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Travis Kalanick & Michael Dell Live from Austin, Texas

Travis Kalanick emerged from seven years of stealth mode to announce Atoms, a company building 'physical AI' across food, mining, and transportation. The core insight: just as Uber digitized transportation without building roads, the next wave requires building entirely new infrastructure. His frame

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Key Takeaway

Travis Kalanick emerged from seven years of stealth mode to announce Atoms, a company building 'physical AI' across food, mining, and transportation. The core insight: just as Uber digitized transportation without building roads, the next wave requires building entirely new infrastructure. His framework treats atoms like bits—manufacturing (manipulates atoms), real estate (stores atoms), and logistics (moves atoms) form the three core computing resources for physical automation.

Episode Overview

Travis Kalanick reveals Atoms, his stealth company focused on physical automation across multiple industries. After seven years of secretive development with thousands of employees unable to list the company on LinkedIn, Kalanick discusses his vision for 'digitizing the physical world' through specialized robots and infrastructure. The conversation covers his move from California to Austin, the state of autonomous vehicles, and his philosophy that 'truth and justice are the immune system for society.' He frames physical AI as requiring fundamentally different infrastructure than software, drawing parallels to how Uber needed existing roads but food delivery requires purpose-built facilities.

Main Insights

Atoms-Based Computing Framework

Kalanick presents a novel framework for physical AI by treating atoms like bits. In digital computing, you have CPU (manipulates bits), storage (stores bits), and network (moves bits). For physical automation, manufacturing manipulates atoms, real estate stores atoms, and transportation/logistics moves atoms. This mental model helps identify where to build infrastructure for physical industries.

The Infrastructure Gap in Food Delivery

While Uber achieved 13% of all San Francisco miles as Uber miles, restaurants can't support similar utilization for food delivery—they operate at only 20% capacity. Just as e-commerce required Amazon's massive warehouses and logistics, food e-commerce requires purpose-built industrial production facilities and logistics systems that don't currently exist at scale.

Truth and Justice as Society's Immune System

Kalanick offers the aphorism: 'Truth and justice are the immune system for society. When the immune system is suppressed, all the social ills flare up.' He suggests focusing on areas where truth and justice are deteriorating, because fixing those root causes will improve everything downstream. This framework helps diagnose societal problems and prioritize solutions.

The ChatGPT Moment for Vision

The critical question for autonomous vehicles is when vision-based AI will have its 'ChatGPT moment'—that sudden leap in capability that makes the technology unmistakably real. Waymo has the existence proof but lacks manufacturing scale and urgency. Tesla has the fundamentals and science but the timeline remains uncertain, possibly happening tomorrow or in five years.

Language as Compression for Physical AI

Humans operate on just 100 watts of energy while autonomous systems use 100 times more. Language serves as an incredibly efficient compression mechanism for humans. For physical AI to scale, we need to find similar compression strategies—agents that can communicate efficiently rather than processing every data point, knowing that irrelevant details (like clouds while driving) don't need processing.

Notable Quotes

"Truth and justice are the immune system for society. When when the immune system is suppressed, all the social ills flare up."

Travis Kalanick

"You do to the kitchen what Uber did to the car. But in the Uber day, the roads were there, the cars are unused. You just had to put an app in the app store. Wasn't that easy, but kind of that easy."

Travis Kalanick

"Tesla's got this. They are they are the Google of this era."

Travis Kalanick

"The Whimo machine takes a hundred times more energy to drive a Whimo than a human does to drive a Whimo."

Travis Kalanick

"If you didn't have capital didn't matter how good your app was because MASA is going to put a billion dollars into your competitor and you're going to lose 20% market share tomorrow."

Travis Kalanick

Action Items

Suggested exercises inspired by the conversation.

  • 1
    Apply the Physical AI Stack Framework

    When evaluating physical automation opportunities, assess all three layers: manipulation (manufacturing), storage (real estate), and movement (logistics). Identify which pieces are missing or inefficient in your target industry, as these represent infrastructure gaps and potential competitive advantages.

  • 2
    Identify Truth and Justice Deterioration

    Look for areas in your organization, community, or industry where truth and justice are being compromised. Focus efforts on strengthening these foundational elements rather than treating downstream symptoms. Examples include enforcing accountability, maintaining transparent communication, and ensuring fair treatment of all stakeholders.

  • 3
    Build for Specialized Applications First

    Rather than pursuing general-purpose humanoid robots, focus on 'gainfully employed robots'—specialized automation for specific high-value tasks. This approach allows faster deployment, clearer ROI, and avoids the complexity of matching human dexterity and versatility before the technology is ready.

  • 4
    Treat Capital as Strategic Infrastructure

    In capital-intensive industries, make fundraising a core competency rather than an afterthought. Secure capital not just when needed, but strategically to create competitive moats. This is especially critical in industries with network effects or where scale provides fundamental advantages in unit economics.

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Full Transcript

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I don't know if some of you knew I was I don't know if some of you knew I was an angel investor in some companies. an angel investor in some companies. an angel investor in some companies. On the count of three, what's my On the count of three, what's my On the count of three, what's my favorite angel investment of all time? favorite angel investment of all time? favorite angel investment of all time? One, two, three. One, two, three. One, two, three. >> Thank you. Give it up. Travis Kalanick. >> Appreciate you. All right. Wow. Um, on a >> Appreciate you. All right. Wow. Um, on a big news day, Travis is here on a very big news day, Travis is here on a very big news day, Travis is here on a very big news day. you spent uh wow I guess big news day. you spent uh wow I guess big news day. you spent uh wow I guess like seven years just in the lab like seven years just in the lab like seven years just in the lab building last year every year I ask you building last year every year I ask you building last year every year I ask you hey you want to come to the summit you hey you want to come to the summit you hey you want to come to the summit you want to say no it's like I'm going to want to say no it's like I'm going to want to say no it's like I'm going to just chill I'm building next year hey just chill I'm building next year hey just chill I'm building next year hey you know just it's always available you know just it's always available you know just it's always available >> you understand I'm stealth >> you understand I'm stealth >> you understand I'm stealth >> yeah stealth I'm stealth nobody knows >> yeah stealth I'm stealth nobody knows >> yeah stealth I'm stealth nobody knows where I am nobody knows what I'm doing where I am nobody knows what I'm doing where I am nobody knows what I'm doing the employees are not allowed to put the the employees are not allowed to put the the employees are not allowed to put the name of the company on their LinkedIn name of the company on their LinkedIn name of the company on their LinkedIn >> thousands of employees that weren't >> thousands of employees that weren't >> thousands of employees that weren't allowed to put the company name on allowed to put the company name on allowed to put the company name on LinkedIn I mean, incredible. And I'm LinkedIn I mean, incredible. And I'm LinkedIn I mean, incredible. And I'm like, "Okay." And like, "Okay." And like, "Okay." And >> their parents thought they worked for >> their parents thought they worked for >> their parents thought they worked for the CIA. the CIA. the CIA. >> Yeah. And then he's like, "And by the >> Yeah. And then he's like, "And by the >> Yeah. And then he's like, "And by the way, Jake Al, you can invest. You can't way, Jake Al, you can invest. You can't way, Jake Al, you can invest. You can't announce it and you have to sign an you announce it and you have to sign an you announce it and you have to sign an you can't mention you're an investor." It's can't mention you're an investor." It's can't mention you're an investor." It's like, "Okay, no problem. I'm just happy like, "Okay, no problem. I'm just happy like, "Okay, no problem. I'm just happy to be on the cap table." to be on the cap table." to be on the cap table." >> Is he like kind of like secret saying >> Is he like kind of like secret saying >> Is he like kind of like secret saying what he wasn't supposed to say, what he wasn't supposed to say, what he wasn't supposed to say, >> right? Now he's doing that just >> right? Now he's doing that just >> right? Now he's doing that just happened. happened. happened. >> Well, you know, you're out now. It Let's >> Well, you know, you're out now. It Let's >> Well, you know, you're out now. It Let's go. go. go. >> You're out. It's out. You're You came >> You're out. It's out. You're You came >> You're out. It's out. You're You came out of stealth today. out of stealth today. out of stealth today. >> Um, >> Um, >> Um, >> it's so funny. Okay. >> it's so funny. Okay. >> it's so funny. Okay. >> It's so great. You came out of stealth. >> It's so great. You came out of stealth. >> It's so great. You came out of stealth. Well, you you talked a little bit. You Well, you you talked a little bit. You Well, you you talked a little bit. You came to Allins last year. Is that fair? came to Allins last year. Is that fair? came to Allins last year. Is that fair? You say you're coming out of stealth You say you're coming out of stealth You say you're coming out of stealth today. Is that right? today. Is that right? today. Is that right? >> Well, look, let let's just start with >> Well, look, let let's just start with >> Well, look, let let's just start with what that meant for our employees what that meant for our employees what that meant for our employees because again, imagine if you're at a because again, imagine if you're at a because again, imagine if you're at a multi,000 person company and every multi,000 person company and every multi,000 person company and every single employee has stealth on their single employee has stealth on their single employee has stealth on their LinkedIn, LinkedIn, LinkedIn, including salespeople, including salespeople, including salespeople, okay? Including recruiters. okay? Including recruiters. okay? Including recruiters. Like it was they they were they were Like it was they they were they were Like it was they they were they were living life on hard mode. It living life on hard mode. It living life on hard mode. It >> was kind of fun too, right? I mean >> was kind of fun too, right? I mean >> was kind of fun too, right? I mean >> I mean yeah it was like kind of cool >> I mean yeah it was like kind of cool >> I mean yeah it was like kind of cool what the what's what is this? Why are what the what's what is this? Why are what the what's what is this? Why are there why is this massive density of there why is this massive density of there why is this massive density of stealth stealth stealth >> right >> right >> right >> startup people in Los Angeles? What is >> startup people in Los Angeles? What is >> startup people in Los Angeles? What is happening over there? happening over there? happening over there? >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Also technically the name of the company >> Also technically the name of the company >> Also technically the name of the company in different countries was very generic in different countries was very generic in different countries was very generic names of companies. I mean everything names of companies. I mean everything names of companies. I mean everything was designed to be stealth, was designed to be stealth, was designed to be stealth, >> right? >> right? >> right? >> So we operate in 30 countries. In the US >> So we operate in 30 countries. In the US >> So we operate in 30 countries. In the US the kitchens product is known as cloud the kitchens product is known as cloud the kitchens product is known as cloud kitchens. kitchens. kitchens. In Korea In Korea In Korea it's Kitchen Valley. it's Kitchen Valley. it's Kitchen Valley. In the Middle East it's Nama. In the Middle East it's Nama. In the Middle East it's Nama. In In In Latin America, parts of Latin America Latin America, parts of Latin America Latin America, parts of Latin America it's Cinaas. it's Cinaas. it's Cinaas. I mean you get the idea. You can't even I mean you get the idea. You can't even I mean you get the idea. You can't even remember all the names and all the code remember all the names and all the code remember all the names and all the code words. words. words. >> Think about it. >> Think about it. >> Think about it. >> To think it through. But >> To think it through. But >> To think it through. But >> we have four in China, you know, it's >> we have four in China, you know, it's >> we have four in China, you know, it's like all over the place. Yeah. like all over the place. Yeah. like all over the place. Yeah. >> But things have gone really well and >> But things have gone really well and >> But things have gone really well and you've been a little inquisitive. So you've been a little inquisitive. So you've been a little inquisitive. So tell us about the branding today that tell us about the branding today that tell us about the branding today that you're announcing and then maybe some of you're announcing and then maybe some of you're announcing and then maybe some of the acquisitions and evolution of the the acquisitions and evolution of the the acquisitions and evolution of the company. You're not just renting kitchen company. You're not just renting kitchen company. You're not just renting kitchen space. space. space. >> Those who I mean know how I thought >> Those who I mean know how I thought >> Those who I mean know how I thought about things in the Uber day, a lot of about things in the Uber day, a lot of about things in the Uber day, a lot of this stuff's not surprising. I I would this stuff's not surprising. I I would this stuff's not surprising. I I would often talk about digitizing the physical often talk about digitizing the physical often talk about digitizing the physical world. I think I even did it all at world. I think I even did it all at world. I think I even did it all at summit. The quick version of this, I'll summit. The quick version of this, I'll summit. The quick version of this, I'll try to do it quickly, but it's like uh try to do it quickly, but it's like uh try to do it quickly, but it's like uh we know the bits world, the computer we know the bits world, the computer we know the bits world, the computer world, the one that Michael Dell world, the one that Michael Dell world, the one that Michael Dell essentially invented for us. CPU, essentially invented for us. CPU, essentially invented for us. CPU, storage, network. These are three core storage, network. These are three core storage, network. These are three core computing resources. When you go to computing resources. When you go to computing resources. When you go to computer science class your first day, computer science class your first day, computer science class your first day, three core computer resources. CPU three core computer resources. CPU three core computer resources. CPU manipulates the bits. Storage stores the manipulates the bits. Storage stores the manipulates the bits. Storage stores the bits. Network moves bits from point A to bits. Network moves bits from point A to bits. Network moves bits from point A to point B. But if you're digitizing the point B. But if you're digitizing the point B. But if you're digitizing the physical world, you're treating atoms physical world, you're treating atoms physical world, you're treating atoms like bits. like bits. like bits. You're building an atomsbased computer. You're building an atomsbased computer. You're building an atomsbased computer. And I'll explain what I mean to say. I And I'll explain what I mean to say. I And I'll explain what I mean to say. I know this is a little little out there. know this is a little little out there. know this is a little little out there. CPU manipulates bits. What manipulates CPU manipulates bits. What manipulates CPU manipulates bits. What manipulates atoms? Manufacturing. Storage stores atoms? Manufacturing. Storage stores atoms? Manufacturing. Storage stores bits. What stores atoms? Real estate. bits. What stores atoms? Real estate. bits. What stores atoms? Real estate. Network moves bits from point A to point Network moves bits from point A to point Network moves bits from point A to point B. What moves atoms? That's B. What moves atoms? That's B. What moves atoms? That's transportation or logistics. So you have transportation or logistics. So you have transportation or logistics. So you have these three core computing resources in these three core computing resources in these three core computing resources in an atomsbased computer. The name of my an atomsbased computer. The name of my an atomsbased computer. The name of my company was very obtuse and purposely company was very obtuse and purposely company was very obtuse and purposely designed to be as boring as hell was designed to be as boring as hell was designed to be as boring as hell was called City Storage Systems. called City Storage Systems. called City Storage Systems. So that's digitized real estate in an So that's digitized real estate in an So that's digitized real estate in an atomsbased computer. Our first computer atomsbased computer. Our first computer atomsbased computer. Our first computer being a food computer. What does that being a food computer. What does that being a food computer. What does that mean? Manufacturing real estate and mean? Manufacturing real estate and mean? Manufacturing real estate and logistics for food. logistics for food. logistics for food. And so you start to get there and the And so you start to get there and the And so you start to get there and the idea the the mission was infrastructure idea the the mission was infrastructure idea the the mission was infrastructure for better food. The idea was, can you for better food. The idea was, can you for better food. The idea was, can you get a meal that's prepared and delivered get a meal that's prepared and delivered get a meal that's prepared and delivered to you so efficient that it starts to to you so efficient that it starts to to you so efficient that it starts to approach the the the cost of going to approach the the the cost of going to approach the the the cost of going to the grocery store? If you can do that, the grocery store? If you can do that, the grocery store? If you can do that, you do to the kitchen what Uber did to you do to the kitchen what Uber did to you do to the kitchen what Uber did to the car. But in the Uber day, the roads the car. But in the Uber day, the roads the car. But in the Uber day, the roads were there, the cars are unused. You were there, the cars are unused. You were there, the cars are unused. You just had to put an app in the app store. just had to put an app in the app store. just had to put an app in the app store. Wasn't that easy, but kind of that easy. Wasn't that easy, but kind of that easy. Wasn't that easy, but kind of that easy. In this world, you can't do this on a In this world, you can't do this on a In this world, you can't do this on a restaurant. restaurant doesn't have. restaurant. restaurant doesn't have. restaurant. restaurant doesn't have. When I left Uber, 13% of all San When I left Uber, 13% of all San When I left Uber, 13% of all San Francisco miles were Uber miles. Francisco miles were Uber miles. Francisco miles were Uber miles. You can't get and that was 10 nine years You can't get and that was 10 nine years You can't get and that was 10 nine years ago. You can't get there on food on ago. You can't get there on food on ago. You can't get there on food on restaurants. They they have like 20% restaurants. They they have like 20% restaurants. They they have like 20% capacity. Uber Eats and Door Dash fill capacity. Uber Eats and Door Dash fill capacity. Uber Eats and Door Dash fill it, but the infrastructure to do high it, but the infrastructure to do high it, but the infrastructure to do high capacity, highcale sort of capacity, highcale sort of capacity, highcale sort of industrial production is just not there. industrial production is just not there. industrial production is just not there. And the logistics just not there. It And the logistics just not there. It And the logistics just not there. It just doesn't work. That's why on just doesn't work. That's why on just doesn't work. That's why on e-commerce you go through Amazon big ass e-commerce you go through Amazon big ass e-commerce you go through Amazon big ass warehouses with awesome logistics. warehouses with awesome logistics. warehouses with awesome logistics. You've got to do the same thing when You've got to do the same thing when You've got to do the same thing when food when food goes to e-commerce. That food when food goes to e-commerce. That food when food goes to e-commerce. That was a lot. Okay. So bottom line is was a lot. Okay. So bottom line is was a lot. Okay. So bottom line is >> it's awesome. We do this food >> it's awesome. We do this food >> it's awesome. We do this food computation stuff. We're doing more computation stuff. We're doing more computation stuff. We're doing more computers now. And so the name of the computers now. And so the name of the computers now. And so the name of the company is called atoms and it's let's company is called atoms and it's let's company is called atoms and it's let's say the mission uh is um is uh physical say the mission uh is um is uh physical say the mission uh is um is uh physical automation to transform industries and automation to transform industries and automation to transform industries and move the world. And so we have our food move the world. And so we have our food move the world. And so we have our food computer I talked about. Then we do computer I talked about. Then we do computer I talked about. Then we do we're doing mining. we're doing mining. we're doing mining. >> Mining as in >> Mining as in >> Mining as in >> mining data mining. >> mining data mining. >> mining data mining. >> We're talking about atoms guys. >> We're talking about atoms guys. >> We're talking about atoms guys. >> Yeah. >> Yeah. >> Yeah. >> So well of course you do some mining >> So well of course you do some mining >> So well of course you do some mining data mine too but the point is is data mine too but the point is is data mine too but the point is is physical mining. So automation of mines physical mining. So automation of mines physical mining. So automation of mines and uh the mission there is and uh the mission there is and uh the mission there is uh more productive minds to power uh more productive minds to power uh more productive minds to power earth's industries. Right? So it's got earth's industries. Right? So it's got earth's industries. Right? So it's got this industrial atoms vibe to it. And this industrial atoms vibe to it. And this industrial atoms vibe to it. And then on the transport side, it's uh then on the transport side, it's uh then on the transport side, it's uh wheelbase for robots because if you're wheelbase for robots because if you're wheelbase for robots because if you're doing specialized robots, not humanoids, doing specialized robots, not humanoids, doing specialized robots, not humanoids, specialized robots, specialized robots, specialized robots, you need to be able to move and act in you need to be able to move and act in you need to be able to move and act in the physical world. But the minute the physical world. But the minute the physical world. But the minute you're moving, you got to have a you're moving, you got to have a you're moving, you got to have a wheelbase. So, it's just part of the wheelbase. So, it's just part of the wheelbase. So, it's just part of the equation. And a lot of people go, look equation. And a lot of people go, look equation. And a lot of people go, look at Tesla, it's great. Look at uh look at at Tesla, it's great. Look at uh look at at Tesla, it's great. Look at uh look at Whimo. Awesome. They're cruising around Whimo. Awesome. They're cruising around Whimo. Awesome. They're cruising around Austin, of course. But there's so many Austin, of course. But there's so many Austin, of course. But there's so many things that move. It's not just a ride things that move. It's not just a ride things that move. It's not just a ride sharing thing. Um, and so, um, obviously sharing thing. Um, and so, um, obviously sharing thing. Um, and so, um, obviously including mining equipment that's doing including mining equipment that's doing including mining equipment that's doing its thing. So you guys, that's the its thing. So you guys, that's the its thing. So you guys, that's the general sort of idea. And we acquired a general sort of idea. And we acquired a general sort of idea. And we acquired a company on the mining stuff, a company company on the mining stuff, a company company on the mining stuff, a company called Pronto or it's about to close. called Pronto or it's about to close. called Pronto or it's about to close. It's we're we're inches from closing is It's we're we're inches from closing is It's we're we're inches from closing is the way to put it. the way to put it. the way to put it. >> What were they doing? What was their >> What were they doing? What was their >> What were they doing? What was their business? Pronto business? Pronto business? Pronto >> automating mining equipment. >> automating mining equipment. >> automating mining equipment. >> Were they based? >> Were they based? >> Were they based? >> Uh, they're based in San Francisco. So, >> Uh, they're based in San Francisco. So, >> Uh, they're based in San Francisco. So, you and I were starting to talk about you and I were starting to talk about you and I were starting to talk about this backstage, but there's some folks I this backstage, but there's some folks I this backstage, but there's some folks I talked to in the mining industry who talked to in the mining industry who talked to in the mining industry who mentioned, you know, like the the big mentioned, you know, like the the big mentioned, you know, like the the big issue with mining number one is just issue with mining number one is just issue with mining number one is just surveying, like finding the the surveying, like finding the the surveying, like finding the the locations, right? Is there an advantage locations, right? Is there an advantage locations, right? Is there an advantage to be created there? Cuz I know there's to be created there? Cuz I know there's to be created there? Cuz I know there's a couple startups that are trying to be a couple startups that are trying to be a couple startups that are trying to be really smart about selecting locations really smart about selecting locations really smart about selecting locations to get the targets out of the ground. to get the targets out of the ground. to get the targets out of the ground. >> Yeah. >> Yeah. >> Yeah. >> And then the other one is like, well, >> And then the other one is like, well, >> And then the other one is like, well, can you go deep? Because pretty much can you go deep? Because pretty much can you go deep? Because pretty much anywhere on Earth, you can get whatever anywhere on Earth, you can get whatever anywhere on Earth, you can get whatever you want if you're willing to go deep you want if you're willing to go deep you want if you're willing to go deep enough, but the cost is is distance enough, but the cost is is distance enough, but the cost is is distance squared, right? So the energy cost is squared, right? So the energy cost is squared, right? So the energy cost is like how deep are you going to the to to like how deep are you going to the to to like how deep are you going to the to to the second power. So it becomes you know the second power. So it becomes you know the second power. So it becomes you know geometrically more expensive to go geometrically more expensive to go geometrically more expensive to go deeper but the deeper you go you're the deeper but the deeper you go you're the deeper but the deeper you go you're the more you're able to kind of not worry more you're able to kind of not worry more you're able to kind of not worry about getting the right location. So about getting the right location. So about getting the right location. So does automation unlock that capacity? does automation unlock that capacity? does automation unlock that capacity? >> Automation definitely does. I mean, but >> Automation definitely does. I mean, but >> Automation definitely does. I mean, but you have I mean, also it's like, man, you have I mean, also it's like, man, you have I mean, also it's like, man, does Boring Company have some good stuff does Boring Company have some good stuff does Boring Company have some good stuff going? going? going? >> Like I hope we we're like we're doing >> Like I hope we we're like we're doing >> Like I hope we we're like we're doing the mining thing like and Boring Goes the mining thing like and Boring Goes the mining thing like and Boring Goes makes, you know, some good tunnels for makes, you know, some good tunnels for makes, you know, some good tunnels for for cars to do the thing. But like for cars to do the thing. But like for cars to do the thing. But like there's some kind of boring mechanism, there's some kind of boring mechanism, there's some kind of boring mechanism, automated tunneling to do some of this. automated tunneling to do some of this. automated tunneling to do some of this. But to be honest, there's there's, you But to be honest, there's there's, you But to be honest, there's there's, you know, they have this this thing is like know, they have this this thing is like know, they have this this thing is like rare earths. I don't know why they put rare earths. I don't know why they put rare earths. I don't know why they put plural rare earths, isn't it? Rar's plural rare earths, isn't it? Rar's plural rare earths, isn't it? Rar's earth. I don't know. But the earth. I don't know. But the earth. I don't know. But the >> but rare rare >> but rare rare >> but rare rare >> rare earth. >> rare earth. >> rare earth. >> Yeah. But it's not rare. >> Yeah. But it's not rare. >> Yeah. But it's not rare. >> It's uncommon mineral guys. It's not >> It's uncommon mineral guys. It's not >> It's uncommon mineral guys. It's not rare. It's what you have to do to the rare. It's what you have to do to the rare. It's what you have to do to the land is aggressive. And what's rare is land is aggressive. And what's rare is land is aggressive. And what's rare is the is is where the where are the places the is is where the where are the places the is is where the where are the places they'll let you do it that you can also they'll let you do it that you can also they'll let you do it that you can also sort of get people to. sort of get people to. sort of get people to. >> When you automate, you can go to a lot >> When you automate, you can go to a lot >> When you automate, you can go to a lot of places. Uh well, first is all the of places. Uh well, first is all the of places. Uh well, first is all the mines that exist are way more mines that exist are way more mines that exist are way more productive. Um and the second is you can productive. Um and the second is you can productive. Um and the second is you can then sort of justify going to places you then sort of justify going to places you then sort of justify going to places you wouldn't have been able to go before wouldn't have been able to go before wouldn't have been able to go before because um you don't have as much of a because um you don't have as much of a because um you don't have as much of a labor footprint or a safety issue or a labor footprint or a safety issue or a labor footprint or a safety issue or a whole bunch of other things that then whole bunch of other things that then whole bunch of other things that then >> So if it's inhospitable, if it's >> So if it's inhospitable, if it's >> So if it's inhospitable, if it's regulated, if it's like I don't want to regulated, if it's like I don't want to regulated, if it's like I don't want to live there, it's the end of the earth. live there, it's the end of the earth. live there, it's the end of the earth. >> Yeah. >> Yeah. >> Yeah. >> You can send robots and have people >> You can send robots and have people >> You can send robots and have people monitoring them remotely. Yeah. monitoring them remotely. Yeah. monitoring them remotely. Yeah. >> And this is like a a future that feels >> And this is like a a future that feels >> And this is like a a future that feels like a little bit like science fiction. like a little bit like science fiction. like a little bit like science fiction. >> Look, we're here in Austin. You got to >> Look, we're here in Austin. You got to >> Look, we're here in Austin. You got to do the shout out to Tesla and all the do the shout out to Tesla and all the do the shout out to Tesla and all the things cuz I like to sort of break down things cuz I like to sort of break down things cuz I like to sort of break down the physical AI stack the physical AI stack the physical AI stack includes not just like, oh yeah, includes not just like, oh yeah, includes not just like, oh yeah, computation and I've got to have computation and I've got to have computation and I've got to have physical AI models and I got to all the physical AI models and I got to all the physical AI models and I got to all the things you sort of think of. What about things you sort of think of. What about things you sort of think of. What about land development? That should be in that land development? That should be in that land development? That should be in that stack. What about chemistry? that needs stack. What about chemistry? that needs stack. What about chemistry? that needs to be in the stack. Manufacturing needs to be in the stack. Manufacturing needs to be in the stack. Manufacturing needs to be in the stack. When you look at the to be in the stack. When you look at the to be in the stack. When you look at the stack, you're like, damn, Tesla's got stack, you're like, damn, Tesla's got stack, you're like, damn, Tesla's got this. They are they are the Google of this. They are they are the Google of this. They are they are the Google of this era. Which is what I mean by that this era. Which is what I mean by that this era. Which is what I mean by that is in the 2000s, if you were doing a is in the 2000s, if you were doing a is in the 2000s, if you were doing a startup in the 2000s, the first question startup in the 2000s, the first question startup in the 2000s, the first question you would get is uh why isn't why isn't you would get is uh why isn't why isn't you would get is uh why isn't why isn't Google going to kill you or why isn't Google going to kill you or why isn't Google going to kill you or why isn't Google just going to do it? Google just going to do it? Google just going to do it? >> Why Google? >> Why Google? >> Why Google? >> They're not going to know that they >> They're not going to know that they >> They're not going to know that they killed you. killed you. killed you. >> And before that, Microsoft. >> And before that, Microsoft. >> And before that, Microsoft. >> And before that was Microsoft late 90s. >> And before that was Microsoft late 90s. >> And before that was Microsoft late 90s. Uber had a time 2010. Uber had a time 2010. Uber had a time 2010. >> What if Uber puts that in the app? >> What if Uber puts that in the app? >> What if Uber puts that in the app? >> Come on. It's like, dude, this is Uber. >> Come on. It's like, dude, this is Uber. >> Come on. It's like, dude, this is Uber. I'm like, but you know, I think in the I'm like, but you know, I think in the I'm like, but you know, I think in the physical AI space, that's a that's sort physical AI space, that's a that's sort physical AI space, that's a that's sort of a Tesla thing. Um, but there's so of a Tesla thing. Um, but there's so of a Tesla thing. Um, but there's so many things to do. many things to do. many things to do. You got to shoot your shot. You got to You got to shoot your shot. You got to You got to shoot your shot. You got to do some stuff. do some stuff. do some stuff. >> And rumors that um, hey, you might not >> And rumors that um, hey, you might not >> And rumors that um, hey, you might not be done with self-driving, something be done with self-driving, something be done with self-driving, something that you were very early on. How do you that you were very early on. How do you that you were very early on. How do you think about what you're seeing in the think about what you're seeing in the think about what you're seeing in the playing field of self-driving? Because playing field of self-driving? Because playing field of self-driving? Because my lord, you know, Whimo's making great my lord, you know, Whimo's making great my lord, you know, Whimo's making great progress. Tesla's making great progress. progress. Tesla's making great progress. progress. Tesla's making great progress. >> Pick a winner. Like pick a winner >> Pick a winner. Like pick a winner >> Pick a winner. Like pick a winner between Tesla, Tesla, Whimo, Uber, between Tesla, Tesla, Whimo, Uber, between Tesla, Tesla, Whimo, Uber, >> or or like Uber. Uber Uber seems to be >> or or like Uber. Uber Uber seems to be >> or or like Uber. Uber Uber seems to be building a network of stuff. building a network of stuff. building a network of stuff. >> Yeah. I mean, the number of >> Yeah. I mean, the number of >> Yeah. I mean, the number of >> pick a winner. >> pick a winner. >> pick a winner. >> The number of players is crazy now, >> The number of players is crazy now, >> The number of players is crazy now, right? Like right? Like right? Like >> Yeah. Look, there's I think there's more >> Yeah. Look, there's I think there's more >> Yeah. Look, there's I think there's more noise. There's more bark than there is noise. There's more bark than there is noise. There's more bark than there is bite right now. Um, look, I think Whimo bite right now. Um, look, I think Whimo bite right now. Um, look, I think Whimo obviously is ahead. the existence proof obviously is ahead. the existence proof obviously is ahead. the existence proof is there. Their issue is manufacturing is there. Their issue is manufacturing is there. Their issue is manufacturing and scale um and urgency and fierceness and scale um and urgency and fierceness and scale um and urgency and fierceness like let's like let's like let's >> come on. Let's go. >> come on. Let's go. >> come on. Let's go. >> Yeah. >> Yeah. >> Yeah. >> You know, Uber had an autonomy project >> You know, Uber had an autonomy project >> You know, Uber had an autonomy project back in the day. So, and they have a back in the day. So, and they have a back in the day. So, and they have a different strategy these days. I haven't different strategy these days. I haven't different strategy these days. I haven't been there for a while. So, but the but been there for a while. So, but the but been there for a while. So, but the but the point is is that you so you got the point is is that you so you got the point is is that you so you got Whimo, then you've got Tesla Whimo, then you've got Tesla Whimo, then you've got Tesla fundamentals, fundamentals, fundamentals, science, science, science, hard mode times 100. And the question hard mode times 100. And the question hard mode times 100. And the question is, do they get there in what time is, do they get there in what time is, do they get there in what time scale? scale? scale? If if they and like honestly everybody's If if they and like honestly everybody's If if they and like honestly everybody's like, could happen tomorrow, could like, could happen tomorrow, could like, could happen tomorrow, could happen in 5 years. happen in 5 years. happen in 5 years. And I think that it's like when does the And I think that it's like when does the And I think that it's like when does the chat GPT moment happen for vision is chat GPT moment happen for vision is chat GPT moment happen for vision is basically the thing. Let's call it basically the thing. Let's call it basically the thing. Let's call it vision without other sensors. So super vision without other sensors. So super vision without other sensors. So super inspiring, but like what's the timeline inspiring, but like what's the timeline inspiring, but like what's the timeline on it? on it? on it? >> Yeah. >> Yeah. >> Yeah. >> Um those are the bas this is basically >> Um those are the bas this is basically >> Um those are the bas this is basically the and then there's a lot of other the and then there's a lot of other the and then there's a lot of other little guys that don't really have the little guys that don't really have the little guys that don't really have the stuff I believe yet. stuff I believe yet. stuff I believe yet. >> There's nobody standing out just yet of >> There's nobody standing out just yet of >> There's nobody standing out just yet of of the others. Do you think we're at a of the others. Do you think we're at a of the others. Do you think we're at a point now like obviously now that you're point now like obviously now that you're point now like obviously now that you're getting into more of these kind of getting into more of these kind of getting into more of these kind of autonomous systems that move around like autonomous systems that move around like autonomous systems that move around like do we have these vision language action do we have these vision language action do we have these vision language action models tuned and ready for prime time? models tuned and ready for prime time? models tuned and ready for prime time? There's there's been a conversation like There's there's been a conversation like There's there's been a conversation like who's going to have the Android the who's going to have the Android the who's going to have the Android the operating system for vision language operating system for vision language operating system for vision language action where I can use my voice tell it action where I can use my voice tell it action where I can use my voice tell it to do something and it knows what I'm to do something and it knows what I'm to do something and it knows what I'm saying and then it identifies the saying and then it identifies the saying and then it identifies the objects and does the thing in the objects and does the thing in the objects and does the thing in the physical world. Do those models exist physical world. Do those models exist physical world. Do those models exist today or there still work? And is that today or there still work? And is that today or there still work? And is that like a Google OS or like where does that like a Google OS or like where does that like a Google OS or like where does that OS come from? OS come from? OS come from? >> Look, I think there's a there this is an >> Look, I think there's a there this is an >> Look, I think there's a there this is an area of a lot of energy, a mix of area of a lot of energy, a mix of area of a lot of energy, a mix of research and implementation. I think research and implementation. I think research and implementation. I think there's a lot of hope and interesting there's a lot of hope and interesting there's a lot of hope and interesting stuff. I mean the high level is we all stuff. I mean the high level is we all stuff. I mean the high level is we all remember what happened when you used remember what happened when you used remember what happened when you used chat GPT 3.5 and you're like holy. chat GPT 3.5 and you're like holy. chat GPT 3.5 and you're like holy. >> Yeah, it's legit. >> Yeah, it's legit. >> Yeah, it's legit. >> Whoa. And then it went to four and >> Whoa. And then it went to four and >> Whoa. And then it went to four and you're like, okay, like some stuff just you're like, okay, like some stuff just you're like, okay, like some stuff just changed. The world just changed and I changed. The world just changed and I changed. The world just changed and I can sort of connect some dots and can sort of connect some dots and can sort of connect some dots and getting real. getting real. getting real. Is it about to happen? Is it about to Is it about to happen? Is it about to Is it about to happen? Is it about to happen for physical AI? And that's what happen for physical AI? And that's what happen for physical AI? And that's what this is about. Yeah. this is about. Yeah. this is about. Yeah. >> And the fun part about it is machine >> And the fun part about it is machine >> And the fun part about it is machine learning, deep learning, this kind of learning, deep learning, this kind of learning, deep learning, this kind of thing for many years, decades was like thing for many years, decades was like thing for many years, decades was like inscrutable. I don't know what the thing inscrutable. I don't know what the thing inscrutable. I don't know what the thing is thinking. It just spits out an answer is thinking. It just spits out an answer is thinking. It just spits out an answer and I know it's correct. Well, now you and I know it's correct. Well, now you and I know it's correct. Well, now you can have a conversation with it, right? can have a conversation with it, right? can have a conversation with it, right? Like imagine if it's driving your car Like imagine if it's driving your car Like imagine if it's driving your car and there's different agents and one's and there's different agents and one's and there's different agents and one's just driving, the other's like, "Yo, just driving, the other's like, "Yo, just driving, the other's like, "Yo, look out over there." look out over there." look out over there." >> Yeah. >> Yeah. >> Yeah. >> It's like, "Oh, just like how we roll." >> It's like, "Oh, just like how we roll." >> It's like, "Oh, just like how we roll." Like somebody does that, you're like, Like somebody does that, you're like, Like somebody does that, you're like, you're like, "Honey, that's like 200 you're like, "Honey, that's like 200 you're like, "Honey, that's like 200 meters away. We're going to be meters away. We're going to be meters away. We're going to be >> okay." Yeah. >> okay." Yeah. >> okay." Yeah. >> Jason and I don't call each other honey, >> Jason and I don't call each other honey, >> Jason and I don't call each other honey, but I got you. Yeah. but I got you. Yeah. but I got you. Yeah. >> Like, >> Like, >> Like, >> sweetie, >> sweetie, >> sweetie, >> you know. Yeah. >> you know. Yeah. >> you know. Yeah. >> Okay. So anyways, so that was odd, >> Okay. So anyways, so that was odd, >> Okay. So anyways, so that was odd, wasn't it? Okay. Okay. Okay. I didn't wasn't it? Okay. Okay. Okay. I didn't wasn't it? Okay. Okay. Okay. I didn't mean it that way. I didn't mean it. mean it that way. I didn't mean it. mean it that way. I didn't mean it. >> Yeah. You know, I meant it. Okay. >> Yeah. You know, I meant it. Okay. >> Yeah. You know, I meant it. Okay. >> Language is a beautiful compression >> Language is a beautiful compression >> Language is a beautiful compression mechanism that humans use 100 watts of mechanism that humans use 100 watts of mechanism that humans use 100 watts of energy energy energy like and you put that in the scheme of like and you put that in the scheme of like and you put that in the scheme of things of like AI training, AI energy, things of like AI training, AI energy, things of like AI training, AI energy, the power plants that are built to do the power plants that are built to do the power plants that are built to do the thing that isn't even at human the thing that isn't even at human the thing that isn't even at human strength yet. Okay. The Whimo machine strength yet. Okay. The Whimo machine strength yet. Okay. The Whimo machine takes a hundred times more energy to takes a hundred times more energy to takes a hundred times more energy to drive a Whimo than a human does to drive drive a Whimo than a human does to drive drive a Whimo than a human does to drive a Whimo. a Whimo. a Whimo. So, so language we there are still So, so language we there are still So, so language we there are still things that humans are great at and that things that humans are great at and that things that humans are great at and that unbeat like the goat. We're still the unbeat like the goat. We're still the unbeat like the goat. We're still the goat at certain things. Language is this goat at certain things. Language is this goat at certain things. Language is this epic compression. epic compression. epic compression. And um we need to find ways to compress And um we need to find ways to compress And um we need to find ways to compress cuz like when you think about how how we cuz like when you think about how how we cuz like when you think about how how we first started looking at the physical first started looking at the physical first started looking at the physical world is we saw everything. And you know world is we saw everything. And you know world is we saw everything. And you know what guys and this is sort of obvious what guys and this is sort of obvious what guys and this is sort of obvious like it doesn't matter what the cloud is like it doesn't matter what the cloud is like it doesn't matter what the cloud is doing if I'm driving. doing if I'm driving. doing if I'm driving. But like the car doesn't know that. It's But like the car doesn't know that. It's But like the car doesn't know that. It's pulling in every freaking data point and pulling in every freaking data point and pulling in every freaking data point and processing everything. And it's it's you processing everything. And it's it's you processing everything. And it's it's you know look they've been about sort of know look they've been about sort of know look they've been about sort of carving out the things that don't matter carving out the things that don't matter carving out the things that don't matter and things like this. and things like this. and things like this. There's ultra awesome versions of this There's ultra awesome versions of this There's ultra awesome versions of this and you can imagine how you can use and you can imagine how you can use and you can imagine how you can use language or things that look like language or things that look like language or things that look like language to communicate either amongst language to communicate either amongst language to communicate either amongst agents or sort of safety systems with a agents or sort of safety systems with a agents or sort of safety systems with a driving system to sort of get very driving system to sort of get very driving system to sort of get very efficient answers and to identify safety efficient answers and to identify safety efficient answers and to identify safety issues very efficiently. issues very efficiently. issues very efficiently. >> People don't know that you've moved to >> People don't know that you've moved to >> People don't know that you've moved to Texas as of most people don't know but Texas as of most people don't know but Texas as of most people don't know but it's it's out there. it's it's out there. it's it's out there. >> Yeah. You moved here in December, so now >> Yeah. You moved here in December, so now >> Yeah. You moved here in December, so now you're a resident of Austin. you're a resident of Austin. you're a resident of Austin. >> Yeah, I was I Thank you. >> Yeah, I was I Thank you. >> Yeah, I was I Thank you. >> It's very exciting for me. We've been >> It's very exciting for me. We've been >> It's very exciting for me. We've been getting to play some back gammon. getting to play some back gammon. getting to play some back gammon. >> Back gamon cards. It's >> Back gamon cards. It's >> Back gamon cards. It's >> cards. We're having a good time. >> cards. We're having a good time. >> cards. We're having a good time. >> So, I've had a place on Lake Austin >> So, I've had a place on Lake Austin >> So, I've had a place on Lake Austin since 2021. since 2021. since 2021. And uh I go there. I'm an avid water And uh I go there. I'm an avid water And uh I go there. I'm an avid water skier. Like, skier. Like, skier. Like, >> you're impressive at water skiing, I >> you're impressive at water skiing, I >> you're impressive at water skiing, I have to say. Like, have to say. Like, have to say. Like, >> so I've had a place in Austin for 5 >> so I've had a place in Austin for 5 >> so I've had a place in Austin for 5 years. years. years. freaking love it. It's my weekend. I freaking love it. It's my weekend. I freaking love it. It's my weekend. I would go 15 weekends a year. would go 15 weekends a year. would go 15 weekends a year. >> What do you think's going to happen in >> What do you think's going to happen in >> What do you think's going to happen in California? California? California? >> It's pretty messed up. Look, I I grew up >> It's pretty messed up. Look, I I grew up >> It's pretty messed up. Look, I I grew up in Cali. Uh like I grew up in Los in Cali. Uh like I grew up in Los in Cali. Uh like I grew up in Los Angeles. Uh my parents were born and Angeles. Uh my parents were born and Angeles. Uh my parents were born and bred in Los Angeles, which basically bred in Los Angeles, which basically bred in Los Angeles, which basically makes them the founders of LA. Okay. But makes them the founders of LA. Okay. But makes them the founders of LA. Okay. But um so I have a lot of heart like my um so I have a lot of heart like my um so I have a lot of heart like my whole family, everything, you know? It's whole family, everything, you know? It's whole family, everything, you know? It's pretty pretty pretty >> it's pretty it's I don't want >> it's pretty it's I don't want >> it's pretty it's I don't want >> a lot of us feel that way. I don't want >> a lot of us feel that way. I don't want >> a lot of us feel that way. I don't want to get the violin out, but it just But to get the violin out, but it just But to get the violin out, but it just But it's heartbreaking. it's heartbreaking. it's heartbreaking. >> The plot totally It's just a place you >> The plot totally It's just a place you >> The plot totally It's just a place you grew up. It's your home, you know, grew up. It's your home, you know, grew up. It's your home, you know, >> when you have to leave. >> when you have to leave. >> when you have to leave. >> Uh but it's getting weird out there >> Uh but it's getting weird out there >> Uh but it's getting weird out there and uh it feels like it's getting and uh it feels like it's getting and uh it feels like it's getting weirder and at some point that's it's weirder and at some point that's it's weirder and at some point that's it's just too weird. just too weird. just too weird. >> It's too weird. Do you think everyone's >> It's too weird. Do you think everyone's >> It's too weird. Do you think everyone's going to leave? going to leave? going to leave? >> I mean, it started with Elon and it was >> I mean, it started with Elon and it was >> I mean, it started with Elon and it was like like like >> we don't want Elon here and then he's >> we don't want Elon here and then he's >> we don't want Elon here and then he's like message received, like message received, like message received, >> right? And then it kind of worked its >> right? And then it kind of worked its >> right? And then it kind of worked its way down the tech industry and in the way down the tech industry and in the way down the tech industry and in the kind of it, you know, world of people kind of it, you know, world of people kind of it, you know, world of people building businesses and whatnot. And now building businesses and whatnot. And now building businesses and whatnot. And now it's kind of gotten so broad in terms of it's kind of gotten so broad in terms of it's kind of gotten so broad in terms of the the the >> Joe Rogan comedy, music, New Yorkers, >> Joe Rogan comedy, music, New Yorkers, >> Joe Rogan comedy, music, New Yorkers, restaurant tours. I mean, this place is restaurant tours. I mean, this place is restaurant tours. I mean, this place is >> I'm not even talking about this. I'm >> I'm not even talking about this. I'm >> I'm not even talking about this. I'm just talking about everyone leaving LA just talking about everyone leaving LA just talking about everyone leaving LA or sorry leaving California is almost or sorry leaving California is almost or sorry leaving California is almost like working down this path of like working down this path of like working down this path of >> look my the rest of my team's like we're >> look my the rest of my team's like we're >> look my the rest of my team's like we're when are we moving you know they're like when are we moving you know they're like when are we moving you know they're like >> and how are you dealing with that? So >> and how are you dealing with that? So >> and how are you dealing with that? So that was the question was like that was the question was like that was the question was like >> got to buy homes on the lake. >> got to buy homes on the lake. >> got to buy homes on the lake. >> There are literally dozens of startup >> There are literally dozens of startup >> There are literally dozens of startup CEOs of call it successful or growing CEOs of call it successful or growing CEOs of call it successful or growing companies that I talked to who were like companies that I talked to who were like companies that I talked to who were like >> dude I want to leave but I got employees >> dude I want to leave but I got employees >> dude I want to leave but I got employees here. I got an office here. I got a here. I got an office here. I got a here. I got an office here. I got a facility here. build stuff here. How am facility here. build stuff here. How am facility here. build stuff here. How am I going to leave? I going to leave? I going to leave? >> Yeah, I totally get it. It's a real >> Yeah, I totally get it. It's a real >> Yeah, I totally get it. It's a real thing. So, look, I think like most thing. So, look, I think like most thing. So, look, I think like most things, uh, sort of when it's time and things, uh, sort of when it's time and things, uh, sort of when it's time and it feels painful to do something, it feels painful to do something, it feels painful to do something, sometimes it's actually not as bad as sometimes it's actually not as bad as sometimes it's actually not as bad as you think and you just got to make the you think and you just got to make the you think and you just got to make the move and lead and do it. Um, and so, uh, move and lead and do it. Um, and so, uh, move and lead and do it. Um, and so, uh, that's kind of what that's kind of the that's kind of what that's kind of the that's kind of what that's kind of the process, the almost like a morning process, the almost like a morning process, the almost like a morning process I went through and that's just process I went through and that's just process I went through and that's just what it is. is and you're setting up a what it is. is and you're setting up a what it is. is and you're setting up a team here. team here. team here. >> Yeah, of course. Uh and I got that >> Yeah, of course. Uh and I got that >> Yeah, of course. Uh and I got that office right on the lake. office right on the lake. office right on the lake. >> Did you get that? >> Did you get that? >> Did you get that? >> Uh it's we are negotiating. No, it's all >> Uh it's we are negotiating. No, it's all >> Uh it's we are negotiating. No, it's all good. No, no, it's all good. We're good. No, no, it's all good. We're good. No, no, it's all good. We're negotiating right now. negotiating right now. negotiating right now. >> But I'm going to jet ski to work. >> But I'm going to jet ski to work. >> But I'm going to jet ski to work. >> No, literally we is it true story. Last >> No, literally we is it true story. Last >> No, literally we is it true story. Last year we're like driving up the thing and year we're like driving up the thing and year we're like driving up the thing and I was like, "Wow, I wonder who owns I was like, "Wow, I wonder who owns I was like, "Wow, I wonder who owns that." He's like, "I will." And I was that." He's like, "I will." And I was that." He's like, "I will." And I was like, "Did you look at It's like I like, "Did you look at It's like I like, "Did you look at It's like I looked at that and I was like, "That's a looked at that and I was like, "That's a looked at that and I was like, "That's a that would be a nice one." But the the that would be a nice one." But the the that would be a nice one." But the the truth is, you know, and I had a couple truth is, you know, and I had a couple truth is, you know, and I had a couple people move here a couple years ago and people move here a couple years ago and people move here a couple years ago and they all had the same reaction. Oh my they all had the same reaction. Oh my they all had the same reaction. Oh my god, I'm living in a place that's twice god, I'm living in a place that's twice god, I'm living in a place that's twice as big for half as much. The people here as big for half as much. The people here as big for half as much. The people here are dope. The food is dope. Everybody are dope. The food is dope. Everybody are dope. The food is dope. Everybody here is got this sense that we're here is got this sense that we're here is got this sense that we're building the future. And it's just fun building the future. And it's just fun building the future. And it's just fun and world positive. And you know, for and world positive. And you know, for and world positive. And you know, for me, I got to live New York, LA, San me, I got to live New York, LA, San me, I got to live New York, LA, San Francisco. I did three of the great Francisco. I did three of the great Francisco. I did three of the great cities in this country. This one feels cities in this country. This one feels cities in this country. This one feels the most like home to me, the most like home to me, the most like home to me, >> which is a very strange feeling to me, >> which is a very strange feeling to me, >> which is a very strange feeling to me, but it feels like everybody here wants but it feels like everybody here wants but it feels like everybody here wants to build the future and it's very to build the future and it's very to build the future and it's very diverse, you know, like all these diverse, you know, like all these diverse, you know, like all these different industries and people pursuing different industries and people pursuing different industries and people pursuing stuff. I I think this is the future. stuff. I I think this is the future. stuff. I I think this is the future. >> Yeah. Here's the thing. Like you go to >> Yeah. Here's the thing. Like you go to >> Yeah. Here's the thing. Like you go to San Francisco and I still have a little San Francisco and I still have a little San Francisco and I still have a little nostalgia when I go to San Francisco nostalgia when I go to San Francisco nostalgia when I go to San Francisco just having built Uber there and the just having built Uber there and the just having built Uber there and the whole thing. Um, I still get the, you whole thing. Um, I still get the, you whole thing. Um, I still get the, you know, the butterflies just I, you know, know, the butterflies just I, you know, know, the butterflies just I, you know, but it does have something magical. You, but it does have something magical. You, but it does have something magical. You, you just can't take it away. And then you just can't take it away. And then you just can't take it away. And then you look at all of these bike lanes and you look at all of these bike lanes and you look at all of these bike lanes and these bus lanes that never have a bus or these bus lanes that never have a bus or these bus lanes that never have a bus or a bike in them a bike in them a bike in them >> and cost $400 million to build one mile >> and cost $400 million to build one mile >> and cost $400 million to build one mile >> and it's literally it's sort of like >> and it's literally it's sort of like >> and it's literally it's sort of like this this this subconscious desire to choke the city subconscious desire to choke the city subconscious desire to choke the city off. Now remember, I look at things off. Now remember, I look at things off. Now remember, I look at things through roads. That's how I think. So through roads. That's how I think. So through roads. That's how I think. So I'm just like obviously the city is I'm just like obviously the city is I'm just like obviously the city is totally busted. totally busted. totally busted. >> Yeah. >> Yeah. >> Yeah. >> No, they they literally took Market >> No, they they literally took Market >> No, they they literally took Market Street and they're like, "What would be Street and they're like, "What would be Street and they're like, "What would be the optimal way to this up and virtue the optimal way to this up and virtue the optimal way to this up and virtue signal at the same time?" And they're signal at the same time?" And they're signal at the same time?" And they're like, "Yeah, buses." And it's like, like, "Yeah, buses." And it's like, like, "Yeah, buses." And it's like, "Nobody's on the bus. Nobody takes the "Nobody's on the bus. Nobody takes the "Nobody's on the bus. Nobody takes the bus. It's a beautiful small town. San bus. It's a beautiful small town. San bus. It's a beautiful small town. San Francisco. That whole street is empty Francisco. That whole street is empty Francisco. That whole street is empty and painted red." and painted red." and painted red." >> So, okay. So, we all [ __ ] and complain >> So, okay. So, we all [ __ ] and complain >> So, okay. So, we all [ __ ] and complain non-stop on our chat. non-stop on our chat. non-stop on our chat. >> When are you leaving? >> When are you leaving? >> When are you leaving? >> I'm number one. I get it. But, when are >> I'm number one. I get it. But, when are >> I'm number one. I get it. But, when are you leaving? you leaving? you leaving? >> Okay. Well, >> Okay. Well, >> Okay. Well, >> on the chat, you're the best, by the >> on the chat, you're the best, by the >> on the chat, you're the best, by the way. I'm like, way. I'm like, way. I'm like, >> okay. So, let me just, >> okay. So, let me just, >> okay. So, let me just, >> by the way, there's couple glasses of >> by the way, there's couple glasses of >> by the way, there's couple glasses of wine in wine in wine in >> public facing Freedberg >> public facing Freedberg >> public facing Freedberg >> and he's like, you know, I think there's >> and he's like, you know, I think there's >> and he's like, you know, I think there's a better way to do. And then there's a better way to do. And then there's a better way to do. And then there's like Darth Friedberg in group chat. He's like Darth Friedberg in group chat. He's like Darth Friedberg in group chat. He's like, these people, these morons are like, these people, these morons are like, these people, these morons are they're destroying societ. He is like they're destroying societ. He is like they're destroying societ. He is like Darth Friedberg in group chat. Am I Darth Friedberg in group chat. Am I Darth Friedberg in group chat. Am I lying? lying? lying? >> Am I lying? Is he the most >> Am I lying? Is he the most >> Am I lying? Is he the most >> correct? Especially after a couple >> correct? Especially after a couple >> correct? Especially after a couple glasses of wine. glasses of wine. glasses of wine. >> Yeah. When I start drinking fall and he >> Yeah. When I start drinking fall and he >> Yeah. When I start drinking fall and he takes pictures, he's like, "Fourth takes pictures, he's like, "Fourth takes pictures, he's like, "Fourth beverage." And we're like, "Oh, it's beverage." And we're like, "Oh, it's beverage." And we're like, "Oh, it's worth staying up on the group chat." worth staying up on the group chat." worth staying up on the group chat." >> Yeah. And then I'm like, I'll go and >> Yeah. And then I'm like, I'll go and >> Yeah. And then I'm like, I'll go and attack this congressman on Twitter, attack this congressman on Twitter, attack this congressman on Twitter, which I realized. which I realized. which I realized. >> And then you go delete the tweet. >> And then you go delete the tweet. >> And then you go delete the tweet. >> Yeah. >> Yeah. >> Yeah. >> Don't delete the tweet. >> Don't delete the tweet. >> Don't delete the tweet. >> Yeah. I delete the tweets. Okay. know >> Yeah. I delete the tweets. Okay. know >> Yeah. I delete the tweets. Okay. know there's a group of people trying to there's a group of people trying to there's a group of people trying to raise $500 million to create like a raise $500 million to create like a raise $500 million to create like a tech/ business coalition to go to tech/ business coalition to go to tech/ business coalition to go to Sacramento, which arguably is something Sacramento, which arguably is something Sacramento, which arguably is something that everyone's left and avoided doing that everyone's left and avoided doing that everyone's left and avoided doing forever cuz no one wants to spend time forever cuz no one wants to spend time forever cuz no one wants to spend time in freaking Sacramento fighting in freaking Sacramento fighting in freaking Sacramento fighting politicians, but it's almost like we're politicians, but it's almost like we're politicians, but it's almost like we're all falling off a cliff. It's time to do all falling off a cliff. It's time to do all falling off a cliff. It's time to do something. Do you think there's a something. Do you think there's a something. Do you think there's a realistic path packed? Do you think the realistic path packed? Do you think the realistic path packed? Do you think the people can actually get their together people can actually get their together people can actually get their together that even if 500 million came in, that even if 500 million came in, that even if 500 million came in, there's a way to kind of turn around the there's a way to kind of turn around the there's a way to kind of turn around the state, fix some of the policies? You state, fix some of the policies? You state, fix some of the policies? You think it's too late? think it's too late? think it's too late? >> I don't think that. But look, I would go >> I don't think that. But look, I would go >> I don't think that. But look, I would go I look, anybody who's doing anything to I look, anybody who's doing anything to I look, anybody who's doing anything to fix things, I'm like, hell yeah, let's fix things, I'm like, hell yeah, let's fix things, I'm like, hell yeah, let's do something. The issue is we all grew do something. The issue is we all grew do something. The issue is we all grew up in the tech world, which was like a up in the tech world, which was like a up in the tech world, which was like a libertarian place where you stay out of libertarian place where you stay out of libertarian place where you stay out of politics and politics and politics and >> that kind was that kind of vibe. It was >> that kind was that kind of vibe. It was >> that kind was that kind of vibe. It was just everybody was like that. just everybody was like that. just everybody was like that. >> Leave me alone. when I want to make >> Leave me alone. when I want to make >> Leave me alone. when I want to make stuff. stuff. stuff. >> Yeah. I just I'm not I don't do that. >> Yeah. I just I'm not I don't do that. >> Yeah. I just I'm not I don't do that. And that's obviously this not a thing And that's obviously this not a thing And that's obviously this not a thing anymore in California. I think the the anymore in California. I think the the anymore in California. I think the the ballot initiatives are very powerful and ballot initiatives are very powerful and ballot initiatives are very powerful and there's very clean ways to get something there's very clean ways to get something there's very clean ways to get something on the ballot love that. I think that on the ballot love that. I think that on the ballot love that. I think that your DAS who have decided we do not your DAS who have decided we do not your DAS who have decided we do not enforce crime at all anymore. That's enforce crime at all anymore. That's enforce crime at all anymore. That's like a sweet spot. Like I believe that I like a sweet spot. Like I believe that I like a sweet spot. Like I believe that I sort of have this apherism. Truth and sort of have this apherism. Truth and sort of have this apherism. Truth and justice are the immune system for justice are the immune system for justice are the immune system for society. society. society. When when the immune system is When when the immune system is When when the immune system is suppressed, all the social ills flare suppressed, all the social ills flare suppressed, all the social ills flare up. up. up. So look for the places where truth and So look for the places where truth and So look for the places where truth and justice are being deteriorated, are justice are being deteriorated, are justice are being deteriorated, are being degraded, and say, how do we get being degraded, and say, how do we get being degraded, and say, how do we get at that? Because if you get at that, at that? Because if you get at that, at that? Because if you get at that, everything else downstream will be everything else downstream will be everything else downstream will be better. better. better. So that's kind of how I look at things So that's kind of how I look at things So that's kind of how I look at things and how I also determine whether the and how I also determine whether the and how I also determine whether the world's getting better or worse. When I world's getting better or worse. When I world's getting better or worse. When I say weird, I'm talking about truth and say weird, I'm talking about truth and say weird, I'm talking about truth and justice. That's what I mean when I say, justice. That's what I mean when I say, justice. That's what I mean when I say, "Oh man, it's getting weird. It's "Oh man, it's getting weird. It's "Oh man, it's getting weird. It's getting weirder," which means it's getting weirder," which means it's getting weirder," which means it's weird. I'm just talking about truth and weird. I'm just talking about truth and weird. I'm just talking about truth and justice. justice. justice. >> Well, I mean, and you look at the >> Well, I mean, and you look at the >> Well, I mean, and you look at the homeless industrial complex, you look at homeless industrial complex, you look at homeless industrial complex, you look at Chesuine, which the all-in pod sacks, Chesuine, which the all-in pod sacks, Chesuine, which the all-in pod sacks, myself, and the pod, like we we myself, and the pod, like we we myself, and the pod, like we we literally led the recall of him. And literally led the recall of him. And literally led the recall of him. And then you had the same thing going on in then you had the same thing going on in then you had the same thing going on in LA where they were just like if somebody LA where they were just like if somebody LA where they were just like if somebody >> Gasone >> Gasone >> Gasone >> Yeah, Gasone. I mean, we basically lost >> Yeah, Gasone. I mean, we basically lost >> Yeah, Gasone. I mean, we basically lost the script. You're running the city for the script. You're running the city for the script. You're running the city for the criminals. It literally is like a the criminals. It literally is like a the criminals. It literally is like a Batman movie. It's like Bane. Batman movie. It's like Bane. Batman movie. It's like Bane. >> I mean, you want to arrest the >> I mean, you want to arrest the >> I mean, you want to arrest the criminals. criminals. criminals. >> Look, >> Look, >> Look, >> I was born in the darkness. I mean, >> I was born in the darkness. I mean, >> I was born in the darkness. I mean, these guys are lunatics. these guys are lunatics. these guys are lunatics. >> Yeah. Look, I I know police officers in >> Yeah. Look, I I know police officers in >> Yeah. Look, I I know police officers in Los Angeles who are no longer police Los Angeles who are no longer police Los Angeles who are no longer police officers, and these are lifelong guys officers, and these are lifelong guys officers, and these are lifelong guys who protect and serve. That's in their who protect and serve. That's in their who protect and serve. That's in their bloods or DNA. They want to protect bloods or DNA. They want to protect bloods or DNA. They want to protect people. They want the bad guys to be people. They want the bad guys to be people. They want the bad guys to be dealt with. And they they almost have dealt with. And they they almost have dealt with. And they they almost have PTSD from PTSD from PTSD from what it is like to want to serve and see what it is like to want to serve and see what it is like to want to serve and see bad things happening and not being bad things happening and not being bad things happening and not being allowed to stop it. allowed to stop it. allowed to stop it. >> Yeah. Nobody's got their back and >> Yeah. Nobody's got their back and >> Yeah. Nobody's got their back and they're not allowed to do their job. they're not allowed to do their job. they're not allowed to do their job. It's It's crazy. And I It's getting It's It's crazy. And I It's getting It's It's crazy. And I It's getting weird. weird. weird. >> Okay. Hey, I want to just go back to AI. >> Okay. Hey, I want to just go back to AI. >> Okay. Hey, I want to just go back to AI. >> Sorry for the darkness. >> Sorry for the darkness. >> Sorry for the darkness. >> No, no, no. I think it's good. >> No, no, no. I think it's good. >> No, no, no. I think it's good. >> I was trying to induce I'm trying to >> I was trying to induce I'm trying to >> I was trying to induce I'm trying to induce dark free. induce dark free. induce dark free. >> Well, I brought it up. I mean, someone >> Well, I brought it up. I mean, someone >> Well, I brought it up. I mean, someone bring me a tequila. I'll get going. bring me a tequila. I'll get going. bring me a tequila. I'll get going. >> Yeah, let's do it. Can we get a couple >> Yeah, let's do it. Can we get a couple >> Yeah, let's do it. Can we get a couple tequilas? tequilas? tequilas? >> It was funny. I went on this podcast >> It was funny. I went on this podcast >> It was funny. I went on this podcast yesterday and the guy and the f the guy yesterday and the guy and the f the guy yesterday and the guy and the f the guy was like the first hour was middle of was like the first hour was middle of was like the first hour was middle of the road. I was talking about tech and the road. I was talking about tech and the road. I was talking about tech and science and then like politics came up. science and then like politics came up. science and then like politics came up. He's like, so socialism and he said like He's like, so socialism and he said like He's like, so socialism and he said like you lost it and then you were like he's you lost it and then you were like he's you lost it and then you were like he's like the energy went 10x and like the energy went 10x and like the energy went 10x and Yeah. So, it'll come out in a couple Yeah. So, it'll come out in a couple Yeah. So, it'll come out in a couple weeks, but I was like, it it got me weeks, but I was like, it it got me weeks, but I was like, it it got me going. Okay. I want to talk about going. Okay. I want to talk about going. Okay. I want to talk about physical AI one more time. physical AI one more time. physical AI one more time. >> Yeah. >> Yeah. >> Yeah. >> So, one of now that now that you're >> So, one of now that now that you're >> So, one of now that now that you're doing this, I saw a presentation the doing this, I saw a presentation the doing this, I saw a presentation the other day. Someone showed like a video other day. Someone showed like a video other day. Someone showed like a video of a squirrel jumping from one tree to of a squirrel jumping from one tree to of a squirrel jumping from one tree to another tree. And they're like a tenth another tree. And they're like a tenth another tree. And they're like a tenth of a watt or something like like the the of a watt or something like like the the of a watt or something like like the the biology is tuned and it's so perfect in biology is tuned and it's so perfect in biology is tuned and it's so perfect in terms of its efficiency of energy terms of its efficiency of energy terms of its efficiency of energy utilization to do physical things. And utilization to do physical things. And utilization to do physical things. And we're taking these like big things of we're taking these like big things of we're taking these like big things of metal and motors and like actuators and metal and motors and like actuators and metal and motors and like actuators and if you add up or you compound all of the if you add up or you compound all of the if you add up or you compound all of the inefficiencies in the system, it's like inefficiencies in the system, it's like inefficiencies in the system, it's like 1,200 watts to get the robot to walk 4 1,200 watts to get the robot to walk 4 1,200 watts to get the robot to walk 4 foot. Like like break apart not just the foot. Like like break apart not just the foot. Like like break apart not just the software but the hardware layer and software but the hardware layer and software but the hardware layer and where are we at in evolving things like where are we at in evolving things like where are we at in evolving things like actuators and the materials and actuators and the materials and actuators and the materials and everything else that's going to make everything else that's going to make everything else that's going to make physical AI work and scale. Oh, look, a physical AI work and scale. Oh, look, a physical AI work and scale. Oh, look, a lot with the questions you're asking are lot with the questions you're asking are lot with the questions you're asking are going down humanoid lane, which is like going down humanoid lane, which is like going down humanoid lane, which is like this thing and and everybody talks about this thing and and everybody talks about this thing and and everybody talks about how do you do the hand? It's almost like how do you do the hand? It's almost like how do you do the hand? It's almost like Terminator 2 type obsession with the Terminator 2 type obsession with the Terminator 2 type obsession with the hand, which is fair. Like, it's a very hand, which is fair. Like, it's a very hand, which is fair. Like, it's a very critical part of it. I mean, look at the critical part of it. I mean, look at the critical part of it. I mean, look at the I like to look at the Achilles the quote I like to look at the Achilles the quote I like to look at the Achilles the quote unquote Achilles tendon of any of these unquote Achilles tendon of any of these unquote Achilles tendon of any of these machines and you're like, that's where machines and you're like, that's where machines and you're like, that's where the action is. This this there's a the action is. This this there's a the action is. This this there's a couple other places. Um, couple other places. Um, couple other places. Um, look, I'm in the nonhumanoid space. I look, I'm in the nonhumanoid space. I look, I'm in the nonhumanoid space. I mean, but mechanical engineers have been mean, but mechanical engineers have been mean, but mechanical engineers have been dealing with actuators and, you know, dealing with actuators and, you know, dealing with actuators and, you know, all the sort of electromechanical sort all the sort of electromechanical sort all the sort of electromechanical sort of interactions that make machines do of interactions that make machines do of interactions that make machines do certain things, but like I'm in the food certain things, but like I'm in the food certain things, but like I'm in the food machine space, so I can tell you how to machine space, so I can tell you how to machine space, so I can tell you how to open a paper bag and put a put a a bowl open a paper bag and put a put a a bowl open a paper bag and put a put a a bowl in a paper bag without tearing the paper in a paper bag without tearing the paper in a paper bag without tearing the paper bag. But I am less into the I forget the bag. But I am less into the I forget the bag. But I am less into the I forget the name pero. They're they're the the name pero. They're they're the the name pero. They're they're the the senses to understand awareness and senses to understand awareness and senses to understand awareness and touch. Um I'm not in that game. Um so touch. Um I'm not in that game. Um so touch. Um I'm not in that game. Um so when you're mining you're like you're when you're mining you're like you're when you're mining you're like you're not like you know you know not like you know you know not like you know you know >> you're not threating >> you're not threating >> you're not threating >> you're not playing tennis. Um certain >> you're not playing tennis. Um certain >> you're not playing tennis. Um certain things may be equivalent to tennis. So, things may be equivalent to tennis. So, things may be equivalent to tennis. So, look, the bottom line is we're seeing look, the bottom line is we're seeing look, the bottom line is we're seeing obviously all you have to do is go obviously all you have to do is go obviously all you have to do is go online and look at where the humanoids online and look at where the humanoids online and look at where the humanoids are going over time and how much better are going over time and how much better are going over time and how much better they're getting. Um, it's wild and it's they're getting. Um, it's wild and it's they're getting. Um, it's wild and it's happening so freaking fast. But any happening so freaking fast. But any happening so freaking fast. But any humanoid demo starts with dancing and humanoid demo starts with dancing and humanoid demo starts with dancing and martial arts. martial arts. martial arts. >> Yeah. >> Yeah. >> Yeah. >> And we're sort of down specialized robot >> And we're sort of down specialized robot >> And we're sort of down specialized robot lane, which is gainfully employed lane, which is gainfully employed lane, which is gainfully employed robots. robots. robots. >> Yeah. So, I know I didn't totally answer >> Yeah. So, I know I didn't totally answer >> Yeah. So, I know I didn't totally answer the question, the technology piece, but the question, the technology piece, but the question, the technology piece, but >> I just like do you agree that there's >> I just like do you agree that there's >> I just like do you agree that there's probably like a big opportunity for probably like a big opportunity for probably like a big opportunity for venture money and like research to go venture money and like research to go venture money and like research to go into material science extra? Yeah, into material science extra? Yeah, into material science extra? Yeah, >> for sure. >> for sure. >> for sure. >> Sure. Because if the physical AI stack >> Sure. Because if the physical AI stack >> Sure. Because if the physical AI stack manipulation and all of the related manipulation and all of the related manipulation and all of the related things around it things around it things around it >> is massive. >> is massive. >> is massive. >> And so if you get the software working, >> And so if you get the software working, >> And so if you get the software working, it's almost like the hardware has to it's almost like the hardware has to it's almost like the hardware has to catch up. Yes, catch up. Yes, catch up. Yes, >> we got a lot of >> we got a lot of >> we got a lot of >> investor. >> investor. >> investor. >> Well, actually was it's good that you >> Well, actually was it's good that you >> Well, actually was it's good that you bring this up. You know, one of the bring this up. You know, one of the bring this up. You know, one of the things you pioneered um at Uber was um things you pioneered um at Uber was um things you pioneered um at Uber was um capital as a weapon and you were very capital as a weapon and you were very capital as a weapon and you were very thoughtful about hey if we can take this thoughtful about hey if we can take this thoughtful about hey if we can take this capital off the table then that's going capital off the table then that's going capital off the table then that's going to let's call it what it is. It's going to let's call it what it is. It's going to let's call it what it is. It's going to be an advantage versus the to be an advantage versus the to be an advantage versus the competitors and these other competitors competitors and these other competitors competitors and these other competitors couldn't get that capital. That's now I couldn't get that capital. That's now I couldn't get that capital. That's now I think people have seen that playbook and think people have seen that playbook and think people have seen that playbook and they're like hm Samman's like that was they're like hm Samman's like that was they're like hm Samman's like that was smart let me try and it's at a different smart let me try and it's at a different smart let me try and it's at a different scale now that you've come out of scale now that you've come out of scale now that you've come out of stealth stealth stealth >> now that you've got and and people are >> now that you've got and and people are >> now that you've got and and people are starting to understand just starting starting to understand just starting starting to understand just starting today how big your vision is today how big your vision is today how big your vision is >> capital as a weapon this is I guess in >> capital as a weapon this is I guess in >> capital as a weapon this is I guess in your plan yeah your plan yeah your plan yeah >> well I mean here's the thing right so >> well I mean here's the thing right so >> well I mean here's the thing right so capital as a strategic weapon for its capital as a strategic weapon for its capital as a strategic weapon for its own sake is not a thing but when it is own sake is not a thing but when it is own sake is not a thing but when it is actually a strategic weapon And then it actually a strategic weapon And then it actually a strategic weapon And then it is a thing. And what I mean by that is is a thing. And what I mean by that is is a thing. And what I mean by that is like in the Uber world early days if you like in the Uber world early days if you like in the Uber world early days if you didn't have capital didn't matter how didn't have capital didn't matter how didn't have capital didn't matter how good your app was because MASA is going good your app was because MASA is going good your app was because MASA is going to put a billion dollars into your to put a billion dollars into your to put a billion dollars into your competitor and you're going to lose 20% competitor and you're going to lose 20% competitor and you're going to lose 20% market share tomorrow. So a critical market share tomorrow. So a critical market share tomorrow. So a critical competency in fact your worldass competency in fact your worldass competency in fact your worldass competencies one of them has to be competencies one of them has to be competencies one of them has to be raising capital and you need to do it raising capital and you need to do it raising capital and you need to do it better than everybody else and if you better than everybody else and if you better than everybody else and if you don't you are going to lose. don't you are going to lose. don't you are going to lose. >> Let me ask one follow up to that. Sorry >> Let me ask one follow up to that. Sorry >> Let me ask one follow up to that. Sorry you go ahead. Um but the Middle East you go ahead. Um but the Middle East you go ahead. Um but the Middle East >> Yeah. I've heard theories the last >> Yeah. I've heard theories the last >> Yeah. I've heard theories the last couple days that big capital seekers are couple days that big capital seekers are couple days that big capital seekers are kind of right now because of what's kind of right now because of what's kind of right now because of what's going on in the Middle East with the going on in the Middle East with the going on in the Middle East with the Iran war. Dubai, Qatar, Saudis are kind Iran war. Dubai, Qatar, Saudis are kind Iran war. Dubai, Qatar, Saudis are kind of going to close up the capital flowing of going to close up the capital flowing of going to close up the capital flowing to the US right now. And is that real? I to the US right now. And is that real? I to the US right now. And is that real? I mean, do you think that's a real threat? mean, do you think that's a real threat? mean, do you think that's a real threat? So look, our Middle East business was So look, our Middle East business was So look, our Middle East business was supposed to go public in January and the supposed to go public in January and the supposed to go public in January and the Saudi market was went down 20% over like Saudi market was went down 20% over like Saudi market was went down 20% over like a two-month period and that was like a a two-month period and that was like a a two-month period and that was like a massive damper on the situation. Now massive damper on the situation. Now massive damper on the situation. Now part of it's part of that was because part of it's part of that was because part of it's part of that was because the oil prices had gone down so the oil prices had gone down so the oil prices had gone down so dramatically dramatically dramatically >> and if you went into KSA, you went to >> and if you went into KSA, you went to >> and if you went into KSA, you went to the kingdom, everybody's like, we need the kingdom, everybody's like, we need the kingdom, everybody's like, we need we need oil prices to go up. uh you know we need oil prices to go up. uh you know we need oil prices to go up. uh you know that's the other side of the equation. that's the other side of the equation. that's the other side of the equation. So I don't know what h like I don't I'm So I don't know what h like I don't I'm So I don't know what h like I don't I'm not in the market raising money right at not in the market raising money right at not in the market raising money right at this moment and this is a twoe old thing this moment and this is a twoe old thing this moment and this is a twoe old thing that I you know look I see the news just that I you know look I see the news just that I you know look I see the news just like everybody else and I'm not out like everybody else and I'm not out like everybody else and I'm not out there calling while a war is going on there calling while a war is going on there calling while a war is going on and saying hey guys you got some money. and saying hey guys you got some money. and saying hey guys you got some money. Um, so I don't know exactly what's going Um, so I don't know exactly what's going Um, so I don't know exactly what's going to happen. But if you are an optimist to happen. But if you are an optimist to happen. But if you are an optimist and you're like, "Okay, this isn't this and you're like, "Okay, this isn't this and you're like, "Okay, this isn't this is not going on forever." Just like the is not going on forever." Just like the is not going on forever." Just like the tariffs, tariffs, tariffs, it was the end of the world and then it it was the end of the world and then it it was the end of the world and then it wasn't very quickly. wasn't very quickly. wasn't very quickly. >> If you're an optimist about this >> If you're an optimist about this >> If you're an optimist about this situation and it won't be the end of the situation and it won't be the end of the situation and it won't be the end of the world, maybe even a better world, then world, maybe even a better world, then world, maybe even a better world, then we get to a better place. And I think we get to a better place. And I think we get to a better place. And I think >> progress, abundance, the golden age >> progress, abundance, the golden age >> progress, abundance, the golden age happens. And a lot of it is about all happens. And a lot of it is about all happens. And a lot of it is about all the things that are happening in AI in the things that are happening in AI in the things that are happening in AI in physical AI and and and just the physical AI and and and just the physical AI and and and just the productivity gains that are coming in productivity gains that are coming in productivity gains that are coming in very massive ways. Yeah. very massive ways. Yeah. very massive ways. Yeah. >> Yeah. And I mean it it was shock shock >> Yeah. And I mean it it was shock shock >> Yeah. And I mean it it was shock shock and awe and then hey now we've got a and awe and then hey now we've got a and awe and then hey now we've got a steady state and let's hope that's what steady state and let's hope that's what steady state and let's hope that's what happens in Iran is that we can depose happens in Iran is that we can depose happens in Iran is that we can depose these evil dictators, replace it with these evil dictators, replace it with these evil dictators, replace it with something a little more stable. something a little more stable. something a little more stable. >> And related to this before we wrap, >> And related to this before we wrap, >> And related to this before we wrap, they're going to China. There's big they're going to China. There's big they're going to China. There's big trade deal being negotiated. What do you trade deal being negotiated. What do you trade deal being negotiated. What do you hope comes out of this Chinese thing? hope comes out of this Chinese thing? hope comes out of this Chinese thing? >> And what did you learn in China? >> And what did you learn in China? >> And what did you learn in China? >> What would Yeah. What would you learn? >> What would Yeah. What would you learn? >> What would Yeah. What would you learn? And and what do you think would be great And and what do you think would be great And and what do you think would be great for America? Like what would you like to for America? Like what would you like to for America? Like what would you like to see and be like, man, that's going to see and be like, man, that's going to see and be like, man, that's going to set us all up. No more. set us all up. No more. set us all up. No more. >> Look, here's the thing. If you go to >> Look, here's the thing. If you go to >> Look, here's the thing. If you go to China right now and you go and just take China right now and you go and just take China right now and you go and just take a tour of the manufacturing that's going a tour of the manufacturing that's going a tour of the manufacturing that's going on there, just the manufacturing base, on there, just the manufacturing base, on there, just the manufacturing base, the cities, especially if you've gone to the cities, especially if you've gone to the cities, especially if you've gone to China for a couple decades in a row, China for a couple decades in a row, China for a couple decades in a row, you're like, damn. Yeah. You So, let's you're like, damn. Yeah. You So, let's you're like, damn. Yeah. You So, let's just do two things. You go to Shenzen, just do two things. You go to Shenzen, just do two things. You go to Shenzen, which before felt like Kansas City, but which before felt like Kansas City, but which before felt like Kansas City, but 50 years ago and really humid, which I 50 years ago and really humid, which I 50 years ago and really humid, which I guess Kansas City sometimes, but you go guess Kansas City sometimes, but you go guess Kansas City sometimes, but you go there now and it's like oneupping there now and it's like oneupping there now and it's like oneupping Singapore, Singapore, Singapore, right? Or so that's the city view. right? Or so that's the city view. right? Or so that's the city view. You're just experiencing a very awesome. You're just experiencing a very awesome. You're just experiencing a very awesome. You're like, this is advanced and you You're like, this is advanced and you You're like, this is advanced and you just get the vibe and it's everywhere. just get the vibe and it's everywhere. just get the vibe and it's everywhere. And then you go and you start seeing the And then you go and you start seeing the And then you go and you start seeing the manufacturing base and you see what like manufacturing base and you see what like manufacturing base and you see what like Xiai is doing or any of the other Xiai is doing or any of the other Xiai is doing or any of the other there's so many scrappy guys, badass there's so many scrappy guys, badass there's so many scrappy guys, badass guys everywhere and you're like guys everywhere and you're like guys everywhere and you're like f f f >> they're hungry. >> they're hungry. >> they're hungry. >> So does anybody remember the 2008 >> So does anybody remember the 2008 >> So does anybody remember the 2008 Olympics in Beijing? Anybody? Does Olympics in Beijing? Anybody? Does Olympics in Beijing? Anybody? Does anybody This is a little bit you're down anybody This is a little bit you're down anybody This is a little bit you're down a rabbit hole. Does anybody remember the a rabbit hole. Does anybody remember the a rabbit hole. Does anybody remember the opening ceremony? opening ceremony? opening ceremony? >> And you're like these mofos are taking >> And you're like these mofos are taking >> And you're like these mofos are taking over. At least that's what they want to over. At least that's what they want to over. At least that's what they want to do. That shit's happening. do. That shit's happening. do. That shit's happening. So, I don't have any issue or this is So, I don't have any issue or this is So, I don't have any issue or this is not negativity for me. I'm like, these not negativity for me. I'm like, these not negativity for me. I'm like, these guys are killing it. The best idea is guys are killing it. The best idea is guys are killing it. The best idea is winning. They're fiercely They're winning. They're fiercely They're winning. They're fiercely They're fiercely going after truth and progress fiercely going after truth and progress fiercely going after truth and progress and they're making [ __ ] happen. Let's and they're making [ __ ] happen. Let's and they're making [ __ ] happen. Let's step up our game. Okay. But we can also step up our game. Okay. But we can also step up our game. Okay. But we can also have a friendly game. Like, we don't have a friendly game. Like, we don't have a friendly game. Like, we don't have to like be like the Detroit Pistons have to like be like the Detroit Pistons have to like be like the Detroit Pistons in the '90s, you know? in the '90s, you know? in the '90s, you know? >> Yes. We can we there there's a way >> Yes. We can we there there's a way >> Yes. We can we there there's a way >> go into the stands. >> go into the stands. >> go into the stands. >> Yeah. Yeah. You know, there's a way to >> Yeah. Yeah. You know, there's a way to >> Yeah. Yeah. You know, there's a way to do this, right? And there's a way to do do this, right? And there's a way to do do this, right? And there's a way to do it like adults. I hope that's where we it like adults. I hope that's where we it like adults. I hope that's where we would end up. Um I have a employee who would end up. Um I have a employee who would end up. Um I have a employee who because we we we for for a long time because we we we for for a long time because we we we for for a long time we're the largest build kitchen builders we're the largest build kitchen builders we're the largest build kitchen builders in China. I have an employee in China in China. I have an employee in China in China. I have an employee in China has an American wife. Okay. They both has an American wife. Okay. They both has an American wife. Okay. They both live in China. They're both from China live in China. They're both from China live in China. They're both from China originally. Okay. but want him to it originally. Okay. but want him to it originally. Okay. but want him to it would be great for him to work here on would be great for him to work here on would be great for him to work here on some things I'm doing. It's very hard to some things I'm doing. It's very hard to some things I'm doing. It's very hard to make that happen right now. Now, that's make that happen right now. Now, that's make that happen right now. Now, that's selfish like I like maybe selfish like selfish like I like maybe selfish like selfish like I like maybe selfish like I'm like there's a person I've been I'm like there's a person I've been I'm like there's a person I've been working with for over a decade. I'd love working with for over a decade. I'd love working with for over a decade. I'd love to continue here. Maybe there's other to continue here. Maybe there's other to continue here. Maybe there's other bigger picture items that I'm not bigger picture items that I'm not bigger picture items that I'm not dealing with. I'm not the geopolitical dealing with. I'm not the geopolitical dealing with. I'm not the geopolitical guy, but I'd love for there to be sort guy, but I'd love for there to be sort guy, but I'd love for there to be sort of of of good good good relations and good like like if you have relations and good like like if you have relations and good like like if you have a significant other in who is an a significant other in who is an a significant other in who is an American citizen like do we have to make American citizen like do we have to make American citizen like do we have to make that hard as an example that hard as an example that hard as an example >> some normaly would >> some normaly would >> some normaly would >> something you know I'm just saying now I >> something you know I'm just saying now I >> something you know I'm just saying now I agree like agree like agree like >> there are ways to do immigration >> there are ways to do immigration >> there are ways to do immigration properly like we effed it up super bad properly like we effed it up super bad properly like we effed it up super bad don't to get me started. But there's don't to get me started. But there's don't to get me started. But there's also there's good migration too. Like a also there's good migration too. Like a also there's good migration too. Like a lot of great innovators lot of great innovators lot of great innovators all over the place came from other all over the place came from other all over the place came from other places for their own version of the places for their own version of the places for their own version of the American dream. God bless American dream. God bless American dream. God bless >> Freeberg. >> Freeberg. >> Freeberg. >> And we don't have to that doesn't have >> And we don't have to that doesn't have >> And we don't have to that doesn't have to be a negative thing. And so I'd like to be a negative thing. And so I'd like to be a negative thing. And so I'd like to see more of that. And um yeah, to see more of that. And um yeah, to see more of that. And um yeah, China's China's wild. So let's uh let's China's China's wild. So let's uh let's China's China's wild. So let's uh let's keep our eye on the ball and let's let's keep our eye on the ball and let's let's keep our eye on the ball and let's let's give them a run for their money, too. give them a run for their money, too. give them a run for their money, too. >> Give it up for TK. >> Give it up for TK. >> Give it up for TK. All right. Well done, brother. Thank All right. Well done, brother. Thank All right. Well done, brother. Thank you. That was good. Good to see you, you. That was good. Good to see you, you. That was good. Good to see you, brother. Wow. Michael Dell. brother. Wow. Michael Dell. brother. Wow. Michael Dell. My lord. Texas native. My lord. Texas native. My lord. Texas native. >> Michael. >> Michael. >> Michael. >> Yes. Born born born in Houston. >> Yes. Born born born in Houston. >> Yes. Born born born in Houston. >> Well, I missed the the opening. We we >> Well, I missed the the opening. We we >> Well, I missed the the opening. We we jumped to the music, but you started jumped to the music, but you started jumped to the music, but you started Dell Computer here in Austin with a Dell Computer here in Austin with a Dell Computer here in Austin with a thousand bucks thousand bucks thousand bucks >> 42 years ago in my dorm room at Dolby at >> 42 years ago in my dorm room at Dolby at >> 42 years ago in my dorm room at Dolby at UT. UT. UT. uh about 10 days before I finished my uh about 10 days before I finished my uh about 10 days before I finished my freshman semester. freshman semester. freshman semester. >> Amazing. And it's been working out >> Amazing. And it's been working out >> Amazing. And it's been working out pretty good. pretty good. pretty good. >> Yeah, it's been some bumps in the road, >> Yeah, it's been some bumps in the road, >> Yeah, it's been some bumps in the road, but yeah, it's generally generally but yeah, it's generally generally but yeah, it's generally generally worked out okay. Yeah, we'll have about worked out okay. Yeah, we'll have about worked out okay. Yeah, we'll have about 140 billion in revenue this year. So, 140 billion in revenue this year. So, 140 billion in revenue this year. So, >> yeah, it's okay. It compounds over time, >> yeah, it's okay. It compounds over time, >> yeah, it's okay. It compounds over time, doesn't it? doesn't it? doesn't it? >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> You know, you start small and just keep >> You know, you start small and just keep >> You know, you start small and just keep adding and adding and adding and >> there you That's how it goes. It's just >> there you That's how it goes. It's just >> there you That's how it goes. It's just that easy. that easy. that easy. >> But why Texas? Like, I think this is an >> But why Texas? Like, I think this is an >> But why Texas? Like, I think this is an important thing. We're in Austin. Jason important thing. We're in Austin. Jason important thing. We're in Austin. Jason lives here. David Sax lives here now. lives here. David Sax lives here now. lives here. David Sax lives here now. More people are moving from California More people are moving from California More people are moving from California to Austin. Why Austin? Why Texas? Why is to Austin. Why Austin? Why Texas? Why is to Austin. Why Austin? Why Texas? Why is it work here? And is it getting better? it work here? And is it getting better? it work here? And is it getting better? Is it just always worked? You know, I Is it just always worked? You know, I Is it just always worked? You know, I think Texas has had a think Texas has had a think Texas has had a uh, you know, low tax, progrowth, uh, you know, low tax, progrowth, uh, you know, low tax, progrowth, uh, environment for a long time and pro, uh, environment for a long time and pro, uh, environment for a long time and pro, you know, sort of progressive business you know, sort of progressive business you know, sort of progressive business climate. And you know, if you sort of climate. And you know, if you sort of climate. And you know, if you sort of look at the the growth of the Texas look at the the growth of the Texas look at the the growth of the Texas economy relative to the rest of the economy relative to the rest of the economy relative to the rest of the United States without Texas, you know, United States without Texas, you know, United States without Texas, you know, Texas just kind of looks like a better Texas just kind of looks like a better Texas just kind of looks like a better version of the US economy. version of the US economy. version of the US economy. And uh you know, you now you've got uh And uh you know, you now you've got uh And uh you know, you now you've got uh Austin is sort of just about in the top Austin is sort of just about in the top Austin is sort of just about in the top 10 cities in in the United States. So 10 cities in in the United States. So 10 cities in in the United States. So you've got uh when that happens, you'll you've got uh when that happens, you'll you've got uh when that happens, you'll have four of the 10 largest cities in have four of the 10 largest cities in have four of the 10 largest cities in America in Texas. One out of 10 children America in Texas. One out of 10 children America in Texas. One out of 10 children born in the United States born in Texas. born in the United States born in Texas. born in the United States born in Texas. Uh more New York Stock Exchange Uh more New York Stock Exchange Uh more New York Stock Exchange companies in Texas than in New York or companies in Texas than in New York or companies in Texas than in New York or anywhere else. And uh you know, you've anywhere else. And uh you know, you've anywhere else. And uh you know, you've got the University of Texas here in got the University of Texas here in got the University of Texas here in Austin, which I always think of as kind Austin, which I always think of as kind Austin, which I always think of as kind of the wellspring for a lot of the of the wellspring for a lot of the of the wellspring for a lot of the companies that are here. certainly ours companies that are here. certainly ours companies that are here. certainly ours and um you know a long history of of uh and um you know a long history of of uh and um you know a long history of of uh innovative pioneering spirit and innovative pioneering spirit and innovative pioneering spirit and entrepreneurship and um it's been a entrepreneurship and um it's been a entrepreneurship and um it's been a fantastic place for us fantastic place for us fantastic place for us >> and part of this I think Freeberg and >> and part of this I think Freeberg and >> and part of this I think Freeberg and Michael is what's happened in the other Michael is what's happened in the other Michael is what's happened in the other great cities or what were once great great cities or what were once great great cities or what were once great cities my hometown New York I got to cities my hometown New York I got to cities my hometown New York I got to spend 10 years in LA and the last 12 in spend 10 years in LA and the last 12 in spend 10 years in LA and the last 12 in um the Bay Area and what's happening um the Bay Area and what's happening um the Bay Area and what's happening there is incredibly unamerican uh and there is incredibly unamerican uh and there is incredibly unamerican uh and they're decelerating when compared and I they're decelerating when compared and I they're decelerating when compared and I think maybe the gap maybe and the think maybe the gap maybe and the think maybe the gap maybe and the disparity from these um two locations disparity from these um two locations disparity from these um two locations has gotten greater. Yeah. And you're has gotten greater. Yeah. And you're has gotten greater. Yeah. And you're seeing a lot more people say life there seeing a lot more people say life there seeing a lot more people say life there here in Austin seems a lot better than here in Austin seems a lot better than here in Austin seems a lot better than the life I'm living in New York, LA or the life I'm living in New York, LA or the life I'm living in New York, LA or in in the Bay Area. in in the Bay Area. in in the Bay Area. >> Yeah. Well, I've got a lot of new >> Yeah. Well, I've got a lot of new >> Yeah. Well, I've got a lot of new friends and neighbors, you know, that friends and neighbors, you know, that friends and neighbors, you know, that that have that have that have come. And that have that have that have come. And that have that have that have come. And certainly, I mean, if if you look at the certainly, I mean, if if you look at the certainly, I mean, if if you look at the the the migration statistics, Texas has the the migration statistics, Texas has the the migration statistics, Texas has attracted an enormous number of people attracted an enormous number of people attracted an enormous number of people and and look, I mean, when you when you and and look, I mean, when you when you and and look, I mean, when you when you when you look at the environment here when you look at the environment here when you look at the environment here and compare it to the other kind of and compare it to the other kind of and compare it to the other kind of situations that are going on, uh it's situations that are going on, uh it's situations that are going on, uh it's it's it's very attractive. But, you it's it's very attractive. But, you it's it's very attractive. But, you know, it's it's kind of been great for a know, it's it's kind of been great for a know, it's it's kind of been great for a long time. So, uh, it's not really new long time. So, uh, it's not really new long time. So, uh, it's not really new news to us that have been here a while. news to us that have been here a while. news to us that have been here a while. >> Yeah. Elon had a great experience when >> Yeah. Elon had a great experience when >> Yeah. Elon had a great experience when he was building the the Gigafactory over he was building the the Gigafactory over he was building the the Gigafactory over here. here. here. >> They let you do stuff here basically. >> They let you do stuff here basically. >> They let you do stuff here basically. You know, You know, You know, >> they let him build it >> they let him build it >> they let him build it >> which he said was like an incredible >> which he said was like an incredible >> which he said was like an incredible experience for him because in California experience for him because in California experience for him because in California they didn't let him build, you know, they didn't let him build, you know, they didn't let him build, you know, these factories. And in fact, the Tesla these factories. And in fact, the Tesla these factories. And in fact, the Tesla factories that in Fremont was just an factories that in Fremont was just an factories that in Fremont was just an old ancient factory that he was able to old ancient factory that he was able to old ancient factory that he was able to retrofit. So, uh, there's something retrofit. So, uh, there's something retrofit. So, uh, there's something going on here as well with the data going on here as well with the data going on here as well with the data centers and and that's actually, I centers and and that's actually, I centers and and that's actually, I think, very close to what you're working think, very close to what you're working think, very close to what you're working on at Dell. Maybe you could talk a on at Dell. Maybe you could talk a on at Dell. Maybe you could talk a little bit about the data center boom little bit about the data center boom little bit about the data center boom that's going on in Texas that maybe that's going on in Texas that maybe that's going on in Texas that maybe people aren't paying attention to. people aren't paying attention to. people aren't paying attention to. >> Sure. Well, there's, you know, obviously >> Sure. Well, there's, you know, obviously >> Sure. Well, there's, you know, obviously been enormous buildout of AI been enormous buildout of AI been enormous buildout of AI infrastructure infrastructure infrastructure and that requires, you know, lots of new and that requires, you know, lots of new and that requires, you know, lots of new data centers, lots of power. Texas, you data centers, lots of power. Texas, you data centers, lots of power. Texas, you know, has an enormous uh advantage there know, has an enormous uh advantage there know, has an enormous uh advantage there relative to other states. Lot of power, relative to other states. Lot of power, relative to other states. Lot of power, a lot of land, and it's and and you can a lot of land, and it's and and you can a lot of land, and it's and and you can build stuff, right? So, there's there's build stuff, right? So, there's there's build stuff, right? So, there's there's been a massive buildout particularly in been a massive buildout particularly in been a massive buildout particularly in some of the cities in and towns in West some of the cities in and towns in West some of the cities in and towns in West Texas where there's not a lot of Texas where there's not a lot of Texas where there's not a lot of population and so they're not really too population and so they're not really too population and so they're not really too opposed to having data centers out in opposed to having data centers out in opposed to having data centers out in the middle of nowhere where there's land the middle of nowhere where there's land the middle of nowhere where there's land and power. And so um yeah, I mean the and power. And so um yeah, I mean the and power. And so um yeah, I mean the the the the the the the demand for tokens is enormous. You know, demand for tokens is enormous. You know, demand for tokens is enormous. You know, we've been building these AI data we've been building these AI data we've been building these AI data centers not just here in Texas, but centers not just here in Texas, but centers not just here in Texas, but around the world. And you know, the around the world. And you know, the around the world. And you know, the growth in that has been tremendous. growth in that has been tremendous. growth in that has been tremendous. You know, we we introduced the the first You know, we we introduced the the first You know, we we introduced the the first uh H100 server. It was literally a uh H100 server. It was literally a uh H100 server. It was literally a couple weeks before Chat GPT was couple weeks before Chat GPT was couple weeks before Chat GPT was announced. And you know uh the announced. And you know uh the announced. And you know uh the progression of our business in that area progression of our business in that area progression of our business in that area has sort of gone from like 2 billion to has sort of gone from like 2 billion to has sort of gone from like 2 billion to 10 billion to 25 billion to this year 10 billion to 25 billion to this year 10 billion to 25 billion to this year it'll be like 50 billion. So so it'll be like 50 billion. So so it'll be like 50 billion. So so tremendous growth and when when you tremendous growth and when when you tremendous growth and when when you think about what these models are think about what these models are think about what these models are creating creating creating there's this phase change that's there's this phase change that's there's this phase change that's happened in computing right we we we had happened in computing right we we we had happened in computing right we we we had 60 years of calculating computing. Now 60 years of calculating computing. Now 60 years of calculating computing. Now we have machines that are thinking and we have machines that are thinking and we have machines that are thinking and helping us think. And so the demand for helping us think. And so the demand for helping us think. And so the demand for that kind of intelligence and you know that kind of intelligence and you know that kind of intelligence and you know the models are amazing but they're also the models are amazing but they're also the models are amazing but they're also the worst they'll ever be and they the worst they'll ever be and they the worst they'll ever be and they continue to improve. And so we just see continue to improve. And so we just see continue to improve. And so we just see uh a lot more demand than supply. And uh a lot more demand than supply. And uh a lot more demand than supply. And it's happening not just in the it's happening not just in the it's happening not just in the hyperscalers and the cloud service hyperscalers and the cloud service hyperscalers and the cloud service providers. It's happening in 4,000 providers. It's happening in 4,000 providers. It's happening in 4,000 enterprises where we building these enterprises where we building these enterprises where we building these these Dell AI factories. It's happening these Dell AI factories. It's happening these Dell AI factories. It's happening in sovereign AI, you know, like with in sovereign AI, you know, like with in sovereign AI, you know, like with Palunteer and, you know, people want to Palunteer and, you know, people want to Palunteer and, you know, people want to protect their data but also use AI on protect their data but also use AI on protect their data but also use AI on it. They want to bring the AI to where it. They want to bring the AI to where it. They want to bring the AI to where their data is. And you know when this their data is. And you know when this their data is. And you know when this kind of started a few years ago, we had kind of started a few years ago, we had kind of started a few years ago, we had some some some really sophisticated really sophisticated really sophisticated uh large companies think of like Fortune uh large companies think of like Fortune uh large companies think of like Fortune 100 and they started you know buying 100 and they started you know buying 100 and they started you know buying these AI servers from us and and they these AI servers from us and and they these AI servers from us and and they kind of knew what they were doing right kind of knew what they were doing right kind of knew what they were doing right you know and and uh we said what what you know and and uh we said what what you know and and uh we said what what are you doing and and they they were are you doing and and they they were are you doing and and they they were they were kind of taking uh building they were kind of taking uh building they were kind of taking uh building their own models they were taking open- their own models they were taking open- their own models they were taking open- source models they were running them source models they were running them source models they were running them some of them were were algorithmic some of them were were algorithmic some of them were were algorithmic traders or you know derivatives of traders or you know derivatives of traders or you know derivatives of machine learning and of course um they machine learning and of course um they machine learning and of course um they needed a lot of help in in doing that needed a lot of help in in doing that needed a lot of help in in doing that cuz it it it was sort of a complicated cuz it it it was sort of a complicated cuz it it it was sort of a complicated thing. So about two years ago, we we put thing. So about two years ago, we we put thing. So about two years ago, we we put together this product that we we we together this product that we we we together this product that we we we called the Deli factory and now we've called the Deli factory and now we've called the Deli factory and now we've got 4,000 plus of these and it's kind of got 4,000 plus of these and it's kind of got 4,000 plus of these and it's kind of running rampant across enterprises. running rampant across enterprises. running rampant across enterprises. >> How do you think about >> How do you think about >> How do you think about the payback time on the investment the payback time on the investment the payback time on the investment that's being made? The administration that's being made? The administration that's being made? The administration put in place this accelerated put in place this accelerated put in place this accelerated depreciation rule. the cont. depreciation rule. the cont. depreciation rule. the cont. >> Yeah, that's very helpful actually. >> Yeah, that's very helpful actually. >> Yeah, that's very helpful actually. >> So just for folks to understand that a >> So just for folks to understand that a >> So just for folks to understand that a little bit like if you spend a hundred little bit like if you spend a hundred little bit like if you spend a hundred billion dollars this year building and billion dollars this year building and billion dollars this year building and data centers and buying infrastructure data centers and buying infrastructure data centers and buying infrastructure for those data centers, you get to write for those data centers, you get to write for those data centers, you get to write off 100% of that this year. Correct. off 100% of that this year. Correct. off 100% of that this year. Correct. >> To deduct it. So you don't pay taxes. >> To deduct it. So you don't pay taxes. >> To deduct it. So you don't pay taxes. You pay way much fewer tax You pay way much fewer tax You pay way much fewer tax >> and that's in place for 10 years. I >> and that's in place for 10 years. I >> and that's in place for 10 years. I think think think >> that's a 10ear deal. So it's >> that's a 10ear deal. So it's >> that's a 10ear deal. So it's accelerating the investment. How much is accelerating the investment. How much is accelerating the investment. How much is that helping versus how are you seeing that helping versus how are you seeing that helping versus how are you seeing folks rationalize the investment folks rationalize the investment folks rationalize the investment relative to the return they're going to relative to the return they're going to relative to the return they're going to make and over what time scale? This is make and over what time scale? This is make and over what time scale? This is still the big question. Is the money still the big question. Is the money still the big question. Is the money really there? The hyperscalers maybe really there? The hyperscalers maybe really there? The hyperscalers maybe they're starting to come up but end they're starting to come up but end they're starting to come up but end usage end states are we kind of hey wait usage end states are we kind of hey wait usage end states are we kind of hey wait and see we don't know yet or folks are and see we don't know yet or folks are and see we don't know yet or folks are getting 20% ROIC starting in year one getting 20% ROIC starting in year one getting 20% ROIC starting in year one after they've made the investment. You after they've made the investment. You after they've made the investment. You know, I I I can tell you in in our know, I I I can tell you in in our know, I I I can tell you in in our business in in our company, we business in in our company, we business in in our company, we definitely see plenty of use cases where definitely see plenty of use cases where definitely see plenty of use cases where the ROI or the improvement in the ROI or the improvement in the ROI or the improvement in productivity efficiency is 20% or or productivity efficiency is 20% or or productivity efficiency is 20% or or greater greater greater >> right away. It gets there. >> right away. It gets there. >> right away. It gets there. >> I mean it, you know, it's not like you >> I mean it, you know, it's not like you >> I mean it, you know, it's not like you just hit a button and you get 20%. just hit a button and you get 20%. just hit a button and you get 20%. Right? There's there's work required in Right? There's there's work required in Right? There's there's work required in thinking through the processes and maybe thinking through the processes and maybe thinking through the processes and maybe it's worth a little bit describing that. it's worth a little bit describing that. it's worth a little bit describing that. So you know when you have a a any So you know when you have a a any So you know when you have a a any company company company its processes and tools and technology its processes and tools and technology its processes and tools and technology are a function of what was available at are a function of what was available at are a function of what was available at the time it created those things. And so the time it created those things. And so the time it created those things. And so what you sort of have to do is step back what you sort of have to do is step back what you sort of have to do is step back and say all right what's the trajectory and say all right what's the trajectory and say all right what's the trajectory of the improvement of the tools? What of the improvement of the tools? What of the improvement of the tools? What outcome are we trying to create? And now outcome are we trying to create? And now outcome are we trying to create? And now let's simplify and standardize the let's simplify and standardize the let's simplify and standardize the processes. Get all the tools together. processes. Get all the tools together. processes. Get all the tools together. get all the data together and then apply get all the data together and then apply get all the data together and then apply the technology and this really has to be the technology and this really has to be the technology and this really has to be done in kind of a tops down way. Uh you done in kind of a tops down way. Uh you done in kind of a tops down way. Uh you can't sort of do it spontane in you know can't sort of do it spontane in you know can't sort of do it spontane in you know in in silos are not going to in in silos are not going to in in silos are not going to spontaneously improve themselves and spontaneously improve themselves and spontaneously improve themselves and often that means that you're completely often that means that you're completely often that means that you're completely changing the way the organization works. changing the way the organization works. changing the way the organization works. >> It's like a wholesale rearchitecture. >> It's like a wholesale rearchitecture. >> It's like a wholesale rearchitecture. >> It's a it's a reimagining of the way a >> It's a it's a reimagining of the way a >> It's a it's a reimagining of the way a company works. And you know, I mean, the company works. And you know, I mean, the company works. And you know, I mean, the way I described this to our team about 3 way I described this to our team about 3 way I described this to our team about 3 years ago is, years ago is, years ago is, you know, uh, we were going to have a you know, uh, we were going to have a you know, uh, we were going to have a new competitor 5 years from now, that new competitor 5 years from now, that new competitor 5 years from now, that would be two years from now, you know, would be two years from now, you know, would be two years from now, you know, that was in every business that we're in that was in every business that we're in that was in every business that we're in except they were going to be faster and except they were going to be faster and except they were going to be faster and more innovative and more successful and more innovative and more successful and more innovative and more successful and lower cost and they were going to put us lower cost and they were going to put us lower cost and they were going to put us out of business. And the only way we out of business. And the only way we out of business. And the only way we were going to prevent that is is we're were going to prevent that is is we're were going to prevent that is is we're going to become that company. And here's going to become that company. And here's going to become that company. And here's how we're going to do it. And you know, how we're going to do it. And you know, how we're going to do it. And you know, it excited some people, it scared some it excited some people, it scared some it excited some people, it scared some people. And but I actually believe that people. And but I actually believe that people. And but I actually believe that that's that's that's what's going to happen. And and so we've what's going to happen. And and so we've what's going to happen. And and so we've been dramatically changing our business. been dramatically changing our business. been dramatically changing our business. I would say the biggest benefit by far I would say the biggest benefit by far I would say the biggest benefit by far is speed. We're much faster at being is speed. We're much faster at being is speed. We're much faster at being able to apply innovations. And so, you able to apply innovations. And so, you able to apply innovations. And so, you know, you look at our at our know, you look at our at our know, you look at our at our infrastructure business last quarter infrastructure business last quarter infrastructure business last quarter grew 73%. Well, that's kind of unusual grew 73%. Well, that's kind of unusual grew 73%. Well, that's kind of unusual for a business of this size. for a business of this size. for a business of this size. >> And uh you know, this quarter we guided >> And uh you know, this quarter we guided >> And uh you know, this quarter we guided that it would grow even faster, like that it would grow even faster, like that it would grow even faster, like 100%. So, 100%. So, 100%. So, >> you've lived through a couple of >> you've lived through a couple of >> you've lived through a couple of paradigm shifts here. The PC revolution paradigm shifts here. The PC revolution paradigm shifts here. The PC revolution obviously you led that. Um and then you obviously you led that. Um and then you obviously you led that. Um and then you of course had you know client server, of course had you know client server, of course had you know client server, the network revolution, online uh the network revolution, online uh the network revolution, online uh internet cloud, mobile. internet cloud, mobile. internet cloud, mobile. >> Yeah. So each one of those we saw >> Yeah. So each one of those we saw >> Yeah. So each one of those we saw massive disruption. We were talking in massive disruption. We were talking in massive disruption. We were talking in in the green room about hey we used to in the green room about hey we used to in the green room about hey we used to have a typing pool. There was a mail have a typing pool. There was a mail have a typing pool. There was a mail room. All these things got abstracted room. All these things got abstracted room. All these things got abstracted away by the PC andorked PC revolution. away by the PC andorked PC revolution. away by the PC andorked PC revolution. Um but it took a decade or two and this Um but it took a decade or two and this Um but it took a decade or two and this one's happening a lot faster. Yeah. one's happening a lot faster. Yeah. one's happening a lot faster. Yeah. >> Yeah. This one I think it's it's like um >> Yeah. This one I think it's it's like um >> Yeah. This one I think it's it's like um you know a quarter is like a year maybe you know a quarter is like a year maybe you know a quarter is like a year maybe it's five times faster or something like it's five times faster or something like it's five times faster or something like that. But but back to your question, I I that. But but back to your question, I I that. But but back to your question, I I I would say maybe 10 or 15% of large I would say maybe 10 or 15% of large I would say maybe 10 or 15% of large companies have really figured this out companies have really figured this out companies have really figured this out and the rest of them are kind of and the rest of them are kind of and the rest of them are kind of fumbling around. And you know, there's a fumbling around. And you know, there's a fumbling around. And you know, there's a tendency when when you hear about a new tendency when when you hear about a new tendency when when you hear about a new technology to like, oh, let's just let's technology to like, oh, let's just let's technology to like, oh, let's just let's just go do it. You know, show the boss, just go do it. You know, show the boss, just go do it. You know, show the boss, hey, we did AI. You know, hey, we did AI. You know, hey, we did AI. You know, >> the board said we got to do AI. We got >> the board said we got to do AI. We got >> the board said we got to do AI. We got to do AI, guys. to do AI, guys. to do AI, guys. >> We need AI. Are you proud of me, boss? >> We need AI. Are you proud of me, boss? >> We need AI. Are you proud of me, boss? You know, You know, You know, >> um and >> um and >> um and >> look at what I made. Exactly. And I also >> look at what I made. Exactly. And I also >> look at what I made. Exactly. And I also think you know there's an important think you know there's an important think you know there's an important point about about uh this which is point about about uh this which is point about about uh this which is >> you know the barrier to technology >> you know the barrier to technology >> you know the barrier to technology adoption is is not technology it's adoption is is not technology it's adoption is is not technology it's culture and leadership and courage right culture and leadership and courage right culture and leadership and courage right and and so and and so and and so >> willingness to change and >> willingness to change and >> willingness to change and >> and you know if you if you're in a >> and you know if you if you're in a >> and you know if you if you're in a business that you don't think is business that you don't think is business that you don't think is changing very much or you know hard changing very much or you know hard changing very much or you know hard change is really hard right you you have change is really hard right you you have change is really hard right you you have to it can be very uncomfortable you're to it can be very uncomfortable you're to it can be very uncomfortable you're like, well, we're going to stop doing like, well, we're going to stop doing like, well, we're going to stop doing that. Well, we don't need this anymore. that. Well, we don't need this anymore. that. Well, we don't need this anymore. >> Particularly if your bonus is dependent >> Particularly if your bonus is dependent >> Particularly if your bonus is dependent on not messing things up. But let's go, on not messing things up. But let's go, on not messing things up. But let's go, let's use the internet as an analogy, let's use the internet as an analogy, let's use the internet as an analogy, which you saw up close. There were which you saw up close. There were which you saw up close. There were businesses that were internet transition businesses that were internet transition businesses that were internet transition successful. They made the transition. successful. They made the transition. successful. They made the transition. Maybe Macy's.com versus Sears Robuck, Maybe Macy's.com versus Sears Robuck, Maybe Macy's.com versus Sears Robuck, right? Like maybe Macy's did a better right? Like maybe Macy's did a better right? Like maybe Macy's did a better job of taking advantage of the internet job of taking advantage of the internet job of taking advantage of the internet than Sears. But then there was internet than Sears. But then there was internet than Sears. But then there was internet native businesses that seemed to blow native businesses that seemed to blow native businesses that seemed to blow them all out and maybe Amazon's a good them all out and maybe Amazon's a good them all out and maybe Amazon's a good example or um CSN stores whatever they example or um CSN stores whatever they example or um CSN stores whatever they be Wayfair etc. What's the right way to be Wayfair etc. What's the right way to be Wayfair etc. What's the right way to think about this evolution in industries think about this evolution in industries think about this evolution in industries generally? Are we going to have generally? Are we going to have generally? Are we going to have their businesses are going to transition their businesses are going to transition their businesses are going to transition successfully and those that aren't and successfully and those that aren't and successfully and those that aren't and they're going to die? And is this really they're going to die? And is this really they're going to die? And is this really going to are we going to see AI native going to are we going to see AI native going to are we going to see AI native businesses in every industry come in and businesses in every industry come in and businesses in every industry come in and just disrupt everything? I believe we just disrupt everything? I believe we just disrupt everything? I believe we will and certainly you know when you will and certainly you know when you will and certainly you know when you talk to the Collison brothers at Stripe talk to the Collison brothers at Stripe talk to the Collison brothers at Stripe they'll tell you that the rate of growth they'll tell you that the rate of growth they'll tell you that the rate of growth of the 2025 cohort companies is about of the 2025 cohort companies is about of the 2025 cohort companies is about four times faster than the 2018 four times faster than the 2018 four times faster than the 2018 companies and so every year comp the new companies and so every year comp the new companies and so every year comp the new batch of companies are growing faster batch of companies are growing faster batch of companies are growing faster and faster because they're starting with and faster because they're starting with and faster because they're starting with all these new tools that you know all these new tools that you know all these new tools that you know >> because they see all the new companies >> because they see all the new companies >> because they see all the new companies on their platform. on their platform. on their platform. >> Exactly. And so when when you think >> Exactly. And so when when you think >> Exactly. And so when when you think about uh an incumbent company, okay, about uh an incumbent company, okay, about uh an incumbent company, okay, that already exists, it has, let's say, that already exists, it has, let's say, that already exists, it has, let's say, it's got brands, it's got balance it's got brands, it's got balance it's got brands, it's got balance sheets, it's got, you know, customer sheets, it's got, you know, customer sheets, it's got, you know, customer relationships, whatever stuff, right? relationships, whatever stuff, right? relationships, whatever stuff, right? Okay. Um, but that's sort of like those Okay. Um, but that's sort of like those Okay. Um, but that's sort of like those are expiring value assets. If it doesn't are expiring value assets. If it doesn't are expiring value assets. If it doesn't change quickly and get onto the other change quickly and get onto the other change quickly and get onto the other side of this, I think it will go out of side of this, I think it will go out of side of this, I think it will go out of business. And which is exactly the business. And which is exactly the business. And which is exactly the speech I gave to our team, you know, speech I gave to our team, you know, speech I gave to our team, you know, three three years ago. And three three years ago. And three three years ago. And uh I think, you know, you you you you uh I think, you know, you you you you uh I think, you know, you you you you you have to be uh bold and you got to go you have to be uh bold and you got to go you have to be uh bold and you got to go make those changes to to make those changes to to make those changes to to not only survive this, but but to but to not only survive this, but but to but to not only survive this, but but to but to thrive. And you know, I think about it thrive. And you know, I think about it thrive. And you know, I think about it is how do we prepare our company to be is how do we prepare our company to be is how do we prepare our company to be ready for the 2030s, ready for the 2030s, ready for the 2030s, >> right? Isn't it like it's much more >> right? Isn't it like it's much more >> right? Isn't it like it's much more it's kind of the story line. There's it's kind of the story line. There's it's kind of the story line. There's more to do than there ever was. It's more to do than there ever was. It's more to do than there ever was. It's like when the internet arrive kind of like when the internet arrive kind of like when the internet arrive kind of came around, Sears doesn't just need to came around, Sears doesn't just need to came around, Sears doesn't just need to sell locally. They can sell to the sell locally. They can sell to the sell locally. They can sell to the world. world. world. >> Well, sure. I mean, this is the point >> Well, sure. I mean, this is the point >> Well, sure. I mean, this is the point when when when we have better tools, we when when when we have better tools, we when when when we have better tools, we can do way more things, right? And and can do way more things, right? And and can do way more things, right? And and uh you know, when you know, when I hear uh you know, when you know, when I hear uh you know, when you know, when I hear people say, "Oh, you know, um maybe people say, "Oh, you know, um maybe people say, "Oh, you know, um maybe we're just going to have all these great we're just going to have all these great we're just going to have all these great tools and we we won't do more things. tools and we we won't do more things. tools and we we won't do more things. we'll just do the same things with fewer we'll just do the same things with fewer we'll just do the same things with fewer people. It doesn't sound right to me. I people. It doesn't sound right to me. I people. It doesn't sound right to me. I I mean, there'll be some of that, but I I mean, there'll be some of that, but I I mean, there'll be some of that, but I think most of it will be we're just think most of it will be we're just think most of it will be we're just going to do a whole lot more things. going to do a whole lot more things. going to do a whole lot more things. We're going to solve a lot more We're going to solve a lot more We're going to solve a lot more problems. We're going to accelerate problems. We're going to accelerate problems. We're going to accelerate scientific discovery. scientific discovery. scientific discovery. We're we're we're going to invent all We're we're we're going to invent all We're we're we're going to invent all sorts of new things. We're going to sorts of new things. We're going to sorts of new things. We're going to solve all sorts of problems that haven't solve all sorts of problems that haven't solve all sorts of problems that haven't been solved. been solved. been solved. >> And you know, that's that's super >> And you know, that's that's super >> And you know, that's that's super exciting. exciting. exciting. >> What do we have wrong on infrastructure? >> What do we have wrong on infrastructure? >> What do we have wrong on infrastructure? So the original build cycle looked a lot So the original build cycle looked a lot So the original build cycle looked a lot like everything's in a data center. like everything's in a data center. like everything's in a data center. Everything's got to sit there. That's Everything's got to sit there. That's Everything's got to sit there. That's where all the intelligence. It'll all be where all the intelligence. It'll all be where all the intelligence. It'll all be in these kind of hosted proprietary in these kind of hosted proprietary in these kind of hosted proprietary cloud models. Do you think that it's cloud models. Do you think that it's cloud models. Do you think that it's open source? Is it distributed on the open source? Is it distributed on the open source? Is it distributed on the edge? Where does the intelligence where edge? Where does the intelligence where edge? Where does the intelligence where does the inference sit? And how does does the inference sit? And how does does the inference sit? And how does that really change or kind of that really change or kind of that really change or kind of rearchitect the industry? Do you think rearchitect the industry? Do you think rearchitect the industry? Do you think >> it's really all the above? I mean it >> it's really all the above? I mean it >> it's really all the above? I mean it it's not like there's one answer. I mean it's not like there's one answer. I mean it's not like there's one answer. I mean certainly if you go to certainly if you go to certainly if you go to uh any industrial company or natural uh any industrial company or natural uh any industrial company or natural resources company advanced manufacturing resources company advanced manufacturing resources company advanced manufacturing retail logistics there's tons of retail logistics there's tons of retail logistics there's tons of inference at the edge and that's growing inference at the edge and that's growing inference at the edge and that's growing very very fast and uh you know we make a very very fast and uh you know we make a very very fast and uh you know we make a lot of that embedded equipment certainly lot of that embedded equipment certainly lot of that embedded equipment certainly you know telos are doing that too I mean you know telos are doing that too I mean you know telos are doing that too I mean it's pretty much every every industry it's pretty much every every industry it's pretty much every every industry think about wherever data is being think about wherever data is being think about wherever data is being created you want the AI I infrastructure created you want the AI I infrastructure created you want the AI I infrastructure and the inference you know close to the and the inference you know close to the and the inference you know close to the data. Um data. Um data. Um you know there there there has been this you know there there there has been this you know there there there has been this sort of rebalancing as companies have sort of rebalancing as companies have sort of rebalancing as companies have figured out you know sort of everybody figured out you know sort of everybody figured out you know sort of everybody loves the public cloud right until they loves the public cloud right until they loves the public cloud right until they get the bill right they get the bill get the bill right they get the bill get the bill right they get the bill they're like wait this is supposed to they're like wait this is supposed to they're like wait this is supposed to save us money yes save us money yes save us money yes >> costs quite a bit more. So, you know, >> costs quite a bit more. So, you know, >> costs quite a bit more. So, you know, the the the lowest cost token is going the the the lowest cost token is going the the the lowest cost token is going to be the one that's generated right to be the one that's generated right to be the one that's generated right where the data is on the device. You're where the data is on the device. You're where the data is on the device. You're going to have, you know, tokens being going to have, you know, tokens being going to have, you know, tokens being generated on your phone, on your PC, in generated on your phone, on your PC, in generated on your phone, on your PC, in every embedded piece of equipment. And every embedded piece of equipment. And every embedded piece of equipment. And and look, we have an interesting and look, we have an interesting and look, we have an interesting perspective on this business because we perspective on this business because we perspective on this business because we have 10,000 customers where they embed have 10,000 customers where they embed have 10,000 customers where they embed our product in their product. This is our product in their product. This is our product in their product. This is you know think medical devices, you know think medical devices, you know think medical devices, security, all sorts of things in security, all sorts of things in security, all sorts of things in hospitals and industrial plants and you hospitals and industrial plants and you hospitals and industrial plants and you know any any kind of uh you know uh know any any kind of uh you know uh know any any kind of uh you know uh datadriven activity right requires some datadriven activity right requires some datadriven activity right requires some kind of computing network storage kind of computing network storage kind of computing network storage infrastructure. infrastructure. infrastructure. >> Yeah. So when you um look at the desktop >> Yeah. So when you um look at the desktop >> Yeah. So when you um look at the desktop where you started, it's coming full where you started, it's coming full where you started, it's coming full circle and this must be at least very circle and this must be at least very circle and this must be at least very interesting or intriguing to you that interesting or intriguing to you that interesting or intriguing to you that you see this open claw movement. you see this open claw movement. you see this open claw movement. Everybody trying to buy the most Everybody trying to buy the most Everybody trying to buy the most powerful desktop they can and all these powerful desktop they can and all these powerful desktop they can and all these hobbyists who were your customers who hobbyists who were your customers who hobbyists who were your customers who were calling you up and ordering from, were calling you up and ordering from, were calling you up and ordering from, you know, Dell, their their bespoke PC. you know, Dell, their their bespoke PC. you know, Dell, their their bespoke PC. Now they're Now they're Now they're >> Dell.com. >> Dell.com. >> Dell.com. >> What did I say? Dell.com. Yeah, >> What did I say? Dell.com. Yeah, >> What did I say? Dell.com. Yeah, >> you said ordering from Dell. Calling us >> you said ordering from Dell. Calling us >> you said ordering from Dell. Calling us up. They they they order online usually. up. They they they order online usually. up. They they they order online usually. >> They order online now. Yes. >> They order online now. Yes. >> They order online now. Yes. >> We have this thing called the internet. >> We have this thing called the internet. >> We have this thing called the internet. >> They do. It works out pretty well. Um >> They do. It works out pretty well. Um >> They do. It works out pretty well. Um but this is incredible that they're like but this is incredible that they're like but this is incredible that they're like all stacking computers and and running, all stacking computers and and running, all stacking computers and and running, you know, uh local models. I was just you know, uh local models. I was just you know, uh local models. I was just thinking back to how much the first thinking back to how much the first thinking back to how much the first couple of computers I owned cost $4,000 couple of computers I owned cost $4,000 couple of computers I owned cost $4,000 in 1980. in 1980. in 1980. And then the prices came down. You can And then the prices came down. You can And then the prices came down. You can buy a Dell for 500 bucks, 800 bucks, buy a Dell for 500 bucks, 800 bucks, buy a Dell for 500 bucks, 800 bucks, like really nice laptops for that price. like really nice laptops for that price. like really nice laptops for that price. Um, use the promo code allin. Um, it's Um, use the promo code allin. Um, it's Um, use the promo code allin. Um, it's not a sponsor. It's a joke. Um, but do not a sponsor. It's a joke. Um, but do not a sponsor. It's a joke. Um, but do you think there's a world where we're you think there's a world where we're you think there's a world where we're going to start to see the desktop going to start to see the desktop going to start to see the desktop because people want to protect that because people want to protect that because people want to protect that data, they want to protect the skills data, they want to protect the skills data, they want to protect the skills they're building. They don't want to they're building. They don't want to they're building. They don't want to give it to Sam Alman, put it in a cloud give it to Sam Alman, put it in a cloud give it to Sam Alman, put it in a cloud somewhere. They don't want to give it to somewhere. They don't want to give it to somewhere. They don't want to give it to Google, whoever it happens to be. Um, Google, whoever it happens to be. Um, Google, whoever it happens to be. Um, and that the desktop revolution comes and that the desktop revolution comes and that the desktop revolution comes back and everybody's got a $10,000 back and everybody's got a $10,000 back and everybody's got a $10,000 desktop. Is that coming? desktop. Is that coming? desktop. Is that coming? >> I don't know if everyone will have >> I don't know if everyone will have >> I don't know if everyone will have $10,000 desktop, but that would be $10,000 desktop, but that would be $10,000 desktop, but that would be great. I mean, you know, uh great. I mean, you know, uh great. I mean, you know, uh um you know, so we have this um you know, so we have this um you know, so we have this Dell uh portal on hugging face and we Dell uh portal on hugging face and we Dell uh portal on hugging face and we have all these open models and we have all these open models and we have all these open models and we qualified them on every kind of machine qualified them on every kind of machine qualified them on every kind of machine we have and you know there's been we have and you know there's been we have and you know there's been enormous progress in the open source enormous progress in the open source enormous progress in the open source models. You know, Google has these Gemma models. You know, Google has these Gemma models. You know, Google has these Gemma models, GMMA, and they work really, models, GMMA, and they work really, models, GMMA, and they work really, really well on small machines. You know, really well on small machines. You know, really well on small machines. You know, OpenAI has their open- source models. OpenAI has their open- source models. OpenAI has their open- source models. You got the Nvidia Neotron models. You got the Nvidia Neotron models. You got the Nvidia Neotron models. You've got, you know, enormous You've got, you know, enormous You've got, you know, enormous uh ecosystem of open- source that is, uh ecosystem of open- source that is, uh ecosystem of open- source that is, you know, thriving and certainly open you know, thriving and certainly open you know, thriving and certainly open claw and, you know, there'll be some claw and, you know, there'll be some claw and, you know, there'll be some good discussion about that. good discussion about that. good discussion about that. >> How many people have set up OpenClaw? >> How many people have set up OpenClaw? >> How many people have set up OpenClaw? Raise your hand. Oh my lord. That's Raise your hand. Oh my lord. That's Raise your hand. Oh my lord. That's about what a 20% of the audience here. about what a 20% of the audience here. about what a 20% of the audience here. >> Yeah. So, you know, autonomous agents, >> Yeah. So, you know, autonomous agents, >> Yeah. So, you know, autonomous agents, um, big deal. And certainly inside um, big deal. And certainly inside um, big deal. And certainly inside companies, companies, companies, there's going to be a lot more there's going to be a lot more there's going to be a lot more autonomous agents. There are significant autonomous agents. There are significant autonomous agents. There are significant security requirements that need to go security requirements that need to go security requirements that need to go with that. We need to we need to be able with that. We need to we need to be able with that. We need to we need to be able to authenticate and validate who these to authenticate and validate who these to authenticate and validate who these agents are and what they're doing and, agents are and what they're doing and, agents are and what they're doing and, you know, have the right controls and you know, have the right controls and you know, have the right controls and and and that sort of thing. and and that sort of thing. and and that sort of thing. >> Yeah. and uh your take on uh AGI and >> Yeah. and uh your take on uh AGI and >> Yeah. and uh your take on uh AGI and when we're going to hit it like do you when we're going to hit it like do you when we're going to hit it like do you actually think about super intelligence actually think about super intelligence actually think about super intelligence and AGI and the the the two sets of and AGI and the the the two sets of and AGI and the the the two sets of problems that could solve there and do problems that could solve there and do problems that could solve there and do you have a personal definition that you you have a personal definition that you you have a personal definition that you like to use for those when you're like to use for those when you're like to use for those when you're talking internally with your team of how talking internally with your team of how talking internally with your team of how things are moving? things are moving? things are moving? >> I I I don't really know Jason. Um, you >> I I I don't really know Jason. Um, you >> I I I don't really know Jason. Um, you know, I I think if it feels like with know, I I think if it feels like with know, I I think if it feels like with the latest releases, we were talking the latest releases, we were talking the latest releases, we were talking about this backstage, uh, you know, the about this backstage, uh, you know, the about this backstage, uh, you know, the Gemini 3.1, Gemini 3.1, Gemini 3.1, the Opus 4.6, the OpenAI 5.4, it feels the Opus 4.6, the OpenAI 5.4, it feels the Opus 4.6, the OpenAI 5.4, it feels like we sort of u hit some kind of like we sort of u hit some kind of like we sort of u hit some kind of threshold where the just the quality of threshold where the just the quality of threshold where the just the quality of the the models are are just tremendous. the the models are are just tremendous. the the models are are just tremendous. and and and and you know when I listen and and and and you know when I listen and and and and you know when I listen to what our teams are able to accomplish to what our teams are able to accomplish to what our teams are able to accomplish in a day or two weeks that would have in a day or two weeks that would have in a day or two weeks that would have taken them you know a few months or nine taken them you know a few months or nine taken them you know a few months or nine months time you know it's it's just months time you know it's it's just months time you know it's it's just amazing the speed of of innovation. amazing the speed of of innovation. amazing the speed of of innovation. >> Yeah. And so >> Yeah. And so >> Yeah. And so it it seems to be continuing and we get it it seems to be continuing and we get it it seems to be continuing and we get all the reinforcement learning and all the reinforcement learning and all the reinforcement learning and there's also tons of private dark data there's also tons of private dark data there's also tons of private dark data that these models haven't been applied that these models haven't been applied that these models haven't been applied to and that's sort of what's happening to and that's sort of what's happening to and that's sort of what's happening with these with these with these >> I think the auto research is the that's >> I think the auto research is the that's >> I think the auto research is the that's the the key with auto research the the the key with auto research the the the key with auto research the capacity to take a standard model and capacity to take a standard model and capacity to take a standard model and then retrain it on your private data and then retrain it on your private data and then retrain it on your private data and keep it private and build an advantage keep it private and build an advantage keep it private and build an advantage for your organization based on the for your organization based on the for your organization based on the history of your data that no one else history of your data that no one else history of your data that no one else has. That seems to be what a lot of has. That seems to be what a lot of has. That seems to be what a lot of folks are thinking about that have the folks are thinking about that have the folks are thinking about that have the capacity. But if you were to start a capacity. But if you were to start a capacity. But if you were to start a company today that was not in computing company today that was not in computing company today that was not in computing and you were to build a business from and you were to build a business from and you were to build a business from the ground up, how would you architect the ground up, how would you architect the ground up, how would you architect your people and your organizational your people and your organizational your people and your organizational principles as an AI kind of first principles as an AI kind of first principles as an AI kind of first knowing what you know about computing knowing what you know about computing knowing what you know about computing and where things are headed? Are you and where things are headed? Are you and where things are headed? Are you hiring people? Are you hiring a bunch of hiring people? Are you hiring a bunch of hiring people? Are you hiring a bunch of people to run a bunch of agents? How do people to run a bunch of agents? How do people to run a bunch of agents? How do you think about architecting a new you think about architecting a new you think about architecting a new business today? business today? business today? >> It's a great question. I don't really >> It's a great question. I don't really >> It's a great question. I don't really spend a lot of time thinking about that. spend a lot of time thinking about that. spend a lot of time thinking about that. You know, I'm thinking about how do how You know, I'm thinking about how do how You know, I'm thinking about how do how do I run do I run do I run >> what the rest of us are thinking about. >> what the rest of us are thinking about. >> what the rest of us are thinking about. >> How do I how do I run our company? I >> How do I how do I run our company? I >> How do I how do I run our company? I mean, that's hard enough. So, mean, that's hard enough. So, mean, that's hard enough. So, >> yeah, everyone I talk to, that's the >> yeah, everyone I talk to, that's the >> yeah, everyone I talk to, that's the question. They're like, everyone goes to question. They're like, everyone goes to question. They're like, everyone goes to these off sites and they're like, I'm these off sites and they're like, I'm these off sites and they're like, I'm actually doing this with my management actually doing this with my management actually doing this with my management team on Monday. We're doing like a tear team on Monday. We're doing like a tear team on Monday. We're doing like a tear down be like, "Hey, how would we build down be like, "Hey, how would we build down be like, "Hey, how would we build the business differently today?" Knowing the business differently today?" Knowing the business differently today?" Knowing >> I mean what we've been thinking a lot >> I mean what we've been thinking a lot >> I mean what we've been thinking a lot about is about is about is it's sort of this this reimagining it's sort of this this reimagining it's sort of this this reimagining question. Yeah. question. Yeah. question. Yeah. >> You know, sort of all right, we know the >> You know, sort of all right, we know the >> You know, sort of all right, we know the trajectory of the tools. What are the trajectory of the tools. What are the trajectory of the tools. What are the tools going to be in 27 28 29 and how do tools going to be in 27 28 29 and how do tools going to be in 27 28 29 and how do we we we accelerate you know our path to that? accelerate you know our path to that? accelerate you know our path to that? How worried are you about How worried are you about How worried are you about social issues? So AI recently ranked as social issues? So AI recently ranked as social issues? So AI recently ranked as the most unfavorable term of a list of the most unfavorable term of a list of the most unfavorable term of a list of terms including president. terms including president. terms including president. >> It was somewhere between ISIS, the >> It was somewhere between ISIS, the >> It was somewhere between ISIS, the Democrats, ICE, ISIS, and the Democrats. Democrats, ICE, ISIS, and the Democrats. Democrats, ICE, ISIS, and the Democrats. >> ICE was better than AI. >> ICE was better than AI. >> ICE was better than AI. >> People liked ICE mass agents >> People liked ICE mass agents >> People liked ICE mass agents >> more than they like AI. >> more than they like AI. >> more than they like AI. >> Yeah. Well, I think I think part of the >> Yeah. Well, I think I think part of the >> Yeah. Well, I think I think part of the problem is it's been it's been uh you problem is it's been it's been uh you problem is it's been it's been uh you know maybe sold as know maybe sold as know maybe sold as >> as you know it it it sort of presents >> as you know it it it sort of presents >> as you know it it it sort of presents itself like a human would. itself like a human would. itself like a human would. >> Yeah. >> Yeah. >> Yeah. >> Right. And you know maybe if we called >> Right. And you know maybe if we called >> Right. And you know maybe if we called it linear algebra it linear algebra it linear algebra >> matrix multiplication >> matrix multiplication >> matrix multiplication >> and statistics instead >> and statistics instead >> and statistics instead >> matrix multiplier maybe that would be >> matrix multiplier maybe that would be >> matrix multiplier maybe that would be more friendly. I don't know you know. more friendly. I don't know you know. more friendly. I don't know you know. >> Yeah. >> Yeah. >> Yeah. >> But do you think do you think we're >> But do you think do you think we're >> But do you think do you think we're going to have No, I think you're right. going to have No, I think you're right. going to have No, I think you're right. the positioning is wrong and then we're the positioning is wrong and then we're the positioning is wrong and then we're not communicating to people, hey, this not communicating to people, hey, this not communicating to people, hey, this could help healthare, this could make could help healthare, this could make could help healthare, this could make you live longer, this could help your you live longer, this could help your you live longer, this could help your kids get educated more, that this could kids get educated more, that this could kids get educated more, that this could help with housing costs, this could help help with housing costs, this could help help with housing costs, this could help with food cost. Messaging aside, I mean, with food cost. Messaging aside, I mean, with food cost. Messaging aside, I mean, how much do you actually worry how much do you actually worry how much do you actually worry >> about disruption or dislocation in >> about disruption or dislocation in >> about disruption or dislocation in employment, about acceleration of employment, about acceleration of employment, about acceleration of earnings for some people and earnings for some people and earnings for some people and deceleration for other people in society deceleration for other people in society deceleration for other people in society that feel left behind? And that starts that feel left behind? And that starts that feel left behind? And that starts to fuel more of the kind of social to fuel more of the kind of social to fuel more of the kind of social concerns and politicians saying, "Hey, concerns and politicians saying, "Hey, concerns and politicians saying, "Hey, we got to stop building all the data we got to stop building all the data we got to stop building all the data centers, you know, like that kind of centers, you know, like that kind of centers, you know, like that kind of stuff." And and how much are you really stuff." And and how much are you really stuff." And and how much are you really >> I I tend to be, you know, more >> I I tend to be, you know, more >> I I tend to be, you know, more optimistic and and um you know, I I do I optimistic and and um you know, I I do I optimistic and and um you know, I I do I do think that in all technology cycles, do think that in all technology cycles, do think that in all technology cycles, you get sort of these network effects you get sort of these network effects you get sort of these network effects and and and uh that's kind of inevitable. But I also uh that's kind of inevitable. But I also uh that's kind of inevitable. But I also think, you know, uh we're going to do think, you know, uh we're going to do think, you know, uh we're going to do more with the tools. You you do have more with the tools. You you do have more with the tools. You you do have this acceleration of all sorts of uh this acceleration of all sorts of uh this acceleration of all sorts of uh great things. I mean, education can great things. I mean, education can great things. I mean, education can dramatically improve, scientific dramatically improve, scientific dramatically improve, scientific discovery, healthcare, energy, you know, discovery, healthcare, energy, you know, discovery, healthcare, energy, you know, all sort of the the unsolved problems all sort of the the unsolved problems all sort of the the unsolved problems can can be accelerated. Ultimately, I can can be accelerated. Ultimately, I can can be accelerated. Ultimately, I think it's it's amplification of of think it's it's amplification of of think it's it's amplification of of human potential and capability human potential and capability human potential and capability >> and >> and >> and >> extending the frontier, too. And and and >> extending the frontier, too. And and and >> extending the frontier, too. And and and and by the way, we should also remember and by the way, we should also remember and by the way, we should also remember that basically what we're talking about that basically what we're talking about that basically what we're talking about here beyond sort of some of the advanced here beyond sort of some of the advanced here beyond sort of some of the advanced semiconductors in the you know big data semiconductors in the you know big data semiconductors in the you know big data centers, we're talking about software, centers, we're talking about software, centers, we're talking about software, right? right? right? >> Yeah. >> Yeah. >> Yeah. >> Right. It's like software that runs on >> Right. It's like software that runs on >> Right. It's like software that runs on your computer. your computer. your computer. So you know if somebody says well we So you know if somebody says well we So you know if somebody says well we don't we don't want that. It's like how don't we don't want that. It's like how don't we don't want that. It's like how do you stop software I mean do you stop software I mean do you stop software I mean >> yeah how are you going to how you going >> yeah how are you going to how you going >> yeah how are you going to how you going to stop someone putting an open source to stop someone putting an open source to stop someone putting an open source model on their computer at home and model on their computer at home and model on their computer at home and asking it for medical advice? You know, asking it for medical advice? You know, asking it for medical advice? You know, New York just passed a law saying AI New York just passed a law saying AI New York just passed a law saying AI models can no longer give models can no longer give models can no longer give >> medical advice. Passed, right? It's >> medical advice. Passed, right? It's >> medical advice. Passed, right? It's being proposed. being proposed. being proposed. >> Oh, proposed. It's being proposed. You >> Oh, proposed. It's being proposed. You >> Oh, proposed. It's being proposed. You can't give legal and health advice. can't give legal and health advice. can't give legal and health advice. >> We're anti-s software. It's like, >> We're anti-s software. It's like, >> We're anti-s software. It's like, >> yeah. Well, we're also anti books and >> yeah. Well, we're also anti books and >> yeah. Well, we're also anti books and advice. So, if you were going to look it advice. So, if you were going to look it advice. So, if you were going to look it up in a book, but were you dropping into up in a book, but were you dropping into up in a book, but were you dropping into your Bernie Sanders right there? your Bernie Sanders right there? your Bernie Sanders right there? >> That was my Bernie Sanders. >> That was my Bernie Sanders. >> That was my Bernie Sanders. >> Michael D. 1% of the 1% that you're >> Michael D. 1% of the 1% that you're >> Michael D. 1% of the 1% that you're enabling with your data centers. enabling with your data centers. enabling with your data centers. Why are you doing this to the people of Why are you doing this to the people of Why are you doing this to the people of our great nation while you give your our great nation while you give your our great nation while you give your money to children in the Invest America money to children in the Invest America money to children in the Invest America accounts? accounts? accounts? >> Yeah, >> Yeah, >> Yeah, >> this is a good one you're doing. >> this is a good one you're doing. >> this is a good one you're doing. >> Yeah. Can we talk about Invest America? >> Yeah. Can we talk about Invest America? >> Yeah. Can we talk about Invest America? >> I think he might have even criticized >> I think he might have even criticized >> I think he might have even criticized that, but but you know, that, but but you know, that, but but you know, >> well, that's the problem. The >> well, that's the problem. The >> well, that's the problem. The billionaires are giving our children billionaires are giving our children billionaires are giving our children money and they're not asking us money and they're not asking us money and they're not asking us permission and then those kids are going permission and then those kids are going permission and then those kids are going to buy things that their parents never to buy things that their parents never to buy things that their parents never asked for. asked for. asked for. >> Well, they they don't they don't >> Well, they they don't they don't >> Well, they they don't they don't actually get the money till they're 18 actually get the money till they're 18 actually get the money till they're 18 years old. So that's that's years old. So that's that's years old. So that's that's >> But what gives you the right to give our >> But what gives you the right to give our >> But what gives you the right to give our children an education? What is this children an education? What is this children an education? What is this philanthropy? It makes no sense. No, I philanthropy? It makes no sense. No, I philanthropy? It makes no sense. No, I mean honestly. mean honestly. mean honestly. >> Well, I see I see my great friend Brad >> Well, I see I see my great friend Brad >> Well, I see I see my great friend Brad Gersonner here. Gersonner here. Gersonner here. >> Brad's here. >> Brad's here. >> Brad's here. >> There he is. >> There he is. >> There he is. >> Brad, come up for this little uh segment >> Brad, come up for this little uh segment >> Brad, come up for this little uh segment here. Sit sit for a second. Let's talk here. Sit sit for a second. Let's talk here. Sit sit for a second. Let's talk about America. We got 5 minutes left about America. We got 5 minutes left about America. We got 5 minutes left here. here. here. >> So, you know, I heard >> So, you know, I heard >> So, you know, I heard >> everybody the fifth bestie. Give him a >> everybody the fifth bestie. Give him a >> everybody the fifth bestie. Give him a round. round. round. >> I didn't know he's going to be here. >> All right. I >> All right. I >> how did this go down, Michael? >> how did this go down, Michael? >> how did this go down, Michael? >> I I heard about this idea in 2021 from >> I I heard about this idea in 2021 from >> I I heard about this idea in 2021 from Brad Brad Brad >> and I thought, you know, that's a that's >> and I thought, you know, that's a that's >> and I thought, you know, that's a that's just a great idea. That's an awesome just a great idea. That's an awesome just a great idea. That's an awesome idea. And, you know, I think there were idea. And, you know, I think there were idea. And, you know, I think there were some discussions with the prior some discussions with the prior some discussions with the prior administration, administration, administration, but they didn't uh do do anything about but they didn't uh do do anything about but they didn't uh do do anything about that, unfortunately. that, unfortunately. that, unfortunately. And um you know, here we are, you know, And um you know, here we are, you know, And um you know, here we are, you know, a miracle. you know, uh the the the a miracle. you know, uh the the the a miracle. you know, uh the the the Invest America Act was was passed and um Invest America Act was was passed and um Invest America Act was was passed and um you know, now we have thousands of you know, now we have thousands of you know, now we have thousands of companies that are joining in and companies that are joining in and companies that are joining in and matching the government's contribution matching the government's contribution matching the government's contribution and u you know, Susan and I made a big and u you know, Susan and I made a big and u you know, Susan and I made a big announcement uh giving $250 to 25 announcement uh giving $250 to 25 announcement uh giving $250 to 25 million children in uh zip codes where million children in uh zip codes where million children in uh zip codes where the median income is the median income is the median income is >> I mean, Michael, let's just let's pause >> I mean, Michael, let's just let's pause >> I mean, Michael, let's just let's pause for a second This is one of the greatest This is one of the greatest >> What do you think, Bernie? Do you >> What do you think, Bernie? Do you >> What do you think, Bernie? Do you approve? approve? approve? >> I'm going to go with Jake All this. I >> I'm going to go with Jake All this. I >> I'm going to go with Jake All this. I just want to pause on this because it is just want to pause on this because it is just want to pause on this because it is one of the greatest philanthropic gifts one of the greatest philanthropic gifts one of the greatest philanthropic gifts in the history of humanity. And I I in the history of humanity. And I I in the history of humanity. And I I people have just kind of glossed over to people have just kind of glossed over to people have just kind of glossed over to it because there's a lot of big numbers it because there's a lot of big numbers it because there's a lot of big numbers in the world, but we're talking about in the world, but we're talking about in the world, but we're talking about you. You personally, you and Susan sat you. You personally, you and Susan sat you. You personally, you and Susan sat down and said, "We're going to give a down and said, "We're going to give a down and said, "We're going to give a number." And that number was five, six, number." And that number was five, six, number." And that number was five, six, seven billion dollars or this is seven billion dollars or this is seven billion dollars or this is >> well it's it's $250 >> well it's it's $250 >> well it's it's $250 to 25 million children ages 2 to 10 in to 25 million children ages 2 to 10 in to 25 million children ages 2 to 10 in zip codes where the median income is zip codes where the median income is zip codes where the median income is $150,000 or lession. It's $6.25 billion. $150,000 or lession. It's $6.25 billion. $150,000 or lession. It's $6.25 billion. >> I mean >> I mean >> I mean and I just want to say something. You and I just want to say something. You and I just want to say something. You know, we live at a time where know, we live at a time where know, we live at a time where >> but they have to sign up to claim the >> but they have to sign up to claim the >> but they have to sign up to claim the accounts. Yes, accounts. Yes, accounts. Yes, >> they they have accounts, but they have >> they they have accounts, but they have >> they they have accounts, but they have to sign up to claim the accounts. You to sign up to claim the accounts. You to sign up to claim the accounts. You know, I think we're getting 100,000 plus know, I think we're getting 100,000 plus know, I think we're getting 100,000 plus kids now a day signing up. kids now a day signing up. kids now a day signing up. >> Yeah. >> Yeah. >> Yeah. >> First, thanks for having me up. I mean, >> First, thanks for having me up. I mean, >> First, thanks for having me up. I mean, what what a national hero and national what what a national hero and national what what a national hero and national asset that my friend Michael Dell is, asset that my friend Michael Dell is, asset that my friend Michael Dell is, but he understates this but he understates this but he understates this >> because I've been working on this for >> because I've been working on this for >> because I've been working on this for four years. We've been talking about it four years. We've been talking about it four years. We've been talking about it on the All-In Pod. We had a lot of on the All-In Pod. We had a lot of on the All-In Pod. We had a lot of momentum, but behind the scenes, Trump momentum, but behind the scenes, Trump momentum, but behind the scenes, Trump gets elected. Um, and so it's April that gets elected. Um, and so it's April that gets elected. Um, and so it's April that we're in the middle of the tariff we're in the middle of the tariff we're in the middle of the tariff strife. April 25, we realize there's strife. April 25, we realize there's strife. April 25, we realize there's only going to be one piece of only going to be one piece of only going to be one piece of legislation that gets passed during legislation that gets passed during legislation that gets passed during Trump's first two years. It'll be the, Trump's first two years. It'll be the, Trump's first two years. It'll be the, you know, this big beautiful bill, the you know, this big beautiful bill, the you know, this big beautiful bill, the reconciliation bill. And so I I call up reconciliation bill. And so I I call up reconciliation bill. And so I I call up Michael and I said, "Michael, we got to Michael and I said, "Michael, we got to Michael and I said, "Michael, we got to go. We've got five days. We have the it go. We've got five days. We have the it go. We've got five days. We have the it it's drafted in the Senate. We have it's drafted in the Senate. We have it's drafted in the Senate. We have bipartisan support, but we have a window bipartisan support, but we have a window bipartisan support, but we have a window and like we ha I have to get in the Oval and like we ha I have to get in the Oval and like we ha I have to get in the Oval Office. We have to get in the Oval Office. We have to get in the Oval Office. We have to get in the Oval Office. And you know, Michael said, you Office. And you know, Michael said, you Office. And you know, Michael said, you know, what what should the text say? And know, what what should the text say? And know, what what should the text say? And you and I had a conversation and you you you and I had a conversation and you you you and I had a conversation and you you know uh you know the text to DJT. know uh you know the text to DJT. know uh you know the text to DJT. >> Yes. I I'm not talking out of school. >> Yes. I I'm not talking out of school. >> Yes. I I'm not talking out of school. Listen, Biden, where wherever you sit on Listen, Biden, where wherever you sit on Listen, Biden, where wherever you sit on the political divide, I will say I've the political divide, I will say I've the political divide, I will say I've said this, Trump seeks out ideas from said this, Trump seeks out ideas from said this, Trump seeks out ideas from business leaders and he has deep respect business leaders and he has deep respect business leaders and he has deep respect for business leaders like Michael Dell. for business leaders like Michael Dell. for business leaders like Michael Dell. Like you wherever your politics are, Like you wherever your politics are, Like you wherever your politics are, that's just the truth. And the last that's just the truth. And the last that's just the truth. And the last administration didn't and you know, if administration didn't and you know, if administration didn't and you know, if it may have done the same thing it may have done the same thing it may have done the same thing >> and and this and I just have to say >> and and this and I just have to say >> and and this and I just have to say this, Invest America, it's not a red this, Invest America, it's not a red this, Invest America, it's not a red idea or a blue idea. It's a red, white, idea or a blue idea. It's a red, white, idea or a blue idea. It's a red, white, and blue idea, right? It's it's and blue idea, right? It's it's and blue idea, right? It's it's >> so into the prior conversation when >> so into the prior conversation when >> so into the prior conversation when Michael and I first talked about it um Michael and I first talked about it um Michael and I first talked about it um you know it was this is the right thing you know it was this is the right thing you know it was this is the right thing to do right like we have to reconnect to do right like we have to reconnect to do right like we have to reconnect the 70% of people who feel left out and the 70% of people who feel left out and the 70% of people who feel left out and left behind to the American dream right left behind to the American dream right left behind to the American dream right but this isn't our self-interest this is but this isn't our self-interest this is but this isn't our self-interest this is about defending about defending about defending the ownership society and capitalism the ownership society and capitalism the ownership society and capitalism that for 250 years created the greatest that for 250 years created the greatest that for 250 years created the greatest experiment in the history of the world experiment in the history of the world experiment in the history of the world but that's at at risk but that's at at risk but that's at at risk less than half of people under the age less than half of people under the age less than half of people under the age of 40 have a favorable view of of 40 have a favorable view of of 40 have a favorable view of capitalism. So when I talked to you capitalism. So when I talked to you capitalism. So when I talked to you about it the first time, Michael about it the first time, Michael about it the first time, Michael understood both sides of it. It's the understood both sides of it. It's the understood both sides of it. It's the right thing to do and it's the right right thing to do and it's the right right thing to do and it's the right thing for the country. And uh so at any thing for the country. And uh so at any thing for the country. And uh so at any rate, Michael Dell, tremendous American rate, Michael Dell, tremendous American rate, Michael Dell, tremendous American I have one just one one punch up the I have one just one one punch up the I have one just one one punch up the name invest America Trump accounts. What name invest America Trump accounts. What name invest America Trump accounts. What do you think? do you think? do you think? >> Were were you considering this in the >> Were were you considering this in the >> Were were you considering this in the context of other philanthropy? I mean, context of other philanthropy? I mean, context of other philanthropy? I mean, how do you how do you kind of put this how do you how do you kind of put this how do you how do you kind of put this together in the spectrum of how you together in the spectrum of how you together in the spectrum of how you think about giving back? think about giving back? think about giving back? >> Yeah, great question. So, so you know, >> Yeah, great question. So, so you know, >> Yeah, great question. So, so you know, we have a foundation that's very focused we have a foundation that's very focused we have a foundation that's very focused on children in urban poverty. That's on children in urban poverty. That's on children in urban poverty. That's basically the central focus of the basically the central focus of the basically the central focus of the foundation, although folks in uh central foundation, although folks in uh central foundation, although folks in uh central Texas would know that we do a few other Texas would know that we do a few other Texas would know that we do a few other things here in our local community. Um, things here in our local community. Um, things here in our local community. Um, and and and you know, when I heard about this idea, you know, when I heard about this idea, you know, when I heard about this idea, one of my thoughts was, "Wow, this is one of my thoughts was, "Wow, this is one of my thoughts was, "Wow, this is like a platform for directly giving to like a platform for directly giving to like a platform for directly giving to the people that we're targeting, right?" the people that we're targeting, right?" the people that we're targeting, right?" And, you know, we actually thought about And, you know, we actually thought about And, you know, we actually thought about doing it just in Texas first. And, um, doing it just in Texas first. And, um, doing it just in Texas first. And, um, you know, things have gone pretty well you know, things have gone pretty well you know, things have gone pretty well with the company and all that. So, you with the company and all that. So, you with the company and all that. So, you know, know, know, we thought we just go bigger. And and we thought we just go bigger. And and we thought we just go bigger. And and what happens, Brad, if what happens, Brad, if what happens, Brad, if you know 10 more Michael Dells show up you know 10 more Michael Dells show up you know 10 more Michael Dells show up and and there are dozens of and and there are dozens of and and there are dozens of >> That's not a lot of Michael Dells, let's >> That's not a lot of Michael Dells, let's >> That's not a lot of Michael Dells, let's be honest. But be honest. But be honest. But >> there there's a number of folks who >> there there's a number of folks who >> there there's a number of folks who could make an equal size or even greater could make an equal size or even greater could make an equal size or even greater gift. Um there are people who, you know, gift. Um there are people who, you know, gift. Um there are people who, you know, many hands makes for light work. There many hands makes for light work. There many hands makes for light work. There are a thousand people who can make a are a thousand people who can make a are a thousand people who can make a gift of significance. What if this gift of significance. What if this gift of significance. What if this actually becomes a movement and we actually becomes a movement and we actually becomes a movement and we >> I think I think it actually is becoming >> I think I think it actually is becoming >> I think I think it actually is becoming a movement instead of a moment and and a movement instead of a moment and and a movement instead of a moment and and and we've you know we've got a lot of and we've you know we've got a lot of and we've you know we've got a lot of that queued up. Brad, why don't you that queued up. Brad, why don't you that queued up. Brad, why don't you >> Wait, have you called anybody? Michael, >> Wait, have you called anybody? Michael, >> Wait, have you called anybody? Michael, have you did you call? have you did you call? have you did you call? >> Michael and I chair the Invest America >> Michael and I chair the Invest America >> Michael and I chair the Invest America Giving Committee and we're ambitious Giving Committee and we're ambitious Giving Committee and we're ambitious guys. guys. guys. >> You're knocking on doors. >> You're knocking on doors. >> You're knocking on doors. >> We we've had a few conversations. >> We we've had a few conversations. >> We we've had a few conversations. >> You're texting people. >> You're texting people. >> You're texting people. >> Yeah. >> Yeah. >> Yeah. >> And so so so just there was a question >> And so so so just there was a question >> And so so so just there was a question earlier. First, it's really important to earlier. First, it's really important to earlier. First, it's really important to understand and for you guys to spread understand and for you guys to spread understand and for you guys to spread the word. Every child under the age of the word. Every child under the age of the word. Every child under the age of 18, every child under the age of 18 is 18, every child under the age of 18 is 18, every child under the age of 18 is eligible to claim their account. Number eligible to claim their account. Number eligible to claim their account. Number one. Number two, you've heard this like, one. Number two, you've heard this like, one. Number two, you've heard this like, oh, kids born between 25 and 28. No, oh, kids born between 25 and 28. No, oh, kids born between 25 and 28. No, this is forever more. The legislation this is forever more. The legislation this is forever more. The legislation creates this account forever more. Every creates this account forever more. Every creates this account forever more. Every child born in America starting January child born in America starting January child born in America starting January 1st, 2027 will automatically get an will 1st, 2027 will automatically get an will 1st, 2027 will automatically get an will get a trump account right at birth get a trump account right at birth get a trump account right at birth stapled to their social security card. stapled to their social security card. stapled to their social security card. The $1,000 has to be reauthorized every The $1,000 has to be reauthorized every The $1,000 has to be reauthorized every four years. Okay? But the accounts four years. Okay? But the accounts four years. Okay? But the accounts don't. So every kid, this is social don't. So every kid, this is social don't. So every kid, this is social security 2.0. This is the biggest change security 2.0. This is the biggest change security 2.0. This is the biggest change to the social contract in America in in to the social contract in America in in to the social contract in America in in 50 years. 3.7 million kids a year will 50 years. 3.7 million kids a year will 50 years. 3.7 million kids a year will get an account that can compound. a 401k get an account that can compound. a 401k get an account that can compound. a 401k from birth. And yes, we're going to have from birth. And yes, we're going to have from birth. And yes, we're going to have a lot of announcements, but it's not a lot of announcements, but it's not a lot of announcements, but it's not just billionaires. It's going to be just billionaires. It's going to be just billionaires. It's going to be companies that are donating stock on companies that are donating stock on companies that are donating stock on their IPOs into these accounts. It's their IPOs into these accounts. It's their IPOs into these accounts. It's going to be wealthy people. It's going going to be wealthy people. It's going going to be wealthy people. It's going to be states. It's going to be moms and to be states. It's going to be moms and to be states. It's going to be moms and dads. It's going to be corporations. And dads. It's going to be corporations. And dads. It's going to be corporations. And the estimate is over 15 years, we can the estimate is over 15 years, we can the estimate is over 15 years, we can move $5 trillion move $5 trillion move $5 trillion into the pockets of families that would into the pockets of families that would into the pockets of families that would have otherwise had zero. $5 trillion, have otherwise had zero. $5 trillion, have otherwise had zero. $5 trillion, right? And so to me, the leadership that right? And so to me, the leadership that right? And so to me, the leadership that Michael showed not only in helping me Michael showed not only in helping me Michael showed not only in helping me get the meeting that ultimately got this get the meeting that ultimately got this get the meeting that ultimately got this passed into law. And it does take people passed into law. And it does take people passed into law. And it does take people like those moments either happen or they like those moments either happen or they like those moments either happen or they don't happen. And if they don't happen, don't happen. And if they don't happen, don't happen. And if they don't happen, there's no law. And this doesn't change there's no law. And this doesn't change there's no law. And this doesn't change kids lives. kids lives. kids lives. >> By the way, two things on this. >> By the way, two things on this. >> By the way, two things on this. >> If this $5 trillion moved through >> If this $5 trillion moved through >> If this $5 trillion moved through government programs, it would get government programs, it would get government programs, it would get incinerated. incinerated. incinerated. >> Exactly. >> Exactly. >> Exactly. >> That's what we see happen. there's just >> That's what we see happen. there's just >> That's what we see happen. there's just a million crony structures that take it a million crony structures that take it a million crony structures that take it away and destroy it. So to give it away and destroy it. So to give it away and destroy it. So to give it directly into the accounts is the directly into the accounts is the directly into the accounts is the circumstance. The second thing is it circumstance. The second thing is it circumstance. The second thing is it makes a lot of sense that you guys can I makes a lot of sense that you guys can I makes a lot of sense that you guys can I I'll I'll be the lead but can we replace I'll I'll be the lead but can we replace I'll I'll be the lead but can we replace social security in this country with a social security in this country with a social security in this country with a defined benefit or defined contribution defined benefit or defined contribution defined benefit or defined contribution like this and eventually everyone has a like this and eventually everyone has a like this and eventually everyone has a Trump account or whatever you call it Trump account or whatever you call it Trump account or whatever you call it and we don't have to have this fake and we don't have to have this fake and we don't have to have this fake Ponzi scheme that we call social do we Ponzi scheme that we call social do we Ponzi scheme that we call social do we can do it. Well, they they they have a can do it. Well, they they they have a can do it. Well, they they they have a defined benefit program, but I'm saying defined benefit program, but I'm saying defined benefit program, but I'm saying like everyone has an account and they like everyone has an account and they like everyone has an account and they all own a piece of their future. And all own a piece of their future. And all own a piece of their future. And every time you get a payroll to tax every time you get a payroll to tax every time you get a payroll to tax deduction, instead of it getting deduction, instead of it getting deduction, instead of it getting inviscerated and destroyed and inviscerated and destroyed and inviscerated and destroyed and vaporized, that money actually goes into vaporized, that money actually goes into vaporized, that money actually goes into an account and you buy a piece of a an account and you buy a piece of a an account and you buy a piece of a company and maybe you can direct it. company and maybe you can direct it. company and maybe you can direct it. >> Freeberg's getting >> Freeberg's getting >> Freeberg's getting >> on July 4th of this year. >> on July 4th of this year. >> on July 4th of this year. >> You're getting me wound up. So for all >> You're getting me wound up. So for all >> You're getting me wound up. So for all the there are 4.5 million kids who've the there are 4.5 million kids who've the there are 4.5 million kids who've claimed their account almost $150,000 a claimed their account almost $150,000 a claimed their account almost $150,000 a day will have on the trajectory we're on day will have on the trajectory we're on day will have on the trajectory we're on 10 million by July 4th our 250th 10 million by July 4th our 250th 10 million by July 4th our 250th anniversary of the country. Every one of anniversary of the country. Every one of anniversary of the country. Every one of those kids accounts the parents and the those kids accounts the parents and the those kids accounts the parents and the kids on July 4th they'll see an app on kids on July 4th they'll see an app on kids on July 4th they'll see an app on their phone that looks a lot like a their phone that looks a lot like a their phone that looks a lot like a Robin Hood app that'll see them owning. Robin Hood app that'll see them owning. Robin Hood app that'll see them owning. It'll say you've received your $1,000 or It'll say you've received your $1,000 or It'll say you've received your $1,000 or your $250. you're and it will show a your $250. you're and it will show a your $250. you're and it will show a little bit of Nvidia, a little bit of little bit of Nvidia, a little bit of little bit of Nvidia, a little bit of Walmart, a little bit of Dell. We Walmart, a little bit of Dell. We Walmart, a little bit of Dell. We decompose the S&P 500 which they own decompose the S&P 500 which they own decompose the S&P 500 which they own into the constituent parts so they can into the constituent parts so they can into the constituent parts so they can get excited about being an owner in the get excited about being an owner in the get excited about being an owner in the upside of America. And when moms and upside of America. And when moms and upside of America. And when moms and dads doubleclick and Apple pay 510 bucks dads doubleclick and Apple pay 510 bucks dads doubleclick and Apple pay 510 bucks into the account, right? When they send into the account, right? When they send into the account, right? When they send their QR codes to their friends on their their QR codes to their friends on their their QR codes to their friends on their birthday and now their friends all add birthday and now their friends all add birthday and now their friends all add to the account or on Christmas or bar to the account or on Christmas or bar to the account or on Christmas or bar mitzvah and they add to the accounts. mitzvah and they add to the accounts. mitzvah and they add to the accounts. When companies add to the accounts, all When companies add to the accounts, all When companies add to the accounts, all of this, they see it growing and it of this, they see it growing and it of this, they see it growing and it unlocks the human potential. It's not unlocks the human potential. It's not unlocks the human potential. It's not just the money. It's that I'm in the just the money. It's that I'm in the just the money. It's that I'm in the game. I have a shot. Which to David's game. I have a shot. Which to David's game. I have a shot. Which to David's point, I think the biggest crime of point, I think the biggest crime of point, I think the biggest crime of social security. And we made very clear, social security. And we made very clear, social security. And we made very clear, social security is a sacred promise. We social security is a sacred promise. We social security is a sacred promise. We we refused and many people tried to get we refused and many people tried to get we refused and many people tried to get us to to to take on the broader us to to to take on the broader us to to to take on the broader struggle. And we didn't do it because we struggle. And we didn't do it because we struggle. And we didn't do it because we knew it it would kill this program. But knew it it would kill this program. But knew it it would kill this program. But but let's be clear about this. Our but let's be clear about this. Our but let's be clear about this. Our government requires all of us to give government requires all of us to give government requires all of us to give 10% of what we earn into social 10% of what we earn into social 10% of what we earn into social security, right? It was the social security, right? It was the social security, right? It was the social contract evolution in the industrial contract evolution in the industrial contract evolution in the industrial revolution that kept kept the country revolution that kept kept the country revolution that kept kept the country together. The only problem is it goes together. The only problem is it goes together. The only problem is it goes into a black hole. Nobody sees it. into a black hole. Nobody sees it. into a black hole. Nobody sees it. Nobody knows what's there. But it is Nobody knows what's there. But it is Nobody knows what's there. But it is your savings. Now imagine if that same your savings. Now imagine if that same your savings. Now imagine if that same money was required to, you know, money was required to, you know, money was required to, you know, government took it away, but it was in government took it away, but it was in government took it away, but it was in an account with your name on it. You an account with your name on it. You an account with your name on it. You could see it grow. you knew exactly what could see it grow. you knew exactly what could see it grow. you knew exactly what was there. You could get excited and was there. You could get excited and was there. You could get excited and say, "Hey, I'm going to add a little bit say, "Hey, I'm going to add a little bit say, "Hey, I'm going to add a little bit more to that, right?" And and and you more to that, right?" And and and you more to that, right?" And and and you had a little bit of choice. That to me had a little bit of choice. That to me had a little bit of choice. That to me is uh is the possibility. And I think we is uh is the possibility. And I think we is uh is the possibility. And I think we will end up there some will end up there some will end up there some >> and and and Brad, thank you for just going to say, you know, Brad Brad just going to say, you know, Brad Brad also adopted his home state of Indiana. also adopted his home state of Indiana. also adopted his home state of Indiana. We have Ray and Barbara Dal Dalio We have Ray and Barbara Dal Dalio We have Ray and Barbara Dal Dalio adopted their home state of Connecticut. adopted their home state of Connecticut. adopted their home state of Connecticut. and many many more to come. and many many more to come. and many many more to come. >> And and and look, it's going to be super >> And and and look, it's going to be super >> And and and look, it's going to be super easy for anybody to add a 100 kids in easy for anybody to add a 100 kids in easy for anybody to add a 100 kids in your neighborhood, adopt a zip code, your neighborhood, adopt a zip code, your neighborhood, adopt a zip code, adopt a school district, adopt a town. adopt a school district, adopt a town. adopt a school district, adopt a town. >> It's going to be amazing. Give it up for >> It's going to be amazing. Give it up for >> It's going to be amazing. Give it up for one of the great entrepreneurs of our one of the great entrepreneurs of our one of the great entrepreneurs of our time and an incredible pledge. time and an incredible pledge. time and an incredible pledge. I'm going all in.