Submind YouTube summaries
Thumbnail for Why DeepSeek Will Disrupt Everything You Know About AI & What It Means For Markets | Tom Bilyeu Show

Why DeepSeek Will Disrupt Everything You Know About AI & What It Means For Markets | Tom Bilyeu Show

Watch on YouTube

Video 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. This just in, an asteroid is hurtling towards Earth and it's called AI. Billionaire Chris Sacca and the dinosaurs tell us to brace for impact, all while X reminds us that Sam Altman himself