IoT Coffee Talk: Episode 279 - "Insane in the Membrane" (Making Big Differences for Good)
Read full transcript 52 segments
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[Music] [Music] Heat. Heat. that was so freaking bad. Uh, I think that was so freaking bad. Uh, I think that was like the worst that was like the worst that was like the worst attempt at a Van Halen song ever, Rob. attempt at a Van Halen song ever, Rob. attempt at a Van Halen song ever, Rob. >> What do you think? >> What do you think? >> What do you think? >> Yeah, it was. Congratulations. You know, >> Yeah, it was. Congratulations. You know, >> Yeah, it was. Congratulations. You know, >> well, it was kind of broke the record. >> well, it was kind of broke the record. >> well, it was kind of broke the record. >> You went for it. You know, >> You went for it. You know, >> You went for it. You know, >> you went for it. >> you went for it. >> you went for it. >> No fear. No fear. >> No fear. No fear. >> No fear. No fear. >> That's right. You got, you know, at >> That's right. You got, you know, at >> That's right. You got, you know, at least you tried. You're in the arena least you tried. You're in the arena least you tried. You're in the arena with your guitar. with your guitar. with your guitar. >> I am sure it is worse. I'm sure it wors. >> I am sure it is worse. I'm sure it wors. >> I am sure it is worse. I'm sure it wors. And for anyone who couldn't recognize And for anyone who couldn't recognize And for anyone who couldn't recognize what that was, which I think it was most what that was, which I think it was most what that was, which I think it was most of you out there, of you out there, of you out there, >> that was Beautiful Girls.
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>> that was Beautiful Girls. >> that was Beautiful Girls. >> Beautiful girls >> Beautiful girls >> Beautiful girls >> by Van Halen >> by Van Halen >> by Van Halen >> song from a different time. >> song from a different time. >> song from a different time. >> Yeah. You know, had you done it right? I >> Yeah. You know, had you done it right? I >> Yeah. You know, had you done it right? I was I was going to try to do my best was I was going to try to do my best was I was going to try to do my best Diamond Dave and like do the midair Diamond Dave and like do the midair Diamond Dave and like do the midair splits and stuff on stage, you know? splits and stuff on stage, you know? splits and stuff on stage, you know? >> Yeah. Yeah. Yeah. That You know what? He >> Yeah. Yeah. Yeah. That You know what? He >> Yeah. Yeah. Yeah. That You know what? He doesn't even do that now. doesn't even do that now. doesn't even do that now. >> Oh, yeah. Well, you know, age catches up >> Oh, yeah. Well, you know, age catches up >> Oh, yeah. Well, you know, age catches up with all of us. with all of us. with all of us. >> Oh, yeah. Yeah. >> Oh, yeah. Yeah. >> Oh, yeah. Yeah. >> Did any of you guys ever see Van Halen >> Did any of you guys ever see Van Halen >> Did any of you guys ever see Van Halen back in the 80s when they were just back in the 80s when they were just back in the 80s when they were just awesome, you know, awesome, you know, awesome, you know, >> man? >> man? >> man? >> Well, I never went to the concert, but I >> Well, I never went to the concert, but I >> Well, I never went to the concert, but I I mean, I grew up listening to them, but I mean, I grew up listening to them, but I mean, I grew up listening to them, but um I thought they were devil's music. um I thought they were devil's music. um I thought they were devil's music. >> That's what your parents told you. >> That's what your parents told you. >> That's what your parents told you. >> Yeah. >> Yeah. >> Yeah. >> That's what That's what Tipper Gore told >> That's what That's what Tipper Gore told >> That's what That's what Tipper Gore told you. Burn all your records. you. Burn all your records. you. Burn all your records. >> Yeah. All your Van Halen records. >> Yeah. All your Van Halen records. >> Yeah. All your Van Halen records. >> Get rid of that Judas Priest album. and >> Get rid of that Judas Priest album. and >> Get rid of that Judas Priest album. and Dawan and whatever all those death metal Dawan and whatever all those death metal Dawan and whatever all those death metal things. things. things. >> Yeah. Yeah. Exactly. Um >> Yeah. Yeah. Exactly. Um >> Yeah. Yeah. Exactly. Um >> Wow. Yeah. Burn those records. Yeah. You >> Wow. Yeah. Burn those records. Yeah. You >> Wow. Yeah. Burn those records. Yeah. You know, I think, you know, totally know, I think, you know, totally know, I think, you know, totally unrelated to IoT or tech, but I I think unrelated to IoT or tech, but I I think unrelated to IoT or tech, but I I think about we we I mean, we've talked about about we we I mean, we've talked about about we we I mean, we've talked about this before, how we see uh this before, how we see uh this before, how we see uh Sammy Hagar from time to time kind of Sammy Hagar from time to time kind of Sammy Hagar from time to time kind of bashing bashing bashing David Lee Roth. I've seen that in the David Lee Roth. I've seen that in the David Lee Roth. I've seen that in the last six months or whatever where he's last six months or whatever where he's last six months or whatever where he's like the guy can't even sing and you like the guy can't even sing and you like the guy can't even sing and you know he was never wasn't as good as I know he was never wasn't as good as I know he was never wasn't as good as I was or whatever and it's like you know was or whatever and it's like you know was or whatever and it's like you know what they had the right thing what they had the right thing what they had the right thing >> you know he had the the voice he had the
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>> you know he had the the voice he had the >> you know he had the the voice he had the right voice you know is he going to win right voice you know is he going to win right voice you know is he going to win a singing competition I don't know but a singing competition I don't know but a singing competition I don't know but for what they pulled together for what they pulled together for what they pulled together >> oh yeah >> oh yeah >> oh yeah >> you know um because you know the >> you know um because you know the >> you know um because you know the performance the stage the and the performance the stage the and the performance the stage the and the swagger of David, you know. swagger of David, you know. swagger of David, you know. >> Yeah. >> Yeah. >> Yeah. >> And then people go, "Oh crap, who is >> And then people go, "Oh crap, who is >> And then people go, "Oh crap, who is this guy playing guitar?" this guy playing guitar?" this guy playing guitar?" >> Yeah. Yeah. >> Yeah. Yeah. >> Yeah. Yeah. >> You know, no, because a lot of people >> You know, no, because a lot of people >> You know, no, because a lot of people got reeled in because it's a show. I got reeled in because it's a show. I got reeled in because it's a show. I mean, David Lee Roth is a entertainer, mean, David Lee Roth is a entertainer, mean, David Lee Roth is a entertainer, which is what you really need, I think. which is what you really need, I think. which is what you really need, I think. You know, You know, You know, >> you do. >> you do. >> you do. >> And then and then you and then you go, >> And then and then you and then you go, >> And then and then you and then you go, who's this guy? Who's this Eddie Van who's this guy? Who's this Eddie Van who's this guy? Who's this Eddie Van Halen guy? Halen guy? Halen guy? >> But you know Yeah. But you know what >> But you know Yeah. But you know what >> But you know Yeah. But you know what made them so different was the variety made them so different was the variety made them so different was the variety of styles that they infused in their of styles that they infused in their of styles that they infused in their music. Yeah. People realize that and one music. Yeah. People realize that and one music. Yeah. People realize that and one of the things that makes Van Halen of the things that makes Van Halen of the things that makes Van Halen different is everyone talks about this. different is everyone talks about this. different is everyone talks about this. It's the swing, It's the swing, It's the swing, >> right? And uh that's old school music >> right? And uh that's old school music >> right? And uh that's old school music vibe, right? And so if you listen to a vibe, right? And so if you listen to a vibe, right? And so if you listen to a lot of the glam stuff uh and early lot of the glam stuff uh and early lot of the glam stuff uh and early um music music in that day, it was kind um music music in that day, it was kind um music music in that day, it was kind of stiff, right? So if you listen to of stiff, right? So if you listen to of stiff, right? So if you listen to Rat, you listen to all these other guys, Rat, you listen to all these other guys, Rat, you listen to all these other guys, uh Dawan, what have you, it's like uh Dawan, what have you, it's like uh Dawan, what have you, it's like pretty straight beat stuff. There isn't pretty straight beat stuff. There isn't pretty straight beat stuff. There isn't really that that swing element to it, really that that swing element to it, really that that swing element to it, but then also there isn't that variety but then also there isn't that variety but then also there isn't that variety of stylistic flavors. And that's what of stylistic flavors. And that's what of stylistic flavors. And that's what made Eddie just different. Do you know
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made Eddie just different. Do you know made Eddie just different. Do you know what I'm saying? And that's why, you what I'm saying? And that's why, you what I'm saying? And that's why, you know, despite all these other uh know, despite all these other uh know, despite all these other uh gunslingers that have come um into, you gunslingers that have come um into, you gunslingers that have come um into, you know, Vogue over the years, Eddie Van know, Vogue over the years, Eddie Van know, Vogue over the years, Eddie Van Halen always sticks out just because Halen always sticks out just because Halen always sticks out just because those early albums is like, "Holy crap." those early albums is like, "Holy crap." those early albums is like, "Holy crap." And it it it's it's a very nuanced thing And it it it's it's a very nuanced thing And it it it's it's a very nuanced thing that's actually that's actually that's actually uh it translates into some big stuff uh it translates into some big stuff uh it translates into some big stuff even to you know like um unsophisticated even to you know like um unsophisticated even to you know like um unsophisticated ears right it's just ears right it's just ears right it's just >> right >> right >> right >> awesome stuff >> awesome stuff >> awesome stuff >> and you got some microphone issues >> and you got some microphone issues >> and you got some microphone issues Leonard you're coming Leonard you're coming Leonard you're coming in and out a little bit in and out a little bit in and out a little bit >> little chop little chop >> little chop little chop >> little chop little chop >> little chop you know 80s you're right >> little chop you know 80s you're right >> little chop you know 80s you're right there was that metal hair band stuff there was that metal hair band stuff there was that metal hair band stuff >> um that you're basically bashing and >> um that you're basically bashing and >> um that you're basically bashing and saying they just did the same songs over saying they just did the same songs over saying they just did the same songs over >> like straight blues. >> like straight blues. >> like straight blues. >> Um, but then if I think about the hard >> Um, but then if I think about the hard >> Um, but then if I think about the hard rock that was really awesome in the 80s, rock that was really awesome in the 80s, rock that was really awesome in the 80s, aside from Van Halen, you know, you have aside from Van Halen, you know, you have aside from Van Halen, you know, you have AC/DC, which Back in Black I still think AC/DC, which Back in Black I still think AC/DC, which Back in Black I still think is ranked number two or number three is ranked number two or number three is ranked number two or number three bestselling albums of all time.
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bestselling albums of all time. bestselling albums of all time. >> Yeah. >> Yeah. >> Yeah. >> Um, and then the late 80s >> Um, and then the late 80s >> Um, and then the late 80s >> you got Guns and Roses, >> you got Guns and Roses, >> you got Guns and Roses, >> which kind of blew people away and they >> which kind of blew people away and they >> which kind of blew people away and they didn't see that coming, you know. And as didn't see that coming, you know. And as didn't see that coming, you know. And as you've I've bel labored this, if Guns you've I've bel labored this, if Guns you've I've bel labored this, if Guns and Roses hadn't collapsed in the early and Roses hadn't collapsed in the early and Roses hadn't collapsed in the early '9s, they could have maybe fended off '9s, they could have maybe fended off '9s, they could have maybe fended off the grunt the rise of grunge. the grunt the rise of grunge. the grunt the rise of grunge. >> Yeah. >> Yeah. >> Yeah. >> Because Guns and Roses kept the 80s rock >> Because Guns and Roses kept the 80s rock >> Because Guns and Roses kept the 80s rock alive in the early 90s. Um and then they alive in the early 90s. Um and then they alive in the early 90s. Um and then they just fizzled, right? You know, and just fizzled, right? You know, and just fizzled, right? You know, and >> I think Pearl Jam Pearl Jam was >> I think Pearl Jam Pearl Jam was >> I think Pearl Jam Pearl Jam was inevitable. inevitable. inevitable. >> Yeah. No, maybe Axel Rose as they were >> Yeah. No, maybe Axel Rose as they were >> Yeah. No, maybe Axel Rose as they were collapsing, he kind of passed the baton collapsing, he kind of passed the baton collapsing, he kind of passed the baton to Eddie better or something. comes and to Eddie better or something. comes and to Eddie better or something. comes and Rosie just kind of uh you know you light Rosie just kind of uh you know you light Rosie just kind of uh you know you light the match and then it burns and that's the match and then it burns and that's the match and then it burns and that's the end of it. You know what I mean? the end of it. You know what I mean? the end of it. You know what I mean? >> That's you did light the match and >> That's you did light the match and >> That's you did light the match and >> you lit the match on both ends. >> you lit the match on both ends. >> you lit the match on both ends. >> And Pete, you're a little quiet. >> And Pete, you're a little quiet. >> And Pete, you're a little quiet. >> Oh, I am >> Oh, I am >> Oh, I am >> just a slight need a little more gain. A >> just a slight need a little more gain. A >> just a slight need a little more gain. A little more gain. little more gain. little more gain. >> Hold on. >> Hold on. >> Hold on. >> Yes. You know >> Yes. You know >> Yes. You know >> is never quiet. >> is never quiet. >> is never quiet. >> You always have a booming voice. >> You always have a booming voice. >> You always have a booming voice. >> Yeah.
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>> Yeah. >> Yeah. >> Booming. And of course, I have I have >> Booming. And of course, I have I have >> Booming. And of course, I have I have friends I have friends who say, "Oh, you friends I have friends who say, "Oh, you friends I have friends who say, "Oh, you know, you thought that this whole grunge know, you thought that this whole grunge know, you thought that this whole grunge thing just happened in '91 or '92 or thing just happened in '91 or '92 or thing just happened in '91 or '92 or whatever." And it's like, I was whatever." And it's like, I was whatever." And it's like, I was listening to Sound Garden in the 80s listening to Sound Garden in the 80s listening to Sound Garden in the 80s >> and they were a rock band in the 80s, >> and they were a rock band in the 80s, >> and they were a rock band in the 80s, you know, the second half late 80s, you you know, the second half late 80s, you you know, the second half late 80s, you know, before, you know. know, before, you know. know, before, you know. >> Yeah. >> Yeah. >> Yeah. >> And I think and I think of all the >> And I think and I think of all the >> And I think and I think of all the singers in Grunge, I think Chris Cornell singers in Grunge, I think Chris Cornell singers in Grunge, I think Chris Cornell had the best voice. had the best voice. had the best voice. >> Yeah. >> Yeah. >> Yeah. >> He could hit those crazy high notes. >> He could hit those crazy high notes. >> He could hit those crazy high notes. Chris Cornell's voice definitely super Chris Cornell's voice definitely super Chris Cornell's voice definitely super talented. Is my microphone a little talented. Is my microphone a little talented. Is my microphone a little better? better? better? >> A little better. Hearing some buzz now. >> A little better. Hearing some buzz now. >> A little better. Hearing some buzz now. >> Oh, the buzz is gone. >> Oh, the buzz is gone. >> Oh, the buzz is gone. >> Now the buzz is gone. >> Now the buzz is gone. >> Now the buzz is gone. >> Okay. Is that better? >> Okay. Is that better? >> Okay. Is that better? >> Oh, no. The buzz is when you talk. >> Oh, no. The buzz is when you talk. >> Oh, no. The buzz is when you talk. >> When you talk, the buzz comes. Yeah. You >> When you talk, the buzz comes. Yeah. You >> When you talk, the buzz comes. Yeah. You have like a freaking have like a freaking have like a freaking >> Well, you have a road usually >> Well, you have a road usually >> Well, you have a road usually >> in the background. That's like >> in the background. That's like >> in the background. That's like >> some weird thing going on. So, >> some weird thing going on. So, >> some weird thing going on. So, >> yeah. No, no, that's that's fine. I'll >> yeah. No, no, that's that's fine. I'll >> yeah. No, no, that's that's fine. I'll just talk into it like this. All right.
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just talk into it like this. All right. just talk into it like this. All right. All right. All right. All right. All right. All right. All right. All right. All right. All right. >> Hey everyone, remember to take us >> Hey everyone, remember to take us >> Hey everyone, remember to take us seriously at your own peril. We're here seriously at your own peril. We're here seriously at your own peril. We're here to have fun. And also, to have fun. And also, to have fun. And also, um, we have an exciting new charity. um, we have an exciting new charity. um, we have an exciting new charity. It's actually not new. It's more of a It's actually not new. It's more of a It's actually not new. It's more of a restructuring and repurposing of Elevate restructuring and repurposing of Elevate restructuring and repurposing of Elevate Our Kids toward Elevate Communities. And Our Kids toward Elevate Communities. And Our Kids toward Elevate Communities. And I actually I'm really excited about I actually I'm really excited about I actually I'm really excited about this. Um Rob, you and I, we have to have this. Um Rob, you and I, we have to have this. Um Rob, you and I, we have to have our inaugural planning meeting to uh I I our inaugural planning meeting to uh I I our inaugural planning meeting to uh I I think there's some really crazy stuff think there's some really crazy stuff think there's some really crazy stuff that we can do here. that we can do here. that we can do here. >> Um and the great thing about it is that >> Um and the great thing about it is that >> Um and the great thing about it is that we can bring a lot of technical we can bring a lot of technical we can bring a lot of technical expertise that we have on IoT Coffee expertise that we have on IoT Coffee expertise that we have on IoT Coffee Talk every Talk every Talk every >> day um >> day um >> day um >> or every uh to bring to bear to help uh >> or every uh to bring to bear to help uh >> or every uh to bring to bear to help uh communities. And you guys did a great communities. And you guys did a great communities. And you guys did a great job by the way in last week's episode job by the way in last week's episode job by the way in last week's episode and just kind of brainstorming and and just kind of brainstorming and and just kind of brainstorming and outlining some terrific stuff. So, I'm outlining some terrific stuff. So, I'm outlining some terrific stuff. So, I'm I'm I'm I'm going to have to go and I'm I'm I'm going to have to go and I'm I'm I'm going to have to go and listen back on it and and please no listen back on it and and please no listen back on it and and please no time. Yeah. No, Demetri, you had some time. Yeah. No, Demetri, you had some time. Yeah. No, Demetri, you had some you you had some great thoughts. So, you you had some great thoughts. So, you you had some great thoughts. So, >> Demetri, you really showed up last week.
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>> Demetri, you really showed up last week. >> Demetri, you really showed up last week. >> Yeah. Yeah. Yeah. Yeah. So, >> Yeah. Yeah. Yeah. Yeah. So, >> Yeah. Yeah. Yeah. Yeah. So, >> I've been I've been working on disaster >> I've been I've been working on disaster >> I've been I've been working on disaster preparedness for quite a while now. So preparedness for quite a while now. So preparedness for quite a while now. So I've actually started yesterday with I've actually started yesterday with I've actually started yesterday with with our no Tuesday we had our our with our no Tuesday we had our our with our no Tuesday we had our our training session for the new batch of training session for the new batch of training session for the new batch of class 67 in Sunnyville and I started to class 67 in Sunnyville and I started to class 67 in Sunnyville and I started to share some of the the meshtastic mesh share some of the the meshtastic mesh share some of the the meshtastic mesh networks idea with some of the radio networks idea with some of the radio networks idea with some of the radio guys and being ham radio guys I said but guys and being ham radio guys I said but guys and being ham radio guys I said but >> it will take some time. >> it will take some time. >> it will take some time. >> Right. Right. >> Right. Right. >> Right. Right. >> Yeah. I have all of those little things. >> Yeah. I have all of those little things. >> Yeah. I have all of those little things. >> I love those little things. We love the >> I love those little things. We love the >> I love those little things. We love the little things. Absolutely. little things. Absolutely. little things. Absolutely. >> Is that what we're going to call >> Is that what we're going to call >> Is that what we're going to call ourselves now? Ham radio coffee talk. ourselves now? Ham radio coffee talk. ourselves now? Ham radio coffee talk. >> Oh, no. >> Oh, no. >> Oh, no. Old school. Old school. Old school. >> Oh, we all need gray hair. I'm sorry. >> Oh, we all need gray hair. I'm sorry. >> Oh, we all need gray hair. I'm sorry. I'm radio operator myself, but it's a I'm radio operator myself, but it's a I'm radio operator myself, but it's a weird community. weird community. weird community. >> Yes. >> Yes. >> Yes. >> Well, you know, they're still relevant. >> Well, you know, they're still relevant. >> Well, you know, they're still relevant. I mean, gez. I mean, gez. I mean, gez. >> Oh, totally. >> Oh, totally. >> Oh, totally. >> Radios. Come on. >> Radios. Come on. >> Radios. Come on. >> Yeah. So, in the news, there was news >> Yeah. So, in the news, there was news >> Yeah. So, in the news, there was news about Microsoft and a giant AI data about Microsoft and a giant AI data about Microsoft and a giant AI data center in Wisconsin center in Wisconsin center in Wisconsin this week. U Satia put out something or this week. U Satia put out something or this week. U Satia put out something or Scott Scott Goo put out something Scott Scott Goo put out something Scott Scott Goo put out something yesterday yesterday yesterday >> and we can't hear you, Pete. I hear I >> and we can't hear you, Pete. I hear I >> and we can't hear you, Pete. I hear I see your mouth's moving and you're not see your mouth's moving and you're not see your mouth's moving and you're not on mute, but you're also but you're on mute, but you're also but you're on mute, but you're also but you're muted somehow.
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muted somehow. muted somehow. >> All right. Manual override. Manual >> All right. Manual override. Manual >> All right. Manual override. Manual override. override. override. >> Manual override. Still quiet, but manual >> Manual override. Still quiet, but manual >> Manual override. Still quiet, but manual override. Yeah. override. Yeah. override. Yeah. >> Okay. >> Okay. >> Okay. Yeah. Um, and so it what it looks like Yeah. Um, and so it what it looks like Yeah. Um, and so it what it looks like Scott Guthrie put out something and Scott Guthrie put out something and Scott Guthrie put out something and there's been some news about this, some there's been some news about this, some there's been some news about this, some counter news was it looks like do you counter news was it looks like do you counter news was it looks like do you guys does anyone remember how Foxcon was guys does anyone remember how Foxcon was guys does anyone remember how Foxcon was going to build a factory going to build a factory going to build a factory >> in Wisconsin? >> in Wisconsin? >> in Wisconsin? >> Yeah. >> Yeah. >> Yeah. >> Yeah. Yeah. Yeah. So, Microsoft >> Yeah. Yeah. Yeah. So, Microsoft >> Yeah. Yeah. Yeah. So, Microsoft basically just basically just basically just took over that factory and they're took over that factory and they're took over that factory and they're expanding and that's going to be a new expanding and that's going to be a new expanding and that's going to be a new AI data center and they're saying it'll AI data center and they're saying it'll AI data center and they're saying it'll be the biggest AI data center in the be the biggest AI data center in the be the biggest AI data center in the world which I'm sure that will make Elon world which I'm sure that will make Elon world which I'm sure that will make Elon unhappy, you know, cuz he probably unhappy, you know, cuz he probably unhappy, you know, cuz he probably thought his Colossus was the biggest, thought his Colossus was the biggest, thought his Colossus was the biggest, you know, it's like I've got a 100,000 you know, it's like I've got a 100,000 you know, it's like I've got a 100,000 Nvidia GPUs. I'll And Microsoft's like Nvidia GPUs. I'll And Microsoft's like Nvidia GPUs. I'll And Microsoft's like I'll raise you. But also part of this um I'll raise you. But also part of this um I'll raise you. But also part of this um is it fair to say that we're starting to is it fair to say that we're starting to is it fair to say that we're starting to see kind of the separation from see kind of the separation from see kind of the separation from Microsoft and their AI aspirations from Microsoft and their AI aspirations from Microsoft and their AI aspirations from open AI because they've always been open AI because they've always been open AI because they've always been joined at the hip but it's been a a joined at the hip but it's been a a joined at the hip but it's been a a twofur.
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twofur. twofur. >> Yeah. >> Yeah. >> Yeah. >> And so uh which I think Microsoft needs >> And so uh which I think Microsoft needs >> And so uh which I think Microsoft needs to do. Microsoft got a lot of love and a to do. Microsoft got a lot of love and a to do. Microsoft got a lot of love and a lot of bang for the buck in their stock lot of bang for the buck in their stock lot of bang for the buck in their stock price riding the AI wave. writing price riding the AI wave. writing price riding the AI wave. writing basically on OpenAI's back. But they but basically on OpenAI's back. But they but basically on OpenAI's back. But they but they provided the compute that OpenAI they provided the compute that OpenAI they provided the compute that OpenAI needed and now things are just getting needed and now things are just getting needed and now things are just getting so much exponentially bigger. Um so much exponentially bigger. Um so much exponentially bigger. Um starting with Stargate earlier today. So starting with Stargate earlier today. So starting with Stargate earlier today. So I I think uh this is a big deal. I think I I think uh this is a big deal. I think I I think uh this is a big deal. I think also Microsoft announced like something also Microsoft announced like something also Microsoft announced like something in Norway as well. in Norway as well. in Norway as well. >> Um so >> Um so >> Um so >> they're doubling down on their >> they're doubling down on their >> they're doubling down on their infrastructure. It's only going to use infrastructure. It's only going to use infrastructure. It's only going to use 2.8 million gallons a year and so it's a 2.8 million gallons a year and so it's a 2.8 million gallons a year and so it's a big deal. Whatever. big deal. Whatever. big deal. Whatever. >> Yeah. And I think that was the other the >> Yeah. And I think that was the other the >> Yeah. And I think that was the other the the other deal there is is water the other deal there is is water the other deal there is is water >> water. >> water. >> water. >> Water aqua. >> Water aqua. >> Water aqua. >> Never mind the electricity. I mean what >> Never mind the electricity. I mean what >> Never mind the electricity. I mean what percentage of Wisconsin's electricity is percentage of Wisconsin's electricity is percentage of Wisconsin's electricity is going to be used for that data center? going to be used for that data center? going to be used for that data center? >> Forget it, dude. >> Forget it, dude. >> Forget it, dude. >> Progress. Don't get in the way. >> Progress. Don't get in the way. >> Progress. Don't get in the way. >> Like like everybody build big so-called >> Like like everybody build big so-called >> Like like everybody build big so-called gold rush. You know, the people who make gold rush. You know, the people who make gold rush. You know, the people who make money are not the one that going to use money are not the one that going to use money are not the one that going to use AI, but the people sending water and AI, but the people sending water and AI, but the people sending water and electricity are going to electricity are going to electricity are going to >> Well, I think it's funny like because >> Well, I think it's funny like because >> Well, I think it's funny like because these are all every data center is these are all every data center is these are all every data center is touted as carbon neutral and all these touted as carbon neutral and all these touted as carbon neutral and all these other things. And you know, the way you other things. And you know, the way you other things. And you know, the way you do that is you you you basically buy do that is you you you basically buy do that is you you you basically buy carbon offsets. You spend money carbon offsets. You spend money carbon offsets. You spend money >> in other areas. It's sort of like buying >> in other areas. It's sort of like buying >> in other areas. It's sort of like buying like a $1,000 sweater and getting $200 like a $1,000 sweater and getting $200 like a $1,000 sweater and getting $200 off and coming home and saying, "I saved off and coming home and saying, "I saved off and coming home and saying, "I saved $200."
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$200." $200." >> Like, no, you spent $800 on a sweater. >> Like, no, you spent $800 on a sweater. >> Like, no, you spent $800 on a sweater. That's what you actually did. That's what you actually did. That's what you actually did. >> That's what you did. uh you didn't save >> That's what you did. uh you didn't save >> That's what you did. uh you didn't save $200. So whenever we see carbon neutral $200. So whenever we see carbon neutral $200. So whenever we see carbon neutral or was it the other day Meta had a thing or was it the other day Meta had a thing or was it the other day Meta had a thing about how they're only they're using about how they're only they're using about how they're only they're using only a million gallons of water, not it only a million gallons of water, not it only a million gallons of water, not it could have been a lot more but it's only could have been a lot more but it's only could have been a lot more but it's only a million. a million. a million. >> This is this is one of the this is one >> This is this is one of the this is one >> This is this is one of the this is one of Tesla's secret socal you know revenue of Tesla's secret socal you know revenue of Tesla's secret socal you know revenue or profitability is selling the carbon or profitability is selling the carbon or profitability is selling the carbon credits. credits. credits. >> There you go. Yeah. So, that's a lot of >> There you go. Yeah. So, that's a lot of >> There you go. Yeah. So, that's a lot of water usage. And was there some water usage. And was there some water usage. And was there some lawsuits? Did we read about like people lawsuits? Did we read about like people lawsuits? Did we read about like people in the town uh nearby there in Wisconsin in the town uh nearby there in Wisconsin in the town uh nearby there in Wisconsin like going, "I would like to have a like going, "I would like to have a like going, "I would like to have a glass of water tomorrow, but it turns glass of water tomorrow, but it turns glass of water tomorrow, but it turns out I won't get one and so we're going out I won't get one and so we're going out I won't get one and so we're going to sue you." Um, so yeah, that they to sue you." Um, so yeah, that they to sue you." Um, so yeah, that they grabbed the Fox Con factory, which is a grabbed the Fox Con factory, which is a grabbed the Fox Con factory, which is a great jump start. Uh, I remember the great jump start. Uh, I remember the great jump start. Uh, I remember the hubhub thinking Foxcon was going to come hubhub thinking Foxcon was going to come hubhub thinking Foxcon was going to come to America and all that magic was going to America and all that magic was going to America and all that magic was going to happen. whole thing. The ribbon to happen. whole thing. The ribbon to happen. whole thing. The ribbon cutting. Yeah, it was fantastic. cutting. Yeah, it was fantastic. cutting. Yeah, it was fantastic. >> Yeah. Yeah, totally. I remember that. >> Yeah. Yeah, totally. I remember that. >> Yeah. Yeah, totally. I remember that. And And And >> there was some big numbers attached to >> there was some big numbers attached to >> there was some big numbers attached to that, too.
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that, too. that, too. >> Yeah, there was. >> Yeah, there was. >> Yeah, there was. >> That was That was like a hundred >> That was That was like a hundred >> That was That was like a hundred gazillion dollar investment. gazillion dollar investment. gazillion dollar investment. >> Exactly. It's like >> Exactly. It's like >> Exactly. It's like >> bajillion. I think it was >> bajillion. I think it was >> bajillion. I think it was >> a bajillion. Yeah. >> a bajillion. Yeah. >> a bajillion. Yeah. >> Not gajillion. Bajillion. >> Not gajillion. Bajillion. >> Not gajillion. Bajillion. >> Bajillion. I stand corrected. >> Bajillion. I stand corrected. >> Bajillion. I stand corrected. >> Gajillion or less than a gill. By the >> Gajillion or less than a gill. By the >> Gajillion or less than a gill. By the way, the other thing about data centers, way, the other thing about data centers, way, the other thing about data centers, I've been doing some more research here I've been doing some more research here I've been doing some more research here because I'm giving this talk at the because I'm giving this talk at the because I'm giving this talk at the things conference next week called how things conference next week called how things conference next week called how edge AI will save the world edge AI will save the world edge AI will save the world >> and uh part of it is maybe it's >> and uh part of it is maybe it's >> and uh part of it is maybe it's hyperbole, but um I don't know what's hyperbole, but um I don't know what's hyperbole, but um I don't know what's going to save the world. going to save the world. going to save the world. >> That's how you get people to come to >> That's how you get people to come to >> That's how you get people to come to your session. your session. your session. >> Yeah, exactly. It's clickbait. >> Yeah, exactly. It's clickbait. >> Yeah, exactly. It's clickbait. >> Yeah. >> Yeah. >> Yeah. >> But um you know the the noise level on >> But um you know the the noise level on >> But um you know the the noise level on data centers typically is hovers around data centers typically is hovers around data centers typically is hovers around 90 dB. Can be up to 96 dB. 90 dB. Can be up to 96 dB. 90 dB. Can be up to 96 dB. >> Wow. And that is freaking loud. You >> Wow. And that is freaking loud. You >> Wow. And that is freaking loud. You know, like if anyone has an Apple Watch, know, like if anyone has an Apple Watch, know, like if anyone has an Apple Watch, if you go over 90 dB, because I I crank if you go over 90 dB, because I I crank if you go over 90 dB, because I I crank my stereo in my car, my stereo in my car, my stereo in my car, >> I always get the notification like it's >> I always get the notification like it's >> I always get the notification like it's too loud. too loud. too loud. >> Too loud, you're going death. >> Too loud, you're going death. >> Too loud, you're going death. >> But sustained 96 dB plus.
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>> But sustained 96 dB plus. >> But sustained 96 dB plus. >> Um, >> Um, >> Um, >> yes, >> yes, >> yes, >> freaking loud. So, there's noise, >> freaking loud. So, there's noise, >> freaking loud. So, there's noise, there's water, there's power. You know, there's water, there's power. You know, there's water, there's power. You know, this is this is this is >> I think in fact I think uh we talked >> I think in fact I think uh we talked >> I think in fact I think uh we talked about this maybe a few weeks ago because about this maybe a few weeks ago because about this maybe a few weeks ago because there was something on the news or may there was something on the news or may there was something on the news or may have been Sunday morning show or have been Sunday morning show or have been Sunday morning show or whatever and the and the reporter was I whatever and the and the reporter was I whatever and the and the reporter was I think in Tennessee outside of Elon's think in Tennessee outside of Elon's think in Tennessee outside of Elon's place and and they had special built all place and and they had special built all place and and they had special built all these natural gas giant you know these natural gas giant you know these natural gas giant you know transformer generator things and you're transformer generator things and you're transformer generator things and you're right they were walking around was like right they were walking around was like right they were walking around was like you know if because you know how loud it you know if because you know how loud it you know if because you know how loud it is inside the data center if you spend is inside the data center if you spend is inside the data center if you spend any time there all the fans and every any time there all the fans and every any time there all the fans and every Yeah. And so uh and so neighbors were Yeah. And so uh and so neighbors were Yeah. And so uh and so neighbors were complaining because the sound never complaining because the sound never complaining because the sound never stops. It's just stops. It's just stops. It's just >> it's 24/7. >> it's 24/7. >> it's 24/7. >> Yeah. Yeah. So I had an interesting um I >> Yeah. Yeah. So I had an interesting um I >> Yeah. Yeah. So I had an interesting um I was in Alexandria, Virginia last two was in Alexandria, Virginia last two was in Alexandria, Virginia last two days uh with uh Hitachi Vanara. And days uh with uh Hitachi Vanara. And days uh with uh Hitachi Vanara. And what's interesting a tiein to this is what's interesting a tiein to this is what's interesting a tiein to this is they hired and brought in a a VP. It was they hired and brought in a a VP. It was they hired and brought in a a VP. It was a guy who used to run uh a big chunk a a guy who used to run uh a big chunk a a guy who used to run uh a big chunk a big P&L for Equinex. And Equinex is the big P&L for Equinex. And Equinex is the big P&L for Equinex. And Equinex is the world's largest data center provider.
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world's largest data center provider. world's largest data center provider. And he was kind of talking about And he was kind of talking about And he was kind of talking about something we've all heard. You know, you something we've all heard. You know, you something we've all heard. You know, you know, they're like the bottleneck isn't know, they're like the bottleneck isn't know, they're like the bottleneck isn't how many GPUs Jensen can make. It it how many GPUs Jensen can make. It it how many GPUs Jensen can make. It it truly is electricity. And he was really truly is electricity. And he was really truly is electricity. And he was really specific about it. He was like, he was specific about it. He was like, he was specific about it. He was like, he was talking about not enough transformers, talking about not enough transformers, talking about not enough transformers, not enough uh base station, you know, he not enough uh base station, you know, he not enough uh base station, you know, he he he he got really detailed and cuz he he he he got really detailed and cuz he he he he got really detailed and cuz he talked about he goes, you know, you talked about he goes, you know, you talked about he goes, you know, you think that the all the stuff to talk think that the all the stuff to talk think that the all the stuff to talk about with a data center is walking about with a data center is walking about with a data center is walking through there and seeing racks of through there and seeing racks of through there and seeing racks of servers. And he's like, no, it's not. servers. And he's like, no, it's not. servers. And he's like, no, it's not. It's what's happening underground and It's what's happening underground and It's what's happening underground and all that. And he talks he went into all that. And he talks he went into all that. And he talks he went into great detail what it takes to build and great detail what it takes to build and great detail what it takes to build and operate one of those things. operate one of those things. operate one of those things. >> Yeah. And part of it is taking a >> Yeah. And part of it is taking a >> Yeah. And part of it is taking a dependency on the public grid. uh that's dependency on the public grid. uh that's dependency on the public grid. uh that's the real issue. So now data centers are the real issue. So now data centers are the real issue. So now data centers are being built next to power plants behind being built next to power plants behind being built next to power plants behind the behind the meter so they don't have the behind the meter so they don't have the behind the meter so they don't have to take reliance or they'll be to take reliance or they'll be to take reliance or they'll be self-powered with these small nuclear self-powered with these small nuclear self-powered with these small nuclear you know I'm sure we'll see small you know I'm sure we'll see small you know I'm sure we'll see small nuclear self-powered data centers nuclear self-powered data centers nuclear self-powered data centers because they won't they don't want to because they won't they don't want to because they won't they don't want to take a dependency on the public grid take a dependency on the public grid take a dependency on the public grid >> which is good and in one sense might >> which is good and in one sense might >> which is good and in one sense might free up the public grid for the public free up the public grid for the public free up the public grid for the public to actually keep the lights on.
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to actually keep the lights on. to actually keep the lights on. >> Um >> Um >> Um >> that's kind of like an edge computing >> that's kind of like an edge computing >> that's kind of like an edge computing story. story. story. >> Edge computing frees up the rest of the >> Edge computing frees up the rest of the >> Edge computing frees up the rest of the big network. big network. big network. >> That's true. Right. >> That's true. Right. >> That's true. Right. >> Yeah. We do that stuff locally. Close. >> Yeah. We do that stuff locally. Close. >> Yeah. We do that stuff locally. Close. >> By the way, here's my news. >> By the way, here's my news. >> By the way, here's my news. >> Oh, wow. That >> Oh, wow. That >> Oh, wow. That >> has that look like from the Old West, >> has that look like from the Old West, >> has that look like from the Old West, like if we were campire mug. like if we were campire mug. like if we were campire mug. >> Yes, it's a camp mug. We're one day >> Yes, it's a camp mug. We're one day >> Yes, it's a camp mug. We're one day we're going to have a we're going to have a we're going to have a >> campfire >> campfire >> campfire camping trip. camping trip. camping trip. >> And we'll be using those kind of mugs >> And we'll be using those kind of mugs >> And we'll be using those kind of mugs around the fire while we around the fire while we around the fire while we >> There you go. I'll bring the mugs. >> There you go. I'll bring the mugs. >> There you go. I'll bring the mugs. >> Bring the marshmallows. We we'll camp by >> Bring the marshmallows. We we'll camp by >> Bring the marshmallows. We we'll camp by the lake just close to the nuclear power the lake just close to the nuclear power the lake just close to the nuclear power plant at the data center plant at the data center plant at the data center >> next to the data center. >> next to the data center. >> next to the data center. >> Yes. And we will drink water. >> Yes. And we will drink water. >> Yes. And we will drink water. >> We'll be like, "What? What did you say? >> We'll be like, "What? What did you say? >> We'll be like, "What? What did you say? What? I can't hear you. The data center What? I can't hear you. The data center What? I can't hear you. The data center is at 96 dB." is at 96 dB." is at 96 dB." >> Isn't it funny how I don't want to say >> Isn't it funny how I don't want to say >> Isn't it funny how I don't want to say just like this, but people's attitudes just like this, but people's attitudes just like this, but people's attitudes and viewpoints on nuclear power has and viewpoints on nuclear power has and viewpoints on nuclear power has definitely changed dramatically in the definitely changed dramatically in the definitely changed dramatically in the last few years. Yes. last few years. Yes. last few years. Yes. >> Or maybe it's just us in the tech bubble >> Or maybe it's just us in the tech bubble >> Or maybe it's just us in the tech bubble that it's changed and the a average that it's changed and the a average that it's changed and the a average person still freaked out by it.
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person still freaked out by it. person still freaked out by it. >> But you know then I don't want to name >> But you know then I don't want to name >> But you know then I don't want to name names but I know you know I work with a names but I know you know I work with a names but I know you know I work with a lot of folks in this space who are in lot of folks in this space who are in lot of folks in this space who are in the data center business too and they the data center business too and they the data center business too and they are saying like they will run these AI are saying like they will run these AI are saying like they will run these AI workloads on the cleanest energy they workloads on the cleanest energy they workloads on the cleanest energy they can find. But if they can't find clean can find. But if they can't find clean can find. But if they can't find clean energy they will run it on coal. They'll energy they will run it on coal. They'll energy they will run it on coal. They'll run it on whale oil if they have to. I run it on whale oil if they have to. I run it on whale oil if they have to. I mean they will not they will not stop mean they will not they will not stop mean they will not they will not stop running these AI works in running these AI works in running these AI works in >> restaurant grease >> restaurant grease >> restaurant grease >> restaurant grease whale oil wherever >> restaurant grease whale oil wherever >> restaurant grease whale oil wherever they can get their they can get their they can get their >> hand we should use all now we have so >> hand we should use all now we have so >> hand we should use all now we have so many great AI tools uh what VO or three many great AI tools uh what VO or three many great AI tools uh what VO or three or whatever we can make short videos we or whatever we can make short videos we or whatever we can make short videos we should make one where like you know Sam should make one where like you know Sam should make one where like you know Sam Alman is on a ship and firing a harpoon Alman is on a ship and firing a harpoon Alman is on a ship and firing a harpoon at a whale and then they salvage get the at a whale and then they salvage get the at a whale and then they salvage get the whale oil and then they pump it in to whale oil and then they pump it in to whale oil and then they pump it in to spin spin spin the new the new energy paradigm the new the new energy paradigm the new the new energy paradigm >> going back to whale oil >> going back to whale oil >> going back to whale oil whale killing is not very popular but u whale killing is not very popular but u whale killing is not very popular but u but I mean the reality is that you know but I mean the reality is that you know but I mean the reality is that you know most of the the the the the most of the the the the the most of the the the the the issues with with nuclear was the issues with with nuclear was the issues with with nuclear was the ecologist and the lobbying they had in ecologist and the lobbying they had in ecologist and the lobbying they had in the 80s that was actually specifically the 80s that was actually specifically the 80s that was actually specifically true in France and and I've I've always true in France and and I've I've always true in France and and I've I've always been very upset about that I me being I been very upset about that I me being I been very upset about that I me being I keep on saying that I've been looking keep on saying that I've been looking keep on saying that I've been looking for a smart technologist for 45 years for a smart technologist for 45 years for a smart technologist for 45 years still and find one. So, still and find one. So, still and find one. So, >> they had shut down dozens of in France >> they had shut down dozens of in France >> they had shut down dozens of in France dozens of nuclear projects.
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dozens of nuclear projects. dozens of nuclear projects. >> Not that many were not as bad as the >> Not that many were not as bad as the >> Not that many were not as bad as the Germans, but uh and it's it's a big it's Germans, but uh and it's it's a big it's Germans, but uh and it's it's a big it's a big still I think at a big still I think at a big still I think at >> France are still I think 60 or 70% is >> France are still I think 60 or 70% is >> France are still I think 60 or 70% is still nuclear in France. still nuclear in France. still nuclear in France. >> France nobody is the drama the drama is >> France nobody is the drama the drama is >> France nobody is the drama the drama is we stopped investing. Yeah, we stopped investing. Yeah, we stopped investing. Yeah, >> France was very advanced and we've >> France was very advanced and we've >> France was very advanced and we've stopped investing to a point that the stopped investing to a point that the stopped investing to a point that the the the power plant are now like 40 50 the the power plant are now like 40 50 the the power plant are now like 40 50 years old and we can't even find people years old and we can't even find people years old and we can't even find people to solder them to do the the welding to to solder them to do the the welding to to solder them to do the the welding to to fix some of the things because it's a to fix some of the things because it's a to fix some of the things because it's a very specific techniques and those guys very specific techniques and those guys very specific techniques and those guys are all they died and we didn't train are all they died and we didn't train are all they died and we didn't train new ones because we were not building new ones because we were not building new ones because we were not building new power plant. a whole industry that new power plant. a whole industry that new power plant. a whole industry that was very advanced in France completely was very advanced in France completely was very advanced in France completely collapsed just of bunch of freaking collapsed just of bunch of freaking collapsed just of bunch of freaking idiots which is idiots which is idiots which is >> well you know the next thing after the >> well you know the next thing after the >> well you know the next thing after the nuclear power plants is the nuclear nuclear power plants is the nuclear nuclear power plants is the nuclear power plants that's power plants that's power plants that's >> but in fairness I think there were >> but in fairness I think there were >> but in fairness I think there were recent news about the CERN in Europe recent news about the CERN in Europe recent news about the CERN in Europe that actually achieve a very long fusion that actually achieve a very long fusion that actually achieve a very long fusion uh experiment so because that's the next uh experiment so because that's the next uh experiment so because that's the next ultimately ultimately ultimately >> wave of technology because fusion once >> wave of technology because fusion once >> wave of technology because fusion once we can control it then it's unlimited we can control it then it's unlimited we can control it then it's unlimited power without any risk. So, well, power without any risk. So, well, power without any risk. So, well, without any limited power.
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without any limited power. without any limited power. >> Meanwhile, Demetri is like, I'm >> Meanwhile, Demetri is like, I'm >> Meanwhile, Demetri is like, I'm surrounded by freaking idiots in France. surrounded by freaking idiots in France. surrounded by freaking idiots in France. Why don't we have new people who know Why don't we have new people who know Why don't we have new people who know how to do nukes? how to do nukes? how to do nukes? >> Why Why do you think I moved? But, by >> Why Why do you think I moved? But, by >> Why Why do you think I moved? But, by the way, there's plenty of idiots here, the way, there's plenty of idiots here, the way, there's plenty of idiots here, too. too. too. >> Yeah, we have plenty of idiots. All >> Yeah, we have plenty of idiots. All >> Yeah, we have plenty of idiots. All every just every just every just But like France exports electricity from But like France exports electricity from But like France exports electricity from their nuke powers to Italy and other their nuke powers to Italy and other their nuke powers to Italy and other surrounding countries. surrounding countries. surrounding countries. >> Yeah. Not as not as much because again >> Yeah. Not as not as much because again >> Yeah. Not as not as much because again the the power plants are aging and now the the power plants are aging and now the the power plants are aging and now it's the the consumption is is more but it's the the consumption is is more but it's the the consumption is is more but yeah it used to be I mean that was the yeah it used to be I mean that was the yeah it used to be I mean that was the vision in the in the 60s7s with the goal vision in the in the 60s7s with the goal vision in the in the 60s7s with the goal where France wanted to be independent where France wanted to be independent where France wanted to be independent >> but yeah things have changed. >> but yeah things have changed. >> but yeah things have changed. >> Wow maybe changed who knows >> Wow maybe changed who knows >> Wow maybe changed who knows >> you know or as Michael Jackson would say >> you know or as Michael Jackson would say >> you know or as Michael Jackson would say make that change. Yeah, you know, it make that change. Yeah, you know, it make that change. Yeah, you know, it it's it's it's it's curious it's curious it's curious um why we do this because it's almost um why we do this because it's almost um why we do this because it's almost like okay, we create these these like okay, we create these these like okay, we create these these collection of crisis collection of crisis collection of crisis uh for what? You know what I'm saying?
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uh for what? You know what I'm saying? uh for what? You know what I'm saying? Um does AI really make life that much Um does AI really make life that much Um does AI really make life that much better? >> You know what I'm saying? >> You know what I'm saying? >> I mean, no. I mean, think about it. It's >> I mean, no. I mean, think about it. It's >> I mean, no. I mean, think about it. It's like we're it's a water crisis, an like we're it's a water crisis, an like we're it's a water crisis, an energy crisis. It's all, you know, it's energy crisis. It's all, you know, it's energy crisis. It's all, you know, it's all contrived stuff all contrived stuff all contrived stuff and and for AI. and and for AI. and and for AI. >> Yeah. >> Yeah. >> Yeah. >> I mean, this is this is I mean, this is >> I mean, this is this is I mean, this is >> I mean, this is this is I mean, this is a story of innovation. I mean, in the a story of innovation. I mean, in the a story of innovation. I mean, in the beginning of new technologies, people beginning of new technologies, people beginning of new technologies, people are always there's a lot of problems are always there's a lot of problems are always there's a lot of problems that people always see the the positive, that people always see the the positive, that people always see the the positive, the negatives. You don't know. You have the negatives. You don't know. You have the negatives. You don't know. You have to look over time. I'm pretty sure that to look over time. I'm pretty sure that to look over time. I'm pretty sure that when electricity started to spread, when electricity started to spread, when electricity started to spread, people would say, "Oh, this is what is people would say, "Oh, this is what is people would say, "Oh, this is what is that thing you need? that thing you need? that thing you need? >> You can get electrocuted. Then why do we >> You can get electrocuted. Then why do we >> You can get electrocuted. Then why do we need that? We have called. need that? We have called. need that? We have called. >> Well, they had they had legitimate >> Well, they had they had legitimate >> Well, they had they had legitimate concerns until they could people from being shocked to death. people from being shocked to death. >> Yeah. But that's my point. That's my >> Yeah. But that's my point. That's my >> Yeah. But that's my point. That's my point because the technology was not point because the technology was not point because the technology was not very well, you know, contracted. very well, you know, contracted. very well, you know, contracted. >> And we're still in the we're in the >> And we're still in the we're in the >> And we're still in the we're in the steam age of AI. It's a steam steam age of AI. It's a steam steam age of AI. It's a steam >> big locomotives. You're shoveling coal.
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>> big locomotives. You're shoveling coal. >> big locomotives. You're shoveling coal. Like it kind of works, but it's smelly Like it kind of works, but it's smelly Like it kind of works, but it's smelly and huge and inefficient. And you know, and huge and inefficient. And you know, and huge and inefficient. And you know, we need to get to orders of magnitude we need to get to orders of magnitude we need to get to orders of magnitude more efficiency within. more efficiency within. more efficiency within. >> That's true. That's true. That's a good >> That's true. That's true. That's a good >> That's true. That's true. That's a good point. point. point. >> That's where the issue is is the >> That's where the issue is is the >> That's where the issue is is the efficiency. It's like the what they say efficiency. It's like the what they say efficiency. It's like the what they say the human brain runs at like 25 watts or the human brain runs at like 25 watts or the human brain runs at like 25 watts or so and so and so and >> you know some AGI data center runs at >> you know some AGI data center runs at >> you know some AGI data center runs at like 25 gigawatt. like 25 gigawatt. like 25 gigawatt. >> But but Pete, since we're in the steam >> But but Pete, since we're in the steam >> But but Pete, since we're in the steam age, does that mean we can wear age, does that mean we can wear age, does that mean we can wear steampunk clothing and stuff like that? steampunk clothing and stuff like that? steampunk clothing and stuff like that? >> You want to, you can. There's never >> You want to, you can. There's never >> You want to, you can. There's never anything wrong wearing steampunk anything wrong wearing steampunk anything wrong wearing steampunk clothing. clothing. clothing. >> Maybe I'll bring a monle with me. >> Maybe I'll bring a monle with me. >> Maybe I'll bring a monle with me. >> Leonard has something to say. >> Leonard has something to say. >> Leonard has something to say. I want you to understand this. You just I want you to understand this. You just I want you to understand this. You just freaking outed us out. freaking outed us out. freaking outed us out. >> What? That your brain was listen to >> What? That your brain was listen to >> What? That your brain was listen to that. They're It's going to start that. They're It's going to start that. They're It's going to start harvesting our brains, dude. Your harvesting our brains, dude. Your harvesting our brains, dude. Your problem. problem. problem. >> Yikes. >> Yikes. >> Yikes. >> Oh, >> Oh, >> Oh, >> wow. >> wow. >> wow. >> That's my new startup. >> That's my new startup. >> That's my new startup. >> Realize we're the only things that >> Realize we're the only things that >> Realize we're the only things that actually learn and we do it in actually learn and we do it in actually learn and we do it in incredible real time. You know, we do it incredible real time. You know, we do it incredible real time. You know, we do it in real time. in real time. in real time. >> Continuous learning. Continuous. >> Continuous learning. Continuous. >> Continuous learning. Continuous. >> Oh my god. Well, you know, and it's >> Oh my god. Well, you know, and it's >> Oh my god. Well, you know, and it's funny funny funny >> like 25 >> like 25 >> like 25 >> is something people are only starting.
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>> is something people are only starting. >> is something people are only starting. We've been talking about IoT coffee talk We've been talking about IoT coffee talk We've been talking about IoT coffee talk forever. This is only something that forever. This is only something that forever. This is only something that people are starting to learn that large people are starting to learn that large people are starting to learn that large language models don't learn. They can language models don't learn. They can language models don't learn. They can infer. infer. infer. >> That's different from learning, >> That's different from learning, >> That's different from learning, >> right? >> right? >> right? >> You can train, but they can't learn. >> You can train, but they can't learn. >> You can train, but they can't learn. >> They don't. But you have to there's an >> They don't. But you have to there's an >> They don't. But you have to there's an active activity, massive energy, massive active activity, massive energy, massive active activity, massive energy, massive everything that goes into making helping everything that goes into making helping everything that goes into making helping these things learn. They don't learn on these things learn. They don't learn on these things learn. They don't learn on their own. their own. their own. >> Right. >> Right. >> Right. >> Right. >> Right. >> Right. >> Right. That's that's >> Right. That's that's >> Right. That's that's >> 25 gawatt versus 25 watts. I mean, >> 25 gawatt versus 25 watts. I mean, >> 25 gawatt versus 25 watts. I mean, that's where we're at. that's where we're at. that's where we're at. >> It's a new thing. And you know, this >> It's a new thing. And you know, this >> It's a new thing. And you know, this actually could be the downfall of LLMs actually could be the downfall of LLMs actually could be the downfall of LLMs because there's cheaper ways of uh um because there's cheaper ways of uh um because there's cheaper ways of uh um you know, creating learning systems. you know, creating learning systems. you know, creating learning systems. >> Way cheaper. Way cheaper. Especially as >> Way cheaper. Way cheaper. Especially as >> Way cheaper. Way cheaper. Especially as you close the loop toward aentic AI you close the loop toward aentic AI you close the loop toward aentic AI where these things are very specific and where these things are very specific and where these things are very specific and narrow. narrow. narrow. >> Yeah, >> Yeah, >> Yeah, and everything is going and everything is going and everything is going >> there's a lot of uh cool research >> there's a lot of uh cool research >> there's a lot of uh cool research happening in edge AI around uh happening in edge AI around uh happening in edge AI around uh continuous learning like neuromorphic continuous learning like neuromorphic continuous learning like neuromorphic computing and spiking neural networks.
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computing and spiking neural networks. computing and spiking neural networks. There's reinforcement learning amongst There's reinforcement learning amongst There's reinforcement learning amongst different endpoints. So, different endpoints. So, different endpoints. So, >> you know, and the cloud is like, you >> you know, and the cloud is like, you >> you know, and the cloud is like, you know, not not not it's the least know, not not not it's the least know, not not not it's the least efficient place to do AI right now. efficient place to do AI right now. efficient place to do AI right now. Don't tell a GPU guy that. Don't tell a GPU guy that. Don't tell a GPU guy that. >> Wow. >> Wow. >> Wow. >> No, I won't. >> No, I won't. >> No, I won't. >> No. Wait. I'm I'm going to type that on >> No. Wait. I'm I'm going to type that on >> No. Wait. I'm I'm going to type that on LinkedIn right now. Pete Bernard said LinkedIn right now. Pete Bernard said LinkedIn right now. Pete Bernard said the cloud is the least efficient place the cloud is the least efficient place the cloud is the least efficient place to do AI to do AI to do AI >> and then people the men in black are >> and then people the men in black are >> and then people the men in black are going to show up at your house. going to show up at your house. going to show up at your house. >> Oh yeah. Yeah. You're getting >> Oh yeah. Yeah. You're getting >> Oh yeah. Yeah. You're getting >> I mean I I would I would challenge that >> I mean I I would I would challenge that >> I mean I I would I would challenge that because I mean the cloud is just someone because I mean the cloud is just someone because I mean the cloud is just someone else's computer. The reality is that the else's computer. The reality is that the else's computer. The reality is that the the current, you know, AI technology the current, you know, AI technology the current, you know, AI technology requires an enormous amount of requires an enormous amount of requires an enormous amount of computational power to build the model. computational power to build the model. computational power to build the model. Once the model is built, you can infer Once the model is built, you can infer Once the model is built, you can infer it locally. So, it's just the it locally. So, it's just the it locally. So, it's just the inefficiency of the of the of the cloud inefficiency of the of the of the cloud inefficiency of the of the of the cloud or it's the inefficiency of the the AI or it's the inefficiency of the the AI or it's the inefficiency of the the AI that we're building. that we're building. that we're building. >> Oh, that's true. The cloud itself is not >> Oh, that's true. The cloud itself is not >> Oh, that's true. The cloud itself is not the issue. It's the inefficiency of the the issue. It's the inefficiency of the the issue. It's the inefficiency of the training and the training and the training and the >> Yeah, it's the Yeah, it's the way we >> Yeah, it's the Yeah, it's the way we >> Yeah, it's the Yeah, it's the way we It's the technology we It's the technology we It's the technology we >> put a fine point on it. I love clouds.
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>> put a fine point on it. I love clouds. >> put a fine point on it. I love clouds. The clouds are cool. We love clouds. The clouds are cool. We love clouds. The clouds are cool. We love clouds. >> Yeah. And you know, hey, >> Yeah. And you know, hey, >> Yeah. And you know, hey, >> we are clouds. We love them. We love the >> we are clouds. We love them. We love the >> we are clouds. We love them. We love the clouds. clouds. clouds. >> This is the interesting thing um about >> This is the interesting thing um about >> This is the interesting thing um about all of this. Uh did you guys watch the all of this. Uh did you guys watch the all of this. Uh did you guys watch the meta connect thingy where they meta connect thingy where they meta connect thingy where they introduced the introduced the introduced the >> I did. By the way, I've never seen so >> I did. By the way, I've never seen so >> I did. By the way, I've never seen so many fail many fail many fail >> failer >> failer >> failer >> demos in 30 minutes than that event. It >> demos in 30 minutes than that event. It >> demos in 30 minutes than that event. It was incredible. was incredible. was incredible. >> Oh, yeah. I heard that. But yo, >> Oh, yeah. I heard that. But yo, >> Oh, yeah. I heard that. But yo, congratulation. congratulation. congratulation. Finally, an event that is live. And when Finally, an event that is live. And when Finally, an event that is live. And when things crash, this is what a demo should things crash, this is what a demo should things crash, this is what a demo should be. A demo should of new technology be. A demo should of new technology be. A demo should of new technology should crash. If it doesn't crash, should crash. If it doesn't crash, should crash. If it doesn't crash, people are lying to you. people are lying to you. people are lying to you. >> I need to watch that people. >> I need to watch that people. >> I need to watch that people. >> Yeah, cuz you're right. All the >> Yeah, cuz you're right. All the >> Yeah, cuz you're right. All the recording is they said they'd never seen recording is they said they'd never seen recording is they said they'd never seen um you know, Zach look awkward um you know, Zach look awkward um you know, Zach look awkward >> and and he's had some really awkward. >> and and he's had some really awkward. >> and and he's had some really awkward. >> That's a high bar. That's a very very >> That's a high bar. That's a very very >> That's a high bar. That's a very very high bar. high bar. high bar. >> Is it a high bar or a low bar? No. No. >> Is it a high bar or a low bar? No. No. >> Is it a high bar or a low bar? No. No. But it's like when the doesn't work But it's like when the doesn't work But it's like when the doesn't work and he's like I don't know what to do.
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and he's like I don't know what to do. and he's like I don't know what to do. Does not compute. Does not compute. Does not compute. >> I I don't agree with that. I don't When >> I I don't agree with that. I don't When >> I I don't agree with that. I don't When you're doing a product release and you're doing a product release and you're doing a product release and you're demonstrating a product that's you're demonstrating a product that's you're demonstrating a product that's going to be released in like tomorrow going to be released in like tomorrow going to be released in like tomorrow demo better freaking work. And here's demo better freaking work. And here's demo better freaking work. And here's the thing. the thing. the thing. >> The amount No, Dimmitri, listen. The >> The amount No, Dimmitri, listen. The >> The amount No, Dimmitri, listen. The amount of energy that these companies amount of energy that these companies amount of energy that these companies put into making sure these demos don't put into making sure these demos don't put into making sure these demos don't fail on stage is tremendous. fail on stage is tremendous. fail on stage is tremendous. And so And so And so >> I know I've done it. >> I know I've done it. >> I know I've done it. >> When you get up on stage and your demo >> When you get up on stage and your demo >> When you get up on stage and your demo fails and you say, well, you know, it fails and you say, well, you know, it fails and you say, well, you know, it happens. It's like, well, yeah, tell happens. It's like, well, yeah, tell happens. It's like, well, yeah, tell that to the customer that is relying on that to the customer that is relying on that to the customer that is relying on >> No, no. I mean, I I agree with you when >> No, no. I mean, I I agree with you when >> No, no. I mean, I I agree with you when you're talking about washing machines. you're talking about washing machines. you're talking about washing machines. Okay. But when you're talking about Okay. But when you're talking about Okay. But when you're talking about innovation or things that are on the innovation or things that are on the innovation or things that are on the edge, it's okay if they crash. No, but edge, it's okay if they crash. No, but edge, it's okay if they crash. No, but not if they're about to not if they're about to not if they're about to >> Let me finish. >> Let me finish. >> Let me finish. >> Let me finish. Should they sell it at >> Let me finish. Should they sell it at >> Let me finish. Should they sell it at 800 bucks and mask to market? Probably 800 bucks and mask to market? Probably 800 bucks and mask to market? Probably not. not. not. >> This is the mentality problem. MVP. You >> This is the mentality problem. MVP. You >> This is the mentality problem. MVP. You ship stuff that is not ready. Is not ship stuff that is not ready. Is not ship stuff that is not ready. Is not >> Come on. You know these >> Come on. You know these >> Come on. You know these >> I don't >> I don't >> I don't all almost all I I would have to say all all almost all I I would have to say all all almost all I I would have to say all of the demos failed. I mean, it's of the demos failed. I mean, it's of the demos failed. I mean, it's ridiculous. I've never seen anything ridiculous. I've never seen anything ridiculous. I've never seen anything like that before. Do does anyone like that before. Do does anyone like that before. Do does anyone remember the uh CES Bill Gates's keynote remember the uh CES Bill Gates's keynote remember the uh CES Bill Gates's keynote from 2005? CES that was uh how many from 2005? CES that was uh how many from 2005? CES that was uh how many demos failed there and then apparently demos failed there and then apparently demos failed there and then apparently the the uh the culprit there cuz I was the the uh the culprit there cuz I was the the uh the culprit there cuz I was there in 2006 with Bill Gates at his
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there in 2006 with Bill Gates at his there in 2006 with Bill Gates at his demo uh when they were preparing for demo uh when they were preparing for demo uh when they were preparing for that and boy that was button down. But that and boy that was button down. But that and boy that was button down. But 2005 the apparently all the demos failed 2005 the apparently all the demos failed 2005 the apparently all the demos failed because all these infrared sensors and because all these infrared sensors and because all these infrared sensors and things. There were people like taking things. There were people like taking things. There were people like taking pictures in the audience and that was pictures in the audience and that was pictures in the audience and that was like triggering like infrared sensors like triggering like infrared sensors like triggering like infrared sensors for all these equipment and things like for all these equipment and things like for all these equipment and things like that. And so uh there was a huge if you that. And so uh there was a huge if you that. And so uh there was a huge if you go on YouTube you can see it. But go on YouTube you can see it. But go on YouTube you can see it. But >> yeah, >> yeah, >> yeah, >> it was a disaster. Such a disaster. >> it was a disaster. Such a disaster. >> it was a disaster. Such a disaster. >> You never know if you're going to be >> You never know if you're going to be >> You never know if you're going to be that guy on Star Trek that's wearing the that guy on Star Trek that's wearing the that guy on Star Trek that's wearing the red shirt when you beam down. red shirt when you beam down. red shirt when you beam down. >> Yeah, >> Yeah, >> Yeah, >> right. >> right. >> right. >> Bill Gates's demo person had a red shirt >> Bill Gates's demo person had a red shirt >> Bill Gates's demo person had a red shirt on. And it's like, oh yeah, cuz I I on. And it's like, oh yeah, cuz I I on. And it's like, oh yeah, cuz I I certainly I remember an older one like certainly I remember an older one like certainly I remember an older one like it was a Windows 98 demo and the and the it was a Windows 98 demo and the and the it was a Windows 98 demo and the and the PM next to Bill and it's blue screened PM next to Bill and it's blue screened PM next to Bill and it's blue screened and all that stuff and it's and it's and all that stuff and it's and it's and all that stuff and it's and it's like have this person liquidated like have this person liquidated like have this person liquidated immediately. >> Yeah. And no, here's >> Yeah. And no, here's >> disappear into the bushes, right, with >> disappear into the bushes, right, with >> disappear into the bushes, right, with that. Here's the other thing that you that. Here's the other thing that you that. Here's the other thing that you need to be cognizant of here because a need to be cognizant of here because a need to be cognizant of here because a lot of those demos for the AR glasses, lot of those demos for the AR glasses, lot of those demos for the AR glasses, the AI is supposed to be on device.
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the AI is supposed to be on device. the AI is supposed to be on device. >> Yeah, it is. >> Yeah, it is. >> Yeah, it is. >> And so if that's the case, then you know >> And so if that's the case, then you know >> And so if that's the case, then you know why do you put things on device? It's why do you put things on device? It's why do you put things on device? It's for reliability, latency, security, for reliability, latency, security, for reliability, latency, security, privacy, blah blah, all that stuff. And privacy, blah blah, all that stuff. And privacy, blah blah, all that stuff. And um and so I don't know. And you know, um and so I don't know. And you know, um and so I don't know. And you know, Demetri, you're going to make a point. Demetri, you're going to make a point. Demetri, you're going to make a point. You should make the point. So, You should make the point. So, You should make the point. So, >> washing machines. >> washing machines. >> washing machines. >> Washing machines. >> Washing machines. >> Washing machines. >> That's what Demetri said. Washing >> That's what Demetri said. Washing >> That's what Demetri said. Washing machines. Dishwasher. Laundry. machines. Dishwasher. Laundry. machines. Dishwasher. Laundry. >> Simpler. >> Simpler. >> Simpler. >> Much simpler. You don't walk around with >> Much simpler. You don't walk around with >> Much simpler. You don't walk around with a washing machine. And you don't try to a washing machine. And you don't try to a washing machine. And you don't try to make calls on it, right? Or at least the make calls on it, right? Or at least the make calls on it, right? Or at least the one that I one that I one that I >> mine. Yeah. I talk to my washing >> mine. Yeah. I talk to my washing >> mine. Yeah. I talk to my washing machine. machine. machine. >> I mean, okay. You guys don't take me >> I mean, okay. You guys don't take me >> I mean, okay. You guys don't take me wrong. I was just making that it's wrong. I was just making that it's wrong. I was just making that it's refreshing to see a nonpolished demo on refreshing to see a nonpolished demo on refreshing to see a nonpolished demo on tech. That's a tech. That's a tech. That's a >> Oh, yeah. No. And and meta. they >> Oh, yeah. No. And and meta. they >> Oh, yeah. No. And and meta. they actually it doesn't do it. actually it doesn't do it. actually it doesn't do it. >> And and I'm totally with you with MVPs. >> And and I'm totally with you with MVPs. >> And and I'm totally with you with MVPs. I always I mean actually as a hacker I I always I mean actually as a hacker I I always I mean actually as a hacker I love MVPs because it's maximum love MVPs because it's maximum love MVPs because it's maximum vulnerability potential. So it's always vulnerability potential. So it's always vulnerability potential. So it's always great. But great. But great. But >> yeah. >> yeah. >> yeah. >> Yeah. It's um >> Yeah. It's um >> Yeah. It's um >> but I think savvy savvy uh folks you >> but I think savvy savvy uh folks you >> but I think savvy savvy uh folks you know when they do these tech demos that know when they do these tech demos that know when they do these tech demos that are more visionary will couch it in like are more visionary will couch it in like are more visionary will couch it in like okay I'm going to run this demo you know okay I'm going to run this demo you know okay I'm going to run this demo you know we'll see what happens and sets we'll see what happens and sets we'll see what happens and sets expectations if it's a visionact expectations if it's a visionact expectations if it's a visionact and that's authentic and good but I and that's authentic and good but I and that's authentic and good but I think if you're about to take credit think if you're about to take credit think if you're about to take credit cards for something you know the demo cards for something you know the demo cards for something you know the demo should work should work should work >> or you're telling people you can wear >> or you're telling people you can wear >> or you're telling people you can wear this and this and this and >> but you know your your guide dogm
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>> but you know your your guide dogm >> but you know your your guide dogm But it's your the good thing on the But it's your the good thing on the But it's your the good thing on the consumer side is actually because it consumer side is actually because it consumer side is actually because it failed. It made people think, "Oh, failed. It made people think, "Oh, failed. It made people think, "Oh, should I really take my credit card?" should I really take my credit card?" should I really take my credit card?" Because if you have a fake demo that Because if you have a fake demo that Because if you have a fake demo that gives you the illusion that works. gives you the illusion that works. gives you the illusion that works. >> No, a fake demo and then taking credit >> No, a fake demo and then taking credit >> No, a fake demo and then taking credit card. Right. Right. card. Right. Right. card. Right. Right. >> So, >> So, >> So, >> yeah. >> yeah. >> yeah. >> Well, you know, >> Well, you know, >> Well, you know, >> you know, I felt like a movie tiein to >> you know, I felt like a movie tiein to >> you know, I felt like a movie tiein to this. I I'm sorry. I have this problem this. I I'm sorry. I have this problem this. I I'm sorry. I have this problem when you said the washing machine. I when you said the washing machine. I when you said the washing machine. I remember in Apollo 13, you know, and remember in Apollo 13, you know, and remember in Apollo 13, you know, and they're up there they're up there they're up there >> and that scene went, you know, it's a >> and that scene went, you know, it's a >> and that scene went, you know, it's a gym level and everybody's up there. gym level and everybody's up there. gym level and everybody's up there. Grandma, Grandma, Grandma, >> so his wife and daughter go to his, you >> so his wife and daughter go to his, you >> so his wife and daughter go to his, you know, Jim's mom. She's an old lady in a know, Jim's mom. She's an old lady in a know, Jim's mom. She's an old lady in a home or something and they're breaking home or something and they're breaking home or something and they're breaking the bad news that their spaceship's the bad news that their spaceship's the bad news that their spaceship's broken and whatever. And then and they broken and whatever. And then and they broken and whatever. And then and they think it's so sad and that it's going to think it's so sad and that it's going to think it's so sad and that it's going to be heartbreaking for the mom. Oh no. be heartbreaking for the mom. Oh no. be heartbreaking for the mom. Oh no. She's like, if they can make a washing She's like, if they can make a washing She's like, if they can make a washing machine fly, my son could land it. like machine fly, my son could land it. like machine fly, my son could land it. like Jimmy. Jimmy. Jimmy. >> She was so She was so positive. She was >> She was so She was so positive. She was >> She was so She was so positive. She was like not afraid at all. It's like my son like not afraid at all. It's like my son like not afraid at all. It's like my son is going to bring that spaceship home.
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is going to bring that spaceship home. is going to bring that spaceship home. I'm not worried a bit. I'm not worried a bit. I'm not worried a bit. >> Love that. >> Love that. >> Love that. >> Love that. Love that spirit. >> Love that. Love that spirit. >> Love that. Love that spirit. >> Love that spirit. That pioneering >> Love that spirit. That pioneering >> Love that spirit. That pioneering spirit. We're going to go for it, man. spirit. We're going to go for it, man. spirit. We're going to go for it, man. And we're going to find a way to make it And we're going to find a way to make it And we're going to find a way to make it happen. Wow. happen. Wow. happen. Wow. >> Sorry to break the party again. That was >> Sorry to break the party again. That was >> Sorry to break the party again. That was a different America. But a different America. But a different America. But >> well, the 60s, man. >> well, the 60s, man. >> well, the 60s, man. >> 60s were a great time. A lot of people, >> 60s were a great time. A lot of people, >> 60s were a great time. A lot of people, younger people don't know or if they see younger people don't know or if they see younger people don't know or if they see something about the ' 60s, they probably something about the ' 60s, they probably something about the ' 60s, they probably think it's like peace and love and all think it's like peace and love and all think it's like peace and love and all that kind of stuff and protests for that kind of stuff and protests for that kind of stuff and protests for Vietnam. But it was also a different in Vietnam. But it was also a different in Vietnam. But it was also a different in it where how you can have two Americas it where how you can have two Americas it where how you can have two Americas at the same time. at the same time. at the same time. >> Yeah. >> Yeah. >> Yeah. >> Maybe we have that now. I don't know. >> Maybe we have that now. I don't know. >> Maybe we have that now. I don't know. But there's there's the anti-war piece But there's there's the anti-war piece But there's there's the anti-war piece and you had the rise, you know, and then and you had the rise, you know, and then and you had the rise, you know, and then but at the same time more innovation but at the same time more innovation but at the same time more innovation happened, more going for it happened happened, more going for it happened happened, more going for it happened ever, you know. We went to the moon and ever, you know. We went to the moon and ever, you know. We went to the moon and back. Who done that since then? Who has back. Who done that since then? Who has back. Who done that since then? Who has done that since then? With the old AI done that since then? With the old AI done that since then? With the old AI tech. tech. tech. >> And then now they have like videos >> And then now they have like videos >> And then now they have like videos talking about, oh wow, it's really hard talking about, oh wow, it's really hard talking about, oh wow, it's really hard to go to God. to go to God. to go to God. >> What? >> What? >> What? >> We don't know how to get back to the >> We don't know how to get back to the >> We don't know how to get back to the moon.
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moon. moon. >> We did that 50 years ago. And with like >> We did that 50 years ago. And with like >> We did that 50 years ago. And with like people and paper and pencil and abacus, people and paper and pencil and abacus, people and paper and pencil and abacus, >> we're going to the moon. That's the easy >> we're going to the moon. That's the easy >> we're going to the moon. That's the easy part. It's the coming back, you know. part. It's the coming back, you know. part. It's the coming back, you know. >> Yeah. It's like I asked G chap GBT how >> Yeah. It's like I asked G chap GBT how >> Yeah. It's like I asked G chap GBT how to build a spaceship and program to get to build a spaceship and program to get to build a spaceship and program to get me to the moon. Meanwhile, people are me to the moon. Meanwhile, people are me to the moon. Meanwhile, people are like, you're right. They had slide rules like, you're right. They had slide rules like, you're right. They had slide rules and they're writing code by hand and and they're writing code by hand and and they're writing code by hand and they freaking did it. they freaking did it. they freaking did it. >> And they had physical twins >> And they had physical twins >> And they had physical twins >> at that time, >> at that time, >> at that time, >> right? >> right? >> right? >> Yeah. >> Yeah. >> Yeah. >> Well, I had actually I had a very long >> Well, I had actually I had a very long >> Well, I had actually I had a very long debate with Michael Greavves about that. debate with Michael Greavves about that. debate with Michael Greavves about that. was saying, "Oh, there's absolutely was saying, "Oh, there's absolutely was saying, "Oh, there's absolutely nothing to do with digital twin in in in nothing to do with digital twin in in in nothing to do with digital twin in in in the Apple missions." And I would the Apple missions." And I would the Apple missions." And I would disagree. There was telemetry, so you disagree. There was telemetry, so you disagree. There was telemetry, so you had a digital representation was going had a digital representation was going had a digital representation was going on in the space now. Yeah. It was not on in the space now. Yeah. It was not on in the space now. Yeah. It was not the exact blah blah thing, but because the exact blah blah thing, but because the exact blah blah thing, but because we had limited technology at that point, we had limited technology at that point, we had limited technology at that point, but there was Yeah. And there was simulation there was Yeah. And there was simulation based on the telemetry. based on the telemetry. based on the telemetry. >> Yeah. At a minimum, at a minimum, we >> Yeah. At a minimum, at a minimum, we >> Yeah. At a minimum, at a minimum, we certainly had IoT. It wasn't internet certainly had IoT. It wasn't internet certainly had IoT. It wasn't internet based. It wasn't like we think of it, based. It wasn't like we think of it, based. It wasn't like we think of it, but it was telemetry and sending but it was telemetry and sending but it was telemetry and sending commands to spaceships to change. It was commands to spaceships to change. It was commands to spaceships to change. It was just all proprietary, right?
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just all proprietary, right? just all proprietary, right? >> Uh probably actually much more efficient >> Uh probably actually much more efficient >> Uh probably actually much more efficient cuz remember back then people wrote code cuz remember back then people wrote code cuz remember back then people wrote code in assembler and they could have a in assembler and they could have a in assembler and they could have a spaceship go to the moon and back in spaceship go to the moon and back in spaceship go to the moon and back in like maybe like maybe like maybe >> 4 kilob 4 kilob. >> 4 kilob 4 kilob. >> 4 kilob 4 kilob. >> Nobody today knows how to do that. >> Nobody today knows how to do that. >> Nobody today knows how to do that. >> Yeah. >> Yeah. >> Yeah. >> If you're interesting, if our listeners >> If you're interesting, if our listeners >> If you're interesting, if our listeners are interesting in the subject, there's are interesting in the subject, there's are interesting in the subject, there's actually a fantastic YouTube resources. actually a fantastic YouTube resources. actually a fantastic YouTube resources. The guy is called Curious Mark and he The guy is called Curious Mark and he The guy is called Curious Mark and he and his team have actually rebuilt a and his team have actually rebuilt a and his team have actually rebuilt a Apollo guidance computer and they've Apollo guidance computer and they've Apollo guidance computer and they've also rebuilt the whole communication also rebuilt the whole communication also rebuilt the whole communication systems. So with the data flow, with the systems. So with the data flow, with the systems. So with the data flow, with the video, with the voice and everything and video, with the voice and everything and video, with the voice and everything and it's a very interesting actually it's a very interesting actually it's a very interesting actually combination of good old uh you know very combination of good old uh you know very combination of good old uh you know very high frequency analog based high frequency analog based high frequency analog based communication and digital. So it's I communication and digital. So it's I communication and digital. So it's I mean if you're a nerd in space, this is mean if you're a nerd in space, this is mean if you're a nerd in space, this is a fantastic channel. It really goes into a fantastic channel. It really goes into a fantastic channel. It really goes into the details. the details. the details. Super nerds in space. Space space. Super nerds in space. Space space. Super nerds in space. Space space. >> Yeah. >> Yeah. >> Yeah. >> Yeah. Actually, yeah. Demetri, you're >> Yeah. Actually, yeah. Demetri, you're >> Yeah. Actually, yeah. Demetri, you're sort of You're right. sort of You're right. sort of You're right. >> Demetri, are you going to volunteer? >> Demetri, are you going to volunteer? >> Demetri, are you going to volunteer? >> Huh?
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>> Huh? >> Huh? >> Are you Demetri? Are you going to be one >> Are you Demetri? Are you going to be one >> Are you Demetri? Are you going to be one of the volunteers to go to Mars? Yeah. of the volunteers to go to Mars? Yeah. of the volunteers to go to Mars? Yeah. On Starship. On Starship. On Starship. >> No, no, no, no, no, no. But, but I have >> No, no, no, no, no, no. But, but I have >> No, no, no, no, no, no. But, but I have a long list of people I want to a long list of people I want to a long list of people I want to recommend. recommend. recommend. >> Yes, >> Yes, >> Yes, I think we all have that list. By the I think we all have that list. By the I think we all have that list. By the way, related but not uh related is uh way, related but not uh related is uh way, related but not uh related is uh the Space Balls 2 movie is coming out. the Space Balls 2 movie is coming out. the Space Balls 2 movie is coming out. >> Oh. >> Oh. >> Oh. >> Oh, for this holiday, but it's in >> Oh, for this holiday, but it's in >> Oh, for this holiday, but it's in production right now. Yes. Space Balls production right now. Yes. Space Balls production right now. Yes. Space Balls 2. 2. 2. >> I love it. >> I love it. >> I love it. >> May the Schwarz be with you. >> May the Schwarz be with you. >> May the Schwarz be with you. >> May the Schwarz be with you. Abs. I'm so >> May the Schwarz be with you. Abs. I'm so >> May the Schwarz be with you. Abs. I'm so excited to hear about that. That's excited to hear about that. That's excited to hear about that. That's awesome. awesome. awesome. >> Scary what it's going to be, but >> Scary what it's going to be, but >> Scary what it's going to be, but >> that's so cool. I love that. >> that's so cool. I love that. >> that's so cool. I love that. >> I don't I mean, it's gonna be hard to >> I don't I mean, it's gonna be hard to >> I don't I mean, it's gonna be hard to beat the first one. beat the first one. beat the first one. >> What is the What is the best sci-fi >> What is the What is the best sci-fi >> What is the What is the best sci-fi movie ever? Oh, Oh, >> I give you I tell you mine. >> I give you I tell you mine. >> I give you I tell you mine. >> You tell us. >> You tell us. >> You tell us. >> Very Dimmetry 2001 Space Odyssey. >> Very Dimmetry 2001 Space Odyssey. >> Very Dimmetry 2001 Space Odyssey. >> That's a good one. >> That's a good one. >> That's a good one. >> And do you know why? Do you know why >> And do you know why? Do you know why >> And do you know why? Do you know why it's the best one to my personal it's the best one to my personal it's the best one to my personal dreadant? dreadant? dreadant? >> No. No sound in space. >> No. No sound in space. >> No. No sound in space. >> No sound in space.
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>> No sound in space. >> No sound in space. >> There we go. >> There we go. >> There we go. >> I was going to say Bladeunner is one of >> I was going to say Bladeunner is one of >> I was going to say Bladeunner is one of my faves. my faves. my faves. >> Yeah, Bladeunner is a great one. just >> Yeah, Bladeunner is a great one. just >> Yeah, Bladeunner is a great one. just because I think it was one of the first because I think it was one of the first because I think it was one of the first ones to really show a future that was ones to really show a future that was ones to really show a future that was not all shiny and clean and it was not all shiny and clean and it was not all shiny and clean and it was >> not entirely digital either, right? >> not entirely digital either, right? >> not entirely digital either, right? Because the replicants Because the replicants Because the replicants >> Yeah, it wasn't. >> Yeah, it wasn't. >> Yeah, it wasn't. >> It was very >> It was very >> It was very >> Yeah, I like that show. I like that. >> Yeah, I like that show. I like that. >> Yeah, I like that show. I like that. >> That's a great one. That's a great one. >> That's a great one. That's a great one. >> That's a great one. That's a great one. >> I wasn't as much of a fan of the >> I wasn't as much of a fan of the >> I wasn't as much of a fan of the followup one. followup one. followup one. >> So, I was listening to, you know, my >> So, I was listening to, you know, my >> So, I was listening to, you know, my favorite podcasts are or Allin as well favorite podcasts are or Allin as well favorite podcasts are or Allin as well as Moonshots. I think on all-in they as Moonshots. I think on all-in they as Moonshots. I think on all-in they were all talking about, you know, some were all talking about, you know, some were all talking about, you know, some of the advances in the making video and of the advances in the making video and of the advances in the making video and stuff like that. And they were talking stuff like that. And they were talking stuff like that. And they were talking about um science fiction books that they about um science fiction books that they about um science fiction books that they loved that were never made into a movie. loved that were never made into a movie. loved that were never made into a movie. And so may maybe now you could upload And so may maybe now you could upload And so may maybe now you could upload the text of the book and say make this the text of the book and say make this the text of the book and say make this into a fulllength motion picture, you into a fulllength motion picture, you into a fulllength motion picture, you know, and then you could tweak it and know, and then you could tweak it and know, and then you could tweak it and stuff like that to make a sci-fi movie stuff like that to make a sci-fi movie stuff like that to make a sci-fi movie of your favorite sci-fi book of your favorite sci-fi book of your favorite sci-fi book >> from the 50s or something. Well, they >> from the 50s or something. Well, they >> from the 50s or something. Well, they have the notebook LM where you can have the notebook LM where you can have the notebook LM where you can upload a white paper and turn into a upload a white paper and turn into a upload a white paper and turn into a podcast conversational podcast. So, podcast conversational podcast. So, podcast conversational podcast. So, >> yeah, that's cool.
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>> yeah, that's cool. >> yeah, that's cool. >> You know, if you could do that and say >> You know, if you could do that and say >> You know, if you could do that and say make this into a movie. I always wanted make this into a movie. I always wanted make this into a movie. I always wanted to see a good make um um like movie of to see a good make um um like movie of to see a good make um um like movie of Stranger in a Strange Land Heinland, you Stranger in a Strange Land Heinland, you Stranger in a Strange Land Heinland, you know. know. know. >> Yeah, I love him. >> Yeah, I love him. >> Yeah, I love him. >> Such a crazy book. >> Such a crazy book. >> Such a crazy book. >> Yeah. >> Yeah. >> Yeah. >> And if someone could really do it, >> And if someone could really do it, >> And if someone could really do it, right, that would be right, that would be right, that would be >> I am such a fan of him. What a great >> I am such a fan of him. What a great >> I am such a fan of him. What a great writer. writer. writer. >> Yeah, that would be a good one. But >> Yeah, that would be a good one. But >> Yeah, that would be a good one. But >> Oh, yeah. And then the other thing they >> Oh, yeah. And then the other thing they >> Oh, yeah. And then the other thing they talked about was or there were sci-fi talked about was or there were sci-fi talked about was or there were sci-fi movies that they just did a shitty job movies that they just did a shitty job movies that they just did a shitty job and I want to remake it and then and I want to remake it and then and I want to remake it and then somebody jumped in and said I want to somebody jumped in and said I want to somebody jumped in and said I want to remake Conan the Barbarian. remake Conan the Barbarian. remake Conan the Barbarian. >> I don't know. >> I don't know. >> I don't know. >> It's already been remade, dude. What are >> It's already been remade, dude. What are >> It's already been remade, dude. What are you talking about? you talking about? you talking about? >> I know. I know. >> I know. I know. >> I know. I know. >> Just Just watch Just CNN. >> Just Just watch Just CNN. >> Just Just watch Just CNN. >> Straight to video >> Straight to video >> Straight to video DVD. Straight to DVD. Do they still DVD. Straight to DVD. Do they still DVD. Straight to DVD. Do they still >> straight to DVD? Yes. Yes. See, young >> straight to DVD? Yes. Yes. See, young >> straight to DVD? Yes. Yes. See, young people don't know what it means when we people don't know what it means when we people don't know what it means when we say straight to video. say straight to video. say straight to video. >> They don't even know what video is or >> They don't even know what video is or >> They don't even know what video is or DVD. DVD. DVD. >> Well, I don't think they know DVD >> Well, I don't think they know DVD >> Well, I don't think they know DVD either. It's It's streaming now. either. It's It's streaming now. either. It's It's streaming now. >> They don't know the the nightmare of >> They don't know the the nightmare of >> They don't know the the nightmare of that flashing 12:00 clock, right? VHS.
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that flashing 12:00 clock, right? VHS. that flashing 12:00 clock, right? VHS. >> Rewind the tape. >> Rewind the tape. >> Rewind the tape. >> Rewinding tapes. Be kind and rewind. >> Rewinding tapes. Be kind and rewind. >> Rewinding tapes. Be kind and rewind. >> Here's the here's rule number one in >> Here's the here's rule number one in >> Here's the here's rule number one in remakes. Don't ever remake an Arnold remakes. Don't ever remake an Arnold remakes. Don't ever remake an Arnold Schwarzenegger movie, Schwarzenegger movie, Schwarzenegger movie, right? because they all end up sucking. right? because they all end up sucking. right? because they all end up sucking. Why? Why? Why? >> Because >> Because >> Because I I really think Arnold is a very very I I really think Arnold is a very very I I really think Arnold is a very very unique unique unique >> personality. >> personality. >> personality. >> Yeah. >> Yeah. >> Yeah. >> Have to have those oneliners delivered >> Have to have those oneliners delivered >> Have to have those oneliners delivered in that Austrian accent. in that Austrian accent. in that Austrian accent. >> Otherwise, >> Otherwise, >> Otherwise, >> you know, >> you know, >> you know, >> remember when I said >> remember when I said >> remember when I said >> pull off total recall? That was And you >> pull off total recall? That was And you >> pull off total recall? That was And you know, know, know, >> total recall. >> total recall. >> total recall. >> Remember when I told you I'd kill you >> Remember when I told you I'd kill you >> Remember when I told you I'd kill you last? Yeah, that's right. You did. I last? Yeah, that's right. You did. I last? Yeah, that's right. You did. I lied. lied. lied. >> Or I mean, come on. Stick around. I >> Or I mean, come on. Stick around. I >> Or I mean, come on. Stick around. I mean, yes. Stick around. mean, yes. Stick around. mean, yes. Stick around. >> That was Commando, right? >> That was Commando, right? >> That was Commando, right? >> Commando Commando had a lot of one life. >> Commando Commando had a lot of one life. >> Commando Commando had a lot of one life. >> Yeah. I mean, yeah. Can you imagine if >> Yeah. I mean, yeah. Can you imagine if >> Yeah. I mean, yeah. Can you imagine if they tried to repake Commando?
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they tried to repake Commando? they tried to repake Commando? >> Well, Shan Conoy is very famous for some >> Well, Shan Conoy is very famous for some >> Well, Shan Conoy is very famous for some of this quote as well. of this quote as well. of this quote as well. There's you can think about in the Jezeb There's you can think about in the Jezeb There's you can think about in the Jezeb movie that I'm not going to mention in movie that I'm not going to mention in movie that I'm not going to mention in this show, but uh but if you know enough this show, but uh but if you know enough this show, but uh but if you know enough about Jon movies, it's in the the one about Jon movies, it's in the the one about Jon movies, it's in the the one with a black man. You should um you with a black man. You should um you with a black man. You should um you should see what I think about. should see what I think about. should see what I think about. >> In fact, in fact, we're going to remake >> In fact, in fact, we're going to remake >> In fact, in fact, we're going to remake James Bond movies where Dimmitri is the James Bond movies where Dimmitri is the James Bond movies where Dimmitri is the star where he's James Bond. star where he's James Bond. star where he's James Bond. >> I you know what I mean? I show you >> I you know what I mean? I show you >> I you know what I mean? I show you something next week. I have to go now. I something next week. I have to go now. I something next week. I have to go now. I have to go up early, but I show you have to go up early, but I show you have to go up early, but I show you something on that topic next week. That something on that topic next week. That something on that topic next week. That was in his tuxedo. was in his tuxedo. was in his tuxedo. >> That was done by some friend of mine >> That was done by some friend of mine >> That was done by some friend of mine when I was in the UK. Anyway, I have to when I was in the UK. Anyway, I have to when I was in the UK. Anyway, I have to drop today, but guys, >> good. >> good. >> Absolutely. >> Absolutely. >> Absolutely. >> You know, when I think of the James Bond >> You know, when I think of the James Bond >> You know, when I think of the James Bond movies and people always talk about movies and people always talk about movies and people always talk about what's the best one and who's the best what's the best one and who's the best what's the best one and who's the best James Bond and you know, and I've always James Bond and you know, and I've always James Bond and you know, and I've always been like, oh, Sean Connory is the best. been like, oh, Sean Connory is the best. been like, oh, Sean Connory is the best. And yet And yet And yet and yet arguably one of the best movie and yet arguably one of the best movie and yet arguably one of the best movie James Bond movies was Live and Let Die James Bond movies was Live and Let Die James Bond movies was Live and Let Die and and and >> the adult.
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>> the adult. >> the adult. >> It was Roger Moore. You know >> It was Roger Moore. You know >> It was Roger Moore. You know >> Roger Moore. >> Roger Moore. >> Roger Moore. >> It was Roger Moore. Live >> It was Roger Moore. Live >> It was Roger Moore. Live >> the spy who loved me. Was he the spy? >> the spy who loved me. Was he the spy? >> the spy who loved me. Was he the spy? >> Oh yeah. Yeah. But live die. That was >> Oh yeah. Yeah. But live die. That was >> Oh yeah. Yeah. But live die. That was the whole remember the whole voodoo the whole remember the whole voodoo the whole remember the whole voodoo yappo and New Orleans. yappo and New Orleans. yappo and New Orleans. >> No, I'm a big Roger War fan. I think. >> No, I'm a big Roger War fan. I think. >> No, I'm a big Roger War fan. I think. >> Yeah. >> Yeah. >> Yeah. >> You remember the beginning of that >> You remember the beginning of that >> You remember the beginning of that movie? They're doing the funeral movie? They're doing the funeral movie? They're doing the funeral >> going down the street in New Orleans, >> going down the street in New Orleans, >> going down the street in New Orleans, you know, and then they killed the guy you know, and then they killed the guy you know, and then they killed the guy and then they put him in the coffin that and then they put him in the coffin that and then they put him in the coffin that they were doing the little procession they were doing the little procession they were doing the little procession and then they start doing the jazz. I and then they start doing the jazz. I and then they start doing the jazz. I was like was like was like >> very clever. Very clever. There's some >> very clever. Very clever. There's some >> very clever. Very clever. There's some silly, ridiculous Roger Moore James Bond silly, ridiculous Roger Moore James Bond silly, ridiculous Roger Moore James Bond movies too, like Moonrakaker. movies too, like Moonrakaker. movies too, like Moonrakaker. >> Moonrakaker. >> Moonrakaker. >> Moonrakaker. >> That was super corny. >> That was super corny. >> That was super corny. >> Remember Jaws? Remember that guy, >> Remember Jaws? Remember that guy, >> Remember Jaws? Remember that guy, Richard Keel, I think his name was like Richard Keel, I think his name was like Richard Keel, I think his name was like >> Yeah, right. >> Yeah, right. >> Yeah, right. >> but funny silly. I I like >> but funny silly. I I like >> but funny silly. I I like >> funny silly. Funny silly. You're right. >> funny silly. Funny silly. You're right. >> funny silly. Funny silly. You're right. >> I I I always thought Roger Moore's holy >> I I I always thought Roger Moore's holy >> I I I always thought Roger Moore's holy crap look was always hilarious, you crap look was always hilarious, you crap look was always hilarious, you know. That, know. That, know. That, >> you know, very subtle holy give me give >> you know, very subtle holy give me give >> you know, very subtle holy give me give me the hell out of here type of look, me the hell out of here type of look, me the hell out of here type of look, >> right?
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>> right? >> right? >> Unique, you know. >> Unique, you know. >> Unique, you know. >> Yeah. Yeah. Yeah. Yeah. Are we going to >> Yeah. Yeah. Yeah. Yeah. Are we going to >> Yeah. Yeah. Yeah. Yeah. Are we going to we're going to be getting some new James we're going to be getting some new James we're going to be getting some new James Bond from Amazon. Is that right? Amazon Bond from Amazon. Is that right? Amazon Bond from Amazon. Is that right? Amazon owns owns owns >> I think it was uh Yeah. Jeff Bezos as >> I think it was uh Yeah. Jeff Bezos as >> I think it was uh Yeah. Jeff Bezos as James Bond. I think is going to be James Bond. I think is going to be James Bond. I think is going to be >> You mean kind of like what they did? >> You mean kind of like what they did? >> You mean kind of like what they did? >> I would prefer to have Jeff Bezos as >> I would prefer to have Jeff Bezos as >> I would prefer to have Jeff Bezos as Blofeld, you know. Blofeld, you know. Blofeld, you know. >> Yeah. There you go. >> Yeah. There you go. >> Yeah. There you go. >> That's what I want. >> That's what I want. >> That's what I want. >> What happened to the Lord? >> What happened to the Lord? >> What happened to the Lord? >> I want him I want him petting the cat. >> I want him I want him petting the cat. >> I want him I want him petting the cat. >> The white cat. >> The white cat. >> The white cat. >> The white cat >> The white cat >> The white cat with a diamond bracelet necklace. with a diamond bracelet necklace. with a diamond bracelet necklace. >> That's right. It says Prime on it. >> That's right. It says Prime on it. >> That's right. It says Prime on it. >> Yeah, >> Yeah, >> Yeah, >> I love it. That would be awesome. >> I love it. That would be awesome. >> I love it. That would be awesome. >> Subtle. >> Subtle. >> Subtle. >> Yeah, >> Yeah, >> Yeah, >> little subtle stuff like that. Um, any >> little subtle stuff like that. Um, any >> little subtle stuff like that. Um, any other cool tech news happened this week? other cool tech news happened this week? other cool tech news happened this week? >> Oh, jeez. Come on, dude. Intel. >> Oh, jeez. Come on, dude. Intel. >> Oh, jeez. Come on, dude. Intel. >> Intel and video. >> Intel and video. >> Intel and video. >> Blood transfusion from >> Blood transfusion from >> Blood transfusion from >> Intelvidia or >> Intelvidia or >> Intelvidia or >> what do we think about that? >> what do we think about that? >> what do we think about that? >> Intel and Vel. I don't know. >> Intel and Vel. I don't know. >> Intel and Vel. I don't know. >> Oh my god. >> Oh my god. >> Oh my god. >> Well, it reminds me of the old Microsoft >> Well, it reminds me of the old Microsoft >> Well, it reminds me of the old Microsoft Apple bailout, you know, back in the Apple bailout, you know, back in the Apple bailout, you know, back in the day. day. day. >> That's what everyone keeps saying. Yeah.
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>> That's what everyone keeps saying. Yeah. >> That's what everyone keeps saying. Yeah. >> Build through Steve some money. >> Build through Steve some money. >> Build through Steve some money. >> Yeah. >> Yeah. >> Yeah. >> But it kind of makes sense in a certain >> But it kind of makes sense in a certain >> But it kind of makes sense in a certain way like Intel's got all this, you know, way like Intel's got all this, you know, way like Intel's got all this, you know, legacy data center build out and if legacy data center build out and if legacy data center build out and if there's a way and Nvidia to to kind of there's a way and Nvidia to to kind of there's a way and Nvidia to to kind of help them and also basically I don't help them and also basically I don't help them and also basically I don't know, you know, acquire a bunch of that know, you know, acquire a bunch of that know, you know, acquire a bunch of that that real estate, you know, kind of that real estate, you know, kind of that real estate, you know, kind of makes sense. makes sense. makes sense. >> Do you think it will lead to >> Do you think it will lead to >> Do you think it will lead to >> GPUs being built in A14? >> GPUs being built in A14? >> GPUs being built in A14? boundary or No, boundary or No, boundary or No, >> I don't like it. >> I don't like it. >> I don't like it. >> I mean, because it's like I'm like, what >> I mean, because it's like I'm like, what >> I mean, because it's like I'm like, what is the point of doing it and bailing him is the point of doing it and bailing him is the point of doing it and bailing him out? I mean, I I get on the one hand, out? I mean, I I get on the one hand, out? I mean, I I get on the one hand, GPUs, Nvidia GPUs don't live in a GPUs, Nvidia GPUs don't live in a GPUs, Nvidia GPUs don't live in a vacuum. They live in a server that's vacuum. They live in a server that's vacuum. They live in a server that's often x86 often x86 often x86 >> Intel Xeon processor. >> Intel Xeon processor. >> Intel Xeon processor. >> That's right. That's right. And um and >> That's right. That's right. And um and >> That's right. That's right. And um and so you know and I'm sure that Intel so you know and I'm sure that Intel so you know and I'm sure that Intel would love their foundry aspirations to would love their foundry aspirations to would love their foundry aspirations to come true and have other people building come true and have other people building come true and have other people building their chips.
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their chips. their chips. >> But but the problem is is um I already >> But but the problem is is um I already >> But but the problem is is um I already wrote a piece on this. Um but you know wrote a piece on this. Um but you know wrote a piece on this. Um but you know the problem is is you know the problem is is you know the problem is is you know Nvidia has their own CPUs ARM base right Nvidia has their own CPUs ARM base right Nvidia has their own CPUs ARM base right Grace everyone you know but they also Grace everyone you know but they also Grace everyone you know but they also have upcoming Vera all these are very have upcoming Vera all these are very have upcoming Vera all these are very capable um really purpose designed uh capable um really purpose designed uh capable um really purpose designed uh CPUs that support AI supercomputing so CPUs that support AI supercomputing so CPUs that support AI supercomputing so they're perfect for all these racks and they're perfect for all these racks and they're perfect for all these racks and >> clusters that leverage average um Nvidia >> clusters that leverage average um Nvidia >> clusters that leverage average um Nvidia native stuff and you know obviously native stuff and you know obviously native stuff and you know obviously Nvidia is going to promote anything Nvidia is going to promote anything Nvidia is going to promote anything that's like full Nvidia stack even that's like full Nvidia stack even that's like full Nvidia stack even though they have like they announced though they have like they announced though they have like they announced MVLink Fusion to kind of open things up MVLink Fusion to kind of open things up MVLink Fusion to kind of open things up a bit that's not like a Kumbaya thing a bit that's not like a Kumbaya thing a bit that's not like a Kumbaya thing this is more like a land grab right uh this is more like a land grab right uh this is more like a land grab right uh move because networking is becoming so move because networking is becoming so move because networking is becoming so important now important now important now >> uh nobody gives a about the GPU >> uh nobody gives a about the GPU >> uh nobody gives a about the GPU accelerators anymore it's all about accelerators anymore it's all about accelerators anymore it's all about networking networking networking >> you heard it here folks nobody body >> you heard it here folks nobody body >> you heard it here folks nobody body gives a about the GPUs and all gives a about the GPUs and all gives a about the GPUs and all serious serious serious >> except for everyone. No. Uh going dude, >> except for everyone. No. Uh going dude, >> except for everyone. No. Uh going dude, >> the bottleneck the bottleneck is moving >> the bottleneck the bottleneck is moving >> the bottleneck the bottleneck is moving the data around the data around the data around also you know we talked about data also you know we talked about data also you know we talked about data centers before right um these systems centers before right um these systems centers before right um these systems are becoming so complex and the physical are becoming so complex and the physical are becoming so complex and the physical aspects of it right Pete you've already aspects of it right Pete you've already aspects of it right Pete you've already mentioned a lot of this stuff right the
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mentioned a lot of this stuff right the mentioned a lot of this stuff right the you these things you literally have to you these things you literally have to you these things you literally have to manage them with the level of stability manage them with the level of stability manage them with the level of stability and reliability of a fab AB, and reliability of a fab AB, and reliability of a fab AB, you know, it's like ridiculous. The you know, it's like ridiculous. The you know, it's like ridiculous. The amount of IoT that is now being amount of IoT that is now being amount of IoT that is now being introduced into these data centers is introduced into these data centers is introduced into these data centers is like astronomical. So whether you talk like astronomical. So whether you talk like astronomical. So whether you talk to the guys at Synopsis or Cadence or um to the guys at Synopsis or Cadence or um to the guys at Synopsis or Cadence or um you know because you know they're doing you know because you know they're doing you know because you know they're doing all the digital twinning stuff but uh all the digital twinning stuff but uh all the digital twinning stuff but uh Global Foundaries all they're talking Global Foundaries all they're talking Global Foundaries all they're talking about is like data center IoT right about is like data center IoT right about is like data center IoT right which I think is going to be a big thing which I think is going to be a big thing which I think is going to be a big thing um because you need to um because you need to um because you need to basically basically basically um you have to um literally digital twin um you have to um literally digital twin um you have to um literally digital twin these things on a constant basis and I'm these things on a constant basis and I'm these things on a constant basis and I'm not just talking about simulation not just talking about simulation not just talking about simulation modeling. I mean, it's like the real modeling. I mean, it's like the real modeling. I mean, it's like the real digital twinning you and I, you know, digital twinning you and I, you know, digital twinning you and I, you know, we've been talking about IoT where we've been talking about IoT where we've been talking about IoT where you're fusing the physical world with you're fusing the physical world with you're fusing the physical world with the digital model in order to do all the digital model in order to do all the digital model in order to do all the, you know, uh, management, the, you know, uh, management, the, you know, uh, management, optimization, orchestration, XYZ that optimization, orchestration, XYZ that optimization, orchestration, XYZ that you need in order to stabilize and you need in order to stabilize and you need in order to stabilize and manage uh, in re in hyper real time manage uh, in re in hyper real time manage uh, in re in hyper real time what's going on in a data center. And what's going on in a data center. And what's going on in a data center. And think about all the mill millions of think about all the mill millions of think about all the mill millions of bits and pieces, the electrical, the bits and pieces, the electrical, the bits and pieces, the electrical, the thermals, the compute, the memory, the thermals, the compute, the memory, the thermals, the compute, the memory, the it's freaking ridiculous.
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it's freaking ridiculous. it's freaking ridiculous. And this I I'm I'm thinko is going to And this I I'm I'm thinko is going to And this I I'm I'm thinko is going to find its um it's um resurgence into in find its um it's um resurgence into in find its um it's um resurgence into in these freaking ridiculous data centers, these freaking ridiculous data centers, these freaking ridiculous data centers, man. man. man. >> My future ridiculous, huh? >> My future ridiculous, huh? >> My future ridiculous, huh? >> My latest future skate. They hadn't come >> My latest future skate. They hadn't come >> My latest future skate. They hadn't come out yet. And so out yet. And so out yet. And so >> what is >> what is >> what is >> I I I did three future escapes at IDC >> I I I did three future escapes at IDC >> I I I did three future escapes at IDC and one of them was exactly what you and one of them was exactly what you and one of them was exactly what you said, managing the data center 100% with said, managing the data center 100% with said, managing the data center 100% with digital twins. digital twins. digital twins. >> Yeah, you're absolutely right. Yeah, >> Yeah, you're absolutely right. Yeah, >> Yeah, you're absolutely right. Yeah, >> it's going to happen. >> it's going to happen. >> it's going to happen. >> And you learn though, that's the crazy >> And you learn though, that's the crazy >> And you learn though, that's the crazy thing. They're still on a learning curve thing. They're still on a learning curve thing. They're still on a learning curve because think about it. These systems because think about it. These systems because think about it. These systems and these data centers haven't been and these data centers haven't been and these data centers haven't been around for very long, right? So they're around for very long, right? So they're around for very long, right? So they're constantly learning. These first ones constantly learning. These first ones constantly learning. These first ones that they built out are probably really that they built out are probably really that they built out are probably really inefficient and problematic and they inefficient and problematic and they inefficient and problematic and they have have have >> they probably want to go back and >> they probably want to go back and >> they probably want to go back and rebuild them every time everything they rebuild them every time everything they rebuild them every time everything they learn. learn. learn. >> Right. >> Right. >> Right. >> Well, no. And every every you know >> Well, no. And every every you know >> Well, no. And every every you know nancond counts and every bit counts and nancond counts and every bit counts and nancond counts and every bit counts and so so so >> moving data even on the edge I mean we >> moving data even on the edge I mean we >> moving data even on the edge I mean we have partners that are introducing these have partners that are introducing these have partners that are introducing these systems with much more you know you've systems with much more you know you've systems with much more you know you've heard about in inmemory compute and like heard about in inmemory compute and like heard about in inmemory compute and like how do you get as close as you can how do you get as close as you can how do you get as close as you can between the memory and the compute and between the memory and the compute and between the memory and the compute and eliminate eliminate the bus like a eliminate eliminate the bus like a eliminate eliminate the bus like a busless busless busless you know, architecture between memory you know, architecture between memory you know, architecture between memory and compute and on the edge that and compute and on the edge that and compute and on the edge that translates into millows of big savings translates into millows of big savings translates into millows of big savings actually watts of savings.
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actually watts of savings. actually watts of savings. >> Um, but you scale it up to data centers >> Um, but you scale it up to data centers >> Um, but you scale it up to data centers that counts too. But yeah, we're seeing that counts too. But yeah, we're seeing that counts too. But yeah, we're seeing things on the edge like like really cool things on the edge like like really cool things on the edge like like really cool architecture architecture architecture where people because it is, you know, where people because it is, you know, where people because it is, you know, more bespoke platforms out there, they more bespoke platforms out there, they more bespoke platforms out there, they can do some pretty cool architectures can do some pretty cool architectures can do some pretty cool architectures where there really is no bus and the where there really is no bus and the where there really is no bus and the memory and view is basically the same, memory and view is basically the same, memory and view is basically the same, >> dude. And that's so spot on. Guess what? >> dude. And that's so spot on. Guess what? >> dude. And that's so spot on. Guess what? One of the biggest topics and no one One of the biggest topics and no one One of the biggest topics and no one talked about coming out of hot chips was talked about coming out of hot chips was talked about coming out of hot chips was um Huawei's unified memory bus. um Huawei's unified memory bus. um Huawei's unified memory bus. And so all this whole notion of like And so all this whole notion of like And so all this whole notion of like fabrics and heterogeneous computing that fabrics and heterogeneous computing that fabrics and heterogeneous computing that all is just like this huge fabric and all is just like this huge fabric and all is just like this huge fabric and being able to ma manage all these being able to ma manage all these being able to ma manage all these different topologies of networks up and different topologies of networks up and different topologies of networks up and down the stack orchestrating like bits down the stack orchestrating like bits down the stack orchestrating like bits you know dude it's mindboggling stuff you know dude it's mindboggling stuff you know dude it's mindboggling stuff and um that was like one of the biggest and um that was like one of the biggest and um that was like one of the biggest things that everyone was curious about things that everyone was curious about things that everyone was curious about what these and it's all networking what these and it's all networking what these and it's all networking >> it's all networking and this is always >> it's all networking and this is always >> it's all networking and this is always really good really good really good Well, you know, the first design Well, you know, the first design Well, you know, the first design principle when you're designing a device principle when you're designing a device principle when you're designing a device is like you want to keep things on the is like you want to keep things on the is like you want to keep things on the chip as as long as you can, right? Soon chip as as long as you can, right? Soon chip as as long as you can, right? Soon as it goes off chip using power, time.
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as it goes off chip using power, time. as it goes off chip using power, time. >> So, >> So, >> So, >> yeah, >> yeah, >> yeah, >> that's where there's a lot of uh now in >> that's where there's a lot of uh now in >> that's where there's a lot of uh now in the data center, they're trying to do the data center, they're trying to do the data center, they're trying to do that at a grand scale, right? How do we that at a grand scale, right? How do we that at a grand scale, right? How do we keep this flowing? keep this flowing? keep this flowing? >> Yeah. >> Yeah. >> Yeah. >> Yeah. I saw a demo that Hitachi was >> Yeah. I saw a demo that Hitachi was >> Yeah. I saw a demo that Hitachi was talking about, you know, it was uh talking about, you know, it was uh talking about, you know, it was uh migrating a virtual machine from one migrating a virtual machine from one migrating a virtual machine from one place to another and traditional ways place to another and traditional ways place to another and traditional ways doing it uses a lot of bandwidth as it's doing it uses a lot of bandwidth as it's doing it uses a lot of bandwidth as it's trying to migrate over the network to trying to migrate over the network to trying to migrate over the network to another. And they uh spent a lot of time another. And they uh spent a lot of time another. And they uh spent a lot of time working and now they can migrate it working and now they can migrate it working and now they can migrate it using the storage controllers and it using the storage controllers and it using the storage controllers and it doesn't use the network at all. doesn't use the network at all. doesn't use the network at all. >> It was and it was like lightning fast >> It was and it was like lightning fast >> It was and it was like lightning fast and no impact on the network at all. It and no impact on the network at all. It and no impact on the network at all. It just went to the controllers. It's just went to the controllers. It's just went to the controllers. It's crazy. crazy. crazy. >> Yeah. So, they're they're doing a lot of >> Yeah. So, they're they're doing a lot of >> Yeah. So, they're they're doing a lot of like interesting offload architectures, like interesting offload architectures, like interesting offload architectures, you know, like, you know, IPU or DPU you know, like, you know, IPU or DPU you know, like, you know, IPU or DPU type of constructs up and down the stack type of constructs up and down the stack type of constructs up and down the stack even, you know, even down to like the even, you know, even down to like the even, you know, even down to like the freaking, you know, the board level. freaking, you know, the board level. freaking, you know, the board level. >> Yeah. >> Yeah. >> Yeah. >> And um yeah, it's insane. Um, you know, >> And um yeah, it's insane. Um, you know, >> And um yeah, it's insane. Um, you know, there's a I think there's a mad scramble there's a I think there's a mad scramble there's a I think there's a mad scramble to figure out what's the next set of to figure out what's the next set of to figure out what's the next set of technologies and architectures that are technologies and architectures that are technologies and architectures that are going to continue to make this like going to continue to make this like going to continue to make this like Jensen Huang's curve keep going up. But Jensen Huang's curve keep going up. But Jensen Huang's curve keep going up. But definitely, you're hitting economic definitely, you're hitting economic definitely, you're hitting economic walls and also technological walls walls and also technological walls walls and also technological walls because everyone's spending all the because everyone's spending all the because everyone's spending all the bullets. Do you know what I'm saying?
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bullets. Do you know what I'm saying? bullets. Do you know what I'm saying? You know, like co-ackaged optics, that You know, like co-ackaged optics, that You know, like co-ackaged optics, that thing was supposed to be like 10 years thing was supposed to be like 10 years thing was supposed to be like 10 years out. They brought it in like to now out. They brought it in like to now out. They brought it in like to now because there's now a use case where because there's now a use case where because there's now a use case where people will pay ridiculous money to make people will pay ridiculous money to make people will pay ridiculous money to make that that that >> solve a ridiculous problem. You know, >> solve a ridiculous problem. You know, >> solve a ridiculous problem. You know, creating ridiculous problems to solve is creating ridiculous problems to solve is creating ridiculous problems to solve is really really really >> Did you just create like something new? >> Did you just create like something new? >> Did you just create like something new? Is Jensen's curve? Is Jensen's curve? Is Jensen's curve? >> No. >> No. >> No. >> Okay. That's not >> Okay. That's not >> Okay. That's not >> I saw I saw a commercial on TV about >> I saw I saw a commercial on TV about >> I saw I saw a commercial on TV about that. I think there's medication for that. I think there's medication for that. I think there's medication for that. >> Is that different? >> Is that different? >> Oh, I think it's different, dude. >> Oh, I think it's different, dude. >> Oh, I think it's different, dude. >> Oh my god. Just get a little Skyrizzy or >> Oh my god. Just get a little Skyrizzy or >> Oh my god. Just get a little Skyrizzy or whatever. Invoke or something like that. whatever. Invoke or something like that. whatever. Invoke or something like that. >> A little Sky Rizy, whatever. These >> A little Sky Rizy, whatever. These >> A little Sky Rizy, whatever. These random random random >> drug names in our heads. >> drug names in our heads. >> drug names in our heads. >> Yeah. that have these 4hour commercials >> Yeah. that have these 4hour commercials >> Yeah. that have these 4hour commercials on, you know, on, you know, on, you know, >> singing and dancing like the whole >> singing and dancing like the whole >> singing and dancing like the whole street comes alive in song.
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street comes alive in song. street comes alive in song. >> Exactly. >> Exactly. >> Exactly. >> Hey, you know, Lipu and Tan, you gota >> Hey, you know, Lipu and Tan, you gota >> Hey, you know, Lipu and Tan, you gota hats off to him. He raised seven is like hats off to him. He raised seven is like hats off to him. He raised seven is like 16 or 17 billion in a month. 16 or 17 billion in a month. 16 or 17 billion in a month. >> So, let's let's speculate. >> So, let's let's speculate. >> So, let's let's speculate. >> Let's speculate. Why in the world would >> Let's speculate. Why in the world would >> Let's speculate. Why in the world would Jensen do that if he's not going to use Jensen do that if he's not going to use Jensen do that if he's not going to use this foundry? Because you guys think he this foundry? Because you guys think he this foundry? Because you guys think he won't. He's Is it possible that Jensen won't. He's Is it possible that Jensen won't. He's Is it possible that Jensen got a phone call from someone in the got a phone call from someone in the got a phone call from someone in the White House? White House? White House? >> Um, no. You know, it it kind of it does >> Um, no. You know, it it kind of it does >> Um, no. You know, it it kind of it does make sense in that, you know, make sense in that, you know, make sense in that, you know, um, it's not really a formal um, it's not really a formal um, it's not really a formal commercial relationship as you know, commercial relationship as you know, commercial relationship as you know, there's no agreement that they actually there's no agreement that they actually there's no agreement that they actually seem to have talked about, right? But seem to have talked about, right? But seem to have talked about, right? But they've they've they've they've they've they've through the press conference through the press conference through the press conference communicated their commitment to certain communicated their commitment to certain communicated their commitment to certain things. One of them is um Intel will things. One of them is um Intel will things. One of them is um Intel will start to leverage start to leverage start to leverage um um um you know uh Nvidia technology in their you know uh Nvidia technology in their you know uh Nvidia technology in their client stuff as well as your data center client stuff as well as your data center client stuff as well as your data center stuff, right? Oh, wait. Maybe this deal stuff, right? Oh, wait. Maybe this deal stuff, right? Oh, wait. Maybe this deal is where Jensen says, "I'm going to give is where Jensen says, "I'm going to give is where Jensen says, "I'm going to give you this $5 billion, you this $5 billion, you this $5 billion, >> but you're going to start using my >> but you're going to start using my >> but you're going to start using my It's way better than your It's way better than your It's way better than your >> Give me a channel to now diffuse >> Give me a channel to now diffuse >> Give me a channel to now diffuse >> and you're going to pay for it and >> and you're going to pay for it and >> and you're going to pay for it and you're going to start integrating it you're going to start integrating it you're going to start integrating it into your tech, but there'll be a into your tech, but there'll be a into your tech, but there'll be a license fee. And so ultimately, I'm license fee. And so ultimately, I'm license fee. And so ultimately, I'm going to get that $5 billion back and going to get that $5 billion back and going to get that $5 billion back and then some." You're welcome.
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then some." You're welcome. then some." You're welcome. >> And then I'm going to own your ass. >> And then I'm going to own your ass. >> And then I'm going to own your ass. >> And I'm going to own your ass. >> And I'm going to own your ass. >> And I'm going to own your ass. Meanwhile, but all right. Does this seem Meanwhile, but all right. Does this seem Meanwhile, but all right. Does this seem anti-competitive or is Lisa Sue waking anti-competitive or is Lisa Sue waking anti-competitive or is Lisa Sue waking up in a cold sweat? up in a cold sweat? up in a cold sweat? >> Oh yeah, >> Oh yeah, >> Oh yeah, >> it's I mean it's easy for me to say that >> it's I mean it's easy for me to say that >> it's I mean it's easy for me to say that doesn't seem fair or is there something doesn't seem fair or is there something doesn't seem fair or is there something weird here cuz AMD is getting screwed. weird here cuz AMD is getting screwed. weird here cuz AMD is getting screwed. >> It it's >> It it's >> It it's >> you know first first lit Ban gets called >> you know first first lit Ban gets called >> you know first first lit Ban gets called on the carpet by Trump cuz I like I on the carpet by Trump cuz I like I on the carpet by Trump cuz I like I don't like you. You're Mr. China. I want don't like you. You're Mr. China. I want don't like you. You're Mr. China. I want you to quit right now. And then they you to quit right now. And then they you to quit right now. And then they have a pow-wow. Oh, I'm gonna give you have a pow-wow. Oh, I'm gonna give you have a pow-wow. Oh, I'm gonna give you all this Chips Act money and then I'm all this Chips Act money and then I'm all this Chips Act money and then I'm gonna own a stake in your company. And gonna own a stake in your company. And gonna own a stake in your company. And and that was the first little dagger for and that was the first little dagger for and that was the first little dagger for AMD and now this happens and it's like AMD and now this happens and it's like AMD and now this happens and it's like it just it seems not fair or it just it seems not fair or it just it seems not fair or anti-competitive. I don't know or am I anti-competitive. I don't know or am I anti-competitive. I don't know or am I stretching here? stretching here? stretching here? >> I mean if it sound it you paint it like >> I mean if it sound it you paint it like >> I mean if it sound it you paint it like it's pretty unfair and I do don't say it's pretty unfair and I do don't say it's pretty unfair and I do don't say think anything that you've said is think anything that you've said is think anything that you've said is inaccurate. Yeah. I mean it is weird inaccurate. Yeah. I mean it is weird inaccurate. Yeah. I mean it is weird because I mean think about what what's because I mean think about what what's because I mean think about what what's happening here is if they start to adopt happening here is if they start to adopt happening here is if they start to adopt MVLink okay not only in the data center MVLink okay not only in the data center MVLink okay not only in the data center through uh fusion but even on the um you through uh fusion but even on the um you through uh fusion but even on the um you know device side right to maybe know device side right to maybe know device side right to maybe revitalize revitalize revitalize um Intel's offerings in desktop where um Intel's offerings in desktop where um Intel's offerings in desktop where they're losing out to to AMD they're losing out to to AMD they're losing out to to AMD um you're you're basically on the data um you're you're basically on the data um you're you're basically on the data center side ditching UA a link, you
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center side ditching UA a link, you center side ditching UA a link, you know, and Intel is one of the the key know, and Intel is one of the the key know, and Intel is one of the the key stakeholders in UAL link, right? Which stakeholders in UAL link, right? Which stakeholders in UAL link, right? Which is the alternative like sort of the is the alternative like sort of the is the alternative like sort of the quote unquote open version of um a it's quote unquote open version of um a it's quote unquote open version of um a it's an open response to uh Envy Link. an open response to uh Envy Link. an open response to uh Envy Link. >> That's kind of nasty, right? >> That's kind of nasty, right? >> That's kind of nasty, right? >> Yeah, >> Yeah, >> Yeah, >> that's not no bueno for UA link. So um >> that's not no bueno for UA link. So um >> that's not no bueno for UA link. So um yeah, it may it it takes out the support yeah, it may it it takes out the support yeah, it may it it takes out the support for that probably you know ultra for that probably you know ultra for that probably you know ultra ethernet as well because this is if on ethernet as well because this is if on ethernet as well because this is if on the data center side they're probably the data center side they're probably the data center side they're probably going to start supporting you know going to start supporting you know going to start supporting you know connect X and you know uh Nvidia's stuff connect X and you know uh Nvidia's stuff connect X and you know uh Nvidia's stuff especially if they're they're looking at especially if they're they're looking at especially if they're they're looking at enterprise all these enterprise enterprise all these enterprise enterprise all these enterprise deployments right and deployments right and deployments right and >> like right now Leonard I'm putting >> like right now Leonard I'm putting >> like right now Leonard I'm putting together my amicus brief that I'm going together my amicus brief that I'm going together my amicus brief that I'm going to send up to the Supreme Court along to send up to the Supreme Court along to send up to the Supreme Court along the lines of, you know, out on the field the lines of, you know, out on the field the lines of, you know, out on the field of play. AMD has actually been slowly of play. AMD has actually been slowly of play. AMD has actually been slowly but surely kicking Intel's ass and but surely kicking Intel's ass and but surely kicking Intel's ass and they're making better chips. They're they're making better chips. They're they're making better chips. They're number two in the GPU space and they're number two in the GPU space and they're number two in the GPU space and they're moving away. And then all of a sudden, moving away. And then all of a sudden, moving away. And then all of a sudden, and then all of a sudden all all this and then all of a sudden all all this and then all of a sudden all all this love gets sent to Intel.
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love gets sent to Intel. love gets sent to Intel. in in the fairness competitive in in the fairness competitive in in the fairness competitive capitalist world, AMD was doing what capitalist world, AMD was doing what capitalist world, AMD was doing what they needed to do and having success and they needed to do and having success and they needed to do and having success and now they're going to be pulled back and now they're going to be pulled back and now they're going to be pulled back and Intel's going to go ahead unnaturally. Intel's going to go ahead unnaturally. Intel's going to go ahead unnaturally. >> Yeah. And then you know quite honestly >> Yeah. And then you know quite honestly >> Yeah. And then you know quite honestly this you know back in the day this you know back in the day this you know back in the day um you know Nvidia tried to purchase ARM um you know Nvidia tried to purchase ARM um you know Nvidia tried to purchase ARM right in the hopes of maybe bringing ARM right in the hopes of maybe bringing ARM right in the hopes of maybe bringing ARM to the data center as well as PC to the data center as well as PC to the data center as well as PC eventually eventually eventually >> u mobile um or no mobile they're there >> u mobile um or no mobile they're there >> u mobile um or no mobile they're there but you know uh PC um data center but you know uh PC um data center but you know uh PC um data center definitely this is a better play for um definitely this is a better play for um definitely this is a better play for um you know Nvidia because they get into PC you know Nvidia because they get into PC you know Nvidia because they get into PC PCs and laptops in particular and that's PCs and laptops in particular and that's PCs and laptops in particular and that's huge. huge. huge. >> Think in terms of laptops as being a >> Think in terms of laptops as being a >> Think in terms of laptops as being a huge thing. It's freaking huge still, huge thing. It's freaking huge still, huge thing. It's freaking huge still, right? It's just not growing right? It's just not growing right? It's just not growing astronomically, but astronomically, but astronomically, but >> billions single billions. Single >> billions single billions. Single >> billions single billions. Single billions. billions. billions. >> Yeah. >> Yeah. >> Yeah. >> At all actually, but that's a whole >> At all actually, but that's a whole >> At all actually, but that's a whole other other other >> Yeah. But no doubt that um you know >> Yeah. But no doubt that um you know >> Yeah. But no doubt that um you know >> PC sales >> PC sales >> PC sales >> PC sales are single billion.
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>> PC sales are single billion. >> PC sales are single billion. >> Yeah. It's single billions. It's not >> Yeah. It's single billions. It's not >> Yeah. It's single billions. It's not tens of billions. tens of billions. tens of billions. >> No, dude. for dollars and it's not >> No, dude. for dollars and it's not >> No, dude. for dollars and it's not growing. It's been flat for growing. It's been flat for growing. It's been flat for >> No, no, it's growing a little bit. >> No, no, it's growing a little bit. >> No, no, it's growing a little bit. >> It's not a billion, man. It's like >> It's not a billion, man. It's like >> It's not a billion, man. It's like >> No, it'sionsund and you know, more than >> No, it'sionsund and you know, more than >> No, it'sionsund and you know, more than 100 billion. 100 billion. 100 billion. >> Well, it's 250 million a year. >> Well, it's 250 million a year. >> Well, it's 250 million a year. >> Okay, pretty flat. So, >> Okay, pretty flat. So, >> Okay, pretty flat. So, >> you know, I don't know, thousand bucks >> you know, I don't know, thousand bucks >> you know, I don't know, thousand bucks each. each. each. >> Less than that probably. >> Less than that probably. >> Less than that probably. >> It was declining. It got a boost during >> It was declining. It got a boost during >> It was declining. It got a boost during co and now there was that boost and now co and now there was that boost and now co and now there was that boost and now the boost is the boost is the boost is >> it's a good solid you know >> it's a good solid you know >> it's a good solid you know market but it's not really grow it's not market but it's not really grow it's not market but it's not really grow it's not a growth markets aren't a growth market. a growth markets aren't a growth market. a growth markets aren't a growth market. >> No I didn't say that it's a growth >> No I didn't say that it's a growth >> No I didn't say that it's a growth market but it's a frontier market for market but it's a frontier market for market but it's a frontier market for Nvidia. Nvidia. Nvidia. >> No it's true they don't have any space >> No it's true they don't have any space >> No it's true they don't have any space there. So I agree. I mean they do sell there. So I agree. I mean they do sell there. So I agree. I mean they do sell actually a lot of chips into the actually a lot of chips into the actually a lot of chips into the higherend laptops as GPUs but higherend laptops as GPUs but higherend laptops as GPUs but >> yeah and then you know well they do um >> yeah and then you know well they do um >> yeah and then you know well they do um but this is all you know um AMD has AMD but this is all you know um AMD has AMD but this is all you know um AMD has AMD you know u Ryzen and Radian um Intel you you know u Ryzen and Radian um Intel you you know u Ryzen and Radian um Intel you know they they've been struggling on the know they they've been struggling on the know they they've been struggling on the GPU side right GPU side right GPU side right >> they have Iris and ARC >> they have Iris and ARC >> they have Iris and ARC >> we'll see I think it's a I think it's a >> we'll see I think it's a I think it's a >> we'll see I think it's a I think it's a it's an easy hedge for Jensen to do the it's an easy hedge for Jensen to do the it's an easy hedge for Jensen to do the investment and to see where he can get investment and to see where he can get investment and to see where he can get some, you know, extra, like you said, some, you know, extra, like you said, some, you know, extra, like you said, market share, whether it's the data market share, whether it's the data market share, whether it's the data center or other places.
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center or other places. center or other places. >> I think it's more of a um it's a >> I think it's more of a um it's a >> I think it's more of a um it's a diversity play cuz 99 89% of their diversity play cuz 99 89% of their diversity play cuz 99 89% of their revenue comes from um data center right revenue comes from um data center right revenue comes from um data center right now. now. now. >> I know. And if it when this all >> I know. And if it when this all >> I know. And if it when this all collapses cuz here's the thing collapses cuz here's the thing collapses cuz here's the thing semiconductor industry there's all it's semiconductor industry there's all it's semiconductor industry there's all it's always signical. Anyone who sits there always signical. Anyone who sits there always signical. Anyone who sits there and says oh well it's different this and says oh well it's different this and says oh well it's different this time. time. time. Not really. Not really. Not really. >> It's different this time. We got 5G. >> It's different this time. We got 5G. >> It's different this time. We got 5G. >> Yeah. It's different this time. >> Yeah. It's different this time. >> Yeah. It's different this time. No, not really. um you know I don't No, not really. um you know I don't No, not really. um you know I don't think um Nvidia wants to be you know think um Nvidia wants to be you know think um Nvidia wants to be you know holding that bag so it's a smart move holding that bag so it's a smart move holding that bag so it's a smart move diversification move. diversification move. diversification move. So anyway all right So anyway all right So anyway all right >> so wait call it >> so wait call it >> so wait call it >> let's call it. >> let's call it. >> let's call it. >> You want to take us out Rob? >> You want to take us out Rob? >> You want to take us out Rob? >> Yes. Call it. I'm going to flip a coin >> Yes. Call it. I'm going to flip a coin >> Yes. Call it. I'm going to flip a coin and I need you to call it. and I need you to call it. and I need you to call it. >> You you know where I'm coming from don't >> You you know where I'm coming from don't >> You you know where I'm coming from don't you?
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you? you? >> No I don't. I'm too It's too early in >> No I don't. I'm too It's too early in >> No I don't. I'm too It's too early in the morning, dude. the morning, dude. the morning, dude. >> Let me try to look like Javier Bardan. >> Let me try to look like Javier Bardan. >> Let me try to look like Javier Bardan. Call it Call it Call it >> right. Don't you No Country for Old Men. >> right. Don't you No Country for Old Men. >> right. Don't you No Country for Old Men. >> Yeah. Yeah. No, that's >> Yeah. Yeah. No, that's >> Yeah. Yeah. No, that's >> I'm gonna watch it. I did watch it. >> I'm gonna watch it. I did watch it. >> I'm gonna watch it. I did watch it. >> How much have you ever lost in a >> How much have you ever lost in a >> How much have you ever lost in a country? country? country? >> Exactly. >> Exactly. >> Exactly. >> Yes. Have you ever seen that movie, >> Yes. Have you ever seen that movie, >> Yes. Have you ever seen that movie, Leonard? Leonard? Leonard? >> No, I haven't. >> No, I haven't. >> No, I haven't. >> You need It's one of the best movies >> You need It's one of the best movies >> You need It's one of the best movies ever made. Actually, ever made. Actually, ever made. Actually, >> the Cohen brothers made it. It's one of >> the Cohen brothers made it. It's one of >> the Cohen brothers made it. It's one of the best movies ever made. the best movies ever made. the best movies ever made. >> The one where the guy gets killed with a >> The one where the guy gets killed with a >> The one where the guy gets killed with a with a gun bowling ball. It's like that. with a gun bowling ball. It's like that. with a gun bowling ball. It's like that. >> It's like that. It might have been used >> It's like that. It might have been used >> It's like that. It might have been used for killing cattle actually on the for killing cattle actually on the for killing cattle actually on the ranch. It was like pneumatic. ranch. It was like pneumatic. ranch. It was like pneumatic. >> Yeah, that was right. It was like a >> Yeah, that was right. It was like a >> Yeah, that was right. It was like a >> because they use That's how they kill >> because they use That's how they kill >> because they use That's how they kill the cows. the cows. the cows. >> It was a spike. >> It was a spike. >> It was a spike. >> Wonderful. >> Wonderful. >> Wonderful. >> I love the back of them trying to hire. >> I love the back of them trying to hire. >> I love the back of them trying to hire. >> Yeah, on that note. Call it >> Yeah, on that note. Call it >> Yeah, on that note. Call it >> got it. >> got it. >> got it. >> Get out of Get out of your car. Come >> Get out of Get out of your car. Come >> Get out of Get out of your car. Come over here. over here. over here. Anyway, thanks so much for joining us Anyway, thanks so much for joining us Anyway, thanks so much for joining us insane people. Oh yeah, insane people. Oh yeah, insane people. Oh yeah, >> in the membrane medieval here on IoT >> in the membrane medieval here on IoT >> in the membrane medieval here on IoT coffee talk. Um, we got pretty technical coffee talk. Um, we got pretty technical coffee talk. Um, we got pretty technical today actually. We talked about data today actually. We talked about data today actually. We talked about data centers and chips and all kinds of centers and chips and all kinds of centers and chips and all kinds of stuff. We went medieval in IoT. I think stuff. We went medieval in IoT. I think stuff. We went medieval in IoT. I think somebody said the letters somewhere and somebody said the letters somewhere and somebody said the letters somewhere and so that was good. You know, so we got so that was good. You know, so we got so that was good. You know, so we got that going for us, you know. We talked that going for us, you know. We talked that going for us, you know. We talked about AI, of course. We talked about about AI, of course. We talked about about AI, of course. We talked about AWA, uh, people versus data centers, you AWA, uh, people versus data centers, you AWA, uh, people versus data centers, you know, the coming battle, the data center know, the coming battle, the data center know, the coming battle, the data center wars, you know, that's going to happen.
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wars, you know, that's going to happen. wars, you know, that's going to happen. you know, people firing, you know, you know, people firing, you know, you know, people firing, you know, rockets, shouldermounted rockets at data rockets, shouldermounted rockets at data rockets, shouldermounted rockets at data centers. I want the water and centers. I want the water and centers. I want the water and electricity. Anyway, thanks for joining electricity. Anyway, thanks for joining electricity. Anyway, thanks for joining and we're celebrating Elevate and we're celebrating Elevate and we're celebrating Elevate Communities. Communities. Communities. It's an and to elevate our kids, not an It's an and to elevate our kids, not an It's an and to elevate our kids, not an or or an instead of, it's an and. And or or an instead of, it's an and. And or or an instead of, it's an and. And we're going to do even more. And you're we're going to do even more. And you're we're going to do even more. And you're not going to believe it. And I know not going to believe it. And I know not going to believe it. And I know Leonard can't believe that we're going Leonard can't believe that we're going Leonard can't believe that we're going to do all this stuff. It's it's a lot of to do all this stuff. It's it's a lot of to do all this stuff. It's it's a lot of stuff for us to do. It's we're putting a stuff for us to do. It's we're putting a stuff for us to do. It's we're putting a lot of things on our shoulders. Uh, but lot of things on our shoulders. Uh, but lot of things on our shoulders. Uh, but we're stepping up in a big way. So, uh, we're stepping up in a big way. So, uh, we're stepping up in a big way. So, uh, anyway, looking forward to that. Make anyway, looking forward to that. Make anyway, looking forward to that. Make sure and join us next week at the same sure and join us next week at the same sure and join us next week at the same bat time and same bat channel. And we bat time and same bat channel. And we bat time and same bat channel. And we are out. are out. are out. [Music]
Summary
This tech transcript discusses the challenges of performing Van Halen's "Beautiful Girls," referencing the band's iconic era and the differing opinions on vocalists. The takeaway is that even a flawed attempt is valuable if you put yourself in the arena, acknowledging that age and the evolving music landscape impact performances.