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iOT Coffee Talk June 14, 2025 1h 2m

IoT Coffee Talk: Episode 265 -Shallow (The Bradley Cooper Episode)

Read full transcript 49 segments
  1. It's shallow. It's shallow. Oh, because I'm Bradley Cooper. Bradley Oh, because I'm Bradley Cooper. Bradley Oh, because I'm Bradley Cooper. Bradley Cooper, man. Oh, hey. Well, well, gosh. Cooper, man. Oh, hey. Well, well, gosh. Cooper, man. Oh, hey. Well, well, gosh. Should I put on a cowboy hat or Should I put on a cowboy hat or Should I put on a cowboy hat or something? Or, you know, do I have Lady something? Or, you know, do I have Lady something? Or, you know, do I have Lady Gaga singing with me? Yeah. You want to Gaga singing with me? Yeah. You want to Gaga singing with me? Yeah. You want to do you know the lyrics? Some of it. do you know the lyrics? Some of it. do you know the lyrics? Some of it. Something about a droid, right? A droid. Something about a droid, right? A droid. Something about a droid, right? A droid. Okay, I'll play it. Let me see if I I Okay, I'll play it. Let me see if I I Okay, I'll play it. Let me see if I I just learned it, dude. Hold on. Let me just learned it, dude. Hold on. Let me just learned it, dude. Hold on. Let me see. see. see. Can you hear that? Yeah. Yeah. Yeah, that's right. I'm going to put on Yeah, that's right. I'm going to put on a cowboy hat. [Music] [Music] [Laughter] [Laughter] [Laughter] [Music] All right, I'm ready. All right, I'm ready. [Music] [Music] [Music] Country B. Yeah.

  2. Yeah. Yeah. A little bit, lady. Great rehearsal on A little bit, lady. Great rehearsal on A little bit, lady. Great rehearsal on doing that. Now you can do it for real. doing that. Now you can do it for real. doing that. Now you can do it for real. Really? Are you serious? I had to go get Really? Are you serious? I had to go get Really? Are you serious? I had to go get my cowboy hat. Oh, okay. Ready? Okay. my cowboy hat. Oh, okay. Ready? Okay. my cowboy hat. Oh, okay. Ready? Okay. Are you going to say? I'll try. Okay. Are you going to say? I'll try. Okay. Are you going to say? I'll try. Okay. Hold on. I'll pretend I'm Bradley Hold on. I'll pretend I'm Bradley Hold on. I'll pretend I'm Bradley Cooper. Okay. Cooper. Okay. Cooper. Okay. [Music] [Music] [Music] This is hard to play. This is hard to play. This is hard to play. [Music] [Music] [Music] I screwed up. No worries. No worries. I screwed up. No worries. No worries. I screwed up. No worries. No worries. You know. All right. We need Lady Gaga You know. All right. We need Lady Gaga You know. All right. We need Lady Gaga here, you know. Thought you were going here, you know. Thought you were going here, you know. Thought you were going to sing. Tell me something, girl. to sing. Tell me something, girl. to sing. Tell me something, girl. Come on. Yeah, that sounds great, dude. Come on. Yeah, that sounds great, dude. Come on. Yeah, that sounds great, dude. I'm telling you, you're vocalist. Like, I'm telling you, you're vocalist. Like, I'm telling you, you're vocalist. Like, you know, I had a thought that Eddie you know, I had a thought that Eddie you know, I had a thought that Eddie better should re-record every song ever better should re-record every song ever better should re-record every song ever made so that you could hear every song made so that you could hear every song made so that you could hear every song with that Eddie better sound.

  3. Some AI is going to do that very soon. I Some AI is going to do that very soon. I mean, we're gonna get some AI to do that mean, we're gonna get some AI to do that mean, we're gonna get some AI to do that soon. Exactly. It's a It's like going to soon. Exactly. It's a It's like going to soon. Exactly. It's a It's like going to be a different version of music, you be a different version of music, you be a different version of music, you know, and so in all kinds of when you're know, and so in all kinds of when you're know, and so in all kinds of when you're going grocery shopping or whatever, going grocery shopping or whatever, going grocery shopping or whatever, you'll hear Eddie Veter singing Whitney you'll hear Eddie Veter singing Whitney you'll hear Eddie Veter singing Whitney Houston songs and whatever, you know. Houston songs and whatever, you know. Houston songs and whatever, you know. Um, that's actually that's actually a Um, that's actually that's actually a Um, that's actually that's actually a good idea doing some AI that you can good idea doing some AI that you can good idea doing some AI that you can sell to all those places where they can, sell to all those places where they can, sell to all those places where they can, you know, sing music and Yeah, you know, sing music and Yeah, you know, sing music and Yeah, interesting actually. Yeah. No, you're interesting actually. Yeah. No, you're interesting actually. Yeah. No, you're right. I agree. That would be pretty right. I agree. That would be pretty right. I agree. That would be pretty cool. Shop music is usually boring like cool. Shop music is usually boring like cool. Shop music is usually boring like hell. Yeah. Yeah. You know what? I love that song Yeah. You know what? I love that song though. Shallow. That was a great There though. Shallow. That was a great There though. Shallow. That was a great There was some other great ones. That was That was some other great ones. That was That was some other great ones. That was That was actually a really good movie. Yeah, was actually a really good movie. Yeah, was actually a really good movie. Yeah, that was really I loved how it was a that was really I loved how it was a that was really I loved how it was a tragedy. It wasn't feel good, you know, tragedy. It wasn't feel good, you know, tragedy. It wasn't feel good, you know, like too many. And that's like the third like too many. And that's like the third like too many. And that's like the third time that movie's been made. Um time that movie's been made. Um time that movie's been made. Um I remember the second version came out I remember the second version came out I remember the second version came out in the late '7s. It was Barbara Stysan in the late '7s. It was Barbara Stysan in the late '7s. It was Barbara Stysan was the upand cominging person and Chris was the upand cominging person and Chris was the upand cominging person and Chris Kristofferson was the rocker who was on Kristofferson was the rocker who was on Kristofferson was the rocker who was on top of his game but about to fall, top of his game but about to fall, top of his game but about to fall, right? And yeah, the it's the same idea.

  4. right? And yeah, the it's the same idea. right? And yeah, the it's the same idea. It's nobody's going up while the It's nobody's going up while the It's nobody's going up while the someone's on top's going down. Um, someone's on top's going down. Um, someone's on top's going down. Um, interesting trivia that no one will care interesting trivia that no one will care interesting trivia that no one will care about related to that particular version about related to that particular version about related to that particular version of the movie is guess who was originally of the movie is guess who was originally of the movie is guess who was originally cast to be the rockar guy instead of cast to be the rockar guy instead of cast to be the rockar guy instead of Chris Kristofferson. Chris Kristofferson. Chris Kristofferson. Wait for it. Liberace. Wait for it. Liberace. Wait for it. Liberace. No, bigger. He was the biggest rock star No, bigger. He was the biggest rock star No, bigger. He was the biggest rock star in the world, but he died and therefore in the world, but he died and therefore in the world, but he died and therefore Morrison. It was Elvis Presley. Really? Morrison. It was Elvis Presley. Really? Morrison. It was Elvis Presley. Really? Elvis was going to play the guy who was Elvis was going to play the guy who was Elvis was going to play the guy who was on top of the world and then collapsed on top of the world and then collapsed on top of the world and then collapsed and then he actually died and so they and then he actually died and so they and then he actually died and so they had to find scramble and find someone had to find scramble and find someone had to find scramble and find someone else and they got Chris Christopherson else and they got Chris Christopherson else and they got Chris Christopherson to do it. Oh my gosh. So you're saying to do it. Oh my gosh. So you're saying to do it. Oh my gosh. So you're saying that he got ahead of the script. Got that he got ahead of the script. Got that he got ahead of the script. Got ahead of the script. Sometimes that ahead of the script. Sometimes that ahead of the script. Sometimes that happens, you know. You get ahead of the happens, you know. You get ahead of the happens, you know. You get ahead of the script, right? Yeah. That's terrible. I script, right? Yeah. That's terrible. I script, right? Yeah. That's terrible. I know. I know. Elvis is awesome actually. know. I know. Elvis is awesome actually. know. I know. Elvis is awesome actually. You know, it's like weird, you know, You know, it's like weird, you know, You know, it's like weird, you know, those those those um th some of those artists when you um th some of those artists when you um th some of those artists when you look at their early work, it's just look at their early work, it's just look at their early work, it's just unbelievable. Like recently, they've unbelievable. Like recently, they've unbelievable. Like recently, they've been releasing a lot of Eddie Van, you been releasing a lot of Eddie Van, you been releasing a lot of Eddie Van, you know, like Van Halen, like before they know, like Van Halen, like before they know, like Van Halen, like before they became famous, uh, you know, eight became famous, uh, you know, eight became famous, uh, you know, eight track, you know, and stuff like that.

  5. track, you know, and stuff like that. track, you know, and stuff like that. I'm telling you, man, I I've I've heard I'm telling you, man, I I've I've heard I'm telling you, man, I I've I've heard some stuff that I've never heard before. some stuff that I've never heard before. some stuff that I've never heard before. Was it good? Even Was it good? Even Was it good? Even was killing everybody. I mean, they have was killing everybody. I mean, they have was killing everybody. I mean, they have this one um it's almost like an hour and this one um it's almost like an hour and this one um it's almost like an hour and a half. It's like a recording at a at a a half. It's like a recording at a at a a half. It's like a recording at a at a garage, you know, like one of those garage, you know, like one of those garage, you know, like one of those backyard parties that they did. Yeah. backyard parties that they did. Yeah. backyard parties that they did. Yeah. His technique is unbelievable, man. I His technique is unbelievable, man. I His technique is unbelievable, man. I mean, he he'll take any shredder today mean, he he'll take any shredder today mean, he he'll take any shredder today to school. And you know what the other to school. And you know what the other to school. And you know what the other thing was? He was an incredible blues thing was? He was an incredible blues thing was? He was an incredible blues player. You want to talk about somebody player. You want to talk about somebody player. You want to talk about somebody who knew everything and then took things who knew everything and then took things who knew everything and then took things to the next level but nobody knew about to the next level but nobody knew about to the next level but nobody knew about it because he doing the Van Halen stuff, it because he doing the Van Halen stuff, it because he doing the Van Halen stuff, right? Yeah. His diversity like the right? Yeah. His diversity like the right? Yeah. His diversity like the different styles he can play is just different styles he can play is just different styles he can play is just freaky, man. Yeah. That's why he's freaky, man. Yeah. That's why he's freaky, man. Yeah. That's why he's considered the great, you know, the considered the great, you know, the considered the great, you know, the greatest. I would say that he had better greatest. I would say that he had better greatest. I would say that he had better ch better musical ch better musical ch better musical um musical diversity than Jimmyi um musical diversity than Jimmyi um musical diversity than Jimmyi Hendris. I mean, it it's freaky stuff.

  6. Hendris. I mean, it it's freaky stuff. Hendris. I mean, it it's freaky stuff. And he was only 19 years old, dude. And he was only 19 years old, dude. And he was only 19 years old, dude. That's the thing. He's like freaking 19 That's the thing. He's like freaking 19 That's the thing. He's like freaking 19 years old and just freaking And that's years old and just freaking And that's years old and just freaking And that's cool to hear. It's cool to hear that he cool to hear. It's cool to hear that he cool to hear. It's cool to hear that he had different styles. He was doing blues had different styles. He was doing blues had different styles. He was doing blues guitar like that. He wasn't always doing guitar like that. He wasn't always doing guitar like that. He wasn't always doing his classic. No, no, no, no, no. Not his classic. No, no, no, no, no. Not his classic. No, no, no, no, no. Not even close. Not even close. He could do even close. Not even close. He could do even close. Not even close. He could do all the weird, you know, like jazz bop all the weird, you know, like jazz bop all the weird, you know, like jazz bop stuff. That's why the Van Halen music is stuff. That's why the Van Halen music is stuff. That's why the Van Halen music is so different from everything else that so different from everything else that so different from everything else that came out in the the 80s that copied. Uh came out in the the 80s that copied. Uh came out in the the 80s that copied. Uh they couldn't. For some reason, everyone they couldn't. For some reason, everyone they couldn't. For some reason, everyone vibed on something he was doing that vibed on something he was doing that vibed on something he was doing that nobody else could do or figure out. And nobody else could do or figure out. And nobody else could do or figure out. And even today, there's very few people who even today, there's very few people who even today, there's very few people who can actually emulate how he plays. You can actually emulate how he plays. You can actually emulate how he plays. You know, even Joseph Honey struggles with know, even Joseph Honey struggles with know, even Joseph Honey struggles with it. And the freaking guitar god, right? it. And the freaking guitar god, right? it. And the freaking guitar god, right? I I saw something recently, you know, I I saw something recently, you know, I I saw something recently, you know, related to blues guitar. There are related to blues guitar. There are related to blues guitar. There are always fans from the 80s. Uh Neil Sean's always fans from the 80s. Uh Neil Sean's always fans from the 80s. Uh Neil Sean's really active on Instagram and stuff really active on Instagram and stuff really active on Instagram and stuff like that and um people are always like that and um people are always like that and um people are always asking about, hey, when are you and asking about, hey, when are you and asking about, hey, when are you and Steve Perry going to get back together?

  7. Steve Perry going to get back together? Steve Perry going to get back together? That kind of thing, you know, and and That kind of thing, you know, and and That kind of thing, you know, and and that's pretty normal. And he's like, you that's pretty normal. And he's like, you that's pretty normal. And he's like, you know, it it probably won't happen with know, it it probably won't happen with know, it it probably won't happen with Journey, but he said that he and Steve Journey, but he said that he and Steve Journey, but he said that he and Steve might do some blues recordings together might do some blues recordings together might do some blues recordings together or Neil would do some blues guitar and or Neil would do some blues guitar and or Neil would do some blues guitar and stuff like that. just something totally stuff like that. just something totally stuff like that. just something totally different, you know. Yeah. Um, now it's different, you know. Yeah. Um, now it's different, you know. Yeah. Um, now it's funny when you talk about finding old funny when you talk about finding old funny when you talk about finding old recordings of Eddie Van Halen pre recordings of Eddie Van Halen pre recordings of Eddie Van Halen pre sometimes you and it was great. I sometimes you and it was great. I sometimes you and it was great. I remember um in the '9s and maybe early remember um in the '9s and maybe early remember um in the '9s and maybe early 2000s, you know, after Kurt Cobain, you 2000s, you know, after Kurt Cobain, you 2000s, you know, after Kurt Cobain, you know, died, lots of stuff came out, all know, died, lots of stuff came out, all know, died, lots of stuff came out, all these collector sets, all this stuff. these collector sets, all this stuff. these collector sets, all this stuff. And then pre early days uh Nirvana in And then pre early days uh Nirvana in And then pre early days uh Nirvana in the garage, you know, in Aberdine, the garage, you know, in Aberdine, the garage, you know, in Aberdine, Washington recording and it's the Washington recording and it's the Washington recording and it's the opposite of what you said. It's true. opposite of what you said. It's true. opposite of what you said. It's true. They're horrible. They were horrible. They're horrible. They were horrible. They're horrible. They were horrible. They had no idea how to play. Yeah. They had no idea how to play. Yeah. They had no idea how to play. Yeah. Yeah. Yeah. Curt sounded like hell and Yeah. Yeah. Curt sounded like hell and Yeah. Yeah. Curt sounded like hell and the guitar sounded like crap and they the guitar sounded like crap and they the guitar sounded like crap and they were clearly just making [ __ ] up and were clearly just making [ __ ] up and were clearly just making [ __ ] up and they just got better. But I've always they just got better. But I've always they just got better. But I've always heard that uh whether it's the Beatles heard that uh whether it's the Beatles heard that uh whether it's the Beatles or other bands, a lot of them said, or other bands, a lot of them said, or other bands, a lot of them said, you know, a lot of people, this is a you know, a lot of people, this is a you know, a lot of people, this is a big, this is a big life lesson, kids.

  8. big, this is a big life lesson, kids. big, this is a big life lesson, kids. This is your from your uncle Rob here. A This is your from your uncle Rob here. A This is your from your uncle Rob here. A lot of times you feel like you have to lot of times you feel like you have to lot of times you feel like you have to wait until you're ready or you got wait until you're ready or you got wait until you're ready or you got certified in this, you become a master certified in this, you become a master certified in this, you become a master of that or whatever before you can of that or whatever before you can of that or whatever before you can start. Don't wait. Just start. Whatever start. Don't wait. Just start. Whatever start. Don't wait. Just start. Whatever it is, the Beatles has started with it is, the Beatles has started with it is, the Beatles has started with that. None of them knew how to play. that. None of them knew how to play. that. None of them knew how to play. They had come out and said it. we had They had come out and said it. we had They had come out and said it. we had just decided we're gonna make a band and just decided we're gonna make a band and just decided we're gonna make a band and we're just gonna figure it out along the we're just gonna figure it out along the we're just gonna figure it out along the way. And I think that's what Nirvana did way. And I think that's what Nirvana did way. And I think that's what Nirvana did too. I think they just wanted to do it. too. I think they just wanted to do it. too. I think they just wanted to do it. They really sucked, but you keep getting They really sucked, but you keep getting They really sucked, but you keep getting better, right, over time, you know? Um, better, right, over time, you know? Um, better, right, over time, you know? Um, and then, you know, in the end, they had and then, you know, in the end, they had and then, you know, in the end, they had a raw sound that kind of was people at a raw sound that kind of was people at a raw sound that kind of was people at that time frame, right? Yeah. that time frame, right? Yeah. that time frame, right? Yeah. There's research that backs that up, There's research that backs that up, There's research that backs that up, Rob, because I can't point out to it Rob, because I can't point out to it Rob, because I can't point out to it necessarily, but you know, this is why necessarily, but you know, this is why necessarily, but you know, this is why children run learn so fast because children run learn so fast because children run learn so fast because they're not afraid of mistake. They're they're not afraid of mistake. They're they're not afraid of mistake. They're not afraid of sounding bad when they not afraid of sounding bad when they not afraid of sounding bad when they sing. They just sing and then they get sing. They just sing and then they get sing. They just sing and then they get better over time. So, yeah, definitely better over time. So, yeah, definitely better over time. So, yeah, definitely just start people just start. Yeah. just start people just start. Yeah. just start people just start. Yeah. Yeah. Change. Yeah. Um, going Pete, Yeah. Change. Yeah. Um, going Pete, Yeah. Change. Yeah. Um, going Pete, what's up Pete? Who's representing? I'm what's up Pete? Who's representing? I'm what's up Pete? Who's representing? I'm having a little bit of internet having a little bit of internet having a little bit of internet challenges this morning. So, I'm I'm challenges this morning. So, I'm I'm challenges this morning. So, I'm I'm thanking the 5G gods for their for their thanking the 5G gods for their for their thanking the 5G gods for their for their vibrations. You sound great, though, vibrations. You sound great, though, vibrations. You sound great, though, man. Thank you. Excellent.

  9. man. Thank you. Excellent. man. Thank you. Excellent. Got up super early to drop my daughter Got up super early to drop my daughter Got up super early to drop my daughter off at the airport down in SeaTac and off at the airport down in SeaTac and off at the airport down in SeaTac and caught an early breakfast at Tommy's. If caught an early breakfast at Tommy's. If caught an early breakfast at Tommy's. If anyone's ever in Reton, Washington, I anyone's ever in Reton, Washington, I anyone's ever in Reton, Washington, I highly recommend. highly recommend. highly recommend. Oh, I've been to Tommy's before. Oh, I've been to Tommy's before. Oh, I've been to Tommy's before. You ever go to like a a diner where they You ever go to like a a diner where they You ever go to like a a diner where they have those they have those vinyl seats have those they have those vinyl seats have those they have those vinyl seats and then the the table actually has like and then the the table actually has like and then the the table actually has like a laminate on it with ads underneath it? a laminate on it with ads underneath it? a laminate on it with ads underneath it? Yes. Yes. Yes. I love it. That's the best. Very very, I love it. That's the best. Very very, I love it. That's the best. Very very, you know, you know, you know, that's more authentic and legit, you that's more authentic and legit, you that's more authentic and legit, you know, cuz a lot of times if I want to know, cuz a lot of times if I want to know, cuz a lot of times if I want to grab breakfast by the airport, I'll go grab breakfast by the airport, I'll go grab breakfast by the airport, I'll go to 13 coins. But this this sounds pretty to 13 coins. But this this sounds pretty to 13 coins. But this this sounds pretty cool. Tommy's. Tommy's. I'll have to cool. Tommy's. Tommy's. I'll have to cool. Tommy's. Tommy's. I'll have to check it out. Check it out. But I can't check it out. Check it out. But I can't check it out. Check it out. But I can't remember the name, but there was a very remember the name, but there was a very remember the name, but there was a very famous like, you know, breakfast place famous like, you know, breakfast place famous like, you know, breakfast place in Silicon Valley that I think there's in Silicon Valley that I think there's in Silicon Valley that I think there's there's like two or three locations and there's like two or three locations and there's like two or three locations and unfortunately COVID killed them. unfortunately COVID killed them. unfortunately COVID killed them. Yeah. No, I think a lot of these Yeah. No, I think a lot of these Yeah. No, I think a lot of these restaurants, that was a tough one, but restaurants, that was a tough one, but restaurants, that was a tough one, but yes, it's it's amazing some of these I yes, it's it's amazing some of these I yes, it's it's amazing some of these I actually went to another place called actually went to another place called actually went to another place called Pete's in Milbury. If you if you're in Pete's in Milbury. If you if you're in Pete's in Milbury. If you if you're in Milbre in the Bay Area, another one of Milbre in the Bay Area, another one of Milbre in the Bay Area, another one of those like vinyl booths with the the those like vinyl booths with the the those like vinyl booths with the the laminate like it was like, you know, laminate like it was like, you know, laminate like it was like, you know, exactly the same. Yes. But they seem to exactly the same. Yes. But they seem to exactly the same. Yes. But they seem to survive like it doesn't matter. They're survive like it doesn't matter. They're survive like it doesn't matter. They're just there. Maybe they have like very just there. Maybe they have like very just there. Maybe they have like very low rent or something's going on there low rent or something's going on there low rent or something's going on there because there's hardly any customers in because there's hardly any customers in because there's hardly any customers in these places. It's like we tried to make these places. It's like we tried to make these places. It's like we tried to make this just like your grandparents this just like your grandparents this just like your grandparents furniture that they covered in plastic.

  10. furniture that they covered in plastic. furniture that they covered in plastic. That's right. It's all very bouncy. you That's right. It's all very bouncy. you That's right. It's all very bouncy. you know, big chair in there, you know. I know, big chair in there, you know. I know, big chair in there, you know. I love it. I think my favorite breakfast love it. I think my favorite breakfast love it. I think my favorite breakfast diner around up here is in the town of diner around up here is in the town of diner around up here is in the town of Snomish, which is north of us, north of Snomish, which is north of us, north of Snomish, which is north of us, north of Redmond and everything. There's a place Redmond and everything. There's a place Redmond and everything. There's a place called Jake's Cafe, and it's the called Jake's Cafe, and it's the called Jake's Cafe, and it's the ultimate real legit all-American diner ultimate real legit all-American diner ultimate real legit all-American diner for real. Um, same women, you know, for real. Um, same women, you know, for real. Um, same women, you know, waitresses been working there forever. waitresses been working there forever. waitresses been working there forever. In fact, I often I I know one time I did In fact, I often I I know one time I did In fact, I often I I know one time I did a recording. I was like, when I think a recording. I was like, when I think a recording. I was like, when I think about what businesses, all kinds of about what businesses, all kinds of about what businesses, all kinds of businesses could learn from others. And businesses could learn from others. And businesses could learn from others. And I I I just I was always, you know, we go I I I just I was always, you know, we go I I I just I was always, you know, we go there, the food comes out so fast. there, the food comes out so fast. there, the food comes out so fast. They're so friendly. They're so It just They're so friendly. They're so It just They're so friendly. They're so It just I feel like they put on a clinic every I feel like they put on a clinic every I feel like they put on a clinic every day of of insane awesome service, super day of of insane awesome service, super day of of insane awesome service, super efficiency, super fast. Yeah. efficiency, super fast. Yeah. efficiency, super fast. Yeah. Multitasking. And I was like, you know Multitasking. And I was like, you know Multitasking. And I was like, you know what? any business of any type could what? any business of any type could what? any business of any type could learn from just sitting back and learn from just sitting back and learn from just sitting back and watching the orchestration of a watching the orchestration of a watching the orchestration of a restaurant that really is running on all restaurant that really is running on all restaurant that really is running on all cylinders, you know. So, how much of an cylinders, you know. So, how much of an cylinders, you know. So, how much of an improvement do you think would happen if improvement do you think would happen if improvement do you think would happen if you put like an agentic AI orchestration you put like an agentic AI orchestration you put like an agentic AI orchestration framework on top of all of that? Do you framework on top of all of that? Do you framework on top of all of that? Do you think it would ruin it or would it think it would ruin it or would it think it would ruin it or would it improve it even more? Thousandx efficiency. Okay, on that note, welcome efficiency. Okay, on that note, welcome everyone everyone everyone talk and make sure don't take us talk and make sure don't take us talk and make sure don't take us seriously at all because we highly seriously at all because we highly seriously at all because we highly recommend that you don't.

  11. recommend that you don't. recommend that you don't. We're just having fun. Uh you bear all We're just having fun. Uh you bear all We're just having fun. Uh you bear all the risk. So take out insurance as the risk. So take out insurance as the risk. So take out insurance as you're listening to this. Yeah. Um, you're listening to this. Yeah. Um, you're listening to this. Yeah. Um, insurance insurance insurance AI that's a place where AI is running AI that's a place where AI is running AI that's a place where AI is running rampant in the insurance business, but rampant in the insurance business, but rampant in the insurance business, but that's all AI insurance or the use of that's all AI insurance or the use of that's all AI insurance or the use of ins of AI by insurance companies. Oh, ins of AI by insurance companies. Oh, ins of AI by insurance companies. Oh, yeah. Yeah. Although I like the idea of yeah. Yeah. Although I like the idea of yeah. Yeah. Although I like the idea of insurance for AI. Yeah. Yeah. What if AI insurance for AI. Yeah. Yeah. What if AI insurance for AI. Yeah. Yeah. What if AI is working is working is working and error insurance but for AI, you and error insurance but for AI, you and error insurance but for AI, you know? So I noticed speaking of that um know? So I noticed speaking of that um know? So I noticed speaking of that um Cheyenne Var Cheyenne Var Cheyenne Var one of our friends on LinkedIn posted an one of our friends on LinkedIn posted an one of our friends on LinkedIn posted an interesting AI uh it said state of New interesting AI uh it said state of New interesting AI uh it said state of New York is said is now going to track AI York is said is now going to track AI York is said is now going to track AI layoffs. layoffs. layoffs. Um there's like an article on LinkedIn Um there's like an article on LinkedIn Um there's like an article on LinkedIn like AI driven layoffs. Yeah. Basically like AI driven layoffs. Yeah. Basically like AI driven layoffs. Yeah. Basically they it's the first state they're going they it's the first state they're going they it's the first state they're going to track whether the layoff is a result to track whether the layoff is a result to track whether the layoff is a result of artificial intelligence. It's like of artificial intelligence. It's like of artificial intelligence. It's like adding a check box when a company is adding a check box when a company is adding a check box when a company is doing layoffs like worker adjustment doing layoffs like worker adjustment doing layoffs like worker adjustment retraining notice kind the warn notice retraining notice kind the warn notice retraining notice kind the warn notice like we had. Yeah, the warn notice like we had. Yeah, the warn notice like we had. Yeah, the warn notice thing. So, it's a new check box and thing. So, it's a new check box and thing. So, it's a new check box and basically it's going to it's like a basically it's going to it's like a basically it's going to it's like a two-step thing. It just says um two-step thing. It just says um two-step thing. It just says um it says ask if the layoffs are due to it says ask if the layoffs are due to it says ask if the layoffs are due to technological innovation or automation.

  12. technological innovation or automation. technological innovation or automation. And then if they say yes, then it's And then if they say yes, then it's And then if they say yes, then it's going to ask whether AI was involved. going to ask whether AI was involved. going to ask whether AI was involved. And so, so you can see you can say And so, so you can see you can say And so, so you can see you can say either yes or okay. Those are your two either yes or okay. Those are your two either yes or okay. Those are your two options. options. options. It's another data point, you know, for It's another data point, you know, for It's another data point, you know, for Yeah. Yeah. Yeah. everything and and poo poo the data. everything and and poo poo the data. everything and and poo poo the data. Yeah. No, it's Yeah. No, it's Yeah. No, it's No, most No, I more seriously that makes No, most No, I more seriously that makes No, most No, I more seriously that makes sense. I mean, transparency is the most sense. I mean, transparency is the most sense. I mean, transparency is the most important. We have We have data points. important. We have We have data points. important. We have We have data points. If you have data points, now I'm I'm If you have data points, now I'm I'm If you have data points, now I'm I'm pessimistic we'll do anything with it if pessimistic we'll do anything with it if pessimistic we'll do anything with it if we start seeing that, you know, 70% of we start seeing that, you know, 70% of we start seeing that, you know, 70% of the layoffs are the result of AI, but at the layoffs are the result of AI, but at the layoffs are the result of AI, but at least we have the data. So I think it least we have the data. So I think it least we have the data. So I think it makes sense. We can run it into an AI makes sense. We can run it into an AI makes sense. We can run it into an AI model and see what happens, you know. model and see what happens, you know. model and see what happens, you know. Right. Right. Right. Right. Right. Right. I think I saw a stat that there was I think I saw a stat that there was I think I saw a stat that there was something like about half a million tech something like about half a million tech something like about half a million tech layoffs in the past couple of years or layoffs in the past couple of years or layoffs in the past couple of years or something like that. It's pretty chunky. something like that. It's pretty chunky. something like that. It's pretty chunky. I mean, I was uh I went I just s sat I mean, I was uh I went I just s sat I mean, I was uh I went I just s sat down the other day to play some tennis down the other day to play some tennis down the other day to play some tennis and with a friend of mine, he's like, and with a friend of mine, he's like, and with a friend of mine, he's like, "Yeah, I got laid off this week." And he "Yeah, I got laid off this week." And he "Yeah, I got laid off this week." And he was I was like, "What?" you know, and so was I was like, "What?" you know, and so was I was like, "What?" you know, and so and he was in some he was in a sales and he was in some he was in a sales and he was in some he was in a sales thing at Microsoft and thing at Microsoft and thing at Microsoft and um they went through about a 7,000 um they went through about a 7,000 um they went through about a 7,000 person cut a couple weeks ago. Uh yeah, person cut a couple weeks ago. Uh yeah, person cut a couple weeks ago. Uh yeah, across the board all kinds of folks.

  13. across the board all kinds of folks. across the board all kinds of folks. Yeah. I mean, you know, when it comes to Yeah. I mean, you know, when it comes to Yeah. I mean, you know, when it comes to sales, um attributing it well in a sales, um attributing it well in a sales, um attributing it well in a company like Microsoft, I think it company like Microsoft, I think it company like Microsoft, I think it here's the problem. Attribution is a here's the problem. Attribution is a here's the problem. Attribution is a real challenge, right? and to uh class, real challenge, right? and to uh class, real challenge, right? and to uh class, you know, to attribute someone being you know, to attribute someone being you know, to attribute someone being laid off um because of AI, it it'll be laid off um because of AI, it it'll be laid off um because of AI, it it'll be difficult because most tools will have difficult because most tools will have difficult because most tools will have some degree of AI in it. And what the some degree of AI in it. And what the some degree of AI in it. And what the hell do you mean by AI? you were you by hell do you mean by AI? you were you by hell do you mean by AI? you were you by a chatbot or unless it's like a human or a chatbot or unless it's like a human or a chatbot or unless it's like a human or something. something. something. Yeah, it it's going to become a very Yeah, it it's going to become a very Yeah, it it's going to become a very useless metric very quickly and then useless metric very quickly and then useless metric very quickly and then people are going to uh glean um you people are going to uh glean um you people are going to uh glean um you misguided notions off of any analysis misguided notions off of any analysis misguided notions off of any analysis based on that crap. It's going to be a based on that crap. It's going to be a based on that crap. It's going to be a joke. But here's one of the factors I joke. But here's one of the factors I joke. But here's one of the factors I think that is causing think that is causing think that is causing um probably sales forces and a lot of um probably sales forces and a lot of um probably sales forces and a lot of these large companies to shrink is that these large companies to shrink is that these large companies to shrink is that right now with all the infrastructure right now with all the infrastructure right now with all the infrastructure and service sales that you're seeing. Um and service sales that you're seeing. Um and service sales that you're seeing. Um these are the these services and the these are the these services and the these are the these services and the infrastructures number one the infrastructures number one the infrastructures number one the infrastructure obviously we know it's uh infrastructure obviously we know it's uh infrastructure obviously we know it's uh huge uh uh you know these deals are huge uh uh you know these deals are huge uh uh you know these deals are massive right but then there are also massive right but then there are also massive right but then there are also not that many of them I mean you know not that many of them I mean you know not that many of them I mean you know take the example of Broadcom they have take the example of Broadcom they have take the example of Broadcom they have like three customers for their their like three customers for their their like three customers for their their entire quote unquote AI business right

  14. entire quote unquote AI business right entire quote unquote AI business right three hyperscalers how many salespeople three hyperscalers how many salespeople three hyperscalers how many salespeople do you need for that right and before do you need for that right and before do you need for that right and before their business was a lot more their business was a lot more their business was a lot more diversified. So you need more sales diversified. So you need more sales diversified. So you need more sales folks, right? You got more customers. folks, right? You got more customers. folks, right? You got more customers. But when you have like three freaking But when you have like three freaking But when you have like three freaking customers, customers, customers, um how many do you really need? And so I um how many do you really need? And so I um how many do you really need? And so I think as a lot of this Neo cloud stuff think as a lot of this Neo cloud stuff think as a lot of this Neo cloud stuff is coming into the, you know, CSP game, is coming into the, you know, CSP game, is coming into the, you know, CSP game, you probably need less you probably need less you probably need less sales folks because these deals are sales folks because these deals are sales folks because these deals are larger and you probably have um fewer larger and you probably have um fewer larger and you probably have um fewer customers that are bringing in a lot customers that are bringing in a lot customers that are bringing in a lot more revenue. And so you're going to more revenue. And so you're going to more revenue. And so you're going to probably rationalize your business in probably rationalize your business in probably rationalize your business in the in the sense that you're going to the in the sense that you're going to the in the sense that you're going to get rid you're going to put a lot less get rid you're going to put a lot less get rid you're going to put a lot less attention to the smaller customers and attention to the smaller customers and attention to the smaller customers and you're going to automate that as much as you're going to automate that as much as you're going to automate that as much as possible um and in order to scale, possible um and in order to scale, possible um and in order to scale, right? So yeah, but you know what I'm right? So yeah, but you know what I'm right? So yeah, but you know what I'm saying? Is that going to come out in the saying? Is that going to come out in the saying? Is that going to come out in the numbers? numbers? numbers? Would that kind of insight come out in Would that kind of insight come out in Would that kind of insight come out in the numbers? I don't think so. Yeah, but the numbers? I don't think so. Yeah, but the numbers? I don't think so. Yeah, but you're gonna, you know, you're you're gonna, you know, you're you're gonna, you know, you're generating a lot more, a lot of generating a lot more, a lot of generating a lot more, a lot of companies are generating more sales companies are generating more sales companies are generating more sales revenue off of kind of these SAS self-s revenue off of kind of these SAS self-s revenue off of kind of these SAS self-s served models where there aren't sales served models where there aren't sales served models where there aren't sales people as many sales people involved, people as many sales people involved, people as many sales people involved, right? Yeah. Yeah. Yeah. People are right? Yeah. Yeah. Yeah. People are right? Yeah. Yeah. Yeah. People are always looking at cost of sales.

  15. always looking at cost of sales. always looking at cost of sales. Although I I met two people yesterday. Although I I met two people yesterday. Although I I met two people yesterday. One was a tennis person who was in sales One was a tennis person who was in sales One was a tennis person who was in sales who got laid off. Another was like a a who got laid off. Another was like a a who got laid off. Another was like a a 30-year dev from Microsoft that got laid 30-year dev from Microsoft that got laid 30-year dev from Microsoft that got laid off. Yeah. Uh who is like hardcore IoT off. Yeah. Uh who is like hardcore IoT off. Yeah. Uh who is like hardcore IoT embedded dev and uh so it's it's I think embedded dev and uh so it's it's I think embedded dev and uh so it's it's I think it's across the board right in places it's across the board right in places it's across the board right in places where people are spending billions on where people are spending billions on where people are spending billions on nuclearpowered data center buildout they nuclearpowered data center buildout they nuclearpowered data center buildout they need to find that money somewhere and so need to find that money somewhere and so need to find that money somewhere and so yeah maintaining margins means reducing yeah maintaining margins means reducing yeah maintaining margins means reducing headquarters. Yeah. But remember it headquarters. Yeah. But remember it headquarters. Yeah. But remember it wasn't very long ago that Microsoft was wasn't very long ago that Microsoft was wasn't very long ago that Microsoft was hiring a crap ton of people for their hiring a crap ton of people for their hiring a crap ton of people for their industrial metverse. remember that just industrial metverse. remember that just industrial metverse. remember that just two years ago they were a metaverse two years ago they were a metaverse two years ago they were a metaverse company. So everyone needs to remember company. So everyone needs to remember company. So everyone needs to remember that they weren't an AI company. They that they weren't an AI company. They that they weren't an AI company. They were pivoting toward a metaverse company were pivoting toward a metaverse company were pivoting toward a metaverse company to go take an hour or something. Yeah. to go take an hour or something. Yeah. to go take an hour or something. Yeah. So you know it's interesting you know So you know it's interesting you know So you know it's interesting you know Leonard and I sometimes chat about um Leonard and I sometimes chat about um Leonard and I sometimes chat about um you know I mean we all we've talked you know I mean we all we've talked you know I mean we all we've talked about AI what's going to do to jobs about AI what's going to do to jobs about AI what's going to do to jobs replacing skill sets. That's not a new replacing skill sets. That's not a new replacing skill sets. That's not a new discussion topic. I posted you know in discussion topic. I posted you know in discussion topic. I posted you know in our little LinkedIn chat group. I don't our little LinkedIn chat group. I don't our little LinkedIn chat group. I don't know if you it was just a short video know if you it was just a short video know if you it was just a short video clip. You know, Leonard and I sometimes clip. You know, Leonard and I sometimes clip. You know, Leonard and I sometimes go, "Hey, you remember that guy from a go, "Hey, you remember that guy from a go, "Hey, you remember that guy from a few election cycles ago, Andrew Yang, um few election cycles ago, Andrew Yang, um few election cycles ago, Andrew Yang, um who was running for president and he was who was running for president and he was who was running for president and he was the only guy saying, "Hey, this AI thing the only guy saying, "Hey, this AI thing the only guy saying, "Hey, this AI thing is coming and it's going to be a bigger is coming and it's going to be a bigger is coming and it's going to be a bigger deal than all the other stuff that you deal than all the other stuff that you deal than all the other stuff that you guys are all bickering about." Um, you guys are all bickering about." Um, you guys are all bickering about." Um, you know, he talked about the automated know, he talked about the automated know, he talked about the automated truck drivers and all that stuff. Um truck drivers and all that stuff. Um truck drivers and all that stuff. Um anyway, I just saw a clip on I guess it anyway, I just saw a clip on I guess it anyway, I just saw a clip on I guess it was an interview with him on CNN

  16. was an interview with him on CNN was an interview with him on CNN yesterday and um you know he was you yesterday and um you know he was you yesterday and um you know he was you know kind of same same warning bells you know kind of same same warning bells you know kind of same same warning bells you know you know in fact he was talking know you know in fact he was talking know you know in fact he was talking about all the friends of his who have about all the friends of his who have about all the friends of his who have been laid off uh from tech companies and been laid off uh from tech companies and been laid off uh from tech companies and you know just kind of the hey AI is you know just kind of the hey AI is you know just kind of the hey AI is coming for your jobs. Um, and some of coming for your jobs. Um, and some of coming for your jobs. Um, and some of the discussions we've had and I've had the discussions we've had and I've had the discussions we've had and I've had with other people is, you know, it's with other people is, you know, it's with other people is, you know, it's time to, it's now time for people who time to, it's now time for people who time to, it's now time for people who are philosophy majors and policy makers are philosophy majors and policy makers are philosophy majors and policy makers in the government to start thinking in the government to start thinking in the government to start thinking about, and we, I think we've talked about, and we, I think we've talked about, and we, I think we've talked about this before, you know, how do we about this before, you know, how do we about this before, you know, how do we restructure what society is supposed to restructure what society is supposed to restructure what society is supposed to look like, what purpose means for look like, what purpose means for look like, what purpose means for people, what capitalism means, all that people, what capitalism means, all that people, what capitalism means, all that stuff. in a world where lots and lots of stuff. in a world where lots and lots of stuff. in a world where lots and lots of people are going to start losing their people are going to start losing their people are going to start losing their jobs. Not because they're not good jobs. Not because they're not good jobs. Not because they're not good workers, not because they're bad people, workers, not because they're bad people, workers, not because they're bad people, but because you know how it is. We know but because you know how it is. We know but because you know how it is. We know how we we're big boys here. We got our how we we're big boys here. We got our how we we're big boys here. We got our big boy pants on. We know how big big boy pants on. We know how big big boy pants on. We know how big companies work. There's no this companies work. There's no this companies work. There's no this abundance thing where don't worry, we're abundance thing where don't worry, we're abundance thing where don't worry, we're still going to pay you your six figure still going to pay you your six figure still going to pay you your six figure salary even though you're on the beach salary even though you're on the beach salary even though you're on the beach and AI is doing your job. No, they're and AI is doing your job. No, they're and AI is doing your job. No, they're going to lay you off and all these going to lay you off and all these going to lay you off and all these people are going to be unemployed.

  17. people are going to be unemployed. people are going to be unemployed. That's what that's how our society works That's what that's how our society works That's what that's how our society works today. Am I am I make is is this is this today. Am I am I make is is this is this today. Am I am I make is is this is this BS, Leonard, or is it true? Of course, BS, Leonard, or is it true? Of course, BS, Leonard, or is it true? Of course, it's true. They're going to lay you off. it's true. They're going to lay you off. it's true. They're going to lay you off. And so that whole abundance thing And so that whole abundance thing And so that whole abundance thing we have to we have to have policy we have to we have to have policy we have to we have to have policy changes, societal economic policy changes, societal economic policy changes, societal economic policy changes that say how we're all and so changes that say how we're all and so changes that say how we're all and so you remember Andrew Yang was always you remember Andrew Yang was always you remember Andrew Yang was always talking about UBI, right? Yeah. Yeah. talking about UBI, right? Yeah. Yeah. talking about UBI, right? Yeah. Yeah. People need to work on that because People need to work on that because People need to work on that because people need to eat and have a place to people need to eat and have a place to people need to eat and have a place to live. And if we all of a sudden have live. And if we all of a sudden have live. And if we all of a sudden have mass unemployment everywhere because mass unemployment everywhere because mass unemployment everywhere because companies behave the way they behave, companies behave the way they behave, companies behave the way they behave, that's not changed. Um, you know, now that's not changed. Um, you know, now that's not changed. Um, you know, now pretty soon you'll there's weird pretty soon you'll there's weird pretty soon you'll there's weird thresholds you'll hit. When do you hit a thresholds you'll hit. When do you hit a thresholds you'll hit. When do you hit a threshold of unemployment where people threshold of unemployment where people threshold of unemployment where people rise up because people will behave rise up because people will behave rise up because people will behave differently when they're put under differently when they're put under differently when they're put under constraints like that? What happens when constraints like that? What happens when constraints like that? What happens when you hit a threshold that you've laid off you hit a threshold that you've laid off you hit a threshold that you've laid off so many people that there's no one left so many people that there's no one left so many people that there's no one left to buy your products and services of to buy your products and services of to buy your products and services of your newly efficient company? That could your newly efficient company? That could your newly efficient company? That could be a problem, right? Um, and we talked be a problem, right? Um, and we talked be a problem, right? Um, and we talked about do we just plug them in the about do we just plug them in the about do we just plug them in the matrix? Is it going to be like Logan's matrix? Is it going to be like Logan's matrix? Is it going to be like Logan's run? You know, what are we going to do?

  18. run? You know, what are we going to do? run? You know, what are we going to do? Um, but it's it's interesting, you know, Um, but it's it's interesting, you know, Um, but it's it's interesting, you know, I I hear little bits and pieces of I I hear little bits and pieces of I I hear little bits and pieces of people talking about policy. Yeah. Yeah. people talking about policy. Yeah. Yeah. people talking about policy. Yeah. Yeah. You know, so there is a really easy You know, so there is a really easy You know, so there is a really easy outlet for that pressure that you're outlet for that pressure that you're outlet for that pressure that you're talking about, Rob, and it's called talking about, Rob, and it's called talking about, Rob, and it's called crime, cyber crime. It's crime, cyber crime. It's crime, cyber crime. It's that's the other the that's the thing that's the other the that's the thing that's the other the that's the thing that we don't It's weird. I mean, think that we don't It's weird. I mean, think that we don't It's weird. I mean, think about it. How many people talk about about it. How many people talk about about it. How many people talk about what you just outlined and crime what you just outlined and crime what you just outlined and crime together? They don't. That's a good good together? They don't. That's a good good together? They don't. That's a good good point. They really don't. They do things point. They really don't. They do things point. They really don't. They do things that they wouldn't normally do. No, that they wouldn't normally do. No, that they wouldn't normally do. No, they'll steal. But here's the thing. they'll steal. But here's the thing. they'll steal. But here's the thing. There's an asymmetry in how AI enables There's an asymmetry in how AI enables There's an asymmetry in how AI enables all these visions people have about what all these visions people have about what all these visions people have about what it can do and how it can impact XYZ. The it can do and how it can impact XYZ. The it can do and how it can impact XYZ. The thing is the the asymmetrical enablement thing is the the asymmetrical enablement thing is the the asymmetrical enablement is h will happen on the the criminal is h will happen on the the criminal is h will happen on the the criminal economy. We hear Microsoft talk about it economy. We hear Microsoft talk about it economy. We hear Microsoft talk about it all the time. We hear more and more all the time. We hear more and more all the time. We hear more and more people talk about it all the time. And people talk about it all the time. And people talk about it all the time. And the more pressure you put on people uh the more pressure you put on people uh the more pressure you put on people uh economically, right, they're going to economically, right, they're going to economically, right, they're going to resort to crime. And um and they have resort to crime. And um and they have resort to crime. And um and they have the tools for it. And so, you know, the tools for it. And so, you know, the tools for it. And so, you know, think about like um there's a lot of think about like um there's a lot of think about like um there's a lot of countries where you have income countries where you have income countries where you have income inequality. What do people have to do?

  19. inequality. What do people have to do? inequality. What do people have to do? Desperate people resort to whatever it Desperate people resort to whatever it Desperate people resort to whatever it is that's available to them to feed is that's available to them to feed is that's available to them to feed their kids or feed themselves and they their kids or feed themselves and they their kids or feed themselves and they will resort to crime. And so that's that will resort to crime. And so that's that will resort to crime. And so that's that other part of the equation that rarely other part of the equation that rarely other part of the equation that rarely is talked about when especially by these is talked about when especially by these is talked about when especially by these abundance boneheads. I'll call them abundance boneheads. I'll call them abundance boneheads. I'll call them boneheads because anytime I hear them boneheads because anytime I hear them boneheads because anytime I hear them talk about how technology is creating talk about how technology is creating talk about how technology is creating abundance, I I just I more than roll my abundance, I I just I more than roll my abundance, I I just I more than roll my eyes, you know? It's like have you just eyes, you know? It's like have you just eyes, you know? It's like have you just like this rationale that you're you're like this rationale that you're you're like this rationale that you're you're um you know, you're working your way um you know, you're working your way um you know, you're working your way through Rob. it it you end up realizing through Rob. it it you end up realizing through Rob. it it you end up realizing that this doesn't make sense. Do you that this doesn't make sense. Do you that this doesn't make sense. Do you know what I'm saying? The practical know what I'm saying? The practical know what I'm saying? The practical outlet is outlet is outlet is you know prime. Yeah. And it's happening you know prime. Yeah. And it's happening you know prime. Yeah. And it's happening more and more. Yeah. Crypto and Yeah. more and more. Yeah. Crypto and Yeah. more and more. Yeah. Crypto and Yeah. technology. Well, it's it's interesting technology. Well, it's it's interesting technology. Well, it's it's interesting you mentioned crypto. You've seen you mentioned crypto. You've seen you mentioned crypto. You've seen there's a there's a rising of a of a of there's a there's a rising of a of a of there's a there's a rising of a of a of a people being kidnapped.

  20. a people being kidnapped. a people being kidnapped. Oh, what? Yes. Yes. more and more all Oh, what? Yes. Yes. more and more all Oh, what? Yes. Yes. more and more all those especially there was several those especially there was several those especially there was several stories in France a bunch of people who stories in France a bunch of people who stories in France a bunch of people who are related to cryptos are being are related to cryptos are being are related to cryptos are being kidnapped for ransom kidnapped for ransom kidnapped for ransom and the reason like crazy dude yeah and the reason like crazy dude yeah and the reason like crazy dude yeah here's the reasoning which is very here's the reasoning which is very here's the reasoning which is very interesting actually if you think about interesting actually if you think about interesting actually if you think about it if you were to kidnap somebody in the it if you were to kidnap somebody in the it if you were to kidnap somebody in the 70s and want a ransom to get the ransom 70s and want a ransom to get the ransom 70s and want a ransom to get the ransom in cash you had to fight somebody to in cash you had to fight somebody to in cash you had to fight somebody to package the catch and package the catch and package the catch and big Lavowski you know big Lavowski you know big Lavowski you know so you you had a lot of you had a lot so you you had a lot of you had a lot so you you had a lot of you had a lot Yeah, you had a lot of risk of where you Yeah, you had a lot of risk of where you Yeah, you had a lot of risk of where you going to get the ransom. You need an going to get the ransom. You need an going to get the ransom. You need an intermediary. You need all currency intermediary. You need all currency intermediary. You need all currency with a key. Yeah. With crypto, just an with a key. Yeah. With crypto, just an with a key. Yeah. With crypto, just an email with a key. So, it's very easy. email with a key. So, it's very easy. email with a key. So, it's very easy. You kidnap somebody, say, "Send me some You kidnap somebody, say, "Send me some You kidnap somebody, say, "Send me some crypto." And you're done. No crypto." And you're done. No crypto." And you're done. No intermediary, no location, nothing. Hey, intermediary, no location, nothing. Hey, intermediary, no location, nothing. Hey, come on, dude. Don't give people ideas. come on, dude. Don't give people ideas. come on, dude. Don't give people ideas. Geez. them already. Don't worry. TV Geez. them already. Don't worry. TV Geez. them already. Don't worry. TV shows. All the cop shows, lawyer shows, shows. All the cop shows, lawyer shows, shows. All the cop shows, lawyer shows, crime shows give you all the ideas.

  21. crime shows give you all the ideas. crime shows give you all the ideas. Anyway, so yeah. No, but it's it's Anyway, so yeah. No, but it's it's Anyway, so yeah. No, but it's it's interesting how a crime practice that's interesting how a crime practice that's interesting how a crime practice that's had kind of disappeared is reappearing had kind of disappeared is reappearing had kind of disappeared is reappearing because of technology. That's what was because of technology. That's what was because of technology. That's what was so interesting, fascinating to me. Yeah. so interesting, fascinating to me. Yeah. so interesting, fascinating to me. Yeah. So, we have a little short small case So, we have a little short small case So, we have a little short small case study now to show how AI not on the good study now to show how AI not on the good study now to show how AI not on the good side, it super empowers you to do a lot side, it super empowers you to do a lot side, it super empowers you to do a lot more, but then you can also see how a more, but then you can also see how a more, but then you can also see how a company can go, oh great, that I need company can go, oh great, that I need company can go, oh great, that I need fewer of you is one way to look at it. fewer of you is one way to look at it. fewer of you is one way to look at it. or they can say we can do more. So the or they can say we can do more. So the or they can say we can do more. So the crazy thing literally last night I sat crazy thing literally last night I sat crazy thing literally last night I sat down with my favorite buddy Claude down with my favorite buddy Claude down with my favorite buddy Claude and said I want to build an agentic and said I want to build an agentic and said I want to build an agentic framework framework framework and I saw I built I built three versions and I saw I built I built three versions and I saw I built I built three versions of a aentic framework last night until of a aentic framework last night until of a aentic framework last night until about midnight. Um the first one was about midnight. Um the first one was about midnight. Um the first one was just this kind of basic thing just to just this kind of basic thing just to just this kind of basic thing just to kind of get going and spin up agents. kind of get going and spin up agents. kind of get going and spin up agents. the next one started adding more the next one started adding more the next one started adding more capabilities in for uh you know capabilities in for uh you know capabilities in for uh you know configuration management what are they configuration management what are they configuration management what are they you know pre-telling them what to do you you know pre-telling them what to do you you know pre-telling them what to do you know it's all running in a console app know it's all running in a console app know it's all running in a console app you know um and little by little it got you know um and little by little it got you know um and little by little it got better and better and then I was like better and better and then I was like better and better and then I was like okay I need to make sure that the paths okay I need to make sure that the paths okay I need to make sure that the paths to things will work crossplatform and so to things will work crossplatform and so to things will work crossplatform and so we did all that and so so now you know we did all that and so so now you know we did all that and so so now you know in just several hours last night little in just several hours last night little in just several hours last night little old me built an agent framework that old me built an agent framework that old me built an agent framework that runs on you know Linux Mac, Windows, runs on you know Linux Mac, Windows, runs on you know Linux Mac, Windows, whatever. And it creates all these whatever. And it creates all these whatever. And it creates all these agents and they can all go do their

  22. agents and they can all go do their agents and they can all go do their tasks and stuff like that. And it's a tasks and stuff like that. And it's a tasks and stuff like that. And it's a lot of fun for me to do it. And I'm lot of fun for me to do it. And I'm lot of fun for me to do it. And I'm going to keep working on it cuz it's fun going to keep working on it cuz it's fun going to keep working on it cuz it's fun just to it's like, you know, some people just to it's like, you know, some people just to it's like, you know, some people like to work on a cross word puzzle. I like to work on a cross word puzzle. I like to work on a cross word puzzle. I like to write code and this but the like to write code and this but the like to write code and this but the thing is is it's a 100x or a thousandx thing is is it's a 100x or a thousandx thing is is it's a 100x or a thousandx empowering me uh to do this stuff. Now empowering me uh to do this stuff. Now empowering me uh to do this stuff. Now the funny thing and you know we talk the funny thing and you know we talk the funny thing and you know we talk about we've talked about vibe coding about we've talked about vibe coding about we've talked about vibe coding before you actually need to have before you actually need to have before you actually need to have expertise on the space and a lot of how expertise on the space and a lot of how expertise on the space and a lot of how things work in these development things work in these development things work in these development environments because if you don't even environments because if you don't even environments because if you don't even know how to use what the code or what know how to use what the code or what know how to use what the code or what it's giving you you'll still be lost you it's giving you you'll still be lost you it's giving you you'll still be lost you know and so I had to know how to take know and so I had to know how to take know and so I had to know how to take parts these bits of code and create parts these bits of code and create parts these bits of code and create classes and create interfaces and classes and create interfaces and classes and create interfaces and abstract classes and inherit from stuff abstract classes and inherit from stuff abstract classes and inherit from stuff like that but it happened and it and you like that but it happened and it and you like that but it happened and it and you know the that I can wake up this morning know the that I can wake up this morning know the that I can wake up this morning and go, "Oh, wow. I did three versions and go, "Oh, wow. I did three versions and go, "Oh, wow. I did three versions of Magentic Framework last night. How of Magentic Framework last night. How of Magentic Framework last night. How the hell did that happen?" the hell did that happen?" the hell did that happen?" And it's and it's real and it's just And it's and it's real and it's just And it's and it's real and it's just right here, you know? It's like, "Wow, right here, you know? It's like, "Wow, right here, you know? It's like, "Wow, how does that happen?" And so I when we how does that happen?" And so I when we how does that happen?" And so I when we see all our friends at Microsoft and all see all our friends at Microsoft and all see all our friends at Microsoft and all these other tech companies, all these these other tech companies, all these these other tech companies, all these developers getting laid off, th this is developers getting laid off, th this is developers getting laid off, th this is why. And so you're as a company, you're why. And so you're as a company, you're why. And so you're as a company, you're either saying, well, I'm going to create either saying, well, I'm going to create either saying, well, I'm going to create 100x more stuff, products, services, or 100x more stuff, products, services, or 100x more stuff, products, services, or you're going to say, I want to keep you're going to say, I want to keep you're going to say, I want to keep doing the same stuff and I'm going to doing the same stuff and I'm going to doing the same stuff and I'm going to lay off 100x employees because I don't lay off 100x employees because I don't lay off 100x employees because I don't need them because this AI can help do it

  23. need them because this AI can help do it need them because this AI can help do it for me. So, you know, just real world for me. So, you know, just real world for me. So, you know, just real world examples of what's going on, right? examples of what's going on, right? examples of what's going on, right? Yeah, that's interesting. Well, you Yeah, that's interesting. Well, you Yeah, that's interesting. Well, you know, here's one of the interest here's know, here's one of the interest here's know, here's one of the interest here's another interesting observation I've another interesting observation I've another interesting observation I've made around vibe coding, especially with made around vibe coding, especially with made around vibe coding, especially with agents, right? Um, agents, right? Um, agents, right? Um, in act the creation of agents is when in act the creation of agents is when in act the creation of agents is when you do ask people, so how do you test you do ask people, so how do you test you do ask people, so how do you test these things? What's the cycle? you these things? What's the cycle? you these things? What's the cycle? you know, how do you adjust your SDLC to know, how do you adjust your SDLC to know, how do you adjust your SDLC to accommodate for um testing of these accommodate for um testing of these accommodate for um testing of these these, you know, squishy squishy things these, you know, squishy squishy things these, you know, squishy squishy things that you're building? And there's no that you're building? And there's no that you're building? And there's no good answer, which is funny. I mean, I good answer, which is funny. I mean, I good answer, which is funny. I mean, I bump into it all the time. You know, I I bump into it all the time. You know, I I bump into it all the time. You know, I I share it because I I ask the question, I share it because I I ask the question, I share it because I I ask the question, I get the answer, share it with you guys. get the answer, share it with you guys. get the answer, share it with you guys. Uh there there is no. So what really Uh there there is no. So what really Uh there there is no. So what really disturbs me and makes me wonder is when disturbs me and makes me wonder is when disturbs me and makes me wonder is when companies say that they've laid they're companies say that they've laid they're companies say that they've laid they're laying off a crap ton of developers laying off a crap ton of developers laying off a crap ton of developers because they've figured out how to uh because they've figured out how to uh because they've figured out how to uh replace them with AI.

  24. replace them with AI. replace them with AI. I think that's a red flag to tell you I think that's a red flag to tell you I think that's a red flag to tell you the truth, right? Because when you look the truth, right? Because when you look the truth, right? Because when you look at the practices for safe and reliable at the practices for safe and reliable at the practices for safe and reliable and quality code development or software and quality code development or software and quality code development or software development with this AI stuff in all of development with this AI stuff in all of development with this AI stuff in all of its different iterations, whether it's a its different iterations, whether it's a its different iterations, whether it's a rag all the way to a frigin, rag all the way to a frigin, rag all the way to a frigin, you know, AI agents, the practices are you know, AI agents, the practices are you know, AI agents, the practices are not they're halfbaked, man. You know not they're halfbaked, man. You know not they're halfbaked, man. You know what I'm saying? And so when they say, what I'm saying? And so when they say, what I'm saying? And so when they say, oh, you know, we this thing generated oh, you know, we this thing generated oh, you know, we this thing generated what 30% of our code, it's like, yeah, what 30% of our code, it's like, yeah, what 30% of our code, it's like, yeah, but what at what point in the SDLC, but what at what point in the SDLC, but what at what point in the SDLC, right? Because it's usually one or two right? Because it's usually one or two right? Because it's usually one or two tasks and then the rest has to be done tasks and then the rest has to be done tasks and then the rest has to be done by somebody who actually knows what the by somebody who actually knows what the by somebody who actually knows what the hell they're doing to guide um, you hell they're doing to guide um, you hell they're doing to guide um, you know, any kind of AI tool that they're know, any kind of AI tool that they're know, any kind of AI tool that they're using in development of the code or the using in development of the code or the using in development of the code or the application, right?

  25. application, right? application, right? Yeah. And so, yeah, dude, I'm, you know, Yeah. And so, yeah, dude, I'm, you know, Yeah. And so, yeah, dude, I'm, you know, just like it's frustrating to hear this just like it's frustrating to hear this just like it's frustrating to hear this stuff from big companies because to me, stuff from big companies because to me, stuff from big companies because to me, it just tells me you guys are guys are it just tells me you guys are guys are it just tells me you guys are guys are flatout irresponsible. I wouldn't use flatout irresponsible. I wouldn't use flatout irresponsible. I wouldn't use your if I was a buyer, I wouldn't use your if I was a buyer, I wouldn't use your if I was a buyer, I wouldn't use your freaking product because you're your freaking product because you're your freaking product because you're just demonstrating lack of discernment. just demonstrating lack of discernment. just demonstrating lack of discernment. Yeah. To stop using every tech company's Yeah. To stop using every tech company's Yeah. To stop using every tech company's product then. Well, the the devil is in product then. Well, the the devil is in product then. Well, the the devil is in the details. The problem is that they the details. The problem is that they the details. The problem is that they don't really tell us or the people how don't really tell us or the people how don't really tell us or the people how they actually injecting AI in their they actually injecting AI in their they actually injecting AI in their coding process as you said. So, it's coding process as you said. So, it's coding process as you said. So, it's it's a total a total black box right now it's a total a total black box right now it's a total a total black box right now and you have no clue. The other concern and you have no clue. The other concern and you have no clue. The other concern I've always had myself is these AI I've always had myself is these AI I've always had myself is these AI models can be betrayed on existing code. models can be betrayed on existing code. models can be betrayed on existing code. There's a lot of [ __ ] and crap, pardon There's a lot of [ __ ] and crap, pardon There's a lot of [ __ ] and crap, pardon my French, in existing code. Yeah. Yeah. my French, in existing code. Yeah. Yeah. my French, in existing code. Yeah. Yeah. Yeah, the output of those things. So I Yeah, the output of those things. So I Yeah, the output of those things. So I think if you put like into the hands of think if you put like into the hands of think if you put like into the hands of somebody that has extended experience of somebody that has extended experience of somebody that has extended experience of architecture and all technologies like architecture and all technologies like architecture and all technologies like Rob and and to a minor extent myself, Rob and and to a minor extent myself, Rob and and to a minor extent myself, yeah, you can create great stuff, but yeah, you can create great stuff, but yeah, you can create great stuff, but still how much Rob how much time do you still how much Rob how much time do you still how much Rob how much time do you spend asking the a the AI agent, you spend asking the a the AI agent, you spend asking the a the AI agent, you know, how robust is that code? Is it know, how robust is that code? Is it know, how robust is that code? Is it resilient? What happen if this, what resilient? What happen if this, what resilient? What happen if this, what happen if that? Probably not that much.

  26. happen if that? Probably not that much. happen if that? Probably not that much. So uh well yeah and and Rob I'm not So uh well yeah and and Rob I'm not So uh well yeah and and Rob I'm not saying that um you there's a right way saying that um you there's a right way saying that um you there's a right way of a better way of doing stuff right of a better way of doing stuff right of a better way of doing stuff right safer ways of doing stuff. The question safer ways of doing stuff. The question safer ways of doing stuff. The question is is are those best practices is is are those best practices is is are those best practices um are those like um yeah I mean it um are those like um yeah I mean it um are those like um yeah I mean it really best practices and risk really best practices and risk really best practices and risk mitigations there embedded into that mitigations there embedded into that mitigations there embedded into that variety of SDLC variety of SDLC variety of SDLC methodology. methodology. methodology. Um, that's the big question, right? But Um, that's the big question, right? But Um, that's the big question, right? But what I'm I'm referring to is companies what I'm I'm referring to is companies what I'm I'm referring to is companies that go around saying, "We eliminated a that go around saying, "We eliminated a that go around saying, "We eliminated a [ __ ] ton of developers because AI [ __ ] ton of developers because AI [ __ ] ton of developers because AI replaced them." That's the kind of replaced them." That's the kind of replaced them." That's the kind of mentality that makes me wonder whether mentality that makes me wonder whether mentality that makes me wonder whether or not this company actually knows how or not this company actually knows how or not this company actually knows how to safely and responsibly adopt AI. to safely and responsibly adopt AI. to safely and responsibly adopt AI. That's the point, right? That's the point, right? That's the point, right? are people there are companies that get are people there are companies that get are people there are companies that get it and when they probably don't allow it and when they probably don't allow it and when they probably don't allow vibe coding they've adjusted their vibe coding they've adjusted their vibe coding they've adjusted their software development practices to ensure software development practices to ensure software development practices to ensure that if you are using these tools you that if you are using these tools you that if you are using these tools you use it in only specific steps in the the use it in only specific steps in the the use it in only specific steps in the the development life cycle you know what I'm development life cycle you know what I'm development life cycle you know what I'm saying test life cycle and then if saying test life cycle and then if saying test life cycle and then if you're using as tooling for CI/CD dude you're using as tooling for CI/CD dude you're using as tooling for CI/CD dude come on even Google doesn't recommend come on even Google doesn't recommend come on even Google doesn't recommend that you use generative AI guy in doing that you use generative AI guy in doing that you use generative AI guy in doing any kind of the uh any of the release any kind of the uh any of the release any kind of the uh any of the release functions, right? There's like warnings.

  27. functions, right? There's like warnings. functions, right? There's like warnings. It's like uh do this [ __ ] on your at It's like uh do this [ __ ] on your at It's like uh do this [ __ ] on your at your own risk, but people do it anyways, your own risk, but people do it anyways, your own risk, but people do it anyways, right? Like certain security companies right? Like certain security companies right? Like certain security companies that are getting lazy about how they, that are getting lazy about how they, that are getting lazy about how they, you know, it's like you're talking about you know, it's like you're talking about you know, it's like you're talking about when Java came out from Sun and the when Java came out from Sun and the when Java came out from Sun and the little text file says, "Do not use this little text file says, "Do not use this little text file says, "Do not use this with nuclear reactors or mission with nuclear reactors or mission with nuclear reactors or mission critical systems. Do not use Java for critical systems. Do not use Java for critical systems. Do not use Java for this." And by the way the other I mean this." And by the way the other I mean this." And by the way the other I mean the other question is what are they the other question is what are they the other question is what are they using for what type of code? What is the using for what type of code? What is the using for what type of code? What is the use case? Are they using that to build use case? Are they using that to build use case? Are they using that to build new application or existing application? new application or existing application? new application or existing application? Because this is my Dimmitri Rambling my Because this is my Dimmitri Rambling my Because this is my Dimmitri Rambling my Microsoft moment now. So this new Microsoft moment now. So this new Microsoft moment now. So this new project I started we use Microsoft Teams project I started we use Microsoft Teams project I started we use Microsoft Teams and back to Microsoft Office. and back to Microsoft Office. and back to Microsoft Office. The PowerPoint version you have in Teams The PowerPoint version you have in Teams The PowerPoint version you have in Teams compared to the PowerPoint version you compared to the PowerPoint version you compared to the PowerPoint version you have on your desktop compared to the have on your desktop compared to the have on your desktop compared to the PowerPoint version you have on online on PowerPoint version you have on online on PowerPoint version you have on online on Office 365 have all different Office 365 have all different Office 365 have all different functionalities and different bugs. And functionalities and different bugs. And functionalities and different bugs. And when you move from one to the other so when you move from one to the other so when you move from one to the other so when I hear Microsoft saying 20% of the when I hear Microsoft saying 20% of the when I hear Microsoft saying 20% of the code is generated by AI, I want to say code is generated by AI, I want to say code is generated by AI, I want to say go fix that crap first. And you know go fix that crap first. And you know go fix that crap first. And you know what is you know what is worse is every what is you know what is worse is every what is you know what is worse is every other colleague I talk to their reaction other colleague I talk to their reaction other colleague I talk to their reaction is not that pisses me off. I'm going to is not that pisses me off. I'm going to is not that pisses me off. I'm going to move out is oh no it's Microsoft it's move out is oh no it's Microsoft it's move out is oh no it's Microsoft it's normal normal normal this word of that's how I think perhaps this word of that's how I think perhaps this word of that's how I think perhaps of I mean I'm going to write a LinkedIn of I mean I'm going to write a LinkedIn of I mean I'm going to write a LinkedIn post after this polard but I have a post after this polard but I have a post after this polard but I have a screenshot of I have word open in 365 screenshot of I have word open in 365 screenshot of I have word open in 365 and the same document on the desktop on and the same document on the desktop on and the same document on the desktop on the 365 it said default font calibra on

  28. the 365 it said default font calibra on the 365 it said default font calibra on the other one said default font opto the other one said default font opto the other one said default font opto same document same document same document what do you think you're going to write what do you think you're going to write what do you think you're going to write a strongly worded LinkedIn post I am a strongly worded LinkedIn post I am a strongly worded LinkedIn post I am going do because and I know and I know going do because and I know and I know going do because and I know and I know why it's because the idiot that wrote why it's because the idiot that wrote why it's because the idiot that wrote the code doesn't understand metadata and the code doesn't understand metadata and the code doesn't understand metadata and why the metadata is wrong. I know that. why the metadata is wrong. I know that. why the metadata is wrong. I know that. So is AI can AI fix that? I don't know. So is AI can AI fix that? I don't know. So is AI can AI fix that? I don't know. But that would be a great use case to But that would be a great use case to But that would be a great use case to actually point this AI to all the I'm actually point this AI to all the I'm actually point this AI to all the I'm going to say shitty code that they've going to say shitty code that they've going to say shitty code that they've been reading for years. That being said been reading for years. That being said been reading for years. That being said though, there is there is a grain of though, there is there is a grain of though, there is there is a grain of truth. I mean, Microsoft has had Office truth. I mean, Microsoft has had Office truth. I mean, Microsoft has had Office for the Mac and Office on PC for for the Mac and Office on PC for for the Mac and Office on PC for decades, and the functionality has never decades, and the functionality has never decades, and the functionality has never really been in sync. In fact, there was really been in sync. In fact, there was really been in sync. In fact, there was a totally separate team in Mac Office, a totally separate team in Mac Office, a totally separate team in Mac Office, totally separate from the Office team. totally separate from the Office team. totally separate from the Office team. And actually, Rob knows this too. When And actually, Rob knows this too. When And actually, Rob knows this too. When we when we wrote uh Office for Windows we when we wrote uh Office for Windows we when we wrote uh Office for Windows Mobile, that wasn't the Office team Mobile, that wasn't the Office team Mobile, that wasn't the Office team either. That was a totally separate team either. That was a totally separate team either. That was a totally separate team like the Office logo. But that was like the Office logo. But that was like the Office logo. But that was developed that was developed in a world developed that was developed in a world developed that was developed in a world where we didn't had online collaboration where we didn't had online collaboration where we didn't had online collaboration and had to exchange the documents. So and had to exchange the documents. So and had to exchange the documents. So you had the Windows guys and the Mac you had the Windows guys and the Mac you had the Windows guys and the Mac guys and at the end of the day the guys and at the end of the day the guys and at the end of the day the output was a presentation the Mac guy or output was a presentation the Mac guy or output was a presentation the Mac guy or the Windows. Sure. But it's not always the Windows. Sure. But it's not always the Windows. Sure. But it's not always the collaboration tools that are the the collaboration tools that are the the collaboration tools that are the issue. The issue is just the human issue. The issue is just the human issue. The issue is just the human collaboration is the issue. No, no, but collaboration is the issue. No, no, but collaboration is the issue. No, no, but that's No, no, that's a tool that's No, no, that's a tool that's No, no, that's a tool collaboration things. When when someone collaboration things. When when someone collaboration things. When when someone uses my document to make comments, some uses my document to make comments, some uses my document to make comments, some fonts disappears, some bullet points get fonts disappears, some bullet points get fonts disappears, some bullet points get transformed into text. So it's a painful transformed into text. So it's a painful transformed into text. So it's a painful experience. Oh yeah. No, I understand experience. Oh yeah. No, I understand experience. Oh yeah. No, I understand that. No, I I agree. I'm just saying that. No, I I agree. I'm just saying that. No, I I agree. I'm just saying like there there is when someone says,

  29. like there there is when someone says, like there there is when someone says, "Well, that's Microsoft." I think "Well, that's Microsoft." I think "Well, that's Microsoft." I think they've sort of set the expectation that they've sort of set the expectation that they've sort of set the expectation that they will have multiple they will have multiple they will have multiple functionality blocks depending on where functionality blocks depending on where functionality blocks depending on where you're interacting. Well, I'm sorry, but you're interacting. Well, I'm sorry, but you're interacting. Well, I'm sorry, but not saying it's right. not saying it's right. not saying it's right. We've all been uh calibrated to that. So We've all been uh calibrated to that. So We've all been uh calibrated to that. So you were talking about Demetri, you were you were talking about Demetri, you were you were talking about Demetri, you were there's this built-in trust that people there's this built-in trust that people there's this built-in trust that people have that if it came from Microsoft it have that if it came from Microsoft it have that if it came from Microsoft it must be okay. Not anymore. Yeah. It's must be okay. Not anymore. Yeah. It's must be okay. Not anymore. Yeah. It's okay to be crap. Yeah. That's the okay to be crap. Yeah. That's the okay to be crap. Yeah. That's the expectation. That's expectation. And and expectation. That's expectation. And and expectation. That's expectation. And and my point in all this discussion was I my point in all this discussion was I my point in all this discussion was I think we could probably take a good use think we could probably take a good use think we could probably take a good use of AI to not try to do those complicated of AI to not try to do those complicated of AI to not try to do those complicated things that human do but to fix the things that human do but to fix the things that human do but to fix the basic problem that human have every basic problem that human have every basic problem that human have every single day to do their job. I mean, I single day to do their job. I mean, I single day to do their job. I mean, I try to ask simple things to copilot and try to ask simple things to copilot and try to ask simple things to copilot and I get no answer for that. But that's too I get no answer for that. But that's too I get no answer for that. But that's too broad. I mean, to to ask for something broad. I mean, to to ask for something broad. I mean, to to ask for something like that. You're not talking about just like that. You're not talking about just like that. You're not talking about just AI and and the code. You're talking AI and and the code. You're talking AI and and the code. You're talking about interoperability, which has been a about interoperability, which has been a about interoperability, which has been a tremendous problem across the board no tremendous problem across the board no tremendous problem across the board no matter what.

  30. matter what. matter what. Yeah. So, but Yeah. So, but Yeah. So, but the question is where are we pointing the question is where are we pointing the question is where are we pointing where are we pointing the AI? We're where are we pointing the AI? We're where are we pointing the AI? We're trying to point the eye to very trying to point the eye to very trying to point the eye to very intelligent things so-called as opposed intelligent things so-called as opposed intelligent things so-called as opposed really fix the foundational hurdle really fix the foundational hurdle really fix the foundational hurdle little problem. I'm working on a little problem. I'm working on a little problem. I'm working on a calendar meeting. I want to get a calendar meeting. I want to get a calendar meeting. I want to get a document. He should figure out I've been document. He should figure out I've been document. He should figure out I've been working on this document and drop it up working on this document and drop it up working on this document and drop it up immediately as opposed to you trying to immediately as opposed to you trying to immediately as opposed to you trying to do rocket science with it. It's just my do rocket science with it. It's just my do rocket science with it. It's just my point here. Enough of rambling. I'm point here. Enough of rambling. I'm point here. Enough of rambling. I'm cooling down now. It's Well, you could cooling down now. It's Well, you could cooling down now. It's Well, you could argue though, you don't really need AI argue though, you don't really need AI argue though, you don't really need AI to do the basics. I mean, you just need to do the basics. I mean, you just need to do the basics. I mean, you just need the will priority. That's my point. I do the will priority. That's my point. I do the will priority. That's my point. I do because there's a ton of little things because there's a ton of little things because there's a ton of little things you do every single day. Copy pasting, you do every single day. Copy pasting, you do every single day. Copy pasting, opening different things which some opening different things which some opening different things which some things that understand the context things that understand the context things that understand the context should be able to fastly accelerate and should be able to fastly accelerate and should be able to fastly accelerate and make your life easy and your job more make your life easy and your job more make your life easy and your job more enjoyable. Yeah, there's stuff you want enjoyable. Yeah, there's stuff you want enjoyable. Yeah, there's stuff you want to do though. You know how um you know I to do though. You know how um you know I to do though. You know how um you know I over say it. People need purpose and over say it. People need purpose and over say it. People need purpose and you could just give people money or you you could just give people money or you you could just give people money or you could just take away all their stuff and could just take away all their stuff and could just take away all their stuff and then they'd be rudderless. Still, people then they'd be rudderless. Still, people then they'd be rudderless. Still, people want to do something. They want to have want to do something. They want to have want to do something. They want to have purpose in life. They enjoy stuff. So purpose in life. They enjoy stuff. So purpose in life. They enjoy stuff. So when I posted on Twitter on X that I when I posted on Twitter on X that I when I posted on Twitter on X that I built this framework last night, you built this framework last night, you built this framework last night, you know, someone goes, "Why would you do know, someone goes, "Why would you do know, someone goes, "Why would you do that? Why don't you use such and such a that? Why don't you use such and such a that? Why don't you use such and such a gente framework?" And I my answer is gente framework?" And I my answer is gente framework?" And I my answer is just I like to code. I like to build just I like to code. I like to build just I like to code. I like to build stuff. It's fun. You know, if the answer stuff. It's fun. You know, if the answer stuff. It's fun. You know, if the answer to everything we ever want to do is you to everything we ever want to do is you to everything we ever want to do is you shouldn't do that. There's already such shouldn't do that. There's already such shouldn't do that. There's already such and such out there. You should just and such out there. You should just and such out there. You should just stop. It's kind of like I was like,

  31. stop. It's kind of like I was like, stop. It's kind of like I was like, yeah, I remember people saying that yeah, I remember people saying that yeah, I remember people saying that after I went to Hitachi, you know, and after I went to Hitachi, you know, and after I went to Hitachi, you know, and they're like, why are you building they're like, why are you building they're like, why are you building another IoT platform? Why don't you just another IoT platform? Why don't you just another IoT platform? Why don't you just use Azure IoT or whatever, use Azure IoT or whatever, use Azure IoT or whatever, you know, and then, you know, we built you know, and then, you know, we built you know, and then, you know, we built Lumata and twins and we were in the Lumata and twins and we were in the Lumata and twins and we were in the leaders quadrant. So, those people can leaders quadrant. So, those people can leaders quadrant. So, those people can suck it. suck it. suck it. Big question though, Rob, is what's with Big question though, Rob, is what's with Big question though, Rob, is what's with the the fascination with Bradley Cooper? the the fascination with Bradley Cooper? the the fascination with Bradley Cooper? Oh, yeah. It just it came out that way. Oh, yeah. It just it came out that way. Oh, yeah. It just it came out that way. I guess I really look like that. I can't I guess I really look like that. I can't I guess I really look like that. I can't help it. I can't. I want to see the help it. I can't. I want to see the help it. I can't. I want to see the prompt. The prompt was it create an prompt. The prompt was it create an prompt. The prompt was it create an avatar of me that looks like Bradley avatar of me that looks like Bradley avatar of me that looks like Bradley Cooper. Tell me something, girl. Yeah. Cooper. Tell me something, girl. Yeah. Cooper. Tell me something, girl. Yeah. Yeah. You know, there it is again. See Yeah. You know, there it is again. See Yeah. You know, there it is again. See Bradley Cooper. Oh, yeah. It must be there, you know. Oh, yeah. It must be there, you know. Um, Um, Um, so I use the playground app that comes so I use the playground app that comes so I use the playground app that comes with your iPhone and there's no prompt. with your iPhone and there's no prompt. with your iPhone and there's no prompt. It just says, "Show me pictures of you It just says, "Show me pictures of you It just says, "Show me pictures of you that you've got locally on your phone." that you've got locally on your phone." that you've got locally on your phone." And then it makes some AI versions and And then it makes some AI versions and And then it makes some AI versions and pick one, you know, and it just happened pick one, you know, and it just happened pick one, you know, and it just happened to be that I look just like Bradley to be that I look just like Bradley to be that I look just like Bradley Cooper, apparently. So, you're just Cooper, apparently. So, you're just Cooper, apparently. So, you're just giving up your data. Just go ahead, have giving up your data. Just go ahead, have giving up your data. Just go ahead, have that. Yeah. Like, you've never done that that. Yeah. Like, you've never done that that. Yeah. Like, you've never done that before.

  32. So, okay. So, so get this right. All So, okay. So, so get this right. All right. I mean, it's funny, Rob. You tip, right. I mean, it's funny, Rob. You tip, right. I mean, it's funny, Rob. You tip, that's typically you open up a can of that's typically you open up a can of that's typically you open up a can of worms. Um, but I mean, if you look, it's worms. Um, but I mean, if you look, it's worms. Um, but I mean, if you look, it's every single place that you can find. It every single place that you can find. It every single place that you can find. It doesn't matter what it is, right? You doesn't matter what it is, right? You doesn't matter what it is, right? You can buy vitamins. They want you to buy a can buy vitamins. They want you to buy a can buy vitamins. They want you to buy a subscription. They want to send it to subscription. They want to send it to subscription. They want to send it to you every month. And oh, by the way, you every month. And oh, by the way, you every month. And oh, by the way, when you look at the Now, they don't when you look at the Now, they don't when you look at the Now, they don't have ULAS, right? But they just have have ULAS, right? But they just have have ULAS, right? But they just have this fine print that says, oh, by the this fine print that says, oh, by the this fine print that says, oh, by the way, you know, your data, it's ours. way, you know, your data, it's ours. way, you know, your data, it's ours. Yeah. And there's no opt out. There's no Yeah. And there's no opt out. There's no Yeah. And there's no opt out. There's no there's none of this. This is in the in there's none of this. This is in the in there's none of this. This is in the in just regular vitamins. just regular vitamins. just regular vitamins. How much more if you go anywhere else. How much more if you go anywhere else. How much more if you go anywhere else. Oh, and and and they're using AI to Oh, and and and they're using AI to Oh, and and and they're using AI to write these things to kind of lock you write these things to kind of lock you write these things to kind of lock you in. Yeah. in. Yeah. in. Yeah. Yeah. I mean, it it's just the the whole Yeah. I mean, it it's just the the whole Yeah. I mean, it it's just the the whole the whole I mean, the the world is crazy the whole I mean, the the world is crazy the whole I mean, the the world is crazy right now and trying to make sense of it right now and trying to make sense of it right now and trying to make sense of it will drive you crazy. Yeah, that's true.

  33. will drive you crazy. Yeah, that's true. will drive you crazy. Yeah, that's true. Yeah. Yeah. Yeah. Yeah. Oh my gosh. That Yeah. Yeah. Yeah. Yeah. Oh my gosh. That Yeah. Yeah. Yeah. Yeah. Oh my gosh. That that that's the challenge right now, that that's the challenge right now, that that's the challenge right now, even as an analyst, right? And Rob, you even as an analyst, right? And Rob, you even as an analyst, right? And Rob, you probably sense this now that you're in probably sense this now that you're in probably sense this now that you're in the game and uh and that Matt Eastwood the game and uh and that Matt Eastwood the game and uh and that Matt Eastwood loves your ass. He thinks you're loves your ass. He thinks you're loves your ass. He thinks you're awesome. I had a chat with him. So yeah, awesome. I had a chat with him. So yeah, awesome. I had a chat with him. So yeah, he said you you really well. It it's he said you you really well. It it's he said you you really well. It it's really tough for analysts, right? really tough for analysts, right? really tough for analysts, right? Because it it it's such a squishy Because it it it's such a squishy Because it it it's such a squishy situation. situation. situation. It's hard to get any bearing because It's hard to get any bearing because It's hard to get any bearing because there are no guard rails. You I mean there are no guard rails. You I mean there are no guard rails. You I mean whatever you think is like a sensible whatever you think is like a sensible whatever you think is like a sensible thing gets twisted all of a sudden you thing gets twisted all of a sudden you thing gets twisted all of a sudden you know like sort of what happened today know like sort of what happened today know like sort of what happened today with with with a particular exchange of weaponry that's a particular exchange of weaponry that's a particular exchange of weaponry that's happening in the Middle East right you happening in the Middle East right you happening in the Middle East right you know none of the stuff the stuff that know none of the stuff the stuff that know none of the stuff the stuff that would conventionally would conventionally would conventionally or at least in the in a previous world or at least in the in a previous world or at least in the in a previous world order you wouldn't think that would it order you wouldn't think that would it order you wouldn't think that would it would happen happens right And um that would happen happens right And um that would happen happens right And um that even um applies to the the um tech even um applies to the the um tech even um applies to the the um tech universe. Yeah. you know, really, you universe. Yeah. you know, really, you universe. Yeah. you know, really, you know, this crazy world. You never expect know, this crazy world. You never expect know, this crazy world. You never expect to see posts like on Facebook from to see posts like on Facebook from to see posts like on Facebook from someone, you know, from a long time ago someone, you know, from a long time ago someone, you know, from a long time ago from Microsoft from Microsoft from Microsoft saying, "Oh, you know, was woken up at saying, "Oh, you know, was woken up at saying, "Oh, you know, was woken up at 3:00 a.m. this morning at my hotel in 3:00 a.m. this morning at my hotel in 3:00 a.m. this morning at my hotel in Tel Aviv and had to rush down to the Tel Aviv and had to rush down to the Tel Aviv and had to rush down to the underground bunker, you know, and so underground bunker, you know, and so underground bunker, you know, and so it's like, what a world, right? I think

  34. it's like, what a world, right? I think it's like, what a world, right? I think maybe we have so much uh sensory maybe we have so much uh sensory maybe we have so much uh sensory stimulation that um people need to say stimulation that um people need to say stimulation that um people need to say and do even more and more outrageous and do even more and more outrageous and do even more and more outrageous things just to break through. Maybe that things just to break through. Maybe that things just to break through. Maybe that goes for foreign policy as well. It's goes for foreign policy as well. It's goes for foreign policy as well. It's like you know quiet diplomacy doesn't like you know quiet diplomacy doesn't like you know quiet diplomacy doesn't work there. Yeah, there's definitely work there. Yeah, there's definitely work there. Yeah, there's definitely over simulation and escalation there. over simulation and escalation there. over simulation and escalation there. And and I think Leonard, you said the And and I think Leonard, you said the And and I think Leonard, you said the world world order they used to be a world world order they used to be a world world order they used to be a world order. You can pretty much argue world order. You can pretty much argue world order. You can pretty much argue that this is going away. It's not that this is going away. It's not that this is going away. It's not ordered anymore. No. No, no, no. It's ordered anymore. No. No, no, no. It's ordered anymore. No. No, no, no. It's been it's destabilized and um a lot of been it's destabilized and um a lot of been it's destabilized and um a lot of it um is I think a lot of damage is yet it um is I think a lot of damage is yet it um is I think a lot of damage is yet to come from this let's say to come from this let's say to come from this let's say destabilization or you know fragmenting destabilization or you know fragmenting destabilization or you know fragmenting that's happening. Um because once the US that's happening. Um because once the US that's happening. Um because once the US dollar dollar dollar loses its power, loses its power, loses its power, we're going to have a lot of interesting we're going to have a lot of interesting we're going to have a lot of interesting days to look forward to. So, and you days to look forward to. So, and you days to look forward to. So, and you know that that's the thing about crypto. know that that's the thing about crypto. know that that's the thing about crypto. A lot of people are looking at crypto as A lot of people are looking at crypto as A lot of people are looking at crypto as some sort of getrich type of scheme, but some sort of getrich type of scheme, but some sort of getrich type of scheme, but you know the I I have to tell my mom you know the I I have to tell my mom you know the I I have to tell my mom this because she keeps telling me to this because she keeps telling me to this because she keeps telling me to invest in crypto. I don't for a very invest in crypto. I don't for a very invest in crypto. I don't for a very fundamental reason.

  35. fundamental reason. fundamental reason. Number one, if you were in the crypto Number one, if you were in the crypto Number one, if you were in the crypto community or you were tracking the community or you were tracking the community or you were tracking the crypto community back even before crypto community back even before crypto community back even before people were talking about blockchain and people were talking about blockchain and people were talking about blockchain and all this other stuff and it be it came all this other stuff and it be it came all this other stuff and it be it came into vogue, a lot of the folks who are into vogue, a lot of the folks who are into vogue, a lot of the folks who are in that community are are Russian. Okay. in that community are are Russian. Okay. in that community are are Russian. Okay. And at that time blockchain and crypto And at that time blockchain and crypto And at that time blockchain and crypto became a thing simply because became a thing simply because became a thing simply because um you know at at that time people may um you know at at that time people may um you know at at that time people may recall that's when uh Russia recall that's when uh Russia recall that's when uh Russia um invaded Crimea and then there were um invaded Crimea and then there were um invaded Crimea and then there were sanctions applied to Russia right and sanctions applied to Russia right and sanctions applied to Russia right and when you looked at the crypto community when you looked at the crypto community when you looked at the crypto community it was almost like you went you were it was almost like you went you were it was almost like you went you were participating in some sort of uh you participating in some sort of uh you participating in some sort of uh you know pyramid marketing type of know pyramid marketing type of know pyramid marketing type of right, with all these folks getting up right, with all these folks getting up right, with all these folks getting up on stage on stage on stage um instead of presenting screaming and um instead of presenting screaming and um instead of presenting screaming and yelling in a ridiculous excitement yelling in a ridiculous excitement yelling in a ridiculous excitement because their their Bitcoin went from because their their Bitcoin went from because their their Bitcoin went from like 0.1 cent to like a dollar.

  36. like 0.1 cent to like a dollar. like 0.1 cent to like a dollar. And um I mean I don't think we do I have And um I mean I don't think we do I have And um I mean I don't think we do I have to remind people how much like to remind people how much like to remind people how much like criminality criminality criminality uh was associated with crypto from the uh was associated with crypto from the uh was associated with crypto from the very beginning traceable currency. Yeah. very beginning traceable currency. Yeah. very beginning traceable currency. Yeah. Yeah. And then so when you look at the Yeah. And then so when you look at the Yeah. And then so when you look at the fact when you consider the fact that fact when you consider the fact that fact when you consider the fact that even today nobody can figure out what even today nobody can figure out what even today nobody can figure out what the hell crypto is and it's funny cuz the hell crypto is and it's funny cuz the hell crypto is and it's funny cuz you can go to coin coindesk and watch you can go to coin coindesk and watch you can go to coin coindesk and watch their their stuff and I occasionally do their their stuff and I occasionally do their their stuff and I occasionally do that just cuz I want to know have these that just cuz I want to know have these that just cuz I want to know have these idiots figured this stuff out yet? You idiots figured this stuff out yet? You idiots figured this stuff out yet? You have financial institutions that haven't have financial institutions that haven't have financial institutions that haven't figured it out yet. figured it out yet. figured it out yet. they will get on on television and say, they will get on on television and say, they will get on on television and say, "Well, we don't know what the um "Well, we don't know what the um "Well, we don't know what the um intrinsic value and uh the fundamentals intrinsic value and uh the fundamentals intrinsic value and uh the fundamentals are for this thing." There's no are for this thing." There's no are for this thing." There's no fundamentals. There's no intrinsic fundamentals. There's no intrinsic fundamentals. There's no intrinsic value. There's nothing backing it, value. There's nothing backing it, value. There's nothing backing it, right? And it's owned by these whales right? And it's owned by these whales right? And it's owned by these whales who own probably 90% of all the Yeah. I who own probably 90% of all the Yeah. I who own probably 90% of all the Yeah. I mean, I do know a lot of people who I mean, I do know a lot of people who I mean, I do know a lot of people who I know people got rich off of Bitcoin, but know people got rich off of Bitcoin, but know people got rich off of Bitcoin, but they were minors early on, right? And is they were minors early on, right? And is they were minors early on, right? And is this the point in the show where we this the point in the show where we this the point in the show where we introduce the IoT coffee talk memecoin?

  37. introduce the IoT coffee talk memecoin? introduce the IoT coffee talk memecoin? Yes. Yes. I think it's time. I think Yes. Yes. I think it's time. I think Yes. Yes. I think it's time. I think it's time. All right, let's roll it out. it's time. All right, let's roll it out. it's time. All right, let's roll it out. And every We're going to give 10% of our And every We're going to give 10% of our And every We're going to give 10% of our kids. 10. Yeah. To to the kids. You kids. 10. Yeah. To to the kids. You kids. 10. Yeah. To to the kids. You know, the rest of us will be for our know, the rest of us will be for our know, the rest of us will be for our palaces that we all be buying in the palaces that we all be buying in the palaces that we all be buying in the greater um Dripping Springs metro. After greater um Dripping Springs metro. After greater um Dripping Springs metro. After after we you know, after we cover our after we you know, after we cover our after we you know, after we cover our costs. After we cover our cost where I costs. After we cover our cost where I costs. After we cover our cost where I high very high cost. Repeat. Let's roll high very high cost. Repeat. Let's roll high very high cost. Repeat. Let's roll it out. I thought he was about to say it out. I thought he was about to say it out. I thought he was about to say let's roll it up. I was like, let's roll it up. I was like, let's roll it up. I was like, we need Well, you know, it's almost the we need Well, you know, it's almost the we need Well, you know, it's almost the weekend, Bill. I got a lot of green weekend, Bill. I got a lot of green weekend, Bill. I got a lot of green stuff in my background. I'm saying I'm stuff in my background. I'm saying I'm stuff in my background. I'm saying I'm like I was about to be like, Pete, where like I was about to be like, Pete, where like I was about to be like, Pete, where you at? I'm on my way. But seriously, guys, that could be a But seriously, guys, that could be a cool, you know, AIdriven IoT coffee talk cool, you know, AIdriven IoT coffee talk cool, you know, AIdriven IoT coffee talk uh AI experiment. Let's use some AI to uh AI experiment. Let's use some AI to uh AI experiment. Let's use some AI to create our meme coin. There you go. create our meme coin. There you go. create our meme coin. There you go. Yeah. Ah, let's just do it. Yeah, launch Yeah. Ah, let's just do it. Yeah, launch Yeah. Ah, let's just do it. Yeah, launch it. Who cares? Maybe I heard it only it. Who cares? Maybe I heard it only it. Who cares? Maybe I heard it only five minutes. It only takes on that five minutes. It only takes on that five minutes. It only takes on that website, didn't we? Or you can have coin website, didn't we? Or you can have coin website, didn't we? Or you can have coin and get, you know, I want to see it on and get, you know, I want to see it on and get, you know, I want to see it on Coinbase, man. Yeah, maybe we should do Coinbase, man. Yeah, maybe we should do Coinbase, man. Yeah, maybe we should do No, but that would defeat the purpose of No, but that would defeat the purpose of No, but that would defeat the purpose of the of the of the like-minded and the of the of the like-minded and the of the of the like-minded and inspirational people we are. We don't inspirational people we are. We don't inspirational people we are. We don't want to depend on the platform that we want to depend on the platform that we want to depend on the platform that we don't control. The whole point about don't control. The whole point about don't control. The whole point about this crypto ecosystem is supposedly this this crypto ecosystem is supposedly this this crypto ecosystem is supposedly this is why actually it doesn't work for is why actually it doesn't work for is why actually it doesn't work for financial institution because there's a financial institution because there's a financial institution because there's a fundamental independence mismatch the fundamental independence mismatch the fundamental independence mismatch the way they manage money is centralized the way they manage money is centralized the way they manage money is centralized the way the technologies is decentralized way the technologies is decentralized way the technologies is decentralized with no ownership. So we don't want to with no ownership. So we don't want to with no ownership. So we don't want to be dependent on another platform. So we

  38. be dependent on another platform. So we be dependent on another platform. So we will have to have our own platform is will have to have our own platform is will have to have our own platform is true. But what you just said a lot of true. But what you just said a lot of true. But what you just said a lot of people don't understand which is people don't understand which is people don't understand which is ridiculous right they really don't under ridiculous right they really don't under ridiculous right they really don't under I mean they might they might um know in I mean they might they might um know in I mean they might they might um know in terms of uh you know um semantics that terms of uh you know um semantics that terms of uh you know um semantics that it's uh decentralized or you know it's uh decentralized or you know it's uh decentralized or you know central versus centralized but central versus centralized but central versus centralized but conceptually they don't know what what conceptually they don't know what what conceptually they don't know what what that really means and the implications that really means and the implications that really means and the implications but I want to go really quickly back to but I want to go really quickly back to but I want to go really quickly back to why this crypto stuff is really why this crypto stuff is really why this crypto stuff is really dangerous. dangerous. dangerous. it you know the bricks you guys know it you know the bricks you guys know it you know the bricks you guys know about bricks right Brazil Russia India about bricks right Brazil Russia India about bricks right Brazil Russia India China and South and then that whole uh China and South and then that whole uh China and South and then that whole uh consortium is getting larger and larger consortium is getting larger and larger consortium is getting larger and larger day by day one of their missions for day by day one of their missions for day by day one of their missions for bricks is establishing a counter bricks is establishing a counter bricks is establishing a counter currency against the US dollar you know currency against the US dollar you know currency against the US dollar you know what they don't even need to do that what they don't even need to do that what they don't even need to do that crypto crypto crypto you know in all likelihood Russia you know in all likelihood Russia you know in all likelihood Russia probably owns the vast majority of probably owns the vast majority of probably owns the vast majority of crypto. But there is a problem with that crypto. But there is a problem with that crypto. But there is a problem with that again because it's decentralized and again because it's decentralized and again because it's decentralized and there's no ownership of one entity. They there's no ownership of one entity. They there's no ownership of one entity. They don't care because what they want is don't care because what they want is don't care because what they want is they want that decentralization so they they want that decentralization so they they want that decentralization so they can do whatever the hell they want and can do whatever the hell they want and can do whatever the hell they want and nobody can control them. The loser will nobody can control them. The loser will nobody can control them. The loser will be the US because the US dollar will be be the US because the US dollar will be be the US because the US dollar will be compromised even with these stable coins compromised even with these stable coins compromised even with these stable coins and all this other crap that all these and all this other crap that all these and all this other crap that all these other concoctions that they're talking other concoctions that they're talking other concoctions that they're talking about. And that's like a a huge risk

  39. about. And that's like a a huge risk about. And that's like a a huge risk that I really don't hear anyone talking that I really don't hear anyone talking that I really don't hear anyone talking about, right? They talk about the about, right? They talk about the about, right? They talk about the dollar, you know, the dollar as the the dollar, you know, the dollar as the the dollar, you know, the dollar as the the world currency world currency world currency uh and interest rates, but they don't uh and interest rates, but they don't uh and interest rates, but they don't talk about the association risk talk about the association risk talk about the association risk associated with uh but here's the associated with uh but here's the associated with uh but here's the problem you have is that if you don't problem you have is that if you don't problem you have is that if you don't have a central point of control of a have a central point of control of a have a central point of control of a central power that can guarantee the central power that can guarantee the central power that can guarantee the value of the the asset, why would people value of the the asset, why would people value of the the asset, why would people trust that this conglomerate of people trust that this conglomerate of people trust that this conglomerate of people where nobody owns everything is going to where nobody owns everything is going to where nobody owns everything is going to be trustable? Because in the end, it's be trustable? Because in the end, it's be trustable? Because in the end, it's just electronic. So that that's the just electronic. So that that's the just electronic. So that that's the problem you have fundamentally. When you problem you have fundamentally. When you problem you have fundamentally. When you the US dollar, you don't buy just the the US dollar, you don't buy just the the US dollar, you don't buy just the paper, but it serves the purpose of what paper, but it serves the purpose of what paper, but it serves the purpose of what bricks is trying to do. They don't have bricks is trying to do. They don't have bricks is trying to do. They don't have to abandon their currencies. They can to abandon their currencies. They can to abandon their currencies. They can use crypto to basically use crypto to basically use crypto to basically have that latitude to do whatever they have that latitude to do whatever they have that latitude to do whatever they want. And fine, it's fine. But at the want. And fine, it's fine. But at the want. And fine, it's fine. But at the end of the day, it's an economic end of the day, it's an economic end of the day, it's an economic exchange. When they want to buy exchange. When they want to buy exchange. When they want to buy something that is in dollars, they're something that is in dollars, they're something that is in dollars, they're going to have to convert that thing into going to have to convert that thing into going to have to convert that thing into dollars unless there is a, you know, dollars unless there is a, you know, dollars unless there is a, you know, digital dollar. So I don't see that digital dollar. So I don't see that digital dollar. So I don't see that being a threat. Now, if you think about being a threat. Now, if you think about being a threat. Now, if you think about it, if you think about it from a it, if you think about it from a it, if you think about it from a financial institution standpoint, if you financial institution standpoint, if you financial institution standpoint, if you were to rely solely on crypto and you were to rely solely on crypto and you were to rely solely on crypto and you want to regain control or keep control, want to regain control or keep control, want to regain control or keep control, you need to own half of it, which is you need to own half of it, which is you need to own half of it, which is more than half of it in most of the more than half of it in most of the more than half of it in most of the models, which is interesting because the models, which is interesting because the models, which is interesting because the banking systems nowadays, you can banking systems nowadays, you can banking systems nowadays, you can actually lend money with very very actually lend money with very very actually lend money with very very little reserve. So, if we switch to this little reserve. So, if we switch to this little reserve. So, if we switch to this crypto model, you actually forces the crypto model, you actually forces the crypto model, you actually forces the ones that control it to have actually

  40. ones that control it to have actually ones that control it to have actually much larger reserve. So it could benefit much larger reserve. So it could benefit much larger reserve. So it could benefit for the people if you think about it for the people if you think about it for the people if you think about it this way. Well, it depends on who these this way. Well, it depends on who these this way. Well, it depends on who these whales are. Yeah. Because right now boss whales are. Yeah. Because right now boss whales are. Yeah. Because right now boss twins because right now every time twins because right now every time twins because right now every time there's a there's a big crisis, we have there's a there's a big crisis, we have there's a there's a big crisis, we have to be on this call right now as we speak to be on this call right now as we speak to be on this call right now as we speak probably. Yeah. Every time there's a big probably. Yeah. Every time there's a big probably. Yeah. Every time there's a big lending crisis now, we have to give lending crisis now, we have to give lending crisis now, we have to give money to the banks because they just money to the banks because they just money to the banks because they just don't cover and they can just go the don't cover and they can just go the don't cover and they can just go the money. In a crypto world, if you want to money. In a crypto world, if you want to money. In a crypto world, if you want to control it, you need to have at least a control it, you need to have at least a control it, you need to have at least a significant portion of it. So trusting significant portion of it. So trusting significant portion of it. So trusting model maybe. So banks might not get what model maybe. So banks might not get what model maybe. So banks might not get what they want from switching to crypto. Coin they want from switching to crypto. Coin they want from switching to crypto. Coin is not about um controlling crypto. It's is not about um controlling crypto. It's is not about um controlling crypto. It's taking control away from the US dollar taking control away from the US dollar taking control away from the US dollar creating alternatives. Yeah. Yeah, I creating alternatives. Yeah. Yeah, I creating alternatives. Yeah. Yeah, I understand. You know the thing is is understand. You know the thing is is understand. You know the thing is is when you have all these people who are when you have all these people who are when you have all these people who are investing US dollars into this thing investing US dollars into this thing investing US dollars into this thing that's that's American wealth going into that's that's American wealth going into that's that's American wealth going into buying treasuries buy crypto hydrates buying treasuries buy crypto hydrates buying treasuries buy crypto hydrates and it hydrates that particular asset and it hydrates that particular asset and it hydrates that particular asset and then it also allows whoever it is and then it also allows whoever it is and then it also allows whoever it is that owns those early bitcoin that owns those early bitcoin that owns those early bitcoin uh you're empowering them and so if if uh you're empowering them and so if if uh you're empowering them and so if if it's in a government entity like North it's in a government entity like North it's in a government entity like North Korea who which has tons tons of this Korea who which has tons tons of this Korea who which has tons tons of this stuff. You're empowering them. I mean, stuff. You're empowering them. I mean, stuff. You're empowering them. I mean, it's just but but but keep in mind that it's just but but but keep in mind that it's just but but but keep in mind that I mean, this is just the monetary I mean, this is just the monetary I mean, this is just the monetary aspect. I mean, at the end of the day, aspect. I mean, at the end of the day, aspect. I mean, at the end of the day, the power comes from economic power or the power comes from economic power or the power comes from economic power or military power. Monetary it's not a military power. Monetary it's not a military power. Monetary it's not a conventional monetary instrument. It

  41. conventional monetary instrument. It conventional monetary instrument. It it's it's I agree. But it is the way it it's it's I agree. But it is the way it it's it's I agree. But it is the way it is the way it is the way to channel or is the way it is the way to channel or is the way it is the way to channel or exchange economic power or military exchange economic power or military exchange economic power or military power fundamentally. So, who's the who's power fundamentally. So, who's the who's power fundamentally. So, who's the who's the who's the largest demograph that's the who's the largest demograph that's the who's the largest demograph that's actually buying crypto today, actually buying crypto today, actually buying crypto today, right? It's not it's not it's not it's right? It's not it's not it's not it's right? It's not it's not it's not it's not the boomers. It's not Gen X. It's not the boomers. It's not Gen X. It's not the boomers. It's not Gen X. It's it's they're not the largest buyers of it's they're not the largest buyers of it's they're not the largest buyers of crypto. It's happening generations crypto. It's happening generations crypto. It's happening generations behind us. behind us. behind us. There you go. I mean, but it's it's even There you go. I mean, but it's it's even There you go. I mean, but it's it's even I'm not even sure about that. Is there a I'm not even sure about that. Is there a I'm not even sure about that. Is there a real, you know, analysis of who is real, you know, analysis of who is real, you know, analysis of who is buying and using crypto? Because is it buying and using crypto? Because is it buying and using crypto? Because is it is it I don't know. I haven't seen any is it I don't know. I haven't seen any is it I don't know. I haven't seen any data on that. Is it just go out to the data on that. Is it just go out to the data on that. Is it just go out to the colleges and have conversations with colleges and have conversations with colleges and have conversations with some of the some of the Yeah, but this some of the some of the Yeah, but this some of the some of the Yeah, but this is not data. This is conversations. I is not data. This is conversations. I is not data. This is conversations. I mean, this is fact though. It's I mean, mean, this is fact though. It's I mean, mean, this is fact though. It's I mean, the fact is when you go out and you talk the fact is when you go out and you talk the fact is when you go out and you talk to these people and you're and they're to these people and you're and they're to these people and you're and they're having real conversations about you know having real conversations about you know having real conversations about you know what, I'm protecting my They're like, what, I'm protecting my They're like, what, I'm protecting my They're like, forget 401ks. They're not talking about forget 401ks. They're not talking about forget 401ks. They're not talking about SE IRAs or anything like that. They're SE IRAs or anything like that. They're SE IRAs or anything like that. They're talking about their crypto investments.

  42. talking about their crypto investments. talking about their crypto investments. Yeah. Yeah. Yeah. Okay. Are we talking something different Okay. Are we talking something different Okay. Are we talking something different here? Crypto investments. I can here? Crypto investments. I can here? Crypto investments. I can understand that. But investment is not understand that. But investment is not understand that. But investment is not just the value of monetary system which just the value of monetary system which just the value of monetary system which is what we're discussing here. So agreed is what we're discussing here. So agreed is what we're discussing here. So agreed investment maybe investments maybe but investment maybe investments maybe but investment maybe investments maybe but they they they don't buy they don't buy with crypto. don't buy they don't buy with crypto. don't buy they don't buy with crypto. They don't go on Amazon and buy with They don't go on Amazon and buy with They don't go on Amazon and buy with crypto. They don't buy things in North crypto. They don't buy things in North crypto. They don't buy things in North Korea they cannot buy in the US because Korea they cannot buy in the US because Korea they cannot buy in the US because it's in crypto. This is the only way it's in crypto. This is the only way it's in crypto. This is the only way they can buy it. But they're running off they can buy it. But they're running off they can buy it. But they're running off to a crypto ATM. to a crypto ATM. to a crypto ATM. Yeah, there were crypto ATMs and they're Yeah, there were crypto ATMs and they're Yeah, there were crypto ATMs and they're gone away now because nobody uses it. So gone away now because nobody uses it. So gone away now because nobody uses it. So again, it's a it's a multi-layer problem again, it's a it's a multi-layer problem again, it's a it's a multi-layer problem here. Obviously, as investment, I'm here. Obviously, as investment, I'm here. Obviously, as investment, I'm totally with you, Leonard. I think totally with you, Leonard. I think totally with you, Leonard. I think people that are betting the investment people that are betting the investment people that are betting the investment in crypto thing are taking major risk. I in crypto thing are taking major risk. I in crypto thing are taking major risk. I do believe because it's a very very do believe because it's a very very do believe because it's a very very unknown territory. A lot of disappointed unknown territory. A lot of disappointed unknown territory. A lot of disappointed people over there. Bottom line, people people over there. Bottom line, people people over there. Bottom line, people really don't know what they're investing really don't know what they're investing really don't know what they're investing in. If a financial leading financial in. If a financial leading financial in. If a financial leading financial institutions and their analysts and institutions and their analysts and institutions and their analysts and their chief investment officer can't their chief investment officer can't their chief investment officer can't explain what it is even today, okay, you explain what it is even today, okay, you explain what it is even today, okay, you have no [ __ ] idea what you're invest have no [ __ ] idea what you're invest have no [ __ ] idea what you're invest in investing in. I mean, depends on what in investing in. I mean, depends on what in investing in. I mean, depends on what your definition of is is.

  43. your definition of is is. your definition of is is. But I mean, but but you know, I mean, But I mean, but but you know, I mean, But I mean, but but you know, I mean, no, seriously, I I have the thing about no, seriously, I I have the thing about no, seriously, I I have the thing about is I don't debate with with the the next is I don't debate with with the the next is I don't debate with with the the next generation or anything like that. I'm generation or anything like that. I'm generation or anything like that. I'm curious to find out what's motivating curious to find out what's motivating curious to find out what's motivating you to do this. We get into the you to do this. We get into the you to do this. We get into the conversation now. It now I'm going to conversation now. It now I'm going to conversation now. It now I'm going to shift the power of control over to do shift the power of control over to do shift the power of control over to do you understand the technology that you understand the technology that you understand the technology that you're dealing with, where it comes you're dealing with, where it comes you're dealing with, where it comes from, and how it's governed and how it's from, and how it's governed and how it's from, and how it's governed and how it's managed. Yeah. Where is your where where managed. Yeah. Where is your where where managed. Yeah. Where is your where where is your where is your crypto held? You is your where is your crypto held? You is your where is your crypto held? You have a cold wallet. Oh, really? Who have a cold wallet. Oh, really? Who have a cold wallet. Oh, really? Who Who's managing that? Who's in charge of Who's managing that? Who's in charge of Who's managing that? Who's in charge of that? Yeah. And and well, wait a minute. that? Yeah. And and well, wait a minute. that? Yeah. And and well, wait a minute. Uh, no. So, now there comes a whole Uh, no. So, now there comes a whole Uh, no. So, now there comes a whole bunch of stuttering and stammering about bunch of stuttering and stammering about bunch of stuttering and stammering about Well, well, okay. Well, that's not what Well, well, okay. Well, that's not what Well, well, okay. Well, that's not what I'm worried about. No. Well, you need to I'm worried about. No. Well, you need to I'm worried about. No. Well, you need to be I lost my wallet in a landfill and be I lost my wallet in a landfill and be I lost my wallet in a landfill and now I'm going to spend the rest of my now I'm going to spend the rest of my now I'm going to spend the rest of my life digging through the junk to try to life digging through the junk to try to life digging through the junk to try to find it. So if anyone out there gold find it. So if anyone out there gold find it. So if anyone out there gold bars, gold bars, if anyone's curious bars, gold bars, if anyone's curious bars, gold bars, if anyone's curious about, you know, the US dollar is the about, you know, the US dollar is the about, you know, the US dollar is the world reserve currency and what it's world reserve currency and what it's world reserve currency and what it's backed by. This is not new information. backed by. This is not new information. backed by. This is not new information. It's backed by this.

  44. It's backed by this. It's backed by this. Yeah. Just so you're just so we're all Yeah. Just so you're just so we're all Yeah. Just so you're just so we're all clear, I know people said when we went clear, I know people said when we went clear, I know people said when we went off the gold standard in the early '7s off the gold standard in the early '7s off the gold standard in the early '7s that now it's just a random floating that now it's just a random floating that now it's just a random floating thing, not unlike crypto. Um but you thing, not unlike crypto. Um but you thing, not unlike crypto. Um but you know, just to be controversial, our our know, just to be controversial, our our know, just to be controversial, our our currency is backed by nuclear weapons. currency is backed by nuclear weapons. currency is backed by nuclear weapons. It means we have the biggest stick. No, It means we have the biggest stick. No, It means we have the biggest stick. No, I'm serious. When you say who who's got I'm serious. When you say who who's got I'm serious. When you say who who's got the biggest stick to back up, right? the biggest stick to back up, right? the biggest stick to back up, right? It's either economic power or military It's either economic power or military It's either economic power or military power, right? We can we can do stupid power, right? We can we can do stupid power, right? We can we can do stupid [ __ ] We can I mean, we have the biggest [ __ ] We can I mean, we have the biggest [ __ ] We can I mean, we have the biggest debt in the ever. Gosh, what are we at? debt in the ever. Gosh, what are we at? debt in the ever. Gosh, what are we at? 36 trillion now. You know, when other 36 trillion now. You know, when other 36 trillion now. You know, when other countries default on their debt and we countries default on their debt and we countries default on their debt and we call them third world or banana call them third world or banana call them third world or banana republics and then and they they have a republics and then and they they have a republics and then and they they have a wheelbarrow full of cash to buy a wheelbarrow full of cash to buy a wheelbarrow full of cash to buy a hamburger. The reason that stuff may or hamburger. The reason that stuff may or hamburger. The reason that stuff may or may not happen in the US is because we may not happen in the US is because we may not happen in the US is because we have this really big stick that says, have this really big stick that says, have this really big stick that says, "Oh, well, yeah, it well that's part of "Oh, well, yeah, it well that's part of "Oh, well, yeah, it well that's part of it, right? You mentioned economic it's it, right? You mentioned economic it's it, right? You mentioned economic it's fundamentally backed by the fact that we fundamentally backed by the fact that we fundamentally backed by the fact that we are the biggest economy in the world, are the biggest economy in the world, are the biggest economy in the world, right? and have been for and was right? and have been for and was right? and have been for and was actually we are the fastest growing big actually we are the fastest growing big actually we are the fastest growing big economy um actually no China is but um economy um actually no China is but um economy um actually no China is but um historically we have been and actually historically we have been and actually historically we have been and actually in the last 15 years we've outgrown in the last 15 years we've outgrown in the last 15 years we've outgrown the Europe the Europe the Europe um you know our economy grew like 50% um you know our economy grew like 50% um you know our economy grew like 50% and Europe stagnated right and so it and Europe stagnated right and so it and Europe stagnated right and so it really is backed by our economy

  45. really is backed by our economy really is backed by our economy And you're right, Rob, there's the whole And you're right, Rob, there's the whole And you're right, Rob, there's the whole military aspect and but then also it's military aspect and but then also it's military aspect and but then also it's trust. Our financial institutions are trust. Our financial institutions are trust. Our financial institutions are the most trustworthy in the world and the most trustworthy in the world and the most trustworthy in the world and they're becoming less so. they're becoming less so. they're becoming less so. And so um crypto has a role in that, And so um crypto has a role in that, And so um crypto has a role in that, right? So Bradley Cooper has a role in right? So Bradley Cooper has a role in right? So Bradley Cooper has a role in that too. Sure. that too. Sure. that too. Sure. I'm falling. But is is anyone is anyone that's that's But is is anyone is anyone that's that's working with crypto even worried about working with crypto even worried about working with crypto even worried about cyber security at all? No. Ah, it's cyber security at all? No. Ah, it's cyber security at all? No. Ah, it's easy. It's easy. Just just put a big easy. It's easy. Just just put a big easy. It's easy. Just just put a big password and it's fine. I mean, it's password and it's fine. I mean, it's password and it's fine. I mean, it's quantum crypto quantum crypto. No, quantum crypto quantum crypto. No, quantum crypto quantum crypto. No, that's right. But but Bill, Bill, it's that's right. But but Bill, Bill, it's that's right. But but Bill, Bill, it's in the name. It said crypto, so it must in the name. It said crypto, so it must in the name. It said crypto, so it must be secure. It must be. Yes, of course. be secure. It must be. Yes, of course. be secure. It must be. Yes, of course. It's crypto. It's crypto. It's crypto. Come on. It's a there's a cryptographic Come on. It's a there's a cryptographic Come on. It's a there's a cryptographic bond around this whole thing. And bond around this whole thing. And bond around this whole thing. And exactly. Oh, exactly. Oh, exactly. Oh, that's what it meant all along.

  46. that's what it meant all along. that's what it meant all along. So, all right. I'm going to run my app So, all right. I'm going to run my app So, all right. I'm going to run my app for you so that you know it's real. We for you so that you know it's real. We for you so that you know it's real. We have our own IoT Coffee Talk Agentic have our own IoT Coffee Talk Agentic have our own IoT Coffee Talk Agentic platform. Now, we're going to fire that platform. Now, we're going to fire that platform. Now, we're going to fire that sucker up. And there it goes. And it's sucker up. And there it goes. And it's sucker up. And there it goes. And it's doing stuff in a little console app. And doing stuff in a little console app. And doing stuff in a little console app. And so I think I've got two agents running so I think I've got two agents running so I think I've got two agents running that are managed by this thing. One's that are managed by this thing. One's that are managed by this thing. One's like a file system monitor and the other like a file system monitor and the other like a file system monitor and the other one's just scraping some web data. One's one's just scraping some web data. One's one's just scraping some web data. One's a one's a crypto agent, the other's a a one's a crypto agent, the other's a a one's a crypto agent, the other's a ransom agent. ransom agent. ransom agent. Crypto mining. Yeah. On a laptop. That's Crypto mining. Yeah. On a laptop. That's Crypto mining. Yeah. On a laptop. That's what it's doing. We need to elevate our what it's doing. We need to elevate our what it's doing. We need to elevate our kids or else I will wipe your hard kids or else I will wipe your hard kids or else I will wipe your hard drive. Well, you know what? This is what drive. Well, you know what? This is what drive. Well, you know what? This is what everybody wants to know. Rob, isn't I everybody wants to know. Rob, isn't I everybody wants to know. Rob, isn't I PC? Is it a co-pilot plus PC? That's PC? Is it a co-pilot plus PC? That's PC? Is it a co-pilot plus PC? That's right. Are you using the MPU? Come on. right. Are you using the MPU? Come on. right. Are you using the MPU? Come on. GPUs. How many GPUs do you have? How GPUs. How many GPUs do you have? How GPUs. How many GPUs do you have? How many back quarters do you have with many back quarters do you have with many back quarters do you have with Nvidia? Yeah, it's using it's using the Nvidia? Yeah, it's using it's using the Nvidia? Yeah, it's using it's using the new Intel. What's the version of their new Intel. What's the version of their new Intel. What's the version of their GPU for PCs? Arc uh Arc. GPU for PCs? Arc uh Arc. GPU for PCs? Arc uh Arc. Yeah, Arc. I I don't know. But yeah, Arc Yeah, Arc. I I don't know. But yeah, Arc Yeah, Arc. I I don't know. But yeah, Arc Arc Arc Graphics, not to be confused Arc Arc Graphics, not to be confused Arc Arc Graphics, not to be confused with Gaudy on servers. Yeah, Arc.

  47. with Gaudy on servers. Yeah, Arc. with Gaudy on servers. Yeah, Arc. I think I don't think this is so just to I think I don't think this is so just to I think I don't think this is so just to be clear there's a big difference be clear there's a big difference be clear there's a big difference between having an agentic framework and between having an agentic framework and between having an agentic framework and lots of agents and then saying you have lots of agents and then saying you have lots of agents and then saying you have AI agents it's it's what do you want the AI agents it's it's what do you want the AI agents it's it's what do you want the agents to do you know do they need AI do agents to do you know do they need AI do agents to do you know do they need AI do they need just if this then that you they need just if this then that you they need just if this then that you know right yeah so they're just know right yeah so they're just know right yeah so they're just basically sending hello world at each basically sending hello world at each basically sending hello world at each other right at the moment yeah that's other right at the moment yeah that's other right at the moment yeah that's all they do it's like hello hey Bob hey all they do it's like hello hey Bob hey all they do it's like hello hey Bob hey Fred yeah Bob hey Bill yeah right you Fred yeah Bob hey Bill yeah right you Fred yeah Bob hey Bill yeah right you watch them for hours yeah but it's this watch them for hours yeah but it's this watch them for hours yeah but it's this is so much fun. You know, the first is so much fun. You know, the first is so much fun. You know, the first version was stupid. Just fire stuff up version was stupid. Just fire stuff up version was stupid. Just fire stuff up in a console window and then quit. The in a console window and then quit. The in a console window and then quit. The next one is like you were talking about next one is like you were talking about next one is like you were talking about software development life cycle, software development life cycle, software development life cycle, Leonard. Leonard. Leonard. I All right. How what are the different I All right. How what are the different I All right. How what are the different states it's in? What if one of the states it's in? What if one of the states it's in? What if one of the agents crashes? And so we put in changes agents crashes? And so we put in changes agents crashes? And so we put in changes to it. So it if an agent crashes, I have to it. So it if an agent crashes, I have to it. So it if an agent crashes, I have it serializing what it's done. And then it serializing what it's done. And then it serializing what it's done. And then when it fires up, it can pick up right when it fires up, it can pick up right when it fires up, it can pick up right where it left off, which is pretty cool. where it left off, which is pretty cool. where it left off, which is pretty cool. configurations, you know, what are the configurations, you know, what are the configurations, you know, what are the agents task? You know, this is back when agents task? You know, this is back when agents task? You know, this is back when I was before the AI stuff. I was trying I was before the AI stuff. I was trying I was before the AI stuff. I was trying to build a digital twinbased agent to build a digital twinbased agent to build a digital twinbased agent platform because the twin defines what platform because the twin defines what platform because the twin defines what it is. Is it an employee? Is it a it is. Is it an employee? Is it a it is. Is it an employee? Is it a whatever? And what to do? Do they have whatever? And what to do? Do they have whatever? And what to do? Do they have an identity? Those agents. Yes. I just, an identity? Those agents. Yes. I just, an identity? Those agents. Yes. I just, in fact, I just added them to Active in fact, I just added them to Active in fact, I just added them to Active Directory. Oh [ __ ] I'm not sure that the best technology I'm not sure that the best technology you've selected. Uh I think I think you've selected. Uh I think I think you've selected. Uh I think I think you're done. I think you're done. But you're done. I think you're done. But you're done. I think you're done. But the fact that there is an Well, no, but

  48. the fact that there is an Well, no, but the fact that there is an Well, no, but this is a serious question. Basically, this is a serious question. Basically, this is a serious question. Basically, we're not going to have time to discuss we're not going to have time to discuss we're not going to have time to discuss it today. But those AI things need to it today. But those AI things need to it today. But those AI things need to have an identity so they can be traced have an identity so they can be traced have an identity so they can be traced and we can know what they are. and we can know what they are. and we can know what they are. Otherwise, they just from our workload, Otherwise, they just from our workload, Otherwise, they just from our workload, but there is more transparency on what but there is more transparency on what but there is more transparency on what they do. That's a big gap right now. they do. That's a big gap right now. they do. That's a big gap right now. Huge huge gap Huge huge gap Huge huge gap stuff. stuff. stuff. All right. All right. All right. I'm falling. I'm falling. I look like Bradley Cooper in AI World. I look like Bradley Cooper in AI World. I look like Bradley Cooper in AI World. [Music] [Music] [Music] I should have brought my AI Lady Gaga I should have brought my AI Lady Gaga I should have brought my AI Lady Gaga with me to help sing this song. Anyway, with me to help sing this song. Anyway, with me to help sing this song. Anyway, thank you so much for joining us today. thank you so much for joining us today. thank you so much for joining us today. What did we talk about? IoT. What did we talk about? IoT. What did we talk about? IoT. Got it. Lots of AI, lots of crypto Got it. Lots of AI, lots of crypto Got it. Lots of AI, lots of crypto madness, lots of crazy stuff going on in madness, lots of crazy stuff going on in madness, lots of crazy stuff going on in this world. Thanks for joining us. You this world. Thanks for joining us. You this world. Thanks for joining us. You know, you can tell that we're clearly know, you can tell that we're clearly know, you can tell that we're clearly smarter than any AI and most people on smarter than any AI and most people on smarter than any AI and most people on the planet as it turns out as well. But the planet as it turns out as well. But the planet as it turns out as well. But we're here to support the kids. So, go we're here to support the kids. So, go we're here to support the kids. So, go out to elevatorids.org and donate. Buy out to elevatorids.org and donate. Buy out to elevatorids.org and donate. Buy some merch like Pete's got on. You know, some merch like Pete's got on. You know, some merch like Pete's got on. You know, Pete's legit. You know, poor guy who's Pete's legit. You know, poor guy who's Pete's legit. You know, poor guy who's up at Crack of Dawn to go to the up at Crack of Dawn to go to the up at Crack of Dawn to go to the airport. Woo, that's tough. Go to airport. Woo, that's tough. Go to airport. Woo, that's tough. Go to Tommy's. Go to Tommy's breakfast, you Tommy's. Go to Tommy's breakfast, you Tommy's. Go to Tommy's breakfast, you know, down there. Um, thanks for joining know, down there. Um, thanks for joining know, down there. Um, thanks for joining us. Buy some merch. Donate. Help these us. Buy some merch. Donate. Help these us. Buy some merch. Donate. Help these kids. Connectivity laptops. do your kids. Connectivity laptops. do your kids. Connectivity laptops. do your homework remotely.

  49. homework remotely. homework remotely. Buy crypto remotely with that laptop we Buy crypto remotely with that laptop we Buy crypto remotely with that laptop we give you though, kids. That's not what give you though, kids. That's not what give you though, kids. That's not what it's for. Okay. So long, folks. It's been great having So long, folks. It's been great having you here.

Summary

The main theme discusses the potential of AI to recreate music in the style of specific artists, referencing the movie "A Star Is Born" and its actors Bradley Cooper and Lady Gaga. The practical takeaway is that this AI advancement could significantly alter how we experience music in various settings.

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