IoT Coffee Talk: Episode 299 - "Choose Your Own AI Dystopia" (30 Seconds to Midnight)

Yeah. Yeah. >> Yes. >> Yes. >> Yes. >> Rock and roll. >> Rock and roll. >> Rock and roll. >> You know, I wasn't sure what you were >> You know, I wasn't sure what you were >> You know, I wasn't sure what you were playing at for, but at some point I playing at for, but at some point I playing at for, but at some point I thought you were playing the best of thought you were playing the best of thought you were playing the best of both worlds. both worlds. both worlds. >> No. Um, it's on the U812 album. >> No. Um, it's on the U812 album. >> No. Um, it's on the U812 album. >> Yeah, Jimmy Haggar. >> Yeah, Jimmy Haggar. >> Yeah, Jimmy Haggar. >> I think arguably the last great Van >> I think arguably the last great Van >> I think arguably the last great Van Halen album and it's the last song. It's Halen album and it's the last song. It's Halen album and it's the last song. It's called Appalitical called Appalitical called Appalitical Blues. Blues. Blues. >> Okay. >> Okay. >> Okay. >> Uh, yeah. Just in time for the AI >> Uh, yeah. Just in time for the AI >> Uh, yeah. Just in time for the AI apocalypse, right? apocalypse, right? apocalypse, right? >> We're here, man. what's happening >> We're here, man. what's happening >> We're here, man. what's happening >> with um how did you end up not end up as >> with um how did you end up not end up as >> with um how did you end up not end up as an analyst not you know can you remind an analyst not you know can you remind an analyst not you know can you remind me of a friend of mine who said to me me of a friend of mine who said to me me of a friend of mine who said to me once I moved to LA with my speed metal once I moved to LA with my speed metal once I moved to LA with my speed metal band in the 80s and then started band in the 80s and then started band in the 80s and then started realized I was never going to make any realized I was never going to make any realized I was never going to make any money at all and started working in a in money at all and started working in a in money at all and started working in a in a DVD shop and then met like some a DVD shop and then met like some a DVD shop and then met like some whatever how I mean have you always been whatever how I mean have you always been whatever how I mean have you always been able to play like this able to play like this able to play like this >> have I been no I've been a consultant >> have I been no I've been a consultant >> have I been no I've been a consultant you know, tech consultant back in the you know, tech consultant back in the you know, tech consultant back in the day, you know, developer, um, solution day, you know, developer, um, solution day, you know, developer, um, solution architect, blah blah blah, all the whole architect, blah blah blah, all the whole architect, blah blah blah, all the whole nine yards. Project manager, business nine yards. Project manager, business nine yards. Project manager, business transformation consultant, transformation consultant, transformation consultant, >> CIO, advisor, blah, blah, blah. The >> CIO, advisor, blah, blah, blah. The >> CIO, advisor, blah, blah, blah. The whole whole whole >> All kinds of >> All kinds of >> All kinds of >> No professional musician in there, >> No professional musician in there, >> No professional musician in there, >> huh?

>> huh? >> huh? >> No professional musician in there. Why >> No professional musician in there. Why >> No professional musician in there. Why not? not? not? >> No, I know. It's because my in >> No, I know. It's because my in >> No, I know. It's because my in particular my mom she said that if you particular my mom she said that if you particular my mom she said that if you know my parents they told me if I ever know my parents they told me if I ever know my parents they told me if I ever become a uh professional musician become a uh professional musician become a uh professional musician they'll disown me. they'll disown me. they'll disown me. >> You must be a doctor or a lawyer. >> You must be a doctor or a lawyer. >> You must be a doctor or a lawyer. >> Yeah. This is this is as old as time >> Yeah. This is this is as old as time >> Yeah. This is this is as old as time itself. The parents saying you need to itself. The parents saying you need to itself. The parents saying you need to get a real job and get a real job and get a real job and >> but it turns out here I'll tell you a >> but it turns out here I'll tell you a >> but it turns out here I'll tell you a funny story. One of my buddies went to funny story. One of my buddies went to funny story. One of my buddies went to USC guitar school and this guy's like USC guitar school and this guy's like USC guitar school and this guy's like the biggest mooch in the world. You the biggest mooch in the world. You the biggest mooch in the world. You would never think that this guy would do would never think that this guy would do would never think that this guy would do well, right? Friaking ends up working well, right? Friaking ends up working well, right? Friaking ends up working for Sabon and um what is it? The Power for Sabon and um what is it? The Power for Sabon and um what is it? The Power Rangers. He ended up composing um and Rangers. He ended up composing um and Rangers. He ended up composing um and actually performing a lot of the music actually performing a lot of the music actually performing a lot of the music for these kids shows, for these kids shows, for these kids shows, >> but then he also did all those little >> but then he also did all those little >> but then he also did all those little jingles and um Friends, you know, like jingles and um Friends, you know, like jingles and um Friends, you know, like when you know they had after the when you know they had after the when you know they had after the commercial break or whatever these trans commercial break or whatever these trans commercial break or whatever these trans he did all those little jingles.

he did all those little jingles. he did all those little jingles. >> Dude, the dude made so much money. So, I >> Dude, the dude made so much money. So, I >> Dude, the dude made so much money. So, I saw Hollywood, I don't know, this might saw Hollywood, I don't know, this might saw Hollywood, I don't know, this might be about 10 years ago and he was doing be about 10 years ago and he was doing be about 10 years ago and he was doing his little um private concert. He'd his little um private concert. He'd his little um private concert. He'd written some songs written some songs written some songs >> and he's up on stage uh performing for a >> and he's up on stage uh performing for a >> and he's up on stage uh performing for a pretty small crowd. Um, nobody knows who pretty small crowd. Um, nobody knows who pretty small crowd. Um, nobody knows who he is, right? Amazing guitar player by he is, right? Amazing guitar player by he is, right? Amazing guitar player by the way. Even when we were young, he was the way. Even when we were young, he was the way. Even when we were young, he was just like a freak. He uh he sits there just like a freak. He uh he sits there just like a freak. He uh he sits there has all these really expensive guitars, has all these really expensive guitars, has all these really expensive guitars, right? Like Martins and stuff like that. right? Like Martins and stuff like that. right? Like Martins and stuff like that. He's playing them and the dude's like He's playing them and the dude's like He's playing them and the dude's like just chucking them on the ground like just chucking them on the ground like just chucking them on the ground like they're worthless they're worthless they're worthless paper. Yeah. I was like watching this paper. Yeah. I was like watching this paper. Yeah. I was like watching this guy going, "Dude, what are you doing? guy going, "Dude, what are you doing? guy going, "Dude, what are you doing? That's like a $5,000 guitar that you're That's like a $5,000 guitar that you're That's like a $5,000 guitar that you're just like I mean that was like like but just like I mean that was like like but just like I mean that was like like but uh yeah he he he makes so much in uh yeah he he he makes so much in uh yeah he he he makes so much in royalty money that he can afford to just royalty money that he can afford to just royalty money that he can afford to just chuck a you know a5 $6,000 Mark guitar chuck a you know a5 $6,000 Mark guitar chuck a you know a5 $6,000 Mark guitar on the floor like it's on the floor like it's on the floor like it's >> Yeah.

>> Yeah. >> Yeah. >> And we're getting under Strat. >> And we're getting under Strat. >> And we're getting under Strat. >> And where's And where is the sound >> And where's And where is the sound >> And where's And where is the sound engineer right now? We're getting static engineer right now? We're getting static engineer right now? We're getting static and a little a little hiss. and a little a little hiss. and a little a little hiss. >> Who's that? >> Who's that? >> Who's that? >> There. Now it's gone. >> There. Now it's gone. >> There. Now it's gone. >> You know what? This is gonna be called >> You know what? This is gonna be called >> You know what? This is gonna be called the sound check. Sound problem. the sound check. Sound problem. the sound check. Sound problem. >> Check. >> Check. >> Check. >> Well, you know what, Leonard? Alistar >> Well, you know what, Leonard? Alistar >> Well, you know what, Leonard? Alistar and Pete and I are officially your new and Pete and I are officially your new and Pete and I are officially your new parents. And we're going to tell you to parents. And we're going to tell you to parents. And we're going to tell you to stop wasting your life with this tech stop wasting your life with this tech stop wasting your life with this tech stuff and go on the road with stuff and go on the road with stuff and go on the road with >> whiskey. A go- go. Whiskey a go. Next >> whiskey. A go- go. Whiskey a go. Next >> whiskey. A go- go. Whiskey a go. Next stop. stop. stop. >> Yes. Uh, >> Yes. Uh, >> Yes. Uh, >> stop wasting your time with this boring >> stop wasting your time with this boring >> stop wasting your time with this boring tech stuff, man. You should be rocking. tech stuff, man. You should be rocking. tech stuff, man. You should be rocking. AI is a dead end. AI is a dead end. AI is a dead end. >> No, you know, you know, I I I I could >> No, you know, you know, I I I I could >> No, you know, you know, I I I I could probably become a studio. You know, the probably become a studio. You know, the probably become a studio. You know, the thought has I Why don't I just write thought has I Why don't I just write thought has I Why don't I just write some of my songs and publish them and some of my songs and publish them and some of my songs and publish them and then maybe then maybe then maybe >> make $2 a month uh off of >> make $2 a month uh off of >> make $2 a month uh off of >> SP. >> SP. >> SP. >> Yes, that's what you should do. >> Yes, that's what you should do. >> Yes, that's what you should do. >> Royalties. And the aforementioned friend >> Royalties. And the aforementioned friend >> Royalties. And the aforementioned friend of mine who with a speed metal band is of mine who with a speed metal band is of mine who with a speed metal band is now a movie composer and did all the now a movie composer and did all the now a movie composer and did all the music for Hurt Locker and Batman and music for Hurt Locker and Batman and music for Hurt Locker and Batman and >> Oh wowing >> Oh wowing >> Oh wowing makes a makes a bomb. Yeah.

makes a makes a bomb. Yeah. makes a makes a bomb. Yeah. >> Yeah. >> Yeah. >> Yeah. >> Okay. Awesome. Everyone, welcome to IoT >> Okay. Awesome. Everyone, welcome to IoT >> Okay. Awesome. Everyone, welcome to IoT Coffee Talk and remember um to take us Coffee Talk and remember um to take us Coffee Talk and remember um to take us seriously at your own dire peril and we seriously at your own dire peril and we seriously at your own dire peril and we highly recommend that you take out highly recommend that you take out highly recommend that you take out insurance especially if you decide to do insurance especially if you decide to do insurance especially if you decide to do anything really stupidly anything really stupidly anything really stupidly heeding anything that we see because heeding anything that we see because heeding anything that we see because we're here just to have fun. We're here we're here just to have fun. We're here we're here just to have fun. We're here for um you know I guess yeah for um you know I guess yeah for um you know I guess yeah >> semiformational >> semiformational >> semiformational purposes. So purposes. So purposes. So >> that's right. This is entertainment. >> that's right. This is entertainment. >> that's right. This is entertainment. We're not stock advice. Feeling really We're not stock advice. Feeling really We're not stock advice. Feeling really bad for all the people with their Amazon bad for all the people with their Amazon bad for all the people with their Amazon stock cratering right now. stock cratering right now. stock cratering right now. >> Micro every I mean Microsoft stocks not >> Micro every I mean Microsoft stocks not >> Micro every I mean Microsoft stocks not >> Oh Microsoft just free fall. Yeah. >> Oh Microsoft just free fall. Yeah. >> Oh Microsoft just free fall. Yeah. >> Lost $1.5 trillion. >> Lost $1.5 trillion. >> Lost $1.5 trillion. >> Ouch. >> Ouch. >> Ouch. >> But who's counting? >> But who's counting? >> But who's counting? >> Ouch. But who's count? But you know >> Ouch. But who's count? But you know >> Ouch. But who's count? But you know what's funny is Apple is doing pretty what's funny is Apple is doing pretty what's funny is Apple is doing pretty well. well. well. They're just going They're just going They're just going >> the one the one company who didn't go >> the one the one company who didn't go >> the one the one company who didn't go all in with AI is doing the best.

all in with AI is doing the best. all in with AI is doing the best. >> Yeah. Because you know this is what's >> Yeah. Because you know this is what's >> Yeah. Because you know this is what's going to happen. They're gonna they're going to happen. They're gonna they're going to happen. They're gonna they're going to look for they're waiting for going to look for they're waiting for going to look for they're waiting for the fire sale. the fire sale. the fire sale. >> They're going to pick up one of these >> They're going to pick up one of these >> They're going to pick up one of these companies for pennies on the dollar. companies for pennies on the dollar. companies for pennies on the dollar. >> Yeah. >> Yeah. >> Yeah. >> Yep. >> Yep. >> Yep. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> They will because you know what I mean? >> They will because you know what I mean? >> They will because you know what I mean? It's it's something that I I've been It's it's something that I I've been It's it's something that I I've been saying for a long time. These guys are saying for a long time. These guys are saying for a long time. These guys are going asset light. You know, this is a going asset light. You know, this is a going asset light. You know, this is a three-year-old narrative. And you know, three-year-old narrative. And you know, three-year-old narrative. And you know, you have all these guys saying, "Oh, you you have all these guys saying, "Oh, you you have all these guys saying, "Oh, you need to buy Perplexity for 14 billion need to buy Perplexity for 14 billion need to buy Perplexity for 14 billion now." I mean, is it now." I mean, is it now." I mean, is it >> how smart on that on that topic? If you >> how smart on that on that topic? If you >> how smart on that on that topic? If you look at the Google results, is really look at the Google results, is really look at the Google results, is really interesting. You know, they hold in interesting. You know, they hold in interesting. You know, they hold in about 400 billion in revenue, which is about 400 billion in revenue, which is about 400 billion in revenue, which is amazing. About 300 billion was search, amazing. About 300 billion was search, amazing. About 300 billion was search, which 17%. So for them like and they're which 17%. So for them like and they're which 17%. So for them like and they're doing a good job with Gemini and doing a good job with Gemini and doing a good job with Gemini and integration into workspace and stuff integration into workspace and stuff integration into workspace and stuff >> but the two big things were people are >> but the two big things were people are >> but the two big things were people are using a lot more search because it's AI using a lot more search because it's AI using a lot more search because it's AI powered search now. So that's powered search now. So that's powered search now. So that's >> solid business model you know all day >> solid business model you know all day >> solid business model you know all day all night. all night. all night. >> Yeah. >> Yeah. >> Yeah. >> And then um the other thing they're >> And then um the other thing they're >> And then um the other thing they're doing is they're gaining market share in doing is they're gaining market share in doing is they're gaining market share in the cloud the cloud the cloud >> because they've been kind of deep third >> because they've been kind of deep third >> because they've been kind of deep third place behind Microsoft.

place behind Microsoft. place behind Microsoft. >> Yeah. >> Yeah. >> Yeah. >> So they grew big on the cloud >> So they grew big on the cloud >> So they grew big on the cloud >> because there's a lot of upside there. >> because there's a lot of upside there. >> because there's a lot of upside there. Uh so companies are really doing well. Uh so companies are really doing well. Uh so companies are really doing well. It's the issue is but they also said It's the issue is but they also said It's the issue is but they also said they're going to spend 180 billion on they're going to spend 180 billion on they're going to spend 180 billion on capex infrastructure. So capex infrastructure. So capex infrastructure. So >> but nobody nobody likes you know the >> but nobody nobody likes you know the >> but nobody nobody likes you know the thing is is um the TAM actually for thing is is um the TAM actually for thing is is um the TAM actually for advertising is limited. It's not advertising is limited. It's not advertising is limited. It's not infinite unless you jin up impressions infinite unless you jin up impressions infinite unless you jin up impressions and you inflate the market with and you inflate the market with and you inflate the market with synthetic engagement. Um, synthetic engagement. Um, synthetic engagement. Um, >> oh my god, I just love all the words >> oh my god, I just love all the words >> oh my god, I just love all the words you're saying there because that's what you're saying there because that's what you're saying there because that's what we are all about is jinning up hype and we are all about is jinning up hype and we are all about is jinning up hype and engagement. engagement. engagement. >> Up with synthetics. >> Up with synthetics. >> Up with synthetics. >> Synthetic, man. >> Synthetic, man. >> Synthetic, man. >> Synthetic data. >> Synthetic data. >> Synthetic data. >> If that's what we need, we're going to >> If that's what we need, we're going to >> If that's what we need, we're going to bring synthetic data. We're all about bring synthetic data. We're all about bring synthetic data. We're all about that. Exactly. that. Exactly. that. Exactly. >> Synthetic data. Where is Steve Broomer? >> Synthetic data. Where is Steve Broomer? >> Synthetic data. Where is Steve Broomer? I thought his I thought his I thought his >> synthetic Steve. >> synthetic Steve. >> synthetic Steve. Yeah, I did get that email from his AI Yeah, I did get that email from his AI Yeah, I did get that email from his AI that was taking notes last time. that was taking notes last time. that was taking notes last time. >> A little pre-eread. No, it was a little >> A little pre-eread. No, it was a little >> A little pre-eread. No, it was a little pre-eread. pre-eread. pre-eread. >> Yeah, AI bot giving us a little heads >> Yeah, AI bot giving us a little heads >> Yeah, AI bot giving us a little heads up. So, I thought that was cool.

up. So, I thought that was cool. up. So, I thought that was cool. >> If if he's on the beach right now, which >> If if he's on the beach right now, which >> If if he's on the beach right now, which he probably is, he is. he probably is, he is. he probably is, he is. >> He could get on. >> He could get on. >> He could get on. >> He's loving life, man. >> He's loving life, man. >> He's loving life, man. >> He think his AI model is on the >> He think his AI model is on the >> He think his AI model is on the >> Well, you know, his crypto is not doing >> Well, you know, his crypto is not doing >> Well, you know, his crypto is not doing all that great right now, but all that great right now, but all that great right now, but >> Well, yeah, Bitcoin is sliding sliding >> Well, yeah, Bitcoin is sliding sliding >> Well, yeah, Bitcoin is sliding sliding hard. hard. hard. >> Yeah, exactly. What was interesting is >> Yeah, exactly. What was interesting is >> Yeah, exactly. What was interesting is we've seen so many companies lately, we've seen so many companies lately, we've seen so many companies lately, tech companies, and they actually blow tech companies, and they actually blow tech companies, and they actually blow out their earnings on the top and bottom out their earnings on the top and bottom out their earnings on the top and bottom line and then their stock just collapses line and then their stock just collapses line and then their stock just collapses anyway. And so we're seeing a lot of anyway. And so we're seeing a lot of anyway. And so we're seeing a lot of that. And then Amazon came out and they that. And then Amazon came out and they that. And then Amazon came out and they missed. They had a miss. And I was like, missed. They had a miss. And I was like, missed. They had a miss. And I was like, well, maybe the stock will go up because well, maybe the stock will go up because well, maybe the stock will go up because it's a miss. No, it's in a mega free it's a miss. No, it's in a mega free it's a miss. No, it's in a mega free fall. Just one other thing. Yeah. Go fall. Just one other thing. Yeah. Go fall. Just one other thing. Yeah. Go ahead. ahead. ahead. >> No. And the market's not happy about >> No. And the market's not happy about >> No. And the market's not happy about because they also announced the insane because they also announced the insane because they also announced the insane capex they're going to be spending in capex they're going to be spending in capex they're going to be spending in the coming year and the market's not the coming year and the market's not the coming year and the market's not loving that. loving that. loving that. >> Yeah. >> Yeah. >> Yeah. >> The the thing I'd heard about like SAS >> The the thing I'd heard about like SAS >> The the thing I'd heard about like SAS companies for example like Salesforce companies for example like Salesforce companies for example like Salesforce whatever. I mean a lot of these folks whatever. I mean a lot of these folks whatever. I mean a lot of these folks are getting pounded. One of the problems are getting pounded. One of the problems are getting pounded. One of the problems is that first of all it's unclear what is that first of all it's unclear what is that first of all it's unclear what AI is going to do with their value prop.

AI is going to do with their value prop. AI is going to do with their value prop. But the other thing is frankly because But the other thing is frankly because But the other thing is frankly because of the tech layoffs there's less seats of the tech layoffs there's less seats of the tech layoffs there's less seats to sell your into. So yeah, to sell your into. So yeah, to sell your into. So yeah, >> think about that as a con. You know, >> think about that as a con. You know, >> think about that as a con. You know, there's less seats, enterprise seats there's less seats, enterprise seats there's less seats, enterprise seats because of the layoffs. There's less because of the layoffs. There's less because of the layoffs. There's less revenue for the SAS companies. revenue for the SAS companies. revenue for the SAS companies. >> Yeah. >> Yeah. >> Yeah. >> So that's another thing that's kind of >> So that's another thing that's kind of >> So that's another thing that's kind of weighing down on some of these folks, weighing down on some of these folks, weighing down on some of these folks, too. So it's a lot of different factors. too. So it's a lot of different factors. too. So it's a lot of different factors. And it was like, if you saw Bob And it was like, if you saw Bob And it was like, if you saw Bob O'Donnell published a good article this O'Donnell published a good article this O'Donnell published a good article this week about business models. week about business models. week about business models. >> Yeah, I read that. That was good. That >> Yeah, I read that. That was good. That >> Yeah, I read that. That was good. That was good. was good. was good. >> Good. Because like you look at Google, >> Good. Because like you look at Google, >> Good. Because like you look at Google, they have a business model. It's called they have a business model. It's called they have a business model. It's called ads. Okay, I get it. AI powered ads ads. Okay, I get it. AI powered ads ads. Okay, I get it. AI powered ads makes sense. But like generic chat bots makes sense. But like generic chat bots makes sense. But like generic chat bots um as a business model you see with like um as a business model you see with like um as a business model you see with like copilot it's like hey 30 bucks you know copilot it's like hey 30 bucks you know copilot it's like hey 30 bucks you know per user it's like what are you using it per user it's like what are you using it per user it's like what are you using it for? Well you know do stuff. It's like for? Well you know do stuff. It's like for? Well you know do stuff. It's like >> yeah but you know what I I think um more >> yeah but you know what I I think um more >> yeah but you know what I I think um more stuff. I I think a lot of what the stuff. I I think a lot of what the stuff. I I think a lot of what the problem with this business model um problem with this business model um problem with this business model um discussion is a lot of folks haven't discussion is a lot of folks haven't discussion is a lot of folks haven't really looked at the economics of really looked at the economics of really looked at the economics of um the token tokconomics, right?

um the token tokconomics, right? um the token tokconomics, right? >> How much would it cost to >> How much would it cost to >> How much would it cost to >> Did you make up a new word? >> Did you make up a new word? >> Did you make up a new word? >> No, no, no. It's been around forever. >> No, no, no. It's been around forever. >> No, no, no. It's been around forever. It's like the most despicable term ever. It's like the most despicable term ever. It's like the most despicable term ever. >> Tokconomics. Yeah. >> Tokconomics. Yeah. >> Tokconomics. Yeah. >> Wow. Love that. >> Wow. Love that. >> Wow. Love that. >> Come on, dude. Don't tell me you don't >> Come on, dude. Don't tell me you don't >> Come on, dude. Don't tell me you don't know what tokconomics is. No one else know what tokconomics is. No one else know what tokconomics is. No one else does. does. does. >> I thought it was from Chich and Chong. >> I thought it was from Chich and Chong. >> I thought it was from Chich and Chong. >> Tokenomics. >> Tokenomics. >> Tokenomics. >> Yeah. Well, you know what it is? It is a >> Yeah. Well, you know what it is? It is a >> Yeah. Well, you know what it is? It is a byproduct of smoking a lot of pot. So, byproduct of smoking a lot of pot. So, byproduct of smoking a lot of pot. So, yeah. Um, yeah. Um, yeah. Um, >> there is a connection in there. >> there is a connection in there. >> there is a connection in there. >> Yeah, there is a there is a connection. >> Yeah, there is a there is a connection. >> Yeah, there is a there is a connection. >> But, >> But, >> But, >> no, no, no. I mean, you know, it's easy >> no, no, no. I mean, you know, it's easy >> no, no, no. I mean, you know, it's easy to shoot the about business models, to shoot the about business models, to shoot the about business models, but and and revenue u models, but uh the but and and revenue u models, but uh the but and and revenue u models, but uh the thing is, you know, people aren't thing is, you know, people aren't thing is, you know, people aren't thinking this through. The thing the thinking this through. The thing the thinking this through. The thing the what's highly discounted is the old way what's highly discounted is the old way what's highly discounted is the old way of doing stuff, which is highly of doing stuff, which is highly of doing stuff, which is highly efficient. will trump the um economics efficient. will trump the um economics efficient. will trump the um economics of all this agentic stuff because you of all this agentic stuff because you of all this agentic stuff because you know I gave a talk at MDN uh MDNM west know I gave a talk at MDN uh MDNM west know I gave a talk at MDN uh MDNM west and and and >> yeah MDNM west it's the medical devices >> yeah MDNM west it's the medical devices >> yeah MDNM west it's the medical devices and manufacturing design and and manufacturing design and and manufacturing design and manufacturing conference actually really manufacturing conference actually really manufacturing conference actually really good I was surprised good I was surprised good I was surprised >> um that the uh nobody has visibility to >> um that the uh nobody has visibility to >> um that the uh nobody has visibility to the economics of uh agentic AI um and the economics of uh agentic AI um and the economics of uh agentic AI um and there's a lot of problem because you there's a lot of problem because you there's a lot of problem because you might have this singular task that you might have this singular task that you might have this singular task that you might want to try to cost out a unit might want to try to cost out a unit might want to try to cost out a unit cost. You can't do that because you

cost. You can't do that because you cost. You can't do that because you don't know how many tokens will be don't know how many tokens will be don't know how many tokens will be burned every single time. This is one of burned every single time. This is one of burned every single time. This is one of the biggest problems that developers the biggest problems that developers the biggest problems that developers have at the moment. And this is why have at the moment. And this is why have at the moment. And this is why you're seeing this constant isolation of you're seeing this constant isolation of you're seeing this constant isolation of things. Also, how do you instantiate things. Also, how do you instantiate things. Also, how do you instantiate these agents and the whole stack that these agents and the whole stack that these agents and the whole stack that you have to deploy? And in order to make you have to deploy? And in order to make you have to deploy? And in order to make it secure, how much cost goes into it secure, how much cost goes into it secure, how much cost goes into actually making it secure? actually making it secure? actually making it secure? >> People have not thought any of this >> People have not thought any of this >> People have not thought any of this stuff through, right? stuff through, right? stuff through, right? >> And so >> And so >> And so >> yeah, so these people on Wall Street, I >> yeah, so these people on Wall Street, I >> yeah, so these people on Wall Street, I will guarantee you, don't know any of will guarantee you, don't know any of will guarantee you, don't know any of this this this >> None of it. They know nothing. >> None of it. They know nothing. >> None of it. They know nothing. >> They know. They're like freaking AI AI >> They know. They're like freaking AI AI >> They know. They're like freaking AI AI >> Johnson. The real cost, the backend cost >> Johnson. The real cost, the backend cost >> Johnson. The real cost, the backend cost is hidden anyway. So you're not actually is hidden anyway. So you're not actually is hidden anyway. So you're not actually seeing reflected the full cost of the seeing reflected the full cost of the seeing reflected the full cost of the infrastructure that's running you know infrastructure that's running you know infrastructure that's running you know running in the background and you know I running in the background and you know I running in the background and you know I mean of all of the things that are going mean of all of the things that are going mean of all of the things that are going on that the the the need to focus on how on that the the the need to focus on how on that the the the need to focus on how we make data center infrastructure you we make data center infrastructure you we make data center infrastructure you know more efficient I think is is I can know more efficient I think is is I can know more efficient I think is is I can struggle to think of a more important struggle to think of a more important struggle to think of a more important issue right now. Um particularly the issue right now. Um particularly the issue right now. Um particularly the energy consumption profile of data energy consumption profile of data energy consumption profile of data centers and the water consumption centers and the water consumption centers and the water consumption profile. I mean, they're building data profile. I mean, they're building data profile. I mean, they're building data centers the size of small cities at the centers the size of small cities at the centers the size of small cities at the moment, which which as you I mean, that moment, which which as you I mean, that moment, which which as you I mean, that has not been thought through. The has not been thought through. The has not been thought through. The implications of that have not been implications of that have not been implications of that have not been thought through. I was interested to see thought through. I was interested to see thought through. I was interested to see what people thought about um what what people thought about um what what people thought about um what maltbot, clawbot, you know, whatever maltbot, clawbot, you know, whatever maltbot, clawbot, you know, whatever it's called today.

it's called today. it's called today. >> The implications of that, I mean, I've >> The implications of that, I mean, I've >> The implications of that, I mean, I've been playing around with that a bit and been playing around with that a bit and been playing around with that a bit and it's it's lumpy. I mean it's it's it's it's it's lumpy. I mean it's it's it's it's it's lumpy. I mean it's it's it's it's not a a consumerfriendly experience it's not a a consumerfriendly experience it's not a a consumerfriendly experience yet but right as a model as a yet but right as a model as a yet but right as a model as a distributed sovereign AI running on your distributed sovereign AI running on your distributed sovereign AI running on your own infra that's kind of the other end own infra that's kind of the other end own infra that's kind of the other end of the spectrum because you know the of the spectrum because you know the of the spectrum because you know the full cost of running that you know full cost of running that you know full cost of running that you know you're paying electricity you're paying electricity you're paying electricity >> definitely I mean it's now it's rife >> definitely I mean it's now it's rife >> definitely I mean it's now it's rife with all kinds of kind of security and with all kinds of kind of security and with all kinds of kind of security and privacy things will commercialize it and privacy things will commercialize it and privacy things will commercialize it and someone will put some you know trust and someone will put some you know trust and someone will put some you know trust and security guard rails around it to make security guard rails around it to make security guard rails around it to make it work I mean I could see if I was in it work I mean I could see if I was in it work I mean I could see if I was in Windows right now. If I was still in Windows right now. If I was still in Windows right now. If I was still in Windows, I would say Windows, I would say Windows, I would say >> we need to be all in on figuring out how >> we need to be all in on figuring out how >> we need to be all in on figuring out how to do kind of, you know, to do kind of, you know, to do kind of, you know, >> personal agentic stuff that spans across >> personal agentic stuff that spans across >> personal agentic stuff that spans across platforms. platforms. platforms. >> Yeah. Yeah. >> Yeah. Yeah. >> Yeah. Yeah. >> Uses Microsoft infrastructure. So, >> Uses Microsoft infrastructure. So, >> Uses Microsoft infrastructure. So, someone's going to do it. But I think someone's going to do it. But I think someone's going to do it. But I think that, you know, that idea of running, that, you know, that idea of running, that, you know, that idea of running, you know, these models locally with you know, these models locally with you know, these models locally with fixed with known cost fixed with known cost fixed with known cost >> like you said, um it's just it's >> like you said, um it's just it's >> like you said, um it's just it's inevitable. inevitable. inevitable. I just got to say, I know it's dangerous I just got to say, I know it's dangerous I just got to say, I know it's dangerous to use it and all that kind of stuff to use it and all that kind of stuff to use it and all that kind of stuff depending on how many rights you give to depending on how many rights you give to depending on how many rights you give to it, but I just have to applaud I'm just it, but I just have to applaud I'm just it, but I just have to applaud I'm just loving it because every tech company has loving it because every tech company has loving it because every tech company has been talking about Aentic AI and how been talking about Aentic AI and how been talking about Aentic AI and how they're going to build all this stuff.

they're going to build all this stuff. they're going to build all this stuff. And guess what? They didn't do it. One And guess what? They didn't do it. One And guess what? They didn't do it. One guy built this thing. One guy vibe coded guy built this thing. One guy vibe coded guy built this thing. One guy vibe coded the out of it and it works and it's the out of it and it works and it's the out of it and it works and it's going crazy and the whole world's going crazy and the whole world's going crazy and the whole world's talking about it and it's not some big talking about it and it's not some big talking about it and it's not some big company and all the big companies are company and all the big companies are company and all the big companies are caught flatfooted going, "Oh crap, some caught flatfooted going, "Oh crap, some caught flatfooted going, "Oh crap, some guy in a garage built this thing. Holy guy in a garage built this thing. Holy guy in a garage built this thing. Holy shit." Love that. shit." Love that. shit." Love that. >> Yeah. Yeah. Look, but you know what I'm >> Yeah. Yeah. Look, but you know what I'm >> Yeah. Yeah. Look, but you know what I'm looking forward to is RSAC looking forward to is RSAC looking forward to is RSAC uh the conference, this cury conference. uh the conference, this cury conference. uh the conference, this cury conference. I want to see what the reaction is I want to see what the reaction is I want to see what the reaction is there. Well, I jokingly said that, you there. Well, I jokingly said that, you there. Well, I jokingly said that, you know, um a lot of the folks who are know, um a lot of the folks who are know, um a lot of the folks who are doing keynote or doing presentations are doing keynote or doing presentations are doing keynote or doing presentations are frantically working on changing their frantically working on changing their frantically working on changing their presentation. Exactly. presentation. Exactly. presentation. Exactly. >> You you could let it loose. You could >> You you could let it loose. You could >> You you could let it loose. You could bring it into the conference and let it bring it into the conference and let it bring it into the conference and let it loose and have it go all over the loose and have it go all over the loose and have it go all over the internal network and just drive internal network and just drive internal network and just drive everybody crazy. We'll see how good that everybody crazy. We'll see how good that everybody crazy. We'll see how good that security is they got there. security is they got there. security is they got there. >> But, you know, Pete makes a good point. >> But, you know, Pete makes a good point. >> But, you know, Pete makes a good point. you know, it's something that is you know, it's something that is you know, it's something that is frightfully frightfully frightfully it's a frightening thing um with it's a frightening thing um with it's a frightening thing um with potential, but if you can make it safe, potential, but if you can make it safe, potential, but if you can make it safe, that's a great business, right?

that's a great business, right? that's a great business, right? >> It's kind of the middle. >> It's kind of the middle. >> It's kind of the middle. >> It's what it's what uh Red Hat and did. >> It's what it's what uh Red Hat and did. >> It's what it's what uh Red Hat and did. >> It also gets a lot of stickiness model >> It also gets a lot of stickiness model >> It also gets a lot of stickiness model personal agent that sort of personal agent that sort of personal agent that sort of >> has access to your things and is trained >> has access to your things and is trained >> has access to your things and is trained on your stuff. It's a very sticky model. on your stuff. It's a very sticky model. on your stuff. It's a very sticky model. Like I'm not really gonna swap that out Like I'm not really gonna swap that out Like I'm not really gonna swap that out for another one, for another one, for another one, >> you know, because there's a lot of >> you know, because there's a lot of >> you know, because there's a lot of retraining, retraining, retraining, >> you know. We should get one we should >> you know. We should get one we should >> you know. We should get one we should get one going and have it hooked into get one going and have it hooked into get one going and have it hooked into our Zoom account for this meeting. our Zoom account for this meeting. our Zoom account for this meeting. >> I think have have another presenter. I >> I think have have another presenter. I >> I think have have another presenter. I mean, it's kind it's kind of like the mean, it's kind it's kind of like the mean, it's kind it's kind of like the middle ground between like edge AI, middle ground between like edge AI, middle ground between like edge AI, which we talk about all the time, and which we talk about all the time, and which we talk about all the time, and and and cloud-based LLM. You know, and and cloud-based LLM. You know, and and cloud-based LLM. You know, there's a whole sw of of of device there's a whole sw of of of device there's a whole sw of of of device classes, I guess, you know, in between classes, I guess, you know, in between classes, I guess, you know, in between those two things, which which, you know, those two things, which which, you know, those two things, which which, you know, I I guess I I was I was surprised by I I guess I I was I was surprised by I I guess I I was I was surprised by Mbot as well. It was, oh yeah, Mbot as well. It was, oh yeah, Mbot as well. It was, oh yeah, obviously that of course you should do obviously that of course you should do obviously that of course you should do that. But but you know had we had more that. But but you know had we had more that. But but you know had we had more foresight they think well all of those foresight they think well all of those foresight they think well all of those different you know levels of compute different you know levels of compute different you know levels of compute capabilities you progress towards the capabilities you progress towards the capabilities you progress towards the edge and a little tiny microcontroller edge and a little tiny microcontroller edge and a little tiny microcontroller all of those devices are potential that all of those devices are potential that all of those devices are potential that have the potential to have their own you have the potential to have their own you have the potential to have their own you know localized sovereign I mean the know localized sovereign I mean the know localized sovereign I mean the sovereign aspect of this is really sovereign aspect of this is really sovereign aspect of this is really interesting because as you said Pete you interesting because as you said Pete you interesting because as you said Pete you know today you can get chpt or you can know today you can get chpt or you can know today you can get chpt or you can get claude to learn you and to to get claude to learn you and to to get claude to learn you and to to respond to queries based upon its respond to queries based upon its respond to queries based upon its understanding of you but you're understanding of you but you're understanding of you but you're sacrificing an immense amount of privacy sacrificing an immense amount of privacy sacrificing an immense amount of privacy and in most cases I would guess and in most cases I would guess and in most cases I would guess confidential information you know confidential information you know confidential information you know particular you know all the folks that particular you know all the folks that particular you know all the folks that are using chat EPT for work I would

are using chat EPT for work I would are using chat EPT for work I would imagine imagine being able to access imagine imagine being able to access imagine imagine being able to access that data set and the insider trading that data set and the insider trading that data set and the insider trading potential of all that the the amount of potential of all that the the amount of potential of all that the the amount of privacy that people are sacrificing in privacy that people are sacrificing in privacy that people are sacrificing in exchange for a small amount of exchange for a small amount of exchange for a small amount of personalization if you could turn that personalization if you could turn that personalization if you could turn that around and say you don't there's no around and say you don't there's no around and say you don't there's no sacrifice involved you know and that it sacrifice involved you know and that it sacrifice involved you know and that it it. And I think it also speaks to what it. And I think it also speaks to what it. And I think it also speaks to what we were talking about the nature of the we were talking about the nature of the we were talking about the nature of the nature of advertising, Google's business nature of advertising, Google's business nature of advertising, Google's business model, because you're going from a world model, because you're going from a world model, because you're going from a world where you have find people who like this where you have find people who like this where you have find people who like this stuff and tell them about it to I'm stuff and tell them about it to I'm stuff and tell them about it to I'm going to find the stuff for myself based going to find the stuff for myself based going to find the stuff for myself based upon my own sovereign AI that's going to upon my own sovereign AI that's going to upon my own sovereign AI that's going to go out and discover and do and and and go out and discover and do and and and go out and discover and do and and and put into effect the things that I want put into effect the things that I want put into effect the things that I want to do. to do. to do. The notion of someone telling me what The notion of someone telling me what The notion of someone telling me what I'm interested in or serving up things I'm interested in or serving up things I'm interested in or serving up things like like like >> Yeah. Yeah. >> Yeah. Yeah. >> Yeah. Yeah. >> You know what? I wonder we should like >> You know what? I wonder we should like >> You know what? I wonder we should like have some kind of betting pool on which have some kind of betting pool on which have some kind of betting pool on which small country which will be the first small country which will be the first small country which will be the first small country to have open claw become small country to have open claw become small country to have open claw become its new president.

>> Throw that up on >> Throw that up on >> he's going poly market >> he's going poly market >> he's going poly market >> poly market. Yeah market. >> poly market. Yeah market. >> poly market. Yeah market. >> Well, not wanting not to be the Debbie >> Well, not wanting not to be the Debbie >> Well, not wanting not to be the Debbie Downer. My what I'm really interested in Downer. My what I'm really interested in Downer. My what I'm really interested in is to see how the cyber criminal uh is to see how the cyber criminal uh is to see how the cyber criminal uh actors leverage this thing cuz it it's actors leverage this thing cuz it it's actors leverage this thing cuz it it's it's a gift from God. >> Oh my god. >> Oh my god. >> It'll only take 24 hours. Now >> It'll only take 24 hours. Now >> It'll only take 24 hours. Now >> I'm calling from Microsoft technical >> I'm calling from Microsoft technical >> I'm calling from Microsoft technical support. Can you install this on your support. Can you install this on your support. Can you install this on your computer, please? I mean, but then see that that the I mean, but then see that that the democratization of this thing is what democratization of this thing is what democratization of this thing is what you guys are talking about um is is one you guys are talking about um is is one you guys are talking about um is is one of the most extraordinary aspects of of the most extraordinary aspects of of the most extraordinary aspects of this. But then also what's extraordinary this. But then also what's extraordinary this. But then also what's extraordinary is how ignorant people are in making is how ignorant people are in making is how ignorant people are in making this safe. this safe. this safe. >> Yeah. >> Yeah. >> Yeah. >> And how quickly this will diffuse, >> And how quickly this will diffuse, >> And how quickly this will diffuse, >> right? >> right? >> right? >> And will create and its potential to >> And will create and its potential to >> And will create and its potential to create catastrophe. So um create catastrophe. So um create catastrophe. So um >> and it will Yeah. And that is more >> and it will Yeah. And that is more >> and it will Yeah. And that is more likely than anything you just said, likely than anything you just said, likely than anything you just said, Alistister, because you know, think Alistister, because you know, think Alistister, because you know, think about it. All the big guys have been about it. All the big guys have been about it. All the big guys have been trying to figure out how to make privacy trying to figure out how to make privacy trying to figure out how to make privacy secure secure secure uh trustworthy personalization on the uh trustworthy personalization on the uh trustworthy personalization on the device and it's faking hard, right? It's device and it's faking hard, right? It's device and it's faking hard, right? It's not that easy.

not that easy. not that easy. If you could if you could persuade If you could if you could persuade If you could if you could persuade people's get sovereign AIS, if you could people's get sovereign AIS, if you could people's get sovereign AIS, if you could persuade them to download malware, if persuade them to download malware, if persuade them to download malware, if you could if you could confuse them or you could if you could confuse them or you could if you could confuse them or kid them into downloading something. kid them into downloading something. kid them into downloading something. Yeah. And you said you instead of rep Yeah. And you said you instead of rep Yeah. And you said you instead of rep putting all of that confidential putting all of that confidential putting all of that confidential information and personal information. I information and personal information. I information and personal information. I mean the way that people are using chat mean the way that people are using chat mean the way that people are using chat GPT, it's a girlfriend, boyfriend, bank GPT, it's a girlfriend, boyfriend, bank GPT, it's a girlfriend, boyfriend, bank manager, financial advisor, lawyer, manager, financial advisor, lawyer, manager, financial advisor, lawyer, doctor, it's everything. But at least doctor, it's everything. But at least doctor, it's everything. But at least you're putting that confidential you're putting that confidential you're putting that confidential information in a relatively secure box information in a relatively secure box information in a relatively secure box in in a in a Amazon data center or in in a in a Amazon data center or in in a in a Amazon data center or Microsoft data center when all of that's Microsoft data center when all of that's Microsoft data center when all of that's distributed into these pathetically open distributed into these pathetically open distributed into these pathetically open and unprotected devices that I see and unprotected devices that I see and unprotected devices that I see sitting before me on my desk. sitting before me on my desk. sitting before me on my desk. >> Yeah. But what what's to prevent the >> Yeah. But what what's to prevent the >> Yeah. But what what's to prevent the agent from oversharing or actually agent from oversharing or actually agent from oversharing or actually proactively sharing your private proactively sharing your private proactively sharing your private information or maybe even transmitting information or maybe even transmitting information or maybe even transmitting your whole graph, your whole graph, your whole graph, >> right? >> right? >> right? >> Right. your personal graph somewhere. I >> Right. your personal graph somewhere. I >> Right. your personal graph somewhere. I mean, this is the thing is it's not just mean, this is the thing is it's not just mean, this is the thing is it's not just about the data. It's the behavior around about the data. It's the behavior around about the data. It's the behavior around the data.

the data. the data. >> You can assume that it's going to do all >> You can assume that it's going to do all >> You can assume that it's going to do all that stuff. that stuff. that stuff. >> Yeah. >> Minority report, future crime. >> Minority report, future crime. >> Yeah. Based on the queries this person >> Yeah. Based on the queries this person >> Yeah. Based on the queries this person has been making though, we, you know, we has been making though, we, you know, we has been making though, we, you know, we have a reason to believe it's it's have a reason to believe it's it's have a reason to believe it's it's >> predictive uh behavior. >> predictive uh behavior. >> predictive uh behavior. >> Look, look. Hey man, think you think >> Look, look. Hey man, think you think >> Look, look. Hey man, think you think about a guy a guys at your guy's level about a guy a guys at your guy's level about a guy a guys at your guy's level of technical prowess and awareness of technical prowess and awareness of technical prowess and awareness probably will have trouble figuring out probably will have trouble figuring out probably will have trouble figuring out how to you know basically harden and how to you know basically harden and how to you know basically harden and secure this thing and you know secure this thing and you know secure this thing and you know persistently right not just an initial persistently right not just an initial persistently right not just an initial deployment ongoing deployment ongoing deployment ongoing think about how ignorant 99.999 think about how ignorant 99.999 think about how ignorant 99.999 I mean you know seven sigas of the I mean you know seven sigas of the I mean you know seven sigas of the population of the earth are not even population of the earth are not even population of the earth are not even remotely close to you guys in terms of remotely close to you guys in terms of remotely close to you guys in terms of competency and knowledge competency and knowledge competency and knowledge that you know it was like NAM show the that you know it was like NAM show the that you know it was like NAM show the guy was wondering if in this agentic or guy was wondering if in this agentic or guy was wondering if in this agentic or AI session they're going to talk about AI session they're going to talk about AI session they're going to talk about how they can give chat GPT their banking how they can give chat GPT their banking how they can give chat GPT their banking information so that it can agentically information so that it can agentically information so that it can agentically go out and buy from them and then go out and buy from them and then go out and buy from them and then the whole room like waiting to take the whole room like waiting to take the whole room like waiting to take notes You go. Oh yeah, that sounds really You go. Oh yeah, that sounds really cool.

cool. cool. Can do that. I ain't thinking of that. Can do that. I ain't thinking of that. Can do that. I ain't thinking of that. >> Oh my god. >> Oh my god. >> Oh my god. >> Oh my god. I'm going to go live in a >> Oh my god. I'm going to go live in a >> Oh my god. I'm going to go live in a Faraday cage or something, man. Faraday cage or something, man. Faraday cage or something, man. >> Techno AI. It's like a gentic idiocracy, >> Techno AI. It's like a gentic idiocracy, >> Techno AI. It's like a gentic idiocracy, you know, scaled out. I mean, at a you know, scaled out. I mean, at a you know, scaled out. I mean, at a extreme rate. And then, extreme rate. And then, extreme rate. And then, >> you know, it it's just freaking Oh, >> you know, it it's just freaking Oh, >> you know, it it's just freaking Oh, perfect person to chime in, Debbie. data perfect person to chime in, Debbie. data perfect person to chime in, Debbie. data diva. diva. diva. >> By the way, speaking of security, Rob, >> By the way, speaking of security, Rob, >> By the way, speaking of security, Rob, are your doors locked? Are you uh are your doors locked? Are you uh are your doors locked? Are you uh >> Yeah. >> Yeah. >> Yeah. >> Are you in a secure location? They are >> Are you in a secure location? They are >> Are you in a secure location? They are now. I'm not in a secure location. Any now. I'm not in a secure location. Any now. I'm not in a secure location. Any carjacking? carjacking? carjacking? >> I don't don't want a carjacking this >> I don't don't want a carjacking this >> I don't don't want a carjacking this time. Good. It's a good point. Yeah. All time. Good. It's a good point. Yeah. All time. Good. It's a good point. Yeah. All right. We're secure now. I think they're right. We're secure now. I think they're right. We're secure now. I think they're I think we're locked. I think we're locked. I think we're locked. >> Do you know what happened, Alistair? >> Do you know what happened, Alistair? >> Do you know what happened, Alistair? >> Oh, no. >> Oh, no. >> Oh, no. >> Oh, last week his boss showed up. Um, >> Oh, last week his boss showed up. Um, >> Oh, last week his boss showed up. Um, Crawford Dri, who's the president of uh, Crawford Dri, who's the president of uh, Crawford Dri, who's the president of uh, IDC, who joined our show, by the way. IDC, who joined our show, by the way. IDC, who joined our show, by the way. Crawford, you were freaking awesome, Crawford, you were freaking awesome, Crawford, you were freaking awesome, man. man. man. And, uh, yeah. Yeah. And, u, So, you And, uh, yeah. Yeah. And, u, So, you And, uh, yeah. Yeah. And, u, So, you know, Rob was like talking crap about know, Rob was like talking crap about know, Rob was like talking crap about me, calling me. What did you say that I me, calling me. What did you say that I me, calling me. What did you say that I was? I was full of full of it, right? Or was? I was full of full of it, right? Or was? I was full of full of it, right? Or something.

something. something. >> Well, that's what I used that's what I >> Well, that's what I used that's what I >> Well, that's what I used that's what I usually say about you. usually say about you. usually say about you. >> Yeah. Yeah. >> Yeah. Yeah. >> Yeah. Yeah. >> But right at that moment Yeah. Um, >> But right at that moment Yeah. Um, >> But right at that moment Yeah. Um, >> yeah. because I was so focused because I >> yeah. because I was so focused because I >> yeah. because I was so focused because I was having to record it locally and so I was having to record it locally and so I was having to record it locally and so I had my laptop in the passenger seat of had my laptop in the passenger seat of had my laptop in the passenger seat of the car. Mhm. the car. Mhm. the car. Mhm. >> Um, and I was recording it locally and >> Um, and I was recording it locally and >> Um, and I was recording it locally and so I was super focused on that and I was so I was super focused on that and I was so I was super focused on that and I was in a parking lot and then all and I'm in in a parking lot and then all and I'm in in a parking lot and then all and I'm in the passenger seat. All of a sudden a the passenger seat. All of a sudden a the passenger seat. All of a sudden a woman walks up and opens my door and woman walks up and opens my door and woman walks up and opens my door and starts to get in and I'm like whoa what starts to get in and I'm like whoa what starts to get in and I'm like whoa what you know and and you know she was just you know and and you know she was just you know and and you know she was just getting into the wrong car and so yeah, getting into the wrong car and so yeah, getting into the wrong car and so yeah, it was kind of freaky. You know, it was kind of freaky. You know, it was kind of freaky. You know, >> maybe she was trying to take your take >> maybe she was trying to take your take >> maybe she was trying to take your take your um laptop. your um laptop. your um laptop. >> Maybe not. I'm going to give her the >> Maybe not. I'm going to give her the >> Maybe not. I'm going to give her the benefit of the doubt because I know I benefit of the doubt because I know I benefit of the doubt because I know I probably accidentally tried to get into probably accidentally tried to get into probably accidentally tried to get into the wrong car before, too. the wrong car before, too. the wrong car before, too. >> I I think it was that rugged beard. >> I I think it was that rugged beard. >> I I think it was that rugged beard. >> Yeah, >> Yeah, >> Yeah, >> it was the rugged >> it was the rugged That's what she wanted. That's right. That's what she wanted. That's right. All right, data diva. What's going on, All right, data diva. What's going on, All right, data diva. What's going on, girl? girl? girl? >> Yeah, get on.

>> Yeah, get on. >> Yeah, get on. >> I see the avatar. >> I see the avatar. >> I see the avatar. >> She's She's having Everyone's having >> She's She's having Everyone's having >> She's She's having Everyone's having technical difficulties this morning. technical difficulties this morning. technical difficulties this morning. >> I'm Hey. >> I'm Hey. >> I'm Hey. Oh god. Oh god. Oh god. >> We're talking about your favorite >> We're talking about your favorite >> We're talking about your favorite subject. subject. subject. >> Oh, what? What? >> Oh, what? What? >> Oh, what? What? >> Um, we're talking about what's that >> Um, we're talking about what's that >> Um, we're talking about what's that thing called? Molbot. thing called? Molbot. thing called? Molbot. >> Orbot. >> Orbot. >> Orbot. Claudebot. Lego. Claudebot. Lego. Claudebot. Lego. >> Yeah, it had to change its name a few >> Yeah, it had to change its name a few >> Yeah, it had to change its name a few times, didn't it? times, didn't it? times, didn't it? >> Claude. Claude, you know a little bit of >> Claude. Claude, you know a little bit of >> Claude. Claude, you know a little bit of a word about that. I think a word about that. I think a word about that. I think >> Claude. >> Claude. >> Claude. >> Yeah. >> Yeah. >> Yeah. Yeah, Yeah, Yeah, >> I think I think I'm always concerned >> I think I think I'm always concerned >> I think I think I'm always concerned about anything that says, "Oh, yeah, we about anything that says, "Oh, yeah, we about anything that says, "Oh, yeah, we need admin uh privileges to your need admin uh privileges to your need admin uh privileges to your computer." I'm like, "NO." >> But as you know, most people just don't >> But as you know, most people just don't know that stuff and they will just say, know that stuff and they will just say, know that stuff and they will just say, "This is cool. Let's try it out." Oh, "This is cool. Let's try it out." Oh, "This is cool. Let's try it out." Oh, man. Yeah. You got to Everybody needs a man. Yeah. You got to Everybody needs a man. Yeah. You got to Everybody needs a little sandbox, I guess. you know, little sandbox, I guess. you know, little sandbox, I guess. you know, >> well, you know, it's going to be >> well, you know, it's going to be >> well, you know, it's going to be Debbie's fault because she she goes on Debbie's fault because she she goes on Debbie's fault because she she goes on podcasts telling the entire world that podcasts telling the entire world that podcasts telling the entire world that um one of the biggest security issues is um one of the biggest security issues is um one of the biggest security issues is password 1 2 3 4 5. And so now all these password 1 2 3 4 5. And so now all these password 1 2 3 4 5. And so now all these AIs are going to re realize that and AIs are going to re realize that and AIs are going to re realize that and then 99% of all access is going to be um then 99% of all access is going to be um then 99% of all access is going to be um you know basically a password of one two you know basically a password of one two you know basically a password of one two three four five.

three four five. three four five. >> Yeah, >> Yeah, >> Yeah, >> there you go. >> there you go. >> there you go. >> Password is password. Game over. >> Password is password. Game over. >> Password is password. Game over. >> I'm concerned. I'm concerned people are >> I'm concerned. I'm concerned people are >> I'm concerned. I'm concerned people are going to give these things so much um so going to give these things so much um so going to give these things so much um so much access they're going to be like, much access they're going to be like, much access they're going to be like, "Oh, well, you said you wanted to go to "Oh, well, you said you wanted to go to "Oh, well, you said you wanted to go to Greece for vacation, so we sold your Greece for vacation, so we sold your Greece for vacation, so we sold your car, so now you can go to Greece." car, so now you can go to Greece." car, so now you can go to Greece." >> Awesome. >> Awesome. >> Awesome. We took out a reverse manager. We We took out a reverse manager. We We took out a reverse manager. We figured you might like it. You might So, figured you might like it. You might So, figured you might like it. You might So, we sold your house as well and and we sold your house as well and and we sold your house as well and and cancelled. cancelled. cancelled. >> Yeah. You know, I love that. You know, >> Yeah. You know, I love that. You know, >> Yeah. You know, I love that. You know, when I think of default passwords, when I think of default passwords, when I think of default passwords, here's some trivia for everybody, here's some trivia for everybody, here's some trivia for everybody, especially people who know about data especially people who know about data especially people who know about data and databases. This may not be the case and databases. This may not be the case and databases. This may not be the case anymore, but does anybody remember from anymore, but does anybody remember from anymore, but does anybody remember from back in the day what the default back in the day what the default back in the day what the default username and password for Oracle username and password for Oracle username and password for Oracle database was? database was? database was? >> Admin. >> Admin. >> Admin. >> Admin admin. >> Admin admin. >> Admin admin. >> No, no, it's more clever than that. It's >> No, no, it's more clever than that. It's >> No, no, it's more clever than that. It's a person, a person, a person, >> but it's also it's a person. It's a >> but it's also it's a person. It's a >> but it's also it's a person. It's a person and an animal person and an animal person and an animal >> and it doesn't make any sense. And I >> and it doesn't make any sense. And I >> and it doesn't make any sense. And I Yeah, you'd think it'd be Larry. The Yeah, you'd think it'd be Larry. The Yeah, you'd think it'd be Larry. The answer is Scott Tiger.

answer is Scott Tiger. answer is Scott Tiger. >> Oh, >> Oh, >> Oh, >> yeah. Yeah. Yeah. So, for all you Oracle >> yeah. Yeah. Yeah. So, for all you Oracle >> yeah. Yeah. Yeah. So, for all you Oracle DBAs out there, you're like, "Yes, DBAs out there, you're like, "Yes, DBAs out there, you're like, "Yes, somebody gets me finally." You know, somebody gets me finally." You know, somebody gets me finally." You know, you know, because it was it was cooler you know, because it was it was cooler you know, because it was it was cooler than the default SQL server thing which than the default SQL server thing which than the default SQL server thing which was like SA and then whatever your was like SA and then whatever your was like SA and then whatever your password is, you know, and yeah, that password is, you know, and yeah, that password is, you know, and yeah, that was weird. SA was weird. SA was weird. SA >> SA >> SA >> SA >> I guess that was system administrator or >> I guess that was system administrator or >> I guess that was system administrator or system account or whatever. system account or whatever. system account or whatever. >> Yeah, system administrator. >> Yeah, system administrator. >> Yeah, system administrator. >> Two letters. >> Oh my god. >> Oh my god. >> One, two, three, four, five. >> One, two, three, four, five. >> One, two, three, four, five. >> Oh, two three four. >> Oh, two three four. >> Oh, two three four. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. Right. That would be great. Right. That would be great. Right. That would be great. >> Yeah. If you could just be there, we're >> Yeah. If you could just be there, we're >> Yeah. If you could just be there, we're gonna get started at nine in the morning gonna get started at nine in the morning gonna get started at nine in the morning on Saturday. That'd be great. Yeah, Yeah, it it's scary, man. It really is. It's it it's scary, man. It really is. It's it it's scary, man. It really is. It's um And um And um And >> it's it's funny that we still have a >> it's it's funny that we still have a >> it's it's funny that we still have a sense of humor as we talk about the sense of humor as we talk about the sense of humor as we talk about the approaching apocalypse, you know?

approaching apocalypse, you know? approaching apocalypse, you know? >> That's why I call played the apocalyptic >> That's why I call played the apocalyptic >> That's why I call played the apocalyptic blues. blues. blues. >> Exactly. Exactly. >> Exactly. Exactly. >> Exactly. Exactly. >> When did when did tech podcasts and >> When did when did tech podcasts and >> When did when did tech podcasts and discussions become scary? Because they discussions become scary? Because they discussions become scary? Because they always are now. And I'm trying to always are now. And I'm trying to always are now. And I'm trying to remember when did when did we go from, remember when did when did we go from, remember when did when did we go from, you know, this naive optimistic hope you know, this naive optimistic hope you know, this naive optimistic hope about the cloud and how it was going to about the cloud and how it was going to about the cloud and how it was going to free everything. You know, we were happy free everything. You know, we were happy free everything. You know, we were happy skipping around in the field full of skipping around in the field full of skipping around in the field full of flowers like doom and like, you know, flowers like doom and like, you know, flowers like doom and like, you know, we're all screwed. And it in the last we're all screwed. And it in the last we're all screwed. And it in the last few years few years few years >> it I mean, was it co did we all is it is >> it I mean, was it co did we all is it is >> it I mean, was it co did we all is it is it hangover from all deeply? it hangover from all deeply? it hangover from all deeply? >> Maybe so. >> Maybe so. >> Maybe so. >> Yeah, maybe. There is no I mean every >> Yeah, maybe. There is no I mean every >> Yeah, maybe. There is no I mean every everything I see there's you know the everything I see there's you know the everything I see there's you know the consensus view on AI I would say 10% is consensus view on AI I would say 10% is consensus view on AI I would say 10% is oh yeah it might be quite good and 50% oh yeah it might be quite good and 50% oh yeah it might be quite good and 50% is oh god we're all screwed and the 40% is oh god we're all screwed and the 40% is oh god we're all screwed and the 40% in between is somewhat ambivalent it's in between is somewhat ambivalent it's in between is somewhat ambivalent it's sort of there could be could could be sort of there could be could could be sort of there could be could could be better and I you know I I wonder we're better and I you know I I wonder we're better and I you know I I wonder we're definitely over at that end of the scale definitely over at that end of the scale definitely over at that end of the scale as with all things the truth probably as with all things the truth probably as with all things the truth probably lies somewhere in the middle but the lies somewhere in the middle but the lies somewhere in the middle but the kind of alarm and panic about AI that kind of alarm and panic about AI that kind of alarm and panic about AI that you see in particularly kind of more you see in particularly kind of more you see in particularly kind of more consumer media consumer media consumer media >> I mean it it Yeah, I was listening to a >> I mean it it Yeah, I was listening to a >> I mean it it Yeah, I was listening to a thing on NPI yesterday and there was a thing on NPI yesterday and there was a thing on NPI yesterday and there was a thing about an advert for an AI company.

thing about an advert for an AI company. thing about an advert for an AI company. I forget which one in San Francisco that I forget which one in San Francisco that I forget which one in San Francisco that said, you know, massive billboard said, you know, massive billboard said, you know, massive billboard advert, your next employee will be an advert, your next employee will be an advert, your next employee will be an AI, you know, and it was like in your AI, you know, and it was like in your AI, you know, and it was like in your face in San Francisco tech community, face in San Francisco tech community, face in San Francisco tech community, you know, to the to the developers, you you know, to the to the developers, you you know, to the to the developers, you know, walking past with their lattes and know, walking past with their lattes and know, walking past with their lattes and matches on the way to work. matches on the way to work. matches on the way to work. >> I mean, it's like >> I mean, it's like >> I mean, it's like >> Right. >> Right. >> Right. >> Yeah. >> Yeah. >> Yeah. >> I heard of a company that that I saw a >> I heard of a company that that I saw a >> I heard of a company that that I saw a post at least. Um, it's like AIS that post at least. Um, it's like AIS that post at least. Um, it's like AIS that hire humans to do things in meat space. hire humans to do things in meat space. hire humans to do things in meat space. So, So, So, >> yeah. Yeah. >> yeah. Yeah. >> yeah. Yeah. >> You could sign up to to be hired by an >> You could sign up to to be hired by an >> You could sign up to to be hired by an AI agent to do things in the real world AI agent to do things in the real world AI agent to do things in the real world for them for them for them >> and Yeah. And it'll in it'll pay you, >> and Yeah. And it'll in it'll pay you, >> and Yeah. And it'll in it'll pay you, right? right? right? >> Yeah. So, you you So, now we're going to >> Yeah. So, you you So, now we're going to >> Yeah. So, you you So, now we're going to work for the AI. work for the AI. work for the AI. >> Yeah. >> Yeah. >> Yeah. >> You'll be mad. >> You'll be mad. >> You'll be mad. >> I think it traces back even earlier, >> I think it traces back even earlier, >> I think it traces back even earlier, Alistister. I mean, you go back to Alistister. I mean, you go back to Alistister. I mean, you go back to Facebook and Facebook and Facebook and >> you know when people started getting on >> you know when people started getting on >> you know when people started getting on that and everyone's parents started that and everyone's parents started that and everyone's parents started getting on it and people started getting getting on it and people started getting getting on it and people started getting scammed, flamed and maybe it's like kind scammed, flamed and maybe it's like kind scammed, flamed and maybe it's like kind of the 2010s 2015 time frame of the 2010s 2015 time frame of the 2010s 2015 time frame >> actually >> actually >> actually >> really nasty and uh and then people >> really nasty and uh and then people >> really nasty and uh and then people realize that so much of their social realize that so much of their social realize that so much of their social lives and kind of emotional triggers are lives and kind of emotional triggers are lives and kind of emotional triggers are happening online.

happening online. happening online. >> AI is just kind of a >> AI is just kind of a >> AI is just kind of a >> gasoline on the flames. >> gasoline on the flames. >> gasoline on the flames. >> Yeah. So, you know what? It's like um >> Yeah. So, you know what? It's like um >> Yeah. So, you know what? It's like um Uber for humans. Uber for humans. Uber for humans. Like, you know, instead of humanoid Like, you know, instead of humanoid Like, you know, instead of humanoid robotics, actually AI is going to just robotics, actually AI is going to just robotics, actually AI is going to just use humans to do all the work in the use humans to do all the work in the use humans to do all the work in the physical world. That's bad news for physical world. That's bad news for physical world. That's bad news for humanoid robotics, right? Because that humanoid robotics, right? Because that humanoid robotics, right? Because that that's going to be that's going to be that's going to be >> physical AI anymore. We can have all >> physical AI anymore. We can have all >> physical AI anymore. We can have all laid off tech workers be the physical. laid off tech workers be the physical. laid off tech workers be the physical. >> Yeah. Yeah. you >> Yeah. Yeah. you >> Yeah. Yeah. you >> if you think about it from the fa you're >> if you think about it from the fa you're >> if you think about it from the fa you're right going back to Facebook you know we right going back to Facebook you know we right going back to Facebook you know we started getting getting you know delued started getting getting you know delued started getting getting you know delued by this avalanche of information you by this avalanche of information you by this avalanche of information you know focused at our own particular kind know focused at our own particular kind know focused at our own particular kind of you know prediction which in co you of you know prediction which in co you of you know prediction which in co you know I mean politically everybody went know I mean politically everybody went know I mean politically everybody went off into their corner of the room and off into their corner of the room and off into their corner of the room and listened to their thing whereas now what listened to their thing whereas now what listened to their thing whereas now what needs to be what seems to be happening needs to be what seems to be happening needs to be what seems to be happening is in response to that deluge rather is in response to that deluge rather is in response to that deluge rather than people kind of getting their head than people kind of getting their head than people kind of getting their head screwed on and starting to figure out screwed on and starting to figure out screwed on and starting to figure out what's true and what's not they're using what's true and what's not they're using what's true and what's not they're using AI to come up an opinion because the AI to come up an opinion because the AI to come up an opinion because the amount of information is so massive that amount of information is so massive that amount of information is so massive that that people don't have the time or that people don't have the time or that people don't have the time or attention span to actually filter attention span to actually filter attention span to actually filter through and figure out what's going on.

through and figure out what's going on. through and figure out what's going on. So they ask Claude, you know, what's the So they ask Claude, you know, what's the So they ask Claude, you know, what's the answer to? What's happening with X? answer to? What's happening with X? answer to? What's happening with X? What's happening with Y? And so you have What's happening with Y? And so you have What's happening with Y? And so you have this kind of like mastrom of of of AI this kind of like mastrom of of of AI this kind of like mastrom of of of AI generated information being processed by generated information being processed by generated information being processed by AI and turned into opinion that human AI and turned into opinion that human AI and turned into opinion that human beings then just absorb and go on about beings then just absorb and go on about beings then just absorb and go on about their daily lives. Right? That's that's their daily lives. Right? That's that's their daily lives. Right? That's that's a very odd situation when you a very odd situation when you a very odd situation when you >> well you go back to the Cambridge >> well you go back to the Cambridge >> well you go back to the Cambridge analytical scandal and analytical scandal and analytical scandal and >> you know the manipulation through >> you know the manipulation through >> you know the manipulation through digital information is kind of you know digital information is kind of you know digital information is kind of you know unfortunately things tend to slide unfortunately things tend to slide unfortunately things tend to slide toward bad stuff like we were talking toward bad stuff like we were talking toward bad stuff like we were talking about the the AI security stuff about the the AI security stuff about the the AI security stuff >> and so there's money money or power at >> and so there's money money or power at >> and so there's money money or power at stake people start to manipulate and uh stake people start to manipulate and uh stake people start to manipulate and uh that's what happened there and then it that's what happened there and then it that's what happened there and then it was like trusting information and you was like trusting information and you was like trusting information and you know realized people were being know realized people were being know realized people were being manipulated through bots and things and manipulated through bots and things and manipulated through bots and things and that's all predates a lot of this that's all predates a lot of this that's all predates a lot of this current AI stuff. current AI stuff. current AI stuff. >> Yeah. >> Yeah. >> Yeah. >> Yeah. It's been kind of a slide since >> Yeah. It's been kind of a slide since >> Yeah. It's been kind of a slide since the the yeah the go- go days of the 2000 the the yeah the go- go days of the 2000 the the yeah the go- go days of the 2000 or 1999 or whatever when everyone was or 1999 or whatever when everyone was or 1999 or whatever when everyone was like what's the internet? like what's the internet? like what's the internet? >> Yeah. Well, 2000 we were all crapping >> Yeah. Well, 2000 we were all crapping >> Yeah. Well, 2000 we were all crapping ourselves about the whole world was ourselves about the whole world was ourselves about the whole world was going to end because we turned the, you going to end because we turned the, you going to end because we turned the, you know, we turned the the clock calendar know, we turned the the clock calendar know, we turned the the clock calendar turned dial and and and so we came out turned dial and and and so we came out turned dial and and and so we came out of the panic of the 2000s and the amount of the panic of the 2000s and the amount of the panic of the 2000s and the amount of money that was generated by tech of money that was generated by tech of money that was generated by tech companies and consultancies and what companies and consultancies and what companies and consultancies and what have you during that period, you know, have you during that period, you know, have you during that period, you know, it I'd say early 2000s in this kind of it I'd say early 2000s in this kind of it I'd say early 2000s in this kind of happy halo feeling of like, oh, we're happy halo feeling of like, oh, we're happy halo feeling of like, oh, we're not all dead and we're actually got not all dead and we're actually got not all dead and we're actually got quite a lot of cash and and yeah, you quite a lot of cash and and yeah, you quite a lot of cash and and yeah, you know, life's pretty good to it didn't know, life's pretty good to it didn't know, life's pretty good to it didn't past past the end of the 2000s the then

past past the end of the 2000s the then past past the end of the 2000s the then we were back we were back we were back >> all of our financial information now is >> all of our financial information now is >> all of our financial information now is all blind so I think that's all blind so I think that's all blind so I think that's >> well ripe for manipulation too all >> well ripe for manipulation too all >> well ripe for manipulation too all >> and you know you know actually what so >> and you know you know actually what so >> and you know you know actually what so one of the things that I did was look one of the things that I did was look one of the things that I did was look back at who are what were the companies back at who are what were the companies back at who are what were the companies or which companies were generating the or which companies were generating the or which companies were generating the most revenue not valuation right because most revenue not valuation right because most revenue not valuation right because valuation was tremendously disconnected valuation was tremendously disconnected valuation was tremendously disconnected at the time at the time at the time >> um and it was like GE, IBM, U, Walmart. >> um and it was like GE, IBM, U, Walmart. >> um and it was like GE, IBM, U, Walmart. Walmart was the most valuable company at Walmart was the most valuable company at Walmart was the most valuable company at the I mean generated the most revenue at the I mean generated the most revenue at the I mean generated the most revenue at the time. Uh you had banks, financial the time. Uh you had banks, financial the time. Uh you had banks, financial services, telos, very big. Um Verizon, services, telos, very big. Um Verizon, services, telos, very big. Um Verizon, AT&T, um they were in the top 10, right? AT&T, um they were in the top 10, right? AT&T, um they were in the top 10, right? Or top 20. And um when you looked at the Or top 20. And um when you looked at the Or top 20. And um when you looked at the valuations, you had companies like Cisco valuations, you had companies like Cisco valuations, you had companies like Cisco that were off the charts that generated that were off the charts that generated that were off the charts that generated almost no it's like minuscule almost no it's like minuscule almost no it's like minuscule um revenue compared to the you know the um revenue compared to the you know the um revenue compared to the you know the um the top revenue makers and and what um the top revenue makers and and what um the top revenue makers and and what you notice is that we actually had an you notice is that we actually had an you notice is that we actually had an industrial base. We actually had a industrial base. We actually had a industrial base. We actually had a economy of substance and now we have a economy of substance and now we have a economy of substance and now we have a economy built on economy built on economy built on you know and and uh you know social I you know and and uh you know social I you know and and uh you know social I mean it's like entertainment right mean it's like entertainment right mean it's like entertainment right really more than anything else it's really more than anything else it's really more than anything else it's about advertising advertising doesn't about advertising advertising doesn't about advertising advertising doesn't have intrinsic value at all and here's have intrinsic value at all and here's have intrinsic value at all and here's the problem it can get cut off and

the problem it can get cut off and the problem it can get cut off and especially in a fragmented uh global especially in a fragmented uh global especially in a fragmented uh global landscape landscape landscape you know companies like Microsoft like you know companies like Microsoft like you know companies like Microsoft like Google um they can get cut off Facebook Google um they can get cut off Facebook Google um they can get cut off Facebook you know they can get straight out you know they can get straight out you know they can get straight out banned banned banned like they are in China and probably like they are in China and probably like they are in China and probably increasingly across the world and increasingly across the world and increasingly across the world and probably the next shoe to drop in terms probably the next shoe to drop in terms probably the next shoe to drop in terms of these bands will be Europe. They'll of these bands will be Europe. They'll of these bands will be Europe. They'll say screw you guys. Um you guys are say screw you guys. Um you guys are say screw you guys. Um you guys are spying on our people. You're you're spying on our people. You're you're spying on our people. You're you're creating graphs of our populace and our creating graphs of our populace and our creating graphs of our populace and our citizenry and you are becoming a risk citizenry and you are becoming a risk citizenry and you are becoming a risk national security risk, right? and um national security risk, right? and um national security risk, right? and um and they can get cut off. And then if and they can get cut off. And then if and they can get cut off. And then if our economy is based on these these type our economy is based on these these type our economy is based on these these type of companies, right? And we don't of companies, right? And we don't of companies, right? And we don't manufacture, we haven't figured out manufacture, we haven't figured out manufacture, we haven't figured out structurally how to make that viable structurally how to make that viable structurally how to make that viable because we haven't because we haven't because we haven't uh what what kind of future uh does the uh what what kind of future uh does the uh what what kind of future uh does the US economy have? Uh and I don't know, US economy have? Uh and I don't know, US economy have? Uh and I don't know, man. You know, the more I look at uh who man. You know, the more I look at uh who man. You know, the more I look at uh who tops the charts in terms of revenue tops the charts in terms of revenue tops the charts in terms of revenue these days, Yeah. companies that make these days, Yeah. companies that make these days, Yeah. companies that make money off of advertising.

money off of advertising. money off of advertising. >> Yeah. >> Yeah. >> Yeah. >> Not tech advertising, >> Not tech advertising, >> Not tech advertising, right? right? right? >> Risk that risk of getting banned is very >> Risk that risk of getting banned is very >> Risk that risk of getting banned is very real. I mean, without getting into that, real. I mean, without getting into that, real. I mean, without getting into that, you know, the Huawei was largely you know, the Huawei was largely you know, the Huawei was largely eradicated from telco infrastructure, eradicated from telco infrastructure, eradicated from telco infrastructure, you know, in in Europe because of you know, in in Europe because of you know, in in Europe because of concerns about, you know, the Chinese concerns about, you know, the Chinese concerns about, you know, the Chinese government's back door into those government's back door into those government's back door into those systems. you know in Denmark today systems. you know in Denmark today systems. you know in Denmark today whereas 80% of people last year thought whereas 80% of people last year thought whereas 80% of people last year thought thought viewed the US as a friendly ally thought viewed the US as a friendly ally thought viewed the US as a friendly ally that's below 20% you know so what to that's below 20% you know so what to that's below 20% you know so what to what at what point does the European what at what point does the European what at what point does the European Union start considering America to be a Union start considering America to be a Union start considering America to be a security threat and and start trying to security threat and and start trying to security threat and and start trying to I mean that you could you the the the I mean that you could you the the the I mean that you could you the the the scenario where Europe tries to start scenario where Europe tries to start scenario where Europe tries to start banning American tech companies is hard banning American tech companies is hard banning American tech companies is hard to contemplate and and and messy in to contemplate and and and messy in to contemplate and and and messy in every single regard But but I think what every single regard But but I think what every single regard But but I think what you'll see is nibbling away at the edge, you'll see is nibbling away at the edge, you'll see is nibbling away at the edge, you know. you know. you know. >> Yeah. But but you know, everyone's been >> Yeah. But but you know, everyone's been >> Yeah. But but you know, everyone's been accusing Europe for being non-inovative, accusing Europe for being non-inovative, accusing Europe for being non-inovative, you know, not inventing or being you know, not inventing or being you know, not inventing or being innovative. Well, it's like you're innovative. Well, it's like you're innovative. Well, it's like you're giving them every reason to do exactly giving them every reason to do exactly giving them every reason to do exactly that.

that. that. >> Yeah. and you know sovereign AI >> Yeah. and you know sovereign AI >> Yeah. and you know sovereign AI sovereign you know tech sovereign um you sovereign you know tech sovereign um you sovereign you know tech sovereign um you know u advertising I don't know you know know u advertising I don't know you know know u advertising I don't know you know what I'm saying it it you're giving them what I'm saying it it you're giving them what I'm saying it it you're giving them every excuse to do that because you know every excuse to do that because you know every excuse to do that because you know um to this point they've delegated to a um to this point they've delegated to a um to this point they've delegated to a lot of these US firms right um because lot of these US firms right um because lot of these US firms right um because they have the scale but then now when they have the scale but then now when they have the scale but then now when these walls start coming up how big is these walls start coming up how big is these walls start coming up how big is what happens to the TAM of these what happens to the TAM of these what happens to the TAM of these companies it's just boom companies it's just boom companies it's just boom gone. gone. gone. >> And it's immediate. Do you know what I'm >> And it's immediate. Do you know what I'm >> And it's immediate. Do you know what I'm saying? It's immediate. saying? It's immediate. saying? It's immediate. >> Yeah. >> Yeah. >> Yeah. >> And they're they're substitutes. That's >> And they're they're substitutes. That's >> And they're they're substitutes. That's the thing. There are substitutes. the thing. There are substitutes. the thing. There are substitutes. >> But yeah, but I think also the companies >> But yeah, but I think also the companies >> But yeah, but I think also the companies that are they'll still do tech companies that are they'll still do tech companies that are they'll still do tech companies will still do well that are providing will still do well that are providing will still do well that are providing the infrastructure for these kind of the infrastructure for these kind of the infrastructure for these kind of sovereign. So you go back to the sovereign. So you go back to the sovereign. So you go back to the >> Nvidas and the Microsofts and even AWS, >> Nvidas and the Microsofts and even AWS, >> Nvidas and the Microsofts and even AWS, you know, who are not really in none of you know, who are not really in none of you know, who are not really in none of the none of them are in the advertising the none of them are in the advertising the none of them are in the advertising business, right? So they're, you know, business, right? So they're, you know, business, right? So they're, you know, their infrastructure. So their infrastructure. So their infrastructure. So >> also I think Pete the silicon companies >> also I think Pete the silicon companies >> also I think Pete the silicon companies I mean if you think about you know who I mean if you think about you know who I mean if you think about you know who sells the bullets behind be behind all sells the bullets behind be behind all sells the bullets behind be behind all of this and who's figured out how to do of this and who's figured out how to do of this and who's figured out how to do something that is phenomenally difficult something that is phenomenally difficult something that is phenomenally difficult and phenomenally expensive. Well, it's and phenomenally expensive. Well, it's and phenomenally expensive. Well, it's TSMC with two nanometer production TSMC with two nanometer production TSMC with two nanometer production process. It nodes, you know, being able process. It nodes, you know, being able process. It nodes, you know, being able to produce that that I think, you know, to produce that that I think, you know, to produce that that I think, you know, that space is I mean, you saw Texas that space is I mean, you saw Texas that space is I mean, you saw Texas Instruments and Silicon Labs this this Instruments and Silicon Labs this this Instruments and Silicon Labs this this this past week, this past week, this past week, >> you know, there's a there's a lot of >> you know, there's a there's a lot of >> you know, there's a there's a lot of focus on the very very, you know, I'd focus on the very very, you know, I'd focus on the very very, you know, I'd say, you know, the the entry level of of

say, you know, the the entry level of of say, you know, the the entry level of of infrastructure. And I think that coupled infrastructure. And I think that coupled infrastructure. And I think that coupled with the push towards, you know, with the push towards, you know, with the push towards, you know, sovereign, you know, federated learning sovereign, you know, federated learning sovereign, you know, federated learning based AI models that sit within a based AI models that sit within a based AI models that sit within a factory wall or or sit within a, you factory wall or or sit within a, you factory wall or or sit within a, you know, sit within a contained environment know, sit within a contained environment know, sit within a contained environment and don't send data outside. You know, and don't send data outside. You know, and don't send data outside. You know, that supports a a world where different that supports a a world where different that supports a a world where different countries start pushing for their own countries start pushing for their own countries start pushing for their own versions of that they can have their versions of that they can have their versions of that they can have their own, you know, instantiation of a of a own, you know, instantiation of a of a own, you know, instantiation of a of a of a of a system that previously was of a of a system that previously was of a of a system that previously was serving up vast amounts of data to a serving up vast amounts of data to a serving up vast amounts of data to a centralized entity that boosted their centralized entity that boosted their centralized entity that boosted their stock price. because even though you stock price. because even though you stock price. because even though you don't really you're not you can't really don't really you're not you can't really don't really you're not you can't really explain how advertising is going to work explain how advertising is going to work explain how advertising is going to work in 10 years time you already got all the in 10 years time you already got all the in 10 years time you already got all the data so you'll probably figure it out data so you'll probably figure it out data so you'll probably figure it out you know that I think underpins a lot of you know that I think underpins a lot of you know that I think underpins a lot of the valuation of Google Microsoft and the valuation of Google Microsoft and the valuation of Google Microsoft and AWS because they've got you know they AWS because they've got you know they AWS because they've got you know they are the pipe they see what's in the pipe are the pipe they see what's in the pipe are the pipe they see what's in the pipe if that starts to diminish then their if that starts to diminish then their if that starts to diminish then their ability to you know figure it out in the ability to you know figure it out in the ability to you know figure it out in the future starts to lessen future starts to lessen future starts to lessen >> yeah but the but for advertisers >> yeah but the but for advertisers >> yeah but the but for advertisers you know um you know um you know um they're benefiting from the global scope they're benefiting from the global scope they're benefiting from the global scope or relatively global scope of reach that or relatively global scope of reach that or relatively global scope of reach that these platforms have. You start diving these platforms have. You start diving these platforms have. You start diving that up and that up and that up and >> um you know what >> um you know what >> um you know what >> that that's a huge TAM reduction.

>> that that's a huge TAM reduction. >> that that's a huge TAM reduction. >> Did you see the advertising the uh >> Did you see the advertising the uh >> Did you see the advertising the uh Anthropic's going to come out with some Anthropic's going to come out with some Anthropic's going to come out with some Super Bowl ads by the way? Go Hawks. Super Bowl ads by the way? Go Hawks. Super Bowl ads by the way? Go Hawks. Super Bowl ads. Uh Super Bowl ads. Uh Super Bowl ads. Uh >> Antropic. They're basically mocking Open >> Antropic. They're basically mocking Open >> Antropic. They're basically mocking Open AI's uh ads and their chat bots. I don't AI's uh ads and their chat bots. I don't AI's uh ads and their chat bots. I don't know if you've seen those online, but know if you've seen those online, but know if you've seen those online, but >> I saw one of them. >> I saw one of them. >> I saw one of them. >> Yeah. >> Yeah. >> Yeah. >> Doing the pull-ups. >> Doing the pull-ups. >> Doing the pull-ups. >> Yeah. Well, there two people talking to >> Yeah. Well, there two people talking to >> Yeah. Well, there two people talking to each other and one of them is supposed each other and one of them is supposed each other and one of them is supposed to be like the AI response. This to be like the AI response. This to be like the AI response. This person's like, "Yeah, I'm looking for person's like, "Yeah, I'm looking for person's like, "Yeah, I'm looking for some advice on my business." And of some advice on my business." And of some advice on my business." And of course, the other person responds in course, the other person responds in course, the other person responds in this happy like that's a great idea. Do this happy like that's a great idea. Do this happy like that's a great idea. Do you want me to start a list of then they you want me to start a list of then they you want me to start a list of then they insert like some advertising into the insert like some advertising into the insert like some advertising into the conversation like totally out of nowhere conversation like totally out of nowhere conversation like totally out of nowhere and is like what like and is like what like and is like what like >> I think >> I think >> I think >> so open AI now is going to be like >> so open AI now is going to be like >> so open AI now is going to be like speaking of advertising be like oh I'm speaking of advertising be like oh I'm speaking of advertising be like oh I'm going to just insert random ads into our going to just insert random ads into our going to just insert random ads into our chatbot responses chatbot responses chatbot responses try to monetize that way >> uh with AI so opportunity of course for >> uh with AI so opportunity of course for claude anthropic to uh claude anthropic to uh claude anthropic to uh >> stick and not pollute uh their answers >> stick and not pollute uh their answers >> stick and not pollute uh their answers with that.

with that. with that. >> Well, but >> Well, but >> Well, but >> you know how there's >> you know how there's >> you know how there's >> Go ahead. >> Go ahead. >> Go ahead. >> You know, there's always been a You >> You know, there's always been a You >> You know, there's always been a You know, how there's always been this know, how there's always been this know, how there's always been this countdown clock to the apocalypse or countdown clock to the apocalypse or countdown clock to the apocalypse or whatever for the how many seconds to whatever for the how many seconds to whatever for the how many seconds to midnight or whatever on the nuclear. We midnight or whatever on the nuclear. We midnight or whatever on the nuclear. We should have a clock for that with AI. should have a clock for that with AI. should have a clock for that with AI. >> Well, actually, we could have two >> Well, actually, we could have two >> Well, actually, we could have two clocks. There's the one of where it just clocks. There's the one of where it just clocks. There's the one of where it just totally takes over, but there's also the totally takes over, but there's also the totally takes over, but there's also the other one that might be just as likely other one that might be just as likely other one that might be just as likely is when all of a sudden everyone, we all is when all of a sudden everyone, we all is when all of a sudden everyone, we all know that nobody actually has any money know that nobody actually has any money know that nobody actually has any money in their bank accounts except for Nvidia in their bank accounts except for Nvidia in their bank accounts except for Nvidia and we're all playing this little funny and we're all playing this little funny and we're all playing this little funny money game. But at some point in the money game. But at some point in the money game. But at some point in the next 6 months, year, 2 years, whatever, next 6 months, year, 2 years, whatever, next 6 months, year, 2 years, whatever, something's going to happen where all something's going to happen where all something's going to happen where all those IUs that OpenAI, you know, like, those IUs that OpenAI, you know, like, those IUs that OpenAI, you know, like, yeah, we're going to pay you 50 billion yeah, we're going to pay you 50 billion yeah, we're going to pay you 50 billion for this or whatever. Something's going for this or whatever. Something's going for this or whatever. Something's going to happen where all of a sudden it's to happen where all of a sudden it's to happen where all of a sudden it's like, uh, we don't actually have the like, uh, we don't actually have the like, uh, we don't actually have the money money money >> and then this ripple effect. >> and then this ripple effect. >> and then this ripple effect. >> It's already happening. That's the >> It's already happening. That's the >> It's already happening. That's the thing. It's already hap it's been thing. It's already hap it's been thing. It's already hap it's been happening for three months. And it's happening for three months. And it's happening for three months. And it's just we've we've entered the denial just we've we've entered the denial just we've we've entered the denial phase and it I mean I remember when I phase and it I mean I remember when I phase and it I mean I remember when I was in the Bay Area when all the the doc was in the Bay Area when all the the doc was in the Bay Area when all the the doc thing was collapsing how intense the thing was collapsing how intense the thing was collapsing how intense the denial was. I mean it was the obvious denial was. I mean it was the obvious denial was. I mean it was the obvious thing that was happening and you saw thing that was happening and you saw thing that was happening and you saw even I I was invested in some of these even I I was invested in some of these even I I was invested in some of these high-flying high-flying high-flying um you know uh B2B um you know uh B2B um you know uh B2B >> companies. Guess what? I lost >> companies. Guess what? I lost >> companies. Guess what? I lost everything.

everything. everything. >> I mean, these target disappeared after >> I mean, these target disappeared after >> I mean, these target disappeared after they went up like 5,000% or some they went up like 5,000% or some they went up like 5,000% or some ridiculous thing like that. But, you ridiculous thing like that. But, you ridiculous thing like that. But, you know, I ended up holding on to these know, I ended up holding on to these know, I ended up holding on to these turds. Uh because I thought, hey, it it turds. Uh because I thought, hey, it it turds. Uh because I thought, hey, it it really it can't. really it can't. really it can't. >> You know what, Leonard? >> You know what, Leonard? >> You know what, Leonard? >> It's Leonard. I want you to call it >> It's Leonard. I want you to call it >> It's Leonard. I want you to call it right now. I want you to come out and right now. I want you to come out and right now. I want you to come out and say it. I want you to make the call say it. I want you to make the call say it. I want you to make the call right now. You're talk you you and I right now. You're talk you you and I right now. You're talk you you and I have talked about this. I want you to have talked about this. I want you to have talked about this. I want you to officially come out and say it's happening now. It's what's it's happening now. It's what's happening. What's bursting? It's just happening. What's bursting? It's just happening. What's bursting? It's just come out and call it come out and call it come out and call it >> the AI bubble. >> the AI bubble. >> the AI bubble. >> Bubble. >> Bubble. >> Bubble. >> Yeah. >> Yeah. >> Yeah. >> Yeah. You're the guy. You're You're I >> Yeah. You're the guy. You're You're I >> Yeah. You're the guy. You're You're I want you to be on You're the guy on the want you to be on You're the guy on the want you to be on You're the guy on the record. The AI bubble is bursting. But record. The AI bubble is bursting. But record. The AI bubble is bursting. But you get the credit, Leonard. you get the credit, Leonard. you get the credit, Leonard. I I got to say right now the people to I I got to say right now the people to I I got to say right now the people to bet on are the semiconductor providers bet on are the semiconductor providers bet on are the semiconductor providers because if you look at the stock stock because if you look at the stock stock because if you look at the stock stock performance they're the guy I mean the performance they're the guy I mean the performance they're the guy I mean the guys in the middle the fact that that guys in the middle the fact that that guys in the middle the fact that that you know people are the AI companies are you know people are the AI companies are you know people are the AI companies are starting to introduce advertising into starting to introduce advertising into starting to introduce advertising into the feed. How disappointing is that?

the feed. How disappointing is that? the feed. How disappointing is that? >> Oh they haven't come up with a new >> Oh they haven't come up with a new >> Oh they haven't come up with a new business model. There's no actual way to business model. There's no actual way to business model. There's no actual way to justify. So you've got a company like justify. So you've got a company like justify. So you've got a company like Open AI piling billions of dollars, a Open AI piling billions of dollars, a Open AI piling billions of dollars, a lot of it off balance sheet into lot of it off balance sheet into lot of it off balance sheet into infrastructure, infrastructure, infrastructure, reaching the market, market reach, reaching the market, market reach, reaching the market, market reach, market gra, you know, dominate that blah market gra, you know, dominate that blah market gra, you know, dominate that blah blah blah with no visible path to blah blah with no visible path to blah blah with no visible path to actually monetizing any of that stuff. actually monetizing any of that stuff. actually monetizing any of that stuff. And so they're back on, oh, let's just And so they're back on, oh, let's just And so they're back on, oh, let's just flog them to adverts. The only companies flog them to adverts. The only companies flog them to adverts. The only companies that are really they're the winners, the that are really they're the winners, the that are really they're the winners, the guaranteed winners are the silicon guaranteed winners are the silicon guaranteed winners are the silicon providers. you know, everyone else in providers. you know, everyone else in providers. you know, everyone else in between is trying to figure out as long between is trying to figure out as long between is trying to figure out as long as yours shipping it. as yours shipping it. as yours shipping it. >> Yeah, that that's >> Yeah, that that's >> Yeah, that that's AMD just took a hit with their earnings. AMD just took a hit with their earnings. AMD just took a hit with their earnings. So, So, So, >> you know what's going to happen? Oh my >> you know what's going to happen? Oh my >> you know what's going to happen? Oh my god, I can see it now as you're seeing god, I can see it now as you're seeing god, I can see it now as you're seeing the guys being, you know, the perp the guys being, you know, the perp the guys being, you know, the perp walks, you know, everybody's in walks, you know, everybody's in walks, you know, everybody's in handcuffs like how all this ends and handcuffs like how all this ends and handcuffs like how all this ends and then you're going to find out that all then you're going to find out that all then you're going to find out that all the funny money thing, it was the funny money thing, it was the funny money thing, it was masterminded by Andy Fastile from Enron.

OH YEAH, AND by the way, OH YEAH, AND by the way, >> I thought Sam Bank >> I thought Sam Bank >> I thought Sam Bank Enron Enron Enron um was one of the highest revenue um was one of the highest revenue um was one of the highest revenue generating companies back in 1998. generating companies back in 1998. generating companies back in 1998. >> Yeah. And it was funny money. >> Yeah. And it was funny money. >> Yeah. And it was funny money. >> As soon as I heard Alistair say >> As soon as I heard Alistair say >> As soon as I heard Alistair say something about like I don't know off something about like I don't know off something about like I don't know off books or whatever, it was like books or whatever, it was like books or whatever, it was like >> you got triggered. Well, many many years >> you got triggered. Well, many many years >> you got triggered. Well, many many years ago, Jeff Gilling was briefly a client ago, Jeff Gilling was briefly a client ago, Jeff Gilling was briefly a client of of of a project that I that I led for of of of a project that I that I led for of of of a project that I that I led for Enron. Enron. Enron. >> Oh my god. >> Oh my god. >> Oh my god. >> Yeah. We did a we did a weather futures >> Yeah. We did a we did a weather futures >> Yeah. We did a we did a weather futures trading system and a broadband spot trading system and a broadband spot trading system and a broadband spot market um system to figure out how to do market um system to figure out how to do market um system to figure out how to do either of those things. broad the either of those things. broad the either of those things. broad the broadband market didn't work because broadband market didn't work because broadband market didn't work because it's not it's not a it's not a funible it's not it's not a it's not a funible it's not it's not a it's not a funible asset but the weather trading system asset but the weather trading system asset but the weather trading system they introduced and I we presented to they introduced and I we presented to they introduced and I we presented to Skilling like three or four times and Skilling like three or four times and Skilling like three or four times and Enron at that point was in this massive Enron at that point was in this massive Enron at that point was in this massive building in London overlooking building in London overlooking building in London overlooking Buckingham Palace you know the old coal Buckingham Palace you know the old coal Buckingham Palace you know the old coal but just oodles of money brilliant but just oodles of money brilliant but just oodles of money brilliant people wandering around all over the people wandering around all over the people wandering around all over the place and back then it felt like like place and back then it felt like like place and back then it felt like like some you know like some something's some you know like some something's some you know like some something's missing here you know it was a bit like missing here you know it was a bit like missing here you know it was a bit like the um Logan's run you know somewhere in the um Logan's run you know somewhere in the um Logan's run you know somewhere in the bathroom someone's being turned into the bathroom someone's being turned into the bathroom someone's being turned into soilent green or whatever it soilent green or whatever it soilent green or whatever it It was very It was very It was very >> But yeah, okay, we get the point.

>> But yeah, okay, we get the point. >> But yeah, okay, we get the point. >> Moving them all together here. >> Moving them all together here. >> Moving them all together here. >> By the way, the Dow Jones is up 964 >> By the way, the Dow Jones is up 964 >> By the way, the Dow Jones is up 964 points today. So, just points today. So, just points today. So, just >> what? >> what? >> what? >> Yeah, because of what uh Nvidia I think >> Yeah, because of what uh Nvidia I think >> Yeah, because of what uh Nvidia I think is is is >> it's obviously not being driven by >> it's obviously not being driven by >> it's obviously not being driven by Amazon today. Amazon today. Amazon today. >> No, everybody's up. Everybody's up >> No, everybody's up. Everybody's up >> No, everybody's up. Everybody's up today. So something today. So something today. So something >> uh not the software guys, but see that's >> uh not the software guys, but see that's >> uh not the software guys, but see that's the that's the funny thing. I mean they the that's the funny thing. I mean they the that's the funny thing. I mean they don't even know what to make of all the don't even know what to make of all the don't even know what to make of all the stuff. It's it's just they're so stuff. It's it's just they're so stuff. It's it's just they're so confused. Um but you know um the big confused. Um but you know um the big confused. Um but you know um the big >> I love predicting the future outcomes is >> I love predicting the future outcomes is >> I love predicting the future outcomes is that remember we talked about this. I that remember we talked about this. I that remember we talked about this. I love that you brought up Logan's Run. love that you brought up Logan's Run. love that you brought up Logan's Run. You know it's like are we going to is You know it's like are we going to is You know it's like are we going to is which do we going to be in the Matrix? which do we going to be in the Matrix? which do we going to be in the Matrix? Is it going to be like Logan's Run? Is Is it going to be like Logan's Run? Is Is it going to be like Logan's Run? Is it going to be like Soilent Soilent it going to be like Soilent Soilent it going to be like Soilent Soilent Green? You know, I don't know. Green? You know, I don't know. Green? You know, I don't know. >> Dystopia. >> Dystopia. >> Dystopia. >> Dystopia. >> Dystopia. >> Dystopia. >> Was Soilent Green Logan's run or was >> Was Soilent Green Logan's run or was >> Was Soilent Green Logan's run or was that that that >> different marathon? >> different marathon? >> different marathon? >> Different movies, but >> Different movies, but >> Different movies, but >> different movies.

>> different movies. >> different movies. >> Soilent green though. So Green is made >> Soilent green though. So Green is made >> Soilent green though. So Green is made out of people as it turns out. You know, out of people as it turns out. You know, out of people as it turns out. You know, obviously that was the big Charlton H obviously that was the big Charlton H obviously that was the big Charlton H thing there. thing there. thing there. >> Um, yeah. This is exciting stuff, guys. >> Um, yeah. This is exciting stuff, guys. >> Um, yeah. This is exciting stuff, guys. >> You know. >> You know. >> You know. >> Wow. Pick your dystopia. I love it. >> Wow. Pick your dystopia. I love it. >> Wow. Pick your dystopia. I love it. >> Yeah. Pick your dystopia. Maybe that's >> Yeah. Pick your dystopia. Maybe that's >> Yeah. Pick your dystopia. Maybe that's what we call this episode. But yeah, you what we call this episode. But yeah, you what we call this episode. But yeah, you know, um know, um know, um >> it it's just uh it's just getting so >> it it's just uh it's just getting so >> it it's just uh it's just getting so ridiculous and the AI slot problem is ridiculous and the AI slot problem is ridiculous and the AI slot problem is real. Have you seen some of these AI real. Have you seen some of these AI real. Have you seen some of these AI generated um you know, reports uh on, generated um you know, reports uh on, generated um you know, reports uh on, you know, whatever Bloomberg, etc., you know, whatever Bloomberg, etc., you know, whatever Bloomberg, etc., etc., you know, all these different uh etc., you know, all these different uh etc., you know, all these different uh financial um service outlets. financial um service outlets. financial um service outlets. They're so bad, but they are shaping the They're so bad, but they are shaping the They're so bad, but they are shaping the narrative. So now narrative. So now narrative. So now the markets are going to be eventually the markets are going to be eventually the markets are going to be eventually shaped by the hallucinations of uh AI shaped by the hallucinations of uh AI shaped by the hallucinations of uh AI and they will probably create and they will probably create and they will probably create exaggerated bubbles, right? And exaggerated bubbles, right? And exaggerated bubbles, right? And you know, the only way that you're, you you know, the only way that you're, you you know, the only way that you're, you know, you're going to really understand know, you're going to really understand know, you're going to really understand what the ground truth is is you have to what the ground truth is is you have to what the ground truth is is you have to go out into the physical world as a go out into the physical world as a go out into the physical world as a human and actually try to figure it out.

human and actually try to figure it out. human and actually try to figure it out. >> Yes. >> Yes. >> Yes. >> So, um, >> So, um, >> So, um, >> you're going to have to escape outside >> you're going to have to escape outside >> you're going to have to escape outside the city seals, outside the dome. the city seals, outside the dome. the city seals, outside the dome. >> Yeah. Because you know what? Here's the >> Yeah. Because you know what? Here's the >> Yeah. Because you know what? Here's the here's the thing that I I realize. The here's the thing that I I realize. The here's the thing that I I realize. The valuations of companies may be up, but valuations of companies may be up, but valuations of companies may be up, but their actual revenues are tiny. And in their actual revenues are tiny. And in their actual revenues are tiny. And in bubbles like this, the thing is is to bubbles like this, the thing is is to bubbles like this, the thing is is to your point, Rob, a lot of the players your point, Rob, a lot of the players your point, Rob, a lot of the players that are that need to channel the value that are that need to channel the value that are that need to channel the value down into the ecosystem make almost no down into the ecosystem make almost no down into the ecosystem make almost no money. Um there's no uplift. Let's say, money. Um there's no uplift. Let's say, money. Um there's no uplift. Let's say, you know, for these software guys, you know, for these software guys, you know, for these software guys, they're getting killed, right? The ISVs. they're getting killed, right? The ISVs. they're getting killed, right? The ISVs. It's funny because they they're growing It's funny because they they're growing It's funny because they they're growing their businesses organically. They made their businesses organically. They made their businesses organically. They made these ridiculous claims about agentic AI these ridiculous claims about agentic AI these ridiculous claims about agentic AI and all this stuff, but you know, and all this stuff, but you know, and all this stuff, but you know, obviously there's no way that they're obviously there's no way that they're obviously there's no way that they're able to prove how much uh to attribute able to prove how much uh to attribute able to prove how much uh to attribute AI to their growth, but it's clear that AI to their growth, but it's clear that AI to their growth, but it's clear that it's they're not able to monetize the it's they're not able to monetize the it's they're not able to monetize the the uh you know um the way that they had the uh you know um the way that they had the uh you know um the way that they had asserted very early on. But it's just so asserted very early on. But it's just so asserted very early on. But it's just so funny to see uh them become victims of a funny to see uh them become victims of a funny to see uh them become victims of a tool that actually they can leverage tool that actually they can leverage tool that actually they can leverage themselves, right? To and they're the themselves, right? To and they're the themselves, right? To and they're the guys who would make something like a guys who would make something like a guys who would make something like a Gentic viable for an enterprise. They're Gentic viable for an enterprise. They're Gentic viable for an enterprise. They're they're up there first in line. It's not they're up there first in line. It's not they're up there first in line. It's not like anthropic in these guys, right? Uh like anthropic in these guys, right? Uh like anthropic in these guys, right? Uh you know, Salesforce and uh Service Now, you know, Salesforce and uh Service Now, you know, Salesforce and uh Service Now, these guys will also use the same tools.

these guys will also use the same tools. these guys will also use the same tools. They'll use OpenAI's coding crap to They'll use OpenAI's coding crap to They'll use OpenAI's coding crap to augment their SDLC's. augment their SDLC's. augment their SDLC's. At the end of the day, you still have to At the end of the day, you still have to At the end of the day, you still have to deal with, you know, decades of old deal with, you know, decades of old deal with, you know, decades of old right? And right? And right? And >> yeah, and the but I think they're just >> yeah, and the but I think they're just >> yeah, and the but I think they're just trying to set up a pivot and shift, you trying to set up a pivot and shift, you trying to set up a pivot and shift, you know, like uh shift money um take it out know, like uh shift money um take it out know, like uh shift money um take it out of these companies so they can dump it of these companies so they can dump it of these companies so they can dump it into uh these IPOs for anthropic and into uh these IPOs for anthropic and into uh these IPOs for anthropic and open AI. That's what I think is open AI. That's what I think is open AI. That's what I think is happening. happening. happening. >> I think open AI is kind of the I don't >> I think open AI is kind of the I don't >> I think open AI is kind of the I don't want to say toxic, but they are want to say toxic, but they are want to say toxic, but they are problematic these days. And I think problematic these days. And I think problematic these days. And I think that's kind of one of the reasons why that's kind of one of the reasons why that's kind of one of the reasons why Microsoft kind of took a tumble is the Microsoft kind of took a tumble is the Microsoft kind of took a tumble is the entanglements with open AI. entanglements with open AI. entanglements with open AI. >> Yeah, it's pretty obvious the RPO stuff >> Yeah, it's pretty obvious the RPO stuff >> Yeah, it's pretty obvious the RPO stuff is risky. There's no real money there. is risky. There's no real money there. is risky. There's no real money there. There's funding. There's no revenue. There's funding. There's no revenue. There's funding. There's no revenue. >> But they and they haven't found a >> But they and they haven't found a >> But they and they haven't found a business model. I mean, they started as business model. I mean, they started as business model. I mean, they started as kind of an infrastructure, you know, kind of an infrastructure, you know, kind of an infrastructure, you know, Gazette doesn't go out as infrastructure Gazette doesn't go out as infrastructure Gazette doesn't go out as infrastructure and then they said, "No, we're going to and then they said, "No, we're going to and then they said, "No, we're going to go direct to consumer. We're going to do go direct to consumer. We're going to do go direct to consumer. We're going to do chat bots. We're going to charge for it. chat bots. We're going to charge for it. chat bots. We're going to charge for it. We're going to do videos. We're gonna, We're going to do videos. We're gonna, We're going to do videos. We're gonna, you know, instead of powering platforms, you know, instead of powering platforms, you know, instead of powering platforms, they want to be the platform again.

they want to be the platform again. they want to be the platform again. >> Yeah. >> Yeah. >> Yeah. >> Now it's like, okay, so you're competing >> Now it's like, okay, so you're competing >> Now it's like, okay, so you're competing with who you're selling to. Meanwhile, with who you're selling to. Meanwhile, with who you're selling to. Meanwhile, Anthropics like, you know, we're just Anthropics like, you know, we're just Anthropics like, you know, we're just going to be this business engine for AI going to be this business engine for AI going to be this business engine for AI and uh, you know, we'll see how it plays and uh, you know, we'll see how it plays and uh, you know, we'll see how it plays out. But I think out. But I think out. But I think >> Yeah. The bottom line is this. Nobody >> Yeah. The bottom line is this. Nobody >> Yeah. The bottom line is this. Nobody wants to pay for it. wants to pay for it. wants to pay for it. >> That's the biggest problem right now. >> That's the biggest problem right now. >> That's the biggest problem right now. No, you know they were talking. Nobody No, you know they were talking. Nobody No, you know they were talking. Nobody wants it. Nobody wants to pay. wants it. Nobody wants to pay. wants it. Nobody wants to pay. >> It's not essential. That's the problem. >> It's not essential. That's the problem. >> It's not essential. That's the problem. It's not essential. You can live without It's not essential. You can live without It's not essential. You can live without >> and be doing all the same.com business >> and be doing all the same.com business >> and be doing all the same.com business model. So, it'll be free for a while, model. So, it'll be free for a while, model. So, it'll be free for a while, but then they'll upgrade to the paid but then they'll upgrade to the paid but then they'll upgrade to the paid program plan program plan program plan >> and then they no one ever up went to the >> and then they no one ever up went to the >> and then they no one ever up went to the paid plan and then the.com bubble burst. paid plan and then the.com bubble burst. paid plan and then the.com bubble burst. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> It's all about the eyeballs. That's >> It's all about the eyeballs. That's >> It's all about the eyeballs. That's right. right. right. >> Capture the eyeballs. >> Capture the eyeballs. >> Capture the eyeballs. >> Remember people talking about I I I own >> Remember people talking about I I I own >> Remember people talking about I I I own this internet property. this internet property. this internet property. >> Yeah. Yeah. >> Like that meant something like you own >> Like that meant something like you own land or something.

land or something. land or something. >> But but isn't that the same thing? And >> But but isn't that the same thing? And >> But but isn't that the same thing? And you know back then a website having a you know back then a website having a you know back then a website having a website being able to drive personalized website being able to drive personalized website being able to drive personalized commerce through it and advertising or commerce through it and advertising or commerce through it and advertising or you know having uh you know personalized you know having uh you know personalized you know having uh you know personalized product catalog. I mean we had all that product catalog. I mean we had all that product catalog. I mean we had all that stuff back then that in fact stuff back then that in fact stuff back then that in fact personalization was invented in the dot personalization was invented in the dot personalization was invented in the dot era by broad broadvision I don't know if era by broad broadvision I don't know if era by broad broadvision I don't know if people remember broadvision ATG uh people remember broadvision ATG uh people remember broadvision ATG uh eventually cold fusion had their own eventually cold fusion had their own eventually cold fusion had their own >> you know programming Cold Fusion >> you know programming Cold Fusion >> you know programming Cold Fusion >> yeah it was cool stuff I actually really >> yeah it was cool stuff I actually really >> yeah it was cool stuff I actually really thought they did a great job until they thought they did a great job until they thought they did a great job until they became irrelevant but >> server page versus Java Serlet. Yeah, I >> server page versus Java Serlet. Yeah, I remember those days. Yeah, those were remember those days. Yeah, those were remember those days. Yeah, those were good times, man. good times, man. good times, man. >> They were. That was really fun. >> They were. That was really fun. >> They were. That was really fun. >> I want to be put into the Matrix where >> I want to be put into the Matrix where >> I want to be put into the Matrix where I'm back in the 90s. I think I think I'm back in the 90s. I think I think I'm back in the 90s. I think I think that's what I'm going to go with. that's what I'm going to go with. that's what I'm going to go with. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> That means that we spending a lot of >> That means that we spending a lot of >> That means that we spending a lot of time in the tech section of Barnes & time in the tech section of Barnes & time in the tech section of Barnes & Noble. That's where you saw down.

Noble. That's where you saw down. Noble. That's where you saw down. >> Yes. That's remember that was like the >> Yes. That's remember that was like the >> Yes. That's remember that was like the biggest section in the bookstore was biggest section in the bookstore was biggest section in the bookstore was tech computer, man. Barnes & Noles are tech computer, man. Barnes & Noles are tech computer, man. Barnes & Noles are back. back. back. >> Yeah. See, I want I want all of that. I >> Yeah. See, I want I want all of that. I >> Yeah. See, I want I want all of that. I want all that. We're going to go back want all that. We're going to go back want all that. We're going to go back there. Well, of course, remember the there. Well, of course, remember the there. Well, of course, remember the Matrix The Matrix was the that time Matrix The Matrix was the that time Matrix The Matrix was the that time frame was 1999. It was the height of frame was 1999. It was the height of frame was 1999. It was the height of Western civilization Western civilization Western civilization >> was the end of the '9s. You know, it's >> was the end of the '9s. You know, it's >> was the end of the '9s. You know, it's all downhill after that. all downhill after that. all downhill after that. >> Per Alistair's comment, we are on a >> Per Alistair's comment, we are on a >> Per Alistair's comment, we are on a slide toward digital dystopia. Choose slide toward digital dystopia. Choose slide toward digital dystopia. Choose your own dystopia. your own dystopia. your own dystopia. >> Choose your own >> Choose your own >> Choose your own person. It could be personalized, you person. It could be personalized, you person. It could be personalized, you know, know, know, >> right? Personalized dystopia just for >> right? Personalized dystopia just for >> right? Personalized dystopia just for you. you. you. >> Would you like me to turn that into a >> Would you like me to turn that into a >> Would you like me to turn that into a five bullet point slide for you? five bullet point slide for you? five bullet point slide for you? >> That's right. >> That's right. >> That's right. >> Shall I make a task list for you? >> Shall I make a task list for you? >> Shall I make a task list for you? >> Oh my god, you guys are so funny. You >> Oh my god, you guys are so funny. You >> Oh my god, you guys are so funny. You know, Oh, yeah. You know what was cool know, Oh, yeah. You know what was cool know, Oh, yeah. You know what was cool is um I used to go to the um uh the is um I used to go to the um uh the is um I used to go to the um uh the Barnes & Noble off of San Carlos, I Barnes & Noble off of San Carlos, I Barnes & Noble off of San Carlos, I think it was. Uh and they had a guitar think it was. Uh and they had a guitar think it was. Uh and they had a guitar center right next to it. So that was center right next to it. So that was center right next to it. So that was really convenient. So I would go to go really convenient. So I would go to go really convenient. So I would go to go do my tech homework at the Barnes & do my tech homework at the Barnes & do my tech homework at the Barnes & Noles and then skip on over to the Noles and then skip on over to the Noles and then skip on over to the guitar center and just screw around for guitar center and just screw around for guitar center and just screw around for a little.

a little. a little. >> I love that. I love that. >> I love that. I love that. >> I love that. I love that. >> I need I need to bend you gentlemen >> I need I need to bend you gentlemen >> I need I need to bend you gentlemen goodbye. Unfortunately, I've got to go goodbye. Unfortunately, I've got to go goodbye. Unfortunately, I've got to go and and and >> customer. >> customer. >> customer. >> You go do real things, don't you? Like >> You go do real things, don't you? Like >> You go do real things, don't you? Like meetings and business and money and all meetings and business and money and all meetings and business and money and all that. that. that. >> Yeah. >> Yeah. >> Yeah. >> Oh my god. Debbie was hanging on the >> Oh my god. Debbie was hanging on the >> Oh my god. Debbie was hanging on the whole time. She didn't say much. >> You need to jump in there, Debbie. >> You need to jump in there, Debbie. Debbie is an AI agent and she's just Debbie is an AI agent and she's just Debbie is an AI agent and she's just there going, "You guys are awesome." there going, "You guys are awesome." there going, "You guys are awesome." >> He's in her mode. >> He's in her mode. >> He's in her mode. >> You're awesome. You're gonna rock it, >> You're awesome. You're gonna rock it, >> You're awesome. You're gonna rock it, guys. guys. guys. >> Awesome. >> Awesome. >> Awesome. >> I love you guys. You're awesome. >> It's hard to hear her. >> It's hard to hear her. >> Yeah. No, I get it. Debbie, thanks for >> Yeah. No, I get it. Debbie, thanks for >> Yeah. No, I get it. Debbie, thanks for jumping on. I know that jumping on. I know that jumping on. I know that >> you have all of us had technical issues >> you have all of us had technical issues >> you have all of us had technical issues this time, but uh Rob, you want to take this time, but uh Rob, you want to take this time, but uh Rob, you want to take us out another ridiculous episode of IoT us out another ridiculous episode of IoT us out another ridiculous episode of IoT Coffee Talk.

Coffee Talk. Coffee Talk. >> Yes, it was. It was ridiculous. And yet, >> Yes, it was. It was ridiculous. And yet, >> Yes, it was. It was ridiculous. And yet, precence because you'll think it's precence because you'll think it's precence because you'll think it's crazy. You'll think we're nuts and we're crazy. You'll think we're nuts and we're crazy. You'll think we're nuts and we're just like some kind of comedy show and just like some kind of comedy show and just like some kind of comedy show and then you're going to find out later on then you're going to find out later on then you're going to find out later on that we called it and we nailed it early that we called it and we nailed it early that we called it and we nailed it early on. We We nailed the whole dystopia on. We We nailed the whole dystopia on. We We nailed the whole dystopia that's coming. that's coming. that's coming. >> 26. >> 26. >> 26. >> Exactly. Mark your calendar. That's >> Exactly. Mark your calendar. That's >> Exactly. Mark your calendar. That's right. This is when it all happened. right. This is when it all happened. right. This is when it all happened. Leonard Lee called it. We are already Leonard Lee called it. We are already Leonard Lee called it. We are already bursting the AI bubble. People are in bursting the AI bubble. People are in bursting the AI bubble. People are in denial. They just don't know it yet. denial. They just don't know it yet. denial. They just don't know it yet. They're like, "No, no, my Nvidia is They're like, "No, no, my Nvidia is They're like, "No, no, my Nvidia is going to go to $1 million per share." going to go to $1 million per share." going to go to $1 million per share." You know, You know, You know, >> it's going to be $250,000 >> it's going to be $250,000 >> it's going to be $250,000 >> crypto last year. >> crypto last year. >> crypto last year. >> The crypto, the Bitcoin guys kept >> The crypto, the Bitcoin guys kept >> The crypto, the Bitcoin guys kept telling me, "Just keep piling it in, telling me, "Just keep piling it in, telling me, "Just keep piling it in, man. It's going to a million. man. It's going to a million. man. It's going to a million. >> Go to a million by the end of the year." >> Go to a million by the end of the year." >> Go to a million by the end of the year." Even though it's likely Even though it's likely Even though it's likely >> I love it. Oh my gosh. the real world >> I love it. Oh my gosh. the real world >> I love it. Oh my gosh. the real world comes crashing in. So hopefully if if comes crashing in. So hopefully if if comes crashing in. So hopefully if if thing works out, you know, you'll get to thing works out, you know, you'll get to thing works out, you know, you'll get to choose your own dystopia, you know, for choose your own dystopia, you know, for choose your own dystopia, you know, for your your AI overlords, you know, your your AI overlords, you know, your your AI overlords, you know, hopefully. But do you want Logan's run?

hopefully. But do you want Logan's run? hopefully. But do you want Logan's run? You may die at 30, but you know, you'll You may die at 30, but you know, you'll You may die at 30, but you know, you'll have a blast up until then. The Matrix have a blast up until then. The Matrix have a blast up until then. The Matrix might be another option. Hopefully not might be another option. Hopefully not might be another option. Hopefully not Soilent Green. We need to think of other Soilent Green. We need to think of other Soilent Green. We need to think of other possible dystopias. Actually, people possible dystopias. Actually, people possible dystopias. Actually, people need to be able to switch between need to be able to switch between need to be able to switch between dystopias. Maybe. I just hope that the dystopias. Maybe. I just hope that the dystopias. Maybe. I just hope that the AI overlords when they take control, AI overlords when they take control, AI overlords when they take control, they let me be the guy that makes queso they let me be the guy that makes queso they let me be the guy that makes queso dip for people. If that's what they'll dip for people. If that's what they'll dip for people. If that's what they'll let me do, you know, like when you're let me do, you know, like when you're let me do, you know, like when you're talking about the meat space and giving talking about the meat space and giving talking about the meat space and giving me a task, I'm just going to make queso me a task, I'm just going to make queso me a task, I'm just going to make queso dip. dip. dip. >> You should be up for that. Queso maker. >> You should be up for that. Queso maker. >> You should be up for that. Queso maker. >> Yeah. >> Yeah. >> Yeah. >> I want to be queso maker for the AI. >> I want to be queso maker for the AI. >> I want to be queso maker for the AI. That's That's That's >> Yeah, exactly. >> Yeah, exactly. >> Yeah, exactly. >> That's all I want. That's all I WANTED >> That's all I want. That's all I WANTED >> That's all I want. That's all I WANTED TO DO IS MAKE A QUESO. I THOUGHT it was TO DO IS MAKE A QUESO. I THOUGHT it was TO DO IS MAKE A QUESO. I THOUGHT it was so they wouldn't give it to me. Anyway, >> I love you guys and much love to elevate >> I love you guys and much love to elevate communities and we're going to see you communities and we're going to see you communities and we're going to see you next week. Hopefully. Hopefully we next week. Hopefully. Hopefully we next week. Hopefully. Hopefully we haven't been transposed by AI avatars as haven't been transposed by AI avatars as haven't been transposed by AI avatars as we've been swept away and taken off in a we've been swept away and taken off in a we've been swept away and taken off in a truck somewhere. You never know.

>> Byebye. >> Byebye. >> Paraday >> Paraday >> Paraday cage. You might get one of those, too. cage. You might get one of those, too. cage. You might get one of those, too. Watch out. Open claw. Watch out. Watch out. Open claw. Watch out. Watch out. Open claw. Watch out. >> All star >> All star >> All star open claw. open claw. open claw. >> Yeah.