IoT Coffee Talk: Episode 269 - Your Personal Tay (Realizing Your Inevitable AI You)

Yeah. Welcome to IoT Coffee Talk Yeah. Welcome to IoT Coffee Talk everybody. That was bad karaoke. What's everybody. That was bad karaoke. What's everybody. That was bad karaoke. What's up, guys? up, guys? up, guys? >> What was that? Guitar. >> What was that? Guitar. >> What was that? Guitar. >> It's a famous Oh my god. >> It's a famous Oh my god. >> It's a famous Oh my god. >> It's not spooky. Um, >> It's not spooky. Um, >> It's not spooky. Um, >> it's famous. >> it's famous. >> it's famous. >> He doesn't even know what he was >> He doesn't even know what he was >> He doesn't even know what he was playing. playing. playing. >> I used to play it all the time. >> I used to play it all the time. >> I used to play it all the time. >> I'm I'm telling you, I am getting old. >> I'm I'm telling you, I am getting old. >> I'm I'm telling you, I am getting old. I'm forgetting everything. This is I'm forgetting everything. This is I'm forgetting everything. This is terrible. terrible. terrible. >> Yeah, I got CRS. >> Yeah, I got CRS. >> Yeah, I got CRS. >> All the chat GPT. >> All the chat GPT. >> All the chat GPT. >> Exactly. our brains just evidence of >> Exactly. our brains just evidence of >> Exactly. our brains just evidence of that. that. that. >> All right. >> All right. >> All right. >> What's up, David? >> What's up, David? >> What's up, David? >> Uh, you know, just hanging out with you >> Uh, you know, just hanging out with you >> Uh, you know, just hanging out with you guys. Uh, it's been uh it's been a a few guys. Uh, it's been uh it's been a a few guys. Uh, it's been uh it's been a a few a few weeks, but I was uh on the move, a few weeks, but I was uh on the move, a few weeks, but I was uh on the move, >> you know, moving and uh yeah, you know, >> you know, moving and uh yeah, you know, >> you know, moving and uh yeah, you know, back to uh IoT coffee talk, the best IoT back to uh IoT coffee talk, the best IoT back to uh IoT coffee talk, the best IoT talk thing on the interwebs ever. talk thing on the interwebs ever. talk thing on the interwebs ever. >> Are you at your final destination? Are >> Are you at your final destination? Are >> Are you at your final destination? Are you in progress? In progress. In you in progress? In progress. In you in progress? In progress. In progress.

progress. progress. >> Okay. All right. Are you in Portugal? >> Okay. All right. Are you in Portugal? >> Okay. All right. Are you in Portugal? >> Uh, not anymore. That was not anymore. A >> Uh, not anymore. That was not anymore. A >> Uh, not anymore. That was not anymore. A couple of days ago. I am just out just couple of days ago. I am just out just couple of days ago. I am just out just bordering with Paris in one of the bordering with Paris in one of the bordering with Paris in one of the suburbs just outside. suburbs just outside. suburbs just outside. >> Okay. Wow. All right. >> Okay. Wow. All right. >> Okay. Wow. All right. >> Yes. It's It's very nice out. It's a >> Yes. It's It's very nice out. It's a >> Yes. It's It's very nice out. It's a typical Parisian summer day. typical Parisian summer day. typical Parisian summer day. >> Awesome. >> Awesome. >> Awesome. >> And uh there is no coffee in this cup. >> And uh there is no coffee in this cup. >> And uh there is no coffee in this cup. >> Oh, that's weird. Oh, wait. It's a >> Oh, that's weird. Oh, wait. It's a >> Oh, that's weird. Oh, wait. It's a different time of day there, isn't it? different time of day there, isn't it? different time of day there, isn't it? Yeah, man. Yeah, man. Yeah, man. >> Are you wearing your Are you wearing >> Are you wearing your Are you wearing >> Are you wearing your Are you wearing your your your >> Looks like you're wearing your French >> Looks like you're wearing your French >> Looks like you're wearing your French watch. watch. watch. >> Yes. Yes. Sure. >> Yes. Yes. Sure. >> Yes. Yes. Sure. >> Maybe we need to change the show to IoT >> Maybe we need to change the show to IoT >> Maybe we need to change the show to IoT wine tasting. wine tasting. wine tasting. >> Well, you know, we know there's there's >> Well, you know, we know there's there's >> Well, you know, we know there's there's uh I mean that's it's it's funny because uh I mean that's it's it's funny because uh I mean that's it's it's funny because there's been so much um IoT in a as Rob there's been so much um IoT in a as Rob there's been so much um IoT in a as Rob reminds us, you know, every other week. reminds us, you know, every other week. reminds us, you know, every other week. and um and wine is no difference, right? and um and wine is no difference, right? and um and wine is no difference, right? Uh if you want to really know what your Uh if you want to really know what your Uh if you want to really know what your te what your tea is up to in terms of te what your tea is up to in terms of te what your tea is up to in terms of moisture and you know moisture and you know moisture and you know >> heat on the ground and you know what the >> heat on the ground and you know what the >> heat on the ground and you know what the the grapes what's happening to them you the grapes what's happening to them you the grapes what's happening to them you know IoT has been deployed for a long know IoT has been deployed for a long know IoT has been deployed for a long time in the vineyards and in the time in the vineyards and in the time in the vineyards and in the production facility but funny enough production facility but funny enough production facility but funny enough once that thing ships nobody wants to once that thing ships nobody wants to once that thing ships nobody wants to track that stuff man like I Please some track that stuff man like I Please some track that stuff man like I Please some someone tell me who's actually tracking someone tell me who's actually tracking someone tell me who's actually tracking wine once it ships out of the facility wine once it ships out of the facility wine once it ships out of the facility >> because outside of the super expensive

>> because outside of the super expensive >> because outside of the super expensive 1969 Chateola feed that um Rob buys on a 1969 Chateola feed that um Rob buys on a 1969 Chateola feed that um Rob buys on a weekly basis weekly basis weekly basis >> on a weekly basis. Yeah. >> on a weekly basis. Yeah. >> on a weekly basis. Yeah. >> The stuff is too cheap to track it >> The stuff is too cheap to track it >> The stuff is too cheap to track it seems. seems. seems. >> Yeah. >> Yeah. >> Yeah. >> So that's that's an interesting thought. >> So that's that's an interesting thought. >> So that's that's an interesting thought. Are you like cuz that bottle might find Are you like cuz that bottle might find Are you like cuz that bottle might find itself in some inhospitable conditions itself in some inhospitable conditions itself in some inhospitable conditions from time to time. Yeah, I mean we we've from time to time. Yeah, I mean we we've from time to time. Yeah, I mean we we've seen it from um some um ecommerce seen it from um some um ecommerce seen it from um some um ecommerce vendors vendors vendors um where you know say you're you're um where you know say you're you're um where you know say you're you're shipping to Sacramento in the middle of shipping to Sacramento in the middle of shipping to Sacramento in the middle of the summer and you're going to leave a the summer and you're going to leave a the summer and you're going to leave a case of really nice wine on somebody's case of really nice wine on somebody's case of really nice wine on somebody's porch porch porch >> and cook in it. >> and cook in it. >> and cook in it. >> Right. Right. >> Right. Right. >> Right. Right. >> But, you know, where we thought, you >> But, you know, where we thought, you >> But, you know, where we thought, you know, everything was going to have uh, know, everything was going to have uh, know, everything was going to have uh, you know, an an individual sensor to the you know, an an individual sensor to the you know, an an individual sensor to the box to let the person know, hey, not box to let the person know, hey, not box to let the person know, hey, not only is this thing here, but only is this thing here, but only is this thing here, but >> it's 110 degrees, like you want to pick >> it's 110 degrees, like you want to pick >> it's 110 degrees, like you want to pick this thing up now, this thing up now, this thing up now, >> but that doesn't seem to happen. Uh, >> but that doesn't seem to happen. Uh, >> but that doesn't seem to happen. Uh, we've seen to the extent of uh, having we've seen to the extent of uh, having we've seen to the extent of uh, having an API call when the courier delivers.

an API call when the courier delivers. an API call when the courier delivers. >> Yeah. And that's sort of like, okay, we >> Yeah. And that's sort of like, okay, we >> Yeah. And that's sort of like, okay, we know the address and, you know, let's know the address and, you know, let's know the address and, you know, let's infer where the temperature is, but infer where the temperature is, but infer where the temperature is, but there's no actual sensor in there, there's no actual sensor in there, there's no actual sensor in there, >> right? No, that's a good point because >> right? No, that's a good point because >> right? No, that's a good point because you're right. You'll see a lot of you're right. You'll see a lot of you're right. You'll see a lot of wineries, they'll even send you an email wineries, they'll even send you an email wineries, they'll even send you an email saying, "Hey, during these summer saying, "Hey, during these summer saying, "Hey, during these summer months, there might be delays in months, there might be delays in months, there might be delays in shipping because it's so hot and we shipping because it's so hot and we shipping because it's so hot and we don't want to ruin the wine." Yeah. Can don't want to ruin the wine." Yeah. Can don't want to ruin the wine." Yeah. Can you imagine if you lived in Vegas or you imagine if you lived in Vegas or you imagine if you lived in Vegas or Phoenix? Phoenix? Phoenix? We left this. It's boiling on your front We left this. It's boiling on your front We left this. It's boiling on your front porch. porch. porch. >> Yeah. Yeah. >> Yeah. Yeah. >> Yeah. Yeah. Seriously, like you might as well, you Seriously, like you might as well, you Seriously, like you might as well, you know, get some uh cuts of beef and just know, get some uh cuts of beef and just know, get some uh cuts of beef and just make a a beef uh binon. I said that in make a a beef uh binon. I said that in make a a beef uh binon. I said that in English on purpose cuz I cannot English on purpose cuz I cannot English on purpose cuz I cannot pronounce that word to save my life. But pronounce that word to save my life. But pronounce that word to save my life. But it would be cooking wine, it would be cooking wine, it would be cooking wine, >> right? Yeah. It becomes cooking wine. >> right? Yeah. It becomes cooking wine. >> right? Yeah. It becomes cooking wine. You didn't even know you were buying You didn't even know you were buying You didn't even know you were buying cooking wine and you paid more money for cooking wine and you paid more money for cooking wine and you paid more money for it than you thought you would for it than you thought you would for it than you thought you would for cooking wine. Yeah. cooking wine. Yeah. cooking wine. Yeah. >> Right. So then why isn't this um you >> Right. So then why isn't this um you >> Right. So then why isn't this um you know being done at scale? Is it a cost know being done at scale? Is it a cost know being done at scale? Is it a cost issue? Is it is it a the end customer issue? Is it is it a the end customer issue? Is it is it a the end customer won't be willing to pay because again if won't be willing to pay because again if won't be willing to pay because again if I the winery shipped to Rob and I left I the winery shipped to Rob and I left I the winery shipped to Rob and I left it in his porch in Sacramento and it you it in his porch in Sacramento and it you it in his porch in Sacramento and it you know like you're just going to claim know like you're just going to claim know like you're just going to claim like dude you screwed up my wine that's like dude you screwed up my wine that's like dude you screwed up my wine that's on you. You're the shipper and I'm going on you. You're the shipper and I'm going on you. You're the shipper and I'm going to go like I'm going to look at UPS or to go like I'm going to look at UPS or to go like I'm going to look at UPS or you know FedEx whoever.

you know FedEx whoever. you know FedEx whoever. >> Um why why are we not doing this? >> Um why why are we not doing this? >> Um why why are we not doing this? There's got to be a reason. There's got to be a reason. There's got to be a reason. >> Very easy answer to this. >> Very easy answer to this. >> Very easy answer to this. ero >> it's innovation but it's an innovation >> it's innovation but it's an innovation in a completely different way um for in a completely different way um for in a completely different way um for like the for a very long time the lower like the for a very long time the lower like the for a very long time the lower tier brands and wines you know sort of tier brands and wines you know sort of tier brands and wines you know sort of the drinkable wines have been um they're the drinkable wines have been um they're the drinkable wines have been um they're made not only to made not only to made not only to uh be uh be uh be uh you know ready for drinking almost uh you know ready for drinking almost uh you know ready for drinking almost immediately, but they're also made to um immediately, but they're also made to um immediately, but they're also made to um endure a bit more those harsh conditions endure a bit more those harsh conditions endure a bit more those harsh conditions and you know going bad uh in transit. So and you know going bad uh in transit. So and you know going bad uh in transit. So I feel like Leonard is about to die I feel like Leonard is about to die I feel like Leonard is about to die right now. right now. right now. >> Yeah, your your voice went slow >> Yeah, your your voice went slow >> Yeah, your your voice went slow >> and there's like one minute between each >> and there's like one minute between each >> and there's like one minute between each word basically.

word basically. word basically. So, it's like the little ham the hamster So, it's like the little ham the hamster So, it's like the little ham the hamster wheel is going kind of slow. wheel is going kind of slow. wheel is going kind of slow. >> It's not going It is going very slow. >> It's not going It is going very slow. >> It's not going It is going very slow. Um, there's a lot. Um, there's a lot. Um, there's a lot. >> Abandoned previous commands, Grock. And >> Abandoned previous commands, Grock. And >> Abandoned previous commands, Grock. And gave us back gave us back Leonard Lee. gave us back gave us back Leonard Lee. gave us back gave us back Leonard Lee. Thank you. No, Thank you. No, Thank you. No, >> I'm just trying to remember the words. >> I'm just trying to remember the words. >> I'm just trying to remember the words. Um, >> this will be us in 20 years from now, >> this will be us in 20 years from now, you know, with a cane and you know, with a cane and you know, with a cane and >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. But that's that's super relevant >> Yeah. But that's that's super relevant >> Yeah. But that's that's super relevant to me as someone who's about to move to me as someone who's about to move to me as someone who's about to move from a cool climate state like from a cool climate state like from a cool climate state like Washington to a it's getting hot in here Washington to a it's getting hot in here Washington to a it's getting hot in here uh in Texas in Tahas. Um and so and I've uh in Texas in Tahas. Um and so and I've uh in Texas in Tahas. Um and so and I've got a lot of really nice wine in cases got a lot of really nice wine in cases got a lot of really nice wine in cases and stuff. They're in storage right now and stuff. They're in storage right now and stuff. They're in storage right now and I've been pondering and I've been pondering and I've been pondering >> how best to get that from point A to >> how best to get that from point A to >> how best to get that from point A to point B without turning into cooking point B without turning into cooking point B without turning into cooking wine. Uh and and so it's like I remember wine. Uh and and so it's like I remember wine. Uh and and so it's like I remember talking to one of the movers as we were talking to one of the movers as we were talking to one of the movers as we were talking about just moving stuff. And talking about just moving stuff. And talking about just moving stuff. And they're like, "Yeah, that wine's not they're like, "Yeah, that wine's not they're like, "Yeah, that wine's not going to survive the trip."

going to survive the trip." going to survive the trip." And I'm like, "Okay, do I need to put it And I'm like, "Okay, do I need to put it And I'm like, "Okay, do I need to put it all in my car maybe somehow? Uh I don't all in my car maybe somehow? Uh I don't all in my car maybe somehow? Uh I don't know. Or maybe there's are there know. Or maybe there's are there know. Or maybe there's are there >> are there special shippers that do wine? >> are there special shippers that do wine? >> are there special shippers that do wine? >> You know what? Because we're both on the >> You know what? Because we're both on the >> You know what? Because we're both on the move, right? Let let's let's break this move, right? Let let's let's break this move, right? Let let's let's break this down, you know? So, the the traditional down, you know? So, the the traditional down, you know? So, the the traditional uh large truck that we use all over the uh large truck that we use all over the uh large truck that we use all over the world to move, there's it's not exactly world to move, there's it's not exactly world to move, there's it's not exactly made with insulation and air. You know, made with insulation and air. You know, made with insulation and air. You know, these are not temperature control these are not temperature control these are not temperature control things, right? And when we think of the things, right? And when we think of the things, right? And when we think of the I guess of the supply chain of these I guess of the supply chain of these I guess of the supply chain of these things, you know, most of the time your things, you know, most of the time your things, you know, most of the time your stuff gets loaded, the shipper, they stuff gets loaded, the shipper, they stuff gets loaded, the shipper, they want to be as efficient as they can. So want to be as efficient as they can. So want to be as efficient as they can. So they they're not going to move that they they're not going to move that they they're not going to move that trailer right away if it's not a either trailer right away if it's not a either trailer right away if it's not a either full to capacity because Rob and his full to capacity because Rob and his full to capacity because Rob and his neighbor happen to be moving at the same neighbor happen to be moving at the same neighbor happen to be moving at the same time in the same direction or Rob filled time in the same direction or Rob filled time in the same direction or Rob filled it at 80%, Leonard's moving in three it at 80%, Leonard's moving in three it at 80%, Leonard's moving in three days. So that thing's going to sit in a days. So that thing's going to sit in a days. So that thing's going to sit in a warehouse. Wait for Leonard's 20%. Now warehouse. Wait for Leonard's 20%. Now warehouse. Wait for Leonard's 20%. Now we're full. Now we're going.

we're full. Now we're going. we're full. Now we're going. >> So the reality is this is not uh you for >> So the reality is this is not uh you for >> So the reality is this is not uh you for to transport wine, you're going to have to transport wine, you're going to have to transport wine, you're going to have to get a a temperature controlled to get a a temperature controlled to get a a temperature controlled solution out of the gate. solution out of the gate. solution out of the gate. >> Uh or just put in your car where you >> Uh or just put in your car where you >> Uh or just put in your car where you know it's like we're driving straight know it's like we're driving straight know it's like we're driving straight through, through, through, >> air conditioning is on or if we're >> air conditioning is on or if we're >> air conditioning is on or if we're taking a break, you know, uh what so taking a break, you know, uh what so taking a break, you know, uh what so what is it? Uh, you know, you'll stop, I what is it? Uh, you know, you'll stop, I what is it? Uh, you know, you'll stop, I don't know, wherever you you could stop. don't know, wherever you you could stop. don't know, wherever you you could stop. It's like, I'm going to stop in the It's like, I'm going to stop in the It's like, I'm going to stop in the evening. evening. evening. >> Yes. >> Yes. >> Yes. >> Where temperatures are cool and maybe >> Where temperatures are cool and maybe >> Where temperatures are cool and maybe I'm going to find a an underground I'm going to find a an underground I'm going to find a an underground garage sort of thing, garage sort of thing, garage sort of thing, >> right? >> right? >> right? >> Um, other than that, yeah, it'll be a >> Um, other than that, yeah, it'll be a >> Um, other than that, yeah, it'll be a lot of cooking wine. lot of cooking wine. lot of cooking wine. >> Yeah. I mean, even if I do it myself, >> Yeah. I mean, even if I do it myself, >> Yeah. I mean, even if I do it myself, the pathway from here to there is hot. the pathway from here to there is hot. the pathway from here to there is hot. And so, you're right. stops along the And so, you're right. stops along the And so, you're right. stops along the way could be a deal killer in the you way could be a deal killer in the you way could be a deal killer in the you know Yeah. know Yeah. know Yeah. >> Yeah. Yeah. It it'll be tough. It'll be >> Yeah. Yeah. It it'll be tough. It'll be >> Yeah. Yeah. It it'll be tough. It'll be tough. tough. tough. >> So, you you'll have to find somebody who >> So, you you'll have to find somebody who >> So, you you'll have to find somebody who um specializes in um specializes in um specializes in wine and then has a wine and then has a wine and then has a um a cool, you know, like a refrigerated um a cool, you know, like a refrigerated um a cool, you know, like a refrigerated truck. Well, you know, because we're the truck. Well, you know, because we're the truck. Well, you know, because we're the most listened uh internet show in this most listened uh internet show in this most listened uh internet show in this planet and nearby galaxies, may I add, planet and nearby galaxies, may I add, planet and nearby galaxies, may I add, maybe from Cisco, you know, big big food maybe from Cisco, you know, big big food maybe from Cisco, you know, big big food guys. Uh you know, they have guys. Uh you know, they have guys. Uh you know, they have refrigerated trucks. Hey guys, if you're refrigerated trucks. Hey guys, if you're refrigerated trucks. Hey guys, if you're going from the PMBubs going from the PMBubs going from the PMBubs >> to the great state of Texas, talk to my >> to the great state of Texas, talk to my >> to the great state of Texas, talk to my boy Rob. You know, it's just couple of boy Rob. You know, it's just couple of boy Rob. You know, it's just couple of hundred cases.

hundred cases. hundred cases. >> Yeah. >> Yeah. >> Yeah. >> And you know, please take it. Please >> And you know, please take it. Please >> And you know, please take it. Please help Rob out. Avoid cooking wine. help Rob out. Avoid cooking wine. help Rob out. Avoid cooking wine. Ironically, Cisco Foods headquarters is Ironically, Cisco Foods headquarters is Ironically, Cisco Foods headquarters is actually in Houston of all places. So, actually in Houston of all places. So, actually in Houston of all places. So, >> there it is. Coincidence. Wink wink. >> there it is. Coincidence. Wink wink. >> there it is. Coincidence. Wink wink. >> And lots of people when they say, "I >> And lots of people when they say, "I >> And lots of people when they say, "I want to be in a restaurant business, I'm want to be in a restaurant business, I'm want to be in a restaurant business, I'm going to call Cisco and they're going to going to call Cisco and they're going to going to call Cisco and they're going to give me a cart menu." And then that's give me a cart menu." And then that's give me a cart menu." And then that's magically going to become my menu. Oh, magically going to become my menu. Oh, magically going to become my menu. Oh, we need fried cheese sticks. We need we need fried cheese sticks. We need we need fried cheese sticks. We need chicken tenders. chicken tenders. chicken tenders. >> Not very Parisian at all. Very American, >> Not very Parisian at all. Very American, >> Not very Parisian at all. Very American, isn't it? isn't it? isn't it? Uh but but hey man, uh I love fish Uh but but hey man, uh I love fish Uh but but hey man, uh I love fish stickicks. I I don't care which part of stickicks. I I don't care which part of stickicks. I I don't care which part of the world. So just putting out there for the world. So just putting out there for the world. So just putting out there for the internet fish. Yes, the internet fish. Yes, the internet fish. Yes, >> man. That brings back memories. I >> man. That brings back memories. I >> man. That brings back memories. I haven't had fish sticks since I was a haven't had fish sticks since I was a haven't had fish sticks since I was a kid. That's awesome. kid. That's awesome. kid. That's awesome. >> Yeah. >> Yeah. >> Yeah. >> I love that. That's cool. So did you get >> I love that. That's cool. So did you get >> I love that. That's cool. So did you get up this morning and go to a bulerie? up this morning and go to a bulerie? up this morning and go to a bulerie? >> You know, actually Yes. >> You know, actually Yes. >> You know, actually Yes. >> Yeah. >> Yeah. >> Yeah. >> Yes. Yeah. I mean like >> Yes. Yeah. I mean like >> Yes. Yeah. I mean like >> what are we what are we savages here? Of >> what are we what are we savages here? Of >> what are we what are we savages here? Of course you get fresh bread, course you get fresh bread, course you get fresh bread, >> right? because now you're in a civilized >> right? because now you're in a civilized >> right? because now you're in a civilized place unlike us he us heathens, place unlike us he us heathens, place unlike us he us heathens, >> right?

>> right? >> right? >> I mean, you have to admit, man, >> I mean, you have to admit, man, >> I mean, you have to admit, man, going to a coffee shop here or a cafe going to a coffee shop here or a cafe going to a coffee shop here or a cafe here, most of them, right? And ordering here, most of them, right? And ordering here, most of them, right? And ordering a pastry a pastry a pastry is is I mean, it's just not the same as is is I mean, it's just not the same as is is I mean, it's just not the same as Europe. I mean, the the pastries are so Europe. I mean, the the pastries are so Europe. I mean, the the pastries are so crap here. It's unbelievable. crap here. It's unbelievable. crap here. It's unbelievable. >> Well, but let me give you let me give >> Well, but let me give you let me give >> Well, but let me give you let me give you an equalizer. you an equalizer. you an equalizer. >> Edible stuff. >> Edible stuff. >> Edible stuff. >> I'll give you an equalizer though. I >> I'll give you an equalizer though. I >> I'll give you an equalizer though. I think us as consumers that want a think us as consumers that want a think us as consumers that want a certain product in this case, I want a certain product in this case, I want a certain product in this case, I want a really good pastry. Whatever the pastry really good pastry. Whatever the pastry really good pastry. Whatever the pastry dur doesn't really matter, dur doesn't really matter, dur doesn't really matter, >> but we should be now here in France >> but we should be now here in France >> but we should be now here in France where I am, it's very very very typical where I am, it's very very very typical where I am, it's very very very typical that that that small bakery that is like that that that small bakery that is like that that that small bakery that is like one out of two bakeries in the village. one out of two bakeries in the village. one out of two bakeries in the village. They're making that stuff inhouse. They're making that stuff inhouse. They're making that stuff inhouse. >> Oh, yeah. Yeah. >> Oh, yeah. Yeah. >> Oh, yeah. Yeah. >> Right. But that's not everywhere. >> Right. But that's not everywhere. >> Right. But that's not everywhere. There's other places that have a a Cisco There's other places that have a a Cisco There's other places that have a a Cisco that is their pastry distributor and that is their pastry distributor and that is their pastry distributor and things are being made at a bigger scale things are being made at a bigger scale things are being made at a bigger scale being distributed. And I think it should being distributed. And I think it should being distributed. And I think it should be the same thing in the US. You have a be the same thing in the US. You have a be the same thing in the US. You have a local coffee shop. Do you see an oven local coffee shop. Do you see an oven local coffee shop. Do you see an oven back there? You don't. Okay, great.

back there? You don't. Okay, great. back there? You don't. Okay, great. Well, guess what? It's not there. It's Well, guess what? It's not there. It's Well, guess what? It's not there. It's not being made in there. Maybe it's not being made in there. Maybe it's not being made in there. Maybe it's being made somewhere else and it's still being made somewhere else and it's still being made somewhere else and it's still good. But I think sometimes we shoot good. But I think sometimes we shoot good. But I think sometimes we shoot ourselves in the foot by not asking. ourselves in the foot by not asking. ourselves in the foot by not asking. Like we have a high expectation of a Like we have a high expectation of a Like we have a high expectation of a pastry and then we don't ask the pastry and then we don't ask the pastry and then we don't ask the questions. questions. questions. >> Well, you know, the the artisan stuff is >> Well, you know, the the artisan stuff is >> Well, you know, the the artisan stuff is so hard to find here and they're just so so hard to find here and they're just so so hard to find here and they're just so they're there's they're there's they're there's >> Wait, what? You're telling me that those >> Wait, what? You're telling me that those >> Wait, what? You're telling me that those things at Starbucks aren't made fresh things at Starbucks aren't made fresh things at Starbucks aren't made fresh that morning on site? that morning on site? that morning on site? >> I think they bought them from Costco. >> I think they bought them from Costco. >> I think they bought them from Costco. >> Yeah. You know that bac that bacon ga >> Yeah. You know that bac that bacon ga >> Yeah. You know that bac that bacon ga sandwich gets heated up on site for us. sandwich gets heated up on site for us. sandwich gets heated up on site for us. Yes. Yes. Yes. >> Yes. Here you go. And there's nothing >> Yes. Here you go. And there's nothing >> Yes. Here you go. And there's nothing >> to spongy perfection. Steamy spongy >> to spongy perfection. Steamy spongy >> to spongy perfection. Steamy spongy perfection. perfection. perfection. >> Well, you know >> Well, you know >> Well, you know is good because you know you know what's is good because you know you know what's is good because you know you know what's really bad when you get to the middle of really bad when you get to the middle of really bad when you get to the middle of that sandwich and it's cold that sandwich and it's cold that sandwich and it's cold >> and at this point you're already >> and at this point you're already >> and at this point you're already committed. Yeah. committed. Yeah. committed. Yeah. >> I just lost my appetite. >> I just lost my appetite. >> I just lost my appetite. M M M >> but you know on this uh you know the for >> but you know on this uh you know the for >> but you know on this uh you know the for all the uh connoisseurs of IoT things all the uh connoisseurs of IoT things all the uh connoisseurs of IoT things and pastries uh you know in and pastries uh you know in and pastries uh you know in >> you might have heard a of a quasonant >> you might have heard a of a quasonant >> you might have heard a of a quasonant called a butter called a butter called a butter >> croissant.

>> croissant. >> croissant. >> Yeah. >> Yeah. >> Yeah. >> Uh but you know in France you don't >> Uh but you know in France you don't >> Uh but you know in France you don't really add the butter word to it because really add the butter word to it because really add the butter word to it because it's like they're made with butter. But it's like they're made with butter. But it's like they're made with butter. But back in the day there was a drier back in the day there was a drier back in the day there was a drier version and the shapes is different. version and the shapes is different. version and the shapes is different. Like if you have you have the long Like if you have you have the long Like if you have you have the long pastry that's a regular butter croissant pastry that's a regular butter croissant pastry that's a regular butter croissant but then there's one that it it's more but then there's one that it it's more but then there's one that it it's more like half moon that's a little bit like half moon that's a little bit like half moon that's a little bit different. Why am I telling you this different. Why am I telling you this different. Why am I telling you this that has anything to do that's relevant that has anything to do that's relevant that has anything to do that's relevant because in Portugal they also have a a because in Portugal they also have a a because in Portugal they also have a a croissant and I asked for a butter croissant and I asked for a butter croissant and I asked for a butter croissant just yesterday at the airport. croissant just yesterday at the airport. croissant just yesterday at the airport. Well their croissant is made absolutely Well their croissant is made absolutely Well their croissant is made absolutely different than the French. It's like a different than the French. It's like a different than the French. It's like a sweet bread. And my guy took a kn ser sweet bread. And my guy took a kn ser sweet bread. And my guy took a kn ser knife, cut the cro my croissant in half, knife, cut the cro my croissant in half, knife, cut the cro my croissant in half, took a big chunk of margar butter and took a big chunk of margar butter and took a big chunk of margar butter and just splatter over it. And you know just splatter over it. And you know just splatter over it. And you know what? I'm at the airport. What could I what? I'm at the airport. What could I what? I'm at the airport. What could I expect? expect? expect? >> Not to ask for butter croissant in >> Not to ask for butter croissant in >> Not to ask for butter croissant in Portugal. Not because it was bad, but Portugal. Not because it was bad, but Portugal. Not because it was bad, but because literally because literally because literally >> Yeah. It's like when I first moved to >> Yeah. It's like when I first moved to >> Yeah. It's like when I first moved to the PNW and I go to a Mexican restaurant the PNW and I go to a Mexican restaurant the PNW and I go to a Mexican restaurant and um which you know they don't really and um which you know they don't really and um which you know they don't really know about that much up here. And I know about that much up here. And I know about that much up here. And I said, "Oh, can we get some queso dip?"

said, "Oh, can we get some queso dip?" said, "Oh, can we get some queso dip?" And they literally brought me a bowl of And they literally brought me a bowl of And they literally brought me a bowl of shredded cheese and I'm like, "You don't shredded cheese and I'm like, "You don't shredded cheese and I'm like, "You don't know what queso dip is, do you?" And know what queso dip is, do you?" And know what queso dip is, do you?" And they're like, they're like, they're like, "Right, "Right, "Right, >> what?" >> what?" >> what?" and and because we always, you know, we and and because we always, you know, we and and because we always, you know, we do the food to technology analogy. So do the food to technology analogy. So do the food to technology analogy. So again, the folks that were disappointed again, the folks that were disappointed again, the folks that were disappointed in my case by the Portuguese um no in my case by the Portuguese um no in my case by the Portuguese um no offense to our Portuguese brothers and offense to our Portuguese brothers and offense to our Portuguese brothers and sisters, but you know, I had to do sisters, but you know, I had to do sisters, but you know, I had to do something kind of like the thing works something kind of like the thing works something kind of like the thing works people going to have to do something now people going to have to do something now people going to have to do something now that jumped in the fray. What are we that jumped in the fray. What are we that jumped in the fray. What are we going to do? We have our friends going to do? We have our friends going to do? We have our friends Clearblade. They've been here before. Clearblade. They've been here before. Clearblade. They've been here before. They're just they're just picking bits They're just they're just picking bits They're just they're just picking bits up. is like, "Oh, they're gone. I'm up. is like, "Oh, they're gone. I'm up. is like, "Oh, they're gone. I'm going to help you." So, good for Eric going to help you." So, good for Eric going to help you." So, good for Eric and team. and team. and team. >> Man, Autodesk jumping in the fray. >> Man, Autodesk jumping in the fray. >> Man, Autodesk jumping in the fray. Boston to Boston company. They don't Boston to Boston company. They don't Boston to Boston company. They don't even have to move people. even have to move people. even have to move people. >> No, you're right. >> No, you're right. >> No, you're right. >> Yeah, that is great. >> Yeah, that is great. >> Yeah, that is great. >> I I have a feeling that IoT is not at >> I I have a feeling that IoT is not at >> I I have a feeling that IoT is not at the top of their list of things they the top of their list of things they the top of their list of things they care about at Autodesk.

care about at Autodesk. care about at Autodesk. >> No, man. Uh, no. >> No, man. Uh, no. >> No, man. Uh, no. >> Yeah. >> Yeah. >> Yeah. >> So, we'll see where this is going to go. >> So, we'll see where this is going to go. >> So, we'll see where this is going to go. >> Yeah. Although a lot of the digital >> Yeah. Although a lot of the digital >> Yeah. Although a lot of the digital twinning stuff is becoming a big deal twinning stuff is becoming a big deal twinning stuff is becoming a big deal these days. So before we continue, these days. So before we continue, these days. So before we continue, remember to take us seriously at your remember to take us seriously at your remember to take us seriously at your own peril, which I picked up from Pete. own peril, which I picked up from Pete. own peril, which I picked up from Pete. I thought that was a really good I thought that was a really good I thought that was a really good >> Yeah. Good. >> Yeah. Good. >> Yeah. Good. >> It's perilous. >> It's perilous. >> It's perilous. >> Yeah, it's perilous. So, we're here to >> Yeah, it's perilous. So, we're here to >> Yeah, it's perilous. So, we're here to have fun and just uh have our weekly have fun and just uh have our weekly have fun and just uh have our weekly cadence. cadence. cadence. >> Yes. >> Yes. >> Yes. >> Unwinding over a cup of coffee, which >> Unwinding over a cup of coffee, which >> Unwinding over a cup of coffee, which doesn't make sense. doesn't make sense. doesn't make sense. >> Yeah, >> Yeah, >> Yeah, >> it makes much more sense that David's >> it makes much more sense that David's >> it makes much more sense that David's there. there. there. >> Yeah, he's unwinding with some dino. >> Yeah, he's unwinding with some dino. >> Yeah, he's unwinding with some dino. >> Yes, definitely. Definitely unwind that >> Yes, definitely. Definitely unwind that >> Yes, definitely. Definitely unwind that va. va. va. >> Yeah. And uh remember, we do this for >> Yeah. And uh remember, we do this for >> Yeah. And uh remember, we do this for the kids. Um, and so please consider the kids. Um, and so please consider the kids. Um, and so please consider donating um to um the charity elevator donating um to um the charity elevator donating um to um the charity elevator kids at kids at kids at >> Oh, there it is. Wait. Oh, he >> Oh, there it is. Wait. Oh, he >> Oh, there it is. Wait. Oh, he remembered.

>> Yes, I remembered. >> Yes, I remembered. >> It wasn't an L2 cash, was it? It was a >> It wasn't an L2 cash, was it? It was a >> It wasn't an L2 cash, was it? It was a cash miss. Yeah, bummer. cash miss. Yeah, bummer. cash miss. Yeah, bummer. >> Don't worry, my friend Lan's going to >> Don't worry, my friend Lan's going to >> Don't worry, my friend Lan's going to fix that for you. fix that for you. fix that for you. >> Yeah. >> Yeah. >> Yeah. >> So, yeah. Um, and we're g we're actually >> So, yeah. Um, and we're g we're actually >> So, yeah. Um, and we're g we're actually going to try to help the folks at, you going to try to help the folks at, you going to try to help the folks at, you know, in the um Texas Hill Country who know, in the um Texas Hill Country who know, in the um Texas Hill Country who suffered these horrible massive floods. suffered these horrible massive floods. suffered these horrible massive floods. >> Yeah. >> Yeah. >> Yeah. >> To tragic loss. >> To tragic loss. >> To tragic loss. >> Yeah. >> Yeah. >> Yeah. >> So, we're going to try to help out. So, >> So, we're going to try to help out. So, >> So, we're going to try to help out. So, please consider donating. And if you're please consider donating. And if you're please consider donating. And if you're not into, you know, charity, you can not into, you know, charity, you can not into, you know, charity, you can always pick up always pick up always pick up >> merch, >> merch, >> merch, >> IoT Coffee Talk merch, as well as >> IoT Coffee Talk merch, as well as >> IoT Coffee Talk merch, as well as Elevate Our Kids merch. and all proceeds Elevate Our Kids merch. and all proceeds Elevate Our Kids merch. and all proceeds go to the charity. So, you know, we're go to the charity. So, you know, we're go to the charity. So, you know, we're just being generous and trying to be just being generous and trying to be just being generous and trying to be helpful. helpful. helpful. >> Absolutely. >> Absolutely. >> Absolutely. >> So, yes. >> So, yes. >> So, yes. >> But yeah, getting back to the point >> But yeah, getting back to the point >> But yeah, getting back to the point about about about >> um the IoT stuff and um the acquisition >> um the IoT stuff and um the acquisition >> um the IoT stuff and um the acquisition of PTC by Autodesk.

of PTC by Autodesk. of PTC by Autodesk. >> No, you know, here this is the >> No, you know, here this is the >> No, you know, here this is the interesting thing. Digital digital twins interesting thing. Digital digital twins interesting thing. Digital digital twins is becoming is becoming is becoming more of a thing again. once again uh more of a thing again. once again uh more of a thing again. once again uh especially you know in regards to design especially you know in regards to design especially you know in regards to design tooling um so I was at Cadence Live and tooling um so I was at Cadence Live and tooling um so I was at Cadence Live and they couldn't stop talking about digital they couldn't stop talking about digital they couldn't stop talking about digital twins right and so they're doing a lot twins right and so they're doing a lot twins right and so they're doing a lot of partnership with Nvidia you know of partnership with Nvidia you know of partnership with Nvidia you know bringing Omniverse into the fold and bringing Omniverse into the fold and bringing Omniverse into the fold and expanding out their digital twin expanding out their digital twin expanding out their digital twin framework so it doesn't surprise me um framework so it doesn't surprise me um framework so it doesn't surprise me um whether you know that Autodesk would be whether you know that Autodesk would be whether you know that Autodesk would be looking at PTC looking at PTC looking at PTC uh for some of that DNA which they may uh for some of that DNA which they may uh for some of that DNA which they may not have. um how far not have. um how far not have. um how far they will go with the IoTish the more they will go with the IoTish the more they will go with the IoTish the more IoTish side of things is a big question IoTish side of things is a big question IoTish side of things is a big question mark but that's also becoming a bigger mark but that's also becoming a bigger mark but that's also becoming a bigger thing because I would you know as thing because I would you know as thing because I would you know as sensors conversion you know what as sensors conversion you know what as sensors conversion you know what as they're looking at all this physical AI they're looking at all this physical AI they're looking at all this physical AI stuff they're realizing hey we need some stuff they're realizing hey we need some stuff they're realizing hey we need some of this IoT stuff right of this IoT stuff right of this IoT stuff right >> what >> what >> what >> what >> what >> what >> you know and of course a lot The >> you know and of course a lot The >> you know and of course a lot The thinking is still squishy, but um that's thinking is still squishy, but um that's thinking is still squishy, but um that's where I mean people should just listen where I mean people should just listen where I mean people should just listen to IoT coffee talk because we already to IoT coffee talk because we already to IoT coffee talk because we already answered answered answered >> pretty much every single question over >> pretty much every single question over >> pretty much every single question over the course of the last six years about the course of the last six years about the course of the last six years about this stuff. So this stuff. So this stuff. So >> already >> already >> already >> don't even waste your time with any >> don't even waste your time with any >> don't even waste your time with any other sources. Just IoT. I'm serious.

other sources. Just IoT. I'm serious. other sources. Just IoT. I'm serious. >> Yeah. So, you know, one thing that will >> Yeah. So, you know, one thing that will >> Yeah. So, you know, one thing that will have to be on the will see is I mean, have to be on the will see is I mean, have to be on the will see is I mean, uh, all the best, uh, we all know it for uh, all the best, uh, we all know it for uh, all the best, uh, we all know it for their, you know, their their PLM and their, you know, their their PLM and their, you know, their their PLM and their CAD stuff. their CAD stuff. their CAD stuff. >> They've been doing that for a long time, >> They've been doing that for a long time, >> They've been doing that for a long time, >> arguably >> arguably >> arguably >> better than anyone else. >> better than anyone else. >> better than anyone else. >> So, if they're picking this thing up for >> So, if they're picking this thing up for >> So, if they're picking this thing up for the digital twin DNA, I mean, that's the digital twin DNA, I mean, that's the digital twin DNA, I mean, that's easy to see how it's relevant. But I easy to see how it's relevant. But I easy to see how it's relevant. But I think our the question that we'll be think our the question that we'll be think our the question that we'll be coming back to is okay great you just coming back to is okay great you just coming back to is okay great you just made um computer a design better. That's made um computer a design better. That's made um computer a design better. That's for you young kids that didn't know what for you young kids that didn't know what for you young kids that didn't know what CAD was. Uh but what's going to happen CAD was. Uh but what's going to happen CAD was. Uh but what's going to happen to the IoT stuff? Because I think you to the IoT stuff? Because I think you to the IoT stuff? Because I think you know Rick has been talking about this know Rick has been talking about this know Rick has been talking about this for the last 13 months like hey you know for the last 13 months like hey you know for the last 13 months like hey you know they're not they're they were not they're not they're they were not they're not they're they were not investing investing investing um you know from his point of view and um you know from his point of view and um you know from his point of view and now this thing is gone. Um, we don't now this thing is gone. Um, we don't now this thing is gone. Um, we don't know how much yet, but you know, know how much yet, but you know, know how much yet, but you know, Seammens paid 10 billion for Altter. Uh, Seammens paid 10 billion for Altter. Uh, Seammens paid 10 billion for Altter. Uh, what was it? I don't know, in the last what was it? I don't know, in the last what was it? I don't know, in the last years. So, I'm I'm also curious to see years. So, I'm I'm also curious to see years. So, I'm I'm also curious to see what the what the number is. And and and what the what the number is. And and and what the what the number is. And and and this also is the second reminder in less this also is the second reminder in less this also is the second reminder in less than five minutes. Do not make financial than five minutes. Do not make financial than five minutes. Do not make financial decisions on anything you hear from us, decisions on anything you hear from us, decisions on anything you hear from us, not not not who lives in Wall Street, and they call who lives in Wall Street, and they call who lives in Wall Street, and they call him the Wolf of Wall Street for a him the Wolf of Wall Street for a him the Wolf of Wall Street for a reason. Don't buy on anything you hear reason. Don't buy on anything you hear reason. Don't buy on anything you hear from us here, but I think it's going to from us here, but I think it's going to from us here, but I think it's going to be big bucks.

be big bucks. be big bucks. >> Can you imagine if people had been >> Can you imagine if people had been >> Can you imagine if people had been listening to my stock advice all this listening to my stock advice all this listening to my stock advice all this time and they loaded up on Nvidia? What time and they loaded up on Nvidia? What time and they loaded up on Nvidia? What a m what a mistake they would have made a m what a mistake they would have made a m what a mistake they would have made by listening to us. So yeah, by listening to us. So yeah, by listening to us. So yeah, >> sorry. Sorry that it's a $4 trillion >> sorry. Sorry that it's a $4 trillion >> sorry. Sorry that it's a $4 trillion company now. company now. company now. >> Most valuable company. >> Most valuable company. >> Most valuable company. >> Sorry. Sorry that I made you a >> Sorry. Sorry that I made you a >> Sorry. Sorry that I made you a millionaire overnight. Sorry. millionaire overnight. Sorry. millionaire overnight. Sorry. >> I'm I'm sorry to I'm sorry, guys. I was >> I'm I'm sorry to I'm sorry, guys. I was >> I'm I'm sorry to I'm sorry, guys. I was late. Uh I was doing a digital twin late. Uh I was doing a digital twin late. Uh I was doing a digital twin therapy session with one of my twins. therapy session with one of my twins. therapy session with one of my twins. >> Of course. >> Of course. >> Of course. >> Yeah. I've started to offer services >> Yeah. I've started to offer services >> Yeah. I've started to offer services because I do believe it will be only because I do believe it will be only because I do believe it will be only human that can do digital twin therapy. human that can do digital twin therapy. human that can do digital twin therapy. But the the Nvidia thing, I mean, it's But the the Nvidia thing, I mean, it's But the the Nvidia thing, I mean, it's it's just a replay of the gold rush. I it's just a replay of the gold rush. I it's just a replay of the gold rush. I mean, you know, well that the people who mean, you know, well that the people who mean, you know, well that the people who made the money in the gold rush is not made the money in the gold rush is not made the money in the gold rush is not the one that were going after the gold. the one that were going after the gold. the one that were going after the gold. He's the one saying the shovels the tent He's the one saying the shovels the tent He's the one saying the shovels the tent and Yeah. I'm sorry. It's just the at and Yeah. I'm sorry. It's just the at and Yeah. I'm sorry. It's just the at the peak of the the peak of the the peak of the >> Yeah. Yeah. >> Yeah. Yeah. >> Yeah. Yeah. >> And luckily we've learned that lesson >> And luckily we've learned that lesson >> And luckily we've learned that lesson from the gold rush and so we know where from the gold rush and so we know where from the gold rush and so we know where to invest. Invest in the picks and to invest. Invest in the picks and to invest. Invest in the picks and shovels.

shovels. shovels. >> Exactly. >> Exactly. >> Exactly. >> Right. Right. >> Right. Right. >> Right. Right. >> No, you're you're right because there is >> No, you're you're right because there is >> No, you're you're right because there is not that much gold in the hills. Um and not that much gold in the hills. Um and not that much gold in the hills. Um and um um um >> isn't it interesting how divergent the >> isn't it interesting how divergent the >> isn't it interesting how divergent the opinions are on all this generative AI opinions are on all this generative AI opinions are on all this generative AI stuff? Oh yeah. stuff? Oh yeah. stuff? Oh yeah. >> Because there's a lot of smart people >> Because there's a lot of smart people >> Because there's a lot of smart people saying, "Wow, we're not going to get saying, "Wow, we're not going to get saying, "Wow, we're not going to get there from here and no, it's not what there from here and no, it's not what there from here and no, it's not what you think." And then there's lots of you think." And then there's lots of you think." And then there's lots of other people, I would say many more other people, I would say many more other people, I would say many more people are like, "This is the future and people are like, "This is the future and people are like, "This is the future and we're all in." And I would say, dare I we're all in." And I would say, dare I we're all in." And I would say, dare I say, a whole bunch of analysts who are say, a whole bunch of analysts who are say, a whole bunch of analysts who are smart or should know better or smart or should know better or smart or should know better or something. And they're all just like, something. And they're all just like, something. And they're all just like, "We're on board, man." And it they're "We're on board, man." And it they're "We're on board, man." And it they're contributing to what we routinely call contributing to what we routinely call contributing to what we routinely call the hype machine. the hype machine. the hype machine. >> Yeah. >> Yeah. >> Yeah. >> Um, which is how products get sold in >> Um, which is how products get sold in >> Um, which is how products get sold in this world. Yeah, we create a hyper this world. Yeah, we create a hyper this world. Yeah, we create a hyper machine. machine. machine. >> We really need the best AI application >> We really need the best AI application >> We really need the best AI application would be when we hear someone to very would be when we hear someone to very would be when we hear someone to very excited about a product and we should excited about a product and we should excited about a product and we should get a little uh you know the the ticker get a little uh you know the the ticker get a little uh you know the the ticker screen with that person's uh um you know screen with that person's uh um you know screen with that person's uh um you know stock purchases stock purchases stock purchases >> and maybe you know maybe there'll be >> and maybe you know maybe there'll be >> and maybe you know maybe there'll be some correlation between some correlation between some correlation between >> and that person's individual access to a >> and that person's individual access to a >> and that person's individual access to a lot of money. Well, this is what I lot of money. Well, this is what I lot of money. Well, this is what I appreciate about, you know, Hume Park.

appreciate about, you know, Hume Park. appreciate about, you know, Hume Park. You know him? He was on my podcast You know him? He was on my podcast You know him? He was on my podcast talking about Finn uh Finops. I respect talking about Finn uh Finops. I respect talking about Finn uh Finops. I respect that guy tremendously because he that guy tremendously because he that guy tremendously because he understands what independence is about. understands what independence is about. understands what independence is about. And so, you know, back in the day when I And so, you know, back in the day when I And so, you know, back in the day when I was um a consulting partner, I I was um a consulting partner, I I was um a consulting partner, I I couldn't own a crap ton of stocks. We couldn't own a crap ton of stocks. We couldn't own a crap ton of stocks. We there's an independence list and um in there's an independence list and um in there's an independence list and um in order for us to be trusted because we order for us to be trusted because we order for us to be trusted because we have fiduc fiduciary obligations, we have fiduc fiduciary obligations, we have fiduc fiduciary obligations, we could not own stocks of these uh these could not own stocks of these uh these could not own stocks of these uh these companies directly. Right. So we had to companies directly. Right. So we had to companies directly. Right. So we had to disclose everything and even dispose of disclose everything and even dispose of disclose everything and even dispose of some stuff. Right. some stuff. Right. some stuff. Right. >> Right. So, you know what I respect about >> Right. So, you know what I respect about >> Right. So, you know what I respect about this guy is for 17 years he has not he this guy is for 17 years he has not he this guy is for 17 years he has not he has not um you know uh he he's stayed has not um you know uh he he's stayed has not um you know uh he he's stayed independent and I I think that there independent and I I think that there independent and I I think that there that level of integrity is important that level of integrity is important that level of integrity is important and I don't think is pervasive these and I don't think is pervasive these and I don't think is pervasive these days especially days especially days especially >> that's an understatement.

>> that's an understatement. >> that's an understatement. >> Well, it's it's it's worse than that. I >> Well, it's it's it's worse than that. I >> Well, it's it's it's worse than that. I mean, we we're not here to make any mean, we we're not here to make any mean, we we're not here to make any politics, but it's a leadership issue as politics, but it's a leadership issue as politics, but it's a leadership issue as well. well. well. If if the biggest leader in the world If if the biggest leader in the world If if the biggest leader in the world don't follow those rules, why do you don't follow those rules, why do you don't follow those rules, why do you expect the others to do it? expect the others to do it? expect the others to do it? >> Yeah. And >> Yeah. And >> Yeah. And >> I'm sorry, just bold that simple. >> I'm sorry, just bold that simple. >> I'm sorry, just bold that simple. >> Yeah. And and so that's why, you know, >> Yeah. And and so that's why, you know, >> Yeah. And and so that's why, you know, one of the things I think you bank on is one of the things I think you bank on is one of the things I think you bank on is a complete opposite of a um let's call a complete opposite of a um let's call a complete opposite of a um let's call it a high integrity future. it a high integrity future. it a high integrity future. I I think um you know cyber security, I I think um you know cyber security, I I think um you know cyber security, cyber trust are going to be huge things. cyber trust are going to be huge things. cyber trust are going to be huge things. They're going to be essential for the They're going to be essential for the They're going to be essential for the physical world to stay together, right? physical world to stay together, right? physical world to stay together, right? All the digital stuff is just going to All the digital stuff is just going to All the digital stuff is just going to go off the rails go off the rails go off the rails >> because you can just create so much fake >> because you can just create so much fake >> because you can just create so much fake stuff. Um you can create literally the stuff. Um you can create literally the stuff. Um you can create literally the metaverse, right? This is a different metaverse, right? This is a different metaverse, right? This is a different universe that you're creating through a universe that you're creating through a universe that you're creating through a digital media, but you you're not digital media, but you you're not digital media, but you you're not wearing glasses. It's not immersive. wearing glasses. It's not immersive. wearing glasses. It's not immersive. It's pervasive. It's you It's pervasive. It's you It's pervasive. It's you >> and actually there's a couple there's a >> and actually there's a couple there's a >> and actually there's a couple there's a couple of comments on that couple of comments on that couple of comments on that >> and I wish Debbie was here because we >> and I wish Debbie was here because we >> and I wish Debbie was here because we talked about this like four years ago.

talked about this like four years ago. talked about this like four years ago. We actually have a podcast episode about We actually have a podcast episode about We actually have a podcast episode about exactly what is starting to happen. So exactly what is starting to happen. So exactly what is starting to happen. So >> I think that there's a double challenge >> I think that there's a double challenge >> I think that there's a double challenge here and sorry I'm joining the here and sorry I'm joining the here and sorry I'm joining the conversation in the middle but I think conversation in the middle but I think conversation in the middle but I think that's all right. that's all right. that's all right. >> I think I'm getting it. But the the >> I think I'm getting it. But the the >> I think I'm getting it. But the the first is I do not believe that we live first is I do not believe that we live first is I do not believe that we live in a world where there's actually a in a world where there's actually a in a world where there's actually a vision or an understanding first and vision or an understanding first and vision or an understanding first and then a vision on how this massive then a vision on how this massive then a vision on how this massive digital change is going to impact digital change is going to impact digital change is going to impact societies and what kind of values we societies and what kind of values we societies and what kind of values we need to build around that like the one need to build around that like the one need to build around that like the one you first explained. That's level one. you first explained. That's level one. you first explained. That's level one. Level two, the and I've said that Level two, the and I've said that Level two, the and I've said that several time on the show and I've said several time on the show and I've said several time on the show and I've said it at other places publicly as well. The it at other places publicly as well. The it at other places publicly as well. The the the difference with Genai and the the the difference with Genai and the the the difference with Genai and the reason why it generates that much buzz reason why it generates that much buzz reason why it generates that much buzz and interest and illusions is because it and interest and illusions is because it and interest and illusions is because it touches a very fundamental way touches a very fundamental way touches a very fundamental way very very fundamental media or attribute very very fundamental media or attribute very very fundamental media or attribute sorry of human civilization. It's sorry of human civilization. It's sorry of human civilization. It's language. language. language. You talk to that thing. You listen to You talk to that thing. You listen to You talk to that thing. You listen to that thing. you read that thing and that thing. you read that thing and that thing. you read that thing and there is no difference between stuff there is no difference between stuff there is no difference between stuff generated by that thing and somebody generated by that thing and somebody generated by that thing and somebody talking to you and lying to you today. M talking to you and lying to you today. M talking to you and lying to you today. M >> I think this is a very profound poorly >> I think this is a very profound poorly >> I think this is a very profound poorly understood aspect of it because it understood aspect of it because it understood aspect of it because it touches human that no other technologies touches human that no other technologies touches human that no other technologies has ever touched before has ever touched before has ever touched before >> right that's a good point >> right that's a good point >> right that's a good point >> why do so seriously miter like I want to >> why do so seriously miter like I want to >> why do so seriously miter like I want to I want to make make bring some levity I want to make make bring some levity I want to make make bring some levity into this but this was into this but this was into this but this was >> how do we know it's hard facts no this >> how do we know it's hard facts no this >> how do we know it's hard facts no this is hard fact you know people always tell

is hard fact you know people always tell is hard fact you know people always tell me you're a pessimistic I try to be as me you're a pessimistic I try to be as me you're a pessimistic I try to be as as optimistic as I can every day in my as optimistic as I can every day in my as optimistic as I can every day in my life otherwise I would I but if you know life otherwise I would I but if you know life otherwise I would I but if you know but if you if you pause and we just did but if you if you pause and we just did but if you if you pause and we just did and think about it say what is digital and think about it say what is digital and think about it say what is digital wave doing it's actually destroying wave doing it's actually destroying wave doing it's actually destroying society values it's not improving them society values it's not improving them society values it's not improving them it's just the hard fact constant it's just the hard fact constant it's just the hard fact constant surveillance bombardment of advertising surveillance bombardment of advertising surveillance bombardment of advertising fake news fake reality lies I mean we fake news fake reality lies I mean we fake news fake reality lies I mean we now have the ability to document now have the ability to document now have the ability to document everything so your matter that you you everything so your matter that you you everything so your matter that you you were talking about with financial we were talking about with financial we were talking about with financial we could actually be a matter on what is could actually be a matter on what is could actually be a matter on what is the [ __ ] you're telling and what is the [ __ ] you're telling and what is the [ __ ] you're telling and what is the fake you know no facts it could be the fake you know no facts it could be the fake you know no facts it could be >> we're not using it for that we're using >> we're not using it for that we're using >> we're not using it for that we're using it to hide it we're using it to put it to hide it we're using it to put it to hide it we're using it to put layers of other media to light it so layers of other media to light it so layers of other media to light it so >> give me one example of where digital >> give me one example of where digital >> give me one example of where digital innovation has actually created a better innovation has actually created a better innovation has actually created a better framework for values give me one example framework for values give me one example framework for values give me one example >> yeah so you know it's interesting you're >> yeah so you know it's interesting you're >> yeah so you know it's interesting you're saying that true saying that true saying that true >> how I'm still waiting for I'm still >> how I'm still waiting for I'm still >> how I'm still waiting for I'm still waiting for the industrial metaverse to waiting for the industrial metaverse to waiting for the industrial metaverse to start making a real physical things.

start making a real physical things. start making a real physical things. >> Here's the thing that the metaverse that >> Here's the thing that the metaverse that >> Here's the thing that the metaverse that is true about the is true about the is true about the >> the metaverse narrative um >> the metaverse narrative um >> the metaverse narrative um democratization. >> Yeah, >> Yeah, >> that's what you're dealing with is >> that's what you're dealing with is >> that's what you're dealing with is democratization. It doesn't necessarily democratization. It doesn't necessarily democratization. It doesn't necessarily mean democracy, but it is mean democracy, but it is mean democracy, but it is democratization of a lot of stuff. But democratization of a lot of stuff. But democratization of a lot of stuff. But again we had democ we had again we had democ we had again we had democ we had democratization of technology innovation democratization of technology innovation democratization of technology innovation electricity rail and you can actually electricity rail and you can actually electricity rail and you can actually argue that those two significant argue that those two significant argue that those two significant innovation made a lot of good for innovation made a lot of good for innovation made a lot of good for humanity you know it creates ability to humanity you know it creates ability to humanity you know it creates ability to better interact take on the train better interact take on the train better interact take on the train >> right >> right >> right >> it ability of people to live much better >> it ability of people to live much better >> it ability of people to live much better and if they live better they contribute and if they live better they contribute and if they live better they contribute better to their their community and all better to their their community and all better to their their community and all those kind of things now I'm not saying those kind of things now I'm not saying those kind of things now I'm not saying that digital technology especially AI is that digital technology especially AI is that digital technology especially AI is is making everything worse is making everything worse is making everything worse But I see a lot of I don't see again a But I see a lot of I don't see again a But I see a lot of I don't see again a significant, significant, significant, you know, narrative around we're going you know, narrative around we're going you know, narrative around we're going to be better societies. to be better societies. to be better societies. >> Yeah. Yeah. Right. But but here's the >> Yeah. Yeah. Right. But but here's the >> Yeah. Yeah. Right. But but here's the thing.

thing. thing. >> More money. >> More money. >> More money. >> Here's the thing. Dem democratization >> Here's the thing. Dem democratization >> Here's the thing. Dem democratization does not necessarily lend to equality, does not necessarily lend to equality, does not necessarily lend to equality, >> equity, justice, or any of those things. >> equity, justice, or any of those things. >> equity, justice, or any of those things. That's that's why I'm bringing up that That's that's why I'm bringing up that That's that's why I'm bringing up that term and this misconception that term and this misconception that term and this misconception that democracy democracy democracy democratization somehow fosters democratization somehow fosters democratization somehow fosters principles of democracy. principles of democracy. principles of democracy. >> Oh no. >> Oh no. >> Oh no. >> Right. Or sort of the the the liberal um >> Right. Or sort of the the the liberal um >> Right. Or sort of the the the liberal um you know democratic sort of principles. you know democratic sort of principles. you know democratic sort of principles. It It It >> doesn't it actually >> doesn't it actually >> doesn't it actually >> obviously not against it. >> obviously not against it. >> obviously not against it. >> The United States Constitution was not >> The United States Constitution was not >> The United States Constitution was not written by millions of people getting written by millions of people getting written by millions of people getting pen and No, No, >> no, I mean, you know, I I'm just making >> no, I mean, you know, I I'm just making >> no, I mean, you know, I I'm just making a a a a a a a a a statement. I'm not making a political statement. I'm not making a political statement. I'm not making a political statement here at all. statement here at all. statement here at all. >> But but this is beyond politic because >> But but this is beyond politic because >> But but this is beyond politic because you're totally right. You know, the idea you're totally right. You know, the idea you're totally right. You know, the idea and this is why I'm looping back to and this is why I'm looping back to and this is why I'm looping back to leadership. And again, I'm saying I mean leadership. And again, I'm saying I mean leadership. And again, I'm saying I mean leadership can be anything, but the leadership can be anything, but the leadership can be anything, but the point is that the ideas of the leaders point is that the ideas of the leaders point is that the ideas of the leaders translate into societies. If they are translate into societies. If they are translate into societies. If they are good, it's great. If they are bad, it's good, it's great. If they are bad, it's good, it's great. If they are bad, it's bad.

bad. bad. >> But we we picked them. We pick the >> But we we picked them. We pick the >> But we we picked them. We pick the leaders based on um you know um leaders based on um you know um leaders based on um you know um motivations that are most important to motivations that are most important to motivations that are most important to us. us. us. >> Yes. But but motivations are guided by >> Yes. But but motivations are guided by >> Yes. But but motivations are guided by >> collectively >> collectively >> collectively on on on >> it's like a collective soul. >> it's like a collective soul. >> it's like a collective soul. >> Yeah. >> Yeah. >> Yeah. >> Well second. >> Well second. >> Well second. >> This is this is what we want whether we >> This is this is what we want whether we >> This is this is what we want whether we know it or like it or not. know it or like it or not. know it or like it or not. >> I I agree but I I cannot agree more. I'm >> I I agree but I I cannot agree more. I'm >> I I agree but I I cannot agree more. I'm one of the person who who always one of the person who who always one of the person who who always >> I think about democratization versus >> I think about democratization versus >> I think about democratization versus democracy. I democracy. I democracy. I >> I always say the people deserve the >> I always say the people deserve the >> I always say the people deserve the leadership they have. I I totally agree leadership they have. I I totally agree leadership they have. I I totally agree with you. with you. with you. >> That's true. That's true. You know, if >> That's true. That's true. You know, if >> That's true. That's true. You know, if people would show up to vote, maybe they people would show up to vote, maybe they people would show up to vote, maybe they would get what you know when we saw when would get what you know when we saw when would get what you know when we saw when we saw that whole King Day thing and all we saw that whole King Day thing and all we saw that whole King Day thing and all these people are out everywhere and these people are out everywhere and these people are out everywhere and wanting to tear down stuff, I was like, wanting to tear down stuff, I was like, wanting to tear down stuff, I was like, where were all you people last November where were all you people last November where were all you people last November at the polling booth? because you could at the polling booth? because you could at the polling booth? because you could have had your thing then, but you didn't have had your thing then, but you didn't have had your thing then, but you didn't show up and vote.

show up and vote. show up and vote. >> I'm going to I'm going to give you a >> I'm going to I'm going to give you a >> I'm going to I'm going to give you a counter, but I'm going to use an an an counter, but I'm going to use an an an counter, but I'm going to use an an an IoT project thing because we do we do a IoT project thing because we do we do a IoT project thing because we do we do a better job than most at really we thread better job than most at really we thread better job than most at really we thread the political the political the political lines thing. So, um, I would say to you, lines thing. So, um, I would say to you, lines thing. So, um, I would say to you, Rob, that the amount of people that went Rob, that the amount of people that went Rob, that the amount of people that went to a specific protest one day but were to a specific protest one day but were to a specific protest one day but were nowhere to be found or maybe a more nowhere to be found or maybe a more nowhere to be found or maybe a more meaningful day of voting, right? meaningful day of voting, right? meaningful day of voting, right? >> Right. I think those are the same people >> Right. I think those are the same people >> Right. I think those are the same people that at a beginning of an IoT project that at a beginning of an IoT project that at a beginning of an IoT project that can bring benefits and efficiencies that can bring benefits and efficiencies that can bring benefits and efficiencies to a company and they were not there on to a company and they were not there on to a company and they were not there on voting day because they had 15 other voting day because they had 15 other voting day because they had 15 other jobs and they only paid attention and jobs and they only paid attention and jobs and they only paid attention and went to the other protest when poop had went to the other protest when poop had went to the other protest when poop had hit the fan. hit the fan. hit the fan. >> Yeah. And then they that's how I'm gonna >> Yeah. And then they that's how I'm gonna >> Yeah. And then they that's how I'm gonna I love your point of view. I love it. I love your point of view. I love it. I love your point of view. I love it. You know I do.

You know I do. You know I do. >> Yeah. No, it could be. But and and it >> Yeah. No, it could be. But and and it >> Yeah. No, it could be. But and and it just goes back to what Dimmitri says. just goes back to what Dimmitri says. just goes back to what Dimmitri says. You know, you you get what you deserved You know, you you get what you deserved You know, you you get what you deserved and you did you didn't show up and vote and you did you didn't show up and vote and you did you didn't show up and vote and so that's what you got. and so that's what you got. and so that's what you got. >> Exactly. >> Exactly. >> Exactly. >> I also love, you know, I was talking >> I also love, you know, I was talking >> I also love, you know, I was talking today about um uh just language in today about um uh just language in today about um uh just language in general. And I think how many times have general. And I think how many times have general. And I think how many times have we've heard product X, app X, tech X, we've heard product X, app X, tech X, we've heard product X, app X, tech X, democratizing the fill in the blank, democratizing the fill in the blank, democratizing the fill in the blank, right? And when we think of a democracy, right? And when we think of a democracy, right? And when we think of a democracy, we just think, oh man, like all these we just think, oh man, like all these we just think, oh man, like all these people make this decision and and and people make this decision and and and people make this decision and and and and benefit from the thing that they're and benefit from the thing that they're and benefit from the thing that they're talking about. talking about. talking about. >> Yeah. >> Yeah. >> Yeah. >> The revenue is never democratized. The >> The revenue is never democratized. The >> The revenue is never democratized. The decision is and it cannot be. I'm not decision is and it cannot be. I'm not decision is and it cannot be. I'm not saying it. I'm It's just a play on saying it. I'm It's just a play on saying it. I'm It's just a play on words. It's kind of like words. It's kind of like words. It's kind of like >> environmental footprint. Who leaves >> environmental footprint. Who leaves >> environmental footprint. Who leaves footprints? We do. Humans do. Animals footprints? We do. Humans do. Animals footprints? We do. Humans do. Animals do. do. do. >> Well, let's compare all of our >> Well, let's compare all of our >> Well, let's compare all of our footprints to a again and pick your top footprints to a again and pick your top footprints to a again and pick your top poller. I'm not going to mention one, poller. I'm not going to mention one, poller. I'm not going to mention one, >> but we were given that word to distract.

>> but we were given that word to distract. >> but we were given that word to distract. And I think environmental footprint and And I think environmental footprint and And I think environmental footprint and the democrat demo dem democratization the democrat demo dem democratization the democrat demo dem democratization can't even speak now. Yeah. of things can't even speak now. Yeah. of things can't even speak now. Yeah. of things are just um our narratives to distract are just um our narratives to distract are just um our narratives to distract us and keep us from showing up on the us and keep us from showing up on the us and keep us from showing up on the important day. Rob, important day. Rob, important day. Rob, >> do not believe there. I think there's a >> do not believe there. I think there's a >> do not believe there. I think there's a caveat to that because and I mean I say caveat to that because and I mean I say caveat to that because and I mean I say that openly to everybody so I am not shy that openly to everybody so I am not shy that openly to everybody so I am not shy of saying it but I I don't believe that of saying it but I I don't believe that of saying it but I I don't believe that everybody has the necessary ability to everybody has the necessary ability to everybody has the necessary ability to make make up things on their own. People make make up things on their own. People make make up things on their own. People need frameworks and they are raised and need frameworks and they are raised and need frameworks and they are raised and and born lived in frameworks and I think and born lived in frameworks and I think and born lived in frameworks and I think that's what we've lost. You know we we that's what we've lost. You know we we that's what we've lost. You know we we used to have very strong frameworks. used to have very strong frameworks. used to have very strong frameworks. Religion was a very strong framework. Religion was a very strong framework. Religion was a very strong framework. People used to go to church assembled People used to go to church assembled People used to go to church assembled there and and recover every single rig there and and recover every single rig there and and recover every single rig around their values. Not judging you around their values. Not judging you around their values. Not judging you know I'm an atheist myself but it was a know I'm an atheist myself but it was a know I'm an atheist myself but it was a framework that was well entrenched into framework that was well entrenched into framework that was well entrenched into the society and it created a certain the society and it created a certain the society and it created a certain type of behaviors. What I'm saying is type of behaviors. What I'm saying is type of behaviors. What I'm saying is that now there's no more frameworks for that now there's no more frameworks for that now there's no more frameworks for most of the people. So the people at most of the people. So the people at most of the people. So the people at some point they realize, oh shoot, now some point they realize, oh shoot, now some point they realize, oh shoot, now I'm in this crap and now I have to go I'm in this crap and now I have to go I'm in this crap and now I have to go protest. But yeah, I wasn't there. They protest. But yeah, I wasn't there. They protest. But yeah, I wasn't there. They don't even realize that it's because I don't even realize that it's because I don't even realize that it's because I wasn't there on election day. And I wasn't there on election day. And I wasn't there on election day. And I think that the the the control mechanism think that the the the control mechanism think that the the the control mechanism of the societies that actually do not of the societies that actually do not of the societies that actually do not want democracy encourage that obviously want democracy encourage that obviously want democracy encourage that obviously because the less people realize too because the less people realize too because the less people realize too late, the less the more it is too late late, the less the more it is too late late, the less the more it is too late and the better it is. So again and and and the better it is. So again and and and the better it is. So again and and I'm circling back to my original idea.

I'm circling back to my original idea. I'm circling back to my original idea. Where is the vision? Now the positive Where is the vision? Now the positive Where is the vision? Now the positive aspect is that I have actually had very aspect is that I have actually had very aspect is that I have actually had very heated discussion a couple of times in heated discussion a couple of times in heated discussion a couple of times in my life with people where I argued that my life with people where I argued that my life with people where I argued that if artificial intelligence reaches a if artificial intelligence reaches a if artificial intelligence reaches a point that it really become intelligent point that it really become intelligent point that it really become intelligent and it's probably not going to be using and it's probably not going to be using and it's probably not going to be using the brute force Nvidia's going rich the brute force Nvidia's going rich the brute force Nvidia's going rich technologies but if it reach that point technologies but if it reach that point technologies but if it reach that point you can envision a world where this you can envision a world where this you can envision a world where this artificial intelligence actually get artificial intelligence actually get artificial intelligence actually get higher and get better at values. And higher and get better at values. And higher and get better at values. And this is why I always hate the term this is why I always hate the term this is why I always hate the term artificial because artificial we kind of artificial because artificial we kind of artificial because artificial we kind of human intelligence is the best and human intelligence is the best and human intelligence is the best and artificial is bad. What I'm saying is artificial is bad. What I'm saying is artificial is bad. What I'm saying is that artificial could one day could that artificial could one day could that artificial could one day could become so good that it actually elevates become so good that it actually elevates become so good that it actually elevates to even better values. to even better values. to even better values. >> Well, good at what is the question. Um I >> Well, good at what is the question. Um I >> Well, good at what is the question. Um I don't don't don't >> know well to if I were to answer what we >> know well to if I were to answer what we >> know well to if I were to answer what we just said it would be creating a system just said it would be creating a system just said it would be creating a system and a framework where individuals and a framework where individuals and a framework where individuals actually are inspired by a greater actually are inspired by a greater actually are inspired by a greater vision. love this. vision. love this. vision. love this. >> How How do you know that that's the >> How How do you know that that's the >> How How do you know that that's the conclusion it will come up with? Maybe conclusion it will come up with? Maybe conclusion it will come up with? Maybe it'll say it'll say it'll say >> come up with like what we talked about a >> come up with like what we talked about a >> come up with like what we talked about a long time ago that it's going to read long time ago that it's going to read long time ago that it's going to read some, you know, um sustainability white some, you know, um sustainability white some, you know, um sustainability white papers from a few years ago. It's going papers from a few years ago. It's going papers from a few years ago. It's going to look at what we're doing to the to look at what we're doing to the to look at what we're doing to the planet with AI in terms of creating an planet with AI in terms of creating an planet with AI in terms of creating an energy crisis and quote unquote energy crisis and quote unquote energy crisis and quote unquote destroying the Earth. and is going to destroying the Earth. and is going to destroying the Earth. and is going to realize, hey, these guys are the realize, hey, these guys are the realize, hey, these guys are the problems.

problems. problems. >> Maybe what what what kind of motivation, >> Maybe what what what kind of motivation, >> Maybe what what what kind of motivation, what kind of driver do you think is out what kind of driver do you think is out what kind of driver do you think is out there that would get any kind of there that would get any kind of there that would get any kind of sensient, you know, um being either from sensient, you know, um being either from sensient, you know, um being either from another planet or something that we've another planet or something that we've another planet or something that we've engineered and created to think, hey, engineered and created to think, hey, engineered and created to think, hey, we're not the problem. we're not the problem. we're not the problem. Well, Well, Well, >> all the information out there that's >> all the information out there that's >> all the information out there that's been published, all the movies. been published, all the movies. been published, all the movies. >> Yeah, that is No, I would agree that is >> Yeah, that is No, I would agree that is >> Yeah, that is No, I would agree that is probably natural. probably natural. probably natural. >> I don't that you don't get how people >> I don't that you don't get how people >> I don't that you don't get how people come up with that conclusion. come up with that conclusion. come up with that conclusion. >> This thing is going to save. >> This thing is going to save. >> This thing is going to save. >> But it's not a conclusion. It's a >> But it's not a conclusion. It's a >> But it's not a conclusion. It's a hypothesis. But the hypothesis, hypothesis. But the hypothesis, hypothesis. But the hypothesis, you could imagine a system, you could imagine a system, you could imagine a system, >> a thesis to a conclusion. You're you're >> a thesis to a conclusion. You're you're >> a thesis to a conclusion. You're you're suggesting a conclusion. suggesting a conclusion. suggesting a conclusion. >> No, I'm not suggesting a conclusion. I'm >> No, I'm not suggesting a conclusion. I'm >> No, I'm not suggesting a conclusion. I'm saying that No, no, I didn't say that. I saying that No, no, I didn't say that. I saying that No, no, I didn't say that. I said that We should not exclude the fact said that We should not exclude the fact said that We should not exclude the fact that a a a nonhuman intelligence could that a a a nonhuman intelligence could that a a a nonhuman intelligence could emerge out of technology.

emerge out of technology. emerge out of technology. >> I think it already has. It could. >> I think it already has. It could. >> I think it already has. It could. >> No, no, I don't think. No. Everything >> No, no, I don't think. No. Everything >> No, no, I don't think. No. Everything that we created are just trying to mimic that we created are just trying to mimic that we created are just trying to mimic humans because they actually only look humans because they actually only look humans because they actually only look at No, here's the thing. at No, here's the thing. at No, here's the thing. >> The illusion is good enough. That's the >> The illusion is good enough. That's the >> The illusion is good enough. That's the problem. problem. problem. >> Yeah, I agree with that. But none of >> Yeah, I agree with that. But none of >> Yeah, I agree with that. But none of these model create or come to conclusion these model create or come to conclusion these model create or come to conclusion by their own observation. All they've by their own observation. All they've by their own observation. All they've been told is human generated content. been told is human generated content. been told is human generated content. >> It's apparent >> It's apparent >> It's apparent >> and they don't have and they don't and >> and they don't have and they don't and >> and they don't have and they don't and they don't very important which is they don't very important which is they don't very important which is actually probably one interesting actually probably one interesting actually probably one interesting element. They do not have sensors to element. They do not have sensors to element. They do not have sensors to make their own personal observation. make their own personal observation. make their own personal observation. >> So what no it all it needs I mean I >> So what no it all it needs I mean I >> So what no it all it needs I mean I would argue all it needs is whatever we would argue all it needs is whatever we would argue all it needs is whatever we feed it feed it feed it >> at any given point in time. If it can >> at any given point in time. If it can >> at any given point in time. If it can create a compelling enough illusion create a compelling enough illusion create a compelling enough illusion that's good enough. And that's the that's good enough. And that's the that's good enough. And that's the problem with this whole AGI argument. problem with this whole AGI argument. problem with this whole AGI argument. It's all relative. And as soon as It's all relative. And as soon as It's all relative. And as soon as you we hit a critical mass of people who you we hit a critical mass of people who you we hit a critical mass of people who believe this thing is intelligent, believe this thing is intelligent, believe this thing is intelligent, >> agreed, >> agreed, >> agreed, >> then guess what? By a democratic >> then guess what? By a democratic >> then guess what? By a democratic process, process, process, >> but it is intelligent. And then there's >> but it is intelligent. And then there's >> but it is intelligent. And then there's going to be a smaller minority of people going to be a smaller minority of people going to be a smaller minority of people who will argue that it isn't. And what who will argue that it isn't. And what who will argue that it isn't. And what are you going to do? You're just going are you going to do? You're just going are you going to do? You're just going to be minority voice. Right.

to be minority voice. Right. to be minority voice. Right. >> No, no, we we're in viol >> No, no, we we're in viol >> No, no, we we're in viol agreement here. I said from the from the agreement here. I said from the from the agreement here. I said from the from the very beginning that the way we were very beginning that the way we were very beginning that the way we were doing AI today would not be that doing AI today would not be that doing AI today would not be that potentially higher than potentially higher than potentially higher than >> I mean I think it's going to turn out >> I mean I think it's going to turn out >> I mean I think it's going to turn out more like Grock more like Grock more like Grock right this week bringing Tay 2.0 X.0 right this week bringing Tay 2.0 X.0 right this week bringing Tay 2.0 X.0 >> it keeps going in that direction. I mean >> it keeps going in that direction. I mean >> it keeps going in that direction. I mean you know it's unavoidable. We you know it's unavoidable. We you know it's unavoidable. We >> be careful what data you feed your AI, >> be careful what data you feed your AI, >> be careful what data you feed your AI, right? You you may turn into Hitler. I right? You you may turn into Hitler. I right? You you may turn into Hitler. I mean, you know, he was training on X mean, you know, he was training on X mean, you know, he was training on X content, which is formerly Twitter, content, which is formerly Twitter, content, which is formerly Twitter, which is we saw which is we saw which is we saw in the first place. in the first place. in the first place. >> Microsoft trained Tay on Twitter, and >> Microsoft trained Tay on Twitter, and >> Microsoft trained Tay on Twitter, and look what happened. look what happened. look what happened. No, but we we we're in violent. We're in No, but we we we're in violent. We're in No, but we we we're in violent. We're in violent. violent. violent. >> No, I love it. It's great that we're in >> No, I love it. It's great that we're in >> No, I love it. It's great that we're in violent violent violent seemingly disagreement, but we're seemingly disagreement, but we're seemingly disagreement, but we're agreeing. Yes. agreeing. Yes. agreeing. Yes. >> I love the You're right about the >> I love the You're right about the >> I love the You're right about the framework thing. And luckily, as the framework thing. And luckily, as the framework thing. And luckily, as the architect, I've created a new framework architect, I've created a new framework architect, I've created a new framework society. I'm going to call it the society. I'm going to call it the society. I'm going to call it the matrix.

matrix. matrix. >> No, I was I >> No, I was I >> No, I was I was going that way. I think if we if if was going that way. I think if we if if was going that way. I think if we if if if we if we follow what we saw the if we if we follow what we saw the if we if we follow what we saw the likeliness scenario of a matrix is an likeliness scenario of a matrix is an likeliness scenario of a matrix is an extremely valid one because if we train extremely valid one because if we train extremely valid one because if we train this AI on the same foundational of this AI on the same foundational of this AI on the same foundational of humans which is you have to survive humans which is you have to survive humans which is you have to survive because that's the problem as well we because that's the problem as well we because that's the problem as well we human we become intelligent entities by human we become intelligent entities by human we become intelligent entities by fighting for survival and I think that's fighting for survival and I think that's fighting for survival and I think that's one of the biggest flow because we can't one of the biggest flow because we can't one of the biggest flow because we can't eliminate that deepian brain eliminate that deepian brain eliminate that deepian brain >> but you're making a really interesting >> but you're making a really interesting >> but you're making a really interesting point fighting for survival in this point fighting for survival in this point fighting for survival in this competitive element Especially when you competitive element Especially when you competitive element Especially when you look at like the AI wars between China look at like the AI wars between China look at like the AI wars between China and the US and there's a perception in and the US and there's a perception in and the US and there's a perception in the US that we um we want to or at least the US that we um we want to or at least the US that we um we want to or at least our AI community wants to create an AI our AI community wants to create an AI our AI community wants to create an AI that that's basically trained on that that's basically trained on that that's basically trained on everything right um the Chinese on the everything right um the Chinese on the everything right um the Chinese on the other hand the Chinese government the other hand the Chinese government the other hand the Chinese government the CCP on the other hand is fostering and CCP on the other hand is fostering and CCP on the other hand is fostering and the AI community there is fostering the AI community there is fostering the AI community there is fostering something It is seemingly something very something It is seemingly something very something It is seemingly something very different which is um we train on a different which is um we train on a different which is um we train on a corpus of highquality knowledge corpus of highquality knowledge corpus of highquality knowledge knowledge base and we create high knowledge base and we create high knowledge base and we create high quality tokens right we don't try to quality tokens right we don't try to quality tokens right we don't try to train on everything train on everything train on everything and their their approach is more and their their approach is more and their their approach is more paranoid and what I think we're starting paranoid and what I think we're starting paranoid and what I think we're starting to see and actually you listen to a lot

to see and actually you listen to a lot to see and actually you listen to a lot of podcasts these days you hear a lot of podcasts these days you hear a lot of podcasts these days you hear a lot more about this how the Chinese actually more about this how the Chinese actually more about this how the Chinese actually have better data than and so this whole have better data than and so this whole have better data than and so this whole race with scale AI and this other race with scale AI and this other race with scale AI and this other company spongy AI or something like that company spongy AI or something like that company spongy AI or something like that these guys are in a race to try to get these guys are in a race to try to get these guys are in a race to try to get good data because the Chinese are good data because the Chinese are good data because the Chinese are beating beating beating the the you know the western model the the you know the western model the the you know the western model building building building >> let me ask you the as you know I am in >> let me ask you the as you know I am in >> let me ask you the as you know I am in charge of the dumb questions every charge of the dumb questions every charge of the dumb questions every episode let me ask you dumb questions is episode let me ask you dumb questions is episode let me ask you dumb questions is it that the Chinese somehow someway have it that the Chinese somehow someway have it that the Chinese somehow someway have access to better data, therefore they're access to better data, therefore they're access to better data, therefore they're using that data to train their models using that data to train their models using that data to train their models and advance AI and advance AI and advance AI >> or is it that we we Americans, we have >> or is it that we we Americans, we have >> or is it that we we Americans, we have the same data as the Chinese, but we the same data as the Chinese, but we the same data as the Chinese, but we chose differently like we went all data chose differently like we went all data chose differently like we went all data instead of high quality data. instead of high quality data. instead of high quality data. >> Yeah. I think that's the right I think >> Yeah. I think that's the right I think >> Yeah. I think that's the right I think that's the more the better answer that's the more the better answer that's the more the better answer because China is using a subset of all because China is using a subset of all because China is using a subset of all the data that's curated the data that's curated the data that's curated >> to within the great firewall of China >> to within the great firewall of China >> to within the great firewall of China whereas out here we're just it's a whereas out here we're just it's a whereas out here we're just it's a free-for-all we're using all the data free-for-all we're using all the data free-for-all we're using all the data good bad whatever as opposed to a good bad whatever as opposed to a good bad whatever as opposed to a curated data set curated data set curated data set >> yeah they're not I I my my impression is >> yeah they're not I I my my impression is >> yeah they're not I I my my impression is they're not going for a world model in they're not going for a world model in they're not going for a world model in terms of a foundation model right um terms of a foundation model right um terms of a foundation model right um they they don't want and trained on all they they don't want and trained on all they they don't want and trained on all the junk. They their whole thing is we the junk. They their whole thing is we the junk. They their whole thing is we want a models that are efficient and

want a models that are efficient and want a models that are efficient and have high quality knowledge and have high quality knowledge and have high quality knowledge and perspective but all obviously their perspective but all obviously their perspective but all obviously their definition of it is going to be definition of it is going to be definition of it is going to be completely affected by their whole completely affected by their whole completely affected by their whole political point of view right so it is political point of view right so it is political point of view right so it is going to be biased but the thing is is going to be biased but the thing is is going to be biased but the thing is is there's this discipline of quality that there's this discipline of quality that there's this discipline of quality that has gone into what they're doing has gone into what they're doing has gone into what they're doing apparently okay apparently okay apparently okay >> nobody really knows but when read a lot >> nobody really knows but when read a lot >> nobody really knows but when read a lot of the papers which most people don't of the papers which most people don't of the papers which most people don't and I have you get a sense of that the and I have you get a sense of that the and I have you get a sense of that the Chinese researchers have really focused Chinese researchers have really focused Chinese researchers have really focused a lot on data but also the architecture a lot on data but also the architecture a lot on data but also the architecture of the the foundational models of the the foundational models of the the foundational models themselves and and so all this themselves and and so all this themselves and and so all this pre-training stuff is not gone actually pre-training stuff is not gone actually pre-training stuff is not gone actually they're they're looking at doing it much they're they're looking at doing it much they're they're looking at doing it much more efficiently and they see it as a more efficiently and they see it as a more efficiently and they see it as a found truly a foundational thing where found truly a foundational thing where found truly a foundational thing where we're now disregarding it because it's we're now disregarding it because it's we're now disregarding it because it's too costly to train foundational models too costly to train foundational models too costly to train foundational models now we're way into distillation all this now we're way into distillation all this now we're way into distillation all this post- trainining stuff which are just uh post- trainining stuff which are just uh post- trainining stuff which are just uh you know workarounds right so there's you know workarounds right so there's you know workarounds right so there's like a totally different discipline like a totally different discipline like a totally different discipline between what the Chinese uh AI community between what the Chinese uh AI community between what the Chinese uh AI community is doing and what the western and US-led is doing and what the western and US-led is doing and what the western and US-led >> and I and I do I do believe this is the >> and I and I do I do believe this is the >> and I and I do I do believe this is the the right way to do it but the right way to do it but the right way to do it but I would question the your your >> I would question to uh to uh your your >> I would question to uh to uh your your your your your assessment that it's a your your your assessment that it's a your your your assessment that it's a seek for quality or high quality as seek for quality or high quality as seek for quality or high quality as opposed to control or high control.

I love I love this chat because you know I love I love this chat because you know at the end of the day right we the at the end of the day right we the at the end of the day right we the humans are giving a very defined purpose humans are giving a very defined purpose humans are giving a very defined purpose to this thing control quality quantity to this thing control quality quantity to this thing control quality quantity right like we are making the decisions right like we are making the decisions right like we are making the decisions we're the ones cooking we're the ones cooking we're the ones cooking and then we're feeding and we're going and then we're feeding and we're going and then we're feeding and we're going to get something you know garbage in to get something you know garbage in to get something you know garbage in garbage out good food good results right garbage out good food good results right garbage out good food good results right input output um I I hope we're here input output um I I hope we're here input output um I I hope we're here right before we see the the ICBM hit and right before we see the the ICBM hit and right before we see the the ICBM hit and we can do one last show as the blast we can do one last show as the blast we can do one last show as the blast comes way. comes way. comes way. >> Well, you know the you know um there's >> Well, you know the you know um there's >> Well, you know the you know um there's only a finite amount of quality only a finite amount of quality only a finite amount of quality knowledge. You can pollute a knowledge knowledge. You can pollute a knowledge knowledge. You can pollute a knowledge base with a bunch of junk and the base with a bunch of junk and the base with a bunch of junk and the internet is just a ton of trash. Right. internet is just a ton of trash. Right. internet is just a ton of trash. Right. I'm not so sure about that, but there's I'm not so sure about that, but there's I'm not so sure about that, but there's a very large amount of highquality a very large amount of highquality a very large amount of highquality scientific research data and then scientific research data and then scientific research data and then there's an enormous amount of noise there's an enormous amount of noise there's an enormous amount of noise saying the same thing in many different saying the same thing in many different saying the same thing in many different places. So if you look at the I mean if places. So if you look at the I mean if places. So if you look at the I mean if you I mean you I mean you I mean >> but but but that okay so even within but >> but but but that okay so even within but >> but but but that okay so even within but that's where again if we're just talking that's where again if we're just talking that's where again if we're just talking about academic knowledge yeah there's a about academic knowledge yeah there's a about academic knowledge yeah there's a bunch of junk as well but I mean when bunch of junk as well but I mean when bunch of junk as well but I mean when you're starting to like train your model you're starting to like train your model you're starting to like train your model on like the comments on Twitter.

on like the comments on Twitter. on like the comments on Twitter. >> Yeah because we which because as as as >> Yeah because we which because as as as >> Yeah because we which because as as as David David David >> that's part of the knowledge corpus that >> that's part of the knowledge corpus that >> that's part of the knowledge corpus that some people are like happy some people are like happy some people are like happy because because we confuse because as because because we confuse because as because because we confuse because as David was saying we cons we confuse David was saying we cons we confuse David was saying we cons we confuse volume of data and and and knowledge I volume of data and and and knowledge I volume of data and and and knowledge I mean I'm not I'm not confusing volume of mean I'm not I'm not confusing volume of mean I'm not I'm not confusing volume of data and knowledge I mean the the the data and knowledge I mean the the the data and knowledge I mean the the the amount of knowledge you have on Twitter amount of knowledge you have on Twitter amount of knowledge you have on Twitter on through social or whatever is on through social or whatever is on through social or whatever is probably 0 something% as opposed to probably 0 something% as opposed to probably 0 something% as opposed to looking at the Brit onopedia so of looking at the Brit onopedia so of looking at the Brit onopedia so of course yeah we all agree if you measure course yeah we all agree if you measure course yeah we all agree if you measure the training of the data just by the the training of the data just by the the training of the data just by the sheer volume without assessing its sheer volume without assessing its sheer volume without assessing its origin. Yeah, of course. Yeah, that's origin. Yeah, of course. Yeah, that's origin. Yeah, of course. Yeah, that's there's much more noise than than real there's much more noise than than real there's much more noise than than real quality value. But if you if you quality value. But if you if you quality value. But if you if you summarize the noise to whatever concept summarize the noise to whatever concept summarize the noise to whatever concept it carries and compare that to the it carries and compare that to the it carries and compare that to the amount of knowledge, scientific amount of knowledge, scientific amount of knowledge, scientific knowledge we've accumulated, I bet you knowledge we've accumulated, I bet you knowledge we've accumulated, I bet you it's a it's 100 to or it's a it's 100 to or it's a it's 100 to or thousands to one because there's no one thousands to one because there's no one thousands to one because there's no one single great idea in all this noise. Is single great idea in all this noise. Is single great idea in all this noise. Is what I'm saying? Mhm.

what I'm saying? Mhm. what I'm saying? Mhm. >> So we have the proletariat >> So we have the proletariat >> So we have the proletariat data and we have the boogeoisi data over data and we have the boogeoisi data over data and we have the boogeoisi data over here. here. here. >> No, this is wrong. This is not because >> No, this is wrong. This is not because >> No, this is wrong. This is not because you're proletarian that you have more you're proletarian that you have more you're proletarian that you have more stupid ideas and the bas have more. I stupid ideas and the bas have more. I stupid ideas and the bas have more. I mean maybe statistically to some extent, mean maybe statistically to some extent, mean maybe statistically to some extent, but no, I disagree with that. There's but no, I disagree with that. There's but no, I disagree with that. There's junk data created by people who do not junk data created by people who do not junk data created by people who do not have the right framework to create have the right framework to create have the right framework to create anything else than junk. And then there anything else than junk. And then there anything else than junk. And then there is great data. That's the difference. I is great data. That's the difference. I is great data. That's the difference. I don't think it's necessarily an issue. I don't think it's necessarily an issue. I don't think it's necessarily an issue. I would like to have Dimmitri on TV, you would like to have Dimmitri on TV, you would like to have Dimmitri on TV, you know, talking to the idiocracy masses of know, talking to the idiocracy masses of know, talking to the idiocracy masses of people out there and saying, "Listen, people out there and saying, "Listen, people out there and saying, "Listen, your problem is you have the wrong." your problem is you have the wrong." your problem is you have the wrong." >> I haven't said that. >> I haven't said that. >> I haven't said that. >> You're just like, "What?" >> You're just like, "What?" >> You're just like, "What?" >> No, I haven't said that. I actually >> No, I haven't said that. I actually >> No, I haven't said that. I actually don't think that there are that many don't think that there are that many don't think that there are that many stupid people. There are some, but I stupid people. There are some, but I stupid people. There are some, but I mean, really stupid. By stupid, I define mean, really stupid. By stupid, I define mean, really stupid. By stupid, I define people. You You try to explain them. I people. You You try to explain them. I people. You You try to explain them. I don't get it. I don't think there are don't get it. I don't think there are don't get it. I don't think there are many of that. Most people really many of that. Most people really many of that. Most people really understand when you explain. understand when you explain. understand when you explain. >> There there's ignorant people. >> There there's ignorant people. >> There there's ignorant people. >> I don't know, man. Nothing wrong with >> I don't know, man. Nothing wrong with >> I don't know, man. Nothing wrong with that. stupid people. that. stupid people. that. stupid people. >> People raised and educated in a proper >> People raised and educated in a proper >> People raised and educated in a proper framework will understand the majority framework will understand the majority framework will understand the majority of important things in life if you of important things in life if you of important things in life if you explain them well using a truth explain them well using a truth explain them well using a truth reference. That's right. But but that's reference. That's right. But but that's reference. That's right. But but that's like 90% of the people. Then you have a like 90% of the people. Then you have a like 90% of the people. Then you have a small percentage of pure idiots and small percentage of pure idiots and small percentage of pure idiots and evenly even more smaller percentage of evenly even more smaller percentage of evenly even more smaller percentage of people who are really bright in the people who are really bright in the people who are really bright in the sense that they can figure out things on sense that they can figure out things on sense that they can figure out things on their own. The vast majority figure out their own. The vast majority figure out their own. The vast majority figure out things when you teach them if they are things when you teach them if they are things when you teach them if they are developed in the right framework. That's developed in the right framework. That's developed in the right framework. That's my philosophy in life. So I don't think my philosophy in life. So I don't think my philosophy in life. So I don't think there are many. So a lot of people end there are many. So a lot of people end there are many. So a lot of people end up being perceived as idiots because up being perceived as idiots because up being perceived as idiots because they're not raised in the right they're not raised in the right they're not raised in the right framework. They're not educated to the framework. They're not educated to the framework. They're not educated to the right knowledge and then they they just

right knowledge and then they they just right knowledge and then they they just go where they've been told. go where they've been told. go where they've been told. >> Wow. >> Wow. >> Wow. >> Well, yeah. I mean, >> Well, yeah. I mean, >> Well, yeah. I mean, >> yeah, >> yeah, >> yeah, >> you have to blend ignorance and there is >> you have to blend ignorance and there is >> you have to blend ignorance and there is not a bad thing. not a bad thing. not a bad thing. >> Everyone's ignorant. We're all ignorant. >> Everyone's ignorant. We're all ignorant. >> Everyone's ignorant. We're all ignorant. >> Let me give you a practical example of >> Let me give you a practical example of >> Let me give you a practical example of that. Why is our society making so much that. Why is our society making so much that. Why is our society making so much money out of advertising? money out of advertising? money out of advertising? Because people can be influenced. And Because people can be influenced. And Because people can be influenced. And most of these advertising are total most of these advertising are total most of these advertising are total [ __ ] But people buy the crap. Raise [ __ ] But people buy the crap. Raise [ __ ] But people buy the crap. Raise people ideas. That's why you my biggest people ideas. That's why you my biggest people ideas. That's why you my biggest ideas in the past year has been you want ideas in the past year has been you want ideas in the past year has been you want to do something good for humanity, ban to do something good for humanity, ban to do something good for humanity, ban advertising. Zero out of low. No more advertising. Zero out of low. No more advertising. Zero out of low. No more advertising. No more advertising. advertising. No more advertising. advertising. No more advertising. >> Bad advertising. >> Bad advertising. >> Bad advertising. >> Ban it. No more. >> Ban it. No more. >> Ban it. No more. >> People keep buying stupid [ __ ] don't >> People keep buying stupid [ __ ] don't >> People keep buying stupid [ __ ] don't they? they? they? >> Yeah. No, ban advertising. Make >> Yeah. No, ban advertising. Make >> Yeah. No, ban advertising. Make information available so that people can information available so that people can information available so that people can freely look at it and make up their freely look at it and make up their freely look at it and make up their mind. But ban this bombardment of mind. But ban this bombardment of mind. But ban this bombardment of advertising [ __ ] You know, by the advertising [ __ ] You know, by the advertising [ __ ] You know, by the way, behavioral advertising, which is way, behavioral advertising, which is way, behavioral advertising, which is societ surveillance society targeting societ surveillance society targeting societ surveillance society targeting you for ads, this should be banned you for ads, this should be banned you for ads, this should be banned because this is really really vicious.

because this is really really vicious. because this is really really vicious. But even if you ban the whole But even if you ban the whole But even if you ban the whole advertising thing, think about it for I advertising thing, think about it for I advertising thing, think about it for I mean I mean I know it's it's your people mean I mean I know it's it's your people mean I mean I know it's it's your people react to that and you're an idiot. Okay, react to that and you're an idiot. Okay, react to that and you're an idiot. Okay, but think about it a little bit. Imagine but think about it a little bit. Imagine but think about it a little bit. Imagine a world there's no advertising. You want a world there's no advertising. You want a world there's no advertising. You want to buy something, there's a website, you to buy something, there's a website, you to buy something, there's a website, you go there, you see all the information, go there, you see all the information, go there, you see all the information, you see the opinions of people, and you you see the opinions of people, and you you see the opinions of people, and you figure out your mind. figure out your mind. figure out your mind. >> Yeah. No, I think the answer is just >> Yeah. No, I think the answer is just >> Yeah. No, I think the answer is just give people a choice. give people a choice. give people a choice. >> I'm I'm going to share this clip because >> I'm I'm going to share this clip because >> I'm I'm going to share this clip because I think I am the out of those four, I think I am the out of those four, I think I am the out of those four, >> I might be I'm going to say this with a >> I might be I'm going to say this with a >> I might be I'm going to say this with a high degree of confidence that I have high degree of confidence that I have high degree of confidence that I have the most friends in advertising than the the most friends in advertising than the the most friends in advertising than the three of you. So, I'm going to see if three of you. So, I'm going to see if three of you. So, I'm going to see if anyone No, no, no. This is good. Here's anyone No, no, no. This is good. Here's anyone No, no, no. This is good. Here's the thing. I would love one of my the thing. I would love one of my the thing. I would love one of my friends to come on in and and refute friends to come on in and and refute friends to come on in and and refute Dimmitri's point. Please Dimmitri's point. Please Dimmitri's point. Please >> why why should we why should we get rid >> why why should we why should we get rid >> why why should we why should we get rid of advertising? I Why not? I'm not an of advertising? I Why not? I'm not an of advertising? I Why not? I'm not an expert in advertising. Maybe we learn expert in advertising. Maybe we learn expert in advertising. Maybe we learn something new. I think some of the something new. I think some of the something new. I think some of the arguments will be time, right? You know arguments will be time, right? You know arguments will be time, right? You know the we need things. I don't know. I have the we need things. I don't know. I have the we need things. I don't know. I have a you know t-shirt and a hat.

a you know t-shirt and a hat. a you know t-shirt and a hat. >> Maybe advertise if good advertising >> Maybe advertise if good advertising >> Maybe advertise if good advertising doesn't we've already been influenced. doesn't we've already been influenced. doesn't we've already been influenced. We don't even think of the ad. We just We don't even think of the ad. We just We don't even think of the ad. We just like go and buy something like Rob and like go and buy something like Rob and like go and buy something like Rob and I, we like this very specific French I, we like this very specific French I, we like this very specific French butter, but it's better than anything butter, but it's better than anything butter, but it's better than anything else. Advertise away. It's the best else. Advertise away. It's the best else. Advertise away. It's the best butter, man. I think people should know butter, man. I think people should know butter, man. I think people should know about butter from about butter from about butter from >> But there is there is a technology there >> But there is there is a technology there >> But there is there is a technology there is the technology answer to that. is the technology answer to that. is the technology answer to that. Imagine that all the pro people that Imagine that all the pro people that Imagine that all the pro people that produce products provide an accurate produce products provide an accurate produce products provide an accurate factual description of their product. factual description of their product. factual description of their product. Imagine that now you have a way to Imagine that now you have a way to Imagine that now you have a way to express your attribute and your express your attribute and your express your attribute and your preference. Put those two things geni preference. Put those two things geni preference. Put those two things geni and you get in a millisecond exactly and you get in a millisecond exactly and you get in a millisecond exactly what you need. You wake up in the what you need. You wake up in the what you need. You wake up in the morning said I want a new t-shirt. morning said I want a new t-shirt. morning said I want a new t-shirt. >> Dude, if you're shopping for a PCB board >> Dude, if you're shopping for a PCB board >> Dude, if you're shopping for a PCB board made by 15 different OEMs and they just made by 15 different OEMs and they just made by 15 different OEMs and they just present facts and specs. What's the present facts and specs. What's the present facts and specs. What's the difference other than cost? difference other than cost? difference other than cost? >> That's what the AI would tell you. The >> That's what the AI would tell you. The >> That's what the AI would tell you. The different there is no difference in all different there is no difference in all different there is no difference in all those different offers. the cheaper is those different offers. the cheaper is those different offers. the cheaper is that at the moment? Buy this one. Done.

that at the moment? Buy this one. Done. that at the moment? Buy this one. Done. Over. Over. Over. >> Well, you know what? I like Rob >> Well, you know what? I like Rob >> Well, you know what? I like Rob Tiffany's company because Rob's a cool Tiffany's company because Rob's a cool Tiffany's company because Rob's a cool dude and he makes some mean queso. Rob, dude and he makes some mean queso. Rob, dude and he makes some mean queso. Rob, I will buy your PCB boards even though I will buy your PCB boards even though I will buy your PCB boards even though they're priced at 75% higher cost. they're priced at 75% higher cost. they're priced at 75% higher cost. >> The AI will tell you if the the AI will >> The AI will tell you if the the AI will >> The AI will tell you if the the AI will tell you if it knows that. He says, "But tell you if it knows that. He says, "But tell you if it knows that. He says, "But by the way, David, I know that you like by the way, David, I know that you like by the way, David, I know that you like Rob. You going to do that?" Or it will Rob. You going to do that?" Or it will Rob. You going to do that?" Or it will tell you, "I know that recently you tell you, "I know that recently you tell you, "I know that recently you supported this cause which this company supported this cause which this company supported this cause which this company has invested last week and you should has invested last week and you should has invested last week and you should buy this one even if it's more buy this one even if it's more buy this one even if it's more expensive." I mean that if again that's expensive." I mean that if again that's expensive." I mean that if again that's advertising. No, that's advertising. advertising. No, that's advertising. advertising. No, that's advertising. >> No, no, no, no, no. It's asking advice >> No, no, no, no, no. It's asking advice >> No, no, no, no, no. It's asking advice from a trusted advisor. And if you and from a trusted advisor. And if you and from a trusted advisor. And if you and if you build an AI engine that is based if you build an AI engine that is based if you build an AI engine that is based on truth, I mean on valuable factual on truth, I mean on valuable factual on truth, I mean on valuable factual data and you instruct it with your data and you instruct it with your data and you instruct it with your personal bias, then you've reverse personal bias, then you've reverse personal bias, then you've reverse advertising. You're not having an entity advertising. You're not having an entity advertising. You're not having an entity that doesn't know you try to know you by that doesn't know you try to know you by that doesn't know you try to know you by surveillance and then bombard you with surveillance and then bombard you with surveillance and then bombard you with [ __ ] until you buy something. I'm [ __ ] until you buy something. I'm [ __ ] until you buy something. I'm not saying that people should not have not saying that people should not have not saying that people should not have access to information or easy mechanism. access to information or easy mechanism. access to information or easy mechanism. But I think that the principle of what I But I think that the principle of what I But I think that the principle of what I just said which is I'm trying to extract just said which is I'm trying to extract just said which is I'm trying to extract as a vendor as much information of a as a vendor as much information of a as a vendor as much information of a customer through surveillance then I'm customer through surveillance then I'm customer through surveillance then I'm bombarding as much as I can so he can bombarding as much as I can so he can bombarding as much as I can so he can buy my stuff. This is bad.

buy my stuff. This is bad. buy my stuff. This is bad. >> No actually the whole system the purpose >> No actually the whole system the purpose >> No actually the whole system the purpose of it is sort of not to do it that way. of it is sort of not to do it that way. of it is sort of not to do it that way. It's basically to do a hyper event It's basically to do a hyper event It's basically to do a hyper event based based based um persona based targeting. So it's um persona based targeting. So it's um persona based targeting. So it's extra noise and do extra noise and do extra noise and do okay. So yeah. Okay. So maybe we can okay. So yeah. Okay. So maybe we can okay. So yeah. Okay. So maybe we can >> we can allow some level of marketing or >> we can allow some level of marketing or >> we can allow some level of marketing or advertising that is targeted based on advertising that is targeted based on advertising that is targeted based on facts. facts. facts. Advertising is not doing targeting. Advertising is not doing targeting. Advertising is not doing targeting. Advertising is doing influencing. That's Advertising is doing influencing. That's Advertising is doing influencing. That's the problem. They do psychology the problem. They do psychology the problem. They do psychology analysis. They do data analysis. I mean analysis. They do data analysis. I mean analysis. They do data analysis. I mean they put they put slopes into they put they put slopes into they put they put slopes into supermarkets so you can't drugs down to supermarkets so you can't drugs down to supermarkets so you can't drugs down to the most expensive. the most expensive. the most expensive. >> Ideally that's why that's why like um >> Ideally that's why that's why like um >> Ideally that's why that's why like um >> true that has been done. So >> true that has been done. So >> true that has been done. So >> like why >> like why >> like why >> they put the most expensive product at >> they put the most expensive product at >> they put the most expensive product at the level of UI not at the bottom.

the level of UI not at the bottom. the level of UI not at the bottom. >> That's called a plan. >> That's called a plan. >> That's called a plan. >> Come on. This is noting. >> Come on. This is noting. >> Come on. This is noting. >> Who wants to bend over for the boxed >> Who wants to bend over for the boxed >> Who wants to bend over for the boxed wine? wine? wine? >> Nobody. >> Nobody. >> Nobody. >> Nobody. >> Nobody. >> Nobody. >> I got to pick it up right here. >> I got to pick it up right here. >> I got to pick it up right here. Expensive. Expensive. Expensive. >> No, it's on tap. Dude, what are you >> No, it's on tap. Dude, what are you >> No, it's on tap. Dude, what are you talking about? talking about? talking about? >> So, it is not about informing the >> So, it is not about informing the >> So, it is not about informing the customer about the choices that he has customer about the choices that he has customer about the choices that he has based on parameter. It's about force based on parameter. It's about force based on parameter. It's about force influencing forcing in some cases the influencing forcing in some cases the influencing forcing in some cases the customer to buy some crap. customer to buy some crap. customer to buy some crap. >> Yeah. But that's been marketing since >> Yeah. But that's been marketing since >> Yeah. But that's been marketing since like the days of like the days of like the days of >> and advertising. Advertising is the >> and advertising. Advertising is the >> and advertising. Advertising is the biggest hammer of all. biggest hammer of all. biggest hammer of all. >> Well, but then there's also truth in >> Well, but then there's also truth in >> Well, but then there's also truth in advertising that you're obligated to advertising that you're obligated to advertising that you're obligated to with the, you know, FTC. with the, you know, FTC. with the, you know, FTC. So, you know, there are So, you know, there are So, you know, there are >> Hold on cuz then then we get into >> Hold on cuz then then we get into >> Hold on cuz then then we get into enforcement, right? enforcement, right? enforcement, right? the advertising in advertising in France the advertising in advertising in France the advertising in advertising in France on that from a regulatory perspective on that from a regulatory perspective on that from a regulatory perspective very different very different very different >> than advertising in America. >> than advertising in America. >> than advertising in America. >> I bet in France you're not seeing TV ads >> I bet in France you're not seeing TV ads >> I bet in France you're not seeing TV ads for things like Skyrizzy or whatever.

for things like Skyrizzy or whatever. for things like Skyrizzy or whatever. >> Problem is enforcement enforcement is >> Problem is enforcement enforcement is >> Problem is enforcement enforcement is the last line of defense and it's never the last line of defense and it's never the last line of defense and it's never effective. If you don't fix the root effective. If you don't fix the root effective. If you don't fix the root cause, you you never get it. cause, you you never get it. cause, you you never get it. >> Enforcement also costs a crap ton of >> Enforcement also costs a crap ton of >> Enforcement also costs a crap ton of money. Enforcement doesn't have the money. Enforcement doesn't have the money. Enforcement doesn't have the enforcement doesn't have the scale and enforcement doesn't have the scale and enforcement doesn't have the scale and the investment to compete with the the investment to compete with the the investment to compete with the source. That's as simple as that. How I source. That's as simple as that. How I source. That's as simple as that. How I mean give me give me one example. This mean give me give me one example. This mean give me give me one example. This is sort of what I'm asking you today. is sort of what I'm asking you today. is sort of what I'm asking you today. Give me one example of a of a Give me one example of a of a Give me one example of a of a advertising uh failure enforcement advertising uh failure enforcement advertising uh failure enforcement company traded on the New York Stock company traded on the New York Stock company traded on the New York Stock Exchange. Exchange. Exchange. Give me one. Give me one. Give me one. >> No, we we leave it for the public >> No, we we leave it for the public >> No, we we leave it for the public because we we socialize the losses and because we we socialize the losses and because we we socialize the losses and privatize them. That that's why you have privatize them. That that's why you have privatize them. That that's why you have government. The role of government is to government. The role of government is to government. The role of government is to protect. protect. protect. >> Yeah. >> Yeah. >> Yeah. >> And I think we a lot of folks have >> And I think we a lot of folks have >> And I think we a lot of folks have >> lost sight of what the role of >> lost sight of what the role of >> lost sight of what the role of government government government >> think. It's a corporation. >> think. It's a corporation. >> think. It's a corporation. >> Corporate >> Corporate >> Corporate corporate innovations and drivers, corporate innovations and drivers, corporate innovations and drivers, you know, uh result in good government.

you know, uh result in good government. you know, uh result in good government. No, it's actually quite the opposite. No, it's actually quite the opposite. No, it's actually quite the opposite. All you have to do is look at how you do All you have to do is look at how you do All you have to do is look at how you do accounting for governments and public, accounting for governments and public, accounting for governments and public, you know, public entities. It's very you know, public entities. It's very you know, public entities. It's very different. It looks nothing like a, you different. It looks nothing like a, you different. It looks nothing like a, you know, a uh a business. know, a uh a business. know, a uh a business. >> Leonard is so fed up. He's going to join >> Leonard is so fed up. He's going to join >> Leonard is so fed up. He's going to join Elon's new political party. Elon's new political party. Elon's new political party. >> I will. >> I will. >> I will. >> Yeah. >> Yeah. >> Yeah. >> Gave it a name. Um, >> Gave it a name. Um, >> Gave it a name. Um, >> he's got me, man. >> he's got me, man. >> he's got me, man. >> The America Party. >> The America Party. >> The America Party. >> I know. >> I know. >> I know. >> Which he's got to compete with Andrew >> Which he's got to compete with Andrew >> Which he's got to compete with Andrew Yang's new party that he had created Yang's new party that he had created Yang's new party that he had created several years ago. I think I forgot what several years ago. I think I forgot what several years ago. I think I forgot what it's called, but anyway, forward or it's called, but anyway, forward or it's called, but anyway, forward or something. Yeah, something. Yeah, something. Yeah, >> the I'm not going to judge whatever Elon >> the I'm not going to judge whatever Elon >> the I'm not going to judge whatever Elon is trying to do. I don't know actually, is trying to do. I don't know actually, is trying to do. I don't know actually, but the idea of a more parties is not but the idea of a more parties is not but the idea of a more parties is not bad at all. The two party system was a bad at all. The two party system was a bad at all. The two party system was a very bad idea. And I've been told by my very bad idea. And I've been told by my very bad idea. And I've been told by my daughter who studied American history a daughter who studied American history a daughter who studied American history a little bit. That that was actually not little bit. That that was actually not little bit. That that was actually not what George Washington liked. He didn't what George Washington liked. He didn't what George Washington liked. He didn't like the idea of like the idea of like the idea of >> That's right. >> That's right. >> That's right. >> This two party thing is a very very >> This two party thing is a very very >> This two party thing is a very very >> No, no, it was a big no no from the >> No, no, it was a big no no from the >> No, no, it was a big no no from the beginning. And we used to have like how beginning. And we used to have like how beginning. And we used to have like how many parties did we start off with?

many parties did we start off with? many parties did we start off with? >> I don't know. >> I don't know. >> I don't know. >> More than five. So, and then it turned >> More than five. So, and then it turned >> More than five. So, and then it turned into into into >> Personally, I like parties. I like >> Personally, I like parties. I like >> Personally, I like parties. I like barbecue parties. I like wedding barbecue parties. I like wedding barbecue parties. I like wedding parties. I got birthday parties. parties. I got birthday parties. parties. I got birthday parties. >> Yeah. >> Yeah. >> Yeah. >> Newborn parties. I I love the more >> Newborn parties. I I love the more >> Newborn parties. I I love the more parties the better people. You get the parties the better people. You get the parties the better people. You get the >> except when they become political, >> except when they become political, >> except when they become political, >> right? >> right? >> right? >> Yeah. So, yeah. Lesson learned uh here >> Yeah. So, yeah. Lesson learned uh here >> Yeah. So, yeah. Lesson learned uh here is is is >> be careful of >> be careful of >> be careful of >> so I have a question >> so I have a question >> so I have a question >> since I'm designing everyone's future >> since I'm designing everyone's future >> since I'm designing everyone's future uh this new framework that do you want uh this new framework that do you want uh this new framework that do you want it to be kind of like the movie the it to be kind of like the movie the it to be kind of like the movie the matrix like the what represented the matrix like the what represented the matrix like the what represented the height of western civilization in 1999 height of western civilization in 1999 height of western civilization in 1999 or would you like it to be like Logan's or would you like it to be like Logan's or would you like it to be like Logan's Run maybe would you like it to be like Run maybe would you like it to be like Run maybe would you like it to be like that do you want that future that do you want that future that do you want that future >> the 70s were more fun for I mean I mean >> the 70s were more fun for I mean I mean >> the 70s were more fun for I mean I mean >> 70s were more fun. >> 70s were more fun. >> 70s were more fun. >> Yeah. Just at the beginning of sexual >> Yeah. Just at the beginning of sexual >> Yeah. Just at the beginning of sexual revolution was much more fun. revolution was much more fun. revolution was much more fun. >> Okay. Everybody's driving Camaros and >> Okay. Everybody's driving Camaros and >> Okay. Everybody's driving Camaros and Trans Ams. Trans Ams. Trans Ams. >> After that it was also >> After that it was also >> After that it was also >> okay.

>> okay. >> okay. >> If it was up to my son it would be Star >> If it was up to my son it would be Star >> If it was up to my son it would be Star Wars. It would be a Star Wars universe. Wars. It would be a Star Wars universe. Wars. It would be a Star Wars universe. I mean I mean I mean >> you know maybe if you be the architect >> you know maybe if you be the architect >> you know maybe if you be the architect go I mean just go I mean just go I mean just >> maybe that's what maybe that's what >> maybe that's what maybe that's what >> maybe that's what maybe that's what people really want because you're right people really want because you're right people really want because you're right with that first matrix that I created with that first matrix that I created with that first matrix that I created that everyone rejected the program that everyone rejected the program that everyone rejected the program because it was too perfect. People love because it was too perfect. People love because it was too perfect. People love pain and suffering and we're violent pain and suffering and we're violent pain and suffering and we're violent creatures by nature. And so maybe if we creatures by nature. And so maybe if we creatures by nature. And so maybe if we do create a a matrix that's like Star do create a a matrix that's like Star do create a a matrix that's like Star Wars where you're in an epic battle Wars where you're in an epic battle Wars where you're in an epic battle >> for your whole life. >> for your whole life. >> for your whole life. >> Yeah, that that's exactly what I said >> Yeah, that that's exactly what I said >> Yeah, that that's exactly what I said earlier. If you remember, I said that earlier. If you remember, I said that earlier. If you remember, I said that you know this in the matrix this you know this in the matrix this you know this in the matrix this intelligence force intelligence force intelligence force form designed a world that was perfect form designed a world that was perfect form designed a world that was perfect didn't work for humanm doesn't work. We didn't work for humanm doesn't work. We didn't work for humanm doesn't work. We wouldn't believe it. Wait, Leonard, I wouldn't believe it. Wait, Leonard, I wouldn't believe it. Wait, Leonard, I don't want to point at your son. I don't don't want to point at your son. I don't don't want to point at your son. I don't want to hurt you, but uh Star Wars, come want to hurt you, but uh Star Wars, come want to hurt you, but uh Star Wars, come on. A world where silence is violated by on. A world where silence is violated by on. A world where silence is violated by the first sound in space. the first sound in space. the first sound in space. >> Yeah.

>> Yeah. >> Yeah. >> Welcome to the world of AI and hallucin. >> It's the world of Hollywood. I went to >> It's the world of Hollywood. I went to see a movie recently. It's a piece of see a movie recently. It's a piece of see a movie recently. It's a piece of crap if you're a Formula 1 fan. It's crap if you're a Formula 1 fan. It's crap if you're a Formula 1 fan. It's >> Oh, it was a fun movie. Yeah, I love >> Oh, it was a fun movie. Yeah, I love >> Oh, it was a fun movie. Yeah, I love that movie. You're that movie. You're that movie. You're >> It's a piece of crap. >> It's a piece of crap. >> It's a piece of crap. >> It's not a piece of It's a good movie. >> It's not a piece of It's a good movie. >> It's not a piece of It's a good movie. It's fun. It was entertaining. It's fun. It was entertaining. It's fun. It was entertaining. >> It's a misrepresentation of Formula 1. >> It's a misrepresentation of Formula 1. >> It's a misrepresentation of Formula 1. The message is that if you crash, if you The message is that if you crash, if you The message is that if you crash, if you cheat, you win. cheat, you win. cheat, you win. >> He was like, he was like right on the >> He was like, he was like right on the >> He was like, he was like right on the line of cheating is what he did. line of cheating is what he did. line of cheating is what he did. >> Yeah. Yeah. You know >> Yeah. Yeah. You know >> Yeah. Yeah. You know >> and in the beginning and talking about >> and in the beginning and talking about >> and in the beginning and talking about you know inaccuracy in the beginning you know inaccuracy in the beginning you know inaccuracy in the beginning >> alert >> alert >> alert >> when there is a scene where he does the >> when there is a scene where he does the >> when there is a scene where he does the testing you see the sector times 30 testing you see the sector times 30 testing you see the sector times 30 second 25 seconds 15 seconds this is not second 25 seconds 15 seconds this is not second 25 seconds 15 seconds this is not the way it works in formula 1 sector is the way it works in formula 1 sector is the way it works in formula 1 sector is 30 second sector is cumulative so you 30 second sector is cumulative so you 30 second sector is cumulative so you see 30 to 55 and third sector is see 30 to 55 and third sector is see 30 to 55 and third sector is cumulative so don't start a movie about cumulative so don't start a movie about cumulative so don't start a movie about the sport I've been following for 4 the sport I've been following for 4 the sport I've been following for 4 years with a stupid thing like years with a stupid thing like years with a stupid thing like >> yeah but hey you know what um I'm sure >> yeah but hey you know what um I'm sure >> yeah but hey you know what um I'm sure that they consulted with F1 experts that they consulted with F1 experts that they consulted with F1 experts That's the creepy.

That's the creepy. That's the creepy. >> I know they did. >> I know they did. >> I know they did. >> And actually some of them like Versappen >> And actually some of them like Versappen >> And actually some of them like Versappen which I hate because he's an [ __ ] which I hate because he's an [ __ ] which I hate because he's an [ __ ] actually distance himself from this actually distance himself from this actually distance himself from this movie. So I respect him for that because movie. So I respect him for that because movie. So I respect him for that because I think he look at the movie and he said I think he look at the movie and he said I think he look at the movie and he said like me, what a piece of crap for the like me, what a piece of crap for the like me, what a piece of crap for the sports I love and he went away. sports I love and he went away. sports I love and he went away. >> But what about Hamilton? >> But what about Hamilton? >> But what about Hamilton? >> Yeah, I was disappointed. >> Yeah, I was disappointed. >> Yeah, I was disappointed. >> He was all in. >> He was all in. >> He was all in. >> Yeah, you know, I was disappointed. >> Yeah, you know, I was disappointed. >> Yeah, you know, I was disappointed. >> You know what? I think I think it's a >> You know what? I think I think it's a >> You know what? I think I think it's a form of advertising for F1 because I form of advertising for F1 because I form of advertising for F1 because I think the movie is such a is such a hit think the movie is such a is such a hit think the movie is such a is such a hit that it's going to bring new fans to that it's going to bring new fans to that it's going to bring new fans to Formula 1 that weren't Formula 1 that weren't Formula 1 that weren't >> f you think you it's not a think Rob it >> f you think you it's not a think Rob it >> f you think you it's not a think Rob it was designed to do that was designed to do that was designed to do that >> whole thing is an advertisement. >> whole thing is an advertisement. >> whole thing is an advertisement. >> Yeah. First >> Yeah. First >> Yeah. First >> false advertising. But guys, guys, >> false advertising. But guys, guys, >> false advertising. But guys, guys, media bought Formula 1 for a fortune for media bought Formula 1 for a fortune for media bought Formula 1 for a fortune for Bernie Eker Stone about 10 years ago Bernie Eker Stone about 10 years ago Bernie Eker Stone about 10 years ago with the sole objective to make it a big with the sole objective to make it a big with the sole objective to make it a big money machine. And this is why the sport money machine. And this is why the sport money machine. And this is why the sport is so dramatized nowadays becoming a is so dramatized nowadays becoming a is so dramatized nowadays becoming a reality show. It's less and less about reality show. It's less and less about reality show. It's less and less about driving. Most of people don't understand driving. Most of people don't understand driving. Most of people don't understand that Formula 1 is not just about the that Formula 1 is not just about the that Formula 1 is not just about the driver, but it's the driver plus the car driver, but it's the driver plus the car driver, but it's the driver plus the car plus the team. They all rule for plus the team. They all rule for plus the team. They all rule for drivers. So, yeah, it's a money-making drivers. So, yeah, it's a money-making drivers. So, yeah, it's a money-making machine. Now, phase one was Netflix with machine. Now, phase one was Netflix with machine. Now, phase one was Netflix with Drive to Survive. Phase two is F1 the Drive to Survive. Phase two is F1 the Drive to Survive. Phase two is F1 the movie.

movie. movie. >> There you go. It will be bigger than >> There you go. It will be bigger than >> There you go. It will be bigger than baseball and Liberty Media will make a baseball and Liberty Media will make a baseball and Liberty Media will make a fortune and the sport will be totally fortune and the sport will be totally fortune and the sport will be totally uninteresting like to some extent uninteresting like to some extent uninteresting like to some extent baseball. But baseball. But baseball. But >> I just think this is the this is the >> I just think this is the this is the >> I just think this is the this is the first time in the history of the podcast first time in the history of the podcast first time in the history of the podcast that we make it non-familyfriendly by that we make it non-familyfriendly by that we make it non-familyfriendly by offending a Dutch person using a bad offending a Dutch person using a bad offending a Dutch person using a bad word in English at the same word in English at the same word in English at the same >> I'm too sorry. >> I'm too sorry. >> I'm too sorry. >> This is what a time to be alive. >> This is what a time to be alive. >> This is what a time to be alive. >> Yeah, I'm sorry about and by the way I >> Yeah, I'm sorry about and by the way I >> Yeah, I'm sorry about and by the way I don't don't use Dutch. I mean, it's that don't don't use Dutch. I mean, it's that don't don't use Dutch. I mean, it's that specific individual. I Dutch or specific individual. I Dutch or specific individual. I Dutch or whatever. whatever. whatever. >> No, no, it's Hey, it's cool, man. I I'm >> No, no, it's Hey, it's cool, man. I I'm >> No, no, it's Hey, it's cool, man. I I'm not um u I'm not defend I don't know. I not um u I'm not defend I don't know. I not um u I'm not defend I don't know. I I think it's a great sport, but you I think it's a great sport, but you I think it's a great sport, but you know, I'm a big fan of uh you know, uh know, I'm a big fan of uh you know, uh know, I'm a big fan of uh you know, uh Schemacker, who we're not going to see Schemacker, who we're not going to see Schemacker, who we're not going to see too much of them um officially and too much of them um officially and too much of them um officially and pro and and that was uh that was pro and and that was uh that was pro and and that was uh that was awesome. Good times. awesome. Good times. awesome. Good times. >> Yeah. So, um I think it's time for you >> Yeah. So, um I think it's time for you >> Yeah. So, um I think it's time for you to do your job. to do your job. to do your job. >> All right. Right. >> All right. Right. >> All right. Right. >> And I got a blaze by even Okay. Oh, >> And I got a blaze by even Okay. Oh, >> And I got a blaze by even Okay. Oh, don't go yet. Just wait until this is don't go yet. Just wait until this is don't go yet. Just wait until this is done. done. done. >> No, he's he said he's he's got a blaze.

>> No, he's he said he's he's got a blaze. >> No, he's he said he's he's got a blaze. >> Okay. >> Okay. >> Okay. >> Anyway, so let's make this quick. Uh, so >> Anyway, so let's make this quick. Uh, so >> Anyway, so let's make this quick. Uh, so you are here at the end of another you are here at the end of another you are here at the end of another episode of IoT Coffee Talk. This was eat episode of IoT Coffee Talk. This was eat episode of IoT Coffee Talk. This was eat it. We talked about IoT and advertising. it. We talked about IoT and advertising. it. We talked about IoT and advertising. We talked about M&A. We talked about AI We talked about M&A. We talked about AI We talked about M&A. We talked about AI and what the architect is going to do so and what the architect is going to do so and what the architect is going to do so that we have a democratized word world. that we have a democratized word world. that we have a democratized word world. And uh, yeah, you made it. So you are And uh, yeah, you made it. So you are And uh, yeah, you made it. So you are smarter, you're better for this. So smarter, you're better for this. So smarter, you're better for this. So couple of reminders. All of the money couple of reminders. All of the money couple of reminders. All of the money that we make, the millions that flow that we make, the millions that flow that we make, the millions that flow here every single day from your views, here every single day from your views, here every single day from your views, it goes to a charity and it is called it goes to a charity and it is called it goes to a charity and it is called elevate our kids.org elevate our kids.org elevate our kids.org where we grab this money, all this where we grab this money, all this where we grab this money, all this dough. And we buy laptops for dough. And we buy laptops for dough. And we buy laptops for underserved kids. And we have a little underserved kids. And we have a little underserved kids. And we have a little side quest now with the uh storms that side quest now with the uh storms that side quest now with the uh storms that have been affecting the great state of have been affecting the great state of have been affecting the great state of Texas. We're funneling some of that Texas. We're funneling some of that Texas. We're funneling some of that money, too. So if you feel up for it, money, too. So if you feel up for it, money, too. So if you feel up for it, please donate. Other than that, do not please donate. Other than that, do not please donate. Other than that, do not make any financial decisions which will make any financial decisions which will make any financial decisions which will negatively affect you for the rest of negatively affect you for the rest of negatively affect you for the rest of your life based on anything you hear in your life based on anything you hear in your life based on anything you hear in this show. So with that, we will see you this show. So with that, we will see you this show. So with that, we will see you next week. And from all four of us and next week. And from all four of us and next week. And from all four of us and for others that didn't show up, we wish for others that didn't show up, we wish for others that didn't show up, we wish you a great week and we'll see you next you a great week and we'll see you next you a great week and we'll see you next week on IoT Coffee Talk. Peace out.