this on
inauguration day. Now, we're limiting
access. It's only for people in China,
but now you know it exists. Wahaha."
Uh I don't think that's going to be how
this plays out.
Mhm.
There's certainly censorship and all
that, which is a topic for another day.
Um
but
this is definitely
a wake-up call to America. Uh
so, let's talk about what Marc
Andreessen said.
As he's like, "Where else is it going?"
Can we pull up that Marc Andreessen uh
tweet about DeepSeek's R1 as AI's
Sputnik moment. I honestly I don't know
what Sputnik is, so you might have to
break this down. Give me the elementary
level for me.
Okay, so I'm sure for a lot of people.
So, um Sputnik was what? 1956? 1957?
Something like that. Uh so, Russia
launches the first
um manned satellite into space, not
satellite. They they sent somebody into
space. They didn't get him to the moon,
but I think he was the first person to
orbit. Uh and so, it was a big deal. And
it was like, "Whoa, Russia, uh communist
country, they're ahead of us. Oh my god,
they're going to win the space race."
This lit a fire under America's ass. And
I would say leads to um JFK saying,
"We're going to get to the moon by the
end of this decade, not because of DE
easy, but because it is hard." Okay, so
it's this whole core cold war mentality
of we now have an enemy, and they're
making us sweat. It's like everybody if
you're trying to do something great in
life, having a worthy adversary is
incredibly useful. But I have a feeling
that a cold war is going to be good for
humanity for sure.
Uh may even be good for America because
of this spirit of we can't lose. We
absolutely cannot let China get ahead of
us. Now, I think
people are going to forget that as of
right now, DeepSeek is open source. So,
it's on GitHub. Anybody can grab it,
they can download it.
Um
but there is something unnerving about
seeing your opponent move that fast that
you're like, "Huh, I don't know for a
head." And it's going to matter a lot
who wins the race on AI.
So, I think that this is really going to
wake us up. I have I have felt like I've
been screaming into the void for a long
time about the thing that if I really
want to piss people off, I'll just say
you need to work hard,
you need to work smart, and you need to
work long hours. If I say those three
things, it triggers the internet. And
and my ex-feed is going to be full of
people, "Hey dumbass, uh if I'm working
hard and smart, why do I have to work
long hours?" And I will just say,
"Because China's going to hand you your
ass."
You're always going to have somebody
else that's like, "Oh, they're working
hard and smart. Rad, then I'm going to
work hard, smart, and long hours."
Somebody is going to do all three, and
when you meet them, you will lose.
That's a riff on a famous quote. Um
that I think is really true, and I
really hope that this does, in the way
that Marc Andreessen is nodding to,
inspire us to [ __ ] go hard in the
paint. My message to every young person
out there, genius is a young man's game.
I am doing my best to outrun the truth
of that quote, and I don't think I'll be
able to do it.
And so, it really is going to take this
next generation to be hungry and to say,
"I don't give a [ __ ] if you torched the
uh housing market. I don't care if
you're inflating my money out into
nothing. I'm still going to win. So, bad
policy doesn't block dunks any more than
booze don't block dunks." Now, sadly
that isn't true, and bad policy will
[ __ ] you up. But, you really can, at
least still in America, I want to
believe
you can still overcome if you inspire
people to go hard enough in in And I
believe that national pride is a huge
thing for sure, but individual glory
individual sovereignty and freedom
the ability to flex hard to get laid is
still going to [ __ ] drive this insane
innovation in America.
Uh and this now reminds me of how I felt
growing up in the '80s where it was like
us versus Russia. Now, look, it was all
fake and it had us walking this razor's
edge of blowing each other up,
but it also pushed us, man. Like it was
crazy and it felt dope. It felt dope to
be like we're winning and we've got this
adversary and we've got to outperform
them and it really does rally people. It
hits them in this emotional level.
So, anyway, I feel like I've been
screaming into the void about that for a
long time cuz it doesn't come back to me
with people being like, "Yeah, yeah,
yeah, like I want to do that." And when
you get people that really want to win,
man, like they are on the field and they
are playing to [ __ ] win,
extraordinary things come out of that.
And I would say China is a very worthy
adversary. There's a quote in The Social
Network where um
Mark Zuckerberg as a character says,
"China has more
uh geniuses than we have anything."
More people with genius IQs living in
China than there are people of any kind
living in the United States.
That can't possibly be true.
It is.
Now, if that's true,
who it's going to it isn't going to be
easy, man. Like you really have a
formidable foe. And people that want to
throw racist racism on the situation,
you're going to lose because
smart and hardworking people are the
world over.
Yeah.
And the second you try to be like,
"Like paint any nation with any brush."
Woof. Mistake. Mistake. And so, yeah,
taking these guys seriously I think
would be wise.
There is still cause for optimism,
though. David Sacks played out this
tweet. Deep Seek R1 shows that the AI
race will be very competitive and that
President Trump was right to rescind the
Biden EO, which hamstrung American AI
companies without asking whether China
would do the same. Obviously not. I'm
confident in the US, but we can't be
complacent.
This This is the vibe for me.
Yeah.
And the fact that he is the AI and
cryptos are, like having that come from
him,
uh I think sets the right tone. And
here's the thing, the youth get whatever
country they want. And so it's going to
be a question. Do they want a country
that is dominant globally or not? And if
they do, they will get it because we
have got We are still the place that
people the world over want to come. We
are still the place as generation after
generation after generation of hardcore
[ __ ] And so if we can harness
that in policy and in cultural
enthusiasm,
we've got a shot.
Nice. Now we have to circle back to the
investor markets because markets across
the board were down this morning. Some
people said Nvidia was done. People were
swinging. I've seen shorts. I've seen
all types of stuff. Why did this Deep
Seek announcement have such a rampant
effect on the stock market?
Okay. So this is where I'm going to
start at the beginning and I'm going to
speed run my analysis of
uh life in 2025.
Your money's being inflated, which
either makes you know intellectually or
intuitively that saving money is a
losing strategy, which it quite
literally is. People that save money are
actively losing money. So you have to do
something with it. Some people just
spend it willy-nilly, yellow their way
through life, and they're never going to
get ahead. Uh some people will gamble in
the stock market and try to get ahead.
And so if you focus in on the fact that
we are being forced to gamble at a time
where the world is changing so rapidly
that people are just going to get kicked
in the face. And people that win one day
are going to lose the next. That That is
the reality when you are trying to use
any gambling mechanism as the mechanism
to get ahead. The way I would love to
see it, and I am a simple mind, fine,
but the way I would love to see it is
people know, number one, I save a
certain amount of my money. And then, I
take a certain portion of that, and I'm
going to try either long-term over the
stock market, I'm going to try to get
ahead, or I'm going to do day trading
just because it's fun, it's
exhilarating, and it gives me a chance
to be right and beat people. So, you
have a lot of very smart people trying
to
put together a thesis on where the world
is going, and then they're going to bet
in the markets that their thesis is
correct. Now, when you have a stable
market where changes happen over years,
hey, you can do that. You can get a nice
stable way of looking at the world that
pays off over time. Call it value
investing. When you have a world where
you get over the weekend, people's
entire view of what the future is
changes on a dime, and PS, the
magnificent seven, which have carried
the vast majority of the gains in the
stock market, are all predicated on
technology, technology
right now largely being carried by AI,
AI suddenly, over the weekend, just gets
wildly disrupted. And so, I'm sitting
there going, right now I am glad that
I'm so certain I cannot see the future
clearly that I don't make big bets in
the stock market. So, go up, go down,
I'm so conservative that it isn't going
to make a big difference to me, but it
means that I don't win big. It also
means that I don't lose big, which is
great, but I'm not winning big. So,
that's where this really gets hard
because if you go in and tell people
stop betting on the market right now,
the future is so uncertain, they're
going to say, "Well, the part of the
future that I can see pretty clearly is
that my money's being inflated to zero."
And so, they can't stop. They literally
can't stop. You'll lose your money. Uh
so, I hate that. And because the future
is changing so rapidly, this really is
the worst time in human history to be
trying to make money off of a thesis
about where things are going. For the
average investor. I get that your super
bright quants will be able to do it, but
Jesus.
Now I remember you said last week we
could barely see over the horizon. So
let alone trying to have a 30-year
portfolio based on Nvidia or based on
Tesla or based on some of these
companies where are the entire moat of
AI was it cost too much to build a data
center. So we're the best I can do it.
Elon famously spent a bunch of money and
built a data center in 6 weeks.
Everybody was kind of applauding how we
can invest massive amount of capital to
get the strategic advantage. Just right
to your point, overnight that advantage
is now gone. So is there any moat left
in technology with AI? Like they would
is this a day one rebuild if I'm open
AI? Like how do how does a company
respond to when their moat is
fundamentally removed?
Th- This is the part that I can't see. I
don't know if money, so uh I call it the
cover story of the stock market. The
cover story of the stock market, which
is just gambling but nobody wants to
call it that, is that and this is true.
So it's not a fake cover story. It just
isn't why people put their money into
it. But the result of them putting their
money into it is that these companies
are able to aggregate capital and deploy
that against something
that they want to bring to market that
they think will be incredibly valuable
to people and that people are going to
spend their money on that thing. Cool.
Okay, we want that to happen. It's
wonderful. The markets are wonderful. I
love it the most.
I just don't love the compulsory nature
of having to gamble. Okay, so now the
question becomes all the individuals
that are allocating their capital trying
to get these fast wins off the stock
market, are they going to want to invest
in companies that are making huge CapEx
outlays or not?
And if they're not, then now you get
back into and right now I I am in wild
prognostication phase. I don't know if
this is going to play out, but this is
how it hits me right now. That we're
back into the early days where it was
like we were promised flying cars and we
got 140 characters of if everybody is
just going to just reasoning just
reasoning just reasoning meaning
inference that no nobody cares about
training new models anymore. It's just
making do with the models that we
already have. That's saying that the
models are now as good as they're ever
going to be and we're just going to try
to extract more out of them.
My intuition which everybody should
discard, but my intuition is that's not
going to be the play. That until you
have a working model that can make sense
of quantum fluctuations or whatever the
[ __ ] that is, until you can map what
dark energy is,
until you can predict exactly how the
particles collided in a
like the large hadron collider or
particle accelerator, until you can
predict all of that with 100% accuracy,
you have not yet mapped out the actual
real world. And I think that's
ultimately where we want to end up, but
I can't imagine anything more capital
intensive than trying to solve those
problems. Now, could just be my
ignorance, but
I would be sad intuitively to see us
collapse back to just make use of what
we have now versus training the life out
of these. But capital allocators are
going to do what they think is going to
yield a return to them period full stop
end of story. And so this is where you
get into well that's what the government
is for and they're supposed to invest in
things like this and
I don't know man, we'll see. If you are
pushing your government to do
entitlements over everything, you just
don't have the capital left for this.
Uh
It's going to be weird. I I I have a
vision of the future
that I know will have a wrecking ball
taken to it like every 72 hours. It's
it's crazy. Like that's not literal, but
that's directionally correct. And so it
just makes it hard to build a stable
thesis.
Yeah. And then for this one I want you
to kind of take off your AI hat put your
entrepreneur hat on like how do you
outrun your competition? Like to me like
if my emote was gone over the weekend
like is all right we're let's pack it
up, guys. Like, you you put your heart
into this into this company, your
entrepreneurship journey so important to
you, and then somebody on the other side
of the world, to your point, is working
faster, longer, and harder, and then now
your strategic advantage is gone. Like,
that has to be a punch
All I can do is tell you how you think
about it as an entrepreneur. So, as an
entrepreneur, you say, "Where am I
making revenue?"
Uh in fact, here's a quick 101 for our
entrepreneurs out there. Uh man, this is
so simple to do. It's very hard It's
simple to do in theory and very hard to
do in practice. You
stop telling yourself a story.
Cuz right now, OpenAI, all of them are
telling themselves a story. Stop telling
yourself a story. Look at the reality of
how you generate money. The stock price
for a lot of these guys is so important.
And so, now our access to capital is
predicated on what's going on in the
market. Okay, well, now then we have to
do the things that the people in the
market want us to do. I don't know what
the people in the market are going to
want to do for the medium-to-long term.
The short term is all eyes on DeepSeek
and things like that. So, now we're
moving over to inference, or at least
the market is like, "I think people are
going to do that."
So, we'll see. So, you look at that. You
look at what you sell to the customer.
What is the customer actually willing to
pay for it? You look at DeepSeek. You
see that, "Ooh, it's almost as good as
um OpenAI 4.0."
And if they're doing it for uh
an absolute fraction of the cost, making
this open source, then that's not going
to survive for very long. So, I know I'm
going to have to find something else.
So, they are going to ask themselves one
question and one question only. Where
can I put the smallest investment to get
the largest return? And if DeepSeek
proves, day after day, that that's in
being really good at extracting better
knowledge from the models we already
have, all the companies that are way too
far over their skis in building out
these large physical things,
they're going to be in trouble, and they
may literally get relegated to the
dustbin, and then other people come in
and go, "All right, this is the the
thing. This is what people care about.
And so, we're going to be able to give
them that. And that's it. Like, that is
how the world will play out. What are
people willing to pay for? Period, full
stop, end of story.
Man, we shall see. Uh that's all I got.
All right, everybody. If you haven't
already, be sure to subscribe. And until
next time, my friends, be legendary.
Take care. Peace. If you like this
conversation, check out this episode to
learn more.
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