IoT Coffee Talk: Episode 304 - Old Wrinkled Brains (The Secret to Staving off the AI Apocalypse)

[cheering] [cheering] >> Yes. [screaming] Yes. Yes. >> That was good. >> That was good. Did that work? Did that work? Did that work? >> It worked. We heard it. Yeah, we heard >> It worked. We heard it. Yeah, we heard >> It worked. We heard it. Yeah, we heard it. it. it. >> Awesome. We figured it out. >> Awesome. We figured it out. >> Awesome. We figured it out. >> We figured it out. >> We figured it out. >> We figured it out. >> We also figured out that Apple's >> We also figured out that Apple's >> We also figured out that Apple's voice isolation is very, very powerful. voice isolation is very, very powerful. voice isolation is very, very powerful. >> Did you buy some new Apple gear? >> Did you buy some new Apple gear? >> Did you buy some new Apple gear? >> No. No, it's just >> No. No, it's just >> No. No, it's just >> go get You didn't go get a M5 something >> go get You didn't go get a M5 something >> go get You didn't go get a M5 something or other? or other? or other? >> No. >> No. >> No. >> [laughter] >> [laughter] >> [laughter] >> Not yet. >> Not yet. >> Not yet. >> No, I'm still I'm still running a M1 >> No, I'm still I'm still running a M1 >> No, I'm still I'm still running a M1 Hopefully fine. Hopefully fine. Hopefully fine. >> You got to be careful as far as you get >> You got to be careful as far as you get >> You got to be careful as far as you get further away and we don't hear you further away and we don't hear you further away and we don't hear you anymore and it's like choppy. anymore and it's like choppy. anymore and it's like choppy. >> You know. >> You know. >> You know. >> Oh, okay. >> Oh, okay. >> Oh, okay. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Fun. >> Fun. >> Fun. >> Yeah, you know what? I think you need to >> Yeah, you know what? I think you need to >> Yeah, you know what? I think you need to trade in your M1 Max Ultra on M5 trade in your M1 Max Ultra on M5 trade in your M1 Max Ultra on M5 something better. something better. something better. >> [clears throat] >> [clears throat] >> [clears throat] >> Plus, plus, pro. >> Plus, plus, pro. >> Plus, plus, pro. >> A pro express service pack two. Yeah, >> A pro express service pack two. Yeah, >> A pro express service pack two. Yeah, you need to get that stuff, man. you need to get that stuff, man. you need to get that stuff, man. Tim Tim Tim Tim Cook called me and he's like, "I Tim Cook called me and he's like, "I Tim Cook called me and he's like, "I need all you guys to go to the Apple need all you guys to go to the Apple need all you guys to go to the Apple Store today Store today Store today and buy all our news, and buy all our news, and buy all our news, you know, our new chips, man."

you know, our new chips, man." you know, our new chips, man." >> Neo, that little tiny little Neo. >> Neo, that little tiny little Neo. >> Neo, that little tiny little Neo. >> So, let's talk about Neo. Let's talk >> So, let's talk about Neo. Let's talk >> So, let's talk about Neo. Let's talk about MacBook Neo. What do you think? about MacBook Neo. What do you think? about MacBook Neo. What do you think? Are they going after a down market, a Are they going after a down market, a Are they going after a down market, a different demographic? Is that what that different demographic? Is that what that different demographic? Is that what that is? is? is? >> Uh I think it's a services play. They >> Uh I think it's a services play. They >> Uh I think it's a services play. They and they, you know, they've lost out on and they, you know, they've lost out on and they, you know, they've lost out on the education market for years and the education market for years and the education market for years and they're going to get back in. they're going to get back in. they're going to get back in. >> After owning it a long time ago, right? >> After owning it a long time ago, right? >> After owning it a long time ago, right? >> Yeah, they owned it and then >> Yeah, they owned it and then >> Yeah, they owned it and then >> right, they lost it to Chromebooks. >> right, they lost it to Chromebooks. >> right, they lost it to Chromebooks. >> Yep. >> Yep. >> Yep. >> Yeah. >> Yeah. >> Yeah. >> Yeah. Yeah, good point. >> Yeah. Yeah, good point. >> Yeah. Yeah, good point. >> They're I think they're kind of uh >> They're I think they're kind of uh >> They're I think they're kind of uh um borrowing from the Facebook or the um borrowing from the Facebook or the um borrowing from the Facebook or the meta playbook meta playbook meta playbook going with a cheaper going with a cheaper going with a cheaper um [clears throat] device um [clears throat] device um [clears throat] device but um but um but um trying to tap in, expand trying to tap in, expand trying to tap in, expand that services market. I mean, they have that services market. I mean, they have that services market. I mean, they have huge margins on their services, right? huge margins on their services, right? huge margins on their services, right? >> Yep. >> Yep. >> Yep. >> And then they have all the sports stuff, >> And then they have all the sports stuff, >> And then they have all the sports stuff, their own Apple TV, their own content, their own Apple TV, their own content, their own Apple TV, their own content, um this is going to be pretty um this is going to be pretty um this is going to be pretty >> I didn't think of any of that stuff that >> I didn't think of any of that stuff that >> I didn't think of any of that stuff that you said. All I thought was they want to you said. All I thought was they want to you said. All I thought was they want to compete with those crappy ASUS laptops.

compete with those crappy ASUS laptops. compete with those crappy ASUS laptops. >> [laughter] >> [laughter] >> [laughter] >> No. >> No. >> No. >> You know? Or the $200 [laughter] HP >> You know? Or the $200 [laughter] HP >> You know? Or the $200 [laughter] HP laptop that you can get, you know? laptop that you can get, you know? laptop that you can get, you know? >> Yeah. >> Yeah. >> Yeah. >> And so >> And so >> And so >> going to be a hard job to get back into >> going to be a hard job to get back into >> going to be a hard job to get back into education cuz I mean, I my my kids they education cuz I mean, I my my kids they education cuz I mean, I my my kids they kids get handed a Chromebook, you know, kids get handed a Chromebook, you know, kids get handed a Chromebook, you know, at the door along with their, you know, at the door along with their, you know, at the door along with their, you know, ID card and their first homework. And ID card and their first homework. And ID card and their first homework. And it's that so pervasive in schools. I it's that so pervasive in schools. I it's that so pervasive in schools. I think think think both Apple and Microsoft were sleeping both Apple and Microsoft were sleeping both Apple and Microsoft were sleeping and Google just flooded the zone. I mean and Google just flooded the zone. I mean and Google just flooded the zone. I mean they are they are they are >> And you're right. >> And you're right. >> And you're right. >> Hardware has got three or four years >> Hardware has got three or four years >> Hardware has got three or four years life in it as well. So they're not going life in it as well. So they're not going life in it as well. So they're not going to they're not going to have any chance to they're not going to have any chance to they're not going to have any chance until then. until then. until then. >> And I was uh surprised in education the >> And I was uh surprised in education the >> And I was uh surprised in education the touch screen actually matters. touch screen actually matters. touch screen actually matters. So that's where I think Apple may have So that's where I think Apple may have So that's where I think Apple may have to consider introducing touch screen for to consider introducing touch screen for to consider introducing touch screen for a Mac. a Mac. a Mac. >> Which is >> Which is >> Which is >> Maybe. >> Maybe. >> Maybe. >> Sort of yeah. But >> Sort of yeah. But >> Sort of yeah. But Outside of that, I don't see anyone Outside of that, I don't see anyone Outside of that, I don't see anyone actually using a touch screen on a actually using a touch screen on a actually using a touch screen on a two-in-one.

two-in-one. two-in-one. You know? You know? You know? >> They go, "I've got a touch screen. I've >> They go, "I've got a touch screen. I've >> They go, "I've got a touch screen. I've never touched it, but I've got one." never touched it, but I've got one." never touched it, but I've got one." Yeah. [laughter] Yeah. [laughter] Yeah. [laughter] Yeah. I mean Yeah. I mean Yeah. I mean >> That sounds like a strange strategy >> That sounds like a strange strategy >> That sounds like a strange strategy because their position has always been because their position has always been because their position has always been that you need more power locally to run that you need more power locally to run that you need more power locally to run intelligence and all this kind of stuff. intelligence and all this kind of stuff. intelligence and all this kind of stuff. So is they going to this direction of So is they going to this direction of So is they going to this direction of those new lighter cloud dependent those new lighter cloud dependent those new lighter cloud dependent services, systems, and especially in services, systems, and especially in services, systems, and especially in education, you're then creating a education, you're then creating a education, you're then creating a generation of people that you cannot generation of people that you cannot generation of people that you cannot pass the message that the power should pass the message that the power should pass the message that the power should be run locally. So that sounds very um be run locally. So that sounds very um be run locally. So that sounds very um I mean I haven't had time to watch the I mean I haven't had time to watch the I mean I haven't had time to watch the announcement this week, but that sounds announcement this week, but that sounds announcement this week, but that sounds very weird to me. So very weird to me. So very weird to me. So >> He's trying to take us back to the '90s >> He's trying to take us back to the '90s >> He's trying to take us back to the '90s when we were going to buy a Sun Ray when we were going to buy a Sun Ray when we were going to buy a Sun Ray system, you know, network computer that system, you know, network computer that system, you know, network computer that talked that all it had was Java run talked that all it had was Java run talked that all it had was Java run time. time. time. >> I think that's what we should do. >> I think that's what we should do. >> I think that's what we should do. Otherwise we're going to be Otherwise we're going to be Otherwise we're going to be >> Or when we got into this century, >> Or when we got into this century, >> Or when we got into this century, remember the netbooks? remember the netbooks? remember the netbooks? >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Like the really cheap low-end laptops >> Like the really cheap low-end laptops >> Like the really cheap low-end laptops running XP. running XP. running XP. >> I remember >> I remember >> I remember I remember Larry Ellison at Oracle World I remember Larry Ellison at Oracle World I remember Larry Ellison at Oracle World destroying a PC and saying, "Here's what destroying a PC and saying, "Here's what destroying a PC and saying, "Here's what happened if your PC is destroyed, but happened if your PC is destroyed, but happened if your PC is destroyed, but you just need a browser and buy Oracle you just need a browser and buy Oracle you just need a browser and buy Oracle because I have the data blah blah blah."

because I have the data blah blah blah." because I have the data blah blah blah." >> god. There I remember Larry Ellison >> god. There I remember Larry Ellison >> god. There I remember Larry Ellison going, "It's just bits. Why and you're going, "It's just bits. Why and you're going, "It's just bits. Why and you're buying plastic with bits on it and buying plastic with bits on it and buying plastic with bits on it and putting it into a CD-ROM. You could just putting it into a CD-ROM. You could just putting it into a CD-ROM. You could just download this from this internet thing download this from this internet thing download this from this internet thing that we just created. that we just created. that we just created. >> Yeah. >> Yeah. >> Yeah. >> Yeah, you know, um, that's yeah, I love >> Yeah, you know, um, that's yeah, I love >> Yeah, you know, um, that's yeah, I love it when people destroy their computer. it when people destroy their computer. it when people destroy their computer. >> Zero zero client computing. >> Zero zero client computing. >> Zero zero client computing. >> Zero client computing. >> Zero client computing. >> Zero client computing. >> [laughter] >> [laughter] >> [laughter] >> Absolutely. Remember that Sun even built >> Absolutely. Remember that Sun even built >> Absolutely. Remember that Sun even built chips that were optimized for Java. chips that were optimized for Java. chips that were optimized for Java. >> Yeah. >> Yeah. >> Yeah. >> Cuz that was their whole thing with >> Cuz that was their whole thing with >> Cuz that was their whole thing with >> In in in the ring. I remember I remember >> In in in the ring. I remember I remember >> In in in the ring. I remember I remember >> Java ring. >> Java ring. >> Java ring. >> Yeah, the Java ring. >> Yeah, the Java ring. >> Yeah, the Java ring. >> have it. I still got it. >> have it. I still got it. >> have it. I still got it. >> Oh, burn it. Burn it. >> Oh, burn it. Burn it. >> Oh, burn it. Burn it. >> Yeah, and I have the connector it plugs >> Yeah, and I have the connector it plugs >> Yeah, and I have the connector it plugs into a serial port, RS-232 serial port. into a serial port, RS-232 serial port. into a serial port, RS-232 serial port. Yeah. Yeah. Yeah. >> I think Bill is about to leave. >> I think Bill is about to leave. >> I think Bill is about to leave. >> I still love that. >> I still love that. >> I still love that. >> I I mean, I'm listening to this I said >> I I mean, I'm listening to this I said >> I I mean, I'm listening to this I said I'm like, what in all the hell are we I'm like, what in all the hell are we I'm like, what in all the hell are we talking about here because talking about here because talking about here because I'm hey, look, I don't care what any I'm hey, look, I don't care what any I'm hey, look, I don't care what any education system says. I don't care what education system says. I don't care what education system says. I don't care what anyone else says. We're straight old anyone else says. We're straight old anyone else says. We're straight old school over here, all right? It's Linux.

school over here, all right? It's Linux. school over here, all right? It's Linux. It's command line. And that's what my It's command line. And that's what my It's command line. And that's what my girls learned. girls learned. girls learned. >> Oh. >> Oh. >> Oh. >> Wow. >> Wow. >> Wow. >> Wow. >> Wow. >> Wow. >> There you go. >> There you go. >> There you go. >> That's it. When when they went to school >> That's it. When when they went to school >> That's it. When when they went to school and then and the each of the class they and then and the each of the class they and then and the each of the class they were like, oh, you have to use a were like, oh, you have to use a were like, oh, you have to use a Chromebook. I was like, you take your Chromebook. I was like, you take your Chromebook. I was like, you take your Mac. Mac. Mac. >> [clears throat and snorts] >> [clears throat and snorts] >> [clears throat and snorts] >> And you put that Chromebook next to it >> And you put that Chromebook next to it >> And you put that Chromebook next to it and you do all your work on the Mac. and you do all your work on the Mac. and you do all your work on the Mac. >> Wow. So, you're one of those parents, >> Wow. So, you're one of those parents, >> Wow. So, you're one of those parents, aren't you? aren't you? aren't you? >> Yeah. >> Yeah. >> Yeah. >> So, you know what? Yeah, you were at the >> So, you know what? Yeah, you were at the >> So, you know what? Yeah, you were at the school board meeting, weren't you? school board meeting, weren't you? school board meeting, weren't you? >> Hell yes. >> Hell yes. >> Hell yes. >> Yeah. And you know what? >> Yeah. And you know what? >> Yeah. And you know what? Open Claw is learning to use your CLI as Open Claw is learning to use your CLI as Open Claw is learning to use your CLI as well. well. well. >> I That's what's up. I mean, the rest of >> I That's what's up. I mean, the rest of >> I That's what's up. I mean, the rest of this the rest of this I mean, we forgot this the rest of this I mean, we forgot this the rest of this I mean, we forgot all the old school. This is what it all the old school. This is what it all the old school. This is what it takes to build a computer. takes to build a computer. takes to build a computer. >> There's a no no no no no no no no no no >> There's a no no no no no no no no no no >> There's a no no no no no no no no no no no no no no no no no No MCP, none of no no no no no no no No MCP, none of no no no no no no no No MCP, none of that nonsense, none of this abstracted that nonsense, none of this abstracted that nonsense, none of this abstracted crap. Uh, straight up, straight to crap. Uh, straight up, straight to crap. Uh, straight up, straight to straight to your privilege access straight to your privilege access straight to your privilege access systems. systems. systems. >> Dude, look, let me tell you something. I >> Dude, look, let me tell you something. I >> Dude, look, let me tell you something. I don't know I don't know how many of you don't know I don't know how many of you don't know I don't know how many of you have ever done anything. All right, so have ever done anything. All right, so have ever done anything. All right, so so you go to a you go to a trade show.

so you go to a you go to a trade show. so you go to a you go to a trade show. Everyone's like, "Oh, do we have Everyone's like, "Oh, do we have Everyone's like, "Oh, do we have internet connectivity?" Yeah, you have internet connectivity?" Yeah, you have internet connectivity?" Yeah, you have internet. But, you get enough people internet. But, you get enough people internet. But, you get enough people there and you're getting stepped on, there and you're getting stepped on, there and you're getting stepped on, right? So, the noise floor is off I right? So, the noise floor is off I right? So, the noise floor is off I mean, off the hinges. And so, you go to mean, off the hinges. And so, you go to mean, off the hinges. And so, you go to building local, right? You know, your building local, right? You know, your building local, right? You know, your your local 3,000, that's where you're your local 3,000, that's where you're your local 3,000, that's where you're you're going to you know, run your demo you're going to you know, run your demo you're going to you know, run your demo because you don't have to worry about because you don't have to worry about because you don't have to worry about internet. internet. internet. So, I watch people saying, "Oh, yeah, So, I watch people saying, "Oh, yeah, So, I watch people saying, "Oh, yeah, you know, we're using these Docker you know, we're using these Docker you know, we're using these Docker containers." Docker doesn't update containers." Docker doesn't update containers." Docker doesn't update overnight, and your your Docker won't overnight, and your your Docker won't overnight, and your your Docker won't open. open. open. >> [laughter] >> [laughter] >> [laughter] >> Ouch. >> Ouch. >> Ouch. Ouch. Ouch. Ouch. >> So, I'm I'm like, and then they're like, >> So, I'm I'm like, and then they're like, >> So, I'm I'm like, and then they're like, "Well, I'm trying to use the UI." I'm "Well, I'm trying to use the UI." I'm "Well, I'm trying to use the UI." I'm like, go in and command line, and you like, go in and command line, and you like, go in and command line, and you can get everything back running again. can get everything back running again. can get everything back running again. They [laughter] can't do it. Why? I need They [laughter] can't do it. Why? I need They [laughter] can't do it. Why? I need the dashboard. I need this. I need that. the dashboard. I need this. I need that. the dashboard. I need this. I need that. It's like, we have forgotten what the It's like, we have forgotten what the It's like, we have forgotten what the hell it is to do hell it is to do hell it is to do >> Yeah. >> Yeah. >> Yeah. >> Wow, Bill is the teacher of the future. >> Wow, Bill is the teacher of the future. >> Wow, Bill is the teacher of the future. I'm going to see him in the classroom, I'm going to see him in the classroom, I'm going to see him in the classroom, and all the kids are learning everything and all the kids are learning everything and all the kids are learning everything on the command line and stuff like that. on the command line and stuff like that. on the command line and stuff like that. And they're like throwing shade at And they're like throwing shade at And they're like throwing shade at people who are using UIs to do stuff.

people who are using UIs to do stuff. people who are using UIs to do stuff. It's like, you guys are a bunch of You It's like, you guys are a bunch of You It's like, you guys are a bunch of You guys are a bunch of losers. guys are a bunch of losers. guys are a bunch of losers. >> There's [laughter] >> There's [laughter] >> There's [laughter] There's a re-embrace There's a There's a re-embrace There's a There's a re-embrace There's a re-embrace of analog kind of Wi-Fi. And re-embrace of analog kind of Wi-Fi. And re-embrace of analog kind of Wi-Fi. And seriously, I mean, I went to the I went seriously, I mean, I went to the I went seriously, I mean, I went to the I went to this gig last night with my son, to this gig last night with my son, to this gig last night with my son, young cut band from LA, audience young cut band from LA, audience young cut band from LA, audience somewhere between 16 and 22. And uh somewhere between 16 and 22. And uh somewhere between 16 and 22. And uh where I usually used to see everyone where I usually used to see everyone where I usually used to see everyone holding up their smartphones and all the holding up their smartphones and all the holding up their smartphones and all the screen, there were plenty of those, but screen, there were plenty of those, but screen, there were plenty of those, but I'd say roughly 50% were old flip I'd say roughly 50% were old flip I'd say roughly 50% were old flip phones. I kid you not. They were phones. I kid you not. They were phones. I kid you not. They were flip phones. There must have been 60, 70 flip phones. There must have been 60, 70 flip phones. There must have been 60, 70 of This wasn't really very very big of This wasn't really very very big of This wasn't really very very big venue. And I stood right at the back. venue. And I stood right at the back. venue. And I stood right at the back. There must have been 60, 70 people with There must have been 60, 70 people with There must have been 60, 70 people with with actual flip phones. Oh, they looked with actual flip phones. Oh, they looked with actual flip phones. Oh, they looked like Motorola RAZR flip phones. And to like Motorola RAZR flip phones. And to like Motorola RAZR flip phones. And to your point, Bill, I mean, I think the your point, Bill, I mean, I think the your point, Bill, I mean, I think the the there is a strong kind of like the there is a strong kind of like the there is a strong kind of like rejection of AI for a variety of reasons rejection of AI for a variety of reasons rejection of AI for a variety of reasons amongst that of that that kind of age amongst that of that that kind of age amongst that of that that kind of age range not least because it's going to range not least because it's going to range not least because it's going to screw with their lives. screw with their lives. screw with their lives. But the tools are still very, you know, But the tools are still very, you know, But the tools are still very, you know, compelling. I mean, at the moment my compelling. I mean, at the moment my compelling. I mean, at the moment my 11-year-old is building multiplayer 11-year-old is building multiplayer 11-year-old is building multiplayer platform games using Cloud Code. And platform games using Cloud Code. And platform games using Cloud Code. And then I'm trying I'm trying to do it with then I'm trying I'm trying to do it with then I'm trying I'm trying to do it with him. So, he's hooked he's hooked on the him. So, he's hooked he's hooked on the him. So, he's hooked he's hooked on the ability to create stuff. He's then ability to create stuff. He's then ability to create stuff. He's then getting to go back reverse back through getting to go back reverse back through getting to go back reverse back through and recreate it. So, he's using VS Code and recreate it. So, he's using VS Code and recreate it. So, he's using VS Code already as a as an adjunct to Cloud already as a as an adjunct to Cloud already as a as an adjunct to Cloud Code. He's taking the code dropping it Code. He's taking the code dropping it Code. He's taking the code dropping it into an HTML, you know, and he's into an HTML, you know, and he's into an HTML, you know, and he's figuring all this out himself over the figuring all this out himself over the figuring all this out himself over the course of the last two or three months.

course of the last two or three months. course of the last two or three months. He's a bright kid. But not not hasn't He's a bright kid. But not not hasn't He's a bright kid. But not not hasn't had any training on on coding or what had any training on on coding or what had any training on on coding or what have you. But but my hope is that we if have you. But but my hope is that we if have you. But but my hope is that we if you can hook him on something that's you can hook him on something that's you can hook him on something that's fairly quick to deliver results, fairly quick to deliver results, fairly quick to deliver results, then he then he needs to go back and then he then he needs to go back and then he then he needs to go back and kind of build the foundation of kind of build the foundation of kind of build the foundation of building. Cuz I agree with you, we're building. Cuz I agree with you, we're building. Cuz I agree with you, we're losing losing losing we're losing the ability. I had a kind we're losing the ability. I had a kind we're losing the ability. I had a kind of long conversation with him the other of long conversation with him the other of long conversation with him the other day. Why do I need to learn math, Dad? day. Why do I need to learn math, Dad? day. Why do I need to learn math, Dad? You know, I can just get the computer to You know, I can just get the computer to You know, I can just get the computer to do it. And and you know, my answer do it. And and you know, my answer do it. And and you know, my answer boiled down to if you don't understand boiled down to if you don't understand boiled down to if you don't understand how the machine works, then how do you how the machine works, then how do you how the machine works, then how do you fix the machine? And and what do you do fix the machine? And and what do you do fix the machine? And and what do you do when the machine, you know, takes over when the machine, you know, takes over when the machine, you know, takes over parts of parts of parts of functions that you don't want it to. functions that you don't want it to. functions that you don't want it to. And and you know, math obviously being And and you know, math obviously being And and you know, math obviously being the root of of all things. the root of of all things. the root of of all things. And he was like, well, okay. And he was like, well, okay. And he was like, well, okay. bought it. bought it. bought it. I don't know whether it means his math I don't know whether it means his math I don't know whether it means his math grade will improve, but you know, grade will improve, but you know, grade will improve, but you know, >> Well, it's >> Well, it's >> Well, it's >> [clears throat] >> [clears throat] >> [clears throat] >> it's even more fundamental than that >> it's even more fundamental than that >> it's even more fundamental than that because math is really it teach you the because math is really it teach you the because math is really it teach you the thinking process. So, it's it's the it's thinking process. So, it's it's the it's thinking process. So, it's it's the it's the language of science. So, if you can the language of science. So, if you can the language of science. So, if you can solve math problem, it gives you the solve math problem, it gives you the solve math problem, it gives you the approach to solve any other problem. So, approach to solve any other problem. So, approach to solve any other problem. So, what people don't realize, I mean, what people don't realize, I mean, what people don't realize, I mean, calculus top of your head doesn't make calculus top of your head doesn't make calculus top of your head doesn't make any sense. 125 * 6993 any sense. 125 * 6993 any sense. 125 * 6993 you don't need you have tools for that.

you don't need you have tools for that. you don't need you have tools for that. But knowing how to do that shapes your But knowing how to do that shapes your But knowing how to do that shapes your brain so that you have a thinking brain so that you have a thinking brain so that you have a thinking process. process. process. >> There's something [snorts] called the >> There's something [snorts] called the >> There's something [snorts] called the order of operations when you're solving order of operations when you're solving order of operations when you're solving a problem. Yeah. a problem. Yeah. a problem. Yeah. >> No, what you mean typing you mean typing >> No, what you mean typing you mean typing >> No, what you mean typing you mean typing typing into chat GPT or into Claude? typing into chat GPT or into Claude? typing into chat GPT or into Claude? >> Yeah, no, no. Order of operations. There >> Yeah, no, no. Order of operations. There >> Yeah, no, no. Order of operations. There is a workflow associated with is a workflow associated with is a workflow associated with >> Yeah, you stop this Yeah, launch Claude, >> Yeah, you stop this Yeah, launch Claude, >> Yeah, you stop this Yeah, launch Claude, ask the question. ask the question. ask the question. >> Wrong answer. Get the answer. Wrong >> Wrong answer. Get the answer. Wrong >> Wrong answer. Get the answer. Wrong answer. answer. answer. >> All right, wait a minute, guys. So, let >> All right, wait a minute, guys. So, let >> All right, wait a minute, guys. So, let let's say hi to the audience. Hey, let's say hi to the audience. Hey, let's say hi to the audience. Hey, everybody. Welcome to IoT Coffee Talk. everybody. Welcome to IoT Coffee Talk. everybody. Welcome to IoT Coffee Talk. And um you know, And um you know, And um you know, uh remember, we do this for the uh remember, we do this for the uh remember, we do this for the communities. We're trying to elevate communities. We're trying to elevate communities. We're trying to elevate communities. And there was some communities. And there was some communities. And there was some interesting talk last week about maybe interesting talk last week about maybe interesting talk last week about maybe doing an event, and I think that's a doing an event, and I think that's a doing an event, and I think that's a really great idea. And we had I think we really great idea. And we had I think we really great idea. And we had I think we have some of that event have some of that event have some of that event um management and development firepower um management and development firepower um management and development firepower in the IoT Coffee Talk crew here that we in the IoT Coffee Talk crew here that we in the IoT Coffee Talk crew here that we can make that happen. So, keep an eye can make that happen. So, keep an eye can make that happen. So, keep an eye out for that cuz I think that might be a out for that cuz I think that might be a out for that cuz I think that might be a real thing.

real thing. real thing. And um yeah, and remember, we're here And um yeah, and remember, we're here And um yeah, and remember, we're here for entertainment purposes only. for entertainment purposes only. for entertainment purposes only. >> [laughter] >> [laughter] >> [laughter] >> Right? [clears throat] We're completely >> Right? [clears throat] We're completely >> Right? [clears throat] We're completely non-informational. non-informational. non-informational. Uh Uh Uh >> But but but but any any any investment >> But but but but any any any investment >> But but but but any any any investment decisions of this one decisions of this one decisions of this one >> Yeah, yeah, yeah. So, um yeah, take it >> Yeah, yeah, yeah. So, um yeah, take it >> Yeah, yeah, yeah. So, um yeah, take it seriously at your own risk. seriously at your own risk. seriously at your own risk. And uh you know, if you take it And uh you know, if you take it And uh you know, if you take it seriously, seriously, seriously, that's pretty much your fault. And we that's pretty much your fault. And we that's pretty much your fault. And we encourage you to take out insurance if encourage you to take out insurance if encourage you to take out insurance if you do. So, anyways, welcome. you do. So, anyways, welcome. you do. So, anyways, welcome. >> Yeah, it's the only part of that where >> Yeah, it's the only part of that where >> Yeah, it's the only part of that where you have to take out insurance to listen you have to take out insurance to listen you have to take out insurance to listen to it. to it. to it. >> Yeah, exactly. >> Yeah, exactly. >> Yeah, exactly. >> Wow. >> Wow. >> Wow. >> Yeah. >> Yeah. >> Yeah. >> Love that. >> Love that. >> Love that. >> Love that. Oh, my gosh. >> Love that. Oh, my gosh. >> Love that. Oh, my gosh. >> Yeah. >> Yeah. >> Yeah. >> I love I'm loving hearing that this >> I love I'm loving hearing that this >> I love I'm loving hearing that this young age group has got flip phones and young age group has got flip phones and young age group has got flip phones and stuff. stuff. stuff. >> Yeah. >> Yeah. >> Yeah. >> Are we going to Are we going to bring >> Are we going to Are we going to bring >> Are we going to Are we going to bring back the StarTAC? back the StarTAC? back the StarTAC? >> I've [snorts] got one. >> I've [snorts] got one. >> I've [snorts] got one. >> Do you? >> Do you? >> Do you? >> [laughter] >> [laughter] >> [laughter] >> Maybe I should offer that to wife, I >> Maybe I should offer that to wife, I >> Maybe I should offer that to wife, I mean, it's funny though, this is the mean, it's funny though, this is the mean, it's funny though, this is the first generation that is being stripped first generation that is being stripped first generation that is being stripped of basic abilities to of basic abilities to of basic abilities to to understand, dissect a problem, source to understand, dissect a problem, source to understand, dissect a problem, source information, synthesize that information, synthesize that information, synthesize that information, and reach conclusion information, and reach conclusion information, and reach conclusion because they are going straight to because they are going straight to because they are going straight to Claude and typing in the question and Claude and typing in the question and Claude and typing in the question and then getting the answer. And it will be then getting the answer. And it will be then getting the answer. And it will be very interesting to see, you know, scary very interesting to see, you know, scary very interesting to see, you know, scary to see what the implications of that to see what the implications of that to see what the implications of that long term are. And and and long term are. And and and long term are. And and and incumbent upon us to figure out how to incumbent upon us to figure out how to incumbent upon us to figure out how to fit How do you fill that gap?

fit How do you fill that gap? fit How do you fill that gap? >> Yeah. >> Yeah. >> Yeah. How do we How do we get How do we end up How do we How do we get How do we end up How do we How do we get How do we end up with people who understand how to code? with people who understand how to code? with people who understand how to code? >> Uh you can't. Um we've already been >> Uh you can't. Um we've already been >> Uh you can't. Um we've already been going through this going through this going through this um with Google. um with Google. um with Google. Um [clears throat] so, people copy and Um [clears throat] so, people copy and Um [clears throat] so, people copy and pasting There's a copy-paste problem pasting There's a copy-paste problem pasting There's a copy-paste problem that we had that we had that we had that we've had over the last two that we've had over the last two that we've had over the last two decades. And so, you know, I I've decades. And so, you know, I I've decades. And so, you know, I I've mentioned this before, you know, back in mentioned this before, you know, back in mentioned this before, you know, back in the day when we had uh laptops and we the day when we had uh laptops and we the day when we had uh laptops and we had to store all of our files for our had to store all of our files for our had to store all of our files for our projects on on our laptops as we're projects on on our laptops as we're projects on on our laptops as we're you know, bouncing across the you know, bouncing across the you know, bouncing across the the country or around the world the country or around the world the country or around the world um and there wasn't this thing called um and there wasn't this thing called um and there wasn't this thing called the internet and cloud. the internet and cloud. the internet and cloud. Um we had to prepare, plan, think, we Um we had to prepare, plan, think, we Um we had to prepare, plan, think, we had to pay attention in meetings. Uh we had to pay attention in meetings. Uh we had to pay attention in meetings. Uh we didn't have all these tools that took didn't have all these tools that took didn't have all these tools that took notes for us. notes for us. notes for us. And um the skill sets and what we were And um the skill sets and what we were And um the skill sets and what we were trained on, right? Um trained on, right? Um trained on, right? Um the sixth sense that we developed as the sixth sense that we developed as the sixth sense that we developed as sentient beings, uh sentient beings, uh sentient beings, uh we were forced to do a hell of a lot of we were forced to do a hell of a lot of we were forced to do a hell of a lot of thinking. Um over time in the consulting thinking. Um over time in the consulting thinking. Um over time in the consulting uh industry, I saw that decline where uh industry, I saw that decline where uh industry, I saw that decline where people were just copying and pasting people were just copying and pasting people were just copying and pasting stuff. There's no original thought, stuff. There's no original thought, stuff. There's no original thought, inability to create original thought inability to create original thought inability to create original thought because everyone was just copying and because everyone was just copying and because everyone was just copying and pasting stuff.

pasting stuff. pasting stuff. And I I I can't tell you toward the end And I I I can't tell you toward the end And I I I can't tell you toward the end of my consulting of my consulting of my consulting um um um career, career, career, I had to throw away so much stuff I had to throw away so much stuff I had to throw away so much stuff because it it was you know, that people because it it was you know, that people because it it was you know, that people were producing because it was flat out were producing because it was flat out were producing because it was flat out copied. copied. copied. >> But don't worry. Don't worry. The stuff >> But don't worry. Don't worry. The stuff >> But don't worry. Don't worry. The stuff you created is the stuff you've created you created is the stuff you've created you created is the stuff you've created is going to live on in PowerPoint decks is going to live on in PowerPoint decks is going to live on in PowerPoint decks delivered by delivered by delivered by the world's largest consulting firms the world's largest consulting firms the world's largest consulting firms when they present it to their customers when they present it to their customers when they present it to their customers as their own stuff like we've probably as their own stuff like we've probably as their own stuff like we've probably all seen before. all seen before. all seen before. >> Oh, yeah. >> Oh, yeah. >> Oh, yeah. >> I'm [laughter] not going to >> I'm [laughter] not going to >> I'm [laughter] not going to I'm not going to name any names of the I'm not going to name any names of the I'm not going to name any names of the biggest consulting firms on the planet biggest consulting firms on the planet biggest consulting firms on the planet that I see that all the time. They're that I see that all the time. They're that I see that all the time. They're like, you guys you guys don't have an like, you guys you guys don't have an like, you guys you guys don't have an original thought, do you? original thought, do you? original thought, do you? >> [laughter] >> [laughter] >> [laughter] >> Well, I mean they just lost it, right? I >> Well, I mean they just lost it, right? I >> Well, I mean they just lost it, right? I mean at the end of the day, you know, mean at the end of the day, you know, mean at the end of the day, you know, they they make thousands of phone calls they they make thousands of phone calls they they make thousands of phone calls to folks to folks to folks like us. like us. like us. Your name doesn't get mentioned, but Your name doesn't get mentioned, but Your name doesn't get mentioned, but your your data is there. Everything that your your data is there. Everything that your your data is there. Everything that you've told them has been you've told them has been you've told them has been either formatted and synthesized to some either formatted and synthesized to some either formatted and synthesized to some level, but you know who said what. And level, but you know who said what. And level, but you know who said what. And and you know, the the the way that I and you know, the the the way that I and you know, the the the way that I mean for me the the the fun part is, you mean for me the the the fun part is, you mean for me the the the fun part is, you know, someone wants to ask me a a slick know, someone wants to ask me a a slick know, someone wants to ask me a a slick question, let's have a conversation.

question, let's have a conversation. question, let's have a conversation. Let's talk about that. When you start Let's talk about that. When you start Let's talk about that. When you start saying that this this is wrong and this saying that this this is wrong and this saying that this this is wrong and this is right, let's talk about that. is right, let's talk about that. is right, let's talk about that. And then peel the onion back because I And then peel the onion back because I And then peel the onion back because I guarantee you somewhere along the way guarantee you somewhere along the way guarantee you somewhere along the way the fumes of that onion are going to the fumes of that onion are going to the fumes of that onion are going to burn the out of your eyes. burn the out of your eyes. burn the out of your eyes. >> He was hoping you were going to talk >> He was hoping you were going to talk >> He was hoping you were going to talk about pop music, but instead it was about pop music, but instead it was about pop music, but instead it was onions burning your eyes. onions burning your eyes. onions burning your eyes. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> [laughter] >> [laughter] >> [laughter] >> That's literally what it is. >> That's literally what it is. >> That's literally what it is. >> Wow. Wow. >> Wow. Wow. >> Wow. Wow. >> I mean I think consultants I mean back >> I mean I think consultants I mean back >> I mean I think consultants I mean back in the '90s, mid '90s I spent a stint as in the '90s, mid '90s I spent a stint as in the '90s, mid '90s I spent a stint as a consultant and I you know, I was a consultant and I you know, I was a consultant and I you know, I was actually talking to a friend of mine who actually talking to a friend of mine who actually talking to a friend of mine who stayed stayed the course and is like stayed stayed the course and is like stayed stayed the course and is like partner and in a firm I won't name. And partner and in a firm I won't name. And partner and in a firm I won't name. And he said to me that what we're what we're he said to me that what we're what we're he said to me that what we're what we're now doing and what we're being paid to now doing and what we're being paid to now doing and what we're being paid to do is helping enterprises to out how to do is helping enterprises to out how to do is helping enterprises to out how to adopt AI. adopt AI. adopt AI. That's it. You know, That's it. You know, That's it. You know, no there's no there's no there's people don't ask us questions. There's people don't ask us questions. There's people don't ask us questions. There's no market study anymore. There's no no market study anymore. There's no no market study anymore. There's no strengths and weaknesses of your strengths and weaknesses of your strengths and weaknesses of your competitors. There's no all of that competitors. There's no all of that competitors. There's no all of that stuff out the window cuz people just use stuff out the window cuz people just use stuff out the window cuz people just use ChatGPT or Claude or, you know, ChatGPT or Claude or, you know, ChatGPT or Claude or, you know, whichever tool they prefer.

whichever tool they prefer. whichever tool they prefer. And and so our job is really serving up And and so our job is really serving up And and so our job is really serving up the serving up the means of our own doom the serving up the means of our own doom the serving up the means of our own doom is how he put it, which was kind is how he put it, which was kind is how he put it, which was kind >> Yeah, no, but but the outcome of that is >> Yeah, no, but but the outcome of that is >> Yeah, no, but but the outcome of that is fine because it actually creates fine because it actually creates fine because it actually creates you know, people can create you know, people can create you know, people can create uh opportunities for themselves because uh opportunities for themselves because uh opportunities for themselves because as the noise floor rises as the noise floor rises as the noise floor rises that that that is is is creates higher value opportunities for creates higher value opportunities for creates higher value opportunities for people who can filter through the noise. people who can filter through the noise. people who can filter through the noise. So I mean you know what I'm saying? It So I mean you know what I'm saying? It So I mean you know what I'm saying? It It's It's not all doom and gloom and at It's It's not all doom and gloom and at It's It's not all doom and gloom and at some point um the real money is going to some point um the real money is going to some point um the real money is going to follow grounded stuff. follow grounded stuff. follow grounded stuff. Um Um Um >> Yeah. >> Yeah. >> Yeah. >> So >> So >> So uh uh uh yeah, that I I'm I'm not afraid of that. yeah, that I I'm I'm not afraid of that. yeah, that I I'm I'm not afraid of that. The thing is The thing is The thing is is more concerning is um the state of is more concerning is um the state of is more concerning is um the state of society society society as cognition continues to decline. I as cognition continues to decline. I as cognition continues to decline. I mean, we have to exercise our brains mean, we have to exercise our brains mean, we have to exercise our brains constantly, especially as we get older.

constantly, especially as we get older. constantly, especially as we get older. Otherwise, man Otherwise, man Otherwise, man you know what I'm saying? you know what I'm saying? you know what I'm saying? >> You're going to be with a keytar. That's >> You're going to be with a keytar. That's >> You're going to be with a keytar. That's how it's going to work out for you, man. how it's going to work out for you, man. how it's going to work out for you, man. You're going to be with Howard Jones. You're going to be with Howard Jones. You're going to be with Howard Jones. >> Howard Jones. >> Howard Jones. >> Howard Jones. Top of the pops. Top of the pops. Top of the pops. You know how sometimes you work really You know how sometimes you work really You know how sometimes you work really hard on a post and you think it's the hard on a post and you think it's the hard on a post and you think it's the most important thing you've ever done most important thing you've ever done most important thing you've ever done and like five people like it. and like five people like it. and like five people like it. >> Yeah. >> Yeah. >> Yeah. >> And then I post Howard Jones, you know, >> And then I post Howard Jones, you know, >> And then I post Howard Jones, you know, from the '80s and there's like 4,000 from the '80s and there's like 4,000 from the '80s and there's like 4,000 likes and likes and likes and >> Oh my god. >> Oh my god. >> Oh my god. >> 280 comments. This is the best thing >> 280 comments. This is the best thing >> 280 comments. This is the best thing I've ever seen on the internet. I've ever seen on the internet. I've ever seen on the internet. >> [laughter] >> There's a message hiding in here, I >> There's a message hiding in here, I think, about this. think, about this. think, about this. >> Well, you you you have to tell us about >> Well, you you you have to tell us about >> Well, you you you have to tell us about the other 65 Rob Tiffany, Rob. the other 65 Rob Tiffany, Rob. the other 65 Rob Tiffany, Rob. >> Mhm. >> Mhm. >> Mhm. >> No, no, no. And I'll tell you right now >> No, no, no. And I'll tell you right now >> No, no, no. And I'll tell you right now I'll tell you right now, all this stuff I'll tell you right now, all this stuff I'll tell you right now, all this stuff is fake. is fake. is fake. All this stuff is fake. All this stuff is fake. All this stuff is fake. Um Um Um >> Is that air you're breathing? >> Is that air you're breathing? >> Is that air you're breathing? >> Exactly. >> Exactly. >> Exactly. It is. And so um It is. And so um It is. And so um you you you just can't take you you you just can't take you you you just can't take you you just can't take things you you just can't take things you you just can't take things seriously. And and but it's not all seriously. And and but it's not all seriously. And and but it's not all because of AI, it's because of all this because of AI, it's because of all this because of AI, it's because of all this synthetic content, contrived mar- you synthetic content, contrived mar- you synthetic content, contrived mar- you know, know, know, uh this perception that impressions are uh this perception that impressions are uh this perception that impressions are everything. And subscribers and everything. And subscribers and everything. And subscribers and followers are everything. You know, most followers are everything. You know, most followers are everything. You know, most of them are fake. They're all these of them are fake. They're all these of them are fake. They're all these click farms out there click farms out there click farms out there and that and engagement farms that are and that and engagement farms that are and that and engagement farms that are producing synthetic engagement. And this

producing synthetic engagement. And this producing synthetic engagement. And this is something that Debbie and I talked is something that Debbie and I talked is something that Debbie and I talked about a long time ago, as usual, right, about a long time ago, as usual, right, about a long time ago, as usual, right, Rob? And Rob? And Rob? And and now you have Meta buying open Did and now you have Meta buying open Did and now you have Meta buying open Did they Didn't they acquire Open Cloud? they Didn't they acquire Open Cloud? they Didn't they acquire Open Cloud? >> Well, no. >> Well, no. >> Well, no. They bought Molbook. They bought Molbook. They bought Molbook. >> Yeah, Molbook. >> Yeah, Molbook. >> Yeah, Molbook. >> A social network for agents to talk to >> A social network for agents to talk to >> A social network for agents to talk to each other. Yeah. each other. Yeah. each other. Yeah. >> But why? >> But why? >> But why? >> You know, but think about the value now >> You know, but think about the value now >> You know, but think about the value now in the in back in the day, you were in the in back in the day, you were in the in back in the day, you were having to pay a whole lot of people in having to pay a whole lot of people in having to pay a whole lot of people in the Philippines for your click farm. And the Philippines for your click farm. And the Philippines for your click farm. And now you can just have legions of agents now you can just have legions of agents now you can just have legions of agents doing it for you. doing it for you. doing it for you. >> Yes, sir. >> Yes, sir. >> Yes, sir. >> Well, I mean, you have those agents even >> Well, I mean, you have those agents even >> Well, I mean, you have those agents even responding, right? I mean, you look you responding, right? I mean, you look you responding, right? I mean, you look you do anything. If you're on Reddit, if do anything. If you're on Reddit, if do anything. If you're on Reddit, if you're on anywhere else, you got to look you're on anywhere else, you got to look you're on anywhere else, you got to look at the responses to see, is that a bot? at the responses to see, is that a bot? at the responses to see, is that a bot? >> Yeah. >> Yeah. >> Yeah. Yeah. I mean Yeah. I mean Yeah. I mean >> There's actually that maybe there's hope >> There's actually that maybe there's hope >> There's actually that maybe there's hope in this dimension because we we might in this dimension because we we might in this dimension because we we might reach a point where all those things reach a point where all those things reach a point where all those things actually spends our time talking actually spends our time talking actually spends our time talking together and we can get out of it. So, together and we can get out of it. So, together and we can get out of it. So, the the matrix became a matrix for the the the matrix became a matrix for the the the matrix became a matrix for the That's a great idea. Actually, the That's a great idea. Actually, the That's a great idea. Actually, the matrix is reversed.

matrix is reversed. matrix is reversed. It's not It's not the humans that are in It's not It's not the humans that are in It's not It's not the humans that are in the matrix. It's the machine. We put a the matrix. It's the machine. We put a the matrix. It's the machine. We put a matrix for the machines to be inside and matrix for the machines to be inside and matrix for the machines to be inside and they just burn venture capital. That's they just burn venture capital. That's they just burn venture capital. That's the sole purp- sole purpose is to burn the sole purp- sole purpose is to burn the sole purp- sole purpose is to burn venture capital. venture capital. venture capital. >> Not virtual capital though. That's the >> Not virtual capital though. That's the >> Not virtual capital though. That's the problem. problem. problem. >> That's the way you That's the way you >> That's the way you That's the way you >> That's the way you That's the way you change the world. You create that change the world. You create that change the world. You create that infrastructure where all those infrastructure where all those infrastructure where all those investment go and work into one area investment go and work into one area investment go and work into one area where they just talk to each other. where they just talk to each other. where they just talk to each other. >> No, but the problem is it's not virtual >> No, but the problem is it's not virtual >> No, but the problem is it's not virtual um capital. It's real money. Advertisers um capital. It's real money. Advertisers um capital. It's real money. Advertisers dumping a ton of money into these dumping a ton of money into these dumping a ton of money into these platforms like Meta and Google Search. platforms like Meta and Google Search. platforms like Meta and Google Search. >> this this money >> this this money >> this this money This money is This money is This money is >> is fake. >> is fake. >> is fake. >> I I think I think kids are, you know, >> I I think I think kids are, you know, >> I I think I think kids are, you know, again going with Monty, the kids are again going with Monty, the kids are again going with Monty, the kids are very, very attuned to AI-generated very, very attuned to AI-generated very, very attuned to AI-generated content. Um content. Um content. Um very, very attuned. Yeah, yeah, yeah, very, very attuned. Yeah, yeah, yeah, very, very attuned. Yeah, yeah, yeah, yeah. I mean, they sit and watch um yeah. I mean, they sit and watch um yeah. I mean, they sit and watch um YouTube videos with my wife quite YouTube videos with my wife quite YouTube videos with my wife quite frequently. And and they are expert at frequently. And and they are expert at frequently. And and they are expert at spotting what is AI. And then it's a spotting what is AI. And then it's a spotting what is AI. And then it's a fairly instant rejection of So, I do fairly instant rejection of So, I do fairly instant rejection of So, I do think you you might be right to me. I think you you might be right to me. I think you you might be right to me. I mean, I there is a hope in me that there mean, I there is a hope in me that there mean, I there is a hope in me that there is more focus now on creative is more focus now on creative is more focus now on creative professions. Um both my kids are professions. Um both my kids are professions. Um both my kids are like, "We weren't What What's the point like, "We weren't What What's the point like, "We weren't What What's the point of being you know, going into into um of being you know, going into into um of being you know, going into into um computer you know, the IT world, etc.?

computer you know, the IT world, etc.? computer you know, the IT world, etc.? Um we're we're going to go and do art Um we're we're going to go and do art Um we're we're going to go and do art and design." There's more focus on and design." There's more focus on and design." There's more focus on people actually talking to each other um people actually talking to each other um people actually talking to each other um and community um which has a long way to and community um which has a long way to and community um which has a long way to catch up post-COVID because we all got catch up post-COVID because we all got catch up post-COVID because we all got used to not talking to each other used to not talking to each other used to not talking to each other face-to-face. Um so, there is hope I face-to-face. Um so, there is hope I face-to-face. Um so, there is hope I think in this generation and they they think in this generation and they they think in this generation and they they rejection of of what's happening right rejection of of what's happening right rejection of of what's happening right now is is firm. I mean, it is firm. Um now is is firm. I mean, it is firm. Um now is is firm. I mean, it is firm. Um and they can discern the difference. So, and they can discern the difference. So, and they can discern the difference. So, they might be losing the cognitive they might be losing the cognitive they might be losing the cognitive ability to define and analyze a problem, ability to define and analyze a problem, ability to define and analyze a problem, etc., etc., but they're they're they're etc., etc., but they're they're they're etc., etc., but they're they're they're developing a more, let's say, critical developing a more, let's say, critical developing a more, let's say, critical filter filter filter >> Hopefully. >> Hopefully. >> Hopefully. >> to be able to filter out the the drops >> to be able to filter out the the drops >> to be able to filter out the the drops from from all the stuff that's being from from all the stuff that's being from from all the stuff that's being thrown out there. But the volume worries thrown out there. But the volume worries thrown out there. But the volume worries me because there is so much so much so me because there is so much so much so me because there is so much so much so much so much. LinkedIn we talked about much so much. LinkedIn we talked about much so much. LinkedIn we talked about before LinkedIn is is worth is quite before LinkedIn is is worth is quite before LinkedIn is is worth is quite useless at this point because so much of useless at this point because so much of useless at this point because so much of the content is you know here's my AI the content is you know here's my AI the content is you know here's my AI generated you know design to to you know generated you know design to to you know generated you know design to to you know get get get get grab attention from people content get grab attention from people content get grab attention from people content and and it isn't and and it isn't and and it isn't >> [clears throat] >> [clears throat] >> [clears throat] >> it's very difficult to actually find >> it's very difficult to actually find >> it's very difficult to actually find useful information amongst all of the useful information amongst all of the useful information amongst all of the noise and noise and noise and >> That [clears throat] that part right >> That [clears throat] that part right >> That [clears throat] that part right there you you are spot on with that one.

there you you are spot on with that one. there you you are spot on with that one. I I can't tell you how how many times a I I can't tell you how how many times a I I can't tell you how how many times a week I get people sending me stuff week I get people sending me stuff week I get people sending me stuff saying did you see this guy you see what saying did you see this guy you see what saying did you see this guy you see what he said about digital twins. I'm looking he said about digital twins. I'm looking he said about digital twins. I'm looking at it and I'm like this is AI generated. at it and I'm like this is AI generated. at it and I'm like this is AI generated. I could care I could give less than I I could care I could give less than I I could care I could give less than I could care less about something that I could care less about something that I could care less about something that I don't know about don't know about don't know about >> You're going to come out with something >> You're going to come out with something >> You're going to come out with something creative creative creative >> How many of those F's are you not going >> How many of those F's are you not going >> How many of those F's are you not going to give? to give? to give? >> I see [laughter] >> I see [laughter] >> I see [laughter] I'm I'm I'm I'm just saying I don't want to get you I'm just saying I don't want to get you I'm just saying I don't want to get you know we're too early into the end of the know we're too early into the end of the know we're too early into the end of the talk for me to just get crazy like that. talk for me to just get crazy like that. talk for me to just get crazy like that. >> Oh we love the crazy. Hey that's what >> Oh we love the crazy. Hey that's what >> Oh we love the crazy. Hey that's what builds our audience is when people go builds our audience is when people go builds our audience is when people go crazy and start the podcast. crazy and start the podcast. crazy and start the podcast. >> I mean but for real it's like all of a >> I mean but for real it's like all of a >> I mean but for real it's like all of a sudden you have like you know 2000 sudden you have like you know 2000 sudden you have like you know 2000 people that are experts in this space. people that are experts in this space. people that are experts in this space. And I'm like you know what And I'm like you know what And I'm like you know what >> If you say that you're if you qualify >> If you say that you're if you qualify >> If you say that you're if you qualify yourself as an expert if you are calling yourself as an expert if you are calling yourself as an expert if you are calling yourself an expert if that's the the if yourself an expert if that's the the if yourself an expert if that's the the if that's the that's the that's the the name that you're giving yourself the name that you're giving yourself the name that you're giving yourself then I mean damn it you better be like then I mean damn it you better be like then I mean damn it you better be like you better be the Tony Robbins of you better be the Tony Robbins of you better be the Tony Robbins of whatever it is that you're talking whatever it is that you're talking whatever it is that you're talking about. [laughter] about. [laughter] about. [laughter] Because if [clears throat] if you're not Because if [clears throat] if you're not Because if [clears throat] if you're not you know kick rocks and don't let the you know kick rocks and don't let the you know kick rocks and don't let the door knob hit you door knob hit you door knob hit you because I I don't I don't have I don't because I I don't I don't have I don't because I I don't I don't have I don't have anything for all of these things I have anything for all of these things I have anything for all of these things I mean you know if you have time to post mean you know if you have time to post mean you know if you have time to post three four five times a week Being three four five times a week Being three four five times a week Being about a specific subject, about a specific subject, about a specific subject, one or two things is happening. Either one or two things is happening. Either one or two things is happening. Either you don't have anything else to do, you don't have anything else to do, you don't have anything else to do, >> [clears throat] >> [clears throat] >> [clears throat] >> or [snorts] unemployed.

>> or [snorts] unemployed. >> or [snorts] unemployed. That's one, right? You don't have That's one, right? You don't have That's one, right? You don't have anything else to do, or you are anything else to do, or you are anything else to do, or you are clamoring for attention. clamoring for attention. clamoring for attention. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Sorry. >> Sorry. >> No, no. We were talking about, you know, >> No, no. We were talking about, you know, >> No, no. We were talking about, you know, kind of society that have issues, and kind of society that have issues, and kind of society that have issues, and and that's kind of the I think that's and that's kind of the I think that's and that's kind of the I think that's kind of the the biggest point here kind of the the biggest point here kind of the the biggest point here because because because we see how some of our leaders operate we see how some of our leaders operate we see how some of our leaders operate by saturating the media space with by saturating the media space with by saturating the media space with content and thing like that. So, this is content and thing like that. So, this is content and thing like that. So, this is just I mean, it's a mechanism. So, and just I mean, it's a mechanism. So, and just I mean, it's a mechanism. So, and unless there is a generation as Alister unless there is a generation as Alister unless there is a generation as Alister was saying that's starting to realize was saying that's starting to realize was saying that's starting to realize that enough is enough and we have to that enough is enough and we have to that enough is enough and we have to build another model with other values build another model with other values build another model with other values and other education because the only the and other education because the only the and other education because the only the only way to solve that is education. only way to solve that is education. only way to solve that is education. It's just the only way to do that. It's just the only way to do that. It's just the only way to do that. >> Yeah, but you know what really bothers >> Yeah, but you know what really bothers >> Yeah, but you know what really bothers me more than the um me more than the um me more than the um the impact that AI has on the younger the impact that AI has on the younger the impact that AI has on the younger generations, what it's generations, what it's generations, what it's the impact that's having on older the impact that's having on older the impact that's having on older generations. generations. generations. >> totally. Yeah. >> totally. Yeah. >> totally. Yeah. >> They passed the bakery, you know, there >> They passed the bakery, you know, there >> They passed the bakery, you know, there I mean, like my parents I mean, like my parents I mean, like my parents >> Yeah. >> Yeah. >> Yeah. >> are I mean, >> are I mean, >> are I mean, they are problematic. [laughter] they are problematic. [laughter] they are problematic. [laughter] They will share all this fake stuff and They will share all this fake stuff and They will share all this fake stuff and they will add it's true.

they will add it's true. they will add it's true. >> Yeah. >> Yeah. >> Yeah. >> And they are so gullible. It's >> And they are so gullible. It's >> And they are so gullible. It's unbelievable, and it's just unbelievable, and it's just unbelievable, and it's just starting. And what really scares me is starting. And what really scares me is starting. And what really scares me is are these um are these um are these um you know, engineered uh you know, engineered uh you know, engineered uh and generative AI assisted and uh you and generative AI assisted and uh you and generative AI assisted and uh you know, engineered um know, engineered um know, engineered um spam emails and fishing attacks. spam emails and fishing attacks. spam emails and fishing attacks. >> Yeah. >> Yeah. >> Yeah. >> I get them, and they're convincing. >> I get them, and they're convincing. >> I get them, and they're convincing. >> Yeah. >> Yeah. >> Yeah. >> My parents get them and other folks in >> My parents get them and other folks in >> My parents get them and other folks in their generation their generation their generation >> Click, click, click. >> Click, click, click. >> Click, click, click. >> Oh my god. Yeah. >> Oh my god. Yeah. >> Oh my god. Yeah. >> But I was saying I think what's >> But I was saying I think what's >> But I was saying I think what's happening now is people are spending happening now is people are spending happening now is people are spending more time actually use more time actually use more time actually use How many people are using chat GPT and How many people are using chat GPT and How many people are using chat GPT and typing in take this AI generated content typing in take this AI generated content typing in take this AI generated content and make it sound as though I wrote it? and make it sound as though I wrote it? and make it sound as though I wrote it? Because I think now that's the thing. Because I think now that's the thing. Because I think now that's the thing. Everybody can generate the same report Everybody can generate the same report Everybody can generate the same report in chat GPT. Had a discussion with with in chat GPT. Had a discussion with with in chat GPT. Had a discussion with with kind of team meeting the other day. kind of team meeting the other day. kind of team meeting the other day. Everyone can generate the same content Everyone can generate the same content Everyone can generate the same content using chat GPT or whichever tool you using chat GPT or whichever tool you using chat GPT or whichever tool you like. But who actually understands what like. But who actually understands what like. But who actually understands what they're talking about and as you said they're talking about and as you said they're talking about and as you said Bill, who can actually figure out what Bill, who can actually figure out what Bill, who can actually figure out what the answer to the problem is? Yeah.

the answer to the problem is? Yeah. the answer to the problem is? Yeah. Increasingly you see people I do I do I Increasingly you see people I do I do I Increasingly you see people I do I do I don't make slides anymore. I draw. I don't make slides anymore. I draw. I don't make slides anymore. I draw. I write. You know, analog. You know, write. You know, analog. You know, write. You know, analog. You know, here's here's the diagram of how you here's here's the diagram of how you here's here's the diagram of how you know, it could work. know, it could work. know, it could work. But but as people start to use AI to But but as people start to use AI to But but as people start to use AI to make AI sound more human the the problem make AI sound more human the the problem make AI sound more human the the problem that you pointed to Leonard will just that you pointed to Leonard will just that you pointed to Leonard will just get more more more pronounced. But I get more more more pronounced. But I get more more more pronounced. But I would guarantee I would bet 90% of of of would guarantee I would bet 90% of of of would guarantee I would bet 90% of of of executives um are typing some some executives um are typing some some executives um are typing some some derivation of that request into an AI. derivation of that request into an AI. derivation of that request into an AI. Make this content sound like I wrote it. Make this content sound like I wrote it. Make this content sound like I wrote it. Make this uh Make this uh Make this uh Look as though I wrote that. Mess it up Look as though I wrote that. Mess it up Look as though I wrote that. Mess it up a little bit. Add a few spelling a little bit. Add a few spelling a little bit. Add a few spelling mistakes. Don't use the same word. mistakes. Don't use the same word. mistakes. Don't use the same word. >> Look put that um thing. >> Look put that um thing. >> Look put that um thing. >> on nonsense. >> on nonsense. >> on nonsense. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah, but the thing is on your on the >> Yeah, but the thing is on your on the >> Yeah, but the thing is on your on the other way other way other way why why I'm back to my matrix ideas of why why I'm back to my matrix ideas of why why I'm back to my matrix ideas of the people that receive that do the the people that receive that do the the people that receive that do the same. So there is a point where this is same. So there is a point where this is same. So there is a point where this is going to circle back. So and then the going to circle back. So and then the going to circle back. So and then the hope is that a new generation emerge hope is that a new generation emerge hope is that a new generation emerge saying this is I want to build saying this is I want to build saying this is I want to build another society. Or the whole thing another society. Or the whole thing another society. Or the whole thing collapse. So this is really the question collapse. So this is really the question collapse. So this is really the question to ask. This is really the question to ask. This is really the question to ask. This is really the question fundamentally. Because yeah, this whole fundamentally. Because yeah, this whole fundamentally. Because yeah, this whole content is produced by AI, but I receive content is produced by AI, but I receive content is produced by AI, but I receive it. I also use AI to process it. So it. I also use AI to process it. So it. I also use AI to process it. So it's going to circle back.

it's going to circle back. it's going to circle back. >> Yeah, and here's the great thing is um >> Yeah, and here's the great thing is um >> Yeah, and here's the great thing is um uh uh uh AI is completely optional. There is no AI is completely optional. There is no AI is completely optional. There is no essentiality in any of this stuff. It's essentiality in any of this stuff. It's essentiality in any of this stuff. It's just convenience. It's like e-commerce. just convenience. It's like e-commerce. just convenience. It's like e-commerce. You don't really need it. Uh it hasn't You don't really need it. Uh it hasn't You don't really need it. Uh it hasn't necessarily transformed retail as we necessarily transformed retail as we necessarily transformed retail as we know it because of the internet. know it because of the internet. know it because of the internet. >> I can drive my car to a Amazon >> I can drive my car to a Amazon >> I can drive my car to a Amazon fulfillment center and go in and go fulfillment center and go in and go fulfillment center and go in and go shopping there? shopping there? shopping there? >> Yes, and then you can have your own damn >> Yes, and then you can have your own damn >> Yes, and then you can have your own damn delivery service, dude. Or you you know, delivery service, dude. Or you you know, delivery service, dude. Or you you know, it's it's it's there's nothing original about it. That there's nothing original about it. That there's nothing original about it. That concept is service merchandise, dude. concept is service merchandise, dude. concept is service merchandise, dude. [laughter] [laughter] [laughter] >> No, you can drive >> No, you can drive >> No, you can drive >> Service Merchandise? >> Service Merchandise? >> Service Merchandise? >> I do remember. >> I do remember. >> I do remember. >> Forget that's toy catalog ever, >> Forget that's toy catalog ever, >> Forget that's toy catalog ever, especially their Star Wars collection. especially their Star Wars collection. especially their Star Wars collection. >> It's actually >> It's actually >> It's actually The alternative, Rob, is not to drive to The alternative, Rob, is not to drive to The alternative, Rob, is not to drive to the Amazon center. The alternative is to the Amazon center. The alternative is to the Amazon center. The alternative is to drive to the producer. drive to the producer. drive to the producer. Oh. Oh. Oh. >> What? I thought it was all produced >> What? I thought it was all produced >> What? I thought it was all produced inside that building. What? inside that building. What? inside that building. What? Like kind of like Santa's elves create Like kind of like Santa's elves create Like kind of like Santa's elves create video game consoles out of wood.

video game consoles out of wood. video game consoles out of wood. >> Well, you mean the North Pole You mean >> Well, you mean the North Pole You mean >> Well, you mean the North Pole You mean the North Pole with Santa, right? the North Pole with Santa, right? the North Pole with Santa, right? >> Yeah. >> Yeah. >> Yeah. I've been putting some dots together. I I've been putting some dots together. I I've been putting some dots together. I was thinking about the IoT conference was thinking about the IoT conference was thinking about the IoT conference that we're going to have maybe in that we're going to have maybe in that we're going to have maybe in Bandera, Texas. But then thinking of a Bandera, Texas. But then thinking of a Bandera, Texas. But then thinking of a conference, I was also thinking of you conference, I was also thinking of you conference, I was also thinking of you know, I got Bill and Demetri here, the know, I got Bill and Demetri here, the know, I got Bill and Demetri here, the leading digital twin people on the leading digital twin people on the leading digital twin people on the planet. Bill talking about people planet. Bill talking about people planet. Bill talking about people Bill talking about full of people Bill talking about full of people Bill talking about full of people writing about digital twins. I was like, writing about digital twins. I was like, writing about digital twins. I was like, we need to have a digital twin we need to have a digital twin we need to have a digital twin conference. But he also mentioned Tony conference. But he also mentioned Tony conference. But he also mentioned Tony Robbins. So I think in our digital twin Robbins. So I think in our digital twin Robbins. So I think in our digital twin conference, people have to walk on hot conference, people have to walk on hot conference, people have to walk on hot coals as far [laughter] coals as far [laughter] coals as far [laughter] for their final exam to prove that they for their final exam to prove that they for their final exam to prove that they actually know what they're talking actually know what they're talking actually know what they're talking about. about. about. >> they don't have to just walk on hot >> they don't have to just walk on hot >> they don't have to just walk on hot coals. They have to walk on hot coals coals. They have to walk on hot coals coals. They have to walk on hot coals while writing code to build digital while writing code to build digital while writing code to build digital twins. twins. twins. >> Yes. Yes. I [laughter] love that. >> Yes. Yes. I [laughter] love that. >> Yes. Yes. I [laughter] love that. >> By the end OF THE TRACK >> I LOVE THAT. That's awesome. >> I LOVE THAT. That's awesome. >> on a terminal connected to a mini >> on a terminal connected to a mini >> on a terminal connected to a mini computer or a mainframe. computer or a mainframe. computer or a mainframe. >> [laughter] >> [laughter] >> [laughter] >> Not on one of those Chromebook nonsense >> Not on one of those Chromebook nonsense >> Not on one of those Chromebook nonsense things, okay?

things, okay? things, okay? >> We're going to build digital twins with >> We're going to build digital twins with >> We're going to build digital twins with kick screens. kick screens. kick screens. >> Yeah. >> Yeah. >> Yeah. >> Anybody remember those? IBM? Never mind. >> Anybody remember those? IBM? Never mind. >> Anybody remember those? IBM? Never mind. >> Yeah. Whatever. >> Yeah. Whatever. >> Yeah. Whatever. >> IBM, man. >> IBM, man. >> IBM, man. >> That's old stuff. >> That's old stuff. >> That's old stuff. >> Service Merchandise. >> Service Merchandise. >> Service Merchandise. >> love Have you ever seen that ad on TV? >> love Have you ever seen that ad on TV? >> love Have you ever seen that ad on TV? You know, I forgot who it is. They're on You know, I forgot who it is. They're on You know, I forgot who it is. They're on a factory and the factory's not working a factory and the factory's not working a factory and the factory's not working and the girl goes, "We need someone who and the girl goes, "We need someone who and the girl goes, "We need someone who knows COBOL." And the guy's like, knows COBOL." And the guy's like, knows COBOL." And the guy's like, "What's COBOL?" [laughter] "What's COBOL?" [laughter] "What's COBOL?" [laughter] He's got his hard hat on. They're like, He's got his hard hat on. They're like, He's got his hard hat on. They're like, you know, working and the robot's you know, working and the robot's you know, working and the robot's smashing into the windshield of the cars smashing into the windshield of the cars smashing into the windshield of the cars when they think [laughter] when they think [laughter] when they think [laughter] Where do we go? Where do we go? Where do we go? >> You know, think about that. Um, >> You know, think about that. Um, >> You know, think about that. Um, with um, with um, with um, all the technical debt out there, and all the technical debt out there, and all the technical debt out there, and the reason why you you still have the reason why you you still have the reason why you you still have systems that are based on COBOL. systems that are based on COBOL. systems that are based on COBOL. >> But do you know why? >> But do you know why? >> But do you know why? Why? Why? Why? Do you know why? Do you know why? Do you know why? There are so many There are so many There are so many Why there are so many so many systems Why there are so many so many systems Why there are so many so many systems still on COBOL? Because it was a great still on COBOL? Because it was a great still on COBOL? Because it was a great powerful language to process powerful language to process powerful language to process transactions. transactions. transactions. >> Well, yeah, but there is that, but the >> Well, yeah, but there is that, but the >> Well, yeah, but there is that, but the reason why it can't modernize is that reason why it can't modernize is that reason why it can't modernize is that all the people that knew how that stuff all the people that knew how that stuff all the people that knew how that stuff works are dead now, or they're retired, works are dead now, or they're retired, works are dead now, or they're retired, and they cost $100,000 an hour to hire and they cost $100,000 an hour to hire and they cost $100,000 an hour to hire uh to unravel all that mess.

uh to unravel all that mess. uh to unravel all that mess. Um, and there is no there's no Um, and there is no there's no Um, and there is no there's no documentation, right? And so, it makes documentation, right? And so, it makes documentation, right? And so, it makes it really difficult for all that to be it really difficult for all that to be it really difficult for all that to be unraveled. But, it it's a testament to unraveled. But, it it's a testament to unraveled. But, it it's a testament to what we're looking forward to where what we're looking forward to where what we're looking forward to where everybody is vibe coding and working everybody is vibe coding and working everybody is vibe coding and working with these abstractions and to, you with these abstractions and to, you with these abstractions and to, you know, Bill and Alister's point, know, Bill and Alister's point, know, Bill and Alister's point, you don't know what how things work, you don't know what how things work, you don't know what how things work, eventually you can never fix eventually you can never fix eventually you can never fix what gets broken, what gets broken, what gets broken, right? And that that's such a right? And that that's such a right? And that that's such a That's That's such a That's That's such a That's That's such a >> [snorts] >> [snorts] >> [snorts] >> uh a >> uh a >> uh a That thinking is such a disservice That thinking is such a disservice That thinking is such a disservice because going for what I'm afraid of is because going for what I'm afraid of is because going for what I'm afraid of is this is that we will find out that we this is that we will find out that we this is that we will find out that we actually do need computer science folks. actually do need computer science folks. actually do need computer science folks. We need developers. We need folks who We need developers. We need folks who We need developers. We need folks who can test for all the messes that can test for all the messes that can test for all the messes that everyone's going to be making with AI, everyone's going to be making with AI, everyone's going to be making with AI, right? Cuz no one's really thinking right? Cuz no one's really thinking right? Cuz no one's really thinking through how does this stuff really work through how does this stuff really work through how does this stuff really work and is it safe? and is it safe? and is it safe? And yeah, And yeah, And yeah, thinking is still a huge deficit in you thinking is still a huge deficit in you thinking is still a huge deficit in you know, I'm know, I'm know, I'm MWC. I had so many conversations. I'm MWC. I had so many conversations. I'm MWC. I had so many conversations. I'm I'm listening to these guys going, "Oh I'm listening to these guys going, "Oh I'm listening to these guys going, "Oh my god, you just don't give a about my god, you just don't give a about my god, you just don't give a about safety."

safety." safety." >> [laughter] >> [laughter] >> [laughter] >> That's first. >> That's first. >> That's first. If you're a vendor, right? And these If you're a vendor, right? And these If you're a vendor, right? And these guys are just jokers are still pumping guys are just jokers are still pumping guys are just jokers are still pumping out crap. out crap. out crap. >> We talk a lot [clears throat] about the >> We talk a lot [clears throat] about the >> We talk a lot [clears throat] about the role AI is going to play and the thing role AI is going to play and the thing role AI is going to play and the thing we don't talk about so much and this we don't talk about so much and this we don't talk about so much and this actually goes back to something Bill you actually goes back to something Bill you actually goes back to something Bill you said a few weeks ago. said a few weeks ago. said a few weeks ago. When you look at the use of AI within When you look at the use of AI within When you look at the use of AI within enterprises, essentially you're playing enterprises, essentially you're playing enterprises, essentially you're playing Russian roulette. You know, if you There Russian roulette. You know, if you There Russian roulette. You know, if you There are is an absence and there's a few are is an absence and there's a few are is an absence and there's a few startups I've seen including this startups I've seen including this startups I've seen including this startup entire AI which is Thomas startup entire AI which is Thomas startup entire AI which is Thomas Donkey's startup that are aiming to Donkey's startup that are aiming to Donkey's startup that are aiming to provide an enterprise grade toolkit for provide an enterprise grade toolkit for provide an enterprise grade toolkit for leveraging AI agents in a in a safe way leveraging AI agents in a in a safe way leveraging AI agents in a in a safe way because otherwise you've got because otherwise you've got because otherwise you've got intellectual property contamination. intellectual property contamination. intellectual property contamination. If you develop something and then the AI If you develop something and then the AI If you develop something and then the AI was in the mix. There have been several was in the mix. There have been several was in the mix. There have been several cases recently where the notion that cases recently where the notion that cases recently where the notion that there is attorney [clears throat] client there is attorney [clears throat] client there is attorney [clears throat] client privilege if an AI is involved or there privilege if an AI is involved or there privilege if an AI is involved or there is is patentable IP is is patentable IP is is patentable IP is being blown away. There are security is being blown away. There are security is being blown away. There are security and trust vulnerabilities on an and trust vulnerabilities on an and trust vulnerabilities on an industrial scale. I mean, industrial scale. I mean, industrial scale. I mean, there was a thing I saw recently that there was a thing I saw recently that there was a thing I saw recently that 50% of the time an AI will choose an 50% of the time an AI will choose an 50% of the time an AI will choose an unsecured deployment model or the unsecured deployment model or the unsecured deployment model or the development model development model development model in preference to a secure one. And then in preference to a secure one. And then in preference to a secure one. And then there's the And never mind the liability there's the And never mind the liability there's the And never mind the liability and the regulatory and governance gaps.

and the regulatory and governance gaps. and the regulatory and governance gaps. And when when you're when you're truck And when when you're when you're truck And when when you're when you're truck runs someone over, you know, being able runs someone over, you know, being able runs someone over, you know, being able to prove the provenance of the code, to prove the provenance of the code, to prove the provenance of the code, being able to show that you put it being able to show that you put it being able to show that you put it through the appropriate There are I through the appropriate There are I through the appropriate There are I think the gap will be in folks who can think the gap will be in folks who can think the gap will be in folks who can understand that the system in depth understand that the system in depth understand that the system in depth enough to be able to go in and enough to be able to go in and enough to be able to go in and forensically analyze you know, what the forensically analyze you know, what the forensically analyze you know, what the happened happened happened after the fact. And I we don't I don't after the fact. And I we don't I don't after the fact. And I we don't I don't see a generation of people being coming see a generation of people being coming see a generation of people being coming out you know, out you know, out you know, having the opportunity to learn those having the opportunity to learn those having the opportunity to learn those skills. skills. skills. >> Yeah. >> Yeah. >> Yeah. >> Cuz you don't know those skills as a >> Cuz you don't know those skills as a >> Cuz you don't know those skills as a junior developer. junior developer. junior developer. >> That's why we're going to have we're >> That's why we're going to have we're >> That's why we're going to have we're going to have a gap. That gap that I'm going to have a gap. That gap that I'm going to have a gap. That gap that I'm talking about all the damn time. That talking about all the damn time. That talking about all the damn time. That It's not pretty. It's not pretty. It's not pretty. >> The ugly. >> The ugly. >> The ugly. >> But the the real the the reality the >> But the the real the the reality the >> But the the real the the reality the reality guys reality guys reality guys >> man, the work that people really have to >> man, the work that people really have to >> man, the work that people really have to do to make this this stuff go. I mean, do to make this this stuff go. I mean, do to make this this stuff go. I mean, when you're putting these things when you're putting these things when you're putting these things together, there are standards, there are together, there are standards, there are together, there are standards, there are best practices. The reason why NIST and best practices. The reason why NIST and best practices. The reason why NIST and IEEE and and ISO and all of them exist. IEEE and and ISO and all of them exist. IEEE and and ISO and all of them exist. >> Yeah. Yeah, but the reality again the >> Yeah. Yeah, but the reality again the >> Yeah. Yeah, but the reality again the reality guys is the drivers for that.

reality guys is the drivers for that. reality guys is the drivers for that. So, because you know, we I think we all So, because you know, we I think we all So, because you know, we I think we all quite well informed people in this talk quite well informed people in this talk quite well informed people in this talk and we can all realize that, but and we can all realize that, but and we can all realize that, but look at what happened for cybersecurity. look at what happened for cybersecurity. look at what happened for cybersecurity. We never did it from the ground up and We never did it from the ground up and We never did it from the ground up and now we're in a mess. Now with all these now we're in a mess. Now with all these now we're in a mess. Now with all these AI stuff is going to be 100x. So, the AI stuff is going to be 100x. So, the AI stuff is going to be 100x. So, the only hope is a crisis only hope is a crisis only hope is a crisis big enough, but not too bad enough, so big enough, but not too bad enough, so big enough, but not too bad enough, so people start realizing because it's the people start realizing because it's the people start realizing because it's the it's the incentive. it's the incentive. it's the incentive. >> wasn't big enough? >> wasn't big enough? >> wasn't big enough? >> What? >> What? >> What? >> Log4j wasn't big enough? >> Log4j wasn't big enough? >> Log4j wasn't big enough? >> No, that that that's just >> No, that that that's just >> No, that that that's just >> No, because the next the next big I >> No, because the next the next big I >> No, because the next the next big I mean, the the the next big thing in mean, the the the next big thing in mean, the the the next big thing in Europe you you might have seen some of Europe you you might have seen some of Europe you you might have seen some of my comments on some of your recent posts my comments on some of your recent posts my comments on some of your recent posts in this area. To me, the next big big in this area. To me, the next big big in this area. To me, the next big big big catastrophic event is when we're big catastrophic event is when we're big catastrophic event is when we're going to start connecting those AI going to start connecting those AI going to start connecting those AI things to the physical world. things to the physical world. things to the physical world. >> Yeah. >> Yeah. >> Yeah. >> Right now we're still safe because >> Right now we're still safe because >> Right now we're still safe because there's still a human that reads the there's still a human that reads the there's still a human that reads the crap and pushes the button. crap and pushes the button. crap and pushes the button. The day this is over and this is going The day this is over and this is going The day this is over and this is going to be accelerated, you can actually to be accelerated, you can actually to be accelerated, you can actually argue that the the the war climate that argue that the the the war climate that argue that the the the war climate that exists in the world is going to be a exists in the world is going to be a exists in the world is going to be a significant incentive for that. significant incentive for that. significant incentive for that. The day these start happening without The day these start happening without The day these start happening without any of the guard guardrail that we any of the guard guardrail that we any of the guard guardrail that we discussed, there is going to be a crisis discussed, there is going to be a crisis discussed, there is going to be a crisis and it's going to be to a scale that we and it's going to be to a scale that we and it's going to be to a scale that we have no idea. But I don't see any sign have no idea. But I don't see any sign have no idea. But I don't see any sign that there's any that there's any that there's any one or anybody or any leadership. I one or anybody or any leadership. I one or anybody or any leadership. I mean, come on, look at the leadership we mean, come on, look at the leadership we mean, come on, look at the leadership we have in the world, not just in the US, have in the world, not just in the US, have in the world, not just in the US, everywhere.

everywhere. everywhere. I mean, there's no no indication that I mean, there's no no indication that I mean, there's no no indication that anybody has an idea on it. anybody has an idea on it. anybody has an idea on it. >> I disagree. I think the EU has an >> I disagree. I think the EU has an >> I disagree. I think the EU has an incentive to incentive to incentive to >> no power to what the EU is it's they >> no power to what the EU is it's they >> no power to what the EU is it's they have no power. have no power. have no power. >> We'll we'll see what happens this year. >> We'll we'll see what happens this year. >> We'll we'll see what happens this year. >> do. >> do. >> do. >> We'll see what happens this year. >> We'll see what happens this year. >> We'll see what happens this year. >> How long has it been a >> How long has it been a >> How long has it been a >> this year. >> this year. >> this year. >> Leonard, how long has it been a war in >> Leonard, how long has it been a war in >> Leonard, how long has it been a war in the middle of Europe? How long? the middle of Europe? How long? the middle of Europe? How long? Four freaking years. There's been a war Four freaking years. There's been a war Four freaking years. There's been a war in Europe four freaking years. in Europe four freaking years. in Europe four freaking years. >> I know I know I know. >> I know I know I know. >> I know I know I know. >> solved the problem? Has it solved the >> solved the problem? Has it solved the >> solved the problem? Has it solved the problem? No. problem? No. problem? No. >> No no no no >> No no no no >> No no no no not not has not it's not related to the not not has not it's not related to the not not has not it's not related to the war. It has war. It has war. It has it has a lot to do with the DMA, the AI it has a lot to do with the DMA, the AI it has a lot to do with the DMA, the AI Act, and some of the stuff that I saw at Act, and some of the stuff that I saw at Act, and some of the stuff that I saw at MWC related to sovereignty. But um no no MWC related to sovereignty. But um no no MWC related to sovereignty. But um no no you you you here's the thing. here's the thing. here's the thing. People still have no clue People still have no clue People still have no clue how dangerous this stuff is going to be. how dangerous this stuff is going to be. how dangerous this stuff is going to be. I sat in on a guardrail I sat in on a guardrail I sat in on a guardrail um orientation um orientation um orientation thing for um vendors, okay? Uh thing for um vendors, okay? Uh thing for um vendors, okay? Uh holy holy holy If you encourage your vendors to use AI If you encourage your vendors to use AI If you encourage your vendors to use AI with your data, with your data, with your data, be ready be ready be ready in about a year in about a year in about a year to just be banning the use of AI amongst to just be banning the use of AI amongst to just be banning the use of AI amongst your vendors and service providers.

I I was just sitting there listening to I I was just sitting there listening to this thing going, "Oh my god." this thing going, "Oh my god." this thing going, "Oh my god." >> [laughter] >> [laughter] >> [laughter] >> Yeah, I mean it's the same conversation >> Yeah, I mean it's the same conversation >> Yeah, I mean it's the same conversation we had when we started talking about it. we had when we started talking about it. we had when we started talking about it. Self-driving cars. Who's responsible? Self-driving cars. Who's responsible? Self-driving cars. Who's responsible? Who's liable? Who's liable? Who's liable? >> This is worse. >> This is worse. >> This is worse. >> Well, the >> Well, the >> Well, the >> [laughter] >> [laughter] >> [laughter] >> the challenge the challenge there is is >> the challenge the challenge there is is >> the challenge the challenge there is is similar to if you go back well, similar to if you go back well, similar to if you go back well, if you go back a few years, there was a if you go back a few years, there was a if you go back a few years, there was a great deal of pressure on manufacturing great deal of pressure on manufacturing great deal of pressure on manufacturing companies to use the fastest path for companies to use the fastest path for companies to use the fastest path for the outcome. Never mind if that produced the outcome. Never mind if that produced the outcome. Never mind if that produced pollution, never mind if that was child pollution, never mind if that was child pollution, never mind if that was child labor, never you know, whatever. And the labor, never you know, whatever. And the labor, never you know, whatever. And the countries that were prepared and the countries that were prepared and the countries that were prepared and the companies that were prepared to take companies that were prepared to take companies that were prepared to take that risk on that risk on that risk on one, you know, they were able to build one, you know, they were able to build one, you know, they were able to build cheaper products. Look at the dominance cheaper products. Look at the dominance cheaper products. Look at the dominance of China and Southeast Asia in general of China and Southeast Asia in general of China and Southeast Asia in general in manufacturing. I think the equivalent in manufacturing. I think the equivalent in manufacturing. I think the equivalent is is happen is going to happen with AI. is is happen is going to happen with AI. is is happen is going to happen with AI. The countries where AI is treated with The countries where AI is treated with The countries where AI is treated with some skepticism and there are guardrails some skepticism and there are guardrails some skepticism and there are guardrails put around it are not going to move as put around it are not going to move as put around it are not going to move as quickly as the countries where there are quickly as the countries where there are quickly as the countries where there are no guardrails. And and not and not no guardrails. And and not and not no guardrails. And and not and not pointing specifically at China, Korea pointing specifically at China, Korea pointing specifically at China, Korea for example, I read I read something the for example, I read I read something the for example, I read I read something the other day. So, for every X number of other day. So, for every X number of other day. So, for every X number of workers in the US, there are 200 robots.

workers in the US, there are 200 robots. workers in the US, there are 200 robots. I forget what X was. I forget what X was. I forget what X was. The equivalent in Korea is like 15,000. The equivalent in Korea is like 15,000. The equivalent in Korea is like 15,000. >> Yeah. >> Yeah. >> Yeah. >> And there is an adoption of technique >> And there is an adoption of technique >> And there is an adoption of technique the means to produce more for less, you the means to produce more for less, you the means to produce more for less, you know, regardless of the risk. know, regardless of the risk. know, regardless of the risk. >> Totally. >> Totally. >> Totally. >> But it comes down to your appetite for >> But it comes down to your appetite for >> But it comes down to your appetite for risk. If you're in a litigious Western risk. If you're in a litigious Western risk. If you're in a litigious Western society, then maybe you're a bit more society, then maybe you're a bit more society, then maybe you're a bit more cautious. If you're in the Wild West, cautious. If you're in the Wild West, cautious. If you're in the Wild West, who gives a crap? Well, you know, that who gives a crap? Well, you know, that who gives a crap? Well, you know, that all no holds barred. You can do what you all no holds barred. You can do what you all no holds barred. You can do what you want. And that is going to create some want. And that is going to create some want. And that is going to create some some really quite concerning some really quite concerning some really quite concerning um risk situations. And you see this um risk situations. And you see this um risk situations. And you see this kind of regionalization of data and a kind of regionalization of data and a kind of regionalization of data and a lot of the enterprise customers I talk lot of the enterprise customers I talk lot of the enterprise customers I talk to are like, "The data's got to be stay to are like, "The data's got to be stay to are like, "The data's got to be stay in my country in a factory. If you can in my country in a factory. If you can in my country in a factory. If you can if you can have federated learning on if you can have federated learning on if you can have federated learning on the edge and the data doesn't go the edge and the data doesn't go the edge and the data doesn't go anywhere, like, great, excellent, that anywhere, like, great, excellent, that anywhere, like, great, excellent, that solves my problem." So, there's this solves my problem." So, there's this solves my problem." So, there's this kind of retrenchment that's happening, kind of retrenchment that's happening, kind of retrenchment that's happening, but at the same time global systems that but at the same time global systems that but at the same time global systems that are being originated in countries with are being originated in countries with are being originated in countries with few guardrails are going to be few guardrails are going to be few guardrails are going to be pervasive. And we're all all going to be pervasive. And we're all all going to be pervasive. And we're all all going to be subject to those risks. And I hope subject to those risks. And I hope subject to those risks. And I hope you're wrong, Tim Shard. I hope there you're wrong, Tim Shard. I hope there you're wrong, Tim Shard. I hope there isn't a huge shock, but you know, isn't a huge shock, but you know, isn't a huge shock, but you know, history would suggest that human beings history would suggest that human beings history would suggest that human beings require a fairly fairly high shock to require a fairly fairly high shock to require a fairly fairly high shock to change course.

change course. change course. >> No, I agree. I mean, >> No, I agree. I mean, >> No, I agree. I mean, I I I can't agree more with you. It's I I I can't agree more with you. It's I I I can't agree more with you. It's it's totally totally what's going to it's totally totally what's going to it's totally totally what's going to happen. We're going to have the kind of happen. We're going to have the kind of happen. We're going to have the kind of the Nobel Prize effect, you know. the Nobel Prize effect, you know. the Nobel Prize effect, you know. >> Yeah. >> Yeah. >> Yeah. >> We're just we're just going going it. >> We're just we're just going going it. >> We're just we're just going going it. It's going to blow up and then somebody It's going to blow up and then somebody It's going to blow up and then somebody say, "Oh, let's create a Nobel Prize to say, "Oh, let's create a Nobel Prize to say, "Oh, let's create a Nobel Prize to try to buy ourselves back." This is try to buy ourselves back." This is try to buy ourselves back." This is >> You know how I get to see the >> You know how I get to see the >> You know how I get to see the >> And I do believe you. Europe will be >> And I do believe you. Europe will be >> And I do believe you. Europe will be left behind. Europe will be left behind. left behind. Europe will be left behind. left behind. Europe will be left behind. >> I get to see Dmitri's comments and posts >> I get to see Dmitri's comments and posts >> I get to see Dmitri's comments and posts as long with Rick Bellada's. I go into as long with Rick Bellada's. I go into as long with Rick Bellada's. I go into LinkedIn and type in LinkedIn and type in LinkedIn and type in search for negative comments. search for negative comments. search for negative comments. >> [laughter] >> [laughter] >> [laughter] >> And then Dmitri and Rick Bellada come >> And then Dmitri and Rick Bellada come >> And then Dmitri and Rick Bellada come up. up. up. >> this is not negative comments. This is >> this is not negative comments. This is >> this is not negative comments. This is the reality, my friend. I'm a the reality, my friend. I'm a the reality, my friend. I'm a pessimistic, but hey, somebody has to pessimistic, but hey, somebody has to pessimistic, but hey, somebody has to be. If you have no business to be be. If you have no business to be be. If you have no business to be >> person on the >> person on the >> person on the >> No, I mean I don't I don't >> No, I mean I don't I don't >> No, I mean I don't I don't >> No, maybe Rick is. I don't know. >> No, maybe Rick is. I don't know. >> No, maybe Rick is. I don't know. >> Yeah, it's not pessimistic. I think it's >> Yeah, it's not pessimistic. I think it's >> Yeah, it's not pessimistic. I think it's it's probably being it's closer to it's probably being it's closer to it's probably being it's closer to realistic. realistic. realistic. >> Yeah. >> Yeah. >> Yeah. >> Um you know, you probably saw this thing >> Um you know, you probably saw this thing >> Um you know, you probably saw this thing floating around years ago and I saw it floating around years ago and I saw it floating around years ago and I saw it popping up again. This was a quote that popping up again. This was a quote that popping up again. This was a quote that IBM made back in the '70s. IBM made back in the '70s. IBM made back in the '70s. It basically It basically It basically >> Uh >> Uh >> Uh >> you know.

>> you know. >> you know. And so, you know, IBM was all there. A And so, you know, IBM was all there. A And so, you know, IBM was all there. A computer can never be held accountable computer can never be held accountable computer can never be held accountable and therefore a computer must never make and therefore a computer must never make and therefore a computer must never make a management decision. a management decision. a management decision. >> Well, that was >> Well, that was >> Well, that was >> kind of set in stone at IBM back in the >> kind of set in stone at IBM back in the >> kind of set in stone at IBM back in the day. day. day. >> Yeah, read the Asimov laws. >> Yeah, read the Asimov laws. >> Yeah, read the Asimov laws. >> Yeah, yeah, and that's like, "Oh, has >> Yeah, yeah, and that's like, "Oh, has >> Yeah, yeah, and that's like, "Oh, has that changed?" Cuz obviously it has, you that changed?" Cuz obviously it has, you that changed?" Cuz obviously it has, you know. know. know. >> Oh, yeah. >> Oh, yeah. >> Oh, yeah. >> Oh, yeah, we forgot we forgot we have >> Oh, yeah, we forgot we forgot we have >> Oh, yeah, we forgot we forgot we have Yeah. Yeah. Yeah. >> Yeah, I think that the challenge that >> Yeah, I think that the challenge that >> Yeah, I think that the challenge that might be is a lot of the a lot of the might be is a lot of the a lot of the might be is a lot of the a lot of the hyperbole you hear about AI. Well, some hyperbole you hear about AI. Well, some hyperbole you hear about AI. Well, some of it's not hyperbole, some of it is. of it's not hyperbole, some of it is. of it's not hyperbole, some of it is. But you know, But you know, But you know, the the temptation is to, you know, call the the temptation is to, you know, call the the temptation is to, you know, call call attention to, you know, what could call attention to, you know, what could call attention to, you know, what could be a very significant risk and do so be a very significant risk and do so be a very significant risk and do so using language that will attract using language that will attract using language that will attract people's attention. The downside of that people's attention. The downside of that people's attention. The downside of that is that people read something that is that people read something that is that people read something that sounds so extreme that they just sounds so extreme that they just sounds so extreme that they just immediately dismiss it and move on to immediately dismiss it and move on to immediately dismiss it and move on to the next thing. Or they think it won't the next thing. Or they think it won't the next thing. Or they think it won't affect me. Or they think it's not going affect me. Or they think it's not going affect me. Or they think it's not going to happen. I mean, look at climate to happen. I mean, look at climate to happen. I mean, look at climate change. It's not going to affect me. change. It's not going to affect me. change. It's not going to affect me. It's not going to happen for a bunch of It's not going to happen for a bunch of It's not going to happen for a bunch of years. You know, not sure about whether years. You know, not sure about whether years. You know, not sure about whether or not it's a risk anyway. I'm just or not it's a risk anyway. I'm just or not it's a risk anyway. I'm just going to carry on driving a 5 L, you going to carry on driving a 5 L, you going to carry on driving a 5 L, you know, truck around the place. It know, truck around the place. It know, truck around the place. It We're in the same situation and human We're in the same situation and human We're in the same situation and human beings are not good beings are not good beings are not good reacting, you know, effectively to this reacting, you know, effectively to this reacting, you know, effectively to this sort of circumstance when it's a massive sort of circumstance when it's a massive sort of circumstance when it's a massive risk, but it's not directly impacting risk, but it's not directly impacting risk, but it's not directly impacting you, you can't really do anything about you, you can't really do anything about you, you can't really do anything about it, and it could be long-term in nature, it, and it could be long-term in nature, it, and it could be long-term in nature, and though you know, the future's not and though you know, the future's not and though you know, the future's not certain, maybe it's going to work out certain, maybe it's going to work out certain, maybe it's going to work out fine. Those sorts of situations we don't fine. Those sorts of situations we don't fine. Those sorts of situations we don't do well at. We do well at when you know, do well at. We do well at when you know, do well at. We do well at when you know, when a dinosaur is chasing us, should we when a dinosaur is chasing us, should we when a dinosaur is chasing us, should we run away?

run away? run away? >> This is why I was mentioning leadership >> This is why I was mentioning leadership >> This is why I was mentioning leadership earlier. The only way we solved that at earlier. The only way we solved that at earlier. The only way we solved that at some point in humanity is when you have some point in humanity is when you have some point in humanity is when you have leaders that point us in the right leaders that point us in the right leaders that point us in the right directions. directions. directions. And the problem And the problem And the problem you know, it's the only you know, it's the only you know, it's the only it's the only way to solve it's the only way to solve it's the only way to solve The only way to solve the problem is it The only way to solve the problem is it The only way to solve the problem is it doesn't care for me now, but it will doesn't care for me now, but it will doesn't care for me now, but it will care in 10 years is to have leadership care in 10 years is to have leadership care in 10 years is to have leadership that tells you it cares. that tells you it cares. that tells you it cares. >> Who the hell proved any kind of >> Who the hell proved any kind of >> Who the hell proved any kind of leadership over around this place? leadership over around this place? leadership over around this place? >> But No, but we used [laughter] to No, >> But No, but we used [laughter] to No, >> But No, but we used [laughter] to No, but we but the point is that we but we but the point is that we but we but the point is that we This is why I'm more and more of a This is why I'm more and more of a This is why I'm more and more of a pessimistic because we used to. Guys, we pessimistic because we used to. Guys, we pessimistic because we used to. Guys, we went to the moon under leadership. That went to the moon under leadership. That went to the moon under leadership. That was 50 years ago. was 50 years ago. was 50 years ago. Yes, we did. Yes, we did. Yes, we did. >> [laughter] >> [laughter] >> [laughter] >> LIKE DID YOU LIKE DIGITAL TWIN TOLD ME >> LIKE DID YOU LIKE DIGITAL TWIN TOLD ME >> LIKE DID YOU LIKE DIGITAL TWIN TOLD ME My digital twin My digital twin told me My digital twin My digital twin told me My digital twin My digital twin told me >> That's how [laughter] we got there, >> That's how [laughter] we got there, >> That's how [laughter] we got there, digital twin. digital twin. digital twin. >> I'm just saying I mean, there's there's >> I'm just saying I mean, there's there's >> I'm just saying I mean, there's there's some legitimate damn questions about some legitimate damn questions about some legitimate damn questions about that. I mean, the amount of that. I mean, the amount of that. I mean, the amount of infrastructure it takes to communicate infrastructure it takes to communicate infrastructure it takes to communicate from the moon back down here. Where the from the moon back down here. Where the from the moon back down here. Where the F was that? F was that? F was that? >> Well, >> Well, >> Well, Motorola Motorola Motorola >> There's an excellent There's an >> There's an excellent There's an >> There's an excellent There's an excellent YouTube channels run by French excellent YouTube channels run by French excellent YouTube channels run by French guy called Curious Marc that explained guy called Curious Marc that explained guy called Curious Marc that explained that in greater details, and they that in greater details, and they that in greater details, and they actually even rebuilt in the lab the actually even rebuilt in the lab the actually even rebuilt in the lab the whole infrastructure to do that. So, whole infrastructure to do that. So, whole infrastructure to do that. So, there is evidence of this.

there is evidence of this. there is evidence of this. >> Thank god for other countries. >> Thank god for other countries. >> Thank god for other countries. >> time actually doing it, I'm sorry, the >> time actually doing it, I'm sorry, the >> time actually doing it, I'm sorry, the jury is out. jury is out. jury is out. >> Thank god [laughter] for other countries >> Thank god [laughter] for other countries >> Thank god [laughter] for other countries that are circling the moon now and that are circling the moon now and that are circling the moon now and taking pictures of our the equipment we taking pictures of our the equipment we taking pictures of our the equipment we left behind. left behind. left behind. >> [clears throat] >> [clears throat] >> [clears throat] >> Finding Finding a so-called >> Finding Finding a so-called >> Finding Finding a so-called Finding a leader today Finding a leader today Finding a leader today who fits the definition of the word who fits the definition of the word who fits the definition of the word leader is tricky, I think, anyway. But, leader is tricky, I think, anyway. But, leader is tricky, I think, anyway. But, if find a leader who understands the if find a leader who understands the if find a leader who understands the first principles of AI, and I think first principles of AI, and I think first principles of AI, and I think you're doing very well. And like you you're doing very well. And like you you're doing very well. And like you were saying, Leonard, you go to you go were saying, Leonard, you go to you go were saying, Leonard, you go to you go to industry conferences, and people to industry conferences, and people to industry conferences, and people people in the enterprise kind of, you people in the enterprise kind of, you people in the enterprise kind of, you know, all industrial automation space, know, all industrial automation space, know, all industrial automation space, etc. You know, there are there are lots etc. You know, there are there are lots etc. You know, there are there are lots of folks who haven't really of folks who haven't really of folks who haven't really thought through or understood the thought through or understood the thought through or understood the implications of AI. Otherwise, implications of AI. Otherwise, implications of AI. Otherwise, they'd be building different products. they'd be building different products. they'd be building different products. You know, they're building applications You know, they're building applications You know, they're building applications on top of an LLM. It's like guys, you on top of an LLM. It's like guys, you on top of an LLM. It's like guys, you you are two steps ahead of the you are two steps ahead of the you are two steps ahead of the steamroller behind you, steamroller behind you, steamroller behind you, and you're going to get squished. You and you're going to get squished. You and you're going to get squished. You better focus on being stopped later or better focus on being stopped later or better focus on being stopped later or governance. governance. governance. >> That's why I'm I'm putting together my >> That's why I'm I'm putting together my >> That's why I'm I'm putting together my pitch deck that I'm going to pitch to pitch deck that I'm going to pitch to pitch deck that I'm going to pitch to Alister for my new company. It's going Alister for my new company. It's going Alister for my new company. It's going to be called to be called to be called OPEN CLAW MANUFACTURING.

OPEN CLAW MANUFACTURING. OPEN CLAW MANUFACTURING. >> [laughter] >> [laughter] >> [laughter] >> OPEN CLAWS. >> OPEN CLAWS. >> OPEN CLAWS. >> OH, Open Claws. >> OH, Open Claws. >> OH, Open Claws. >> We're just going to drop that thing in >> We're just going to drop that thing in >> We're just going to drop that thing in the factory and say, "Make it better." the factory and say, "Make it better." the factory and say, "Make it better." >> [laughter] >> [laughter] >> [laughter] >> Oh my god. >> Oh my god. >> Oh my god. >> So, and and and Alister, the commercial >> So, and and and Alister, the commercial >> So, and and and Alister, the commercial is going to be a Pac-Man, you know, is going to be a Pac-Man, you know, is going to be a Pac-Man, you know, eating the eating the eating the >> [clears throat] >> [clears throat] >> [clears throat] >> Exactly. Yes. Oh my gosh. >> Exactly. Yes. Oh my gosh. >> Exactly. Yes. Oh my gosh. >> I mean, you know, >> I mean, you know, >> I mean, you know, it's really funny it's really funny it's really funny that at MWC that at MWC that at MWC um this year, there's been a um this year, there's been a um this year, there's been a come-to-Jesus moment finally around come-to-Jesus moment finally around come-to-Jesus moment finally around Copilot. Copilot. Copilot. >> Mhm. >> Mhm. >> Mhm. >> And that it >> And that it >> And that it it sucks. It didn't work. It didn't do it sucks. It didn't work. It didn't do it sucks. It didn't work. It didn't do anything that people were promising anything that people were promising anything that people were promising um back 3 years ago. And you do you um back 3 years ago. And you do you um back 3 years ago. And you do you really do get a pretty solid sense that really do get a pretty solid sense that really do get a pretty solid sense that all this AI stuff all this AI stuff all this AI stuff has been kind of a joke. It's just a has been kind of a joke. It's just a has been kind of a joke. It's just a rolling rolling rolling circus act, right? It's like one circus circus act, right? It's like one circus circus act, right? It's like one circus act after the other. act after the other. act after the other. And it it it's And it it it's And it it it's it's funny to watch how it's funny to watch how it's funny to watch how everyone is just everyone is just everyone is just starting to get sick of this in in starting to get sick of this in in starting to get sick of this in in background, you know. They're going, background, you know. They're going, background, you know. They're going, "Can we stop talking about this crap "Can we stop talking about this crap "Can we stop talking about this crap because number one, we can't sell any because number one, we can't sell any because number one, we can't sell any sell any of it. Our customer We're in sell any of it. Our customer We're in sell any of it. Our customer We're in these like infinite POCs these like infinite POCs these like infinite POCs and um it's not delivering and um it's not delivering and um it's not delivering uh to expectations. And so there are uh to expectations. And so there are uh to expectations. And so there are vendors out there that are desperately vendors out there that are desperately vendors out there that are desperately trying to build a trying to build a trying to build a you know, basically a last-minute case you know, basically a last-minute case you know, basically a last-minute case for the this stuff, which I think it

for the this stuff, which I think it for the this stuff, which I think it will be because physical AI is such will be because physical AI is such will be because physical AI is such nonsense, right? It's just freaking nonsense, right? It's just freaking nonsense, right? It's just freaking robotic robotic robotic >> Wait, wait, wait, wait, Jesus Jesus is >> Wait, wait, wait, wait, Jesus Jesus is >> Wait, wait, wait, wait, Jesus Jesus is going to be on stage next week at GTC going to be on stage next week at GTC going to be on stage next week at GTC >> [laughter] >> [laughter] >> [laughter] >> and he is going to be telling you that >> and he is going to be telling you that >> and he is going to be telling you that the future is physical AI. And so I the future is physical AI. And so I the future is physical AI. And so I don't know what you're talking about, don't know what you're talking about, don't know what you're talking about, dude. [laughter] dude. [laughter] dude. [laughter] >> Well, I KNOW I KNOW >> Well, I KNOW I KNOW >> Well, I KNOW I KNOW I KNOW him too. I KNOW him too. I KNOW him too. I know Jesus as well. I know Jesus as well. I know Jesus as well. >> Yeah, he goes by Jensen. >> Yeah, he goes by Jensen. >> Yeah, he goes by Jensen. >> [laughter] >> [laughter] >> [laughter] >> Where's he going to be at? >> Where's he going to be at? >> Where's he going to be at? >> He's going to be in San Jose, the SAP >> He's going to be in San Jose, the SAP >> He's going to be in San Jose, the SAP Center. Yeah. Center. Yeah. Center. Yeah. >> I need to pay guys. >> I need to pay guys. >> I need to pay guys. >> All right, we'll see you. >> [clears throat] >> [clears throat] >> Yeah. >> Yeah. >> Yeah. >> I mean, you know, Jensen's just pounding >> I mean, you know, Jensen's just pounding >> I mean, you know, Jensen's just pounding the drum. He thinks that that's the the drum. He thinks that that's the the drum. He thinks that that's the future is physical AI. future is physical AI. future is physical AI. >> to do. He has to play. >> to do. He has to play. >> to do. He has to play. >> But how much of it's actually new? >> But how much of it's actually new? >> But how much of it's actually new? >> Well, I think I mean if you can solve if >> Well, I think I mean if you can solve if >> Well, I think I mean if you can solve if you can solve the whole governance you can solve the whole governance you can solve the whole governance issue, you know, issue, you know, issue, you know, how to how to generate forensic how to how to generate forensic how to how to generate forensic information about what an AI has done, information about what an AI has done, information about what an AI has done, the decisions it made, so that you can the decisions it made, so that you can the decisions it made, so that you can protect your IP, protect your IP, protect your IP, and if there's a management structure and if there's a management structure and if there's a management structure which means you're stopping your which means you're stopping your which means you're stopping your employees feeding all of your company employees feeding all of your company employees feeding all of your company data into an AI and therefore making it data into an AI and therefore making it data into an AI and therefore making it completely public. And and you know, we completely public. And and you know, we completely public. And and you know, we figure out how to cuz at the moment I figure out how to cuz at the moment I figure out how to cuz at the moment I know in a lot of enterprises I've been know in a lot of enterprises I've been know in a lot of enterprises I've been talking to a few people who've gone from talking to a few people who've gone from talking to a few people who've gone from building applications on top of that LLM building applications on top of that LLM building applications on top of that LLM to building applications that to building applications that to building applications that that kind of synthesize original data

that kind of synthesize original data that kind of synthesize original data sets and present them in a managed way sets and present them in a managed way sets and present them in a managed way to an AI. So, through an API call or to an AI. So, through an API call or to an AI. So, through an API call or through it's say the data itself stays through it's say the data itself stays through it's say the data itself stays separate because I think the enterprises separate because I think the enterprises separate because I think the enterprises who have adopted AI have pretty quickly who have adopted AI have pretty quickly who have adopted AI have pretty quickly realized that well, my AI is the same as realized that well, my AI is the same as realized that well, my AI is the same as your AI. So, then what how how does that your AI. So, then what how how does that your AI. So, then what how how does that give me a competitive advantage? Oh, if give me a competitive advantage? Oh, if give me a competitive advantage? Oh, if I use my data, if I have a proprietary I use my data, if I have a proprietary I use my data, if I have a proprietary data set that I can train my AI on, then data set that I can train my AI on, then data set that I can train my AI on, then then but then it and then the battle then but then it and then the battle then but then it and then the battle becomes as it always was to a degree it becomes as it always was to a degree it becomes as it always was to a degree it becomes about the data. My data is becomes about the data. My data is becomes about the data. My data is better than your data. better than your data. better than your data. >> Yeah. >> Yeah. >> Yeah. >> Right. >> Right. >> Right. >> more quickly cuz I've got an AI and I >> more quickly cuz I've got an AI and I >> more quickly cuz I've got an AI and I can I can use that AI in physical can I can use that AI in physical can I can use that AI in physical situation to optimize a system faster, situation to optimize a system faster, situation to optimize a system faster, but it's down to the data. You know, if but it's down to the data. You know, if but it's down to the data. You know, if I don't have data on the system that the I don't have data on the system that the I don't have data on the system that the AI is trying to optimize, if I don't AI is trying to optimize, if I don't AI is trying to optimize, if I don't understand the manufacturing workflow, understand the manufacturing workflow, understand the manufacturing workflow, then then then who [snorts] gives a crap about my AI? who [snorts] gives a crap about my AI? who [snorts] gives a crap about my AI? >> What's the basic >> What's the basic >> What's the basic That's the ironic thing is you're we are That's the ironic thing is you're we are That's the ironic thing is you're we are starting to see and you will see in the starting to see and you will see in the starting to see and you will see in the future future future uh more compartmentalization uh more compartmentalization uh more compartmentalization of these models and the data sets and of these models and the data sets and of these models and the data sets and the knowledge bases because it's too the knowledge bases because it's too the knowledge bases because it's too dangerous to train any single monolithic dangerous to train any single monolithic dangerous to train any single monolithic um AI with all of your corporate data.

um AI with all of your corporate data. um AI with all of your corporate data. So, we we're we're off that thesis So, we we're we're off that thesis So, we we're we're off that thesis already. already. already. >> What? That's my idea. >> What? That's my idea. >> What? That's my idea. >> been dead for >> been dead for >> been dead for >> [laughter] >> [laughter] >> [laughter] >> No. >> No. >> No. >> then you're you're on the wrong track, >> then you're you're on the wrong track, >> then you're you're on the wrong track, buddy. buddy. buddy. >> No, we're training it. All of it. >> No, we're training it. All of it. >> No, we're training it. All of it. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> because of security reasons. The thing >> because of security reasons. The thing >> because of security reasons. The thing is is is is is is >> You're offline air gapped >> You're offline air gapped >> You're offline air gapped [clears throat] [clears throat] [clears throat] LLM running on your infrastructure and LLM running on your infrastructure and LLM running on your infrastructure and you're going to fine tune it with your you're going to fine tune it with your you're going to fine tune it with your data. data. data. >> then, it's going to be >> then, it's going to be >> then, it's going to be compartmentalized because you're going compartmentalized because you're going compartmentalized because you're going to have cybersecurity threats. Anyone to have cybersecurity threats. Anyone to have cybersecurity threats. Anyone who can get that graph, that can get who can get that graph, that can get who can get that graph, that can get that model will have everything. that model will have everything. that model will have everything. And it that is way too dangerous. It's And it that is way too dangerous. It's And it that is way too dangerous. It's going to be going to be going to be >> What if I put a strong password on my >> What if I put a strong password on my >> What if I put a strong password on my vector data? vector data? vector data? >> [laughter] >> [laughter] >> [laughter] >> LIKE 1 2 3? >> WELL, YEAH. I MEAN, I >> WELL, YEAH. I MEAN, I I WAS TALKING TO A COMPANY the other day I WAS TALKING TO A COMPANY the other day I WAS TALKING TO A COMPANY the other day and what they build is a AI-based and what they build is a AI-based and what they build is a AI-based solution for optimizing power solution for optimizing power solution for optimizing power consumption in data centers. Quite a consumption in data centers. Quite a consumption in data centers. Quite a prescient, you know, topic. prescient, you know, topic. prescient, you know, topic. And they use a that A it's a completely And they use a that A it's a completely And they use a that A it's a completely air-gapped because it's a freaking data air-gapped because it's a freaking data air-gapped because it's a freaking data center. But they're also using federated center. But they're also using federated center. But they're also using federated learning model where it's kind of like learning model where it's kind of like learning model where it's kind of like it's kind of like terrorist cells. You it's kind of like terrorist cells. You it's kind of like terrorist cells. You know, each machine, you know, learns know, each machine, you know, learns know, each machine, you know, learns from the collective but the information from the collective but the information from the collective but the information that's shared between them is really that's shared between them is really that's shared between them is really quite limited. So So, that is a is a quite limited. So So, that is a is a quite limited. So So, that is a is a compartmentalized compartmentalized compartmentalized AI actually in each edge node, you know, AI actually in each edge node, you know, AI actually in each edge node, you know, effectively. It takes effectively. It takes effectively. It takes >> Was that company called Sleeper Cell?

>> Was that company called Sleeper Cell? >> Was that company called Sleeper Cell? Was that the name OF THAT COMPANY? Was that the name OF THAT COMPANY? Was that the name OF THAT COMPANY? [laughter] >> HOLD ON. HOLD ON. I JUST need to go and >> HOLD ON. HOLD ON. I JUST need to go and buy a URL. buy a URL. buy a URL. >> [laughter] >> That's a great name for a company that >> That's a great name for a company that does federated learning at the edge. does federated learning at the edge. does federated learning at the edge. >> [laughter] >> [laughter] >> [laughter] >> They [clears throat] wouldn't be put off >> They [clears throat] wouldn't be put off >> They [clears throat] wouldn't be put off by that. by that. by that. >> Get the terrorist in your process. Yeah, >> Get the terrorist in your process. Yeah, >> Get the terrorist in your process. Yeah, that's what you that's what you that's what you >> But I mean, but when you say federated >> But I mean, but when you say federated >> But I mean, but when you say federated learning at the edge, isn't that kind of learning at the edge, isn't that kind of learning at the edge, isn't that kind of like what neural networks are supposed like what neural networks are supposed like what neural networks are supposed to do anyway? to do anyway? to do anyway? >> Oh. >> Oh. >> Oh. >> Neural networks. >> Neural networks. >> Neural networks. >> [laughter] >> [laughter] >> [laughter] >> And it isn't that >> And it isn't that >> And it isn't that >> This is a Unix system. You know this. >> This is a Unix system. You know this. >> This is a Unix system. You know this. >> Yeah. I mean, that's >> Yeah. I mean, that's >> Yeah. I mean, that's Yeah. I mean, it does does Yeah. I mean, it does does Yeah. I mean, it does does >> what that's what they're supposed to do, >> what that's what they're supposed to do, >> what that's what they're supposed to do, right? right? right? >> It's neural network. I mean, >> It's neural network. I mean, >> It's neural network. I mean, there's lots of everything is everything there's lots of everything is everything there's lots of everything is everything is kind of being slapped with the AI is kind of being slapped with the AI is kind of being slapped with the AI sticker. You know, it's sticker. You know, it's sticker. You know, it's you know, IoT, you know, you know, IoT, you know, you know, IoT, you know, that's telematics M2M. You know, let's that's telematics M2M. You know, let's that's telematics M2M. You know, let's chuck all that stuff in the bucket and chuck all that stuff in the bucket and chuck all that stuff in the bucket and brand it IoT. brand it IoT. brand it IoT. Machine learning, data analysis, neural Machine learning, data analysis, neural Machine learning, data analysis, neural networks, chuck it into the AI bucket.

networks, chuck it into the AI bucket. networks, chuck it into the AI bucket. The thing that pisses me off, honestly, The thing that pisses me off, honestly, The thing that pisses me off, honestly, is that I mean, is that I mean, is that I mean, we all talk about IoT and the brand IoT we all talk about IoT and the brand IoT we all talk about IoT and the brand IoT branding I think was deeply unhelpful. branding I think was deeply unhelpful. branding I think was deeply unhelpful. But why did we do such a job in in But why did we do such a job in in But why did we do such a job in in publicizing the term IoT? Why is AI so publicizing the term IoT? Why is AI so publicizing the term IoT? Why is AI so much bloody better? How did that How did much bloody better? How did that How did much bloody better? How did that How did AI get to be a global phenomenon? When AI get to be a global phenomenon? When AI get to be a global phenomenon? When people can't say what IoT is. people can't say what IoT is. people can't say what IoT is. >> Because they let us start layering all >> Because they let us start layering all >> Because they let us start layering all kinds of other on top of IoT kinds of other on top of IoT kinds of other on top of IoT because they found out, "Oh, wait a because they found out, "Oh, wait a because they found out, "Oh, wait a minute. These huge numbers that all minute. These huge numbers that all minute. These huge numbers that all these consulting firms and research these consulting firms and research these consulting firms and research firms are throwing out there firms are throwing out there firms are throwing out there um you know, aren't going to be met if um you know, aren't going to be met if um you know, aren't going to be met if we don't start double counting and we don't start double counting and we don't start double counting and layering a bunch of other on top layering a bunch of other on top layering a bunch of other on top like big data." like big data." like big data." >> [laughter] >> [laughter] >> [laughter] >> You know? And then you lose perspective. >> You know? And then you lose perspective. >> You know? And then you lose perspective. And then everyone discovers we're double And then everyone discovers we're double And then everyone discovers we're double counting. Just like physical AI. What's counting. Just like physical AI. What's counting. Just like physical AI. What's going to happen is Jesus Christ is going going to happen is Jesus Christ is going going to happen is Jesus Christ is going to get up on stage and say the you know, to get up on stage and say the you know, to get up on stage and say the you know, the impact the economic impact according the impact the economic impact according the impact the economic impact according to this consulting firm who is going to to this consulting firm who is going to to this consulting firm who is going to get it catastrophically wrong is X get it catastrophically wrong is X get it catastrophically wrong is X trillions of dollars, trillions of dollars, trillions of dollars, right?

right? right? And it's going to be triple quadruple And it's going to be triple quadruple And it's going to be triple quadruple counting of stuff that already exists, counting of stuff that already exists, counting of stuff that already exists, right? And you know, right? And you know, right? And you know, robots don't have to be intelligent. robots don't have to be intelligent. robots don't have to be intelligent. They can be remote remotely controlled, They can be remote remotely controlled, They can be remote remotely controlled, completely non-intelligent. completely non-intelligent. completely non-intelligent. That's robotics and most of robotics That's robotics and most of robotics That's robotics and most of robotics that's what robotics is. It's that's what robotics is. It's that's what robotics is. It's non-intelligent robots. Doesn't mean non-intelligent robots. Doesn't mean non-intelligent robots. Doesn't mean make them useless. In fact, they're make them useless. In fact, they're make them useless. In fact, they're probably a hell of a lot better than any probably a hell of a lot better than any probably a hell of a lot better than any of these humanoid of these humanoid of these humanoid you know, this humanoid that you know, this humanoid that you know, this humanoid that people are trying to people are trying to people are trying to you know, shill, right? you know, shill, right? you know, shill, right? >> I think there's a robot behind you >> I think there's a robot behind you >> I think there's a robot behind you there, dude. Check it out, man. They're there, dude. Check it out, man. They're there, dude. Check it out, man. They're coming for you. coming for you. coming for you. >> [laughter] >> [laughter] >> [laughter] >> Was there Was there a lot of humanoid >> Was there Was there a lot of humanoid >> Was there Was there a lot of humanoid stuff at MWC or Embedded World? Cuz I stuff at MWC or Embedded World? Cuz I stuff at MWC or Embedded World? Cuz I mean we all I think we all went to CES mean we all I think we all went to CES mean we all I think we all went to CES and CES it was like freaking robot and CES it was like freaking robot and CES it was like freaking robot hands. Every know, buy 50 robot hands hands. Every know, buy 50 robot hands hands. Every know, buy 50 robot hands without walking 10 paces. without walking 10 paces. without walking 10 paces. >> Yeah, sure. >> Yeah, sure. >> Yeah, sure. >> I got molested by a robot. >> I got molested by a robot. >> I got molested by a robot. >> Mobile Congress, is there still lots of >> Mobile Congress, is there still lots of >> Mobile Congress, is there still lots of lots of humanoid lots of humanoid lots of humanoid weird weird weird >> Yeah. Yeah, I don't know.

>> Yeah. Yeah, I don't know. >> Yeah. Yeah, I don't know. >> Rob, don't don't laugh, man. 3 years >> Rob, don't don't laugh, man. 3 years >> Rob, don't don't laugh, man. 3 years ago, I saw one of these things like, you ago, I saw one of these things like, you ago, I saw one of these things like, you know, molesting know, molesting know, molesting >> molested by a robot 3 years ago? >> molested by a robot 3 years ago? >> molested by a robot 3 years ago? >> I saw some some guy get molested BY A >> I saw some some guy get molested BY A >> I saw some some guy get molested BY A ROBOT. ROBOT. ROBOT. >> [laughter] >> THAT'S IT WAS IT MIGHT HAVE BEEN >> THAT'S IT WAS IT MIGHT HAVE BEEN IT MIGHT HAVE BEEN YOU MIGHT HAVE JUST IT MIGHT HAVE BEEN YOU MIGHT HAVE JUST IT MIGHT HAVE BEEN YOU MIGHT HAVE JUST YOU might have just re-traumatized him. YOU might have just re-traumatized him. YOU might have just re-traumatized him. >> Well, yeah. >> Well, yeah. >> Well, yeah. >> [laughter] >> [laughter] >> [laughter] >> Yeah, you got to be careful, man. >> Yeah, you got to be careful, man. >> Yeah, you got to be careful, man. >> Oh, that's weird. It's weird. It's >> Oh, that's weird. It's weird. It's >> Oh, that's weird. It's weird. It's weird. It's weird. It's weird. It's weird. It's weird. It's weird. It's weird. It's weird. It's weird. It's weird. It's weird. It's weird. It's weird. It's weird. It's weird. It's weird. It's weird. It's weird. It's weird. It's weird. It's weird. It's weird. It's weird. It's weird. It's weird. It's weird. It's weird. It's weird. weird. weird. >> There you go. >> There you go. >> There you go. >> Yeah, absolutely. >> Yeah, absolutely. >> Yeah, absolutely. >> Well, yeah, I know we've said this >> Well, yeah, I know we've said this >> Well, yeah, I know we've said this before, but before, but before, but everyone is everyone is everyone is everyone is regurgitating the exact same everyone is regurgitating the exact same everyone is regurgitating the exact same use cases and outcomes for AI that we use cases and outcomes for AI that we use cases and outcomes for AI that we used for IoT. used for IoT. used for IoT. >> [laughter] >> [laughter] >> [laughter] >> Like, no, literally, it's like, WAIT A >> Like, no, literally, it's like, WAIT A >> Like, no, literally, it's like, WAIT A SECOND, THAT WAS MY USE CASE. WE GOT TO SECOND, THAT WAS MY USE CASE. WE GOT TO SECOND, THAT WAS MY USE CASE. WE GOT TO USE THAT. You're I'm serious. It back to USE THAT. You're I'm serious. It back to USE THAT. You're I'm serious. It back to the double counting, regurgitating, the double counting, regurgitating, the double counting, regurgitating, whatever. They're just like, well, yeah, whatever. They're just like, well, yeah, whatever. They're just like, well, yeah, now that I have AI, I can tell the now that I have AI, I can tell the now that I have AI, I can tell the sprinkler system to turn on if it sprinkler system to turn on if it sprinkler system to turn on if it you know, if it's not raining. you know, if it's not raining. you know, if it's not raining. >> [laughter] >> [laughter] >> [laughter] >> I'm like, no, no, no, we didn't need we >> I'm like, no, no, no, we didn't need we >> I'm like, no, no, no, we didn't need we didn't need an LLM for that.

didn't need an LLM for that. didn't need an LLM for that. >> You don't need AI to do that. You know, >> You don't need AI to do that. You know, >> You don't need AI to do that. You know, if finally X equals more than switch on. if finally X equals more than switch on. if finally X equals more than switch on. You know, that's You know, that's You know, that's >> Yeah. >> Yeah. >> Yeah. >> I know, it's crazy. >> I know, it's crazy. >> I know, it's crazy. >> I mean, literally, you're so right, >> I mean, literally, you're so right, >> I mean, literally, you're so right, dude, because dude, because dude, because >> same use cases. >> same use cases. >> same use cases. >> Yeah, and then I'm like, >> Yeah, and then I'm like, >> Yeah, and then I'm like, it I saw a lot of that at MWC, and I'm it I saw a lot of that at MWC, and I'm it I saw a lot of that at MWC, and I'm looking at these demos going looking at these demos going looking at these demos going Wait a minute. You're This is like Wait a minute. You're This is like Wait a minute. You're This is like from like, you know, when we were at from like, you know, when we were at from like, you know, when we were at >> [laughter] >> [laughter] >> [laughter] >> IoT Solutions World Congress, Rob. >> IoT Solutions World Congress, Rob. >> IoT Solutions World Congress, Rob. >> What we need is an AI-enabled vending >> What we need is an AI-enabled vending >> What we need is an AI-enabled vending machine that anticipates what you want machine that anticipates what you want machine that anticipates what you want and and spits it at you in or or makes a and and spits it at you in or or makes a and and spits it at you in or or makes a drink that's Coke. I'm sure there's drink that's Coke. I'm sure there's drink that's Coke. I'm sure there's someone someone someone who can who can who can >> [laughter] >> [laughter] >> [laughter] >> walking by the vending machine and it >> walking by the vending machine and it >> walking by the vending machine and it just like shoots it RIGHT AT YOU. just like shoots it RIGHT AT YOU. just like shoots it RIGHT AT YOU. >> [laughter] >> YOU WANT A SNICKERS BAR, RIGHT TO YOU. >> YOU WANT A SNICKERS BAR, RIGHT TO YOU. >> [laughter] >> [laughter] >> [laughter] >> Whether you want >> Whether you want >> Whether you want Whether you like it or not. Whether you like it or not. Whether you like it or not. >> Exactly. Oh my god. >> Exactly. Oh my god. >> Exactly. Oh my god. >> Oh my god, it's too funny. >> Oh my god, it's too funny. >> Oh my god, it's too funny. >> Wow. >> Wow. >> Wow. >> Yeah, I mean, you know, we're not being >> Yeah, I mean, you know, we're not being >> Yeah, I mean, you know, we're not being negative.

negative. negative. >> [laughter] >> [laughter] >> [laughter] >> Well, I mean >> Well, I mean >> Well, I mean >> practical. It's just freaking silly, >> practical. It's just freaking silly, >> practical. It's just freaking silly, right? I mean, we're it's right? I mean, we're it's right? I mean, we're it's Why Why does pointing out silly stuff Why Why does pointing out silly stuff Why Why does pointing out silly stuff equate to being negative or pessimistic equate to being negative or pessimistic equate to being negative or pessimistic or cynical? It doesn't, right? or cynical? It doesn't, right? or cynical? It doesn't, right? >> Well, I mean, the the positive >> Well, I mean, the the positive >> Well, I mean, the the positive >> It's just people >> It's just people >> It's just people Huh? Huh? Huh? >> The The positive aspect might be a >> The The positive aspect might be a >> The The positive aspect might be a course correction post-COVID because if course correction post-COVID because if course correction post-COVID because if you think about the societal damage that you think about the societal damage that you think about the societal damage that was done, you know, during COVID. But, was done, you know, during COVID. But, was done, you know, during COVID. But, you know, when you look at the kids The you know, when you look at the kids The you know, when you look at the kids The kids' generation, you know, they they kids' generation, you know, they they kids' generation, you know, they they they had a they had a they had a a pivotal period in their lives where a pivotal period in their lives where a pivotal period in their lives where their social network was was was gone. their social network was was was gone. their social network was was was gone. >> Yeah. >> Yeah. >> Yeah. >> I You know, and the hopeful >> I You know, and the hopeful >> I You know, and the hopeful interpretation is that actually AI is interpretation is that actually AI is interpretation is that actually AI is the shock. the shock. the shock. AI is the shock that is pushing people AI is the shock that is pushing people AI is the shock that is pushing people back towards analog, face-to-face, human back towards analog, face-to-face, human back towards analog, face-to-face, human what can what humans can have, what can what humans can have, what can what humans can have, creativity, you know, conversation, you creativity, you know, conversation, you creativity, you know, conversation, you know, etc. May- Maybe maybe know, etc. May- Maybe maybe know, etc. May- Maybe maybe I mean, every generation is smarter than I mean, every generation is smarter than I mean, every generation is smarter than the last. Maybe this generation is is the last. Maybe this generation is is the last. Maybe this generation is is figuring out, you know, how to go back figuring out, you know, how to go back figuring out, you know, how to go back and fix some of those problems spurred and fix some of those problems spurred and fix some of those problems spurred on by, you know, the trigger of AI. I on by, you know, the trigger of AI. I on by, you know, the trigger of AI. I mean, that that mean, that that mean, that that That's the That's the positive our That's the That's the positive our That's the That's the positive our interpretation, and there's no reason interpretation, and there's no reason interpretation, and there's no reason why it shouldn't be the case.

why it shouldn't be the case. why it shouldn't be the case. >> Yeah, that would be a positive. And >> Yeah, that would be a positive. And >> Yeah, that would be a positive. And maybe it's the AI slap that will make maybe it's the AI slap that will make maybe it's the AI slap that will make that that that happen. I mean, that's that that that happen. I mean, that's that that that happen. I mean, that's kind of what you're alluding to, right? kind of what you're alluding to, right? kind of what you're alluding to, right? It's It's cuz the AI slap is just going It's It's cuz the AI slap is just going It's It's cuz the AI slap is just going to be tremendously unhealthy for to be tremendously unhealthy for to be tremendously unhealthy for everything. everything. everything. >> I love the return to analog. >> I love the return to analog. >> I love the return to analog. >> Yeah, it's it's My kids about My >> Yeah, it's it's My kids about My >> Yeah, it's it's My kids about My 15-year-old buys LPs. He goes and He 15-year-old buys LPs. He goes and He 15-year-old buys LPs. He goes and He goes and goes and goes and buys and buys records and you know, it's buys and buys records and you know, it's buys and buys records and you know, it's it's everything analog. Everything it's everything analog. Everything it's everything analog. Everything analog. analog. analog. >> start caring about things like >> start caring about things like >> start caring about things like cartridges and needles and things like cartridges and needles and things like cartridges and needles and things like that and belt drive versus direct drive that and belt drive versus direct drive that and belt drive versus direct drive and Dolby B versus Dolby C versus DBX and Dolby B versus Dolby C versus DBX and Dolby B versus Dolby C versus DBX like we should. That's what we should be like we should. That's what we should be like we should. That's what we should be worrying about instead of all this other worrying about instead of all this other worrying about instead of all this other nonsense. nonsense. nonsense. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> You know, electrostatic speakers versus >> You know, electrostatic speakers versus >> You know, electrostatic speakers versus you know you know you know >> 3 million 3 million >> 3 million 3 million >> 3 million 3 million What is it? How many like 11 million What is it? How many like 11 million What is it? How many like 11 million songs that we'll never listen to? songs that we'll never listen to? songs that we'll never listen to? >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. That's why all the kids are going >> Yeah. That's why all the kids are going >> Yeah. That's why all the kids are going back to yacht rock, baby.

back to yacht rock, baby. back to yacht rock, baby. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> All right. So, hey, >> All right. So, hey, >> All right. So, hey, you want to take us out, Rob? you want to take us out, Rob? you want to take us out, Rob? It it It it It it >> No, I think I think the guy with the >> No, I think I think the guy with the >> No, I think I think the guy with the cool coffee talk background should take cool coffee talk background should take cool coffee talk background should take us us us >> Yeah, I think you should, too. Dude. >> Yeah, I think you should, too. Dude. >> Yeah, I think you should, too. Dude. >> That's pretty awesome. >> That's pretty awesome. >> That's pretty awesome. >> This is This is what you get when you >> This is This is what you get when you >> This is This is what you get when you feed your resume into ChatGPT and say, feed your resume into ChatGPT and say, feed your resume into ChatGPT and say, "I've got an Odyssey Coffee Talk podcast "I've got an Odyssey Coffee Talk podcast "I've got an Odyssey Coffee Talk podcast coming up this morning. Build me a Build coming up this morning. Build me a Build coming up this morning. Build me a Build me a background." And this is This is me a background." And this is This is me a background." And this is This is what I came up with. I was like, "Wow, what I came up with. I was like, "Wow, what I came up with. I was like, "Wow, let's use it." The irony being that the let's use it." The irony being that the let's use it." The irony being that the brain the AI brain is is brain the AI brain is is brain the AI brain is is replacing [laughter] mine. replacing [laughter] mine. replacing [laughter] mine. I think it might be a subtle message I think it might be a subtle message I think it might be a subtle message from from ChatGPT. It's like, from from ChatGPT. It's like, from from ChatGPT. It's like, >> That's awesome. >> That's awesome. >> That's awesome. >> "I'm right behind you." >> "I'm right behind you." >> "I'm right behind you." >> [laughter] >> [laughter] >> [laughter] >> Your day is done. >> Your day is done. >> Your day is done. >> powered by AI. >> powered by AI. >> powered by AI. >> [laughter] >> [laughter] >> [laughter] >> I've been I've been watching I've been >> I've been I've been watching I've been >> I've been I've been watching I've been watching this dinosaur series with watching this dinosaur series with watching this dinosaur series with Morgan Freeman and and you know, the Morgan Freeman and and you know, the Morgan Freeman and and you know, the analog to what's happening today is analog to what's happening today is analog to what's happening today is All these dinosaurs didn't understand All these dinosaurs didn't understand All these dinosaurs didn't understand what the was happening. what the was happening. what the was happening. >> Is that good, by the way? Is that a good >> Is that good, by the way? Is that a good >> Is that good, by the way? Is that a good dinosaur dinosaur dinosaur >> Netflix, right?

>> Netflix, right? >> Netflix, right? >> Netflix? >> Netflix? >> Netflix? >> Uh yeah. Yeah. >> Uh yeah. Yeah. >> Uh yeah. Yeah. >> Okay. >> Okay. >> Okay. >> Okay, I got to check it out. I love >> Okay, I got to check it out. I love >> Okay, I got to check it out. I love dinosaurs. dinosaurs. dinosaurs. >> Anything where I hear Morgan Freeman >> Anything where I hear Morgan Freeman >> Anything where I hear Morgan Freeman talking talking talking I'm all in. I'm all in. I'm all in. >> It's like I love it. It's almost as good >> It's like I love it. It's almost as good >> It's like I love it. It's almost as good as David Attenborough. as David Attenborough. as David Attenborough. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Love David Attenborough, absolutely. >> Love David Attenborough, absolutely. >> Love David Attenborough, absolutely. Yeah. Yeah. Yeah. >> Yeah. >> Yeah. >> Yeah. >> But watch out. Richard Attenborough, his >> But watch out. Richard Attenborough, his >> But watch out. Richard Attenborough, his brother, was in Jurassic Park. So, WHAT brother, was in Jurassic Park. So, WHAT brother, was in Jurassic Park. So, WHAT COULD GO >> NO WAY. WOW. >> NO WAY. WOW. >> NO, NO, THE guy's name was >> NO, NO, THE guy's name was >> NO, NO, THE guy's name was >> He was He was the the >> He was He was the the >> He was He was the the >> the old guy. >> the old guy. >> the old guy. >> Yeah, the old guy. The old [laughter] >> Yeah, the old guy. The old [laughter] >> Yeah, the old guy. The old [laughter] guy. guy. guy. >> We just found them in amber and then we >> We just found them in amber and then we >> We just found them in amber and then we put some DNA together and then put some DNA together and then put some DNA together and then >> He used the frog and he >> He used the frog and he >> He used the frog and he >> for [laughter] the missing leg. What >> for [laughter] the missing leg. What >> for [laughter] the missing leg. What could go wrong? They're all girls. could go wrong? They're all girls. could go wrong? They're all girls. >> They could have just used bird bird I >> They could have just used bird bird I >> They could have just used bird bird I mean that's birds are dinosaurs, you mean that's birds are dinosaurs, you mean that's birds are dinosaurs, you know? know? know? >> Yeah. >> Yeah. >> Yeah. >> They're just flying. >> They're just flying. >> They're just flying. All right, dude. Take us out, man. All right, dude. Take us out, man. All right, dude. Take us out, man. >> What does that involve? I don't know >> What does that involve? I don't know >> What does that involve? I don't know that I've never done that. that I've never done that. that I've never done that. >> You know, thanks for listening in. >> You know, thanks for listening in. >> You know, thanks for listening in. >> Oh, yes. Well, yes, indeed. Thank you >> Oh, yes. Well, yes, indeed. Thank you >> Oh, yes. Well, yes, indeed. Thank you for listening.

for listening. for listening. Um hopefully this is rambling has um has Um hopefully this is rambling has um has Um hopefully this is rambling has um has contributed something to your thought contributed something to your thought contributed something to your thought process. process. process. Um if you witness the the the analog Um if you witness the the the analog Um if you witness the the the analog machinations of our old wrinkled brains machinations of our old wrinkled brains machinations of our old wrinkled brains um and you take some value from it, um and you take some value from it, um and you take some value from it, fantastic. If not, fantastic. If not, fantastic. If not, go put it in chat GPT and see if that go put it in chat GPT and see if that go put it in chat GPT and see if that can come up with something more can come up with something more can come up with something more sensible. sensible. sensible. >> Love it. Love it. >> Love it. Love it. >> Love it. Love it. >> That's it. And by the way, everyone's >> That's it. And by the way, everyone's >> That's it. And by the way, everyone's brains are wrinkled. Just so that you brains are wrinkled. Just so that you brains are wrinkled. Just so that you know. know. know. >> [laughter] >> [laughter] >> [laughter] >> Yeah, well, we have other wrinkled >> Yeah, well, we have other wrinkled >> Yeah, well, we have other wrinkled things now, so. >> Well, we are old. >> Well, we are old. >> That's why we have filters on our >> That's why we have filters on our >> That's why we have filters on our laptops that do smoothing and things laptops that do smoothing and things laptops that do smoothing and things like that. like that. like that. >> Indeed. Indeed. >> Indeed. Indeed. >> Indeed. Indeed. >> All right. All right, guys. >> All right. All right, guys. >> All right. All right, guys. >> See you guys. Take care.