Mark Cuban on the AI Bubble: Who Actually Gets Wiped Out?

You and I lived through a couple of You and I lived through a couple of bubbles. We've seen this movie before. bubbles. We've seen this movie before. bubbles. We've seen this movie before. Um and and this wave seems very Um and and this wave seems very Um and and this wave seems very different than dot-com wave. So, let's different than dot-com wave. So, let's different than dot-com wave. So, let's talk about that. Are you concerned about talk about that. Are you concerned about talk about that. Are you concerned about a bubble? We're seeing bubbly like a bubble? We're seeing bubbly like a bubble? We're seeing bubbly like behavior people behavior people behavior people >> It's not It's not the traditional >> It's not It's not the traditional >> It's not It's not the traditional dot-com bubble, right? Cuz back then dot-com bubble, right? Cuz back then dot-com bubble, right? Cuz back then there were there were there were companies going public, getting crazy companies going public, getting crazy companies going public, getting crazy valuations, and people were buying them, valuations, and people were buying them, valuations, and people were buying them, and the stock would go up, you know, 50% and the stock would go up, you know, 50% and the stock would go up, you know, 50% 100% with companies that had no revenue, 100% with companies that had no revenue, 100% with companies that had no revenue, no traffic, no nothing, and you'd go get no traffic, no nothing, and you'd go get no traffic, no nothing, and you'd go get a cab back then, and people would be a cab back then, and people would be a cab back then, and people would be talking about them. talking about them. talking about them. >> Yeah. >> Yeah. >> Yeah. >> And you don't you don't see that at all >> And you don't you don't see that at all >> And you don't you don't see that at all today. So, it's not a bubble that's today. So, it's not a bubble that's today. So, it's not a bubble that's going to impact most people in the room, going to impact most people in the room, going to impact most people in the room, right? Or most people um across the US. right? Or most people um across the US. right? Or most people um across the US. But, it could just destroy a lot of VCs But, it could just destroy a lot of VCs But, it could just destroy a lot of VCs and a lot of funds and a lot of PE, and a lot of funds and a lot of PE, and a lot of funds and a lot of PE, right? Because they're going all in. >> [music] >> [music] >> AppLovin started with an $8 domain and >> AppLovin started with an $8 domain and >> AppLovin started with an $8 domain and no VC funding and became one of the no VC funding and became one of the no VC funding and became one of the largest ad platforms in the world. Now, largest ad platforms in the world. Now, largest ad platforms in the world. 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One cookware brand went from $4 million to $16 brand went from $4 million to $16 brand went from $4 million to $16 million, turned profitable, and is on million, turned profitable, and is on million, turned profitable, and is on pace for $80 million this year. Visit pace for $80 million this year. Visit pace for $80 million this year. Visit applovin.com/allin applovin.com/allin applovin.com/allin to launch your first campaign today. to launch your first campaign today. to launch your first campaign today. >> [music] >> [music] >> [music] >> It used to be that product managers for >> It used to be that product managers for >> It used to be that product managers for brokerages had to outperform their brokerages had to outperform their brokerages had to outperform their numbers, right? For, you know, the SPX numbers, right? For, you know, the SPX numbers, right? For, you know, the SPX or whatever. But, now you got to or whatever. But, now you got to or whatever. But, now you got to outperform to keep the money coming in. outperform to keep the money coming in. outperform to keep the money coming in. You got to outperform the the fund next You got to outperform the the fund next You got to outperform the the fund next door. And they're all in Anthropic and door. And they're all in Anthropic and door. And they're all in Anthropic and getting their outcomes in SpaceX and getting their outcomes in SpaceX and getting their outcomes in SpaceX and celebrating. But, if hits the fan, celebrating. But, if hits the fan, celebrating. But, if hits the fan, >> Yeah. >> Yeah. >> Yeah. >> Oof. >> Oof. >> Oof. >> And really is like I've only done >> And really is like I've only done >> And really is like I've only done venture for just over 10 years, and it venture for just over 10 years, and it venture for just over 10 years, and it is wild to watch so many people who is wild to watch so many people who is wild to watch so many people who deployed at the wrong time just out of deployed at the wrong time just out of deployed at the wrong time just out of business. They just invested at the peak business. They just invested at the peak business. They just invested at the peak and entry price matters. And you and I and entry price matters. And you and I and entry price matters. And you and I have been in a bunch of deals together have been in a bunch of deals together have been in a bunch of deals together and we used to get to invest in and we used to get to invest in and we used to get to invest in companies at 5 million, 10 million as companies at 5 million, 10 million as companies at 5 million, 10 million as angel investors and then all of a sudden angel investors and then all of a sudden angel investors and then all of a sudden the request was 40, 50, 60 and the the request was 40, 50, 60 and the the request was 40, 50, 60 and the product's not launched and you're like product's not launched and you're like product's not launched and you're like how does this work? how does this work? how does this work? >> Yeah, and you know, and what's happening >> Yeah, and you know, and what's happening >> Yeah, and you know, and what's happening now is the market leaders Google etc. now is the market leaders Google etc. now is the market leaders Google etc. Meta, they're borrowing hundreds of Meta, they're borrowing hundreds of Meta, they're borrowing hundreds of million billions of dollars. million billions of dollars. million billions of dollars. >> Yeah, that's interesting. >> Yeah, that's interesting. >> Yeah, that's interesting. >> And there's already a private credit >> And there's already a private credit >> And there's already a private credit problem right now, right? So you you you problem right now, right? So you you you problem right now, right? So you you you just layer on private credit like Al just layer on private credit like Al just layer on private credit like Al Capital getting all the refunds and then Capital getting all the refunds and then Capital getting all the refunds and then you you know, you have these huge you you know, you have these huge you you know, you have these huge companies that have cash flow but companies that have cash flow but companies that have cash flow but there's you know, they're they're there's you know, they're they're there's you know, they're they're spending all their cap cap cash flow on spending all their cap cap cash flow on spending all their cap cap cash flow on CapEx and then they're borrowing on top CapEx and then they're borrowing on top CapEx and then they're borrowing on top of that. of that. of that. >> 50-year bonds. >> 50-year bonds. >> 50-year bonds. >> Right, that's planning for perfection >> Right, that's planning for perfection >> Right, that's planning for perfection and that's going to be hard and we're and that's going to be hard and we're and that's going to be hard and we're building these data centers and you building these data centers and you building these data centers and you know, if there's a price performance know, if there's a price performance know, if there's a price performance curve on AI that minimizes the power curve on AI that minimizes the power curve on AI that minimizes the power requirements, there's going to be a lot requirements, there's going to be a lot requirements, there's going to be a lot of data centers that are going to be of data centers that are going to be of data centers that are going to be turned into pickleball courts. turned into pickleball courts. turned into pickleball courts. >> Interesting cuz they just can't get the >> Interesting cuz they just can't get the >> Interesting cuz they just can't get the power turned on. power turned on. power turned on. >> No, and then just the power just >> No, and then just the power just >> No, and then just the power just everybody thinks that okay, there's everybody thinks that okay, there's everybody thinks that okay, there's going to be so much more utilization and going to be so much more utilization and going to be so much more utilization and there will be, right? It'll just scale there will be, right? It'll just scale there will be, right? It'll just scale like everybody expects but there's going like everybody expects but there's going like everybody expects but there's going to be breakthroughs in technological to be breakthroughs in technological to be breakthroughs in technological breakthroughs as well. Just like we saw breakthroughs as well. Just like we saw breakthroughs as well. Just like we saw fiber back in the day. It was all about fiber back in the day. It was all about fiber back in the day. It was all about putting in fiber then it went from 1 putting in fiber then it went from 1 putting in fiber then it went from 1 gigabyte fiber to 10 to 100 gigabyte and gigabyte fiber to 10 to 100 gigabyte and gigabyte fiber to 10 to 100 gigabyte and then there wasn't a fiber problem then there wasn't a fiber problem then there wasn't a fiber problem anymore. There wasn't a bandwidth anymore. There wasn't a bandwidth anymore. There wasn't a bandwidth problem anymore. problem anymore. problem anymore. >> Quite the opposite. We had dark fiber >> Quite the opposite. We had dark fiber >> Quite the opposite. We had dark fiber that people bought. that people bought. that people bought. >> Yeah, and that's what people are doing >> Yeah, and that's what people are doing >> Yeah, and that's what people are doing on the dollar and just sitting there, on the dollar and just sitting there, on the dollar and just sitting there, right? And how is it not going to be the right? And how is it not going to be the right? And how is it not going to be the case that we don't get the same price case that we don't get the same price case that we don't get the same price performance improvements on the AI side performance improvements on the AI side performance improvements on the AI side and on the data center side? and on the data center side? and on the data center side? >> Yeah. >> Yeah. >> Yeah. >> And then with all the hate going against >> And then with all the hate going against >> And then with all the hate going against the data centers, I think that could be the data centers, I think that could be the data centers, I think that could be you know, protecting them. And I mean you know, protecting them. And I mean you know, protecting them. And I mean spending committing tens of billions of spending committing tens of billions of spending committing tens of billions of dollars for 10, 20 years going out, dollars for 10, 20 years going out, dollars for 10, 20 years going out, yeah. I mean nobody can predict that yeah. I mean nobody can predict that yeah. I mean nobody can predict that well. well. well. >> I mean, you're >> I mean, you're >> I mean, you're used the word pricing to perfection, I used the word pricing to perfection, I used the word pricing to perfection, I think, earlier in the conversation and think, earlier in the conversation and think, earlier in the conversation and that's really what's happening. I mean, that's really what's happening. I mean, that's really what's happening. I mean, you have to have a thesis that you have to have a thesis that you have to have a thesis that we're going to put a hundred, you know, we're going to put a hundred, you know, we're going to put a hundred, you know, Open AI, uh, a hundred billion dollars Open AI, uh, a hundred billion dollars Open AI, uh, a hundred billion dollars to work to work to work and that's going to come back not just and that's going to come back not just and that's going to come back not just in revenue, but it has to come back in in revenue, but it has to come back in in revenue, but it has to come back in earnings. earnings. earnings. >> A margin dollars, yeah. >> A margin dollars, yeah. >> A margin dollars, yeah. >> Yeah, it has to be profitable. >> Yeah, it has to be profitable. >> Yeah, it has to be profitable. >> Yes. And you just don't know. >> Yes. And you just don't know. >> Yes. And you just don't know. >> You don't. >> You don't. >> You don't. >> Now, and I'll tell you the other in >> Now, and I'll tell you the other in >> Now, and I'll tell you the other in terms the corollary for, um, terms the corollary for, um, terms the corollary for, um, bubbles, right? In this particular bubbles, right? In this particular bubbles, right? In this particular bubble cuz it's so driven by private bubble cuz it's so driven by private bubble cuz it's so driven by private capital, there should be a lot more capital, there should be a lot more capital, there should be a lot more companies going public. Not at the companies going public. Not at the companies going public. Not at the SpaceX level for not Open AI, not SpaceX level for not Open AI, not SpaceX level for not Open AI, not Anthropic, but the hundred million Anthropic, but the hundred million Anthropic, but the hundred million dollar, um, dollar, um, dollar, um, IPO. IPO. IPO. >> Yeah. >> Yeah. >> Yeah. >> Because if AI does what AI knows we all >> Because if AI does what AI knows we all >> Because if AI does what AI knows we all we we all know what it'll do in terms of we we all know what it'll do in terms of we we all know what it'll do in terms of disruption, disruption, disruption, >> Yeah. >> Yeah. >> Yeah. >> then you want to have, um, some sort of, >> then you want to have, um, some sort of, >> then you want to have, um, some sort of, um, currency that allows you to buy all um, currency that allows you to buy all um, currency that allows you to buy all those companies. Like you guys were those companies. Like you guys were those companies. Like you guys were talking about buying different, um, talking about buying different, um, talking about buying different, um, legal companies, legal companies, legal companies, >> Yeah. >> Yeah. >> Yeah. >> right? Well, if you don't have that >> right? Well, if you don't have that >> right? Well, if you don't have that currency, the stock is currency, currency, the stock is currency, currency, the stock is currency, >> Yeah. >> Yeah. >> Yeah. >> you're going to have to go out and raise >> you're going to have to go out and raise >> you're going to have to go out and raise money to do it and if anything happens, money to do it and if anything happens, money to do it and if anything happens, and that money is not cheap. That money and that money is not cheap. That money and that money is not cheap. That money is really, really expensive versus if is really, really expensive versus if is really, really expensive versus if you go out and you do a hundred million you go out and you do a hundred million you go out and you do a hundred million dollar IPO or a fifty million dollar IPO dollar IPO or a fifty million dollar IPO dollar IPO or a fifty million dollar IPO and you can do a secondary or whatever and you can do a secondary or whatever and you can do a secondary or whatever as many times as you need if you're as many times as you need if you're as many times as you need if you're performing, but the minute that company performing, but the minute that company performing, but the minute that company that you're competing with that is a that you're competing with that is a that you're competing with that is a legacy business can't keep up or there's legacy business can't keep up or there's legacy business can't keep up or there's some other, um, company that has domain some other, um, company that has domain some other, um, company that has domain expertise that you need or data that you expertise that you need or data that you expertise that you need or data that you need like you guys were talking about, need like you guys were talking about, need like you guys were talking about, >> Yeah. >> Yeah. >> Yeah. >> you want to be in a position to buy >> you want to be in a position to buy >> you want to be in a position to buy them. them. them. >> Yes. That is incredible currency. >> Yes. That is incredible currency. >> Yes. That is incredible currency. >> thinking. Yeah, nobody is forward >> thinking. Yeah, nobody is forward >> thinking. Yeah, nobody is forward thinking like that at all and I'm like thinking like that at all and I'm like thinking like that at all and I'm like trying to tell my, um, trying to tell my, um, trying to tell my, um, my portfolio companies, go public, my portfolio companies, go public, my portfolio companies, go public, mother go public. They just don't think mother go public. They just don't think mother go public. They just don't think that's the right thing to do. that's the right thing to do. that's the right thing to do. >> Well, and M&A is, you know, not to make >> Well, and M&A is, you know, not to make >> Well, and M&A is, you know, not to make this political, but, you know, this political, but, you know, this political, but, you know, when you're an entrepreneur, you have to when you're an entrepreneur, you have to when you're an entrepreneur, you have to play the game on the field. M&A was off play the game on the field. M&A was off play the game on the field. M&A was off the table. Lina Khan had a certain the table. Lina Khan had a certain the table. Lina Khan had a certain perspective, which was we have to be perspective, which was we have to be perspective, which was we have to be like precogs in Minority Report. We have like precogs in Minority Report. We have like precogs in Minority Report. We have to predict who's going to be a monopoly to predict who's going to be a monopoly to predict who's going to be a monopoly in the future and stop them now. It's in the future and stop them now. It's in the future and stop them now. It's like, okay. like, okay. like, okay. >> with to compete with China and >> with to compete with China and >> with to compete with China and everything else that's going on everything else that's going on everything else that's going on globally. globally. globally. >> Yeah, 4 years of no acquisitions. I >> Yeah, 4 years of no acquisitions. I >> Yeah, 4 years of no acquisitions. I mean, the mean, the mean, the people I talked to who were in corporate people I talked to who were in corporate people I talked to who were in corporate development were like, we've been told development were like, we've been told development were like, we've been told to stand down to stand down to stand down >> Yeah. >> Yeah. >> Yeah. >> because it's not worth the breakup. >> because it's not worth the breakup. >> because it's not worth the breakup. >> we are right now, >> we are right now, >> we are right now, but even so, right? It's you know, with but even so, right? It's you know, with but even so, right? It's you know, with mergers and acquisitions at that scale, mergers and acquisitions at that scale, mergers and acquisitions at that scale, fine. But if AI does what we know it fine. But if AI does what we know it fine. But if AI does what we know it will do, the companies that are will do, the companies that are will do, the companies that are disruptive don't have to be enormous disruptive don't have to be enormous disruptive don't have to be enormous companies. companies. companies. >> No. >> No. >> No. >> So you don't want to have to always >> So you don't want to have to always >> So you don't want to have to always raise cash to go out there and do that. raise cash to go out there and do that. raise cash to go out there and do that. >> cuz like back in the day, back with >> cuz like back in the day, back with >> cuz like back in the day, back with broadcast.com, we bought like five broadcast.com, we bought like five broadcast.com, we bought like five companies just for stock. companies just for stock. companies just for stock. >> Yes. And then there was always a bigger >> Yes. And then there was always a bigger >> Yes. And then there was always a bigger fish to come along. fish to come along. fish to come along. >> were happy to, you know, be acquired >> were happy to, you know, be acquired >> were happy to, you know, be acquired >> Yahoo. >> Yahoo. >> Yahoo. >> Yeah. >> Yeah. >> Yeah. >> Yeah, the famous scholar, >> Yeah, the famous scholar, >> Yeah, the famous scholar, if you were if you were if you were a Claude employee, if you're at a Claude employee, if you're at a Claude employee, if you're at Anthropic or at OpenAI, is it time to Anthropic or at OpenAI, is it time to Anthropic or at OpenAI, is it time to start thinking about the collar? Trying start thinking about the collar? Trying start thinking about the collar? Trying to think about, yeah, to think about, yeah, to think about, yeah, >> Yeah, you know, I collared my stock >> Yeah, you know, I collared my stock >> Yeah, you know, I collared my stock because how rich do I need to be? because how rich do I need to be? because how rich do I need to be? >> Right. >> Right. >> Right. >> You know, and if you if you're able to >> You know, and if you if you're able to >> You know, and if you if you're able to change your life, if I work for any change your life, if I work for any change your life, if I work for any SpaceX, any of them, whatever, I'd be SpaceX, any of them, whatever, I'd be SpaceX, any of them, whatever, I'd be like, you know, somebody put together a like, you know, somebody put together a like, you know, somebody put together a collar for me, you know, because I just collar for me, you know, because I just collar for me, you know, because I just need to be protected, save part of my need to be protected, save part of my need to be protected, save part of my upside, but just cover my downside. upside, but just cover my downside. upside, but just cover my downside. >> Yeah, and when you did it, you had to >> Yeah, and when you did it, you had to >> Yeah, and when you did it, you had to like actually orchestrate that, right? like actually orchestrate that, right? like actually orchestrate that, right? It didn't exist as a product. It didn't exist as a product. It didn't exist as a product. >> didn't. So I had to actually create an >> didn't. So I had to actually create an >> didn't. So I had to actually create an index of internet stocks. I had Goldman index of internet stocks. I had Goldman index of internet stocks. I had Goldman Sachs create an index of internet stocks Sachs create an index of internet stocks Sachs create an index of internet stocks that I thought sucked. And then I that I thought sucked. And then I that I thought sucked. And then I shorted that index cuz we and we had to shorted that index cuz we and we had to shorted that index cuz we and we had to follow all the laws, and I just had to follow all the laws, and I just had to follow all the laws, and I just had to have that short in place until I was have that short in place until I was have that short in place until I was able to do a real collar in the market able to do a real collar in the market able to do a real collar in the market on my Yahoo stock, and on my Yahoo stock, and on my Yahoo stock, and >> I lost tens of millions of dollars on >> I lost tens of millions of dollars on >> I lost tens of millions of dollars on that short. that short. that short. >> Yeah. >> Yeah. >> Yeah. >> But I made up for it. >> But I made up for it. >> But I made up for it. >> Yeah, I mean the one of the great trades >> Yeah, I mean the one of the great trades >> Yeah, I mean the one of the great trades of all time. What do you think of all time. What do you think of all time. What do you think the the the the the the this wave of capabilities in AI. I'm this wave of capabilities in AI. I'm this wave of capabilities in AI. I'm sure you play with it cuz you've always sure you play with it cuz you've always sure you play with it cuz you've always been a tinker. So maybe what are you been a tinker. So maybe what are you been a tinker. So maybe what are you tinkering with and what do you think um tinkering with and what do you think um tinkering with and what do you think um is going to be the most world changing, is going to be the most world changing, is going to be the most world changing, you know, in the next 5 10 years for you know, in the next 5 10 years for you know, in the next 5 10 years for entrepreneurs, for society? Where do you entrepreneurs, for society? Where do you entrepreneurs, for society? Where do you look at it and go, "Hey, look at it and go, "Hey, look at it and go, "Hey, >> This is totally going to work backwards. >> This is totally going to work backwards. >> This is totally going to work backwards. >> Yeah. >> Yeah. >> Yeah. >> Okay. >> Okay. >> Okay. >> So AI is a lot harder to implement than >> So AI is a lot harder to implement than >> So AI is a lot harder to implement than anybody expected. anybody expected. anybody expected. >> For sure. >> For sure. >> For sure. >> Right? You know, you can do an agent >> Right? You know, you can do an agent >> Right? You know, you can do an agent pretty straightforward, right? You can pretty straightforward, right? You can pretty straightforward, right? You can prompt away, you know, we cheated on prompt away, you know, we cheated on prompt away, you know, we cheated on test, we you know, cheated at work, you test, we you know, cheated at work, you test, we you know, cheated at work, you know, did projects, improved our know, did projects, improved our know, did projects, improved our productivity a hundred X, right? All productivity a hundred X, right? All productivity a hundred X, right? All easy peasy and we just assumed, you easy peasy and we just assumed, you easy peasy and we just assumed, you know, at the enterprise it'd be just as know, at the enterprise it'd be just as know, at the enterprise it'd be just as easy. It's hard. easy. It's hard. easy. It's hard. >> Yeah. >> Yeah. >> Yeah. >> And it's terrifying. And not terrifying >> And it's terrifying. And not terrifying >> And it's terrifying. And not terrifying for employees because Darien everybody's for employees because Darien everybody's for employees because Darien everybody's saying 50% of white collar people are saying 50% of white collar people are saying 50% of white collar people are going to lose their jobs. Here we are going to lose their jobs. Here we are going to lose their jobs. Here we are two years later they said within two years later they said within two years later they said within [clears throat] two years and you know, [clears throat] two years and you know, [clears throat] two years and you know, employment still growing, people are employment still growing, people are employment still growing, people are hiring, we need more AI literate people, hiring, we need more AI literate people, hiring, we need more AI literate people, right? So CEOs have no clue what is right? So CEOs have no clue what is right? So CEOs have no clue what is going on. None whatsoever and that's not going on. None whatsoever and that's not going on. None whatsoever and that's not going to change, right? And so, you going to change, right? And so, you going to change, right? And so, you know, trying to explain to them that know, trying to explain to them that know, trying to explain to them that you need to add a harness to the you you need to add a harness to the you you need to add a harness to the you know, all the know, all the know, all the no chance, no chance, no chance, >> Right? >> Right? >> Right? >> And if you think about it from an AI >> And if you think about it from an AI >> And if you think about it from an AI perspective, if AI we're talking about, perspective, if AI we're talking about, perspective, if AI we're talking about, you know, AGI and we're talking about you know, AGI and we're talking about you know, AGI and we're talking about taking over the world, taking over the world, taking over the world, if you can't you if you need to have if you can't you if you need to have if you can't you if you need to have forward deployed engineers, forward deployed engineers, forward deployed engineers, that tells you all you need to know that tells you all you need to know that tells you all you need to know about AI cuz by definition you should about AI cuz by definition you should about AI cuz by definition you should just be able to ask AI to do what I need just be able to ask AI to do what I need just be able to ask AI to do what I need you to do and ask and tell me how to you to do and ask and tell me how to you to do and ask and tell me how to implement it, right? Yet here you have implement it, right? Yet here you have implement it, right? Yet here you have Microsoft hiring 6,000 people, right? Microsoft hiring 6,000 people, right? Microsoft hiring 6,000 people, right? You have Anthropic, Open AI all saying You have Anthropic, Open AI all saying You have Anthropic, Open AI all saying they're going to deploy to these they're going to deploy to these they're going to deploy to these companies, which tells you AI is hard. companies, which tells you AI is hard. companies, which tells you AI is hard. And then you have Alex Karp from And then you have Alex Karp from And then you have Alex Karp from Palantir freaking out saying, "How can Palantir freaking out saying, "How can Palantir freaking out saying, "How can you give your alpha to these companies you give your alpha to these companies you give your alpha to these companies when in my opinion he's just saying when in my opinion he's just saying when in my opinion he's just saying they're doing what we're doing, right? they're doing what we're doing, right? they're doing what we're doing, right? We're We're all about forward deployed We're We're all about forward deployed We're We're all about forward deployed engineers at Palantir and they're doing engineers at Palantir and they're doing engineers at Palantir and they're doing the same thing." the same thing." the same thing." >> Uh it >> Uh it >> Uh it it again it's a great insight because it again it's a great insight because it again it's a great insight because you can if you're using it as a search you can if you're using it as a search you can if you're using it as a search engine or if you're making your little engine or if you're making your little engine or if you're making your little agent to you know go to your cron job, agent to you know go to your cron job, agent to you know go to your cron job, okay, fair enough it's it's going to okay, fair enough it's it's going to okay, fair enough it's it's going to work. You need to be a have a little bit work. You need to be a have a little bit work. You need to be a have a little bit of systems thinking, but when you start of systems thinking, but when you start of systems thinking, but when you start putting into the enterprise and you know putting into the enterprise and you know putting into the enterprise and you know if this is mission critical work. if this is mission critical work. if this is mission critical work. >> the little bit of systems thinking >> the little bit of systems thinking >> the little bit of systems thinking because that's the second part. I'm not because that's the second part. I'm not because that's the second part. I'm not trying to on AI. I love it. I trying to on AI. I love it. I trying to on AI. I love it. I invest in it. It's going to be amazing. invest in it. It's going to be amazing. invest in it. It's going to be amazing. It's the most impactful technology that It's the most impactful technology that It's the most impactful technology that we've ever seen and may ever see, right? we've ever seen and may ever see, right? we've ever seen and may ever see, right? But try going into Claude or ChatGPT and But try going into Claude or ChatGPT and But try going into Claude or ChatGPT and saying, "Okay, I just want you to do saying, "Okay, I just want you to do saying, "Okay, I just want you to do this search for Jason Calacanis this search for Jason Calacanis this search for Jason Calacanis investments and I want you to report and investments and I want you to report and investments and I want you to report and I want you to email it to me every I want you to email it to me every I want you to email it to me every week." week." week." >> Yeah. >> Yeah. >> Yeah. >> It can't do it. >> It can't do it. >> It can't do it. >> Can't do it. >> Can't do it. >> Can't do it. >> And then it says, "Okay, would you like >> And then it says, "Okay, would you like >> And then it says, "Okay, would you like for me to do an an agent that gives you for me to do an an agent that gives you for me to do an an agent that gives you alerts?" And then you say, "Sure." And alerts?" And then you say, "Sure." And alerts?" And then you say, "Sure." And then you have to know how to program then you have to know how to program then you have to know how to program because it either gives you a JSON file because it either gives you a JSON file because it either gives you a JSON file or it gives you you know code. or it gives you you know code. or it gives you you know code. >> And it comes out slop and then >> And it comes out slop and then >> And it comes out slop and then >> Yeah, then you have to correct. You have >> Yeah, then you have to correct. You have >> Yeah, then you have to correct. You have to reiterate. You know, if you want to to reiterate. You know, if you want to to reiterate. You know, if you want to say, you know, "Hey, let me load a say, you know, "Hey, let me load a say, you know, "Hey, let me load a picture in and you tell me if I'm hot or picture in and you tell me if I'm hot or picture in and you tell me if I'm hot or not." Or is this girl hot? What should I not." Or is this girl hot? What should I not." Or is this girl hot? What should I say to her? You know, or business say to her? You know, or business say to her? You know, or business versions, great. versions, great. versions, great. >> Yeah. >> Yeah. >> Yeah. >> Right? But AI is not going to you know >> Right? But AI is not going to you know >> Right? But AI is not going to you know take away 50% of the jobs. There's just take away 50% of the jobs. There's just take away 50% of the jobs. There's just so much it can't do that regular people so much it can't do that regular people so much it can't do that regular people need it to do, need it to do, need it to do, >> Yeah. >> Yeah. >> Yeah. >> right? Now, does that create >> right? Now, does that create >> right? Now, does that create opportunity? Enormous opportunity, opportunity? Enormous opportunity, opportunity? Enormous opportunity, right? So like I'm an investor in right? So like I'm an investor in right? So like I'm an investor in Lovable and we were here this morning Lovable and we were here this morning Lovable and we were here this morning talking and um talking and um talking and um Anton was saying that Anton was saying Anton was saying that Anton was saying Anton was saying that Anton was saying that um they people are using lovable to that um they people are using lovable to that um they people are using lovable to create 770,000 create 770,000 create 770,000 applications a week. applications a week. applications a week. A week. A week. A week. >> Yeah. >> Yeah. >> Yeah. >> Right? And that only 30% of their >> Right? And that only 30% of their >> Right? And that only 30% of their business is in the US. business is in the US. business is in the US. And only um 20% is engineers. And what's And only um 20% is engineers. And what's And only um 20% is engineers. And what's happening is entrepreneurs, to answer happening is entrepreneurs, to answer happening is entrepreneurs, to answer your question about where it's going, your question about where it's going, your question about where it's going, right? If you're an entrepreneur, like right? If you're an entrepreneur, like right? If you're an entrepreneur, like he was saying before, there were there's he was saying before, there were there's he was saying before, there were there's no better time to be an entrepreneur. no better time to be an entrepreneur. no better time to be an entrepreneur. He's He nailed it, right? Because that's He's He nailed it, right? Because that's He's He nailed it, right? Because that's where AI is the most impactful. No where AI is the most impactful. No where AI is the most impactful. No matter where you are in the world, they matter where you are in the world, they matter where you are in the world, they have big utilization in Brazil, India, have big utilization in Brazil, India, have big utilization in Brazil, India, right? If you're in France, US, right? If you're in France, US, right? If you're in France, US, wherever. You know, like I gave I gave wherever. You know, like I gave I gave wherever. You know, like I gave I gave it a prompt. Like I said, cuz I wanted it a prompt. Like I said, cuz I wanted it a prompt. Like I said, cuz I wanted to see what it would take. I was like, to see what it would take. I was like, to see what it would take. I was like, okay, we're going to create an imaginary okay, we're going to create an imaginary okay, we're going to create an imaginary company that has a button that can company that has a button that can company that has a button that can record 24-hour video, and then I want it record 24-hour video, and then I want it record 24-hour video, and then I want it to be able to send it to me every 24 to be able to send it to me every 24 to be able to send it to me every 24 hours, and I want you to create a patent hours, and I want you to create a patent hours, and I want you to create a patent and a business plan, and tell me what and a business plan, and tell me what and a business plan, and tell me what licensing or whatever I need. licensing or whatever I need. licensing or whatever I need. 12 minutes. 12 minutes. 12 minutes. >> Yeah. >> Yeah. >> Yeah. Wow. Wow. Wow. >> Like dude, just know we've started a >> Like dude, just know we've started a >> Like dude, just know we've started a tons of businesses. tons of businesses. tons of businesses. >> Yeah, 6 months to get a prototype, 12 >> Yeah, 6 months to get a prototype, 12 >> Yeah, 6 months to get a prototype, 12 months to launch it. months to launch it. months to launch it. >> Yes. >> Yes. >> Yes. >> And then you have to >> And then you have to >> And then you have to >> And then I asked for a bill of materials >> And then I asked for a bill of materials >> And then I asked for a bill of materials and the source companies. Like the basic and the source companies. Like the basic and the source companies. Like the basic stuff to be that the blocking and stuff to be that the blocking and stuff to be that the blocking and tackling stuff that every company has to tackling stuff that every company has to tackling stuff that every company has to do at you know, when you're setting it do at you know, when you're setting it do at you know, when you're setting it up and early in its life cycle. up and early in its life cycle. up and early in its life cycle. >> Done. >> Done. >> Done. >> Done. And even if it's wrong. So what? >> Done. And even if it's wrong. So what? >> Done. And even if it's wrong. So what? Because the one thing you and I both Because the one thing you and I both Because the one thing you and I both know and everybody in the room should know and everybody in the room should know and everybody in the room should know, every single know, every single know, every single business plan ever written in the business plan ever written in the business plan ever written in the history of business plans history of business plans history of business plans >> Yeah. >> Yeah. >> Yeah. >> is wrong. >> is wrong. >> is wrong. >> Of course. Yeah, it's a it's a thought >> Of course. Yeah, it's a it's a thought >> Of course. Yeah, it's a it's a thought exercise that at least gives you some exercise that at least gives you some exercise that at least gives you some sort of direction you're going in. sort of direction you're going in. sort of direction you're going in. >> Yeah, and it's some sort of guideline >> Yeah, and it's some sort of guideline >> Yeah, and it's some sort of guideline and a template for you, right? But it's and a template for you, right? But it's and a template for you, right? But it's wrong. wrong. wrong. >> Yeah, we're going to iterate. >> Yeah, we're going to iterate. >> Yeah, we're going to iterate. >> So what if the AI is wrong? If the model >> So what if the AI is wrong? If the model >> So what if the AI is wrong? If the model is wrong, you know? Cuz it's you're is wrong, you know? Cuz it's you're is wrong, you know? Cuz it's you're going to learn and you're going to going to learn and you're going to going to learn and you're going to iterate, but it's still iterate, but it's still iterate, but it's still again, all this talk about taking again, all this talk about taking again, all this talk about taking white-collar jobs is ridiculous when it white-collar jobs is ridiculous when it white-collar jobs is ridiculous when it can't even do the basic can't even do the basic can't even do the basic >> Yeah. >> Yeah. >> Yeah. >> right? And you have to have, like you >> right? And you have to have, like you >> right? And you have to have, like you said, a programming mindset said, a programming mindset said, a programming mindset >> Yeah. >> Yeah. >> Yeah. >> in order to be able to iterate and >> in order to be able to iterate and >> in order to be able to iterate and figure it out. And like even you would figure it out. And like even you would figure it out. And like even you would think if AI is advanced as we want to think if AI is advanced as we want to think if AI is advanced as we want to believe AI is right now, all the errors believe AI is right now, all the errors believe AI is right now, all the errors that we get when we ask it to do a that we get when we ask it to do a that we get when we ask it to do a project, it would learn from all those project, it would learn from all those project, it would learn from all those errors errors errors >> Yeah. >> Yeah. >> Yeah. >> and even have "Hey, I'm Claude. I see >> and even have "Hey, I'm Claude. I see >> and even have "Hey, I'm Claude. I see you have a problem with this, right?" you have a problem with this, right?" you have a problem with this, right?" And it failed on these three attempts. And it failed on these three attempts. And it failed on these three attempts. Let me just tell you what 97.6% of the Let me just tell you what 97.6% of the Let me just tell you what 97.6% of the other people who ran into this did, other people who ran into this did, other people who ran into this did, right? And then it would fix it for you. right? And then it would fix it for you. right? And then it would fix it for you. It would tell you. It doesn't even do It would tell you. It doesn't even do It would tell you. It doesn't even do that. It just says failed, right? Or it that. It just says failed, right? Or it that. It just says failed, right? Or it says whatever. says whatever. says whatever. You know, again, AI is amazing and You know, again, AI is amazing and You know, again, AI is amazing and particularly for programmers, it's particularly for programmers, it's particularly for programmers, it's game-changing. game-changing. game-changing. >> Yeah, when you have a narrow data set >> Yeah, when you have a narrow data set >> Yeah, when you have a narrow data set like code or legal like code or legal like code or legal >> It's just math. It's math. >> It's just math. It's math. >> It's just math. It's math. >> Yeah, and it's just math, right? >> Yeah, and it's just math, right? >> Yeah, and it's just math, right? Basic data, right? But when you want it Basic data, right? But when you want it Basic data, right? But when you want it to do when normal people to do when normal people to do when normal people anywhere in the world want to use it for anywhere in the world want to use it for anywhere in the world want to use it for normal stuff. normal stuff. normal stuff. Great. You start a business, great. But Great. You start a business, great. But Great. You start a business, great. But if you want to start getting advanced, if you want to start getting advanced, if you want to start getting advanced, it's like figuring out PowerPoint used it's like figuring out PowerPoint used it's like figuring out PowerPoint used to be or Excel, right? You always have to be or Excel, right? You always have to be or Excel, right? You always have to have your Excel expert, you know, or to have your Excel expert, you know, or to have your Excel expert, you know, or your PowerPoint your PowerPoint your PowerPoint >> company >> company >> company >> Yeah, or whoever that you knew, right? >> Yeah, or whoever that you knew, right? >> Yeah, or whoever that you knew, right? Or there would be companies built um I Or there would be companies built um I Or there would be companies built um I invested in like a company that invested in like a company that invested in like a company that Slideshare that all they did was have Slideshare that all they did was have Slideshare that all they did was have PowerPoint templates that you could PowerPoint templates that you could PowerPoint templates that you could download and redo. AI's not even that download and redo. AI's not even that download and redo. AI's not even that advanced for, you know, once you get to advanced for, you know, once you get to advanced for, you know, once you get to the second level. And so it creates so the second level. And so it creates so the second level. And so it creates so much opportunity for anybody to walk much opportunity for anybody to walk much opportunity for anybody to walk into a small, medium-size, even large into a small, medium-size, even large into a small, medium-size, even large business and say, "Hey, I understand AI. business and say, "Hey, I understand AI. business and say, "Hey, I understand AI. I have a basic computer background or I have a basic computer background or I have a basic computer background or better." And so all these fails that better." And so all these fails that better." And so all these fails that you're running into across your your you're running into across your your you're running into across your your your company big or small, I can help your company big or small, I can help your company big or small, I can help you fix them. you fix them. you fix them. >> Mhm. >> Mhm. >> Mhm. >> Because what AI can do once those issues >> Because what AI can do once those issues >> Because what AI can do once those issues are fixed are fixed are fixed is phenomenal. is phenomenal. is phenomenal. >> Yeah. >> Yeah. >> Yeah. >> But even better if you're thinking as an >> But even better if you're thinking as an >> But even better if you're thinking as an entrepreneur to start a business, entrepreneur to start a business, entrepreneur to start a business, those things will eventually break. those things will eventually break. those things will eventually break. Agents get bored, right? And they drift. Agents get bored, right? And they drift. Agents get bored, right? And they drift. Because as the underlying um let large Because as the underlying um let large Because as the underlying um let large language model starts to change, language model starts to change, language model starts to change, the way it was originally programmed the way it was originally programmed the way it was originally programmed doesn't match with the large language doesn't match with the large language doesn't match with the large language model turned into, right? You see what model turned into, right? You see what model turned into, right? You see what I'm saying? I'm saying? I'm saying? >> Yeah. >> Yeah. >> Yeah. >> And so you and you even wrote something >> And so you and you even wrote something >> And so you and you even wrote something about this, right? Where it's taking about this, right? Where it's taking about this, right? 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Visit northwestregisteredagent.com/all in free and start using free resources in free and start using free resources to build your business today. >> I'm trying to get the whole firm to be >> I'm trying to get the whole firm to be AI first and even with young people it's AI first and even with young people it's AI first and even with young people it's like one group embraces it and you know, like one group embraces it and you know, like one group embraces it and you know, they they solve, you know, I don't know, they they solve, you know, I don't know, they they solve, you know, I don't know, let's call it five or six really let's call it five or six really let's call it five or six really pressing issues. The other group is, you pressing issues. The other group is, you pressing issues. The other group is, you know, not embracing it and the the know, not embracing it and the the know, not embracing it and the the difference between those AI first difference between those AI first difference between those AI first employees employees employees and the non-AI first employees, the gap and the non-AI first employees, the gap and the non-AI first employees, the gap is like, whoa. It's almost like when we is like, whoa. It's almost like when we is like, whoa. It's almost like when we got into the industry and somebody knew got into the industry and somebody knew got into the industry and somebody knew how to use the office suite and a PC how to use the office suite and a PC how to use the office suite and a PC >> Right, right. >> Right, right. >> Right, right. >> and then somebody else was like on legal >> and then somebody else was like on legal >> and then somebody else was like on legal pads. It's like that much of a pads. It's like that much of a pads. It's like that much of a difference. It's so stark. difference. It's so stark. difference. It's so stark. >> People who are AI literate, >> People who are AI literate, >> People who are AI literate, >> Yeah. >> Yeah. >> Yeah. >> what when do they run into a ceiling? >> what when do they run into a ceiling? >> what when do they run into a ceiling? >> Well, you know, it's what I'm seeing is >> Well, you know, it's what I'm seeing is >> Well, you know, it's what I'm seeing is a lot of tool hopping, which I it's a a lot of tool hopping, which I it's a a lot of tool hopping, which I it's a good question because they started with good question because they started with good question because they started with open claw, they started building it, it open claw, they started building it, it open claw, they started building it, it got brittle, and then it just got got brittle, and then it just got got brittle, and then it just got >> uses open claw? >> uses open claw? >> uses open claw? >> Who's open claw? Anybody using Hermes? >> Who's open claw? Anybody using Hermes? >> Who's open claw? Anybody using Hermes? Agent? Okay, there you go. Who's on Agent? Okay, there you go. Who's on Agent? Okay, there you go. Who's on Claude co-work? Claude co-work? Claude co-work? And that Oh, wow. And Perplexity And that Oh, wow. And Perplexity And that Oh, wow. And Perplexity computer, anyone? Okay, interesting. computer, anyone? Okay, interesting. computer, anyone? Okay, interesting. Those are the four that people have been Those are the four that people have been Those are the four that people have been bouncing around on. And what I decided bouncing around on. And what I decided bouncing around on. And what I decided to do is I was just like, "Hey, token to do is I was just like, "Hey, token to do is I was just like, "Hey, token max it. You can you can use it for a max it. You can you can use it for a max it. You can you can use it for a couple thousand dollars a month. I don't couple thousand dollars a month. I don't couple thousand dollars a month. I don't care about that. I just care about the care about that. I just care about the care about that. I just care about the gains." And they all wound up gains." And they all wound up gains." And they all wound up um going from open claw. um going from open claw. um going from open claw. All the agents started breaking, it's All the agents started breaking, it's All the agents started breaking, it's hallucinating, it's like too hallucinating, it's like too hallucinating, it's like too frustrating. They started using Claude frustrating. They started using Claude frustrating. They started using Claude co-work. Okay, great. Um but kind of co-work. Okay, great. Um but kind of co-work. Okay, great. Um but kind of limited. And then they started using limited. And then they started using limited. And then they started using lovable. And they built intranets for lovable. And they built intranets for lovable. And they built intranets for the venture business the venture business the venture business that no venture business would spend a that no venture business would spend a that no venture business would spend a half million dollars and 12 months half million dollars and 12 months half million dollars and 12 months building an intranet. Like you'd just be building an intranet. Like you'd just be building an intranet. Like you'd just be like, "I'm going to put it in Notion, like, "I'm going to put it in Notion, like, "I'm going to put it in Notion, Google Sheets, whatever." Google Sheets, whatever." Google Sheets, whatever." And then they just started building more And then they just started building more And then they just started building more and more software. So I have two or and more software. So I have two or and more software. So I have two or three people who are building software three people who are building software three people who are building software that I would say 5 years ago we would that I would say 5 years ago we would that I would say 5 years ago we would have spent maybe two or three million have spent maybe two or three million have spent maybe two or three million dollars a year building this with that dollars a year building this with that dollars a year building this with that outsourced company. outsourced company. outsourced company. >> would not have done it. >> would not have done it. >> would not have done it. >> Which means we wouldn't have done it. >> Which means we wouldn't have done it. >> Which means we wouldn't have done it. >> Right, you would just bought the SaaS >> Right, you would just bought the SaaS >> Right, you would just bought the SaaS application that did it. application that did it. application that did it. >> And then we would have tried to like >> And then we would have tried to like >> And then we would have tried to like shoehorn it into a SaaS app and shoehorn it into a SaaS app and shoehorn it into a SaaS app and customize it. It wouldn't have worked. customize it. It wouldn't have worked. customize it. It wouldn't have worked. We would have given up. We would have given up. We would have given up. >> But how are you going to manage it now >> But how are you going to manage it now >> But how are you going to manage it now once they get there? once they get there? once they get there? >> Well, you know, I again, to your company >> Well, you know, I again, to your company >> Well, you know, I again, to your company lovable, which man, congrats on that lovable, which man, congrats on that lovable, which man, congrats on that investment because that company was investment because that company was investment because that company was going to go out of business four times. going to go out of business four times. going to go out of business four times. And I told Anton, "Every time they say And I told Anton, "Every time they say And I told Anton, "Every time they say you're going out of business, you add a you're going out of business, you add a you're going out of business, you add a hundred million in revenue." Six hundred hundred million in revenue." Six hundred hundred million in revenue." Six hundred million in revenue. And four times two million in revenue. And four times two million in revenue. And four times two hundred million, three hundred million. hundred million, three hundred million. hundred million, three hundred million. Oh, yeah, it's going to be absorbed into Oh, yeah, it's going to be absorbed into Oh, yeah, it's going to be absorbed into the frontier model. the frontier model. the frontier model. >> right? I mean, I've got lovable, I've >> right? I mean, I've got lovable, I've >> right? I mean, I've got lovable, I've got Synthesia.io got Synthesia.io got Synthesia.io that was the first investor in nice 10 that was the first investor in nice 10 that was the first investor in nice 10 years ago, maybe, that that are just years ago, maybe, that that are just years ago, maybe, that that are just that's just killing it, right? I've got that's just killing it, right? I've got that's just killing it, right? I've got AMI, which is Jan LeCun's world model. AMI, which is Jan LeCun's world model. AMI, which is Jan LeCun's world model. We haven't even talked about world We haven't even talked about world We haven't even talked about world models versus LLM and transformers, models versus LLM and transformers, models versus LLM and transformers, right? Because everything we do is built right? Because everything we do is built right? Because everything we do is built on text and pictures. on text and pictures. on text and pictures. >> Yeah. >> Yeah. >> Yeah. >> Nothing's going to beat text and >> Nothing's going to beat text and >> Nothing's going to beat text and pictures in 10 years, right? And but pictures in 10 years, right? And but pictures in 10 years, right? And but what's going to drive it? And like what's going to drive it? And like what's going to drive it? And like people say, "Well, AI is so smart, it's people say, "Well, AI is so smart, it's people say, "Well, AI is so smart, it's going to change everything." I'm like, going to change everything." I'm like, going to change everything." I'm like, "Okay, if you tell AI if you show AI a "Okay, if you tell AI if you show AI a "Okay, if you tell AI if you show AI a video of a 2-year-old on a high chair video of a 2-year-old on a high chair video of a 2-year-old on a high chair with a sippy cup, the AI the 2-year-old with a sippy cup, the AI the 2-year-old with a sippy cup, the AI the 2-year-old knows if you push the sippy cup over the knows if you push the sippy cup over the knows if you push the sippy cup over the edge, edge, edge, >> Yeah. >> Yeah. >> Yeah. >> mom's going to come running and the AI's >> mom's going to come running and the AI's >> mom's going to come running and the AI's the kid's going to start laughing." the kid's going to start laughing." the kid's going to start laughing." >> Yeah. >> Yeah. >> Yeah. >> AI's got no clue what's going to happen. >> AI's got no clue what's going to happen. >> AI's got no clue what's going to happen. >> Yeah. >> Yeah. >> Yeah. >> None, right? Would you If you're at a >> None, right? Would you If you're at a >> None, right? Would you If you're at a corner blindfolded and you have to cross corner blindfolded and you have to cross corner blindfolded and you have to cross the street, would you rather have a the street, would you rather have a the street, would you rather have a video Would you rather have your phone video Would you rather have your phone video Would you rather have your phone with AI or would you rather have a with AI or would you rather have a with AI or would you rather have a seeing eye dog? seeing eye dog? seeing eye dog? >> Yeah. Dog. >> Yeah. Dog. >> Yeah. Dog. >> I'm taking the dog every time. >> I'm taking the dog every time. >> I'm taking the dog every time. >> yeah. It's not ready. >> yeah. It's not ready. >> yeah. It's not ready. >> Right? >> Right? >> Right? >> Yeah. >> Yeah. >> Yeah. >> It's not ready. So, just think about how >> It's not ready. So, just think about how >> It's not ready. So, just think about how far we have to go. far we have to go. far we have to go. >> Yeah. >> Yeah. >> Yeah. >> You know, and all this >> You know, and all this >> You know, and all this >> Huge opportunity though. I mean, the >> Huge opportunity though. I mean, the >> Huge opportunity though. I mean, the world models are crazy because you have world models are crazy because you have world models are crazy because you have videos available on YouTube and just we videos available on YouTube and just we videos available on YouTube and just we we have the world there. So, kind of we have the world there. So, kind of we have the world there. So, kind of world models are not enough. It's not world models are not enough. It's not world models are not enough. It's not enough. They have to wear gloves and enough. They have to wear gloves and enough. They have to wear gloves and you're Now they've got people in Manila you're Now they've got people in Manila you're Now they've got people in Manila like doing recipes like doing recipes like doing recipes >> So, I invested in this company >> So, I invested in this company >> So, I invested in this company matter.com and they're launching matter.com and they're launching matter.com and they're launching satellites just to take and they do satellites just to take and they do satellites just to take and they do spectrography where they take um use the spectrography where they take um use the spectrography where they take um use the satellites to take videos of everything satellites to take videos of everything satellites to take videos of everything underneath them and use a spectrum I underneath them and use a spectrum I underneath them and use a spectrum I don't even understand all the in don't even understand all the in don't even understand all the in order to be able to convert it into a order to be able to convert it into a order to be able to convert it into a world model that will provide algorithms world model that will provide algorithms world model that will provide algorithms that other world models can use, right? that other world models can use, right? that other world models can use, right? And there's just no way that the the And there's just no way that the the And there's just no way that the the future of AI doesn't include video. future of AI doesn't include video. future of AI doesn't include video. >> Well, I mean, it's it's >> Well, I mean, it's it's >> Well, I mean, it's it's a huge part of it and as the inference a huge part of it and as the inference a huge part of it and as the inference and the the back to the build out of and the the back to the build out of and the the back to the build out of these data centers, as we wonder what's these data centers, as we wonder what's these data centers, as we wonder what's going to happen, going to happen, going to happen, people wanting to use more tokens, and people wanting to use more tokens, and people wanting to use more tokens, and then these world-building and video, then these world-building and video, then these world-building and video, man, that takes a magnitude more tokens. man, that takes a magnitude more tokens. man, that takes a magnitude more tokens. >> like, if I'm going to be wrong on the >> like, if I'm going to be wrong on the >> like, if I'm going to be wrong on the data centers, it's going to be because data centers, it's going to be because data centers, it's going to be because of video. of video. of video. >> Yeah. >> Yeah. >> Yeah. >> Right? >> Right? >> Right? >> And world models and robotics, which is >> And world models and robotics, which is >> And world models and robotics, which is all related, yeah. all related, yeah. all related, yeah. >> Yeah. And then, in robotics, it's, you >> Yeah. And then, in robotics, it's, you >> Yeah. And then, in robotics, it's, you know, it's related, but just we still know, it's related, but just we still know, it's related, but just we still got a long way to go. got a long way to go. got a long way to go. >> Yeah. >> Yeah. >> Yeah. Uh health, you look great, by the way. I Uh health, you look great, by the way. I Uh health, you look great, by the way. I don't know what's going on. You got the don't know what's going on. You got the don't know what's going on. You got the red What do you got? Red of True Tie? red What do you got? Red of True Tie? red What do you got? Red of True Tie? What's on the menu here? What's off the What's on the menu here? What's off the What's on the menu here? What's off the menu? menu? menu? >> Follow me on Instagram, mcuban, and I >> Follow me on Instagram, mcuban, and I >> Follow me on Instagram, mcuban, and I just I'm eating better, not just I'm eating better, not just I'm eating better, not >> I mean, you look better now than 20 >> I mean, you look better now than 20 >> I mean, you look better now than 20 years ago. years ago. years ago. >> Oh, I appreciate that. Thank you. >> Oh, I appreciate that. Thank you. >> Oh, I appreciate that. Thank you. >> Yeah, I mean, you >> Yeah, I mean, you >> Yeah, I mean, you >> Tam helps, too, right? >> Tam helps, too, right? >> Tam helps, too, right? >> The Tam, but I mean, you you look thin >> The Tam, but I mean, you you look thin >> The Tam, but I mean, you you look thin and fit, and listen, we're getting up and fit, and listen, we're getting up and fit, and listen, we're getting up there now. We're not kids anymore. Um there now. We're not kids anymore. Um there now. We're not kids anymore. Um this is definitely going to help uh AI this is definitely going to help uh AI this is definitely going to help uh AI all the work being done all the work being done all the work being done >> No, I mean, and I use it, too. Like, I >> No, I mean, and I use it, too. Like, I >> No, I mean, and I use it, too. Like, I invested in a company called Open invested in a company called Open invested in a company called Open Evidence. Evidence. Evidence. >> Yes. >> Yes. >> Yes. >> Yeah, which is just for medical, right? >> Yeah, which is just for medical, right? >> Yeah, which is just for medical, right? And um I used it, and like, I have two I And um I used it, and like, I have two I And um I used it, and like, I have two I have one supplement I have to take cuz have one supplement I have to take cuz have one supplement I have to take cuz my iron levels are low, and I have to my iron levels are low, and I have to my iron levels are low, and I have to take this one medication. And I was take this one medication. And I was take this one medication. And I was taking them at the same time, and taking them at the same time, and taking them at the same time, and couldn't understand why I was having couldn't understand why I was having couldn't understand why I was having problems. I run it through Open problems. I run it through Open problems. I run it through Open Evidence, and I said, "Here's everything Evidence, and I said, "Here's everything Evidence, and I said, "Here's everything I'm taking. Here's everything I'm I'm taking. Here's everything I'm I'm taking. Here's everything I'm eating." And they're like, "No, you got eating." And they're like, "No, you got eating." And they're like, "No, you got to do this. You know, when you get up to to do this. You know, when you get up to to do this. You know, when you get up to pee at 3:00 in the morning, take this pee at 3:00 in the morning, take this pee at 3:00 in the morning, take this medication. When you get you know medication. When you get you know medication. When you get you know >> Getting old sucks. >> Getting old sucks. >> Getting old sucks. >> Yeah, right. >> Yeah, right. >> Yeah, right. >> I [laughter] was I was right there with >> I [laughter] was I was right there with >> I [laughter] was I was right there with you last night. What's going on? you last night. What's going on? you last night. What's going on? >> What's going on, right? >> What's going on, right? >> What's going on, right? Um and so, you know, but Um and so, you know, but Um and so, you know, but it's it's it's for health, it's going to make a huge for health, it's going to make a huge for health, it's going to make a huge difference, but it's not going to difference, but it's not going to difference, but it's not going to replace doctors. replace doctors. replace doctors. >> No. >> No. >> No. But, I mean, it it is pretty amazing. But, I mean, it it is pretty amazing. But, I mean, it it is pretty amazing. Are Are you on Whoop or your Apple Are Are you on Whoop or your Apple Are Are you on Whoop or your Apple Watch? Watch? Watch? >> yeah. >> yeah. >> yeah. >> Yeah, I mean, the Apple the the Whoop, >> Yeah, I mean, the Apple the the Whoop, >> Yeah, I mean, the Apple the the Whoop, plus getting your blood test, plus getting your blood test, plus getting your blood test, just self-directed health care with AI, just self-directed health care with AI, just self-directed health care with AI, man, you're going to get some early man, you're going to get some early man, you're going to get some early wins, and then when you do go talk to wins, and then when you do go talk to wins, and then when you do go talk to your doctor, your doctor, your doctor, >> No, you have it right there, right? I >> No, you have it right there, right? I >> No, you have it right there, right? I have my blood tested up, you know, have my blood tested up, you know, have my blood tested up, you know, >> Now, it's like >> Now, it's like >> Now, it's like >> all it three to six months. >> all it three to six months. >> all it three to six months. >> Yeah. >> Yeah. >> Yeah. >> Right? And I've been doing it for 10 >> Right? And I've been doing it for 10 >> Right? And I've been doing it for 10 years, so I know all my trends. years, so I know all my trends. years, so I know all my trends. >> Wow. >> Wow. >> Wow. >> And so >> And so >> And so >> So, you were doing it before Function >> So, you were doing it before Function >> So, you were doing it before Function and Superpower and all of those. and Superpower and all of those. and Superpower and all of those. >> I you could go look up Mark Cuban blood >> I you could go look up Mark Cuban blood >> I you could go look up Mark Cuban blood test on Twitter, right? X. And I would test on Twitter, right? X. And I would test on Twitter, right? X. And I would get into it with doctors like 8 10 years get into it with doctors like 8 10 years get into it with doctors like 8 10 years ago and just saying you're going to need ago and just saying you're going to need ago and just saying you're going to need this for your benchmarks. And um but this for your benchmarks. And um but this for your benchmarks. And um but it's only going to get better. it's only going to get better. it's only going to get better. >> Yeah. And what's what's going to be >> Yeah. And what's what's going to be >> Yeah. And what's what's going to be really interesting, we had this big data really interesting, we had this big data really interesting, we had this big data moment moment moment and it was like, okay, yeah, we're and it was like, okay, yeah, we're and it was like, okay, yeah, we're storing all this data, but we didn't storing all this data, but we didn't storing all this data, but we didn't have any intelligence against it. Now have any intelligence against it. Now have any intelligence against it. Now that's incredible with Apple is now that's incredible with Apple is now that's incredible with Apple is now putting that data, they're doing putting that data, they're doing putting that data, they're doing studies. I don't know if you've been studies. I don't know if you've been studies. I don't know if you've been invited to studies on your Apple Watch. invited to studies on your Apple Watch. invited to studies on your Apple Watch. And I'm like, well, this is going to get And I'm like, well, this is going to get And I'm like, well, this is going to get very interesting. Whoop just added blood very interesting. Whoop just added blood very interesting. Whoop just added blood panels. Yeah. So, now your sleep data, panels. Yeah. So, now your sleep data, panels. Yeah. So, now your sleep data, your steps, your heart rate, your your steps, your heart rate, your your steps, your heart rate, your respiratory, EKG, respiratory, EKG, respiratory, EKG, plus your blood work, plus your blood work, plus your blood work, >> That's pretty >> That's pretty >> That's pretty >> then if you can get your diet into it as >> then if you can get your diet into it as >> then if you can get your diet into it as well, well, well, >> Yeah, that's what I watch has in eye >> Yeah, that's what I watch has in eye >> Yeah, that's what I watch has in eye health, right? health, right? health, right? >> Yeah. >> Yeah. >> Yeah. >> So, yeah, you're just going to get >> So, yeah, you're just going to get >> So, yeah, you're just going to get smarter. smarter. smarter. >> Yeah. >> Yeah. >> Yeah. >> You know, and that'll make your doctors >> You know, and that'll make your doctors >> You know, and that'll make your doctors able to be smarter because 95% of able to be smarter because 95% of able to be smarter because 95% of medicine is guessing. medicine is guessing. medicine is guessing. You know, because you can't there's no You know, because you can't there's no You know, because you can't there's no way a doctor can memorize all the new way a doctor can memorize all the new way a doctor can memorize all the new that happens every single day. You just that happens every single day. You just that happens every single day. You just can't. But a doctor using these tools, can't. But a doctor using these tools, can't. But a doctor using these tools, having, you know, the empathy and the having, you know, the empathy and the having, you know, the empathy and the ability to communicate and the ability ability to communicate and the ability ability to communicate and the ability to see, to see, to see, >> Yeah. >> Yeah. >> Yeah. >> right? Because again, >> right? Because again, >> right? Because again, there's you can't see. there's you can't see. there's you can't see. >> Yeah. >> Yeah. >> Yeah. >> You know, you could have doctor, you >> You know, you could have doctor, you >> You know, you could have doctor, you know, why am I bleeding? Well, you got a know, why am I bleeding? Well, you got a know, why am I bleeding? Well, you got a blood looks like you got a gunshot blood looks like you got a gunshot blood looks like you got a gunshot wound, right? wound, right? wound, right? Yeah, he's not going to tell you that Yeah, he's not going to tell you that Yeah, he's not going to tell you that today. today. today. >> Yeah. Um >> Yeah. Um >> Yeah. Um when we look at the opportunity here, when we look at the opportunity here, when we look at the opportunity here, it's going to be a lot of change, a lot it's going to be a lot of change, a lot it's going to be a lot of change, a lot of talk about wealth disparity in the of talk about wealth disparity in the of talk about wealth disparity in the US. US. US. Uh Uh Uh Invest America, our friend Brad Gerstner Invest America, our friend Brad Gerstner Invest America, our friend Brad Gerstner and our friend Michael Dell, another and our friend Michael Dell, another and our friend Michael Dell, another great Texan. And thanks for welcoming great Texan. And thanks for welcoming great Texan. And thanks for welcoming I'm I'm I'm enjoying my time in Texas. enjoying my time in Texas. enjoying my time in Texas. >> Yeah. I mean, it's great. I love >> Yeah. I mean, it's great. I love >> Yeah. I mean, it's great. I love Texas, man. Texas, man. Texas, man. >> Texas is fun. It's kind of like the >> Texas is fun. It's kind of like the >> Texas is fun. It's kind of like the heat's kind of like this, though. heat's kind of like this, though. heat's kind of like this, though. >> Yeah. >> Yeah. >> Yeah. >> But we have air conditioning. >> But we have air conditioning. >> But we have air conditioning. >> We do have air conditioning. >> We do have air conditioning. >> We do have air conditioning. There there's a record number of air There there's a record number of air There there's a record number of air conditioners coming from China to Europe conditioners coming from China to Europe conditioners coming from China to Europe this summer. this summer. this summer. >> You know, I looked at what companies >> You know, I looked at what companies >> You know, I looked at what companies installed them and everything. installed them and everything. installed them and everything. >> Oh, you always got to trade. You always >> Oh, you always got to trade. You always >> Oh, you always got to trade. You always got to trade. got to trade. got to trade. >> but there's no real >> but there's no real >> but there's no real >> sold out. They're all being shipped here >> sold out. They're all being shipped here >> sold out. They're all being shipped here from China at the moment. from China at the moment. from China at the moment. But really interestingly, you know, But really interestingly, you know, But really interestingly, you know, feels like feels like feels like entrepreneurship, which has been our entrepreneurship, which has been our entrepreneurship, which has been our shared passion for many decades. shared passion for many decades. shared passion for many decades. Hey, investing, another shared one. Hey, investing, another shared one. Hey, investing, another shared one. Giving people access to public markets, Giving people access to public markets, Giving people access to public markets, Invest America. Invest America. Invest America. We have this dueling narrative, We have this dueling narrative, We have this dueling narrative, socialism in America, capitalism. And it socialism in America, capitalism. And it socialism in America, capitalism. And it feels like this is the in our lifetimes, feels like this is the in our lifetimes, feels like this is the in our lifetimes, you and I are close in age. you and I are close in age. you and I are close in age. This is the most fevered we've ever seen This is the most fevered we've ever seen This is the most fevered we've ever seen it. I mean, we have states it. I mean, we have states it. I mean, we have states >> Maybe not since the '60s or '70s. I I I >> Maybe not since the '60s or '70s. I I I >> Maybe not since the '60s or '70s. I I I missed that. I was born 1970. You were missed that. I was born 1970. You were missed that. I was born 1970. You were born, I guess, 1943. born, I guess, 1943. born, I guess, 1943. >> 23. >> 23. >> 23. >> 23. I always joke he's my older brother. >> 23. I always joke he's my older brother. >> 23. I always joke he's my older brother. >> don't I? >> don't I? >> don't I? >> You look good for 1923. But >> You look good for 1923. But >> You look good for 1923. But you know, it's this is pretty polarized. you know, it's this is pretty polarized. you know, it's this is pretty polarized. What's your take on the the socialist What's your take on the the socialist What's your take on the the socialist >> There's two things here. One, all the >> There's two things here. One, all the >> There's two things here. One, all the DSA stuff is local. Right. It's really DSA stuff is local. Right. It's really DSA stuff is local. Right. It's really easy to be Mandami and in New York when easy to be Mandami and in New York when easy to be Mandami and in New York when you have a budget, you get to control you have a budget, you get to control you have a budget, you get to control it. And it's local, right? You got it. And it's local, right? You got it. And it's local, right? You got elected, you just do and you have to elected, you just do and you have to elected, you just do and you have to balance the budget. And you'll see it in balance the budget. And you'll see it in balance the budget. And you'll see it in Michigan and wherever else. Michigan and wherever else. Michigan and wherever else. I don't think it's going to be I don't think it's going to be I don't think it's going to be game-changing, but the more important game-changing, but the more important game-changing, but the more important thing is the people who are doing this thing is the people who are doing this thing is the people who are doing this are the people who are best at social are the people who are best at social are the people who are best at social media. media. media. >> Right. >> Right. >> Right. >> You know, because the algorithms drive >> You know, because the algorithms drive >> You know, because the algorithms drive how people vote in the United States. I how people vote in the United States. I how people vote in the United States. I I can't speak to the rest of the world I can't speak to the rest of the world I can't speak to the rest of the world more than anything else. Whoever more than anything else. Whoever more than anything else. Whoever controls the algorithm controls, you controls the algorithm controls, you controls the algorithm controls, you know, the election in many cases. Trump know, the election in many cases. Trump know, the election in many cases. Trump knows how to use it. And what what do knows how to use it. And what what do knows how to use it. And what what do Mandami, you know, what what is unique Mandami, you know, what what is unique Mandami, you know, what what is unique about Mandami relative to Trump? He's about Mandami relative to Trump? He's about Mandami relative to Trump? He's what, 31, 32 years old? what, 31, 32 years old? what, 31, 32 years old? >> Yep. >> Yep. >> Yep. >> His whole adult life has been Trump. >> His whole adult life has been Trump. >> His whole adult life has been Trump. >> Mhm. >> Mhm. >> Mhm. >> And social media. >> And social media. >> And social media. >> He studied it. >> He studied it. >> He studied it. >> And the two together. Yeah. And the the >> And the two together. Yeah. And the the >> And the two together. Yeah. And the the guy in same thing. So, if you If you're guy in same thing. So, if you If you're guy in same thing. So, if you If you're good at AI, I mean, at um algorithm, you good at AI, I mean, at um algorithm, you good at AI, I mean, at um algorithm, you know, driving algorithms, whether it's know, driving algorithms, whether it's know, driving algorithms, whether it's flooding the zone or you know, like flooding the zone or you know, like flooding the zone or you know, like Trump's saying, "They're eating cats and Trump's saying, "They're eating cats and Trump's saying, "They're eating cats and dogs." dogs." dogs." >> Yeah, it's just attention. >> Yeah, it's just attention. >> Yeah, it's just attention. >> Yeah, and it's just, you know, defining >> Yeah, and it's just, you know, defining >> Yeah, and it's just, you know, defining the algorithms, cuz whatever you search the algorithms, cuz whatever you search the algorithms, cuz whatever you search for, you get more of. for, you get more of. for, you get more of. And if they can get you to search for And if they can get you to search for And if they can get you to search for what they're saying and get show your what they're saying and get show your what they're saying and get show your interest, then you're going to just get interest, then you're going to just get interest, then you're going to just get Mandami 24/7. Mandami 24/7. Mandami 24/7. >> Yep. >> Yep. >> Yep. >> And you'll get the positive sides of >> And you'll get the positive sides of >> And you'll get the positive sides of Mandami, or if you happen to be on the Mandami, or if you happen to be on the Mandami, or if you happen to be on the other side of the aisle, and you are, other side of the aisle, and you are, other side of the aisle, and you are, you know, looking at stuff that's you know, looking at stuff that's you know, looking at stuff that's counter to that, you'll get more of counter to that, you'll get more of counter to that, you'll get more of that. We don't feel like But one other that. We don't feel like But one other that. We don't feel like But one other piece I think is starting to change piece I think is starting to change piece I think is starting to change that, and that's the large language that, and that's the large language that, and that's the large language models. models. models. >> Mhm. >> Mhm. >> Mhm. >> The thing that I think will save us as a >> The thing that I think will save us as a >> The thing that I think will save us as a world more than anything else in terms world more than anything else in terms world more than anything else in terms of um information availability and of um information availability and of um information availability and reducing the information asymmetry as it reducing the information asymmetry as it reducing the information asymmetry as it applies to politics, are large language applies to politics, are large language applies to politics, are large language models. Because large language models models. Because large language models models. Because large language models have to be as literate or and literal have to be as literate or and literal have to be as literate or and literal and honest as they possibly can. and honest as they possibly can. and honest as they possibly can. >> Truth-seeking. >> Truth-seeking. >> Truth-seeking. >> Yeah, truth-seeking, better way to put >> Yeah, truth-seeking, better way to put >> Yeah, truth-seeking, better way to put it. Yeah. So, they they have to seek it. Yeah. So, they they have to seek it. Yeah. So, they they have to seek truth. Otherwise, you'll lose trust in truth. Otherwise, you'll lose trust in truth. Otherwise, you'll lose trust in them. them. them. And the last thing, you know, Claude, And the last thing, you know, Claude, And the last thing, you know, Claude, OpenAI needs is what, you know, they're OpenAI needs is what, you know, they're OpenAI needs is what, you know, they're lying their stuff about this for lying their stuff about this for lying their stuff about this for >> Yeah, their currency is getting you the >> Yeah, their currency is getting you the >> Yeah, their currency is getting you the correct answer and the correct correct answer and the correct correct answer and the correct knowledge. Social media's currency is knowledge. Social media's currency is knowledge. Social media's currency is keeping you engaged. It's two different keeping you engaged. It's two different keeping you engaged. It's two different missions. missions. missions. >> Totally different missions, right? And >> Totally different missions, right? And >> Totally different missions, right? And so, you're not going to get rid of so, you're not going to get rid of so, you're not going to get rid of social media, but I think people, as social media, but I think people, as social media, but I think people, as they become more and certain with their they become more and certain with their they become more and certain with their politics, are going to go more and more politics, are going to go more and more politics, are going to go more and more and more to large language models and and more to large language models and and more to large language models and say, "Who should I vote for?" say, "Who should I vote for?" say, "Who should I vote for?" >> Mhm. >> Mhm. >> Mhm. >> And the large language model's going to >> And the large language model's going to >> And the large language model's going to come back and say, "Well, what do you come back and say, "Well, what do you come back and say, "Well, what do you think about this? What are your think about this? What are your think about this? What are your interests in this and that and that?" interests in this and that and that?" interests in this and that and that?" And they'll give you honest answers. And they'll give you honest answers. And they'll give you honest answers. >> Yeah, and if you ask it, "Hey, what's a >> Yeah, and if you ask it, "Hey, what's a >> Yeah, and if you ask it, "Hey, what's a reasonable immigration policy?" It'll reasonable immigration policy?" It'll reasonable immigration policy?" It'll give you a reasonable immigration give you a reasonable immigration give you a reasonable immigration policy, which is like, yeah, maybe shut policy, which is like, yeah, maybe shut policy, which is like, yeah, maybe shut the border and do a point based system the border and do a point based system the border and do a point based system like Canada, New Zealand. like Canada, New Zealand. like Canada, New Zealand. >> Whatever it may be, right? Yeah. I've >> Whatever it may be, right? Yeah. I've >> Whatever it may be, right? Yeah. I've done the same thing and it's impressive. done the same thing and it's impressive. done the same thing and it's impressive. >> Very impressive. You know, my favorite >> Very impressive. You know, my favorite >> Very impressive. You know, my favorite troll now is like JD or, you know, AOC troll now is like JD or, you know, AOC troll now is like JD or, you know, AOC will, you know, they'll come out with will, you know, they'll come out with will, you know, they'll come out with whatever their craziness is on either whatever their craziness is on either whatever their craziness is on either side of the aisle and then I'm like, side of the aisle and then I'm like, side of the aisle and then I'm like, "Act Rock, please vet these claims." "Act Rock, please vet these claims." "Act Rock, please vet these claims." >> [laughter] >> [laughter] >> [laughter] >> Be as objective and factual as possible. >> Be as objective and factual as possible. >> Be as objective and factual as possible. Check your work. Check your work. Check your work. And then it just replies to them. So, And then it just replies to them. So, And then it just replies to them. So, I've been just totally trolling Stephen I've been just totally trolling Stephen I've been just totally trolling Stephen Miller. Um Miller. Um Miller. Um >> Oh my gosh. >> Oh my gosh. >> Oh my gosh. >> Who, you know, he's like >> Who, you know, he's like >> Who, you know, he's like anti-immigration. I'm very passionate anti-immigration. I'm very passionate anti-immigration. I'm very passionate about like legal immigration and about like legal immigration and about like legal immigration and recruiting great people because recruiting great people because recruiting great people because >> You need them. We need them. >> You need them. We need them. >> You need them. We need them. >> We need them. >> We need them. >> We need them. If every cuz If every cuz If every cuz running a basketball team, every time running a basketball team, every time running a basketball team, every time you get Dirk Nowitzki, somebody else you get Dirk Nowitzki, somebody else you get Dirk Nowitzki, somebody else doesn't have them on the team. You get doesn't have them on the team. You get doesn't have them on the team. You get Jalen Brunson, he's not on the Mavericks Jalen Brunson, he's not on the Mavericks Jalen Brunson, he's not on the Mavericks anymore. Now he's on the Knicks. You anymore. Now he's on the Knicks. You anymore. Now he's on the Knicks. You know, like know, like know, like >> Well, that's why we come to these things >> Well, that's why we come to these things >> Well, that's why we come to these things in Europe, right? Because great talent, in Europe, right? Because great talent, in Europe, right? Because great talent, right? Smart people. Obviously, you guys right? Smart people. Obviously, you guys right? Smart people. Obviously, you guys are geniuses for being here, you know? are geniuses for being here, you know? are geniuses for being here, you know? Um But Um But Um But But at the same time, there's a But at the same time, there's a But at the same time, there's a different vibe in every European country different vibe in every European country different vibe in every European country and India and the whole rest of the and India and the whole rest of the and India and the whole rest of the world, right? And I think you're world, right? And I think you're world, right? And I think you're starting to see some entrepreneurs leave starting to see some entrepreneurs leave starting to see some entrepreneurs leave us us us >> Yep. >> Yep. >> Yep. >> to come here and that's scary. And >> to come here and that's scary. And >> to come here and that's scary. And hopefully, you know, large language hopefully, you know, large language hopefully, you know, large language models seeking the truth will help models seeking the truth will help models seeking the truth will help educate people away from what the educate people away from what the educate people away from what the algorithms tell them. algorithms tell them. algorithms tell them. >> Yeah, I think it's like an important You >> Yeah, I think it's like an important You >> Yeah, I think it's like an important You optimistic now? optimistic now? optimistic now? Um it's been pretty chaotic. Um it's been pretty chaotic. Um it's been pretty chaotic. But we're seeing such great progress. But we're seeing such great progress. But we're seeing such great progress. You optimistic about You optimistic about You optimistic about Let's start with America and then we'll Let's start with America and then we'll Let's start with America and then we'll go to humanity. Um go to humanity. Um go to humanity. Um >> Yeah, no, I mean >> Yeah, no, I mean >> Yeah, no, I mean you know, like every country, we have you know, like every country, we have you know, like every country, we have our issues. Um our issues. Um our issues. Um ours just happen to be kind of insane. ours just happen to be kind of insane. ours just happen to be kind of insane. Um Um Um >> It is pretty wild. >> It is pretty wild. >> It is pretty wild. >> Yeah. Um >> Yeah. Um >> Yeah. Um >> [laughter] >> [laughter] >> [laughter] >> But the good news is, you know, we have >> But the good news is, you know, we have >> But the good news is, you know, we have term limits for our president. term limits for our president. term limits for our president. >> Yeah. >> Yeah. >> Yeah. >> And >> And >> And >> Yeah. And it seems like 12 uh three >> Yeah. And it seems like 12 uh three >> Yeah. And it seems like 12 uh three terms is going to be the one for terms is going to be the one for terms is going to be the one for president. president. president. I mean I mean I mean You going to run? I mean, I hope you do, You going to run? I mean, I hope you do, You going to run? I mean, I hope you do, man. I would love to be your press man. I would love to be your press man. I would love to be your press secretary. That would be a We'd have so secretary. That would be a We'd have so secretary. That would be a We'd have so much fun. much fun. much fun. >> fun, though. >> fun, though. >> fun, though. >> We'd have fun. >> We'd have fun. >> We'd have fun. >> We would have fun. Well, if he decides >> We would have fun. Well, if he decides >> We would have fun. Well, if he decides to run for a third term, then I'll run, to run for a third term, then I'll run, to run for a third term, then I'll run, but he's but he's but he's >> Yeah. Okay, that's good. That's breaking >> Yeah. Okay, that's good. That's breaking >> Yeah. Okay, that's good. That's breaking news. I mean, I uh honestly like news. I mean, I uh honestly like news. I mean, I uh honestly like um if you think about what we need, I um if you think about what we need, I um if you think about what we need, I think, in leadership, executives who can think, in leadership, executives who can think, in leadership, executives who can I think you know, who are like I think you know, who are like I think you know, who are like post-money, post needing to make a post-money, post needing to make a post-money, post needing to make a living. living. living. >> You mean that No, I'm not going to even >> You mean that No, I'm not going to even >> You mean that No, I'm not going to even go there. go there. go there. >> [laughter] >> [laughter] >> [laughter] >> Well, and then maybe who are doing it >> Well, and then maybe who are doing it >> Well, and then maybe who are doing it for love of country and maybe some for love of country and maybe some for love of country and maybe some amount of civic pride or amount of civic pride or amount of civic pride or >> No, I get what you're saying, right? And >> No, I get what you're saying, right? And >> No, I get what you're saying, right? And it's just like you know, in the US it's just like you know, in the US it's just like you know, in the US what the Democrats what the Democrats what the Democrats don't know how to actually do anything. don't know how to actually do anything. don't know how to actually do anything. >> Right. >> Right. >> Right. >> You know, they know how to take whatever >> You know, they know how to take whatever >> You know, they know how to take whatever happens and extrapolate that to the end happens and extrapolate that to the end happens and extrapolate that to the end of the world and the end of democracy, of the world and the end of democracy, of the world and the end of democracy, right? right? right? >> Yeah. >> Yeah. >> Yeah. >> But and the Republicans on the other >> But and the Republicans on the other >> But and the Republicans on the other hand, you know, do crazy right? hand, you know, do crazy right? hand, you know, do crazy right? Like they don't care about the people in Like they don't care about the people in Like they don't care about the people in the country, they don't, you know, the country, they don't, you know, the country, they don't, you know, there's no connection to people, there's there's no connection to people, there's there's no connection to people, there's no empathy. And so no empathy. And so no empathy. And so you know, we're you know, we're you know, we're but um in the short term, but I think as but um in the short term, but I think as but um in the short term, but I think as we get past this next the midterms and we get past this next the midterms and we get past this next the midterms and the next presidential election. the next presidential election. the next presidential election. >> I think we go back to normalcy. I think >> I think we go back to normalcy. I think >> I think we go back to normalcy. I think we'll get back to normal. we'll get back to normal. we'll get back to normal. >> I think people want it and you know, the >> I think people want it and you know, the >> I think people want it and you know, the thing that's been really eye-opening for thing that's been really eye-opening for thing that's been really eye-opening for me having lived in New York, California, me having lived in New York, California, me having lived in New York, California, and now Texas and now Texas and now Texas you know, in Texas you know, in Texas you know, in Texas we're spending half as much money per uh we're spending half as much money per uh we're spending half as much money per uh sometimes less. I think it's two and 2.2 sometimes less. I think it's two and 2.2 sometimes less. I think it's two and 2.2 times as much is spent on each citizen times as much is spent on each citizen times as much is spent on each citizen in New York uh in New York uh in New York uh and uh we spend half as much, right? and uh we spend half as much, right? and uh we spend half as much, right? It's $6,000 per person, they spend like It's $6,000 per person, they spend like It's $6,000 per person, they spend like 14 or something, 12 to 14. 14 or something, 12 to 14. 14 or something, 12 to 14. And uh the quality of life is better. And uh the quality of life is better. And uh the quality of life is better. >> But on the flip side, New York >> But on the flip side, New York >> But on the flip side, New York contributes more to the federal contributes more to the federal contributes more to the federal treasury, right? Than Texas does. And treasury, right? Than Texas does. And treasury, right? Than Texas does. And And would think it should be the And would think it should be the And would think it should be the opposite, right? Just because of the opposite, right? Just because of the opposite, right? Just because of the business and how things are run. So, business and how things are run. So, business and how things are run. So, there are trade-offs. there are trade-offs. there are trade-offs. >> Yeah, but it's it's changing. Like, what >> Yeah, but it's it's changing. Like, what >> Yeah, but it's it's changing. Like, what do you think about all of us moving to do you think about all of us moving to do you think about all of us moving to Austin and like Texas? You got Austin and like Texas? You got Austin and like Texas? You got >> smart, obviously. >> smart, obviously. >> smart, obviously. >> For obvious reason, particularly, you >> For obvious reason, particularly, you >> For obvious reason, particularly, you know, know, know, like the wealth tax is just dumb like the wealth tax is just dumb like the wealth tax is just dumb dumb crazy. dumb crazy. dumb crazy. >> They tried it here. >> They tried it here. >> They tried it here. >> Yeah, it didn't work, yeah. >> Yeah, it didn't work, yeah. >> Yeah, it didn't work, yeah. >> And they did it for about 2 years in >> And they did it for about 2 years in >> And they did it for about 2 years in France. France. France. >> Did they Yeah, I don't know. But, you >> Did they Yeah, I don't know. But, you >> Did they Yeah, I don't know. But, you know, when Elizabeth Warren first know, when Elizabeth Warren first know, when Elizabeth Warren first proposed the wealth tax, proposed the wealth tax, proposed the wealth tax, >> Yeah. >> Yeah. >> Yeah. >> And so, I found and she said, "Well, we >> And so, I found and she said, "Well, we >> And so, I found and she said, "Well, we have these models and everything." So, I have these models and everything." So, I have these models and everything." So, I found the economist at UC Berkeley and I found the economist at UC Berkeley and I found the economist at UC Berkeley and I said, "Would you share your model with said, "Would you share your model with said, "Would you share your model with me or at least tell me about it?" He me or at least tell me about it?" He me or at least tell me about it?" He goes, I'm like, "Was it more than 1 goes, I'm like, "Was it more than 1 goes, I'm like, "Was it more than 1 year?" And he goes, "No, it was just 1 year?" And he goes, "No, it was just 1 year?" And he goes, "No, it was just 1 year." I'm like, "Did you do any year." I'm like, "Did you do any year." I'm like, "Did you do any behavioral analysis to see how people behavioral analysis to see how people behavioral analysis to see how people would respond to the changes?" No. And would respond to the changes?" No. And would respond to the changes?" No. And so, so, so, you know, whether it's Madami, Elizabeth you know, whether it's Madami, Elizabeth you know, whether it's Madami, Elizabeth Warren, whether it's California, it's Warren, whether it's California, it's Warren, whether it's California, it's it's showmanship more than reality. it's showmanship more than reality. it's showmanship more than reality. >> Yeah, and I think people are forgetting >> Yeah, and I think people are forgetting >> Yeah, and I think people are forgetting that people are mobile, you know, like that people are mobile, you know, like that people are mobile, you know, like >> in the US, [clears throat] yeah. >> in the US, [clears throat] yeah. >> in the US, [clears throat] yeah. >> In the US, it's pretty extraordinary. >> In the US, it's pretty extraordinary. >> In the US, it's pretty extraordinary. You got Travis, Sachs, myself, Elon, You got Travis, Sachs, myself, Elon, You got Travis, Sachs, myself, Elon, just a bunch of folks have all of a just a bunch of folks have all of a just a bunch of folks have all of a sudden just shown up. sudden just shown up. sudden just shown up. >> I was there first. >> I was there first. >> I was there first. >> You were. I remember talking to you >> You were. I remember talking to you >> You were. I remember talking to you about it. And the thing that's amazing about it. And the thing that's amazing about it. And the thing that's amazing to me is to me is to me is you know, in California, they won't let you know, in California, they won't let you know, in California, they won't let you build anything. And then we go to you build anything. And then we go to you build anything. And then we go to um I come to Texas, I buy a ranch, and I um I come to Texas, I buy a ranch, and I um I come to Texas, I buy a ranch, and I ask the guy like, "Hey, ask the guy like, "Hey, ask the guy like, "Hey, can I like can I like can I like put a solar farm in here?" He's like, put a solar farm in here?" He's like, put a solar farm in here?" He's like, "On your ranch?" I'm like, "Yeah, here." "On your ranch?" I'm like, "Yeah, here." "On your ranch?" I'm like, "Yeah, here." He's like, "Oh, son, at your ranch, you He's like, "Oh, son, at your ranch, you He's like, "Oh, son, at your ranch, you you can do that." And I'm like, "Can I you can do that." And I'm like, "Can I you can do that." And I'm like, "Can I can I like build like can I like build like can I like build like >> Trust me, they do it in the cities >> Trust me, they do it in the cities >> Trust me, they do it in the cities themselves. Try doing that in the city themselves. Try doing that in the city themselves. Try doing that in the city of Austin. of Austin. of Austin. >> but just outside of it, you can build. >> but just outside of it, you can build. >> but just outside of it, you can build. And housing prices have gone three three And housing prices have gone three three And housing prices have gone three three years in a row, housing prices and rents years in a row, housing prices and rents years in a row, housing prices and rents have gone down. When you build a company have gone down. When you build a company have gone down. When you build a company in Austin now, and I'm sure it's like in Austin now, and I'm sure it's like in Austin now, and I'm sure it's like that in Dallas and Houston and San that in Dallas and Houston and San that in Dallas and Houston and San Antonio, Antonio, Antonio, when I have founders move there, when I have founders move there, when I have founders move there, the entire pressure is released. People the entire pressure is released. People the entire pressure is released. People can own a home. And I was like, "Wow, is can own a home. And I was like, "Wow, is can own a home. And I was like, "Wow, is that a world that a world that a world >> still go to Silicon Valley? That >> still go to Silicon Valley? That >> still go to Silicon Valley? That like drives me piss like drives me piss like drives me piss >> I I think if you're a first-time >> I I think if you're a first-time >> I I think if you're a first-time founder, nothing better in terms of founder, nothing better in terms of founder, nothing better in terms of soaking in it. But when you're a soaking in it. But when you're a soaking in it. But when you're a second-time founder you soaking in it second-time founder you soaking in it second-time founder you soaking in it but what they don't tell you the it but what they don't tell you the it but what they don't tell you the it right? Yeah, it's tough. I think right? Yeah, it's tough. I think right? Yeah, it's tough. I think second-time founders have now realized second-time founders have now realized second-time founders have now realized if I build it in Texas or Nevada or if I build it in Texas or Nevada or if I build it in Texas or Nevada or Florida, I'm going to just all the Florida, I'm going to just all the Florida, I'm going to just all the talent's going to come. talent's going to come. talent's going to come. That's people's heads so wrong. Right? That's people's heads so wrong. Right? That's people's heads so wrong. Right? So whether it's Travis Mike By the way, So whether it's Travis Mike By the way, So whether it's Travis Mike By the way, I I've known Michael Dell since we were I I've known Michael Dell since we were I I've known Michael Dell since we were 22 and I used to do business with him 22 and I used to do business with him 22 and I used to do business with him way back when. way back when. way back when. Um but just the Um but just the Um but just the In Texas it's just like build your In Texas it's just like build your In Texas it's just like build your company and go. company and go. company and go. >> Yes. >> Yes. >> Yes. >> In the Valley it's like So are you >> In the Valley it's like So are you >> In the Valley it's like So are you series A? Are you series B? Are you series A? Are you series B? Are you series A? Are you series B? Are you series C? series C? series C? >> A lot of distractions, yeah. 25 years >> A lot of distractions, yeah. 25 years >> A lot of distractions, yeah. 25 years I've been waiting for my Knicks I've been waiting for my Knicks I've been waiting for my Knicks to win a championship. to win a championship. to win a championship. >> And >> And >> And >> And you played a significant role. >> And you played a significant role. >> And you played a significant role. >> No, the Spurs played a significant >> No, the Spurs played a significant >> No, the Spurs played a significant [laughter] role. They [clears throat] [laughter] role. They [clears throat] [laughter] role. They [clears throat] should have kicked your ass. should have kicked your ass. should have kicked your ass. >> And why didn't they? Why didn't they? >> And why didn't they? Why didn't they? >> And why didn't they? Why didn't they? >> I think it was coaching, lack of >> I think it was coaching, lack of >> I think it was coaching, lack of experience. experience. experience. >> Yeah. >> Yeah. >> Yeah. >> Cuz you're up Put Put aside the 29, >> Cuz you're up Put Put aside the 29, >> Cuz you're up Put Put aside the 29, right? You're up in the fourth quarter right? You're up in the fourth quarter right? You're up in the fourth quarter of every game. Wemby throws it into the of every game. Wemby throws it into the of every game. Wemby throws it into the back of some guy, misses two free back of some guy, misses two free back of some guy, misses two free throws, De'Aaron Fox goes the wrong way. throws, De'Aaron Fox goes the wrong way. throws, De'Aaron Fox goes the wrong way. >> A lot of mistakes. >> A lot of mistakes. >> A lot of mistakes. >> Yeah, and you'd be talking about firing >> Yeah, and you'd be talking about firing >> Yeah, and you'd be talking about firing Mike Brown. Mike Brown. Mike Brown. >> [laughter] >> [laughter] >> [laughter] >> I mean >> I mean >> I mean it was a We were concerned when he got it was a We were concerned when he got it was a We were concerned when he got hired and getting rid of Tibbs. And oh hired and getting rid of Tibbs. And oh hired and getting rid of Tibbs. And oh my god, Tibbs. my god, Tibbs. my god, Tibbs. >> But J.B. was the real deal, right? He's >> But J.B. was the real deal, right? He's >> But J.B. was the real deal, right? He's my Indiana boy, OG, right? He You know, my Indiana boy, OG, right? He You know, my Indiana boy, OG, right? He You know, he saved you guys. So he saved you guys. So he saved you guys. So >> Yeah. >> Yeah. >> Yeah. And you had Jalen Brunson. And you had Jalen Brunson. And you had Jalen Brunson. >> Yep. >> Yep. >> Yep. >> Um >> Um >> Um He left and that was kind of destiny. He left and that was kind of destiny. He left and that was kind of destiny. His family wanted to come to New His family wanted to come to New His family wanted to come to New >> That's what he wanted. I mean, I could >> That's what he wanted. I mean, I could >> That's what he wanted. I mean, I could show you a text where his agent, you show you a text where his agent, you show you a text where his agent, you know, texted me and said he wants his know, texted me and said he wants his know, texted me and said he wants his own team. own team. own team. >> He wants his own team. >> He wants his own team. >> He wants his own team. >> Right. Yeah, he was ready to go before >> Right. Yeah, he was ready to go before >> Right. Yeah, he was ready to go before >> And I I texted or emailed you and I >> And I I texted or emailed you and I >> And I I texted or emailed you and I said, "What's the story?" And like this said, "What's the story?" And like this said, "What's the story?" And like this is what we're going to base the is what we're going to base the is what we're going to base the franchise on. You said, "He's really franchise on. You said, "He's really franchise on. You said, "He's really good. good. good. >> You know what I love? He's a great guy. >> You know what I love? He's a great guy. >> You know what I love? He's a great guy. That's the best part about J.B. He's That's the best part about J.B. He's That's the best part about J.B. He's just really a good human. just really a good human. just really a good human. >> I >> I >> I I was there I was there I was there uh for the fifth game, six rows behind uh for the fifth game, six rows behind uh for the fifth game, six rows behind the bench. the bench. the bench. >> That's cool. >> That's cool. >> That's cool. >> And man, I >> And man, I >> And man, I I just cried. I just cried. I just cried. I just cried. I just cried. I just cried. >> It's been so many years. And you got >> It's been so many years. And you got >> It's been so many years. And you got your chip, too, with Dirk. your chip, too, with Dirk. your chip, too, with Dirk. >> Yep. >> Yep. >> Yep. >> It's so amazing how sports plays such a >> It's so amazing how sports plays such a >> It's so amazing how sports plays such a role in so many people's lives, yeah? role in so many people's lives, yeah? role in so many people's lives, yeah? >> Especially now, look at the World Cup. >> Especially now, look at the World Cup. >> Especially now, look at the World Cup. >> I mean, it's incredible. >> I mean, it's incredible. >> I mean, it's incredible. >> just like sports has just changed >> just like sports has just changed >> just like sports has just changed everything. And you know, like I've been everything. And you know, like I've been everything. And you know, like I've been to four World Cup games in Dallas, and I to four World Cup games in Dallas, and I to four World Cup games in Dallas, and I hate soccer, football. hate soccer, football. hate soccer, football. >> Right. >> Right. >> Right. >> Right? >> Right? >> Right? >> Yeah. >> Yeah. >> Yeah. >> I hate it, but just the whole scene, the >> I hate it, but just the whole scene, the >> I hate it, but just the whole scene, the vibe, the energy, you can't beat it. vibe, the energy, you can't beat it. vibe, the energy, you can't beat it. It's like going to a Knicks game, going It's like going to a Knicks game, going It's like going to a Knicks game, going to a Mavs game, same thing. to a Mavs game, same thing. to a Mavs game, same thing. >> Yeah, and >> Yeah, and >> Yeah, and the NBA is it is it peaked? It it It the NBA is it is it peaked? It it It the NBA is it is it peaked? It it It sounds like sounds like sounds like >> It's hard to say. I mean, you know, for >> It's hard to say. I mean, you know, for >> It's hard to say. I mean, you know, for fans, no, cuz I mean, it just grows on fans, no, cuz I mean, it just grows on fans, no, cuz I mean, it just grows on social media. You know, I I I went um I social media. You know, I I I went um I social media. You know, I I I went um I was walking in Paris, and there was a was walking in Paris, and there was a was walking in Paris, and there was a basketball store, you know, and it had basketball store, you know, and it had basketball store, you know, and it had Wemby jerseys and Gobert jerseys and Wemby jerseys and Gobert jerseys and Wemby jerseys and Gobert jerseys and everything. And so, I mean, it's just everything. And so, I mean, it's just everything. And so, I mean, it's just growing globally. growing globally. growing globally. >> Yeah, it Is Wemby the real deal? >> Yeah, it Is Wemby the real deal? >> Yeah, it Is Wemby the real deal? >> Yeah, he's got he he got humbled, >> Yeah, he's got he he got humbled, >> Yeah, he's got he he got humbled, though. though. though. >> Yeah. >> Yeah. >> Yeah. >> Which is good for him. It's like Dirk in >> Which is good for him. It's like Dirk in >> Which is good for him. It's like Dirk in 2006 got humbled and came back better. 2006 got humbled and came back better. 2006 got humbled and came back better. Wemby will come back bigger, stronger, Wemby will come back bigger, stronger, Wemby will come back bigger, stronger, better. better. better. >> Yeah, it's amazing how he went from this >> Yeah, it's amazing how he went from this >> Yeah, it's amazing how he went from this like incredibly like incredibly like incredibly I don't know, there was a there was a I don't know, there was a there was a I don't know, there was a there was a magic about him to No, he's a villain. magic about him to No, he's a villain. magic about him to No, he's a villain. And he turned into a villain. And he turned into a villain. And he turned into a villain. >> Cuz it was New York and 50-some years, >> Cuz it was New York and 50-some years, >> Cuz it was New York and 50-some years, right? And just the circumstances. And right? And just the circumstances. And right? And just the circumstances. And you know, San Antonio thought they had you know, San Antonio thought they had you know, San Antonio thought they had it in the bag. Everybody It's like I it in the bag. Everybody It's like I it in the bag. Everybody It's like I went to Indiana University, right? And went to Indiana University, right? And went to Indiana University, right? And if anybody here follows football in the if anybody here follows football in the if anybody here follows football in the States, like we were the ultimate States, like we were the ultimate States, like we were the ultimate underdog. We had not had, you know, we underdog. We had not had, you know, we underdog. We had not had, you know, we had not won 10 games. We had We beat had not won 10 games. We had We beat had not won 10 games. We had We beat more top 10 teams last year than we did more top 10 teams last year than we did more top 10 teams last year than we did in 100-plus years of the program. And in 100-plus years of the program. And in 100-plus years of the program. And so, that that just changes so, that that just changes so, that that just changes people's attitude. people's attitude. people's attitude. >> You were very much involved in rule >> You were very much involved in rule >> You were very much involved in rule changes. And we're we're going to get on changes. And we're we're going to get on changes. And we're we're going to get on AI next, but it's just great to talk to AI next, but it's just great to talk to AI next, but it's just great to talk to you about this, since we're both such you about this, since we're both such you about this, since we're both such super fans of the NBA. super fans of the NBA. super fans of the NBA. Seems like the rule changes, the apron, Seems like the rule changes, the apron, Seems like the rule changes, the apron, and and and you know, how punitive it is has created you know, how punitive it is has created you know, how punitive it is has created a lot more parity in the league and a lot more parity in the league and a lot more parity in the league and nobody knows who's going to win. Like nobody knows who's going to win. Like nobody knows who's going to win. Like >> Well, because you have to break up your >> Well, because you have to break up your >> Well, because you have to break up your team, right? Because at some point OKC team, right? Because at some point OKC team, right? Because at some point OKC will have to break up their team. That's will have to break up their team. That's will have to break up their team. That's why they collect all the draft assets why they collect all the draft assets why they collect all the draft assets because you can't have three max because you can't have three max because you can't have three max players. players. players. >> No. >> No. >> No. >> And if one of them turns out to be hurt >> And if one of them turns out to be hurt >> And if one of them turns out to be hurt or not what you expected, or not what you expected, or not what you expected, >> Mhm. >> Mhm. >> Mhm. >> then you're in deep right? And so >> then you're in deep right? And so >> then you're in deep right? And so the second apron is just a complete game the second apron is just a complete game the second apron is just a complete game changer. And you have to be so much changer. And you have to be so much changer. And you have to be so much better at putting together a team than better at putting together a team than better at putting together a team than you were before. And you have to get you were before. And you have to get you were before. And you have to get lucky. Like the Spurs have Wemby on a lucky. Like the Spurs have Wemby on a lucky. Like the Spurs have Wemby on a rookie contract. You know, rookie contract. You know, rookie contract. You know, the the OKC has got, you know, hatchet the the OKC has got, you know, hatchet the the OKC has got, you know, hatchet on a rookie contract. He's not on a on a rookie contract. He's not on a on a rookie contract. He's not on a rookie contract any longer. rookie contract any longer. rookie contract any longer. >> Right. >> Right. >> Right. >> So they have to be even more careful. >> So they have to be even more careful. >> So they have to be even more careful. And so it really changes the strategy And so it really changes the strategy And so it really changes the strategy behind building a roster. behind building a roster. behind building a roster. >> So we we're going to see back-to-backs >> So we we're going to see back-to-backs >> So we we're going to see back-to-backs or any more or any more or any more >> No chance. >> No chance. >> No chance. >> No, I >> No, I >> No, I >> Maybe back-to-backs, but not a What do >> Maybe back-to-backs, but not a What do >> Maybe back-to-backs, but not a What do they call when you have three? The they call when you have three? The they call when you have three? The three-peat. three-peat. three-peat. >> Three-peat, yeah. >> Three-peat, yeah. >> Three-peat, yeah. >> No more three-peats. >> No more three-peats. >> No more three-peats. >> There can be back-to-backs. Like, you >> There can be back-to-backs. Like, you >> There can be back-to-backs. Like, you know, know, know, if Jaylen Jay Williams Jay Dubb hadn't if Jaylen Jay Williams Jay Dubb hadn't if Jaylen Jay Williams Jay Dubb hadn't gotten hurt for OKC, I think they would gotten hurt for OKC, I think they would gotten hurt for OKC, I think they would have beat San Antonio and I think they have beat San Antonio and I think they have beat San Antonio and I think they would have beat the Nets. would have beat the Nets. would have beat the Nets. >> I was worried about them versus the >> I was worried about them versus the >> I was worried about them versus the Knicks. I knew we could beat the Spurs. Knicks. I knew we could beat the Spurs. Knicks. I knew we could beat the Spurs. But I was concerned about the But I was concerned about the But I was concerned about the >> know you could beat the Spurs. >> know you could beat the Spurs. >> know you could beat the Spurs. >> them. Come on. We beat them two out of >> them. Come on. We beat them two out of >> them. Come on. We beat them two out of three of the games of the year. We three of the games of the year. We three of the games of the year. We spanked them. I knew it would be like a spanked them. I knew it would be like a spanked them. I knew it would be like a I I said Knicks in six. It was Knicks in I I said Knicks in six. It was Knicks in I I said Knicks in six. It was Knicks in five. five. five. >> barely beat the Hawks. And then >> barely beat the Hawks. And then >> barely beat the Hawks. And then >> Oh, come on now. We we we were tweaking >> Oh, come on now. We we we were tweaking >> Oh, come on now. We we we were tweaking the offense and we just had to get Kat the offense and we just had to get Kat the offense and we just had to get Kat to buy in as points. to buy in as points. to buy in as points. >> And he was just talking AI. >> And he was just talking AI. >> And he was just talking AI. >> Yeah, let's talk AI. >> Yeah, let's talk AI. >> Yeah, let's talk AI. Um Um Um But it is so great to be a champion. But it is so great to be a champion. But it is so great to be a champion. God, it was God, it was God, it was >> Where's your ring? They didn't give you >> Where's your ring? They didn't give you >> Where's your ring? They didn't give you a ring. a ring. a ring. >> I They didn't yet. No, I'm going to get >> I They didn't yet. No, I'm going to get >> I They didn't yet. No, I'm going to get it at the ring ceremony. it at the ring ceremony. it at the ring ceremony. >> yet. >> yet. >> yet. You got one. You got one. You got one. >> [laughter] >> [laughter] >> [laughter] >> I you know, >> I you know, >> I you know, I always was like, man, I got to follow I always was like, man, I got to follow I always was like, man, I got to follow Cubes and get, you know, a piece of a Cubes and get, you know, a piece of a Cubes and get, you know, a piece of a team. team. team. >> me you want to buy a team. >> me you want to buy a team. >> me you want to buy a team. >> wanted to get like a, you know, a piece >> wanted to get like a, you know, a piece >> wanted to get like a, you know, a piece of the Knicks, and now it's like my net of the Knicks, and now it's like my net of the Knicks, and now it's like my net worth doing great. The value of the team worth doing great. The value of the team worth doing great. The value of the team is disconnected from reality. I mean, my is disconnected from reality. I mean, my is disconnected from reality. I mean, my only chance is to call like Elon and be only chance is to call like Elon and be only chance is to call like Elon and be like Yeah. like Yeah. like Yeah. >> the valuations is it's not driven by >> the valuations is it's not driven by >> the valuations is it's not driven by attendance, it's not driven by wins or attendance, it's not driven by wins or attendance, it's not driven by wins or losses, it's driven by subscriptions to losses, it's driven by subscriptions to losses, it's driven by subscriptions to streaming services. streaming services. streaming services. >> Wow. >> Wow. >> Wow. >> And and it's going to be interesting to >> And and it's going to be interesting to >> And and it's going to be interesting to see because it used to be we looked at see because it used to be we looked at see because it used to be we looked at ratings, TV ratings, and people said the ratings, TV ratings, and people said the ratings, TV ratings, and people said the NBA was underperforming versus everybody NBA was underperforming versus everybody NBA was underperforming versus everybody else. Now the Knicks play, obviously else. Now the Knicks play, obviously else. Now the Knicks play, obviously there's some pin up um demand there, but there's some pin up um demand there, but there's some pin up um demand there, but what really matters is the number of what really matters is the number of what really matters is the number of subscribers Peacock gets, ESPN gets. subscribers Peacock gets, ESPN gets. subscribers Peacock gets, ESPN gets. It's the ratings sell for ad sales, but It's the ratings sell for ad sales, but It's the ratings sell for ad sales, but it's more subscribers. it's more subscribers. it's more subscribers. >> I mean, I literally had to subscribe to >> I mean, I literally had to subscribe to >> I mean, I literally had to subscribe to like I think one or two more services like I think one or two more services like I think one or two more services just just just >> Well, that's the whole point, right? And >> Well, that's the whole point, right? And >> Well, that's the whole point, right? And did you keep them is the question. did you keep them is the question. did you keep them is the question. >> Yeah, I'll keep them, sure. I mean >> Yeah, I'll keep them, sure. I mean >> Yeah, I'll keep them, sure. I mean >> But there will there be churn? If >> But there will there be churn? If >> But there will there be churn? If there's churn, there's churn, there's churn, who knows what happens with valuations. who knows what happens with valuations. who knows what happens with valuations. If there's not, valuations keep on If there's not, valuations keep on If there's not, valuations keep on going. going. going. >> Wow. >> Wow. >> Wow. >> It's so crazy. >> It's so crazy. >> It's so crazy. >> All right, listen. There's your uh 45 >> All right, listen. There's your uh 45 >> All right, listen. There's your uh 45 minutes with Mark Cuban, the one and minutes with Mark Cuban, the one and minutes with Mark Cuban, the one and only. only. only. >> I'm going all in. >> I'm going all >> I'm going all >> [music]