IoT Coffee Talk: Episode 294 - Unlikely Predictions (The Merry New Year 26' Edition)

Heat. Heat. Heat. Heat. [music] Heat up Heat up >> [music] >> Happy new year. Happy new year. Yes, >> Happy new year. Happy new year. Yes, that's right.

>> [laughter] >> [laughter] >> I got to watch that today. >> I got to watch that today. >> I got to watch that today. >> Yeah, green places. So good. >> Yeah, green places. So good. >> Yeah, green places. So good. >> You know, uh, >> You know, uh, >> You know, uh, of all the Wall Street movies that was of all the Wall Street movies that was of all the Wall Street movies that was u, you know, ever produced by Hollywood, u, you know, ever produced by Hollywood, u, you know, ever produced by Hollywood, that was probably number two. that was probably number two. that was probably number two. >> Wall Street one, right? >> Wall Street one, right? >> Wall Street one, right? >> Wall Street's number one. Yeah. But >> Wall Street's number one. Yeah. But >> Wall Street's number one. Yeah. But Trading Places is right there. And then Trading Places is right there. And then Trading Places is right there. And then the Wolf of Wall Street probably >> just in 10 compared to Trading Places. >> just in 10 compared to Trading Places. >> Trading Places taught you everything you >> Trading Places taught you everything you >> Trading Places taught you everything you needed to know about Wall Street. needed to know about Wall Street. needed to know about Wall Street. >> Just get back in there and sell. Sell >> Just get back in there and sell. Sell >> Just get back in there and sell. Sell >> sell. >> sell. >> sell. >> Yeah, exactly. [clears throat] We're >> Yeah, exactly. [clears throat] We're >> Yeah, exactly. [clears throat] We're going to corner the frozen orange juice going to corner the frozen orange juice going to corner the frozen orange juice market. [laughter] market. [laughter] market. [laughter] >> Back then it was that simple, right? I >> Back then it was that simple, right? I >> Back then it was that simple, right? I mean, think about it. The whole thing mean, think about it. The whole thing mean, think about it. The whole thing was about uh you know um was about uh you know um was about uh you know um I mean the how simple insider trading I mean the how simple insider trading I mean the how simple insider trading was back then. Now was back then. Now was back then. Now >> information is everywhere >> information is everywhere >> information is everywhere >> and everyone for all we know is doing >> and everyone for all we know is doing >> and everyone for all we know is doing insider trading. [laughter] insider trading. [laughter] insider trading. [laughter] >> Yes. which I I had an interesting >> Yes. which I I had an interesting >> Yes. which I I had an interesting exchange on YouTube exchange on YouTube exchange on YouTube >> ultimately because somebody was um you >> ultimately because somebody was um you >> ultimately because somebody was um you know saying know saying know saying >> well why don't you give us stock stock >> well why don't you give us stock stock >> well why don't you give us stock stock advice or what which we invested in 2026 advice or what which we invested in 2026 advice or what which we invested in 2026 and I said I can't tell you I I like and I said I can't tell you I I like and I said I can't tell you I I like little legally and ethically cannot tell little legally and ethically cannot tell little legally and ethically cannot tell you that is not what I do you that is not what I do you that is not what I do >> and so people these days don't >> and so people these days don't >> and so people these days don't understand what conflict of interest

understand what conflict of interest understand what conflict of interest means they don't understand I mean it's means they don't understand I mean it's means they don't understand I mean it's weird weird weird They really don't they don't know what They really don't they don't know what They really don't they don't know what conflict of interest means and what the conflict of interest means and what the conflict of interest means and what the implications of conflict of interest are implications of conflict of interest are implications of conflict of interest are in anything whether it's let's say for in anything whether it's let's say for in anything whether it's let's say for um an HOA right and being a board a um an HOA right and being a board a um an HOA right and being a board a board of um director there or board board of um director there or board board of um director there or board member there or large a corporation or member there or large a corporation or member there or large a corporation or you know your fiduciary duty as an you know your fiduciary duty as an you know your fiduciary duty as an investor versus like what we do like investor versus like what we do like investor versus like what we do like industry analyst we have we do have industry analyst we have we do have industry analyst we have we do have certain responsibilities of being um you certain responsibilities of being um you certain responsibilities of being um you know independent in giving advice and know independent in giving advice and know independent in giving advice and stuff like that. I mean, you know, for stuff like that. I mean, you know, for stuff like that. I mean, you know, for instance, you know, if you get on a call instance, you know, if you get on a call instance, you know, if you get on a call with the investor, you can't just say with the investor, you can't just say with the investor, you can't just say anything, right? There's compliance anything, right? There's compliance anything, right? There's compliance requirements. And so, requirements. And so, requirements. And so, you know, I think um back then it was you know, I think um back then it was you know, I think um back then it was more simple. You know, it's some guy in more simple. You know, it's some guy in more simple. You know, it's some guy in a trench coat sitting underneath the a trench coat sitting underneath the a trench coat sitting underneath the shadows in a parking garage shadows in a parking garage shadows in a parking garage >> garage with a suitcase. [laughter] Here's [cough and clears throat] Here's [cough and clears throat] the new crop report the new crop report the new crop report >> for orange juice in Florida.

>> for orange juice in Florida. >> for orange juice in Florida. >> Exactly. >> Exactly. >> Exactly. [clears throat] [clears throat] [clears throat] >> Anyway, what a terrible way to hash the >> Anyway, what a terrible way to hash the >> Anyway, what a terrible way to hash the new year. But uh hey, welcome everyone new year. But uh hey, welcome everyone new year. But uh hey, welcome everyone IoT listeners, fans, IoT listeners, fans, IoT listeners, fans, merry new year and we appreciate you merry new year and we appreciate you merry new year and we appreciate you guys so much. Um and uh you know uh guys so much. Um and uh you know uh guys so much. Um and uh you know uh remember that um you take us seriously. remember that um you take us seriously. remember that um you take us seriously. This is rule number one of IoT coffee This is rule number one of IoT coffee This is rule number one of IoT coffee talk, right? Uh you take us seriously at talk, right? Uh you take us seriously at talk, right? Uh you take us seriously at your own risk because we're really just your own risk because we're really just your own risk because we're really just having fun. I don't even know if we're having fun. I don't even know if we're having fun. I don't even know if we're being informative, Rob. being informative, Rob. being informative, Rob. >> We are. >> We are. >> We are. >> Are we being informative? >> Are we being informative? >> Are we being informative? >> You don't know it. It subconsciously >> You don't know it. It subconsciously >> You don't know it. It subconsciously just beams out to people, you know. just beams out to people, you know. just beams out to people, you know. We're just, We're just, We're just, >> you know, and but a lot of people tune >> you know, and but a lot of people tune >> you know, and but a lot of people tune in so they can hear a just a long rant in so they can hear a just a long rant in so they can hear a just a long rant from Dimmitri. from Dimmitri. from Dimmitri. >> That's what they really That's the >> That's what they really That's the >> That's what they really That's the entertainment. [laughter] entertainment. [laughter] entertainment. [laughter] >> Are you ranting? Never. >> Are you ranting? Never. >> Are you ranting? Never. >> I complain. I'm not trying to complain.

>> I complain. I'm not trying to complain. >> I complain. I'm not trying to complain. >> Well, you know, at least the guy's >> Well, you know, at least the guy's >> Well, you know, at least the guy's honest about it, right? honest about it, right? honest about it, right? >> Yeah. Wonderful. >> Yeah. Wonderful. >> Yeah. Wonderful. >> Yeah. Well, who knew that we'd still be >> Yeah. Well, who knew that we'd still be >> Yeah. Well, who knew that we'd still be around in 2026? around in 2026? around in 2026? >> Yeah. Is [laughter] that crazy? >> Yeah. Is [laughter] that crazy? >> Yeah. Is [laughter] that crazy? >> Yeah. We um we outlived, >> Yeah. We um we outlived, >> Yeah. We um we outlived, you know, we you know, we you know, we um outlived co pandemic. um outlived co pandemic. um outlived co pandemic. >> Outlived coh. >> Outlived coh. >> Outlived coh. >> Think about that. Yeah. >> Think about that. Yeah. >> Think about that. Yeah. >> Yeah. I thought you were going to say we >> Yeah. I thought you were going to say we >> Yeah. I thought you were going to say we outlived our usefulness, but outlived our usefulness, but outlived our usefulness, but >> literally no [laughter] >> literally no [laughter] >> literally no [laughter] literally the genesis of the show. It's literally the genesis of the show. It's literally the genesis of the show. It's from from from >> the pandemic, right? Co. >> the pandemic, right? Co. >> the pandemic, right? Co. >> Yeah. >> Yeah. >> Yeah. >> Yeah. We are an out outcome. We are a >> Yeah. We are an out outcome. We are a >> Yeah. We are an out outcome. We are a byproduct. [laughter] byproduct. [laughter] byproduct. [laughter] You know, you think about it. You know, you think about it. You know, you think about it. >> You know, you think about it, Leonard. >> You know, you think about it, Leonard. >> You know, you think about it, Leonard. Like I remember the two of us were like Like I remember the two of us were like Like I remember the two of us were like rapidly before we started this show, rapidly before we started this show, rapidly before we started this show, but like you know like a couple months but like you know like a couple months but like you know like a couple months earlier like right as CO was hitting we earlier like right as CO was hitting we earlier like right as CO was hitting we were like creating all these were like creating all these were like creating all these presentations and decks and doing events presentations and decks and doing events presentations and decks and doing events where we were talking about using IoT where we were talking about using IoT where we were talking about using IoT with CO and and tracking and stuff like with CO and and tracking and stuff like with CO and and tracking and stuff like that and apps and that and apps and that and apps and >> uh you know cuz I just remember us being >> uh you know cuz I just remember us being >> uh you know cuz I just remember us being on a number of panels and obviously on a number of panels and obviously on a number of panels and obviously remember everybody just all conferences remember everybody just all conferences remember everybody just all conferences switched to being streaming. right switched to being streaming. right switched to being streaming. right online.

online. online. >> Yeah. >> Yeah. >> Yeah. >> Which um which I've obviously made this >> Which um which I've obviously made this >> Which um which I've obviously made this Zoom platform popular. Zoom platform popular. Zoom platform popular. >> Yeah. >> Yeah. >> Yeah. >> Um but yeah, you know, you're right. >> Um but yeah, you know, you're right. >> Um but yeah, you know, you're right. That was that was right in it, you know. That was that was right in it, you know. That was that was right in it, you know. And And And >> I remember you talking about I don't >> I remember you talking about I don't >> I remember you talking about I don't know some kind of blast radius thing or know some kind of blast radius thing or know some kind of blast radius thing or I don't know related to CO and IoT and I don't know related to CO and IoT and I don't know related to CO and IoT and different you know. different you know. different you know. >> Yeah. And then we did the code code red >> Yeah. And then we did the code code red >> Yeah. And then we did the code code red thingy, right? Yeah. thingy, right? Yeah. thingy, right? Yeah. >> The different coding. >> The different coding. >> The different coding. >> Yeah, that's right. >> Yeah, that's right. >> Yeah, that's right. >> You were going to save the world. >> You were going to save the world. >> You were going to save the world. >> Yeah. Well, you know, actually there >> Yeah. Well, you know, actually there >> Yeah. Well, you know, actually there were a lot of good ideas including um a were a lot of good ideas including um a were a lot of good ideas including um a lot of the privacy things that we had lot of the privacy things that we had lot of the privacy things that we had raised because that was a sticking raised because that was a sticking raised because that was a sticking point. But uh in retrospect, those are point. But uh in retrospect, those are point. But uh in retrospect, those are things to contemplate things to contemplate things to contemplate when there's another pandemic, right? when there's another pandemic, right? when there's another pandemic, right? It's not if there's [snorts] It's not if there's [snorts] It's not if there's [snorts] uh you know when and um what readiness uh you know when and um what readiness uh you know when and um what readiness should look like which is actually now should look like which is actually now should look like which is actually now let's bring up let's bring up um our let's bring up let's bring up um our let's bring up let's bring up um our charity which is elevate communities charity which is elevate communities charity which is elevate communities which we we need to promote more here which we we need to promote more here which we we need to promote more here because I think um this is one of those because I think um this is one of those because I think um this is one of those those types of events where IoT those types of events where IoT those types of events where IoT technologies as well as the governments technologies as well as the governments technologies as well as the governments and um policies to and um policies to and um policies to um let's say for an exceptional um let's say for an exceptional um let's say for an exceptional emergency purpose.

emergency purpose. emergency purpose. You just tweak things like privacy You just tweak things like privacy You just tweak things like privacy uh to ensure um a lot of the uh to ensure um a lot of the uh to ensure um a lot of the capabilities that folks are going to capabilities that folks are going to capabilities that folks are going to need in order to uh survive an event need in order to uh survive an event need in order to uh survive an event like that, right? A disaster event. Um, like that, right? A disaster event. Um, like that, right? A disaster event. Um, you know, cuz I remember Apple did you know, cuz I remember Apple did you know, cuz I remember Apple did something. something. something. Um, Um, Um, there was a lot of stuff that was going there was a lot of stuff that was going there was a lot of stuff that was going I'm, you know, I have everything down on I'm, you know, I have everything down on I'm, you know, I have everything down on notes. It's just, I mean, it's we're notes. It's just, I mean, it's we're notes. It's just, I mean, it's we're going on seven years, right? going on seven years, right? going on seven years, right? >> Yeah. >> Yeah. >> Yeah. >> Uh, since the pandemic um, broke out. >> Uh, since the pandemic um, broke out. >> Uh, since the pandemic um, broke out. >> Yeah. >> Yeah. >> Yeah. >> It's a lot of great thinking actually. >> It's a lot of great thinking actually. >> It's a lot of great thinking actually. And a lot of Arabia. Yeah. remember the And a lot of Arabia. Yeah. remember the And a lot of Arabia. Yeah. remember the Yeah, I remember cobbling together some Yeah, I remember cobbling together some Yeah, I remember cobbling together some Android app for Bluetooth, you know, and Android app for Bluetooth, you know, and Android app for Bluetooth, you know, and saying, "Okay, this person's got it. saying, "Okay, this person's got it. saying, "Okay, this person's got it. This or this one's had it." And when This or this one's had it." And when This or this one's had it." And when you're in Bluetooth range, and then you're in Bluetooth range, and then you're in Bluetooth range, and then ultimately, you know, both Apple and and ultimately, you know, both Apple and and ultimately, you know, both Apple and and Google Android baked that stuff into the Google Android baked that stuff into the Google Android baked that stuff into the OS. OS. OS. >> Yeah. >> Yeah. >> Yeah. >> For the >> For the >> For the >> for that whole tracking detection. Did >> for that whole tracking detection. Did >> for that whole tracking detection. Did you walk did you come within 10 ft or you walk did you come within 10 ft or you walk did you come within 10 ft or what? Bluetooth range basically, what? Bluetooth range basically, what? Bluetooth range basically, >> you know, of someone who's been exposed >> you know, of someone who's been exposed >> you know, of someone who's been exposed to CO. Yeah.

to CO. Yeah. to CO. Yeah. >> Yeah. Yeah. And then done anonym, you >> Yeah. Yeah. And then done anonym, you >> Yeah. Yeah. And then done anonym, you know, with anonymized data, which was know, with anonymized data, which was know, with anonymized data, which was great. I mean, if but those are the great. I mean, if but those are the great. I mean, if but those are the types of things that uh even in a types of things that uh even in a types of things that uh even in a disaster event, you want to make sure disaster event, you want to make sure disaster event, you want to make sure you have those types of privacy you have those types of privacy you have those types of privacy protections still as intact as much as protections still as intact as much as protections still as intact as much as possible. Do you know what I'm saying? possible. Do you know what I'm saying? possible. Do you know what I'm saying? because there that value of shared data, because there that value of shared data, because there that value of shared data, knowing where people are, you know, all knowing where people are, you know, all knowing where people are, you know, all this um network API related stuff where this um network API related stuff where this um network API related stuff where you can um you know um track and you can um you know um track and you can um you know um track and determine how many people are in a determine how many people are in a determine how many people are in a certain area. Do you know what I'm certain area. Do you know what I'm certain area. Do you know what I'm saying? Connected to your network XYZ. saying? Connected to your network XYZ. saying? Connected to your network XYZ. being able to share that information in being able to share that information in being able to share that information in uh consent uh authorized and uh you know uh consent uh authorized and uh you know uh consent uh authorized and uh you know privacy protected way. Uh right. Those privacy protected way. Uh right. Those privacy protected way. Uh right. Those are those are those are important and are those are those are important and are those are those are important and maybe [clears throat] even for a certain maybe [clears throat] even for a certain maybe [clears throat] even for a certain time being able to release certain time being able to release certain time being able to release certain customer information to support um you customer information to support um you customer information to support um you know uh emergency service uh know uh emergency service uh know uh emergency service uh intelligence for that moment and then intelligence for that moment and then intelligence for that moment and then you can rescend it, right? I mean you can rescend it, right? I mean you can rescend it, right? I mean >> yeah there's there's a lot of things to >> yeah there's there's a lot of things to >> yeah there's there's a lot of things to think through and yeah it's like what think through and yeah it's like what think through and yeah it's like what we've we always see everyone thinks that we've we always see everyone thinks that we've we always see everyone thinks that tech is magic, right? But then when you tech is magic, right? But then when you tech is magic, right? But then when you when you're one of the implementers, when you're one of the implementers, when you're one of the implementers, guys like uh freaking Bill who are in guys like uh freaking Bill who are in guys like uh freaking Bill who are in the gap of the ugly, you see a the gap of the ugly, you see a the gap of the ugly, you see a completely different story, right? I completely different story, right? I completely different story, right? I mean, I think that's why we get so mean, I think that's why we get so mean, I think that's why we get so um maybe frustrated [clears throat] um maybe frustrated [clears throat] um maybe frustrated [clears throat] with hype narratives is because we know

with hype narratives is because we know with hype narratives is because we know that it's not that easy. We know well no that it's not that easy. We know well no that it's not that easy. We know well no these are the dependencies and none of these are the dependencies and none of these are the dependencies and none of these are there. So what you're these are there. So what you're these are there. So what you're imagining in terms of your sci-fi use imagining in terms of your sci-fi use imagining in terms of your sci-fi use case, it's not possible or you're case, it's not possible or you're case, it's not possible or you're misattributing the type of technology misattributing the type of technology misattributing the type of technology that would, you know, enable that kind that would, you know, enable that kind that would, you know, enable that kind of uh solution. So um of uh solution. So um of uh solution. So um >> go >> go >> go >> all that. >> all that. >> all that. >> Yeah. >> Yeah. >> Yeah. >> You know what I'm saying? >> You know what I'm saying? >> You know what I'm saying? >> I don't know what you're saying. I don't >> I don't know what you're saying. I don't >> I don't know what you're saying. I don't know. I think you're just rambling. know. I think you're just rambling. know. I think you're just rambling. >> Bust into my Damon way mode there. You >> Bust into my Damon way mode there. You >> Bust into my Damon way mode there. You know the living know the living know the living >> be good. >> be good. >> be good. I think his name is Anton, right? Is he I think his name is Anton, right? Is he I think his name is Anton, right? Is he Anton? Anton? Anton? >> What about a Aon? You know >> What about a Aon? You know >> What about a Aon? You know >> what's Jquelen? Never mind. [laughter] >> what's Jquelen? Never mind. [laughter] >> what's Jquelen? Never mind. [laughter] >> I'm thinking of another skit from he and >> I'm thinking of another skit from he and >> I'm thinking of another skit from he and Peele. Peele. Peele. >> Yeah. >> Yeah. >> Yeah. >> Yeah. Did you ever see that one? >> Yeah. Did you ever see that one? >> Yeah. Did you ever see that one? >> Say is you watch too much TV [laughter] >> Say is you watch too much TV [laughter] >> Say is you watch too much TV [laughter] back in the day, man. back in the day, man. back in the day, man. >> Yeah. Back in the day. Could have been >> Yeah. Back in the day. Could have been >> Yeah. Back in the day. Could have been yesterday.

yesterday. yesterday. >> Yeah. >> Yeah. >> Yeah. >> Yeah. We watched a lot of football >> Yeah. We watched a lot of football >> Yeah. We watched a lot of football yesterday, obviously, as you might yesterday, obviously, as you might yesterday, obviously, as you might imagine. Um, you know, so one thing I imagine. Um, you know, so one thing I imagine. Um, you know, so one thing I did over the holidays and I need to do a did over the holidays and I need to do a did over the holidays and I need to do a lot more. Time flip by really fast. lot more. Time flip by really fast. lot more. Time flip by really fast. [snorts] Speaking of database stuff and [snorts] Speaking of database stuff and [snorts] Speaking of database stuff and TSQL and all that stuff. Um, so in 2024, TSQL and all that stuff. Um, so in 2024, TSQL and all that stuff. Um, so in 2024, I guess, uh, in the spring, you know, I guess, uh, in the spring, you know, I guess, uh, in the spring, you know, I'd cobbled together kind of an MVP of I'd cobbled together kind of an MVP of I'd cobbled together kind of an MVP of just smart buildings, smart property just smart buildings, smart property just smart buildings, smart property kind of deal to model bu campus kind of deal to model bu campus kind of deal to model bu campus buildings, floors, skyscrapers, and then buildings, floors, skyscrapers, and then buildings, floors, skyscrapers, and then rooms and all that stuff in there. And rooms and all that stuff in there. And rooms and all that stuff in there. And you have IoT devices and everything, and you have IoT devices and everything, and you have IoT devices and everything, and you're bringing all that to life. So, you're bringing all that to life. So, you're bringing all that to life. So, you're modeling that. And I' I'd always you're modeling that. And I' I'd always you're modeling that. And I' I'd always thought like, gosh, you I'd love to just thought like, gosh, you I'd love to just thought like, gosh, you I'd love to just expand the scope of that a little bit to expand the scope of that a little bit to expand the scope of that a little bit to just be a real smart city kind of thing just be a real smart city kind of thing just be a real smart city kind of thing to model cities. Um, which, you know, to model cities. Um, which, you know, to model cities. Um, which, you know, seems like a lot. Um, you know, cuz, you seems like a lot. Um, you know, cuz, you seems like a lot. Um, you know, cuz, you know, on the one hand, you can think of know, on the one hand, you can think of know, on the one hand, you can think of the, you know, the Russian doll or the, you know, the Russian doll or the, you know, the Russian doll or whatever. It's like, you know, city, whatever. It's like, you know, city, whatever. It's like, you know, city, property, whatever, building, floors, property, whatever, building, floors, property, whatever, building, floors, room, room, room, >> you know, >> you know, >> you know, >> the smart city babushka doll. Is that >> the smart city babushka doll. Is that >> the smart city babushka doll. Is that weird?

weird? weird? >> Yeah, it's like a smart city babushka >> Yeah, it's like a smart city babushka >> Yeah, it's like a smart city babushka doll. That's what I was thinking. Um, doll. That's what I was thinking. Um, doll. That's what I was thinking. Um, but speaking of database specific things but speaking of database specific things but speaking of database specific things though, as soon as you're start talking though, as soon as you're start talking though, as soon as you're start talking about like a thing like a municipality, about like a thing like a municipality, about like a thing like a municipality, um, and then you got streets and you got um, and then you got streets and you got um, and then you got streets and you got [snorts] intersections and stop lights [snorts] intersections and stop lights [snorts] intersections and stop lights and you have electrical grids and you've and you have electrical grids and you've and you have electrical grids and you've got sewer systems and you got all this got sewer systems and you got all this got sewer systems and you got all this stuff and it's like how much do you want stuff and it's like how much do you want stuff and it's like how much do you want to of that do you want to take on and to of that do you want to take on and to of that do you want to take on and have it be, you know, is it going to be have it be, you know, is it going to be have it be, you know, is it going to be the most comprehensive thing ever? which the most comprehensive thing ever? which the most comprehensive thing ever? which I know other companies have built stuff I know other companies have built stuff I know other companies have built stuff like this. But speaking of database like this. But speaking of database like this. But speaking of database stuff, all of a sudden I was like, "Oh, stuff, all of a sudden I was like, "Oh, stuff, all of a sudden I was like, "Oh, it's more than just GPS coordinates, a it's more than just GPS coordinates, a it's more than just GPS coordinates, a point for a place. I need to know point for a place. I need to know point for a place. I need to know polygons, the shape, the weird shape of polygons, the shape, the weird shape of polygons, the shape, the weird shape of properties or weird shape of a city or properties or weird shape of a city or properties or weird shape of a city or things like that." And so things like that." And so things like that." And so >> yeah, >> yeah, >> yeah, >> so this is your uncle Billy here from >> so this is your uncle Billy here from >> so this is your uncle Billy here from Love Actually telling you to you might Love Actually telling you to you might Love Actually telling you to you might have to use some built-in GIS type have to use some built-in GIS type have to use some built-in GIS type functions or spatial data types that are functions or spatial data types that are functions or spatial data types that are built in to different databases. Of built in to different databases. Of built in to different databases. Of course, they're all unique to that course, they're all unique to that course, they're all unique to that particular database. Um SQL Server has particular database. Um SQL Server has particular database. Um SQL Server has something like called geometry. Uh something like called geometry. Uh something like called geometry. Uh >> yeah, >> yeah, >> yeah, >> Postgress has Postgress GIS. Uh I forgot >> Postgress has Postgress GIS. Uh I forgot >> Postgress has Postgress GIS. Uh I forgot what Oracles is called. Uh, my SQL has what Oracles is called. Uh, my SQL has what Oracles is called. Uh, my SQL has their own. But anyway, this is just some their own. But anyway, this is just some their own. But anyway, this is just some random obscure nerd things, but since random obscure nerd things, but since random obscure nerd things, but since we're all computer nerds here, if you we're all computer nerds here, if you we're all computer nerds here, if you were going to do a legit smart city were going to do a legit smart city were going to do a legit smart city system, step one, before you bring it to

system, step one, before you bring it to system, step one, before you bring it to life with devices and cars moving and life with devices and cars moving and life with devices and cars moving and all that stuff, you actually have to all that stuff, you actually have to all that stuff, you actually have to model the whole thing first, right? And model the whole thing first, right? And model the whole thing first, right? And so, and you can't model a city without so, and you can't model a city without so, and you can't model a city without having polygon geometry showing the having polygon geometry showing the having polygon geometry showing the weirdness of the border, the boundaries weirdness of the border, the boundaries weirdness of the border, the boundaries of that city. Or if you're going to say, of that city. Or if you're going to say, of that city. Or if you're going to say, oh, I also want to call out areas or oh, I also want to call out areas or oh, I also want to call out areas or neighborhoods within a city, you also neighborhoods within a city, you also neighborhoods within a city, you also have to neighborhoods are strangely have to neighborhoods are strangely have to neighborhoods are strangely shaped, right? shaped, right? shaped, right? >> You know, and so did I when did I drive >> You know, and so did I when did I drive >> You know, and so did I when did I drive into a neighborhood or an area of that into a neighborhood or an area of that into a neighborhood or an area of that city and when did I drive out? city and when did I drive out? city and when did I drive out? Everything is not just a perfect box, Everything is not just a perfect box, Everything is not just a perfect box, right? right? right? >> Yeah. >> Yeah. >> Yeah. >> You know, or a circle. It's uh it looks >> You know, or a circle. It's uh it looks >> You know, or a circle. It's uh it looks like a gerrymandered political district. like a gerrymandered political district. like a gerrymandered political district. [laughter] [laughter] [laughter] >> You know what, dude? Dude, you are so >> You know what, dude? Dude, you are so >> You know what, dude? Dude, you are so you're so spot on, man. Um so, as so, you're so spot on, man. Um so, as so, you're so spot on, man. Um so, as so, you know, there's a lot of folks talking you know, there's a lot of folks talking you know, there's a lot of folks talking about 6G in like really weird ways. um about 6G in like really weird ways. um about 6G in like really weird ways. um they're I think kind of gratuitously they're I think kind of gratuitously they're I think kind of gratuitously tipping a hat to um ISAC [clears throat] tipping a hat to um ISAC [clears throat] tipping a hat to um ISAC [clears throat] or ESAC, you know, integrated sensing or ESAC, you know, integrated sensing or ESAC, you know, integrated sensing and communications, which makes and communications, which makes and communications, which makes basically the the cellular network a basically the the cellular network a basically the the cellular network a sensor, right? But this whole concept of sensor, right? But this whole concept of sensor, right? But this whole concept of spatial computing um where you're you spatial computing um where you're you spatial computing um where you're you are bringing that kind of dimension into are bringing that kind of dimension into are bringing that kind of dimension into whatever it is that you're trying to whatever it is that you're trying to whatever it is that you're trying to build in terms of an application having build in terms of an application having build in terms of an application having that kind of IoT capability because I

that kind of IoT capability because I that kind of IoT capability because I mean that is what ISAC does is it makes mean that is what ISAC does is it makes mean that is what ISAC does is it makes the network an IoT sensor of some sort the network an IoT sensor of some sort the network an IoT sensor of some sort right but get being able to get that right but get being able to get that right but get being able to get that fidelity that you're talking about um fidelity that you're talking about um fidelity that you're talking about um because all you really you need is a because all you really you need is a because all you really you need is a point cloud, right? You just need to point cloud, right? You just need to point cloud, right? You just need to know the geometry of certain things that know the geometry of certain things that know the geometry of certain things that is not just a box on the map, but taking is not just a box on the map, but taking is not just a box on the map, but taking things to the next level where uh you things to the next level where uh you things to the next level where uh you can monitor the spatial condition or can monitor the spatial condition or can monitor the spatial condition or configuration or dimensions of things in configuration or dimensions of things in configuration or dimensions of things in an environment and that I think that can an environment and that I think that can an environment and that I think that can do a lot. um like even for the network do a lot. um like even for the network do a lot. um like even for the network being able to estimate where blockages being able to estimate where blockages being able to estimate where blockages might be um rather than just going off might be um rather than just going off might be um rather than just going off of a static um let's say uh you know 3D of a static um let's say uh you know 3D of a static um let's say uh you know 3D map, right? Cuz a lot of those things I map, right? Cuz a lot of those things I map, right? Cuz a lot of those things I mean if you ever notice you go to Google mean if you ever notice you go to Google mean if you ever notice you go to Google Maps and you go to um the what is it the Maps and you go to um the what is it the Maps and you go to um the what is it the the real view or whatever it's called?

the real view or whatever it's called? the real view or whatever it's called? Um satellite view. [clears throat] Um satellite view. [clears throat] Um satellite view. [clears throat] You look at your house and it's like a You look at your house and it's like a You look at your house and it's like a snapshot from like two three years ago, snapshot from like two three years ago, snapshot from like two three years ago, right? That help. But the cellular right? That help. But the cellular right? That help. But the cellular network can enhance uh the fidelity of network can enhance uh the fidelity of network can enhance uh the fidelity of your digital twin for let's say a city, your digital twin for let's say a city, your digital twin for let's say a city, right? Where you are going to have a lot right? Where you are going to have a lot right? Where you are going to have a lot of um you know coverage and uh you know of um you know coverage and uh you know of um you know coverage and uh you know dense coverage. uh that could give you dense coverage. uh that could give you dense coverage. uh that could give you that type of visibility to the physical that type of visibility to the physical that type of visibility to the physical the spatial characteristics of your the spatial characteristics of your the spatial characteristics of your entire city to contribute to it adds entire city to contribute to it adds entire city to contribute to it adds that dimension of information to your that dimension of information to your that dimension of information to your digital twin. Do you know what I'm digital twin. Do you know what I'm digital twin. Do you know what I'm saying? Which would otherwise be super saying? Which would otherwise be super saying? Which would otherwise be super difficult to acquire and typically these difficult to acquire and typically these difficult to acquire and typically these days is acquired through um you know days is acquired through um you know days is acquired through um you know computer vision of some sort, right? and computer vision of some sort, right? and computer vision of some sort, right? and then extrapolations off of you know then extrapolations off of you know then extrapolations off of you know graphical files and this ridiculous graphical files and this ridiculous graphical files and this ridiculous process. So dude you I mean as you were process. So dude you I mean as you were process. So dude you I mean as you were describing that you you triggered a describing that you you triggered a describing that you you triggered a thought because I have been thinking thought because I have been thinking thought because I have been thinking about what the hell you would you do about what the hell you would you do about what the hell you would you do with Isac.

with Isac. with Isac. >> You got triggered. >> You got triggered. >> You got triggered. >> Yeah I get triggered anytime someone >> Yeah I get triggered anytime someone >> Yeah I get triggered anytime someone says 6G says 6G says 6G >> only [laughter] >> only [laughter] >> only [laughter] coffee talk dude serious coffee talk dude serious coffee talk dude serious >> seriously >> seriously >> seriously >> you have to go to 7G now. So with >> you have to go to 7G now. So with >> you have to go to 7G now. So with >> yes >> yes >> yes >> it's I mean this is related to an >> it's I mean this is related to an >> it's I mean this is related to an exchange we had on LinkedIn Rob as well exchange we had on LinkedIn Rob as well exchange we had on LinkedIn Rob as well because we're describing some of the the because we're describing some of the the because we're describing some of the the foundational aspect of digital twin what foundational aspect of digital twin what foundational aspect of digital twin what what Jenna just said which is missing is what Jenna just said which is missing is what Jenna just said which is missing is the fidelity aspect you know what level the fidelity aspect you know what level the fidelity aspect you know what level of fidelity do you have what people of fidelity do you have what people of fidelity do you have what people don't get because you can actually start don't get because you can actually start don't get because you can actually start with a low fidelity very high level with a low fidelity very high level with a low fidelity very high level digital twin for some cases digital twin for some cases digital twin for some cases >> and some others you need to very high >> and some others you need to very high >> and some others you need to very high level of fidelity level of fidelity level of fidelity >> that's what trigger but I think the the >> that's what trigger but I think the the >> that's what trigger but I think the the the challenge in in this you know the challenge in in this you know the challenge in in this you know concept of having more and more sensors concept of having more and more sensors concept of having more and more sensors to create those better digital to create those better digital to create those better digital representation representation representation related to your discussion on database related to your discussion on database related to your discussion on database Rob as well is I I still believe that Rob as well is I I still believe that Rob as well is I I still believe that we're lacking the fundamental when I we're lacking the fundamental when I we're lacking the fundamental when I started working on digital twin at at G started working on digital twin at at G started working on digital twin at at G when you were at at that time Rob my when you were at at that time Rob my when you were at at that time Rob my first thinking was well the analogy is first thinking was well the analogy is first thinking was well the analogy is SQL and SQL is a very interesting SQL and SQL is a very interesting SQL and SQL is a very interesting concept in the sense that you have the concept in the sense that you have the concept in the sense that you have the modeling language which is a description modeling language which is a description modeling language which is a description of the table and then you the query and of the table and then you the query and of the table and then you the query and they are both standardized. We don't they are both standardized. We don't they are both standardized. We don't have that in the world of digital twins.

have that in the world of digital twins. have that in the world of digital twins. So there isn't a way to universally So there isn't a way to universally So there isn't a way to universally query digital twin system query digital twin system query digital twin system >> or even model them. So this is why it's >> or even model them. So this is why it's >> or even model them. So this is why it's so fragmented in this whole especially so fragmented in this whole especially so fragmented in this whole especially in industrial IoT because there's no in industrial IoT because there's no in industrial IoT because there's no such kind of a homogeneous language and such kind of a homogeneous language and such kind of a homogeneous language and because it's mostly system integration because it's mostly system integration because it's mostly system integration based all the actors in this ecosystem based all the actors in this ecosystem based all the actors in this ecosystem have no interest actually in using the have no interest actually in using the have no interest actually in using the same language. same language. same language. >> Well yeah um >> Well yeah um >> Well yeah um >> you know my whole life is about trying >> you know my whole life is about trying >> you know my whole life is about trying to make everything work with SQL. to make everything work with SQL. to make everything work with SQL. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. No, no. I I'm I'm being I'm being silly No, no. I I'm I'm being I'm being silly No, no. I I'm I'm being I'm being silly and I'm being silly and serious at the and I'm being silly and serious at the and I'm being silly and serious at the same time. You know, over the years, same time. You know, over the years, same time. You know, over the years, we've all had to learn different we've all had to learn different we've all had to learn different programming languages and languages get programming languages and languages get programming languages and languages get hot and then they go away and different hot and then they go away and different hot and then they go away and different ones are hot and you got to use this. ones are hot and you got to use this. ones are hot and you got to use this. But SQL is the only thing that's stayed But SQL is the only thing that's stayed But SQL is the only thing that's stayed true over the decades. And you know, I true over the decades. And you know, I true over the decades. And you know, I remember, you know, when the whole No remember, you know, when the whole No remember, you know, when the whole No SQL thing came out or data lakes came SQL thing came out or data lakes came SQL thing came out or data lakes came out and you know, all that stuff and out and you know, all that stuff and out and you know, all that stuff and Hive and Peg and all that. And I Hive and Peg and all that. And I Hive and Peg and all that. And I remember just typical people in IT and remember just typical people in IT and remember just typical people in IT and businesses, they're like, I don't know businesses, they're like, I don't know businesses, they're like, I don't know how to use any of that stuff. The only how to use any of that stuff. The only how to use any of that stuff. The only thing I know is SQL thing I know is SQL thing I know is SQL and you know, how do I, you know, and and you know, how do I, you know, and and you know, how do I, you know, and I'm not saying everyone should go learn I'm not saying everyone should go learn I'm not saying everyone should go learn SQL, but at least that was the only SQL, but at least that was the only SQL, but at least that was the only thing that seemed common thread over the thing that seemed common thread over the thing that seemed common thread over the decades.

decades. decades. >> No, but I I I can't agree more. And I >> No, but I I I can't agree more. And I >> No, but I I I can't agree more. And I think that as I just kind of alluded to, think that as I just kind of alluded to, think that as I just kind of alluded to, it is because it is a construct that it is because it is a construct that it is because it is a construct that carry both data and metadata. So you carry both data and metadata. So you carry both data and metadata. So you have the ability to model and then query have the ability to model and then query have the ability to model and then query using the model. So it is fundamentally using the model. So it is fundamentally using the model. So it is fundamentally something you don't have that in pretty something you don't have that in pretty something you don't have that in pretty much any other languages. You know that much any other languages. You know that much any other languages. You know that there's kind of the your what is model there's kind of the your what is model there's kind of the your what is model view controller construct which is view controller construct which is view controller construct which is associated some languages but it's very associated some languages but it's very associated some languages but it's very weak. It's just three dimension model weak. It's just three dimension model weak. It's just three dimension model view controller. It's it's not as view controller. It's it's not as view controller. It's it's not as sophisticated. So SQL as a thought sophisticated. So SQL as a thought sophisticated. So SQL as a thought exercise that's why I would say exercise that's why I would say exercise that's why I would say everybody should learn it because then everybody should learn it because then everybody should learn it because then you learn oh there's the modeling you learn oh there's the modeling you learn oh there's the modeling part part part >> and then there is the usability part and >> and then there is the usability part and >> and then there is the usability part and if I have both this is something if I have both this is something if I have both this is something extremely powerful extremely powerful extremely powerful >> you know what's funny is it it really is >> you know what's funny is it it really is >> you know what's funny is it it really is like the original no code like the original no code like the original no code >> right no because you're not really >> right no because you're not really >> right no because you're not really coding right you're not really coding coding right you're not really coding coding right you're not really coding people think people think people think >> well you could you could do logic like >> well you could you could do logic like >> well you could you could do logic like if you remember back in 90s.

if you remember back in 90s. if you remember back in 90s. >> That was the agentic extension of that >> That was the agentic extension of that >> That was the agentic extension of that where he where he where he >> Oh, nice. [laughter] >> Oh, nice. [laughter] >> Oh, nice. [laughter] >> He just triggered me. He used aentic. >> He just triggered me. He used aentic. >> He just triggered me. He used aentic. >> Come on, Nard. Come on. No. We were 26 >> Come on, Nard. Come on. No. We were 26 >> Come on, Nard. Come on. No. We were 26 minutes in the show. We hadn't mentioned minutes in the show. We hadn't mentioned minutes in the show. We hadn't mentioned freaking AI. Drop a gentic now. freaking AI. Drop a gentic now. freaking AI. Drop a gentic now. >> You're an analyst, man. >> You're an analyst, man. >> You're an analyst, man. >> Dude, get with the times. It's 2026, >> Dude, get with the times. It's 2026, >> Dude, get with the times. It's 2026, bro. [laughter] No. Just say no. bro. [laughter] No. Just say no. bro. [laughter] No. Just say no. >> My object My new year resolution is harm >> My object My new year resolution is harm >> My object My new year resolution is harm as much AI as possible this year. as much AI as possible this year. as much AI as possible this year. >> Yes. Fire phasers. Yeah, >> Yes. Fire phasers. Yeah, >> Yes. Fire phasers. Yeah, >> if you think about code and you know >> if you think about code and you know >> if you think about code and you know thinking you know SQL was you could thinking you know SQL was you could thinking you know SQL was you could build complicated business logic in SQL build complicated business logic in SQL build complicated business logic in SQL back in the '90s it was very common for back in the '90s it was very common for back in the '90s it was very common for you to put all your business logic in you to put all your business logic in you to put all your business logic in stored procedures stored procedures stored procedures >> um and and not you know before we got to >> um and and not you know before we got to >> um and and not you know before we got to this three tier four tier intier this three tier four tier intier this three tier four tier intier applications that got hot after we were applications that got hot after we were applications that got hot after we were breaking away from just plain old client breaking away from just plain old client breaking away from just plain old client server you know uh and at earlier times server you know uh and at earlier times server you know uh and at earlier times but when it was just client server. Not but when it was just client server. Not but when it was just client server. Not only did people put tons of business only did people put tons of business only did people put tons of business logic in SQL store procedures, but they logic in SQL store procedures, but they logic in SQL store procedures, but they also derived better performance. It also derived better performance. It also derived better performance. It turns out that database was more turns out that database was more turns out that database was more powerful than your code ever could be.

powerful than your code ever could be. powerful than your code ever could be. Um, and we saw that all the time and Um, and we saw that all the time and Um, and we saw that all the time and then I saw and then you saw these big then I saw and then you saw these big then I saw and then you saw these big projects. I think it was also with the projects. I think it was also with the projects. I think it was also with the rise of Java, you know, and things like rise of Java, you know, and things like rise of Java, you know, and things like that and people started going, okay, that and people started going, okay, that and people started going, okay, we're, you know, am I going to use we're, you know, am I going to use we're, you know, am I going to use Corba? am I gonna use uh RMI or whatever Corba? am I gonna use uh RMI or whatever Corba? am I gonna use uh RMI or whatever it was or you know it was or you know it was or you know >> and to have this end tier thing and it's >> and to have this end tier thing and it's >> and to have this end tier thing and it's like you should pull all that logic out like you should pull all that logic out like you should pull all that logic out of your store procedures and put it in a of your store procedures and put it in a of your store procedures and put it in a middle tier right middle tier right middle tier right [laughter] [laughter] [laughter] >> and so you're going to have your client >> and so you're going to have your client >> and so you're going to have your client and this middle tier with business logic and this middle tier with business logic and this middle tier with business logic and then there's the database and guess and then there's the database and guess and then there's the database and guess what happened it that while it what happened it that while it what happened it that while it abstracted the logic and you could point abstracted the logic and you could point abstracted the logic and you could point to different databases which is good the to different databases which is good the to different databases which is good the performance just tanked performance just tanked performance just tanked The performance sucked. The performance sucked. The performance sucked. >> Hey, don't say that. Don't say that. >> Hey, don't say that. Don't say that. >> Hey, don't say that. Don't say that. Otherwise, you know, Agentic, the MTP Otherwise, you know, Agentic, the MTP Otherwise, you know, Agentic, the MTP stuff is going to go down the toilet. stuff is going to go down the toilet. stuff is going to go down the toilet. Come on, man. Come on, man. Come on, man. >> You're down with MCP. >> You're down with MCP. >> You're down with MCP. You know [laughter] me. Yeah, You know [laughter] me. Yeah, You know [laughter] me. Yeah, >> we need We need a multi-tier MCP >> we need We need a multi-tier MCP >> we need We need a multi-tier MCP architecture.

architecture. architecture. >> N [laughter] >> N [laughter] >> N [laughter] tier. tier. tier. >> We're We're going to be just like the >> We're We're going to be just like the >> We're We're going to be just like the way brothers. that make up new way brothers. that make up new way brothers. that make up new architectures that sound plausible and architectures that sound plausible and architectures that sound plausible and people will I guarantee people will go people will I guarantee people will go people will I guarantee people will go oh tell me more where can I read about oh tell me more where can I read about oh tell me more where can I read about this where's the blueprints this where's the blueprints this where's the blueprints >> yeah exactly >> yeah exactly >> yeah exactly >> well you know that's what you know there >> well you know that's what you know there >> well you know that's what you know there is none that's why it's called end tier is none that's why it's called end tier is none that's why it's called end tier or exterior [laughter] it depends right or exterior [laughter] it depends right or exterior [laughter] it depends right >> depends yeah so >> depends yeah so >> depends yeah so >> and we even used triggers back in the >> and we even used triggers back in the >> and we even used triggers back in the day day day >> it's it's interesting because this is >> it's it's interesting because this is >> it's it's interesting because this is related to your your initial discussion related to your your initial discussion related to your your initial discussion about smart cities because in the end about smart cities because in the end about smart cities because in the end it's a network thing. it's a network thing. it's a network thing. >> These are things that are connected. >> These are things that are connected. >> These are things that are connected. >> Yeah. >> Yeah. >> Yeah. >> Yeah. But going going back >> Yeah. But going going back >> Yeah. But going going back >> what's hard about smart hard about smart >> what's hard about smart hard about smart >> what's hard about smart hard about smart cities, you want everything to be in a cities, you want everything to be in a cities, you want everything to be in a nice box or or concentric circles or nice box or or concentric circles or nice box or or concentric circles or something, you know, city, neighborhood, something, you know, city, neighborhood, something, you know, city, neighborhood, property, building, floors, whatever. property, building, floors, whatever. property, building, floors, whatever. But the but then you have these other But the but then you have these other But the but then you have these other things that traverse the whole city and things that traverse the whole city and things that traverse the whole city and break through these weird arbitrary break through these weird arbitrary break through these weird arbitrary barriers, streets, pipelines, electrical barriers, streets, pipelines, electrical barriers, streets, pipelines, electrical grids, uh fiber optic cable, and they're grids, uh fiber optic cable, and they're grids, uh fiber optic cable, and they're going all over the place and it's it's going all over the place and it's it's going all over the place and it's it's messy.

messy. messy. >> Yeah. Yeah. Um but >> Yeah. Yeah. Um but >> Yeah. Yeah. Um but remember I don't know what I haven't I remember I don't know what I haven't I remember I don't know what I haven't I haven't follow up with these guys in a haven't follow up with these guys in a haven't follow up with these guys in a long time but remember the industry IoT long time but remember the industry IoT long time but remember the industry IoT consortium or um what is it the OMG they consortium or um what is it the OMG they consortium or um what is it the OMG they had they started the digital twin had they started the digital twin had they started the digital twin consortium. consortium. consortium. >> Yeah. >> Yeah. >> Yeah. >> Uh so they they tried to create uh a uh >> Uh so they they tried to create uh a uh >> Uh so they they tried to create uh a uh common ontology for digital twins. So, I common ontology for digital twins. So, I common ontology for digital twins. So, I think that's kind of like what you're think that's kind of like what you're think that's kind of like what you're you're you're you're suggesting is that missing link, right? suggesting is that missing link, right? suggesting is that missing link, right? Or are you talking about something Or are you talking about something Or are you talking about something different, Demetri? different, Demetri? different, Demetri? >> Yeah, >> Yeah, >> Yeah, >> I don't even know where all that stuff >> I don't even know where all that stuff >> I don't even know where all that stuff went, but really tough to do that. went, but really tough to do that. went, but really tough to do that. >> My opinion of this consortium is usually >> My opinion of this consortium is usually >> My opinion of this consortium is usually they they are created and designed to they they are created and designed to they they are created and designed to create jobs for the people who are at create jobs for the people who are at create jobs for the people who are at the board of the consortium. [laughter] the board of the consortium. [laughter] the board of the consortium. [laughter] >> And by the way, by the way, look this >> And by the way, by the way, look this >> And by the way, by the way, look this specific one. Look at who was I don't specific one. Look at who was I don't specific one. Look at who was I don't know I haven't checked for a long time know I haven't checked for a long time know I haven't checked for a long time but look who was leading it is the guy but look who was leading it is the guy but look who was leading it is the guy that was leading G digital so I don't that was leading G digital so I don't that was leading G digital so I don't know know know >> yeah yeah go >> yeah yeah go >> yeah yeah go >> but I think that what they what they try >> but I think that what they what they try >> but I think that what they what they try to do is actually not restart from to do is actually not restart from to do is actually not restart from scratch like I want to create this scratch like I want to create this scratch like I want to create this common language easy to use they looked common language easy to use they looked common language easy to use they looked at everything that existed and try to at everything that existed and try to at everything that existed and try to create a framework for it create a framework for it create a framework for it >> which makes it extremely complicated the >> which makes it extremely complicated the >> which makes it extremely complicated the Europeans did something similar with the Europeans did something similar with the Europeans did something similar with the uh asset management shell or something uh asset management shell or something uh asset management shell or something like that but It's again it was looking like that but It's again it was looking like that but It's again it was looking at oh let's not try to create a new at oh let's not try to create a new at oh let's not try to create a new construct that is going to be simple for construct that is going to be simple for construct that is going to be simple for everybody and universal let's take what

everybody and universal let's take what everybody and universal let's take what everybody has and try to organize it everybody has and try to organize it everybody has and try to organize it under a framework so uh over under a framework so uh over under a framework so uh over >> yeah well I mean yeah I mean there's >> yeah well I mean yeah I mean there's >> yeah well I mean yeah I mean there's there's two things you can do you can there's two things you can do you can there's two things you can do you can either um standardize or create that either um standardize or create that either um standardize or create that middleware layer translation layer middleware layer translation layer middleware layer translation layer across everyone else's mess right that across everyone else's mess right that across everyone else's mess right that kind of ties the messes the different kind of ties the messes the different kind of ties the messes the different varieties of messes together and these varieties of messes together and these varieties of messes together and these efforts are always so [snorts] I don't efforts are always so [snorts] I don't efforts are always so [snorts] I don't know um always difficult for them to get know um always difficult for them to get know um always difficult for them to get traction right because most stakeholders traction right because most stakeholders traction right because most stakeholders they have their own mess that they have they have their own mess that they have they have their own mess that they have to deal with and standards only um to deal with and standards only um to deal with and standards only um provide so much utility unless you're provide so much utility unless you're provide so much utility unless you're going to unify everything you know like going to unify everything you know like going to unify everything you know like um what was it um like these customer um what was it um like these customer um what was it um like these customer 360 things that um I used to do back in 360 things that um I used to do back in 360 things that um I used to do back in the financial services consulting days the financial services consulting days the financial services consulting days um uh of my career, you know, trying to um uh of my career, you know, trying to um uh of my career, you know, trying to unify uh the customer information and unify uh the customer information and unify uh the customer information and account information for a bank, right, account information for a bank, right, account information for a bank, right, is freaking nightmare. I mean, it sounds is freaking nightmare. I mean, it sounds is freaking nightmare. I mean, it sounds easy. It's like, oh, you know, why can't easy. It's like, oh, you know, why can't easy. It's like, oh, you know, why can't why don't you just do it? Why don't you why don't you just do it? Why don't you why don't you just do it? Why don't you just throw it into like freaking uh uh just throw it into like freaking uh uh just throw it into like freaking uh uh Salesforce and or and be done with it?

Salesforce and or and be done with it? Salesforce and or and be done with it? Like, yeah, only if it was so easy. Like, yeah, only if it was so easy. Like, yeah, only if it was so easy. >> Yeah. Well, I mean, I I I won't mention >> Yeah. Well, I mean, I I I won't mention >> Yeah. Well, I mean, I I I won't mention the the firm name, but I remember a long the the firm name, but I remember a long the the firm name, but I remember a long night discussion with a with an analyst night discussion with a with an analyst night discussion with a with an analyst I liked very much. And I was actually I liked very much. And I was actually I liked very much. And I was actually preaching this idea of unifying, you preaching this idea of unifying, you preaching this idea of unifying, you know, the definition of digital twin and know, the definition of digital twin and know, the definition of digital twin and this kind of thing. And the guys told this kind of thing. And the guys told this kind of thing. And the guys told me, Dimmitri, dude, take the purchase me, Dimmitri, dude, take the purchase me, Dimmitri, dude, take the purchase order, the concept of a purchase order order, the concept of a purchase order order, the concept of a purchase order worldwide. Do you think there is a worldwide. Do you think there is a worldwide. Do you think there is a standard that is commonly applicable? standard that is commonly applicable? standard that is commonly applicable? >> There is. There must be. No, there >> There is. There must be. No, there >> There is. There must be. No, there isn't. Everybody has his own. And then isn't. Everybody has his own. And then isn't. Everybody has his own. And then we create kind of interfaces things. we create kind of interfaces things. we create kind of interfaces things. >> Yes. >> Yes. >> Yes. >> Purchase order. >> Purchase order. >> Purchase order. I mean you can define a universal I mean you can define a universal I mean you can define a universal purchase order in SQL in like three purchase order in SQL in like three purchase order in SQL in like three minutes. minutes. minutes. >> Yeah. >> Yeah. >> Yeah. >> Getting it adopted across the board and >> Getting it adopted across the board and >> Getting it adopted across the board and people agree that this is the way to do people agree that this is the way to do people agree that this is the way to do it. it. it. >> Oh, come on, dude. No. We solved that >> Oh, come on, dude. No. We solved that >> Oh, come on, dude. No. We solved that problem. There's EDI, man. EDI. problem. There's EDI, man. EDI. problem. There's EDI, man. EDI. >> No. EDI. >> No. EDI. >> No. EDI. >> No. No. What was the standard? There's a >> No. No. What was the standard? There's a >> No. No. What was the standard? There's a No, there's a stand. No, dude. Aribba No, there's a stand. No, dude. Aribba No, there's a stand. No, dude. Aribba Aribba is used globally. SAP basically Aribba is used globally. SAP basically Aribba is used globally. SAP basically has set the standard for nobody's like has set the standard for nobody's like has set the standard for nobody's like scratching their head wondering okay scratching their head wondering okay scratching their head wondering okay what is a schema for a uh you know an what is a schema for a uh you know an what is a schema for a uh you know an invoice or a purchase order or a or yeah invoice or a purchase order or a or yeah invoice or a purchase order or a or yeah I mean I mean I mean >> but it's the same thing as MCP the >> but it's the same thing as MCP the >> but it's the same thing as MCP the backend processing system have their own backend processing system have their own backend processing system have their own format and then you need a format and then you need a format and then you need a transformation transformation transformation >> no don't don't no but MTP is a different >> no don't don't no but MTP is a different >> no don't don't no but MTP is a different beast right uh that's you know I think

beast right uh that's you know I think beast right uh that's you know I think the you In terms of a construct, it's the you In terms of a construct, it's the you In terms of a construct, it's similar to what we've seen in the past, similar to what we've seen in the past, similar to what we've seen in the past, but it has its own problems. Do you know but it has its own problems. Do you know but it has its own problems. Do you know what I'm saying? It it you know this SQL what I'm saying? It it you know this SQL what I'm saying? It it you know this SQL was very specific and deterministic, was very specific and deterministic, was very specific and deterministic, right? You learn the language, right? right? You learn the language, right? right? You learn the language, right? You learn the schemas for whatever You learn the schemas for whatever You learn the schemas for whatever business domain that you're using a business domain that you're using a business domain that you're using a database application for and it's it it database application for and it's it it database application for and it's it it was deterministic. MCP is not right was deterministic. MCP is not right was deterministic. MCP is not right [clears throat] [clears throat] [clears throat] even for discovery or anything else. even for discovery or anything else. even for discovery or anything else. It's not because you're using It's not because you're using It's not because you're using human language. And the really weird human language. And the really weird human language. And the really weird thing is that you have to learn how to thing is that you have to learn how to thing is that you have to learn how to talk to something that is supposed to be talk to something that is supposed to be talk to something that is supposed to be smart. And these things are supposed to smart. And these things are supposed to smart. And these things are supposed to understand things um you know very understand things um you know very understand things um you know very specifically but they can't. Uh and I specifically but they can't. Uh and I specifically but they can't. Uh and I think that's one of the big uh issues think that's one of the big uh issues think that's one of the big uh issues with MCP or what people are going to with MCP or what people are going to with MCP or what people are going to discover in 2026 discover in 2026 discover in 2026 is oh okay this isn't like corba or you is oh okay this isn't like corba or you is oh okay this isn't like corba or you know stored procedures or you know know stored procedures or you know know stored procedures or you know triggers completely different triggers completely different triggers completely different >> the the challenge Leonard is not the MCP >> the the challenge Leonard is not the MCP >> the the challenge Leonard is not the MCP layer the challenge is the back end layer the challenge is the back end layer the challenge is the back end behind is expected to be deterministic behind is expected to be deterministic behind is expected to be deterministic and it is not because because now you and it is not because because now you and it is not because because now you have this AI layer on top on top of it have this AI layer on top on top of it have this AI layer on top on top of it when you go to database you go to when you go to database you go to when you go to database you go to database you have row and columns so it database you have row and columns so it database you have row and columns so it is very deterministic now you're talking is very deterministic now you're talking is very deterministic now you're talking you're calling to an agent so what I'm you're calling to an agent so what I'm you're calling to an agent so what I'm saying that the MCP is the kind of the saying that the MCP is the kind of the saying that the MCP is the kind of the the generalization of the the generalization of the the generalization of the interoperability but it doesn't do

interoperability but it doesn't do interoperability but it doesn't do anything about anything about anything about the back the back the back >> it it adds a semantic uh semantic layer >> it it adds a semantic uh semantic layer >> it it adds a semantic uh semantic layer that confu that can get confused it's that confu that can get confused it's that confu that can get confused it's nonspec it's not specific it's nonspec it's not specific it's nonspec it's not specific it's interpreted it's not it's not interpreted it's not it's not interpreted it's not it's not programmatic which is the problem, programmatic which is the problem, programmatic which is the problem, right? You um you can try to instill right? You um you can try to instill right? You um you can try to instill um you know uh logic but the the um you know uh logic but the the um you know uh logic but the the technology is not logical right and so technology is not logical right and so technology is not logical right and so this is why you're seeing Salesforce this is why you're seeing Salesforce this is why you're seeing Salesforce >> that's right Mr. It's not logical. >> that's right Mr. It's not logical. >> that's right Mr. It's not logical. [laughter] [laughter] [laughter] >> That's why you see Salesforce and these >> That's why you see Salesforce and these >> That's why you see Salesforce and these other other other scripting into their agentic frameworks. scripting into their agentic frameworks. scripting into their agentic frameworks. It's like they're they're discovering, It's like they're they're discovering, It's like they're they're discovering, oh my god, my [laughter] this thing is oh my god, my [laughter] this thing is oh my god, my [laughter] this thing is not reliable. So, we have to now embed, not reliable. So, we have to now embed, not reliable. So, we have to now embed, you know, code into it or at least you know, code into it or at least you know, code into it or at least enable our customers to embed code into enable our customers to embed code into enable our customers to embed code into directly into a freaking agent. That directly into a freaking agent. That directly into a freaking agent. That doesn't doesn't doesn't >> Yeah, but that's separate from the tool.

>> Yeah, but that's separate from the tool. >> Yeah, but that's separate from the tool. that's separate from the tool. Do you that's separate from the tool. Do you that's separate from the tool. Do you know what I'm saying? This know what I'm saying? This know what I'm saying? This [clears throat] is nonsense. It's weird. [clears throat] is nonsense. It's weird. [clears throat] is nonsense. It's weird. >> But I don't think that being logical or >> But I don't think that being logical or >> But I don't think that being logical or not logical is the problem. not logical is the problem. not logical is the problem. >> The problem is that when you ask twice >> The problem is that when you ask twice >> The problem is that when you ask twice the same question, you don't have twice the same question, you don't have twice the same question, you don't have twice the same answer. So it's really the the same answer. So it's really the the same answer. So it's really the determinist problem. Yeah. It's not determinist problem. Yeah. It's not determinist problem. Yeah. It's not >> you know what I liked uh the friend of >> you know what I liked uh the friend of >> you know what I liked uh the friend of mine Scott Hansselman. He's a he's a VP mine Scott Hansselman. He's a he's a VP mine Scott Hansselman. He's a he's a VP now at Microsoft. But yeah, he was now at Microsoft. But yeah, he was now at Microsoft. But yeah, he was always a evangelist, developer always a evangelist, developer always a evangelist, developer evangelist at Microsoft. And I love his evangelist at Microsoft. And I love his evangelist at Microsoft. And I love his quote that he put on LinkedIn. quote that he put on LinkedIn. quote that he put on LinkedIn. a couple days ago, a couple days ago, a couple days ago, you know, basically, you know, he's you know, basically, you know, he's you know, basically, you know, he's basically saying this is not the year of basically saying this is not the year of basically saying this is not the year of writing an AI agent. This is the year of writing an AI agent. This is the year of writing an AI agent. This is the year of writing small command line utilities writing small command line utilities writing small command line utilities that do a thing really, really well and that do a thing really, really well and that do a thing really, really well and then telling an agent about them. then telling an agent about them. then telling an agent about them. [laughter] It's just trying to be deterministic and It's just trying to be deterministic and get done and have things that get done and have things that get done and have things that people really want, you know. Um, you people really want, you know. Um, you people really want, you know. Um, you know, it's funny. know, it's funny. know, it's funny. >> Yeah. just rows and columns. Yeah, >> Yeah. just rows and columns. Yeah, >> Yeah. just rows and columns. Yeah, everybody talks about you know um you everybody talks about you know um you everybody talks about you know um you know loosely coupled not loosely coupled know loosely coupled not loosely coupled know loosely coupled not loosely coupled but you know the you know obviously but you know the you know obviously but you know the you know obviously instead of strongly typed and rows and instead of strongly typed and rows and instead of strongly typed and rows and columns it's just blobs of data and you columns it's just blobs of data and you columns it's just blobs of data and you know unstructured data and everything know unstructured data and everything know unstructured data and everything being the thing but you know what's being the thing but you know what's being the thing but you know what's really served us well is structured data really served us well is structured data really served us well is structured data and deterministic things like you and deterministic things like you and deterministic things like you mentioned you're just like financial mentioned you're just like financial mentioned you're just like financial services Leonard you know services Leonard you know services Leonard you know >> I always hated to believe this but it's >> I always hated to believe this but it's >> I always hated to believe this but it's true the financial services industry true the financial services industry true the financial services industry Wall Street, all that. They've always Wall Street, all that. They've always Wall Street, all that. They've always been the most advanced area of tech of

been the most advanced area of tech of been the most advanced area of tech of everybody. No matter what you believe everybody. No matter what you believe everybody. No matter what you believe around who's doing the most bleeding around who's doing the most bleeding around who's doing the most bleeding edge stuff, more money and more edge stuff, more money and more edge stuff, more money and more algorithms and more stuff is poured into algorithms and more stuff is poured into algorithms and more stuff is poured into what's going on in Wall Street than what's going on in Wall Street than what's going on in Wall Street than anywhere. It's insane. anywhere. It's insane. anywhere. It's insane. >> Yeah. and >> Yeah. and >> Yeah. and >> right >> right >> right >> and there and there and that's where we >> and there and there and that's where we >> and there and there and that's where we have Dimmitri's base databases and we have Dimmitri's base databases and we have Dimmitri's base databases and we have Oracle databases and we have have Oracle databases and we have have Oracle databases and we have mainframes and it maintains the entire mainframes and it maintains the entire mainframes and it maintains the entire global financial system based on global financial system based on global financial system based on strongly typed structured data and strongly typed structured data and strongly typed structured data and transactions on relational databases transactions on relational databases transactions on relational databases believe it or not uh and it works really believe it or not uh and it works really believe it or not uh and it works really really well you know and we're trying to really well you know and we're trying to really well you know and we're trying to screw it up screw it up screw it up >> mainframes dude come on mainframes >> mainframes dude come on mainframes >> mainframes dude come on mainframes because because because >> main frames today >> main frames today >> main frames today [laughter] Today mainframes do more IO [laughter] Today mainframes do more IO [laughter] Today mainframes do more IO than any other kind of computer. than any other kind of computer. than any other kind of computer. >> And by the way, if you want if you want >> And by the way, if you want if you want >> And by the way, if you want if you want to give an advice to kids like you know to give an advice to kids like you know to give an advice to kids like you know learn SQL the second thing you should learn SQL the second thing you should learn SQL the second thing you should learn is cobalt. [clears throat] learn is cobalt. [clears throat] learn is cobalt. [clears throat] >> Yes. Yes. >> Yes. Yes. >> Yes. Yes. >> Most of the world still runs on cobalt >> Most of the world still runs on cobalt >> Most of the world still runs on cobalt and guys are dying. and guys are dying. and guys are dying. They can program in cobalt. I mean, you They can program in cobalt. I mean, you They can program in cobalt. I mean, you know, like if we were talking to a co know, like if we were talking to a co know, like if we were talking to a co somebody who's working at Costco for 20 somebody who's working at Costco for 20 somebody who's working at Costco for 20 20 30 years, they'll probably tell you 20 30 years, they'll probably tell you 20 30 years, they'll probably tell you the best interface that they ever used the best interface that they ever used the best interface that they ever used uh to access their uh Costco systems for uh to access their uh Costco systems for uh to access their uh Costco systems for whatever membership for purchasing was a whatever membership for purchasing was a whatever membership for purchasing was a freaking green screen [laughter] right freaking green screen [laughter] right freaking green screen [laughter] right on their old main on their old main on their old main there's an MCP agent in front of it now.

there's an MCP agent in front of it now. there's an MCP agent in front of it now. It's better. [laughter] It's better. [laughter] It's better. [laughter] >> But you're right. How many stores do you >> But you're right. How many stores do you >> But you're right. How many stores do you go to and you look at it and it's go to and you look at it and it's go to and you look at it and it's command line or it's a green screen or command line or it's a green screen or command line or it's a green screen or it looks like DOSs or a Unix terminal? it looks like DOSs or a Unix terminal? it looks like DOSs or a Unix terminal? Yes. Yes. Yes. >> Everywhere. >> Everywhere. >> Everywhere. >> But guys, let's let's be honest. It's >> But guys, let's let's be honest. It's >> But guys, let's let's be honest. It's it's not all that green or beautiful it's not all that green or beautiful it's not all that green or beautiful because I'm sure you remember that all because I'm sure you remember that all because I'm sure you remember that all you all traveled a lot. You remember the you all traveled a lot. You remember the you all traveled a lot. You remember the days where you were going to airline days where you were going to airline days where you were going to airline check in or airline checks. They said, check in or airline checks. They said, check in or airline checks. They said, "Oh, I would like to change my seat." "Oh, I would like to change my seat." "Oh, I would like to change my seat." Oh, no problem, sir. Saber Saber >> and you wait like 10 minutes the person >> and you wait like 10 minutes the person >> and you wait like 10 minutes the person clicking clicking clicking to change clicking clicking clicking to change clicking clicking clicking to change your seats from aisle to window. your seats from aisle to window. your seats from aisle to window. >> It's worse now. It's worse now because >> It's worse now. It's worse now because >> It's worse now. It's worse now because they have to use a mouse, right? And they have to use a mouse, right? And they have to use a mouse, right? And back then they had like quick keys and back then they had like quick keys and back then they had like quick keys and like that was like like that was like like that was like >> they have to type a prompt now. I want >> they have to type a prompt now. I want >> they have to type a prompt now. I want you to act as a you to act as a you to act as a >> Exactly. [laughter] >> Exactly. [laughter] >> Exactly. [laughter] It's crazy. It's just crazy. But, you It's crazy. It's just crazy. But, you It's crazy. It's just crazy. But, you know, it's funny. I remember having know, it's funny. I remember having know, it's funny. I remember having flashbacks. So, like when I got started, flashbacks. So, like when I got started, flashbacks. So, like when I got started, the the big projects I did in the '90s the the big projects I did in the '90s the the big projects I did in the '90s were actually all trading platforms.

were actually all trading platforms. were actually all trading platforms. [clears throat] Um, [clears throat] Um, [clears throat] Um, >> yeah. >> yeah. >> yeah. >> First time I was doing one was with AIM >> First time I was doing one was with AIM >> First time I was doing one was with AIM mutual funds, which I think they got mutual funds, which I think they got mutual funds, which I think they got acquired by Invesco or whatever. And so, acquired by Invesco or whatever. And so, acquired by Invesco or whatever. And so, it was building a mutual fund trading it was building a mutual fund trading it was building a mutual fund trading system. And you're what what's what's system. And you're what what's what's system. And you're what what's what's stock trading? It's pattern matching. stock trading? It's pattern matching. stock trading? It's pattern matching. And it's bids and asks and hit a bid, And it's bids and asks and hit a bid, And it's bids and asks and hit a bid, lift and ask, all that kind of stuff and lift and ask, all that kind of stuff and lift and ask, all that kind of stuff and trading. And so I got to I was on a trading. And so I got to I was on a trading. And so I got to I was on a project to build the mutual fund deal project to build the mutual fund deal project to build the mutual fund deal for that and then I find myself at KICO for that and then I find myself at KICO for that and then I find myself at KICO doing an energy oil trading platform doing an energy oil trading platform doing an energy oil trading platform [laughter] [laughter] [laughter] >> you know and so it's not a it was a >> you know and so it's not a it was a >> you know and so it's not a it was a different comm it was a commodity as the different comm it was a commodity as the different comm it was a commodity as the instrument right in this case still instrument right in this case still instrument right in this case still pattern matching and doing stuff and pattern matching and doing stuff and pattern matching and doing stuff and then uh you know and then I was at uh then uh you know and then I was at uh then uh you know and then I was at uh true quote building an energy trading true quote building an energy trading true quote building an energy trading platform back in the whole when we were platform back in the whole when we were platform back in the whole when we were connected to Enron and the connected to Enron and the connected to Enron and the intercontinental exchange and Dina intercontinental exchange and Dina intercontinental exchange and Dina energy and and Duke energy and all that energy and and Duke energy and all that energy and and Duke energy and all that stuff in the early 2000s that led up to stuff in the early 2000s that led up to stuff in the early 2000s that led up to the collapse of Enron and uh Anderson the collapse of Enron and uh Anderson the collapse of Enron and uh Anderson and everything [laughter] else. and everything [laughter] else. and everything [laughter] else. >> So that was you.

>> So that was you. >> So that was you. >> That was me. Yeah. >> That was me. Yeah. >> That was me. Yeah. >> Code that you wrote. [laughter] >> Code that you wrote. [laughter] >> Code that you wrote. [laughter] >> Yeah, it was me. And also all the Enron >> Yeah, it was me. And also all the Enron >> Yeah, it was me. And also all the Enron people were running on Lotus nodes by people were running on Lotus nodes by people were running on Lotus nodes by the way. Um and they were actually the the way. Um and they were actually the the way. Um and they were actually the smartest people in the room. But uh but smartest people in the room. But uh but smartest people in the room. But uh but I remember years later when I was I remember years later when I was I remember years later when I was designing Lumata IoT stuff before I was designing Lumata IoT stuff before I was designing Lumata IoT stuff before I was really getting obsessed about digital really getting obsessed about digital really getting obsessed about digital twins. It just I I remember there was a twins. It just I I remember there was a twins. It just I I remember there was a time you know we were getting early time you know we were getting early time you know we were getting early versions of Lumata working. I remember versions of Lumata working. I remember versions of Lumata working. I remember selling some I was like selling some I was like selling some I was like we could use this for other things. This we could use this for other things. This we could use this for other things. This could be a a trading platform because it could be a a trading platform because it could be a a trading platform because it was doing the same stuff. was doing the same stuff. was doing the same stuff. >> It was it was pattern matching. There's >> It was it was pattern matching. There's >> It was it was pattern matching. There's telemetry coming in which could have telemetry coming in which could have telemetry coming in which could have been the telemetry coming in from Wall been the telemetry coming in from Wall been the telemetry coming in from Wall Street or from Enron about what trades Street or from Enron about what trades Street or from Enron about what trades are happening on on financial are happening on on financial are happening on on financial instruments, natural gas pip, you know, instruments, natural gas pip, you know, instruments, natural gas pip, you know, whatever. It's all the same thing. And whatever. It's all the same thing. And whatever. It's all the same thing. And it's like, you know, what do you want to it's like, you know, what do you want to it's like, you know, what do you want to do with it? Or we could have done do with it? Or we could have done do with it? Or we could have done algorithmic program trading. But I just algorithmic program trading. But I just algorithmic program trading. But I just remember I remember a day and I had a remember I remember a day and I had a remember I remember a day and I had a conversation. I was like, we could conversation. I was like, we could conversation. I was like, we could totally sell this thing to Wall Street.

totally sell this thing to Wall Street. totally sell this thing to Wall Street. It's not just an IoT thing. It's a It's not just an IoT thing. It's a It's not just an IoT thing. It's a pattern matching engine. pattern matching engine. pattern matching engine. >> Yeah. Yeah. >> Yeah. Yeah. >> Yeah. Yeah. >> And they were they were using expert >> And they were they were using expert >> And they were they were using expert systems long before you know um and systems long before you know um and systems long before you know um and decision engines decision engines decision engines uh even even for the customer service uh even even for the customer service uh even even for the customer service stuff right to drive event-based stuff right to drive event-based stuff right to drive event-based marketing consultative I I mean um yeah marketing consultative I I mean um yeah marketing consultative I I mean um yeah you're absolutely right man financial you're absolutely right man financial you're absolutely right man financial services. And if you think about it, services. And if you think about it, services. And if you think about it, everyone talks about how e-commerce was everyone talks about how e-commerce was everyone talks about how e-commerce was like the big thing that came out of the like the big thing that came out of the like the big thing that came out of the doctrade doctrade doctrade and freaking Schwab, eswab or whatever. and freaking Schwab, eswab or whatever. and freaking Schwab, eswab or whatever. The internet transformed financial The internet transformed financial The internet transformed financial financial services. It democratized financial services. It democratized financial services. It democratized everything, right? um you know you now everything, right? um you know you now everything, right? um you know you now look at like all like the likes of Robin look at like all like the likes of Robin look at like all like the likes of Robin Hood you know um no fee no fee Hood you know um no fee no fee Hood you know um no fee no fee transactions blah blah blah all these transactions blah blah blah all these transactions blah blah blah all these things they are the things that were things they are the things that were things they are the things that were completely um transformative coming out completely um transformative coming out completely um transformative coming out of the dot era that persisted if you of the dot era that persisted if you of the dot era that persisted if you think about it and so you're you're think about it and so you're you're think about it and so you're you're absolutely right man I mean and you and absolutely right man I mean and you and absolutely right man I mean and you and I and others who worked in the financial I and others who worked in the financial I and others who worked in the financial services sector at time and I did a I services sector at time and I did a I services sector at time and I did a I mean that's like when I was at PWC mean that's like when I was at PWC mean that's like when I was at PWC that's that was my sector assignment and that's that was my sector assignment and that's that was my sector assignment and I did a lot of stuff I did a lot of stuff I did a lot of stuff >> uh during the com era uh with financial >> uh during the com era uh with financial >> uh during the com era uh with financial services companies um and prior to that services companies um and prior to that services companies um and prior to that with you know like the likes of Infosek with you know like the likes of Infosek with you know like the likes of Infosek and you know Yahoo and all that right EY

and you know Yahoo and all that right EY and you know Yahoo and all that right EY but they yeah when you compare the the but they yeah when you compare the the but they yeah when you compare the the you know the neo.com companies were you know the neo.com companies were you know the neo.com companies were doing like fledgling stuff the more doing like fledgling stuff the more doing like fledgling stuff the more advanced things that that uh were being advanced things that that uh were being advanced things that that uh were being done with the web, right, and the done with the web, right, and the done with the web, right, and the internet were being done by the internet were being done by the internet were being done by the financial services companies. So, dude, financial services companies. So, dude, financial services companies. So, dude, yeah, totally, man. yeah, totally, man. yeah, totally, man. >> And remember, when you think about it, >> And remember, when you think about it, >> And remember, when you think about it, ultimately what we got to was rich, a ultimately what we got to was rich, a ultimately what we got to was rich, a rich web, a rich HTML where you could rich web, a rich HTML where you could rich web, a rich HTML where you could see grids see grids see grids >> and all your financial instruments and >> and all your financial instruments and >> and all your financial instruments and red, yellow, green, things going up, red, yellow, green, things going up, red, yellow, green, things going up, prices going up and down, all that kind prices going up and down, all that kind prices going up and down, all that kind of stuff. But in the early days, the of stuff. But in the early days, the of stuff. But in the early days, the early early web wasn't very good at that early early web wasn't very good at that early early web wasn't very good at that kind of stuff. And so we used we kind of stuff. And so we used we kind of stuff. And so we used we embedded Java applets embedded Java applets embedded Java applets >> into web pages. We embedded ActiveX >> into web pages. We embedded ActiveX >> into web pages. We embedded ActiveX controls into web pages. And we would controls into web pages. And we would controls into web pages. And we would stream data to the client to the stream data to the client to the stream data to the client to the browser. browser. browser. >> Yeah. and put it into that applet >> Yeah. and put it into that applet >> Yeah. and put it into that applet basically because the applet was the basically because the applet was the basically because the applet was the only thing that could do rich graphical only thing that could do rich graphical only thing that could do rich graphical interface until we you know then we got interface until we you know then we got interface until we you know then we got HTML 4 and then we then we got Ajax HTML 4 and then we then we got Ajax HTML 4 and then we then we got Ajax where you could make a call from a page where you could make a call from a page where you could make a call from a page right without refreshing the whole page.

right without refreshing the whole page. right without refreshing the whole page. Ajax was huge. Ajax was huge. Ajax was huge. >> Ajax was a gamecher actually. Um >> Ajax was a gamecher actually. Um >> Ajax was a gamecher actually. Um >> yeah and then you know obviously HTML 5 >> yeah and then you know obviously HTML 5 >> yeah and then you know obviously HTML 5 has been a game changer but that came a has been a game changer but that came a has been a game changer but that came a lot later you know lot later you know lot later you know >> unfortunately by that time I was a >> unfortunately by that time I was a >> unfortunately by that time I was a partner so I wasn't I wasn't in the partner so I wasn't I wasn't in the partner so I wasn't I wasn't in the weeds working with weeds working with weeds working with >> that was unfortunate cuz I loved all >> that was unfortunate cuz I loved all >> that was unfortunate cuz I loved all that um it that um it that um it >> was fun but >> was fun but >> was fun but >> yeah I I I knew because I had to manage >> yeah I I I knew because I had to manage >> yeah I I I knew because I had to manage uh teams and you know architects who uh teams and you know architects who uh teams and you know architects who were dealing with that stuff. So were dealing with that stuff. So were dealing with that stuff. So >> yeah and so for the longest time we were >> yeah and so for the longest time we were >> yeah and so for the longest time we were still building native apps for desktop still building native apps for desktop still building native apps for desktop PCs you know cuz like if you think about PCs you know cuz like if you think about PCs you know cuz like if you think about find you think of traders on the trading find you think of traders on the trading find you think of traders on the trading floor you know most of them have floor you know most of them have floor you know most of them have multiple screens right and it was back multiple screens right and it was back multiple screens right and it was back then it was not web based because web then it was not web based because web then it was not web based because web was just not fast or good enough so it's was just not fast or good enough so it's was just not fast or good enough so it's native apps and so it was either wind32 native apps and so it was either wind32 native apps and so it was either wind32 native apps that could do that or it was native apps that could do that or it was native apps that could do that or it was Java swing apps if you remember Java and Java swing apps if you remember Java and Java swing apps if you remember Java and the guey from swing the guey from swing the guey from swing >> components uh cuz that was the only way >> components uh cuz that was the only way >> components uh cuz that was the only way you could have rich interface that that you could have rich interface that that you could have rich interface that that was responsive and just as rich as a was responsive and just as rich as a was responsive and just as rich as a trader needed it to be. Yeah.

trader needed it to be. Yeah. trader needed it to be. Yeah. >> Yeah. >> Yeah. >> Yeah. >> The web was finally capable of doing >> The web was finally capable of doing >> The web was finally capable of doing that. Yeah. that. Yeah. that. Yeah. >> So, yeah, I I guess I'll have to correct >> So, yeah, I I guess I'll have to correct >> So, yeah, I I guess I'll have to correct myself here. It wasn't porn that made myself here. It wasn't porn that made myself here. It wasn't porn that made the internet go ballistic. It was the internet go ballistic. It was the internet go ballistic. It was actually financial services that drove a actually financial services that drove a actually financial services that drove a lot of the innovations you're talking lot of the innovations you're talking lot of the innovations you're talking about. Right. about. Right. about. Right. >> Push the envelope. I think we can >> Push the envelope. I think we can >> Push the envelope. I think we can argue about that argue about that argue about that >> did a different aspect drove a different >> did a different aspect drove a different >> did a different aspect drove a different aspect of innovation actually e-commerce aspect of innovation actually e-commerce aspect of innovation actually e-commerce and digital payments. and digital payments. and digital payments. >> Yeah. Yeah. >> Yeah. Yeah. >> Yeah. Yeah. >> E-commerce >> E-commerce >> E-commerce >> there is another industry which is which >> there is another industry which is which >> there is another industry which is which usually always also drive tons of usually always also drive tons of usually always also drive tons of innovation but it doesn't translate that innovation but it doesn't translate that innovation but it doesn't translate that much in society. It's the military. So much in society. It's the military. So much in society. It's the military. So to to to >> that's true. Yeah that's true. and and >> that's true. Yeah that's true. and and >> that's true. Yeah that's true. and and also potentially when there are but it also potentially when there are but it also potentially when there are but it doesn't seems to exist anymore nowadays doesn't seems to exist anymore nowadays doesn't seems to exist anymore nowadays but there were eras where the space but there were eras where the space but there were eras where the space conquest for instance you know in the in conquest for instance you know in the in conquest for instance you know in the in the 60s and 70s drove an enormous amount the 60s and 70s drove an enormous amount the 60s and 70s drove an enormous amount of innovation that the microwave was of innovation that the microwave was of innovation that the microwave was invented for space invented for space invented for space >> so >> so >> so a great point a great point a great point >> we don't seems to have those I said you >> we don't seems to have those I said you >> we don't seems to have those I said you know lifech changing or humanity know lifech changing or humanity know lifech changing or humanity changing global projects changing global projects changing global projects >> anymore and I think That's an issue >> anymore and I think That's an issue >> anymore and I think That's an issue related to the very opening session of related to the very opening session of related to the very opening session of this uh of this show is uh you know this uh of this show is uh you know this uh of this show is uh you know conflict of interest uh when you don't conflict of interest uh when you don't conflict of interest uh when you don't have leadership at the highest level have leadership at the highest level have leadership at the highest level that show discipline on that how do you that show discipline on that how do you that show discipline on that how do you expect people to understand expect people to understand expect people to understand >> and I'm not getting political about the >> and I'm not getting political about the >> and I'm not getting political about the US it's everywhere in the world now the US it's everywhere in the world now the US it's everywhere in the world now the the conflict of interest happens at very

the conflict of interest happens at very the conflict of interest happens at very very high level in our societies now and very high level in our societies now and very high level in our societies now and that's that's that's >> I mean yeah you're you're right I mean >> I mean yeah you're you're right I mean >> I mean yeah you're you're right I mean the problem with conflict of interest is the problem with conflict of interest is the problem with conflict of interest is that it undermines true innovation, what that it undermines true innovation, what that it undermines true innovation, what it does is it distracts the um flow of it does is it distracts the um flow of it does is it distracts the um flow of capital to things that are not capital to things that are not capital to things that are not substantial, right? Um and so, you know, substantial, right? Um and so, you know, substantial, right? Um and so, you know, this is probably what we're seeing now this is probably what we're seeing now this is probably what we're seeing now with in AI and what we'll probably see with in AI and what we'll probably see with in AI and what we'll probably see play out in 2026 cuz we before we end play out in 2026 cuz we before we end play out in 2026 cuz we before we end this episode cuz I have no idea how we this episode cuz I have no idea how we this episode cuz I have no idea how we got to where we are at this point in the got to where we are at this point in the got to where we are at this point in the conversation. It just like conversation. It just like conversation. It just like >> like every conversation >> like every conversation >> like every conversation >> and you know we have to do some >> and you know we have to do some >> and you know we have to do some predictions for the you know the new predictions for the you know the new predictions for the you know the new year. [snorts] Um but it it what with year. [snorts] Um but it it what with year. [snorts] Um but it it what with even with AI and what we see now even with AI and what we see now even with AI and what we see now happening with um China and the what happening with um China and the what happening with um China and the what China is accomplishing on the model China is accomplishing on the model China is accomplishing on the model front. front. front. Think about how much the narrative has Think about how much the narrative has Think about how much the narrative has changed from the beginning of last year.

changed from the beginning of last year. changed from the beginning of last year. inference flipped it. It's flipping everything. flipped it. It's flipping everything. And so what you were thinking last year, And so what you were thinking last year, And so what you were thinking last year, the beginning of last year, we're the beginning of last year, we're the beginning of last year, we're entering 2026 with a totally different entering 2026 with a totally different entering 2026 with a totally different situation. But the funny thing is most situation. But the funny thing is most situation. But the funny thing is most people don't know that. Um, and there's people don't know that. Um, and there's people don't know that. Um, and there's a thing that I co coined called AI a thing that I co coined called AI a thing that I co coined called AI continuous or continuous AI unlearning. continuous or continuous AI unlearning. continuous or continuous AI unlearning. You need to be good at understanding You need to be good at understanding You need to be good at understanding what you need to forget because whatever what you need to forget because whatever what you need to forget because whatever you believe right now is probably wrong you believe right now is probably wrong you believe right now is probably wrong because it was based on something you because it was based on something you because it was based on something you learned 2 years ago, 3 years ago on the learned 2 years ago, 3 years ago on the learned 2 years ago, 3 years ago on the surface about AI and the situation is surface about AI and the situation is surface about AI and the situation is totally ch changing and drifting. So um totally ch changing and drifting. So um totally ch changing and drifting. So um anyways um yeah and the the problem here anyways um yeah and the the problem here anyways um yeah and the the problem here is that when you do have all these is that when you do have all these is that when you do have all these conflicts of interest like the circular conflicts of interest like the circular conflicts of interest like the circular investment going on where you the investment going on where you the investment going on where you the governance is like just totally out of governance is like just totally out of governance is like just totally out of whack, right? The cross party governance whack, right? The cross party governance whack, right? The cross party governance is totally weird. um you're going to is totally weird. um you're going to is totally weird. um you're going to have other people who are focused on have other people who are focused on have other people who are focused on true innovation because they're true innovation because they're true innovation because they're constrained that will be able to um beat constrained that will be able to um beat constrained that will be able to um beat the dynamic that's playing out right now the dynamic that's playing out right now the dynamic that's playing out right now in the west with AI. Um because you know in the west with AI. Um because you know in the west with AI. Um because you know this whole idea that you need more this whole idea that you need more this whole idea that you need more infrastructure to do get better I think infrastructure to do get better I think infrastructure to do get better I think is the worst attitude to have about the

is the worst attitude to have about the is the worst attitude to have about the future of AI. I think it's more about future of AI. I think it's more about future of AI. I think it's more about how can you do better how can you do better how can you do better with less, right? And that's always been with less, right? And that's always been with less, right? And that's always been the winning formula. And um I think that the winning formula. And um I think that the winning formula. And um I think that these conflict of interests are these conflict of interests are these conflict of interests are preventing um the industry from preventing um the industry from preventing um the industry from understanding that is what the mindset understanding that is what the mindset understanding that is what the mindset that you should have is more for less, that you should have is more for less, that you should have is more for less, right? right? right? >> Instead, we're more for more. Yeah. I >> Instead, we're more for more. Yeah. I >> Instead, we're more for more. Yeah. I don't know how you be how do you how do don't know how you be how do you how do don't know how you be how do you how do you win with that? you win with that? you win with that? >> We need an energy crisis in order to win >> We need an energy crisis in order to win >> We need an energy crisis in order to win the AI AI race. the AI AI race. the AI AI race. >> But the the root cause is always the >> But the the root cause is always the >> But the the root cause is always the same and you you hear me rant about that same and you you hear me rant about that same and you you hear me rant about that several times. And to your example, Rob, several times. And to your example, Rob, several times. And to your example, Rob, when you're saying, "Oh, I was in when you're saying, "Oh, I was in when you're saying, "Oh, I was in financial institution. I was looking financial institution. I was looking financial institution. I was looking [clears throat] at pattern matching." [clears throat] at pattern matching." [clears throat] at pattern matching." So, you're telling me that investment is So, you're telling me that investment is So, you're telling me that investment is about pattern matching. So you're about pattern matching. So you're about pattern matching. So you're telling me that investment is not about telling me that investment is not about telling me that investment is not about understanding the business you're understanding the business you're understanding the business you're putting your money in and figuring out putting your money in and figuring out putting your money in and figuring out if it makes sense. No, it is not. It's if it makes sense. No, it is not. It's if it makes sense. No, it is not. It's about So until we change this narrative, about So until we change this narrative, about So until we change this narrative, this objective, the objective is not to this objective, the objective is not to this objective, the objective is not to make money with money. The objective is make money with money. The objective is make money with money. The objective is to do something good that will to do something good that will to do something good that will ultimately make money. Nothing good.

ultimately make money. Nothing good. ultimately make money. Nothing good. >> Well, that's a good point, Dimmitri, >> Well, that's a good point, Dimmitri, >> Well, that's a good point, Dimmitri, because we have two sides of the because we have two sides of the because we have two sides of the spectrum when we think about stock spectrum when we think about stock spectrum when we think about stock trading, right? trading, right? trading, right? You [clears throat] have actual You [clears throat] have actual You [clears throat] have actual investors that are in there for the long investors that are in there for the long investors that are in there for the long haul or they're value investors like haul or they're value investors like haul or they're value investors like Warren Buffett and Phil, you know, Warren Buffett and Phil, you know, Warren Buffett and Phil, you know, Benjamin Graham, you know, and you got Benjamin Graham, you know, and you got Benjamin Graham, you know, and you got all these other kind and then you have all these other kind and then you have all these other kind and then you have technical traders, technical analysis technical traders, technical analysis technical traders, technical analysis that are all they're doing is looking at that are all they're doing is looking at that are all they're doing is looking at the pattern matching and the graphs and the pattern matching and the graphs and the pattern matching and the graphs and charts and they don't care anything charts and they don't care anything charts and they don't care anything about the business at all. about the business at all. about the business at all. >> Yeah. >> Yeah. >> Yeah. >> Even know what it is because it's all >> Even know what it is because it's all >> Even know what it is because it's all electronic. So, and that's that's a electronic. So, and that's that's a electronic. So, and that's that's a problem. So and also I do believe I problem. So and also I do believe I problem. So and also I do believe I probably said that on the show as well probably said that on the show as well probably said that on the show as well is that the one of the big issue is that is that the one of the big issue is that is that the one of the big issue is that when you invest money you have no when you invest money you have no when you invest money you have no responsibility. The [snorts] only thing responsibility. The [snorts] only thing responsibility. The [snorts] only thing that can happen is you lose it. I always that can happen is you lose it. I always that can happen is you lose it. I always take the example of Volkswagen. take the example of Volkswagen. take the example of Volkswagen. Volkswagen polluted the planet and Volkswagen polluted the planet and Volkswagen polluted the planet and killed monkeys with their diesel crap killed monkeys with their diesel crap killed monkeys with their diesel crap for 10 years. For 10 years what for 10 years. For 10 years what for 10 years. For 10 years what happened? The stock went down for one happened? The stock went down for one happened? The stock went down for one quarter. We fire a bunch of executive quarter. We fire a bunch of executive quarter. We fire a bunch of executive and then two quarters later everything and then two quarters later everything and then two quarters later everything was back. The people that make tons was back. The people that make tons was back. The people that make tons sheet of money for 10 years during those sheet of money for 10 years during those sheet of money for 10 years during those years of bad things, years of bad things, years of bad things, >> what happened to them? Nothing.

>> what happened to them? Nothing. >> what happened to them? Nothing. >> Yeah. Yeah. >> Yeah. Yeah. >> Yeah. Yeah. >> So as soon as we find a way where you >> So as soon as we find a way where you >> So as soon as we find a way where you have actually and and I always take this have actually and and I always take this have actually and and I always take this analogy, if you're an architect and you analogy, if you're an architect and you analogy, if you're an architect and you build a house, you make you don't build build a house, you make you don't build build a house, you make you don't build the house, you make the blueprint and the house, you make the blueprint and the house, you make the blueprint and somebody builds the house according to somebody builds the house according to somebody builds the house according to the blueprint and the house collapse. I the blueprint and the house collapse. I the blueprint and the house collapse. I don't know how it works in the US, but don't know how it works in the US, but don't know how it works in the US, but in France you have a responsibility for in France you have a responsibility for in France you have a responsibility for 10 years. So you have to get an 10 years. So you have to get an 10 years. So you have to get an insurance and save money because for 10 insurance and save money because for 10 insurance and save money because for 10 years you did the blueprint, somebody years you did the blueprint, somebody years you did the blueprint, somebody build the house, the thing collapsed, build the house, the thing collapsed, build the house, the thing collapsed, you have a responsibility. you have a responsibility. you have a responsibility. >> Put this mechanism like that in >> Put this mechanism like that in >> Put this mechanism like that in investments, the world changes investments, the world changes investments, the world changes overnight. overnight. overnight. >> Yeah. It it drives diligence. Yeah. >> Yeah. It it drives diligence. Yeah. >> Yeah. It it drives diligence. Yeah. >> So basically what you're saying is >> So basically what you're saying is >> So basically what you're saying is >> all those executives, >> all those executives, >> all those executives, they basically just adhere to the Gordon they basically just adhere to the Gordon they basically just adhere to the Gordon Gecko greed is good philosophy. Well, Gecko greed is good philosophy. Well, Gecko greed is good philosophy. Well, but but no, but what I'm saying that the but but no, but what I'm saying that the but but no, but what I'm saying that the counter point is that I'm not blaming counter point is that I'm not blaming counter point is that I'm not blaming the executives and actually the reason the executives and actually the reason the executives and actually the reason why the executive gets those golden why the executive gets those golden why the executive gets those golden parachutes is because they carry the parachutes is because they carry the parachutes is because they carry the responsibility for all the other responsibility for all the other responsibility for all the other investor during that time frame that investor during that time frame that investor during that time frame that made money and will not have any impact made money and will not have any impact made money and will not have any impact on them.

on them. on them. [snorts] The problem is not in the [snorts] The problem is not in the [snorts] The problem is not in the executive. The problem is in the mass of executive. The problem is in the mass of executive. The problem is in the mass of investors investors investors >> anyway it is the way. >> anyway it is the way. >> anyway it is the way. >> Wow. I put something on your body. But >> Wow. I put something on your body. But >> Wow. I put something on your body. But but that that that's that could be the but that that that's that could be the but that that that's that could be the >> I mean it could very well be the result >> I mean it could very well be the result >> I mean it could very well be the result of the democratization of um of the democratization of um of the democratization of um [clears throat] the investment you know [clears throat] the investment you know [clears throat] the investment you know going back to Erade and you know Robin going back to Erade and you know Robin going back to Erade and you know Robin Hood and then now this emergence of meme Hood and then now this emergence of meme Hood and then now this emergence of meme u trading and uh you know I think a lot u trading and uh you know I think a lot u trading and uh you know I think a lot of these things have just basically made of these things have just basically made of these things have just basically made uh the stock market into casinos right uh the stock market into casinos right uh the stock market into casinos right um and there's a departure from um and there's a departure from um and there's a departure from fundamental fundamental fundamental It's more about like what Rob was It's more about like what Rob was It's more about like what Rob was talking about um trading on the talking about um trading on the talking about um trading on the technicals which is what crypto is. technicals which is what crypto is. technicals which is what crypto is. Nobody talks about fundamentals Nobody talks about fundamentals Nobody talks about fundamentals uh on crypto. They go well you know we uh on crypto. They go well you know we uh on crypto. They go well you know we went down today and uh we think that it went down today and uh we think that it went down today and uh we think that it could be this or that or like dude just could be this or that or like dude just could be this or that or like dude just shut up you have no shut up you have no shut up you have no >> there's no fundamentals. there's no >> there's no fundamentals. there's no >> there's no fundamentals. there's no business behind it. You're just trading business behind it. You're just trading business behind it. You're just trading on technicals, right? And then there's on technicals, right? And then there's on technicals, right? And then there's um and you know the uncomfortable truth um and you know the uncomfortable truth um and you know the uncomfortable truth for these guys is there's only a handful for these guys is there's only a handful for these guys is there's only a handful of people who own almost all of it and of people who own almost all of it and of people who own almost all of it and they have an outweighed influence on they have an outweighed influence on they have an outweighed influence on what happens with these markets, right?

what happens with these markets, right? what happens with these markets, right? And when you consider that it's probably And when you consider that it's probably And when you consider that it's probably Russia, North Korea, [laughter] Russia, North Korea, [laughter] Russia, North Korea, [laughter] and China and China and China >> and the Winkle Boss twins, >> and the Winkle Boss twins, >> and the Winkle Boss twins, >> patriotic duty [laughter] >> patriotic duty [laughter] >> patriotic duty [laughter] by [clears throat] by [clears throat] by [clears throat] >> Oh my god. Yeah. Um and it's turning out >> Oh my god. Yeah. Um and it's turning out >> Oh my god. Yeah. Um and it's turning out to be quite true. I mean if you you know to be quite true. I mean if you you know to be quite true. I mean if you you know one of the things that I I've noticed is one of the things that I I've noticed is one of the things that I I've noticed is this is that [snorts] um in terms of this is that [snorts] um in terms of this is that [snorts] um in terms of volume uh since it inception uh crypto volume uh since it inception uh crypto volume uh since it inception uh crypto uh there's been almost $40 trillion in uh there's been almost $40 trillion in uh there's been almost $40 trillion in volume that has passed through cryp uh volume that has passed through cryp uh volume that has passed through cryp uh bitcoin just bitcoin bitcoin just bitcoin bitcoin just bitcoin and it's only reached 1.7 trillion and it's only reached 1.7 trillion and it's only reached 1.7 trillion [clears throat] in um [clears throat] in um [clears throat] in um in u market cap or even I think it's in u market cap or even I think it's in u market cap or even I think it's lower now it's like 1.5. Think about lower now it's like 1.5. Think about lower now it's like 1.5. Think about that for a moment. When these bozos get that for a moment. When these bozos get that for a moment. When these bozos get on and and start talking about how it's on and and start talking about how it's on and and start talking about how it's a store of value, a store of value, a store of value, really, really, really, you're telling me that you have, you're telling me that you have, you're telling me that you have, you know, $40 trillion that have you know, $40 trillion that have you know, $40 trillion that have transacted through this thing transacted through this thing transacted through this thing [clears throat] in 10 years or 15 years.

[clears throat] in 10 years or 15 years. [clears throat] in 10 years or 15 years. and and and you know you have to and and and you know you have to and and and you know you have to remember that the volume of that remember that the volume of that remember that the volume of that happened recently in the ne last couple happened recently in the ne last couple happened recently in the ne last couple of years before that crypto was I mean of years before that crypto was I mean of years before that crypto was I mean Bitcoin was like what a couple of cents Bitcoin was like what a couple of cents Bitcoin was like what a couple of cents so you're not not going to get to a so you're not not going to get to a so you're not not going to get to a trillion in the early uh early um days trillion in the early uh early um days trillion in the early uh early um days of Bitcoin this is all happening now $40 of Bitcoin this is all happening now $40 of Bitcoin this is all happening now $40 trillion trillion trillion is that a store of value that's not a is that a store of value that's not a is that a store of value that's not a store a store of value means that It's store a store of value means that It's store a store of value means that It's going up. People are putting money in going up. People are putting money in going up. People are putting money in and then they are investing in crypto. and then they are investing in crypto. and then they are investing in crypto. What about this 40 trillion that's just What about this 40 trillion that's just What about this 40 trillion that's just kind of going through? kind of going through? kind of going through? >> Move it around. [laughter] >> Move it around. [laughter] >> Move it around. [laughter] >> Do you think it's as arbitrary as gold >> Do you think it's as arbitrary as gold >> Do you think it's as arbitrary as gold or silver? or silver? or silver? >> No. >> No. >> No. >> You know what? That's the beauty of >> You know what? That's the beauty of >> You know what? That's the beauty of gold. You cannot do that with gold gold. You cannot do that with gold gold. You cannot do that with gold because you have to lift that up because you have to lift that up because you have to lift that up and ship it somewhere. and ship it somewhere. and ship it somewhere. >> You can touch it and you can use it to >> You can touch it and you can use it to >> You can touch it and you can use it to do things. Uh which is probably the do things. Uh which is probably the do things. Uh which is probably the reason why the Chinese are trying to reason why the Chinese are trying to reason why the Chinese are trying to hoard as much gold as possible because hoard as much gold as possible because hoard as much gold as possible because >> what we've seen over the last several >> what we've seen over the last several >> what we've seen over the last several years, gold has skyrocketed and silver years, gold has skyrocketed and silver years, gold has skyrocketed and silver is at the highest heights it's ever is at the highest heights it's ever is at the highest heights it's ever been.

been. been. >> Rare earths are a big deal. Yeah. Things >> Rare earths are a big deal. Yeah. Things >> Rare earths are a big deal. Yeah. Things that rare. that rare. that rare. >> And what does that what does that tell >> And what does that what does that tell >> And what does that what does that tell you when you see gold and silver going you when you see gold and silver going you when you see gold and silver going like that? It means there's a whole lot like that? It means there's a whole lot like that? It means there's a whole lot of people that are nervous about the of people that are nervous about the of people that are nervous about the economy. Um and that's their hedge economy. Um and that's their hedge economy. Um and that's their hedge against a possible coming collapse that against a possible coming collapse that against a possible coming collapse that they're worried about. And then it was they're worried about. And then it was they're worried about. And then it was like tanking. like tanking. like tanking. >> Yeah. >> Yeah. >> Yeah. >> And then you know, of course, it doesn't >> And then you know, of course, it doesn't >> And then you know, of course, it doesn't know where to go because nobody know where to go because nobody know where to go because nobody fundamentally knows, [laughter] fundamentally knows, [laughter] fundamentally knows, [laughter] >> right? And so there's >> right? And so there's >> right? And so there's >> stuff there >> stuff there >> stuff there >> every time someone >> every time someone >> every time someone >> every time a retail investor hears >> every time a retail investor hears >> every time a retail investor hears someone mention AI bubble, they go buy someone mention AI bubble, they go buy someone mention AI bubble, they go buy another bar of gold [laughter] another bar of gold [laughter] another bar of gold [laughter] to protect them. to protect them. to protect them. >> Well, I mean, I think it's it's the >> Well, I mean, I think it's it's the >> Well, I mean, I think it's it's the perfect representation of the the perfect representation of the the perfect representation of the the stupidity of humanity. So because the stupidity of humanity. So because the stupidity of humanity. So because the other thing that if you think about it other thing that if you think about it other thing that if you think about it the the amount of energy it requires to the the amount of energy it requires to the the amount of energy it requires to make this whole thing work and uh and if make this whole thing work and uh and if make this whole thing work and uh and if you think about it because in order for you think about it because in order for you think about it because in order for people not to cheat we've invented a people not to cheat we've invented a people not to cheat we've invented a system where we have to waste an system where we have to waste an system where we have to waste an enormous amount of calculation so that enormous amount of calculation so that enormous amount of calculation so that the next block can be mined in 10 the next block can be mined in 10 the next block can be mined in 10 minutes so that it can be safe. So think minutes so that it can be safe. So think minutes so that it can be safe. So think about it. Think about how stupid think about it. Think about how stupid think about it. Think about how stupid think about how stupid this is because we about how stupid this is because we about how stupid this is because we can't trust the transaction between can't trust the transaction between can't trust the transaction between people. We end up having this gigantic people. We end up having this gigantic people. We end up having this gigantic computing things running to find this computing things running to find this computing things running to find this lock thing. That's if you think about it lock thing. That's if you think about it lock thing. That's if you think about it philosophically, you should be depressed philosophically, you should be depressed philosophically, you should be depressed for the whole year.

for the whole year. for the whole year. >> Nah, I'm depressed. Yeah, but um yeah, >> Nah, I'm depressed. Yeah, but um yeah, >> Nah, I'm depressed. Yeah, but um yeah, let's so let's make some bright spot let's so let's make some bright spot let's so let's make some bright spot predictions before we close out this predictions before we close out this predictions before we close out this rather depressing [clears throat] rather depressing [clears throat] rather depressing [clears throat] kickoff to the new year IoT conf. kickoff to the new year IoT conf. kickoff to the new year IoT conf. >> Well, I I'm going to I think it's >> Well, I I'm going to I think it's >> Well, I I'm going to I think it's difficult, but I'm going to stand what I difficult, but I'm going to stand what I difficult, but I'm going to stand what I said in the beginning of the show. I said in the beginning of the show. I said in the beginning of the show. I think what people should do this year is think what people should do this year is think what people should do this year is harm AI. And by harming, I mean use it harm AI. And by harming, I mean use it harm AI. And by harming, I mean use it at his limits. Don't trust it at what it at his limits. Don't trust it at what it at his limits. Don't trust it at what it is, but stress test it. learn how to is, but stress test it. learn how to is, but stress test it. learn how to stress test it and learn how it works stress test it and learn how it works stress test it and learn how it works because and I have my I I think I post because and I have my I I think I post because and I have my I I think I post on LinkedIn I have my new matter on LinkedIn I have my new matter on LinkedIn I have my new matter actually uh matter actually don't think actually uh matter actually don't think actually uh matter actually don't think we should stop I'm going to stop calling we should stop I'm going to stop calling we should stop I'm going to stop calling this AI it's not artificial intelligence this AI it's not artificial intelligence this AI it's not artificial intelligence it's a measurement between artificial it's a measurement between artificial it's a measurement between artificial nonsense and artificial cleverness nonsense and artificial cleverness nonsense and artificial cleverness we are not near in artificial we are not near in artificial we are not near in artificial intelligence maybe one day so your AI is intelligence maybe one day so your AI is intelligence maybe one day so your AI is my my my >> Yan Yan Lun will agree with you your >> Yan Yan Lun will agree with you your >> Yan Yan Lun will agree with you your fellow country guy. fellow country guy. fellow country guy. >> It's true. >> It's true. >> It's true. >> Yeah.

>> Yeah. >> Yeah. >> True. You know, >> True. You know, >> True. You know, >> by the way, the I love the artificial >> by the way, the I love the artificial >> by the way, the I love the artificial cleverness term. I didn't coin it. cleverness term. I didn't coin it. cleverness term. I didn't coin it. Somebody I don't remember who, but I Somebody I don't remember who, but I Somebody I don't remember who, but I think it's a great way because those think it's a great way because those think it's a great way because those things can be clever at points, but it's things can be clever at points, but it's things can be clever at points, but it's not intelligence yet. not intelligence yet. not intelligence yet. >> It's not just mimicking things. It's >> It's not just mimicking things. It's >> It's not just mimicking things. It's >> And it's often a artificial nonsense. >> And it's often a artificial nonsense. >> And it's often a artificial nonsense. >> Yeah. Right. Every all these big >> Yeah. Right. Every all these big >> Yeah. Right. Every all these big companies have gone all in on it though, companies have gone all in on it though, companies have gone all in on it though, haven't they? haven't they? haven't they? >> Yeah. And every analyst I know is >> Yeah. And every analyst I know is >> Yeah. And every analyst I know is pumping it and saying it's the future pumping it and saying it's the future pumping it and saying it's the future and it's Agentic. Everyone is. Every and it's Agentic. Everyone is. Every and it's Agentic. Everyone is. Every leader of every analyst firm is all in leader of every analyst firm is all in leader of every analyst firm is all in with Agentic AI. with Agentic AI. with Agentic AI. >> Even if in the back of their minds they >> Even if in the back of their minds they >> Even if in the back of their minds they might go or this might all be might go or this might all be might go or this might all be [laughter] >> but we make money in time. >> but we make money in time. [clears throat] [clears throat] [clears throat] >> Yeah. When Yeah. That that that's that's >> Yeah. When Yeah. That that that's that's >> Yeah. When Yeah. That that that's that's the way it is. I mean, you know, if I the way it is. I mean, you know, if I the way it is. I mean, you know, if I think they'd be doing a better service think they'd be doing a better service think they'd be doing a better service to their clients if they just were to their clients if they just were to their clients if they just were straight up and gave them uh guard rails straight up and gave them uh guard rails straight up and gave them uh guard rails and filters to filter out the BS, right?

and filters to filter out the BS, right? and filters to filter out the BS, right? Otherwise, you know, their clients are Otherwise, you know, their clients are Otherwise, you know, their clients are going to waste money. You know what I'm going to waste money. You know what I'm going to waste money. You know what I'm saying? Um, so anyways, saying? Um, so anyways, saying? Um, so anyways, >> this is actually a great point >> this is actually a great point >> this is actually a great point >> of interest. >> of interest. >> of interest. >> This is a great point, Le. I think the >> This is a great point, Le. I think the >> This is a great point, Le. I think the the old analy community should switch to the old analy community should switch to the old analy community should switch to here are the tools to filter the BS. here are the tools to filter the BS. here are the tools to filter the BS. Yeah, I mean there are are there are Yeah, I mean there are are there are Yeah, I mean there are are there are ways to get safer um AI. ways to get safer um AI. ways to get safer um AI. Uh it it's it just looks nothing like Uh it it's it just looks nothing like Uh it it's it just looks nothing like what a lot of the consulting firms and what a lot of the consulting firms and what a lot of the consulting firms and vendors are shopping out there. Um it's vendors are shopping out there. Um it's vendors are shopping out there. Um it's complicated and it's multi-dommain. When complicated and it's multi-dommain. When complicated and it's multi-dommain. When you just look at like let's say how to you just look at like let's say how to you just look at like let's say how to secure a LLM secure a LLM secure a LLM um for enterprise use, um for enterprise use, um for enterprise use, wow, it's really really complicated and wow, it's really really complicated and wow, it's really really complicated and there's a lot of you literally have to there's a lot of you literally have to there's a lot of you literally have to secure things all the way up the stack secure things all the way up the stack secure things all the way up the stack from hardware all the way up to the from hardware all the way up to the from hardware all the way up to the application and whatever distributed application and whatever distributed application and whatever distributed application if you're networking this application if you're networking this application if you're networking this stuff the networking layer as well. So stuff the networking layer as well. So stuff the networking layer as well. So you have to have micro segmentation, you you have to have micro segmentation, you you have to have micro segmentation, you have to have uh you know software to have to have uh you know software to have to have uh you know software to define isolation. There's all these define isolation. There's all these define isolation. There's all these things that people haven't thought things that people haven't thought things that people haven't thought about. You know the um there's hints of about. You know the um there's hints of about. You know the um there's hints of it but no one's really st put this stuff it but no one's really st put this stuff it but no one's really st put this stuff together. And I'm going to I'm going to together. And I'm going to I'm going to together. And I'm going to I'm going to write a note about it um soon. Actually write a note about it um soon. Actually write a note about it um soon. Actually I should have wrote this like two years I should have wrote this like two years I should have wrote this like two years ago but um ago but um ago but um >> I'm going to give you two predictions >> I'm going to give you two predictions >> I'm going to give you two predictions that will not come true.

that will not come true. that will not come true. >> Okay. Um, prediction number one, >> Okay. Um, prediction number one, >> Okay. Um, prediction number one, [clears throat] [clears throat] [clears throat] >> all these big companies who've laid off >> all these big companies who've laid off >> all these big companies who've laid off so many employees will wake up and so many employees will wake up and so many employees will wake up and realize that the AI they're replacing realize that the AI they're replacing realize that the AI they're replacing these employees with aren't working. these employees with aren't working. these employees with aren't working. They're not delivering what they thought They're not delivering what they thought They're not delivering what they thought it was. Uh, and they rehire all those it was. Uh, and they rehire all those it was. Uh, and they rehire all those employees. employees. employees. >> So, that's prediction number one, which >> So, that's prediction number one, which >> So, that's prediction number one, which won't come true [laughter] this year. >> Prediction number two, >> Prediction number two, >> bullet. Prediction number two to take >> bullet. Prediction number two to take >> bullet. Prediction number two to take care of all the laid-off people and the care of all the laid-off people and the care of all the laid-off people and the mass you know unemployment mass you know unemployment mass you know unemployment the US government and all the the US government and all the the US government and all the governments of the world will institute governments of the world will institute governments of the world will institute this universal basic income to take care this universal basic income to take care this universal basic income to take care of people in this tough times of of people in this tough times of of people in this tough times of transition where we go from dystopia to transition where we go from dystopia to transition where we go from dystopia to abundance we know is coming and so uh abundance we know is coming and so uh abundance we know is coming and so uh UBI will go out there immediately it's UBI will go out there immediately it's UBI will go out there immediately it's going to happen this year and everyone's going to happen this year and everyone's going to happen this year and everyone's going to be taken care of and so we going to be taken care of and so we going to be taken care of and so we don't have mass unemployment and riots don't have mass unemployment and riots don't have mass unemployment and riots in the streets and burning down in the streets and burning down in the streets and burning down buildings and st cars and stuff like buildings and st cars and stuff like buildings and st cars and stuff like that. So my other prediction that also that. So my other prediction that also that. So my other prediction that also will not happen is that you universal will not happen is that you universal will not happen is that you universal basic income will be will come online in basic income will be will come online in basic income will be will come online in every country in the world this year to every country in the world this year to every country in the world this year to take care of humanity because people take care of humanity because people take care of humanity because people care more about the welfare of people care more about the welfare of people care more about the welfare of people than money and greed.

than money and greed. than money and greed. [laughter] >> Well, you can add universal healthcare >> Well, you can add universal healthcare to the to the to the >> You know what? Oh yes yes absolutely. >> You know what? Oh yes yes absolutely. >> You know what? Oh yes yes absolutely. Let's throw that in there. Universal Let's throw that in there. Universal Let's throw that in there. Universal healthare, every country, it's going to healthare, every country, it's going to healthare, every country, it's going to be built in. Everyone's going to have be built in. Everyone's going to have be built in. Everyone's going to have it. it. it. >> Everyone's taken care of. >> Everyone's taken care of. >> Everyone's taken care of. >> I think I think that that's the basis. >> I think I think that that's the basis. >> I think I think that that's the basis. You you have the basis of a really great You you have the basis of a really great You you have the basis of a really great dystopian novel. dystopian novel. dystopian novel. >> Yes. >> Yes. >> Yes. >> Yeah. >> Yeah. >> Yeah. >> That just sounds totally terrible to me. >> That just sounds totally terrible to me. >> That just sounds totally terrible to me. >> It does. You know, the sad thing for a a >> It does. You know, the sad thing for a a >> It does. You know, the sad thing for a a writer of dystopian fiction is that all writer of dystopian fiction is that all writer of dystopian fiction is that all their good ideas are being taken away by their good ideas are being taken away by their good ideas are being taken away by reality. reality. reality. >> [laughter] >> [laughter] >> [laughter] >> Exactly. >> Exactly. >> Exactly. >> Yeah, it it's true. And so, [snorts] >> Yeah, it it's true. And so, [snorts] >> Yeah, it it's true. And so, [snorts] yeah. Um, no, that's a that's a good yeah. Um, no, that's a that's a good yeah. Um, no, that's a that's a good one. one. one. >> You have any good predictions? >> You have any good predictions? >> You have any good predictions? >> I have a I have a prediction. I already >> I have a I have a prediction. I already >> I have a I have a prediction. I already kind of made it. There's only one. I kind of made it. There's only one. I kind of made it. There's only one. I mean, there's all these people putting mean, there's all these people putting mean, there's all these people putting out predictions and, you know, getting out predictions and, you know, getting out predictions and, you know, getting all detailed and stuff like that about, all detailed and stuff like that about, all detailed and stuff like that about, you know, and I have like, you know, 10 you know, and I have like, you know, 10 you know, and I have like, you know, 10 predictions that they have. I have one, predictions that they have. I have one, predictions that they have. I have one, which is the AI slop one. It's going to which is the AI slop one. It's going to which is the AI slop one. It's going to get so bad that it's actually going to get so bad that it's actually going to get so bad that it's actually going to create jobs. [laughter] create jobs. [laughter] create jobs. [laughter] [cough] The ones that we've talked about [cough] The ones that we've talked about [cough] The ones that we've talked about on IoT Coffee Talk, the janitor, right?

on IoT Coffee Talk, the janitor, right? on IoT Coffee Talk, the janitor, right? The babysitter and um you know, the The babysitter and um you know, the The babysitter and um you know, the plumber. And so, you know, somebody plumber. And so, you know, somebody plumber. And so, you know, somebody recommended there really should be four, recommended there really should be four, recommended there really should be four, which is the doctor, right? When the AI which is the doctor, right? When the AI which is the doctor, right? When the AI gets sick or the slop just you know, gets sick or the slop just you know, gets sick or the slop just you know, diseases and inflicts everybody, you diseases and inflicts everybody, you diseases and inflicts everybody, you need a doctor to take care of you. You need a doctor to take care of you. You need a doctor to take care of you. You know, it's not good enough to just have know, it's not good enough to just have know, it's not good enough to just have a babysitter. Babysitter is there for a babysitter. Babysitter is there for a babysitter. Babysitter is there for maintenance, right? Sustainment, maybe maintenance, right? Sustainment, maybe maintenance, right? Sustainment, maybe making sure that you're nurturing your making sure that you're nurturing your making sure that you're nurturing your AI and enabling it to grow, right? Which AI and enabling it to grow, right? Which AI and enabling it to grow, right? Which these things don't do. [laughter] these things don't do. [laughter] these things don't do. [laughter] >> Oh, it's a good idea. AIDS term. It's a >> Oh, it's a good idea. AIDS term. It's a >> Oh, it's a good idea. AIDS term. It's a good idea. good idea. good idea. >> Yeah. Yeah. And you know, it's like >> Yeah. Yeah. And you know, it's like >> Yeah. Yeah. And you know, it's like really weird when I when I had asked AI really weird when I when I had asked AI really weird when I when I had asked AI to perplexely generate it, it has a bias to perplexely generate it, it has a bias to perplexely generate it, it has a bias that a babysitter has to be female. Then that a babysitter has to be female. Then that a babysitter has to be female. Then that was not my intent, that was not my intent, that was not my intent, >> right? >> right? >> right? Right. That's a good point. Right. That's a good point. Right. That's a good point. >> Wow. You know, >> Wow. You know, >> Wow. You know, >> you know the other another prediction, >> you know the other another prediction, >> you know the other another prediction, >> you know, is that >> you know, is that >> you know, is that >> that won't come true or will come true >> that won't come true or will come true >> that won't come true or will come true or do you have to phrase it in reverse?

or do you have to phrase it in reverse? or do you have to phrase it in reverse? So, So, So, >> if AI keeps on trucking the way it is, >> if AI keeps on trucking the way it is, >> if AI keeps on trucking the way it is, all right, this is related to AI all right, this is related to AI all right, this is related to AI girlfriends and boyfriends. girlfriends and boyfriends. girlfriends and boyfriends. >> Yeah. >> Yeah. >> Yeah. >> Um, you know, we're already seeing a >> Um, you know, we're already seeing a >> Um, you know, we're already seeing a decline in birth rates around the decline in birth rates around the decline in birth rates around the different parts of the world. different parts of the world. different parts of the world. um that will be accelerated by your AI um that will be accelerated by your AI um that will be accelerated by your AI girlfriends and boyfriends. girlfriends and boyfriends. girlfriends and boyfriends. >> And so the other prediction, it only it >> And so the other prediction, it only it >> And so the other prediction, it only it only takes roughly 100 or so years to only takes roughly 100 or so years to only takes roughly 100 or so years to completely depopulate the entire planet. completely depopulate the entire planet. completely depopulate the entire planet. >> Yeah. >> Yeah. >> Yeah. >> Zero people on the planet. And it seems >> Zero people on the planet. And it seems >> Zero people on the planet. And it seems crazy you have billions of people and it crazy you have billions of people and it crazy you have billions of people and it could go to zero that it could it could could go to zero that it could it could could go to zero that it could it could that fast. And so, uh, this the whole AI that fast. And so, uh, this the whole AI that fast. And so, uh, this the whole AI relationships, rel AI girlfriend relationships, rel AI girlfriend relationships, rel AI girlfriend boyfriend thing, that's all that's going boyfriend thing, that's all that's going boyfriend thing, that's all that's going to do is accelerate the rate the decline to do is accelerate the rate the decline to do is accelerate the rate the decline in birth rates, which is also going to in birth rates, which is also going to in birth rates, which is also going to accelerate the decline in populations in accelerate the decline in populations in accelerate the decline in populations in all the countries. all the countries. all the countries. >> That's actually quite plausible. >> That's actually quite plausible. >> That's actually quite plausible. >> Yeah, >> Yeah, >> Yeah, >> that could [snorts and clears throat] >> that could [snorts and clears throat] >> that could [snorts and clears throat] happen. happen. happen. >> Maybe not in one year now. >> Maybe not in one year now. >> Maybe not in one year now. >> Not in one year. No, you're right. >> Not in one year. No, you're right. >> Not in one year. No, you're right. >> But five year horizon should see >> But five year horizon should see >> But five year horizon should see effects. I agree with you.

effects. I agree with you. effects. I agree with you. >> Yeah, we should start seeing effects. >> Yeah, we should start seeing effects. >> Yeah, we should start seeing effects. So, we should track that starting now. So, we should track that starting now. So, we should track that starting now. >> Yeah, we should. And then so um riffing >> Yeah, we should. And then so um riffing >> Yeah, we should. And then so um riffing off of that, I have a couple of off of that, I have a couple of off of that, I have a couple of predictions for Hollywood this year predictions for Hollywood this year predictions for Hollywood this year >> that we are going to see um in the >> that we are going to see um in the >> that we are going to see um in the script rooms two films drop. Okay. An script rooms two films drop. Okay. An script rooms two films drop. Okay. An idea for her too, right? The reckoning idea for her too, right? The reckoning idea for her too, right? The reckoning or the or the or the [laughter] Yeah, that sounds good. you [laughter] Yeah, that sounds good. you [laughter] Yeah, that sounds good. you know, you have to have like a single, know, you have to have like a single, know, you have to have like a single, you know, single. Uh anyway, and then uh you know, single. Uh anyway, and then uh you know, single. Uh anyway, and then uh Ter Terminator 7, Ter Terminator 7, Ter Terminator 7, right? right? right? >> Yeah. The non-militarized >> Yeah. The non-militarized >> Yeah. The non-militarized uh non-militarized uh non-militarized uh non-militarized um extinction of humanity. [laughter] um extinction of humanity. [laughter] um extinction of humanity. [laughter] >> There you go. >> There you go. >> There you go. >> Self-extinction. Yeah. >> Self-extinction. Yeah. >> Self-extinction. Yeah. >> Yeah. Self-extinction. >> Yeah. Self-extinction. >> Yeah. Self-extinction. [laughter] [laughter] [laughter] >> Yeah. No. I mean, I'm hearing these >> Yeah. No. I mean, I'm hearing these >> Yeah. No. I mean, I'm hearing these stories about the percentage of young stories about the percentage of young stories about the percentage of young men going up to a higher age who have men going up to a higher age who have men going up to a higher age who have actually never even asked a girl out on actually never even asked a girl out on actually never even asked a girl out on a date at all. Like, there's stats out a date at all. Like, there's stats out a date at all. Like, there's stats out there and it's crazy.

there and it's crazy. there and it's crazy. >> Yeah. >> Yeah. >> Yeah. >> You know, guys won't know what to do. >> You know, guys won't know what to do. >> You know, guys won't know what to do. They'll go, "Oh, They'll go, "Oh, They'll go, "Oh, >> the question is that is that going to be >> the question is that is that going to be >> the question is that is that going to be a reverse idiocracy or not?" So, a reverse idiocracy or not?" So, a reverse idiocracy or not?" So, >> yeah. Okay. On the on the bright side >> yeah. Okay. On the on the bright side >> yeah. Okay. On the on the bright side though for the IoT community, I think though for the IoT community, I think though for the IoT community, I think that digital twin and uh IoT will get that digital twin and uh IoT will get that digital twin and uh IoT will get love this year. love this year. love this year. >> Yes. >> Yes. >> Yes. >> So we are going to build deterministic >> So we are going to build deterministic >> So we are going to build deterministic digital twins, deterministic IoT, rows digital twins, deterministic IoT, rows digital twins, deterministic IoT, rows and columns and databases SQL to find and columns and databases SQL to find and columns and databases SQL to find answers to questions, real answers, not answers to questions, real answers, not answers to questions, real answers, not not probable answers, but real answers. not probable answers, but real answers. not probable answers, but real answers. and uh and so you'll know what you know and uh and so you'll know what you know and uh and so you'll know what you know instead of going I could have just gone instead of going I could have just gone instead of going I could have just gone with my gut on that one. with my gut on that one. with my gut on that one. >> Yeah. >> Yeah. >> Yeah. [laughter] [laughter] [laughter] >> Awesome. Okay. So, I think that's an >> Awesome. Okay. So, I think that's an >> Awesome. Okay. So, I think that's an episode, right? That's a wonderful uh I episode, right? That's a wonderful uh I episode, right? That's a wonderful uh I think this is our sixth year. Six. Yeah. think this is our sixth year. Six. Yeah. think this is our sixth year. Six. Yeah. Sixth um New Year's or seven. I I've Sixth um New Year's or seven. I I've Sixth um New Year's or seven. I I've lost track. I mean, we're really fast lost track. I mean, we're really fast lost track. I mean, we're really fast approaching a decade of IoT coffee talk.

approaching a decade of IoT coffee talk. approaching a decade of IoT coffee talk. It's like nuts. Um but um you want to It's like nuts. Um but um you want to It's like nuts. Um but um you want to take us out or you want me to do it? take us out or you want me to do it? take us out or you want me to do it? >> Oh, I think I think you should do it. >> Oh, I think I think you should do it. >> Oh, I think I think you should do it. >> Okay. Yeah. Hey everyone. Thank I I just >> Okay. Yeah. Hey everyone. Thank I I just >> Okay. Yeah. Hey everyone. Thank I I just have to say we appreciate everyone have to say we appreciate everyone have to say we appreciate everyone tolerating us for almost you know going tolerating us for almost you know going tolerating us for almost you know going on seven years is pretty amazing and um on seven years is pretty amazing and um on seven years is pretty amazing and um we appreciate your uh viewership as well we appreciate your uh viewership as well we appreciate your uh viewership as well as your listenership. And um you know we as your listenership. And um you know we as your listenership. And um you know we do this just because we just like to do this just because we just like to do this just because we just like to share. I mean, we sound like a bunch of share. I mean, we sound like a bunch of share. I mean, we sound like a bunch of grumpy old guys, which is probably true. grumpy old guys, which is probably true. grumpy old guys, which is probably true. And if you made it this far, it's you're And if you made it this far, it's you're And if you made it this far, it's you're like one out of like zero people like one out of like zero people like one out of like zero people [laughter] that have made it this far. But that's that have made it this far. But that's amazing. That's an amazing amazing. That's an amazing amazing. That's an amazing accomplishment and we really appreciate accomplishment and we really appreciate accomplishment and we really appreciate it. And if you make a comment below, we it. And if you make a comment below, we it. And if you make a comment below, we will we'll hype you guys up or you up will we'll hype you guys up or you up will we'll hype you guys up or you up cuz it's probably it's got to be one cuz it's probably it's got to be one cuz it's probably it's got to be one person, right? person, right? person, right? >> It's got [snorts] to be. But uh yeah, we >> It's got [snorts] to be. But uh yeah, we >> It's got [snorts] to be. But uh yeah, we we really do in um in true honesty hope we really do in um in true honesty hope we really do in um in true honesty hope that you have a wonderful year. It's that you have a wonderful year. It's that you have a wonderful year. It's looks like it's going to be a pretty looks like it's going to be a pretty looks like it's going to be a pretty bright one for IoT if we don't hype it bright one for IoT if we don't hype it bright one for IoT if we don't hype it up and get ridiculous and hide true up and get ridiculous and hide true up and get ridiculous and hide true solutions with a bunch of you know IoT solutions with a bunch of you know IoT solutions with a bunch of you know IoT slop. Uh so if we can keep that slop. Uh so if we can keep that slop. Uh so if we can keep that discipline which is what we're going to discipline which is what we're going to discipline which is what we're going to try to do here or we try to do here on try to do here or we try to do here on try to do here or we try to do here on IoT coffee talk uh then we can make IoT coffee talk uh then we can make IoT coffee talk uh then we can make something big happen even with digital something big happen even with digital something big happen even with digital twin right let's not get silly and twin right let's not get silly and twin right let's not get silly and ridiculous and so um do come back and

ridiculous and so um do come back and ridiculous and so um do come back and watch us and watch our old episodes watch us and watch our old episodes watch us and watch our old episodes because we've already addressed and because we've already addressed and because we've already addressed and solved problems that we are about to solved problems that we are about to solved problems that we are about to revisit and [laughter] revisit and [laughter] revisit and [laughter] redo in this uh you know renewed cycle redo in this uh you know renewed cycle redo in this uh you know renewed cycle of um IoT hype that I think that I think of um IoT hype that I think that I think of um IoT hype that I think that I think we all believe is going to happen um we all believe is going to happen um we all believe is going to happen um driven by AI. Uh driven by AI. Uh driven by AI. Uh >> yeah, and so remember uh to like, share, >> yeah, and so remember uh to like, share, >> yeah, and so remember uh to like, share, and comment and uh and comment and uh and comment and uh >> ring that bell. >> ring that bell. >> ring that bell. >> Subscribe. Yeah, ring that bell and >> Subscribe. Yeah, ring that bell and >> Subscribe. Yeah, ring that bell and subscribe at www.iotalk.com. Also 2026 is going to big be a big one Also 2026 is going to big be a big one for elevate communities because as we for elevate communities because as we for elevate communities because as we explained earlier on um the communities explained earlier on um the communities explained earlier on um the communities need to be resilient. We need to be need to be resilient. We need to be need to be resilient. We need to be ready um to leverage technology to help ready um to leverage technology to help ready um to leverage technology to help uh save lives, save property uh you know uh save lives, save property uh you know uh save lives, save property uh you know property and to um recover quickly from property and to um recover quickly from property and to um recover quickly from you know these natural disasters that you know these natural disasters that you know these natural disasters that are happening. And it's important to are happening. And it's important to are happening. And it's important to protect communities uh that are uh maybe protect communities uh that are uh maybe protect communities uh that are uh maybe not as well resourced uh as others. And not as well resourced uh as others. And not as well resourced uh as others. And so this is really what we're going to so this is really what we're going to so this is really what we're going to try to do.

try to do. try to do. >> We're here to help. >> We're here to help. >> We're here to help. >> Yeah. Yeah. And so uh you know, we're >> Yeah. Yeah. And so uh you know, we're >> Yeah. Yeah. And so uh you know, we're going to be reaching out to some of you going to be reaching out to some of you going to be reaching out to some of you folks and companies that have good folks and companies that have good folks and companies that have good hearts that want to contribute to this hearts that want to contribute to this hearts that want to contribute to this effort. So uh anyways, effort. So uh anyways, effort. So uh anyways, merry new year everybody. merry new year everybody. merry new year everybody. >> Happy new year. See you next year. Oh, wait. It is next See you next year. Oh, wait. It is next year. [laughter]