IoT Coffee Talk: Episode 271 - "The Matrix Beta (Human Test Batteries Wanted!)"

[Music] [Music] There you Oh, crazy shred master. There you Oh, crazy shred master. There you Oh, crazy shred master. >> The shred master. >> The shred master. >> The shred master. >> Very nicely done, Leonard. >> Very nicely done, Leonard. >> Very nicely done, Leonard. >> Nice. >> Nice. >> Nice. >> Welcome everyone to IoT Coffee Talk. And >> Welcome everyone to IoT Coffee Talk. And >> Welcome everyone to IoT Coffee Talk. And that was bad karaoke for the week. And that was bad karaoke for the week. And that was bad karaoke for the week. And it's in tribute it's in tribute it's in tribute of the passing of the great of the passing of the great of the passing of the great Oz, the wizard of Oz, Mr. Crowley Oz, the wizard of Oz, Mr. Crowley Oz, the wizard of Oz, Mr. Crowley himself, himself, himself, Azie Osborne. Azie Osborne. Azie Osborne. Oh, you're going to play War Pigs. Oh, you're going to play War Pigs. Oh, you're going to play War Pigs. >> No. >> No. >> No. >> Everyone knows knows him for a crazy >> Everyone knows knows him for a crazy >> Everyone knows knows him for a crazy train because he was a crazy guy train because he was a crazy guy train because he was a crazy guy >> riding and running a crazy train all >> riding and running a crazy train all >> riding and running a crazy train all through his life. And through his life. And through his life. And God bless him or, you know, I don't know God bless him or, you know, I don't know God bless him or, you know, I don't know whether or not he'd rather have the whether or not he'd rather have the whether or not he'd rather have the devil bless him, but whatever deity devil bless him, but whatever deity devil bless him, but whatever deity bless him. He made it to 76. bless him. He made it to 76. bless him. He made it to 76. >> Legend. He was a legend. >> Legend. He was a legend. >> Legend. He was a legend. >> Yeah. And he was generally a good guy, >> Yeah. And he was generally a good guy, >> Yeah. And he was generally a good guy, right? I mean, right? I mean, right? I mean, >> yeah. No, he was he was a good guy.

>> yeah. No, he was he was a good guy. >> yeah. No, he was he was a good guy. >> Admittedly, I think, you know, everyone >> Admittedly, I think, you know, everyone >> Admittedly, I think, you know, everyone knows that, you know, he led a pretty knows that, you know, he led a pretty knows that, you know, he led a pretty wild life, but wild life, but wild life, but >> also Chuck Manion passed away too, by >> also Chuck Manion passed away too, by >> also Chuck Manion passed away too, by the way, on the same day. So, the way, on the same day. So, the way, on the same day. So, >> the trumpet player. Yeah. So, >> the trumpet player. Yeah. So, >> the trumpet player. Yeah. So, >> not as >> not as >> not as >> not as well known. Yeah. But that's, you >> not as well known. Yeah. But that's, you >> not as well known. Yeah. But that's, you know, well, you know, I I I think a lot know, well, you know, I I I think a lot know, well, you know, I I I think a lot of people died on that day. It's just we of people died on that day. It's just we of people died on that day. It's just we don't know who they are. That's true. don't know who they are. That's true. don't know who they are. That's true. Yeah. Yeah. Yeah. >> Yeah. Rest in peace to everyone who died >> Yeah. Rest in peace to everyone who died >> Yeah. Rest in peace to everyone who died when Aussie Osborne died. So, you know, when Aussie Osborne died. So, you know, when Aussie Osborne died. So, you know, at least, you know, it's like sharing a at least, you know, it's like sharing a at least, you know, it's like sharing a birthday, I guess. birthday, I guess. birthday, I guess. >> Rest in peace, Aussie Osborne. Um and so >> Rest in peace, Aussie Osborne. Um and so >> Rest in peace, Aussie Osborne. Um and so yes, remember to like, share and promote yes, remember to like, share and promote yes, remember to like, share and promote because this is where because this is where because this is where we try to we try to we try to harvest harvest harvest or uh cultivate and harvest or uh cultivate and harvest or uh cultivate and harvest the uncomfortable truths about the uncomfortable truths about the uncomfortable truths about technology and IoT so that you can walk technology and IoT so that you can walk technology and IoT so that you can walk a straighter path, you know, to value.

a straighter path, you know, to value. a straighter path, you know, to value. That's what we're all about at IoT That's what we're all about at IoT That's what we're all about at IoT Coffee Talk. Whether we're talking about Coffee Talk. Whether we're talking about Coffee Talk. Whether we're talking about IoT or we're talking about coffee or IoT or we're talking about coffee or IoT or we're talking about coffee or we're talking about edge AI which you we're talking about edge AI which you we're talking about edge AI which you need to give us an update on need to give us an update on need to give us an update on >> straight path to value >> straight path to value >> straight path to value >> hacking cyber security no what is it se >> hacking cyber security no what is it se >> hacking cyber security no what is it se beer security beer security beer security or cyber security or cyber security or cyber security >> she's got yeah Dimmitri your South Park >> she's got yeah Dimmitri your South Park >> she's got yeah Dimmitri your South Park background is very precient because you background is very precient because you background is very precient because you know I don't know if everyone watched know I don't know if everyone watched know I don't know if everyone watched the first the season premiere of South the first the season premiere of South the first the season premiere of South park from yesterday, but it is quite park from yesterday, but it is quite park from yesterday, but it is quite controversial. So, I would encourage controversial. So, I would encourage controversial. So, I would encourage people to go take a look at it. But people to go take a look at it. But people to go take a look at it. But >> I didn't I didn't watch that. I actually >> I didn't I didn't watch that. I actually >> I didn't I didn't watch that. I actually didn't know there was a new season of didn't know there was a new season of didn't know there was a new season of South. South. South. >> It just started and it's quite it pushes >> It just started and it's quite it pushes >> It just started and it's quite it pushes the envelope of uh of First Amendment the envelope of uh of First Amendment the envelope of uh of First Amendment free speech, let me put it that way, in free speech, let me put it that way, in free speech, let me put it that way, in our current political environment. So, our current political environment. So, our current political environment. So, I'll just I'll just leave it at that. I'll just I'll just leave it at that. I'll just I'll just leave it at that. You guys You guys You guys >> leave it at that. >> leave it at that. >> leave it at that. >> Please, >> Please, >> Please, >> there's no there's no pushing the >> there's no there's no pushing the >> there's no there's no pushing the boundaries of free speech. It's free boundaries of free speech. It's free boundaries of free speech. It's free speech. speech. speech. >> There you go. It's as as soon as we >> There you go. It's as as soon as we >> There you go. It's as as soon as we start questioning that, we're in start questioning that, we're in start questioning that, we're in trouble.

trouble. trouble. >> Yes, that's right. No, if you infer that >> Yes, that's right. No, if you infer that >> Yes, that's right. No, if you infer that there's a boundary that that's the there's a boundary that that's the there's a boundary that that's the problem, right? problem, right? problem, right? >> Yeah. >> Yeah. >> Yeah. >> So, yeah. So, remember, keep it. >> So, yeah. So, remember, keep it. >> So, yeah. So, remember, keep it. >> By the way, this this background was AI >> By the way, this this background was AI >> By the way, this this background was AI generated. And the reason I keep it is generated. And the reason I keep it is generated. And the reason I keep it is because I could. You can't anymore. Now, because I could. You can't anymore. Now, because I could. You can't anymore. Now, none of the model will allow you to do none of the model will allow you to do none of the model will allow you to do that anymore. They're all blocked for that anymore. They're all blocked for that anymore. They're all blocked for copyright infringement thing. copyright infringement thing. copyright infringement thing. >> Oh, really? >> Oh, really? >> Oh, really? >> Yeah. Oh, yeah. You can't. >> Yeah. Oh, yeah. You can't. >> Yeah. Oh, yeah. You can't. >> Well, that's actually okay by me. I >> Well, that's actually okay by me. I >> Well, that's actually okay by me. I think creating copyright similarly think creating copyright similarly think creating copyright similarly copyrighted works is like not kind of copyrighted works is like not kind of copyrighted works is like not kind of not cool. not cool. not cool. >> Yeah. >> Yeah. >> Yeah. I mean I would be I would be extremely I mean I would be I would be extremely I mean I would be I would be extremely happy if you know there was a a a happy if you know there was a a a happy if you know there was a a a mandatory watermark saying you know mandatory watermark saying you know mandatory watermark saying you know inspired by copyright material and inspired by copyright material and inspired by copyright material and reference material but blocking it is reference material but blocking it is reference material but blocking it is you know you know you know >> well I mean so this is the opportunity >> well I mean so this is the opportunity >> well I mean so this is the opportunity for someone creating copyrighted works for someone creating copyrighted works for someone creating copyrighted works to license their to license their to license their >> exactly >> exactly >> exactly >> data to be trained and used in the >> data to be trained and used in the >> data to be trained and used in the model. So the South Park folks could do model. So the South Park folks could do model. So the South Park folks could do a deal with Open AI and say, "Yeah, you a deal with Open AI and say, "Yeah, you a deal with Open AI and say, "Yeah, you could you could create, you know, South could you could create, you know, South could you could create, you know, South Parky type stuff as long as you Parky type stuff as long as you Parky type stuff as long as you >> Yeah, they should play pay a license, >> Yeah, they should play pay a license, >> Yeah, they should play pay a license, right?" And right?" And right?" And >> yeah, pay a license for them to track >> yeah, pay a license for them to track >> yeah, pay a license for them to track it. There's ways for them to track it it. There's ways for them to track it it. There's ways for them to track it and and and >> Exactly.

>> Exactly. >> Exactly. >> Um >> Um >> Um >> or even make it royaltyree. I mean, >> or even make it royaltyree. I mean, >> or even make it royaltyree. I mean, there are some music bands that have there are some music bands that have there are some music bands that have done that. done that. done that. [Music] [Music] [Music] Ship is one. Their music is free of all Ship is one. Their music is free of all Ship is one. Their music is free of all rights. You can use it in any internet rights. You can use it in any internet rights. You can use it in any internet content thing if you want. content thing if you want. content thing if you want. >> There you go. >> There you go. >> There you go. >> Yeah. So, um, remember everyone, take us >> Yeah. So, um, remember everyone, take us >> Yeah. So, um, remember everyone, take us seriously at your own peril. I think seriously at your own peril. I think seriously at your own peril. I think that's the new way we're going to put that's the new way we're going to put that's the new way we're going to put it, Pete. And that was inspired by one it, Pete. And that was inspired by one it, Pete. And that was inspired by one of your variations of your variations of your variations >> on that tagline. And, uh, remember, >> on that tagline. And, uh, remember, >> on that tagline. And, uh, remember, we're here just having fun. So, if Rob we're here just having fun. So, if Rob we're here just having fun. So, if Rob talks about where you should invest in talks about where you should invest in talks about where you should invest in your next um, uh, you know, stock your next um, uh, you know, stock your next um, uh, you know, stock venture, uh, ignore it. or if you do venture, uh, ignore it. or if you do venture, uh, ignore it. or if you do take that you're you're responsible for take that you're you're responsible for take that you're you're responsible for that mistake. So that mistake. So that mistake. So here here's a good one. You should take here here's a good one. You should take here here's a good one. You should take us as seriously or take us as seriously us as seriously or take us as seriously us as seriously or take us as seriously as you should take your AI assistant. as you should take your AI assistant. as you should take your AI assistant. >> Yes. Um generative AI is experimental, >> Yes. Um generative AI is experimental, >> Yes. Um generative AI is experimental, right? Remember that. And Google should right? Remember that. And Google should right? Remember that. And Google should remember that and put that back on. Um, remember that and put that back on. Um, remember that and put that back on. Um, >> no, I don't know if I want them to take >> no, I don't know if I want them to take >> no, I don't know if I want them to take us take us as seriously as their AI us take us as seriously as their AI us take us as seriously as their AI assistant because some of them people assistant because some of them people assistant because some of them people take that crap seriously.

take that crap seriously. take that crap seriously. >> That's true. >> That's true. >> That's true. >> But this is why I very I very carefully >> But this is why I very I very carefully >> But this is why I very I very carefully phrased it as you should. phrased it as you should. phrased it as you should. >> Okay. >> Okay. >> Okay. >> I phrased it very carefully, Neil, >> I phrased it very carefully, Neil, >> I phrased it very carefully, Neil, because I knew you would say something. because I knew you would say something. because I knew you would say something. >> I'll give I don't want to do a spoiler >> I'll give I don't want to do a spoiler >> I'll give I don't want to do a spoiler on the South Park. There was a funny on the South Park. There was a funny on the South Park. There was a funny scene in it where this guy is talking to scene in it where this guy is talking to scene in it where this guy is talking to his phone and he's asking it questions his phone and he's asking it questions his phone and he's asking it questions about this thing and she's responding about this thing and she's responding about this thing and she's responding and being very encouraging to him and and being very encouraging to him and and being very encouraging to him and he's like, "Oh, it's great to have he's like, "Oh, it's great to have he's like, "Oh, it's great to have someone to talk to." And then they and someone to talk to." And then they and someone to talk to." And then they and then he says good night and they pan out then he says good night and they pan out then he says good night and they pan out and his wife is sitting next to him in and his wife is sitting next to him in and his wife is sitting next to him in the bed kind of with her arms folded the bed kind of with her arms folded the bed kind of with her arms folded like this. He's spending the time like this. He's spending the time like this. He's spending the time talking to his this woman, this AI woman talking to his this woman, this AI woman talking to his this woman, this AI woman on the phone and like thanking her for on the phone and like thanking her for on the phone and like thanking her for all this stuff. And then he goes to all this stuff. And then he goes to all this stuff. And then he goes to sleep and his wife is just sitting there sleep and his wife is just sitting there sleep and his wife is just sitting there silent. silent. silent. and the road's coming. and the road's coming. and the road's coming. >> You know what? It's we're just going to >> You know what? It's we're just going to >> You know what? It's we're just going to see more and more of it. And then with see more and more of it. And then with see more and more of it. And then with AI and robotics, AI and robotics, AI and robotics, you know, um it's it's going to be you know, um it's it's going to be you know, um it's it's going to be it's going to be weird.

it's going to be weird. it's going to be weird. >> Mainstream culture. It's mainstream >> Mainstream culture. It's mainstream >> Mainstream culture. It's mainstream culture now. culture now. culture now. >> Yeah. You can call that. >> Yeah. You can call that. >> Yeah. You can call that. >> By the way, I wanted to mention >> By the way, I wanted to mention >> By the way, I wanted to mention something on the show because uh I went something on the show because uh I went something on the show because uh I went to um last weekend I went to Open Sauce. to um last weekend I went to Open Sauce. to um last weekend I went to Open Sauce. I don't know. I don't know. I don't know. >> Open Sauce. Yeah. Yeah. >> Open Sauce. Yeah. Yeah. >> Open Sauce. Yeah. Yeah. >> And uh I was actually stunned of the the >> And uh I was actually stunned of the the >> And uh I was actually stunned of the the attendance. It's super young. There's I attendance. It's super young. There's I attendance. It's super young. There's I mean a lot of young people who are mean a lot of young people who are mean a lot of young people who are interested into this maker creator interested into this maker creator interested into this maker creator innovation. That was that was absolutely innovation. That was that was absolutely innovation. That was that was absolutely super refreshing because you know the super refreshing because you know the super refreshing because you know the Bay Area we we talk to those you know Bay Area we we talk to those you know Bay Area we we talk to those you know cowboys and open AI and all those old cowboys and open AI and all those old cowboys and open AI and all those old gray gray guy was you know doing gray gray guy was you know doing gray gray guy was you know doing investment and blah bling investment and blah bling investment and blah bling [Music] [Music] [Music] around asking question about a lot of 3D around asking question about a lot of 3D around asking question about a lot of 3D printing robotics you know video games printing robotics you know video games printing robotics you know video games all kind of stuff uh new stuff old stuff all kind of stuff uh new stuff old stuff all kind of stuff uh new stuff old stuff very very refreshing so open source very very refreshing so open source very very refreshing so open source great great great >> did you see the edgeai foundation Cabana >> did you see the edgeai foundation Cabana >> did you see the edgeai foundation Cabana there with there with there with >> Yes, I actually did. I actually did. You >> Yes, I actually did. I actually did. You >> Yes, I actually did. I actually did. You were very close to meastic as well, were very close to meastic as well, were very close to meastic as well, which is a mineral mesh network thing which is a mineral mesh network thing which is a mineral mesh network thing for this catching for this catching for this catching steam. Yeah, that was very uh very very steam. Yeah, that was very uh very very steam. Yeah, that was very uh very very >> open sauce. Open sauce. We're hip. We're >> open sauce. Open sauce. We're hip. We're >> open sauce. Open sauce. We're hip. We're cool.

cool. cool. >> So, I'm doing I'm doing the little >> So, I'm doing I'm doing the little >> So, I'm doing I'm doing the little >> I'm doing the little promo here that >> I'm doing the little promo here that >> I'm doing the little promo here that they didn't send me anything. I paid they didn't send me anything. I paid they didn't send me anything. I paid full price, but highly recommended. Very full price, but highly recommended. Very full price, but highly recommended. Very very refreshing event. very refreshing event. very refreshing event. What's up, Rob? What's up, Rob? What's up, Rob? >> How's it going? >> How's it going? >> How's it going? >> Open sauce. >> Open sauce. >> Open sauce. >> You look like you just woke up. No >> You look like you just woke up. No >> You look like you just woke up. No offense, but offense, but offense, but >> I think we just I think you realized the >> I think we just I think you realized the >> I think we just I think you realized the show was on and you're like show was on and you're like show was on and you're like >> I was like, "Oh crap." >> I was like, "Oh crap." >> I was like, "Oh crap." >> You do not look like You do not look >> You do not look like You do not look >> You do not look like You do not look like a pioneer or you look like a very like a pioneer or you look like a very like a pioneer or you look like a very tired pioneer. tired pioneer. tired pioneer. >> Yes. Yes, that's right. I was actually >> Yes. Yes, that's right. I was actually >> Yes. Yes, that's right. I was actually up early and then I went back to bed. up early and then I went back to bed. up early and then I went back to bed. So, I don't know. Did you have a real So, I don't know. Did you have a real So, I don't know. Did you have a real background or did you background or did you background or did you >> It is real. It's It's part of the >> It is real. It's It's part of the >> It is real. It's It's part of the staging. Really? I thought you staging. Really? I thought you staging. Really? I thought you >> Oh, that's right. For your house. Yeah. >> Oh, that's right. For your house. Yeah. >> Oh, that's right. For your house. Yeah. Okay. Okay. Okay. >> Yeah. >> Yeah. >> Yeah. >> I don't know. >> I don't know. >> I don't know. >> Yeah. That was like not you. >> Yeah. That was like not you. >> Yeah. That was like not you. >> Pretty funky. >> Pretty funky. >> Pretty funky. >> Yeah. Who is >> Yeah. Who is >> Yeah. Who is >> definitely appeals to the the Pacific >> definitely appeals to the the Pacific >> definitely appeals to the the Pacific Northwest home buyer, Northwest home buyer, Northwest home buyer, >> I guess. I don't know. You know, part of >> I guess. I don't know. You know, part of >> I guess. I don't know. You know, part of the house is virtual staging. We have the house is virtual staging. We have the house is virtual staging. We have real staging. You know, I was out real staging. You know, I was out real staging. You know, I was out watering the yard this morning early watering the yard this morning early watering the yard this morning early after reeding parts of it and new land.

after reeding parts of it and new land. after reeding parts of it and new land. >> I was going to say I thought you were >> I was going to say I thought you were >> I was going to say I thought you were going to say water your fake plants that going to say water your fake plants that going to say water your fake plants that you put in for you put in for you put in for >> Yeah. Well, >> Yeah. Well, >> Yeah. Well, I'm not that bright, so I would probably I'm not that bright, so I would probably I'm not that bright, so I would probably be known to water fake plants. You know, be known to water fake plants. You know, be known to water fake plants. You know, that could happen. that could happen. that could happen. >> Absolutely. Wow. Look at So, um, yeah, I >> Absolutely. Wow. Look at So, um, yeah, I >> Absolutely. Wow. Look at So, um, yeah, I I guess it's like hybrid, but you know, I guess it's like hybrid, but you know, I guess it's like hybrid, but you know, those are pretty cool uses of AI, right? those are pretty cool uses of AI, right? those are pretty cool uses of AI, right? To be able to superimpose furniture in a To be able to superimpose furniture in a To be able to superimpose furniture in a space. And uh, but then take things out. space. And uh, but then take things out. space. And uh, but then take things out. I mean, I can imagine like they could I mean, I can imagine like they could I mean, I can imagine like they could take a photo or even a video eventually take a photo or even a video eventually take a photo or even a video eventually and they can do this. Take a video of a and they can do this. Take a video of a and they can do this. Take a video of a space and then just eliminate elements space and then just eliminate elements space and then just eliminate elements in the space that you don't want and in the space that you don't want and in the space that you don't want and then blend that with, you know, the then blend that with, you know, the then blend that with, you know, the super uh imposition of furniture or super uh imposition of furniture or super uh imposition of furniture or whatever other decor. whatever other decor. whatever other decor. >> It's they kind of do that. Um, so you >> It's they kind of do that. Um, so you >> It's they kind of do that. Um, so you know, you can imagine traditionally when know, you can imagine traditionally when know, you can imagine traditionally when you're selling your house, obviously you're selling your house, obviously you're selling your house, obviously people come in and take lots of pictures people come in and take lots of pictures people come in and take lots of pictures of all the rooms and everything and what of all the rooms and everything and what of all the rooms and everything and what that looks like and then it gets posted that looks like and then it gets posted that looks like and then it gets posted online, you know, to Red Fin and Zillow online, you know, to Red Fin and Zillow online, you know, to Red Fin and Zillow and all the other, you know, MLS based and all the other, you know, MLS based and all the other, you know, MLS based things. Um, but they also can go into things. Um, but they also can go into things. Um, but they also can go into completely empty spaces, empty rooms, completely empty spaces, empty rooms, completely empty spaces, empty rooms, empty living rooms, whatever, and they empty living rooms, whatever, and they empty living rooms, whatever, and they use LAR and cameras and a bunch of other use LAR and cameras and a bunch of other use LAR and cameras and a bunch of other stuff. And then yeah, they composition stuff. And then yeah, they composition stuff. And then yeah, they composition furniture, paintings on the wall, all furniture, paintings on the wall, all furniture, paintings on the wall, all kinds of things in an empty room. And so kinds of things in an empty room. And so kinds of things in an empty room. And so the photo online will be this crazy

the photo online will be this crazy the photo online will be this crazy virtually staged and it looks real. Um, virtually staged and it looks real. Um, virtually staged and it looks real. Um, >> say it, >> say it, >> say it, >> Rob. Just say it. IoT. >> Rob. Just say it. IoT. >> Rob. Just say it. IoT. >> IoT. >> IoT. >> IoT. >> Have to thank the IoT gods for allowing >> Have to thank the IoT gods for allowing >> Have to thank the IoT gods for allowing that to happen. Right. You said LAR, that to happen. Right. You said LAR, that to happen. Right. You said LAR, man. man. man. >> Lar. >> Lar. >> Lar. >> Yes. >> Yes. >> Yes. >> Yes. Lar. That's something that Elon >> Yes. Lar. That's something that Elon >> Yes. Lar. That's something that Elon Musk doesn't believe in. Musk doesn't believe in. Musk doesn't believe in. >> That's true. >> That's true. >> That's true. >> Cuz humans don't have LAR. So you don't >> Cuz humans don't have LAR. So you don't >> Cuz humans don't have LAR. So you don't >> It's like we don't need LAR like those >> It's like we don't need LAR like those >> It's like we don't need LAR like those mobile eye people at Intel or whatever. mobile eye people at Intel or whatever. mobile eye people at Intel or whatever. >> I don't I don't think he was entirely >> I don't I don't think he was entirely >> I don't I don't think he was entirely right. But then he started taking away right. But then he started taking away right. But then he started taking away the pulling out the proximity sensors the pulling out the proximity sensors the pulling out the proximity sensors and stuff like that, you know, the short and stuff like that, you know, the short and stuff like that, you know, the short range stuff. And so now my uh my Tesla range stuff. And so now my uh my Tesla range stuff. And so now my uh my Tesla thinks, you know, the newer Teslas think thinks, you know, the newer Teslas think thinks, you know, the newer Teslas think that my garage is a truck. >> Well, you you use the word >> Well, you you use the word >> it shows a truck. >> it shows a truck. >> it shows a truck. >> You use the word think, Leonard. That's >> You use the word think, Leonard. That's >> You use the word think, Leonard. That's the problem. the problem. the problem. >> Well, think >> Well, think >> Well, think is AI thinking or is it just is AI thinking or is it just is AI thinking or is it just >> It doesn't matter.

>> It doesn't matter. >> It doesn't matter. >> I'm almost sick and tired of that >> I'm almost sick and tired of that >> I'm almost sick and tired of that debate. It's like look, the illusion is debate. It's like look, the illusion is debate. It's like look, the illusion is good enough. good enough. good enough. >> Just like when you hear them say that >> Just like when you hear them say that >> Just like when you hear them say that it's reasoning or reasoning models. it's reasoning or reasoning models. it's reasoning or reasoning models. >> Is it really reasoning or is it just >> Is it really reasoning or is it just >> Is it really reasoning or is it just checking its answers like three or four checking its answers like three or four checking its answers like three or four extra times to burn more tokens and then extra times to burn more tokens and then extra times to burn more tokens and then we'll go we'll go we'll go >> experts. Well, perception is reality. So >> experts. Well, perception is reality. So >> experts. Well, perception is reality. So >> that's true. >> that's true. >> that's true. >> Well, I mean, you know, think about it. >> Well, I mean, you know, think about it. >> Well, I mean, you know, think about it. If if we people think about it, uh it I If if we people think about it, uh it I If if we people think about it, uh it I mean, look at the prompt engineering. mean, look at the prompt engineering. mean, look at the prompt engineering. prompt engine. I mean, how do you craft prompt engine. I mean, how do you craft prompt engine. I mean, how do you craft your prompts to get the appropriate your prompts to get the appropriate your prompts to get the appropriate response? response? response? So, don't ask Claude or any of them So, don't ask Claude or any of them So, don't ask Claude or any of them please because you'll confuse the model. please because you'll confuse the model. please because you'll confuse the model. >> Don't confuse the model. And there's >> Don't confuse the model. And there's >> Don't confuse the model. And there's actually there's actually two level into actually there's actually two level into actually there's actually two level into that bill because there's level one that bill because there's level one that bill because there's level one which is when you write the prompt at which is when you write the prompt at which is when you write the prompt at the user which to some extent you can the user which to some extent you can the user which to some extent you can argue that you know you have to think argue that you know you have to think argue that you know you have to think about how you write things so you get about how you write things so you get about how you write things so you get the right answer you know do it properly the right answer you know do it properly the right answer you know do it properly but then you have the layer of the but then you have the layer of the but then you have the layer of the system prompt that is added to your system prompt that is added to your system prompt that is added to your prompt on which you usually have prompt on which you usually have prompt on which you usually have absolutely no visibility and this is absolutely no visibility and this is absolutely no visibility and this is where the manipulation happens and this where the manipulation happens and this where the manipulation happens and this is why I mean when we talk about is why I mean when we talk about is why I mean when we talk about regulation I mean all this regulation regulation I mean all this regulation regulation I mean all this regulation about consent That is total about consent That is total about consent That is total But a regulation about you have to But a regulation about you have to But a regulation about you have to disclose the system prompt would make disclose the system prompt would make disclose the system prompt would make much much much more sense because this much much much more sense because this much much much more sense because this is where most of the bias come nowadays.

is where most of the bias come nowadays. is where most of the bias come nowadays. The bias doesn't come from the data. The The bias doesn't come from the data. The The bias doesn't come from the data. The data is the data assuming the data is data is the data assuming the data is data is the data assuming the data is good obviously but the the you know the good obviously but the the you know the good obviously but the the you know the answers you get from those models and answers you get from those models and answers you get from those models and it's actually interesting to ask the it's actually interesting to ask the it's actually interesting to ask the same question to models over time. I same question to models over time. I same question to models over time. I mean uh I I gave you the example of the mean uh I I gave you the example of the mean uh I I gave you the example of the images uh earlier in the show where images uh earlier in the show where images uh earlier in the show where because I generated my background with because I generated my background with because I generated my background with it which you cannot do anymore for it which you cannot do anymore for it which you cannot do anymore for copyright. But take the same question copyright. But take the same question copyright. But take the same question and ask it over time after a few months and ask it over time after a few months and ask it over time after a few months and you see the model starting having and you see the model starting having and you see the model starting having different answers. It's very different answers. It's very different answers. It's very >> because it's not because of the data >> because it's not because of the data >> because it's not because of the data it's because of the system prompt behind it's because of the system prompt behind it's because of the system prompt behind >> system prompts. Yep. Totally agree. >> system prompts. Yep. Totally agree. >> system prompts. Yep. Totally agree. [Music] [Music] [Music] >> Yeah. Deep. >> Yeah. Deep. >> Yeah. Deep. >> Yeah. Just be a DJ. Wiki wiki wiki. >> Yeah. Just be a DJ. Wiki wiki wiki. >> Yeah. Just be a DJ. Wiki wiki wiki. >> Well, fundamentally this is what those >> Well, fundamentally this is what those >> Well, fundamentally this is what those reasoning model do rob to your point reasoning model do rob to your point reasoning model do rob to your point because because because >> oh the reasoning model is like went wiki >> oh the reasoning model is like went wiki >> oh the reasoning model is like went wiki wiki wiki wiki wiki wiki wiki >> because >> because >> because it put a system it put a system it put a system [Music] [Music] [Music] that's pretty good.

that's pretty good. that's pretty good. >> I was thinking of Herby Hancock. Dude, >> I was thinking of Herby Hancock. Dude, >> I was thinking of Herby Hancock. Dude, you should just do bad karaoke doing you should just do bad karaoke doing you should just do bad karaoke doing that thing. that thing. that thing. >> Do like a beatbox acappella. >> Do like a beatbox acappella. >> Do like a beatbox acappella. >> Yeah. >> Yeah. >> Yeah. >> What did you do for breakfast? Rob from >> What did you do for breakfast? Rob from >> What did you do for breakfast? Rob from >> black coffee with hips. >> Yeah, shrooms. It's >> Yeah, shrooms. It's you you went to to star shrooms, not you you went to to star shrooms, not you you went to to star shrooms, not Starbucks. Starbucks. Starbucks. >> Yeah. Yeah. Now, I was micro doing on >> Yeah. Yeah. Now, I was micro doing on >> Yeah. Yeah. Now, I was micro doing on black coffee with Truvia, I think is the black coffee with Truvia, I think is the black coffee with Truvia, I think is the sweetener. sweetener. sweetener. I don't know. I don't know. I've been I don't know. I don't know. I've been I don't know. I don't know. I've been trying to do the intermittent fasting trying to do the intermittent fasting trying to do the intermittent fasting thing for the last month thing for the last month thing for the last month >> and so I can have black coffee that >> and so I can have black coffee that >> and so I can have black coffee that tastes horrible in the morning. So, tastes horrible in the morning. So, tastes horrible in the morning. So, >> some kind of non sugar sweetener and no >> some kind of non sugar sweetener and no >> some kind of non sugar sweetener and no cream. Well, the best thing is to uh is cream. Well, the best thing is to uh is cream. Well, the best thing is to uh is to start drinking coffee with no sugar.

to start drinking coffee with no sugar. to start drinking coffee with no sugar. >> And >> And >> And >> Oh, yeah, definitely. Well, just drink >> Oh, yeah, definitely. Well, just drink >> Oh, yeah, definitely. Well, just drink really good coffee and then you don't really good coffee and then you don't really good coffee and then you don't need sugar. need sugar. need sugar. >> And where did we find that? >> And where did we find that? >> And where did we find that? >> You live in the Pacific Northwest. Like, >> You live in the Pacific Northwest. Like, >> You live in the Pacific Northwest. Like, happy to drop off a bag of beans if you happy to drop off a bag of beans if you happy to drop off a bag of beans if you need some. need some. need some. >> You find it in Milan, which by the way, >> You find it in Milan, which by the way, >> You find it in Milan, which by the way, Pete, you haven't been on a long time. Pete, you haven't been on a long time. Pete, you haven't been on a long time. So, why don't you tell us how it was in So, why don't you tell us how it was in So, why don't you tell us how it was in Milan? Milan? Milan? >> Oh, Milan. Yeah. >> Oh, Milan. Yeah. >> Oh, Milan. Yeah. >> Yeah. >> Yeah. >> Yeah. >> Well, now now I'm over my jet lag. No, >> Well, now now I'm over my jet lag. No, >> Well, now now I'm over my jet lag. No, that was great. It was a lot of fun. Um, that was great. It was a lot of fun. Um, that was great. It was a lot of fun. Um, we had like it was like three days, we had like it was like three days, we had like it was like three days, three or four days of talks. I think we three or four days of talks. I think we three or four days of talks. I think we had like 40 talks. We had workshops. We had like 40 talks. We had workshops. We had like 40 talks. We had workshops. We had panels, had panels, had panels, demos, dinners, you know, the whole demos, dinners, you know, the whole demos, dinners, you know, the whole thing. So, I had a few hundred people thing. So, I had a few hundred people thing. So, I had a few hundred people kind of soaking in the edge AI ecosystem kind of soaking in the edge AI ecosystem kind of soaking in the edge AI ecosystem uh for a few days there. A lot of folks uh for a few days there. A lot of folks uh for a few days there. A lot of folks from academia, industry, from academia, industry, from academia, industry, um, you know, tech providers and a lot um, you know, tech providers and a lot um, you know, tech providers and a lot of new partners. We've we've actually of new partners. We've we've actually of new partners. We've we've actually added like 14 new partners since added like 14 new partners since added like 14 new partners since February February February uh to the community which was pretty uh to the community which was pretty uh to the community which was pretty cool. So Dantech was there, Microchip cool. So Dantech was there, Microchip cool. So Dantech was there, Microchip was there, a lot of new folks. Roofline was there, a lot of new folks. Roofline was there, a lot of new folks. Roofline Roofline AI which is really cool out of Roofline AI which is really cool out of Roofline AI which is really cool out of Germany. So yeah, no it was great. Um Germany. So yeah, no it was great. Um Germany. So yeah, no it was great. Um and u you know new high water mark for and u you know new high water mark for and u you know new high water mark for us. So we got we set the bar high. We're us. So we got we set the bar high. We're us. So we got we set the bar high. We're actually our next event's in Taipei actually our next event's in Taipei actually our next event's in Taipei November 11th and 12th um which is November 11th and 12th um which is November 11th and 12th um which is currently in planning. Um, and that's currently in planning. Um, and that's currently in planning. Um, and that's going to be another biggie. Wow, it's going to be another biggie. Wow, it's going to be another biggie. Wow, it's very exciting. So, people that are in very exciting. So, people that are in very exciting. So, people that are in that area should should definitely make that area should should definitely make that area should should definitely make their way. But, uh, yeah, Milan was a their way. But, uh, yeah, Milan was a their way. But, uh, yeah, Milan was a lot of fun. Um, actually, we, uh, my lot of fun. Um, actually, we, uh, my lot of fun. Um, actually, we, uh, my wife and I were in Rome for a few days wife and I were in Rome for a few days wife and I were in Rome for a few days before Milan, which was cool. So, we we

before Milan, which was cool. So, we we before Milan, which was cool. So, we we we saw all the checked all the boxes in we saw all the checked all the boxes in we saw all the checked all the boxes in Rome and then went to Verona afterward, Rome and then went to Verona afterward, Rome and then went to Verona afterward, which was which was beautiful. So, uh, which was which was beautiful. So, uh, which was which was beautiful. So, uh, it's just a little hot. I would say this it's just a little hot. I would say this it's just a little hot. I would say this is like is like is like >> the Europe thing, you know, if you're in >> the Europe thing, you know, if you're in >> the Europe thing, you know, if you're in Europe, I mean, it's hot, so just deal Europe, I mean, it's hot, so just deal Europe, I mean, it's hot, so just deal with it. Um, with it. Um, with it. Um, >> it's getting hot in here. >> it's getting hot in here. >> it's getting hot in here. >> Yeah, >> Yeah, >> Yeah, >> it's getting hot. Getting hot. But, uh, >> it's getting hot. Getting hot. But, uh, >> it's getting hot. Getting hot. But, uh, yeah, Milan was awesome. And, um, yeah, yeah, Milan was awesome. And, um, yeah, yeah, Milan was awesome. And, um, yeah, the community keeps growing because the community keeps growing because the community keeps growing because people are just into this stuff. There's people are just into this stuff. There's people are just into this stuff. There's like so many different things you can like so many different things you can like so many different things you can now do with AJI and, now do with AJI and, now do with AJI and, >> you know, it's uh, seemingly endless. We >> you know, it's uh, seemingly endless. We >> you know, it's uh, seemingly endless. We just had a um I had two working group just had a um I had two working group just had a um I had two working group calls this morning starting at 7:30 that calls this morning starting at 7:30 that calls this morning starting at 7:30 that were just we spent most of the time were just we spent most of the time were just we spent most of the time introducing new people uh because it was introducing new people uh because it was introducing new people uh because it was just so many new folks involved. So it just so many new folks involved. So it just so many new folks involved. So it was pretty cool. was pretty cool. was pretty cool. >> Oh, awesome. That's exciting. >> Oh, awesome. That's exciting. >> Oh, awesome. That's exciting. >> So what's the emerging nonsense? >> So what's the emerging nonsense? >> So what's the emerging nonsense? >> Emerging nonsense. Well, I mean uh >> Emerging nonsense. Well, I mean uh >> Emerging nonsense. Well, I mean uh >> there's going to be some some companies >> there's going to be some some companies >> there's going to be some some companies or somebody whose sistering some or somebody whose sistering some or somebody whose sistering some So So So >> well you know the the I mean some of the >> well you know the the I mean some of the >> well you know the the I mean some of the kooky things you know I think that this kooky things you know I think that this kooky things you know I think that this whole area of physical AI has a lot of whole area of physical AI has a lot of whole area of physical AI has a lot of kind of overhype especially around the kind of overhype especially around the kind of overhype especially around the humanoid robotic space right so there's humanoid robotic space right so there's humanoid robotic space right so there's a lot of practical practical good a lot of practical practical good a lot of practical practical good applications of robotics especially applications of robotics especially applications of robotics especially using edge AI and even generative AI on using edge AI and even generative AI on using edge AI and even generative AI on the edge with sensors to do really the edge with sensors to do really the edge with sensors to do really critical work dangerous work you know critical work dangerous work you know critical work dangerous work you know repetitive work uh the whole humanoid repetitive work uh the whole humanoid repetitive work uh the whole humanoid part of it is just a little bit of a you part of it is just a little bit of a you part of it is just a little bit of a you know dancing robot that you makes you

know dancing robot that you makes you know dancing robot that you makes you coffee that doesn't exist and cost coffee that doesn't exist and cost coffee that doesn't exist and cost $20,000. And yeah, so that that's $20,000. And yeah, so that that's $20,000. And yeah, so that that's probably the pe the the peak of the of probably the pe the the peak of the of probably the pe the the peak of the of the goofiness right now. Um but um then the goofiness right now. Um but um then the goofiness right now. Um but um then there's also like people applying there's also like people applying there's also like people applying generative AI, you know, the the talking generative AI, you know, the the talking generative AI, you know, the the talking refrigerator and all this kind of refrigerator and all this kind of refrigerator and all this kind of garbage. So I think generative AI on the garbage. So I think generative AI on the garbage. So I think generative AI on the edge is finding its footing um but not edge is finding its footing um but not edge is finding its footing um but not in some of these kind of consumer in some of these kind of consumer in some of these kind of consumer appliance scenarios. appliance scenarios. appliance scenarios. >> Really? >> Really? >> Really? >> Yeah. Yeah. >> Yeah. Yeah. >> Yeah. Yeah. >> All right. especially like year to two >> All right. especially like year to two >> All right. especially like year to two year you're using generative AI to make year you're using generative AI to make year you're using generative AI to make sense of a lot of sensor data right so u sense of a lot of sensor data right so u sense of a lot of sensor data right so u you have like hundreds of inputs of you have like hundreds of inputs of you have like hundreds of inputs of information how do you make sense of information how do you make sense of information how do you make sense of that do you show some sort of weird that do you show some sort of weird that do you show some sort of weird dashboard or whatever or do you use dashboard or whatever or do you use dashboard or whatever or do you use generative AI to sort of you know generative AI to sort of you know generative AI to sort of you know interpret that information and give you interpret that information and give you interpret that information and give you some good output so I think there's some some good output so I think there's some some good output so I think there's some >> you know I don't I don't think the topic >> you know I don't I don't think the topic >> you know I don't I don't think the topic of having of having of having you know being able to deploy let's say you know being able to deploy let's say you know being able to deploy let's say small language models or conversational small language models or conversational small language models or conversational appliances or inter interactions with appliances or inter interactions with appliances or inter interactions with appliances a bad thing. Uh as long as appliances a bad thing. Uh as long as appliances a bad thing. Uh as long as you don't try to make it into like you don't try to make it into like you don't try to make it into like freaking some R2-D2 or C3PO kind of freaking some R2-D2 or C3PO kind of freaking some R2-D2 or C3PO kind of conversation, there's there's utility in conversation, there's there's utility in conversation, there's there's utility in that especially if you can frame it that especially if you can frame it that especially if you can frame it around privacy and confidentiality for around privacy and confidentiality for around privacy and confidentiality for industrial applications that I mean industrial applications that I mean industrial applications that I mean makes a lot of makes a lot of makes a lot of >> sense and just human machine interface, >> sense and just human machine interface, >> sense and just human machine interface, right? I mean, right? I mean, right? I mean, >> the machines we have are just getting >> the machines we have are just getting >> the machines we have are just getting way too complicated and people struggle way too complicated and people struggle way too complicated and people struggle with how many buttons and screens and with how many buttons and screens and with how many buttons and screens and things and sometimes cutting through

things and sometimes cutting through things and sometimes cutting through that with voice could make sense. I that with voice could make sense. I that with voice could make sense. I mean, that's what folks tried to do with mean, that's what folks tried to do with mean, that's what folks tried to do with Alexa and these platforms 10 years ago, Alexa and these platforms 10 years ago, Alexa and these platforms 10 years ago, right? It's which is very limited right? It's which is very limited right? It's which is very limited success. So, um success. So, um success. So, um >> yeah, and I mean that it's a good >> yeah, and I mean that it's a good >> yeah, and I mean that it's a good warning to everyone that to remember the warning to everyone that to remember the warning to everyone that to remember the hype around that. Um, jeez, I was at hype around that. Um, jeez, I was at hype around that. Um, jeez, I was at Gartner at the time and it was bonkers Gartner at the time and it was bonkers Gartner at the time and it was bonkers and there were all these people talking and there were all these people talking and there were all these people talking about how uh AW Amazon was beating Apple about how uh AW Amazon was beating Apple about how uh AW Amazon was beating Apple because they had more skills. It's like because they had more skills. It's like because they had more skills. It's like who cares, who cares, who cares, >> you know, do people actually want to >> you know, do people actually want to >> you know, do people actually want to talk to these things? And it turns out, talk to these things? And it turns out, talk to these things? And it turns out, you know, after that initial you know, after that initial you know, after that initial um novelty of, you know, the Alexa um novelty of, you know, the Alexa um novelty of, you know, the Alexa telling jokes or Siri telling stupid telling jokes or Siri telling stupid telling jokes or Siri telling stupid jokes, jokes, jokes, all that stuff just faded away, right? all that stuff just faded away, right? all that stuff just faded away, right? And and you know, there is this And and you know, there is this And and you know, there is this underlying underlying underlying issue uh with these assistants is that issue uh with these assistants is that issue uh with these assistants is that people just generally don't like talking people just generally don't like talking people just generally don't like talking to machines because we barely talk to to machines because we barely talk to to machines because we barely talk to each other really well and clearly. Um, each other really well and clearly. Um, each other really well and clearly. Um, when you're trying to get something when you're trying to get something when you're trying to get something exact out of a a device that probably is exact out of a a device that probably is exact out of a a device that probably is not as intelligent as a cat. Um, not as intelligent as a cat. Um, not as intelligent as a cat. Um, >> I'm waiting for my uh my next Whimo ride >> I'm waiting for my uh my next Whimo ride >> I'm waiting for my uh my next Whimo ride in San Francisco. I think they they need in San Francisco. I think they they need in San Francisco. I think they they need to add some chat function so when I go to add some chat function so when I go to add some chat function so when I go in there, sit in the back seat, turn on in there, sit in the back seat, turn on in there, sit in the back seat, turn on my music, and and then there's no my music, and and then there's no my music, and and then there's no driver, I can talk to the the cab and driver, I can talk to the the cab and driver, I can talk to the the cab and ask it about what's the good restaurants ask it about what's the good restaurants ask it about what's the good restaurants around here or whatever. I think it around here or whatever. I think it around here or whatever. I think it should be a I should be able to talk to should be a I should be able to talk to should be a I should be able to talk to the cab driver. Which is kind of ironic

the cab driver. Which is kind of ironic the cab driver. Which is kind of ironic because the reason why people like because the reason why people like because the reason why people like Wayimo is because there is no driver Wayimo is because there is no driver Wayimo is because there is no driver because you don't want to interact with because you don't want to interact with because you don't want to interact with anyone. So anyone. So anyone. So >> yeah, >> yeah, >> yeah, >> but it's like oh it's okay to talk to >> but it's like oh it's okay to talk to >> but it's like oh it's okay to talk to like talk to like an AI generated robot like talk to like an AI generated robot like talk to like an AI generated robot but you don't want to actually talk to a but you don't want to actually talk to a but you don't want to actually talk to a human. It's like what? I don't human. It's like what? I don't human. It's like what? I don't understand. understand. understand. >> It's perfect for Gen Z. >> It's perfect for Gen Z. >> It's perfect for Gen Z. >> Yeah. Just stare into the distance kind >> Yeah. Just stare into the distance kind >> Yeah. Just stare into the distance kind of. of. of. >> Yeah. It's like I don't talk to humans. >> Yeah. It's like I don't talk to humans. >> Yeah. It's like I don't talk to humans. I get triggered if the phone rings and I I get triggered if the phone rings and I I get triggered if the phone rings and I have to talk to a person. Uhuh. have to talk to a person. Uhuh. have to talk to a person. Uhuh. I I still think that the primary value I I still think that the primary value I I still think that the primary value of those way more things is to mess up of those way more things is to mess up of those way more things is to mess up the traffic and create gigantic traffic the traffic and create gigantic traffic the traffic and create gigantic traffic jams. You try to use them during RSA. jams. You try to use them during RSA. jams. You try to use them during RSA. It's a nightmare. It I mean I had to It's a nightmare. It I mean I had to It's a nightmare. It I mean I had to drive to RSA for a couple of reason. It drive to RSA for a couple of reason. It drive to RSA for a couple of reason. It was a nightmare with all those stupid was a nightmare with all those stupid was a nightmare with all those stupid things hesitating. Can I change lane? Oh things hesitating. Can I change lane? Oh things hesitating. Can I change lane? Oh no, it's too dangerous. Can I change no, it's too dangerous. Can I change no, it's too dangerous. Can I change lane? What is my leader telling me? What lane? What is my leader telling me? What lane? What is my leader telling me? What is my model telling me? what he's is my model telling me? what he's is my model telling me? what he's >> I think uh Demetri I think you and I >> I think uh Demetri I think you and I >> I think uh Demetri I think you and I were going back and forth on that on on were going back and forth on that on on were going back and forth on that on on on a post and Leonard I think you posted on a post and Leonard I think you posted on a post and Leonard I think you posted it it it >> and I I was just like incensed. I mean >> and I I was just like incensed. I mean >> and I I was just like incensed. I mean when I when I saw that it was like when I when I saw that it was like when I when I saw that it was like everyone everyone in town let's jump in.

everyone everyone in town let's jump in. everyone everyone in town let's jump in. I'm like man look you know what screw I'm like man look you know what screw I'm like man look you know what screw that with a capital F. I'm not about to that with a capital F. I'm not about to that with a capital F. I'm not about to I'm not about to do that and contribute I'm not about to do that and contribute I'm not about to do that and contribute to the to the exact thing that we're to the to the exact thing that we're to the to the exact thing that we're trying to resolve, which is congestion trying to resolve, which is congestion trying to resolve, which is congestion along the corridors. along the corridors. along the corridors. >> So, I'm like, you know, look, good on >> So, I'm like, you know, look, good on >> So, I'm like, you know, look, good on the companies that are trying to do the companies that are trying to do the companies that are trying to do that, but you know what? Stick to that, but you know what? Stick to that, but you know what? Stick to dealing with campuses and stuff like dealing with campuses and stuff like dealing with campuses and stuff like that. Don't put them in the that. Don't put them in the that. Don't put them in the >> Yeah, exactly. Control environment. >> Yeah, exactly. Control environment. >> Yeah, exactly. Control environment. Those things will work great if there Those things will work great if there Those things will work great if there were only way. As soon as you start were only way. As soon as you start were only way. As soon as you start mixing these automated things with mixing these automated things with mixing these automated things with human, human, human, >> well then we just need to get rid of the >> well then we just need to get rid of the >> well then we just need to get rid of the human drivers. I think that's what human drivers. I think that's what human drivers. I think that's what you're saying. you're saying. you're saying. >> No, but it's but the example of >> No, but it's but the example of >> No, but it's but the example of compasses or control environment, you compasses or control environment, you compasses or control environment, you know, specific highways just for that. know, specific highways just for that. know, specific highways just for that. You got tunnels the the the tunnels on You got tunnels the the the tunnels on You got tunnels the the the tunnels on the Las Vegas, that's a good idea. You the Las Vegas, that's a good idea. You the Las Vegas, that's a good idea. You put just automated things in a control put just automated things in a control put just automated things in a control environment and they will optimize. But environment and they will optimize. But environment and they will optimize. But as soon as you put the human in the as soon as you put the human in the as soon as you put the human in the loop, the the way human think is loop, the the way human think is loop, the the way human think is different. We optimize different and different. We optimize different and different. We optimize different and they they collide. I do believe that.

they they collide. I do believe that. they they collide. I do believe that. >> Yeah. But you know, for all of this >> Yeah. But you know, for all of this >> Yeah. But you know, for all of this stuff, this is the thing that I I think stuff, this is the thing that I I think stuff, this is the thing that I I think a lot of these a lot of these a lot of these these robo taxi companies haven't these robo taxi companies haven't these robo taxi companies haven't thought through really well. There's a thought through really well. There's a thought through really well. There's a reason why um you this whole ride share reason why um you this whole ride share reason why um you this whole ride share thing exists and it's to allow one of thing exists and it's to allow one of thing exists and it's to allow one of the most underutilized assets that the most underutilized assets that the most underutilized assets that anyone has anyone has anyone has uh to be monetizable, right? It solves a uh to be monetizable, right? It solves a uh to be monetizable, right? It solves a problem. It solves a real human problem. problem. It solves a real human problem. problem. It solves a real human problem. Um I think with the robo taxis they they Um I think with the robo taxis they they Um I think with the robo taxis they they have high value in certain you know have high value in certain you know have high value in certain you know niche or corner cases right um but the niche or corner cases right um but the niche or corner cases right um but the reason why you know um Uber and others reason why you know um Uber and others reason why you know um Uber and others have taken off is simply because there's have taken off is simply because there's have taken off is simply because there's increasingly more people who are in increasingly more people who are in increasingly more people who are in between jobs and it creates an between jobs and it creates an between jobs and it creates an opportunity for them these folks who are opportunity for them these folks who are opportunity for them these folks who are you know um looking for jobs uh or or you know um looking for jobs uh or or you know um looking for jobs uh or or are in between jobs or don't even want are in between jobs or don't even want are in between jobs or don't even want to get a job to basically to get a job to basically to get a job to basically >> supplement their jobs two jobs already.

>> supplement their jobs two jobs already. >> supplement their jobs two jobs already. >> Exactly. And so that really is one of >> Exactly. And so that really is one of >> Exactly. And so that really is one of the big um problems that are being the big um problems that are being the big um problems that are being solved by this thing. And that's solved by this thing. And that's solved by this thing. And that's something, you know, I posted a um some something, you know, I posted a um some something, you know, I posted a um some one of my old research pieces on that. one of my old research pieces on that. one of my old research pieces on that. And that was the conclusion I came to as And that was the conclusion I came to as And that was the conclusion I came to as I was examining the initial hype around I was examining the initial hype around I was examining the initial hype around autonomous vehicles. Uh and PE, you autonomous vehicles. Uh and PE, you autonomous vehicles. Uh and PE, you know, people don't talk about that know, people don't talk about that know, people don't talk about that because they're so fixated on the robo because they're so fixated on the robo because they're so fixated on the robo taxi and, you know, speculating that taxi and, you know, speculating that taxi and, you know, speculating that this is going to be the next, you know, this is going to be the next, you know, this is going to be the next, you know, x trillion dollar opportunity for Google x trillion dollar opportunity for Google x trillion dollar opportunity for Google and and and >> really thinking through what problem are >> really thinking through what problem are >> really thinking through what problem are we trying to solve with this thing, we trying to solve with this thing, we trying to solve with this thing, right? right? right? But I'm not sure I'm following what But I'm not sure I'm following what But I'm not sure I'm following what exactly you say or not because are you exactly you say or not because are you exactly you say or not because are you meaning that you know this is a way for meaning that you know this is a way for meaning that you know this is a way for somebody who has a car and invest in the somebody who has a car and invest in the somebody who has a car and invest in the car to make it autonomous to make some car to make it autonomous to make some car to make it autonomous to make some revenue. No, no. revenue. No, no. revenue. No, no. >> A regular person, some, you know, like >> A regular person, some, you know, like >> A regular person, some, you know, like what we talked about last week, middle what we talked about last week, middle what we talked about last week, middle inome, low income uh household that has inome, low income uh household that has inome, low income uh household that has an asset that sits in the garage or it an asset that sits in the garage or it an asset that sits in the garage or it is um utilized maybe 5% of the time to is um utilized maybe 5% of the time to is um utilized maybe 5% of the time to basically use that as a basically use that as a basically use that as a >> Oh, yeah. But this is nothing to do with >> Oh, yeah. But this is nothing to do with >> Oh, yeah. But this is nothing to do with robot taxi. I mean, robot taxi. I mean, robot taxi. I mean, >> robot taxes.

>> robot taxes. >> robot taxes. >> Yeah. talk, >> Yeah. talk, >> Yeah. talk, >> you know, in this age of AI, I heard you >> you know, in this age of AI, I heard you >> you know, in this age of AI, I heard you say people thinking they're in between say people thinking they're in between say people thinking they're in between jobs. In the age of AI, you'll just be jobs. In the age of AI, you'll just be jobs. In the age of AI, you'll just be imagining, hoping that you're in between imagining, hoping that you're in between imagining, hoping that you're in between jobs, but what it really is is jobs, but what it really is is jobs, but what it really is is >> you're about to be retired permanently. scenario. scenario. >> Best case scenario. retired like Logan's >> Best case scenario. retired like Logan's >> Best case scenario. retired like Logan's Run when you turn 35 like that. Run when you turn 35 like that. Run when you turn 35 like that. >> Exactly. It's like Last Day. Yeah, >> Exactly. It's like Last Day. Yeah, >> Exactly. It's like Last Day. Yeah, exactly. You know, exactly. You know, exactly. You know, >> everyone should watch that movie. Yeah. >> everyone should watch that movie. Yeah. >> everyone should watch that movie. Yeah. >> Renew. Renew. Yeah, >> Renew. Renew. Yeah, >> Renew. Renew. Yeah, >> exactly. What stoper? Um or like another >> exactly. What stoper? Um or like another >> exactly. What stoper? Um or like another dystopian movie. Do you ever see the dystopian movie. Do you ever see the dystopian movie. Do you ever see the movie The Island with you and McGregor movie The Island with you and McGregor movie The Island with you and McGregor and ScarJo? and ScarJo? and ScarJo? You know, You know, You know, basically you're just spare part clone basically you're just spare part clone basically you're just spare part clone for someone else in the real world. and for someone else in the real world. and for someone else in the real world. and you know you won the lottery and you're you know you won the lottery and you're you know you won the lottery and you're going to the island.

going to the island. going to the island. >> But anyway, yeah, >> But anyway, yeah, >> But anyway, yeah, >> also the matrix. We can solve the energy >> also the matrix. We can solve the energy >> also the matrix. We can solve the energy bill. bill. bill. >> Exactly. And that's why we keep coming >> Exactly. And that's why we keep coming >> Exactly. And that's why we keep coming back to the matrix on the show so often back to the matrix on the show so often back to the matrix on the show so often is we're going to need the because what is we're going to need the because what is we're going to need the because what are we going to do with all extra are we going to do with all extra are we going to do with all extra bodies? bodies? bodies? >> Yeah. >> Yeah. >> Yeah. >> Well, but no, but it worse than that. We >> Well, but no, but it worse than that. We >> Well, but no, but it worse than that. We know that we have an energy consumption know that we have an energy consumption know that we have an energy consumption problem with all these new nets. So, problem with all these new nets. So, problem with all these new nets. So, it's time to turn humans into it's time to turn humans into it's time to turn humans into electricity generation. electricity generation. electricity generation. >> Just pedal pedal while you're in your >> Just pedal pedal while you're in your >> Just pedal pedal while you're in your pod. I didn't say we we talked about pod. I didn't say we we talked about pod. I didn't say we we talked about that that that >> your matrix pod you'll be pedaling and >> your matrix pod you'll be pedaling and >> your matrix pod you'll be pedaling and you can get credits that way. you can get credits that way. you can get credits that way. >> I think it's fair gyms and treadmills >> I think it's fair gyms and treadmills >> I think it's fair gyms and treadmills next to these data centers and just have next to these data centers and just have next to these data centers and just have people go there and work out people go there and work out people go there and work out >> even better. You you get tokens. >> even better. You you get tokens. >> even better. You you get tokens. >> You pedal, you get tokens. The more you >> You pedal, you get tokens. The more you >> You pedal, you get tokens. The more you pedal, the more tokens. pedal, the more tokens. pedal, the more tokens. >> You get tokens. Everybody wants tokens. >> You get tokens. Everybody wants tokens. >> You get tokens. Everybody wants tokens. >> Um Black Mirror episode, right? They >> Um Black Mirror episode, right? They >> Um Black Mirror episode, right? They have a Black Mirror episode of that. have a Black Mirror episode of that. have a Black Mirror episode of that. >> Oh yeah, absolutely they did. Yeah. >> Oh yeah, absolutely they did. Yeah. >> Oh yeah, absolutely they did. Yeah. remember they're every day they're on remember they're every day they're on remember they're every day they're on the bikes generating electricity. Black the bikes generating electricity. Black the bikes generating electricity. Black Mirror is just getting us ready for the Mirror is just getting us ready for the Mirror is just getting us ready for the actual future that we're having. Bye-bye actual future that we're having. Bye-bye actual future that we're having. Bye-bye stuff. Have nice time with you.

stuff. Have nice time with you. stuff. Have nice time with you. >> Oh, she didn't even say a word. A >> Oh, she didn't even say a word. A >> Oh, she didn't even say a word. A >> I can say a few. >> I can say a few. >> I can say a few. >> I've got to go pick up Gus. It's been a >> I've got to go pick up Gus. It's been a >> I've got to go pick up Gus. It's been a hell of a week at that cat. hell of a week at that cat. hell of a week at that cat. >> What happened to Gus? >> What happened to Gus? >> What happened to Gus? >> Yeah. Uh it's not something I want like >> Yeah. Uh it's not something I want like >> Yeah. Uh it's not something I want like No, we don't need to talk about that. No, we don't need to talk about that. No, we don't need to talk about that. >> Okay. >> Okay. >> Okay. All right, we have our prayers to Gus. All right, we have our prayers to Gus. All right, we have our prayers to Gus. >> Thank you. Bye, guys. >> Thank you. Bye, guys. >> Thank you. Bye, guys. >> All right, take care. >> Yes. So, did we lose Pete? We lost Pete. >> Yes. So, did we lose Pete? We lost Pete. >> Yeah. Yeah. I think >> Yeah. Yeah. I think >> Yeah. Yeah. I think >> Pete said Pete said he had to bounce. >> Pete said Pete said he had to bounce. >> Pete said Pete said he had to bounce. >> Ah, okay. Right. >> Ah, okay. Right. >> Ah, okay. Right. >> Sometimes you got to bounce. Sometimes >> Sometimes you got to bounce. Sometimes >> Sometimes you got to bounce. Sometimes you jump around. you jump around. you jump around. >> Just depends. >> Just depends. >> Just depends. >> Sometimes your your tiny ML pet is >> Sometimes your your tiny ML pet is >> Sometimes your your tiny ML pet is demanding. So, demanding. So, demanding. So, >> I mean, if you really think about it, >> I mean, if you really think about it, >> I mean, if you really think about it, that it is pretty scary, right? That that it is pretty scary, right? That that it is pretty scary, right? That that's probably what's going to come that's probably what's going to come that's probably what's going to come down to is if you take this whole ride down to is if you take this whole ride down to is if you take this whole ride sharing model, right, and you somehow sharing model, right, and you somehow sharing model, right, and you somehow twist it into twist it into twist it into a solution or a paradigm that you can a solution or a paradigm that you can a solution or a paradigm that you can use to solve the the, you know, Uber AI use to solve the the, you know, Uber AI use to solve the the, you know, Uber AI data center energy crisis.

data center energy crisis. data center energy crisis. That might be kind of a cool thing, That might be kind of a cool thing, That might be kind of a cool thing, right? Yeah, but I don't know if it's right? Yeah, but I don't know if it's right? Yeah, but I don't know if it's cool, but cool, but cool, but >> yeah, the problem with that business >> yeah, the problem with that business >> yeah, the problem with that business model, Leonard, is that if people are model, Leonard, is that if people are model, Leonard, is that if people are busy now pedalling to generate busy now pedalling to generate busy now pedalling to generate electricity for set for Uber service electricity for set for Uber service electricity for set for Uber service cars they cannot use because they are cars they cannot use because they are cars they cannot use because they are pedling. So that doesn't work that it pedling. So that doesn't work that it pedling. So that doesn't work that it has to be for another use case. It's not has to be for another use case. It's not has to be for another use case. It's not for Uber. It might be for OpenAI, but for Uber. It might be for OpenAI, but for Uber. It might be for OpenAI, but not for not for not for >> that's an asset light approach. to your >> that's an asset light approach. to your >> that's an asset light approach. to your post career termination, your vocational post career termination, your vocational post career termination, your vocational termination scenario termination scenario termination scenario is basically retired to uh what is basically retired to uh what is basically retired to uh what essentially is Yeah. the matrix. It's essentially is Yeah. the matrix. It's essentially is Yeah. the matrix. It's like it's a a human energy generation like it's a a human energy generation like it's a a human energy generation farm. farm. farm. >> Exactly. >> Exactly. >> Exactly. >> And they can set up a campus. They can >> And they can set up a campus. They can >> And they can set up a campus. They can they can, you know, just like in the they can, you know, just like in the they can, you know, just like in the Matrix, feed you drool. Matrix, feed you drool. Matrix, feed you drool. >> Yeah. Cuz you found out that you've been >> Yeah. Cuz you found out that you've been >> Yeah. Cuz you found out that you've been marked for deletion. marked for deletion. marked for deletion. >> Yeah. >> Yeah. >> Yeah. We we have the AI to entertain them We we have the AI to entertain them We we have the AI to entertain them where they pedal. You just give them to where they pedal. You just give them to where they pedal. You just give them to talk to. When you pedal, you talk to you talk to. When you pedal, you talk to you talk to. When you pedal, you talk to you make more talk.

make more talk. make more talk. >> Now you're talking about ride sharing, >> Now you're talking about ride sharing, >> Now you're talking about ride sharing, but maybe we'll have a matrix pod but maybe we'll have a matrix pod but maybe we'll have a matrix pod sharing. Let's say maybe you haven't sharing. Let's say maybe you haven't sharing. Let's say maybe you haven't done a good enough job and so you have done a good enough job and so you have done a good enough job and so you have to like rent out your Matrix pod to to like rent out your Matrix pod to to like rent out your Matrix pod to someone else while you go back out on someone else while you go back out on someone else while you go back out on the streets, you know, in the real world the streets, you know, in the real world the streets, you know, in the real world for a while. And then, you know, maybe for a while. And then, you know, maybe for a while. And then, you know, maybe you swap. It's kind of like hot racking you swap. It's kind of like hot racking you swap. It's kind of like hot racking as we did on the submarine. sort of like as we did on the submarine. sort of like as we did on the submarine. sort of like severance except not asynchronous, it's severance except not asynchronous, it's severance except not asynchronous, it's synchronous, synchronous, synchronous, >> right? >> right? >> right? >> Yes. Right. >> Yes. Right. >> Yes. Right. >> Right. Yeah. >> Right. Yeah. >> Right. Yeah. >> Well, you know, all this dystopian >> Well, you know, all this dystopian >> Well, you know, all this dystopian is going to come true, you know. is going to come true, you know. is going to come true, you know. >> And again, it's it was in the Matrix >> And again, it's it was in the Matrix >> And again, it's it was in the Matrix movie because you had entities crossing, movie because you had entities crossing, movie because you had entities crossing, you know, the Agent Smith's going purely you know, the Agent Smith's going purely you know, the Agent Smith's going purely digital and becoming human and back and digital and becoming human and back and digital and becoming human and back and forth. So, forth. So, forth. So, >> yeah, >> yeah, >> yeah, >> it's already everything's in the movie. >> it's already everything's in the movie. >> it's already everything's in the movie. We people everything that's all our We people everything that's all our We people everything that's all our future is in the Matrix movie. future is in the Matrix movie. future is in the Matrix movie. >> Yeah, pretty much. >> Yeah, pretty much. >> Yeah, pretty much. >> It is really odd but it's not that >> It is really odd but it's not that >> It is really odd but it's not that far-fetched because I mean if you really far-fetched because I mean if you really far-fetched because I mean if you really think about the whole model for think about the whole model for think about the whole model for um the sharing economy um the sharing economy um the sharing economy it even though it had sort of this it even though it had sort of this it even though it had sort of this utopian flavor to it there is a utopian flavor to it there is a utopian flavor to it there is a dystopian backside you know flip side to dystopian backside you know flip side to dystopian backside you know flip side to it. So it it's not too far-fetched to it. So it it's not too far-fetched to it. So it it's not too far-fetched to think about the possibility of these think about the possibility of these think about the possibility of these things happening because in fact a lot things happening because in fact a lot things happening because in fact a lot of these things are happening. It's just of these things are happening. It's just of these things are happening. It's just we're just not acknowledging them, we're just not acknowledging them, we're just not acknowledging them, right? That that's really the problem.

right? That that's really the problem. right? That that's really the problem. It it's we laugh at you know we watch It it's we laugh at you know we watch It it's we laugh at you know we watch some you know a a sci-fi series like or some you know a a sci-fi series like or some you know a a sci-fi series like or a futuristic um series like uh you know a futuristic um series like uh you know a futuristic um series like uh you know Black Mirror and we laugh and and you Black Mirror and we laugh and and you Black Mirror and we laugh and and you know we freak out on what's being know we freak out on what's being know we freak out on what's being presented and represented there. But I presented and represented there. But I presented and represented there. But I mean the the reality is it is sort of mean the the reality is it is sort of mean the the reality is it is sort of what's happening. Maybe this is just what's happening. Maybe this is just what's happening. Maybe this is just part of that same long continuum that part of that same long continuum that part of that same long continuum that we've been on like you know people will we've been on like you know people will we've been on like you know people will remind you that you know however many remind you that you know however many remind you that you know however many decades ago most let's just talk about decades ago most let's just talk about decades ago most let's just talk about the United States you know it was single the United States you know it was single the United States you know it was single earner household you know and then we earner household you know and then we earner household you know and then we move forward and then it required two move forward and then it required two move forward and then it required two earners the husband and the wife to be earners the husband and the wife to be earners the husband and the wife to be working in order to make ends meet and working in order to make ends meet and working in order to make ends meet and this is just a continuation of that this is just a continuation of that this is just a continuation of that probably you know it seems dystopian But probably you know it seems dystopian But probably you know it seems dystopian But actually it's been this long trend into actually it's been this long trend into actually it's been this long trend into oblivion. You know oblivion. You know oblivion. You know >> think about like Beaver Cle the Cleaver >> think about like Beaver Cle the Cleaver >> think about like Beaver Cle the Cleaver family. family. family. >> Yes. >> Yes. >> Yes. >> What's happening today, >> What's happening today, >> What's happening today, >> right?

>> right? >> right? >> Make a horror film now with the cleaver >> Make a horror film now with the cleaver >> Make a horror film now with the cleaver family. It would be like it would be family. It would be like it would be family. It would be like it would be like watching the Terminator, right? It like watching the Terminator, right? It like watching the Terminator, right? It would would would >> pretty much >> pretty much >> pretty much >> Yeah, >> Yeah, >> Yeah, >> pretty much. >> pretty much. >> pretty much. >> You know, >> You know, >> You know, >> we don't sense it because, you know, >> we don't sense it because, you know, >> we don't sense it because, you know, we're just the the frog in the boiling we're just the the frog in the boiling we're just the the frog in the boiling pot. pot. pot. >> That's right. What do you think, Bill? >> That's right. What do you think, Bill? >> That's right. What do you think, Bill? Are we Does this sound crazy or is this Are we Does this sound crazy or is this Are we Does this sound crazy or is this real? real? real? >> I'm just I'm just I'm like I'm bugging >> I'm just I'm just I'm like I'm bugging >> I'm just I'm just I'm like I'm bugging out because it's like it's like out because it's like it's like out because it's like it's like literally as you as you were saying that literally as you as you were saying that literally as you as you were saying that I'm like I'm like you know what it's I'm like I'm like you know what it's I'm like I'm like you know what it's interesting. I heard a I heard a set of interesting. I heard a I heard a set of interesting. I heard a I heard a set of of I'll say gen alphas, gen alphas of I'll say gen alphas, gen alphas of I'll say gen alphas, gen alphas talking about how screwed they are in talking about how screwed they are in talking about how screwed they are in the future because they can't stand the the future because they can't stand the the future because they can't stand the boomers and the Gen Xers and you know boomers and the Gen Xers and you know boomers and the Gen Xers and you know because they're they had the opportunity because they're they had the opportunity because they're they had the opportunity to buy homes and technology wasn't to buy homes and technology wasn't to buy homes and technology wasn't killing them and all of this other stuff killing them and all of this other stuff killing them and all of this other stuff and they're like you know we are and they're like you know we are and they're like you know we are literally screwed. we can't even afford literally screwed. we can't even afford literally screwed. we can't even afford after college to buy a house. after college to buy a house. after college to buy a house. >> It's a circular thing, right? I mean, >> It's a circular thing, right? I mean, >> It's a circular thing, right? I mean, when you look at the tech that's being when you look at the tech that's being when you look at the tech that's being driven, and Demetri, this is to your driven, and Demetri, this is to your driven, and Demetri, this is to your point when you talk about the youth that point when you talk about the youth that point when you talk about the youth that are there at these open source and all are there at these open source and all are there at these open source and all of these other technology conferences of these other technology conferences of these other technology conferences scrambling to find a way to reach into scrambling to find a way to reach into scrambling to find a way to reach into that cup of money and grab out as much that cup of money and grab out as much that cup of money and grab out as much as they can, which is why we see so much as they can, which is why we see so much as they can, which is why we see so much crap thrown against the wall. How much crap thrown against the wall. How much crap thrown against the wall. How much did it cost 19 in the 70s? So, we're did it cost 19 in the 70s? So, we're did it cost 19 in the 70s? So, we're talking about five decades that we've talking about five decades that we've talking about five decades that we've already gone past. 1970s, you could buy already gone past. 1970s, you could buy already gone past. 1970s, you could buy a house for 30 $36,000.

a house for 30 $36,000. a house for 30 $36,000. >> Y >> Y >> Y >> single family income. Uh minimum income >> single family income. Uh minimum income >> single family income. Uh minimum income minimum wage was be between $1.50 and minimum wage was be between $1.50 and minimum wage was be between $1.50 and $230. $230. $230. >> Yeah, that sounds about right. >> Yeah, that sounds about right. >> Yeah, that sounds about right. >> Right. >> Right. >> Right. >> So, in order for if you were to take and >> So, in order for if you were to take and >> So, in order for if you were to take and this is the argument that they were this is the argument that they were this is the argument that they were making. I love the debate. This is the making. I love the debate. This is the making. I love the debate. This is the argument they were making that the argument they were making that the argument they were making that the boomers are sitting here now saying that boomers are sitting here now saying that boomers are sitting here now saying that the, you know, the the new generation the, you know, the the new generation the, you know, the the new generation just does not want to work hard. And just does not want to work hard. And just does not want to work hard. And they're like, well, what are you talking they're like, well, what are you talking they're like, well, what are you talking about? You guys were the ones that about? You guys were the ones that about? You guys were the ones that bought up all the property and then bought up all the property and then bought up all the property and then pulled up the ladder so that we couldn't pulled up the ladder so that we couldn't pulled up the ladder so that we couldn't climb it. climb it. climb it. >> Yeah. Yeah. Yeah. >> Yeah. Yeah. Yeah. >> Yeah. Yeah. Yeah. >> I'm like, wow, let's go. >> I'm like, wow, let's go. >> I'm like, wow, let's go. >> Wow. I mean, it's a real thing. This is >> Wow. I mean, it's a real thing. This is >> Wow. I mean, it's a real thing. This is very it's very interesting you're saying very it's very interesting you're saying very it's very interesting you're saying beer because I went to an argument with beer because I went to an argument with beer because I went to an argument with some some of my friend friends in France some some of my friend friends in France some some of my friend friends in France very recently because there's this old very recently because there's this old very recently because there's this old debate about you know the the retirement debate about you know the the retirement debate about you know the the retirement age and the retirey people saying oh age and the retirey people saying oh age and the retirey people saying oh we've been working all our life and then we've been working all our life and then we've been working all our life and then now we can't you know you want us to now we can't you know you want us to now we can't you know you want us to work more and why are we doing this and work more and why are we doing this and work more and why are we doing this and my question was wait you know what my question was wait you know what my question was wait you know what you're 60 today how old were you in 42 you're 60 today how old were you in 42 you're 60 today how old were you in 42 years ago you were 18 what happened you years ago you were 18 what happened you years ago you were 18 what happened you turn 18 you get the right to vote so for turn 18 you get the right to vote so for turn 18 you get the right to vote so for 42 years you voted for government that 42 years you voted for government that 42 years you voted for government that get us into this direction and now get us into this direction and now get us into this direction and now you're claiming that it doesn't work and you're claiming that it doesn't work and you're claiming that it doesn't work and it's mad.

it's mad. it's mad. >> Yeah. >> Yeah. >> Yeah. >> Who's wrong there? >> Who's wrong there? >> Who's wrong there? >> I think you know it's interesting you >> I think you know it's interesting you >> I think you know it's interesting you brought this up um Rob because I think brought this up um Rob because I think brought this up um Rob because I think the 50s and the 60s were a really rare the 50s and the 60s were a really rare the 50s and the 60s were a really rare period in modern history. Right. period in modern history. Right. period in modern history. Right. >> But you're talking about the industrial >> But you're talking about the industrial >> But you're talking about the industrial revolution, right? revolution, right? revolution, right? >> Oh, no, no, no. It it was it was post >> Oh, no, no, no. It it was it was post >> Oh, no, no, no. It it was it was post World War II World War II World War II and this golden era in the United States and this golden era in the United States and this golden era in the United States which shaped the vision. I think I it which shaped the vision. I think I it which shaped the vision. I think I it was at that point I think where you know was at that point I think where you know was at that point I think where you know the American dream was really minted the American dream was really minted the American dream was really minted right before it was more like hey we right before it was more like hey we right before it was more like hey we don't we don't want uh don't tread on me don't we don't want uh don't tread on me don't we don't want uh don't tread on me kind of stuff right um but I think it kind of stuff right um but I think it kind of stuff right um but I think it was a really rare moment that shaped the was a really rare moment that shaped the was a really rare moment that shaped the expectations of the world of what the expectations of the world of what the expectations of the world of what the the United States stood for at that the United States stood for at that the United States stood for at that point because you know think about that point because you know think about that point because you know think about that single family income come home. You single family income come home. You single family income come home. You could have a car. Um you can have a could have a car. Um you can have a could have a car. Um you can have a house. Your wife didn't have to work.

house. Your wife didn't have to work. house. Your wife didn't have to work. And it was like literally, you know, And it was like literally, you know, And it was like literally, you know, sort of this beaver cleaver, you know. sort of this beaver cleaver, you know. sort of this beaver cleaver, you know. >> Yeah. >> Yeah. >> Yeah. >> It's a beaver type of >> It's a beaver type of >> It's a beaver type of >> Yeah. >> Yeah. >> Yeah. >> thing, right? >> thing, right? >> thing, right? >> Right. >> Right. >> Right. >> And um >> And um >> And um >> Yeah. You know, the thing is is that um >> Yeah. You know, the thing is is that um >> Yeah. You know, the thing is is that um if you go to other countries like even if you go to other countries like even if you go to other countries like even the UK, I mean, yeah, they they've the UK, I mean, yeah, they they've the UK, I mean, yeah, they they've already they the younger generations already they the younger generations already they the younger generations never really had the opportunity to buy never really had the opportunity to buy never really had the opportunity to buy property because property because property because there's all the I mean basically there's all the I mean basically there's all the I mean basically landlords, landlords, landlords, you know, age-old landlords. I mean you know, age-old landlords. I mean you know, age-old landlords. I mean people who have rights fundamental um people who have rights fundamental um people who have rights fundamental um you know multi-generational you know multi-generational you know multi-generational rights to property right you know rights to property right you know rights to property right you know freehold they have like um where all the freehold they have like um where all the freehold they have like um where all the different modalities of property different modalities of property different modalities of property >> I think more than more than three >> I think more than more than three >> I think more than more than three >> three quarter of London is still >> three quarter of London is still >> three quarter of London is still detained by like three big families and detained by like three big families and detained by like three big families and you don't buy a house you buy a lease you don't buy a house you buy a lease you don't buy a house you buy a lease for 99 years for 99 years for 99 years >> 99 years or something like that yeah >> 99 years or something like that yeah >> 99 years or something like that yeah >> but you have something similar happening >> but you have something similar happening >> but you have something similar happening everywhere I Yeah. Yeah. No, but that's everywhere I Yeah. Yeah. No, but that's everywhere I Yeah. Yeah. No, but that's that's what's happening now is in the US that's what's happening now is in the US that's what's happening now is in the US because there's all these now REITs and because there's all these now REITs and because there's all these now REITs and uh you know private investors who buy up uh you know private investors who buy up uh you know private investors who buy up billions if not you know hundreds of billions if not you know hundreds of billions if not you know hundreds of billions of um dollars in property you billions of um dollars in property you billions of um dollars in property you know.

know. know. >> Sure. Sure. I mean I for me again I I >> Sure. Sure. I mean I for me again I I >> Sure. Sure. I mean I for me again I I it's really simplified and this was the it's really simplified and this was the it's really simplified and this was the conversation that I was having with him conversation that I was having with him conversation that I was having with him was that you know the industrial was that you know the industrial was that you know the industrial revolutions were the things that were revolutions were the things that were revolutions were the things that were triggering a lot of these things from triggering a lot of these things from triggering a lot of these things from the first to the second to the third and the first to the second to the third and the first to the second to the third and now we're in the fourth now we're in the fourth now we're in the fourth and and in each you can you can and and in each you can you can and and in each you can you can literally look at those periods of time literally look at those periods of time literally look at those periods of time granted there were a number of years granted there were a number of years granted there were a number of years associated with it but you can look at associated with it but you can look at associated with it but you can look at this trajectory that has not backed this trajectory that has not backed this trajectory that has not backed down. down. down. >> Yeah. So >> Yeah. So >> Yeah. So the best thing is to and and we always the best thing is to and and we always the best thing is to and and we always you we get into the we got into this you we get into the we got into this you we get into the we got into this conversation. So it wasn't all conversation. So it wasn't all conversation. So it wasn't all techdriven. This was a humanity techdriven. This was a humanity techdriven. This was a humanity conversation conversation conversation that that was predicated on that that was predicated on that that was predicated on generational wealth. generational wealth. generational wealth. >> Yeah. >> Yeah. >> Yeah. >> How do you go from point A to point B? >> How do you go from point A to point B? >> How do you go from point A to point B? Um, and and I I think I think it's I Um, and and I I think I think it's I Um, and and I I think I think it's I think it's still indeed the case, but think it's still indeed the case, but think it's still indeed the case, but they're blaming it's not the blame on they're blaming it's not the blame on they're blaming it's not the blame on the generations. It's the it's those the generations. It's the it's those the generations. It's the it's those that were within those specific that were within those specific that were within those specific generations, the boomers generations, the boomers generations, the boomers >> and everything that took advantage of it >> and everything that took advantage of it >> and everything that took advantage of it >> and now are being seen as exploiting it >> and now are being seen as exploiting it >> and now are being seen as exploiting it >> because I'm like, well, wait a minute, >> because I'm like, well, wait a minute, >> because I'm like, well, wait a minute, you know, it's it's it's not going to you know, it's it's it's not going to you know, it's it's it's not going to change. You're not going to go back.

change. You're not going to go back. change. You're not going to go back. Yeah. Yeah. Yeah. >> I mean, we're we're we we benefited from >> I mean, we're we're we we benefited from >> I mean, we're we're we we benefited from the golden, you know, the decline of the the golden, you know, the decline of the the golden, you know, the decline of the golden age. golden age. golden age. >> Yeah. I mean, you know, it it it's it's >> Yeah. I mean, you know, it it it's it's >> Yeah. I mean, you know, it it it's it's to to me when I look at it and I you to to me when I look at it and I you to to me when I look at it and I you know, the people are like, "Well, who do know, the people are like, "Well, who do know, the people are like, "Well, who do you think had the most advantage?" I'm you think had the most advantage?" I'm you think had the most advantage?" I'm going to say that Gen X probably had the going to say that Gen X probably had the going to say that Gen X probably had the greatest advantage. greatest advantage. greatest advantage. >> Yeah. >> Yeah. >> Yeah. >> Gen X probably had the greatest. Why? >> Gen X probably had the greatest. Why? >> Gen X probably had the greatest. Why? because we saw what they're dealing with because we saw what they're dealing with because we saw what they're dealing with now come in come to fruition. now come in come to fruition. now come in come to fruition. We went from pagers to the brick cell We went from pagers to the brick cell We went from pagers to the brick cell phones to the flip phones to the iPhones phones to the flip phones to the iPhones phones to the flip phones to the iPhones to I mean we saw all of these to I mean we saw all of these to I mean we saw all of these technological advances take place. technological advances take place. technological advances take place. >> We didn't just see it, Bill. We >> We didn't just see it, Bill. We >> We didn't just see it, Bill. We >> we did it. >> we did it. >> we did it. >> We invented it. >> We invented it. >> We invented it. >> Yeah. >> Yeah. >> Yeah. >> We created it. >> We created it. >> We created it. >> We created the modern world. >> We created the modern world. >> We created the modern world. >> Yeah. You created the internet and IoT. >> Yeah. You created the internet and IoT. >> Yeah. You created the internet and IoT. You're welcome every You're welcome every You're welcome every architect, dude.

architect, dude. architect, dude. >> But I mean, but it's >> But I mean, but it's >> But I mean, but it's >> And if you're not if you're not happy, >> And if you're not if you're not happy, >> And if you're not if you're not happy, go talk to your digital twin. go talk to your digital twin. go talk to your digital twin. >> Oh, yeah. >> Oh, yeah. >> Oh, yeah. >> And if you need a friend, get a dog. >> And if you need a friend, get a dog. >> And if you need a friend, get a dog. >> I mean, but look at look at look at all >> I mean, but look at look at look at all >> I mean, but look at look at look at all of those things. It's it's I have such of those things. It's it's I have such of those things. It's it's I have such for me it they're they're not they're for me it they're they're not they're for me it they're they're not they're not, you know, who's right, who's wrong. not, you know, who's right, who's wrong. not, you know, who's right, who's wrong. their enlightening conversations about their enlightening conversations about their enlightening conversations about the truth of what they're dealing with the truth of what they're dealing with the truth of what they're dealing with >> and and and it's like we can talk um you >> and and and it's like we can talk um you >> and and and it's like we can talk um you know we can talk here all about the know we can talk here all about the know we can talk here all about the technology advances and what's next and technology advances and what's next and technology advances and what's next and who's you know who's wrong and who's you know who's wrong and who's you know who's wrong and everything like that but we spin it everything like that but we spin it everything like that but we spin it around to look at the human impact. around to look at the human impact. around to look at the human impact. >> Yeah. >> Yeah. >> Yeah. >> And and it's like wow you know what we >> And and it's like wow you know what we >> And and it's like wow you know what we don't have that conversation and we don't have that conversation and we don't have that conversation and we should should should >> Yeah. Yeah. >> Yeah. Yeah. >> Yeah. Yeah. >> Wow. >> Wow. >> Wow. >> Yeah. We should. >> Yeah. We should. >> Yeah. We should. >> Is my life gonna change for the better >> Is my life gonna change for the better >> Is my life gonna change for the better with the update to beta 4, which is also with the update to beta 4, which is also with the update to beta 4, which is also known as the first public beta, I guess. known as the first public beta, I guess. known as the first public beta, I guess. Actually, you know what? It's pretty Actually, you know what? It's pretty Actually, you know what? It's pretty good. You're glad though that you didn't good. You're glad though that you didn't good. You're glad though that you didn't um you didn't install the developer beta um you didn't install the developer beta um you didn't install the developer beta because it was it was a little bit um because it was it was a little bit um because it was it was a little bit um clunky in terms clunky in terms clunky in terms >> I did all I did all three developer >> I did all I did all three developer >> I did all I did all three developer betas.

betas. betas. >> Oh, you did? Did you have issues? >> Oh, you did? Did you have issues? >> Oh, you did? Did you have issues? >> The very next day after the launch, I >> The very next day after the launch, I >> The very next day after the launch, I did the developer beta. Yeah. did the developer beta. Yeah. did the developer beta. Yeah. Absolutely. I like it. It's growing on Absolutely. I like it. It's growing on Absolutely. I like it. It's growing on me. It's growing on me. And I was me. It's growing on me. And I was me. It's growing on me. And I was surprised at how many um intelligence surprised at how many um intelligence surprised at how many um intelligence functions. They're narrow, small. Um but functions. They're narrow, small. Um but functions. They're narrow, small. Um but they're they're kind of cool. Um they're they're kind of cool. Um they're they're kind of cool. Um >> that's cool. >> that's cool. >> that's cool. >> What do you use them for? >> What do you use them for? >> What do you use them for? >> What do you mean? Oh, do you mean the >> What do you mean? Oh, do you mean the >> What do you mean? Oh, do you mean the >> Oh, no. He's asking a hard question. >> Oh, no. He's asking a hard question. >> Oh, no. He's asking a hard question. Stop. >> Stop being a smartass, Bill. No, >> Stop being a smartass, Bill. No, >> no. Um some of some of the summarization >> no. Um some of some of the summarization >> no. Um some of some of the summarization uh things uh things uh things That's what is good at. That's what is good at. That's what is good at. >> Yeah, with a grain of salt. They they're >> Yeah, with a grain of salt. They they're >> Yeah, with a grain of salt. They they're not perfect, but at least they not perfect, but at least they not perfect, but at least they um they do a semidecent job of keywords um they do a semidecent job of keywords um they do a semidecent job of keywords to identify whether or not a message or to identify whether or not a message or to identify whether or not a message or a or a email is important, right? Um, I a or a email is important, right? Um, I a or a email is important, right? Um, I I still don't trust it with the news I still don't trust it with the news I still don't trust it with the news app, news summarization, because it it app, news summarization, because it it app, news summarization, because it it still does a goofy job, but they put a still does a goofy job, but they put a still does a goofy job, but they put a disclaimer on there that it's like it disclaimer on there that it's like it disclaimer on there that it's like it can it can twist um what the articles can it can twist um what the articles can it can twist um what the articles imply. So, check the articles for facts imply. So, check the articles for facts imply. So, check the articles for facts type of disclaimer, right? Um, type of disclaimer, right? Um, type of disclaimer, right? Um, >> #facts.

>> #facts. >> #facts. >> Yeah. But, you know, the thing is is I I >> Yeah. But, you know, the thing is is I I >> Yeah. But, you know, the thing is is I I did turn on chat GPT and you know what, did turn on chat GPT and you know what, did turn on chat GPT and you know what, I have Samsung I have Samsung I have Samsung um and I use Gemini. um and I use Gemini. um and I use Gemini. There's like almost no freaking There's like almost no freaking There's like almost no freaking difference. And so when people say Apple difference. And so when people say Apple difference. And so when people say Apple is behind, it's like, okay, a behind in is behind, it's like, okay, a behind in is behind, it's like, okay, a behind in what? Because they literally freaking do what? Because they literally freaking do what? Because they literally freaking do the same right? It's just that the same right? It's just that the same right? It's just that Apple stuff is pretty much all Apple stuff is pretty much all Apple stuff is pretty much all integrated into uh the operating system, integrated into uh the operating system, integrated into uh the operating system, right? I mean, but it it really comes. right? I mean, but it it really comes. right? I mean, but it it really comes. So, I mean, you cannot count if you So, I mean, you cannot count if you So, I mean, you cannot count if you looked at and if you if someone were to looked at and if you if someone were to looked at and if you if someone were to create an ontology of applications that create an ontology of applications that create an ontology of applications that are out there and the verticals where are out there and the verticals where are out there and the verticals where they're used, you would be inundated and they're used, you would be inundated and they're used, you would be inundated and it would take you the rest of the next it would take you the rest of the next it would take you the rest of the next 10 years to work your way through them 10 years to work your way through them 10 years to work your way through them to provide any type of assessment as to to provide any type of assessment as to to provide any type of assessment as to whether or not it's useful. whether or not it's useful. whether or not it's useful. >> Yeah. Yeah. But you know, here Rob, I >> Yeah. Yeah. But you know, here Rob, I >> Yeah. Yeah. But you know, here Rob, I don't know if you're encountering this, don't know if you're encountering this, don't know if you're encountering this, but um I'm getting like alert fatigue.

but um I'm getting like alert fatigue. but um I'm getting like alert fatigue. [Music] [Music] [Music] >> You're getting notified constantly to >> You're getting notified constantly to >> You're getting notified constantly to the point where you literally you can't the point where you literally you can't the point where you literally you can't focus. And I've had to shut off a lot of focus. And I've had to shut off a lot of focus. And I've had to shut off a lot of these um you know, proactive these um you know, proactive these um you know, proactive personalized notification stuff like personalized notification stuff like personalized notification stuff like hey, you know, a lot of stuff I don't hey, you know, a lot of stuff I don't hey, you know, a lot of stuff I don't >> that's what we found with this >> that's what we found with this >> that's what we found with this right now, you know? We found in right now, you know? We found in right now, you know? We found in factories and all that kind of factories and all that kind of factories and all that kind of industrial stuff early days of systems industrial stuff early days of systems industrial stuff early days of systems and then IoT and stuff like that, you and then IoT and stuff like that, you and then IoT and stuff like that, you know, all based on thresholds and alerts know, all based on thresholds and alerts know, all based on thresholds and alerts and people were getting so many alerts and people were getting so many alerts and people were getting so many alerts and what do you do when you get too and what do you do when you get too and what do you do when you get too many? You just kind of turn it off and many? You just kind of turn it off and many? You just kind of turn it off and you don't listen anymore, which is then you don't listen anymore, which is then you don't listen anymore, which is then why we came up with streaming analytics. why we came up with streaming analytics. why we came up with streaming analytics. We came out with windowing functions We came out with windowing functions We came out with windowing functions which says during this 5 minute period which says during this 5 minute period which says during this 5 minute period and I'm getting these anomalies or and I'm getting these anomalies or and I'm getting these anomalies or whatever if over five minutes is the whatever if over five minutes is the whatever if over five minutes is the average enough then yes I'll give you an average enough then yes I'll give you an average enough then yes I'll give you an alert but I'm not going to give it to alert but I'm not going to give it to alert but I'm not going to give it to you speriously like that you know it's interesting because I haven't it's interesting because I haven't looked at this beta but this to me this looked at this beta but this to me this looked at this beta but this to me this this would be an ideal use case of AI I this would be an ideal use case of AI I this would be an ideal use case of AI I would like to be able to talk to AI at would like to be able to talk to AI at would like to be able to talk to AI at my lunch. Hey, what's really important my lunch. Hey, what's really important my lunch. Hey, what's really important in all those 2000 million alerts that in all those 2000 million alerts that in all those 2000 million alerts that I've received this morning?

I've received this morning? I've received this morning? >> And it should be good at that. >> And it should be good at that. >> And it should be good at that. >> You're right. That's a good point. >> You're right. That's a good point. >> You're right. That's a good point. >> Oh, most of it is But hey, >> Oh, most of it is But hey, >> Oh, most of it is But hey, your bank called because there's this your bank called because there's this your bank called because there's this $5,000 wire that $5,000 wire that $5,000 wire that >> I don't I don't I don't know. It depends >> I don't I don't I don't know. It depends >> I don't I don't I don't know. It depends if it really can model your intent and if it really can model your intent and if it really can model your intent and then use that in predicting and then then use that in predicting and then then use that in predicting and then uh contextualizing the request, right? uh contextualizing the request, right? uh contextualizing the request, right? Outside of that, I don't think it it's Outside of that, I don't think it it's Outside of that, I don't think it it's just going to spit out what you know just going to spit out what you know just going to spit out what you know generative AI typically spits out, which generative AI typically spits out, which generative AI typically spits out, which is just is just is just >> Oh, wait a second. I just had an >> Oh, wait a second. I just had an >> Oh, wait a second. I just had an epiphany epiphany epiphany >> thanks to thanks to Bill. So when we're >> thanks to thanks to Bill. So when we're >> thanks to thanks to Bill. So when we're talking about this transition and the talking about this transition and the talking about this transition and the evolution and how basically we created evolution and how basically we created evolution and how basically we created all this stuff because we're geniuses. all this stuff because we're geniuses. all this stuff because we're geniuses. >> We did that. >> We did that. >> We did that. >> But then now we're dealing with the >> But then now we're dealing with the >> But then now we're dealing with the fallout and Bill's made that crystal fallout and Bill's made that crystal fallout and Bill's made that crystal clear. And so when we kind of joke clear. And so when we kind of joke clear. And so when we kind of joke about, you know, creating the matrix and about, you know, creating the matrix and about, you know, creating the matrix and everything and plugging all the people everything and plugging all the people everything and plugging all the people in, it just hit me now. We actually owe in, it just hit me now. We actually owe in, it just hit me now. We actually owe it to the next generation to create the it to the next generation to create the it to the next generation to create the matrix. It's not just something that matrix. It's not just something that matrix. It's not just something that we're going to, hey, maybe I'll do this.

we're going to, hey, maybe I'll do this. we're going to, hey, maybe I'll do this. Actually, we are now required to build Actually, we are now required to build Actually, we are now required to build the matrix because we screwed all these the matrix because we screwed all these the matrix because we screwed all these subsequent generations with all this subsequent generations with all this subsequent generations with all this tech and now they have no life, nowhere tech and now they have no life, nowhere tech and now they have no life, nowhere to live, can't afford anything, they to live, can't afford anything, they to live, can't afford anything, they have half a million dollars in student have half a million dollars in student have half a million dollars in student loans. And so, actually, it's on us. We loans. And so, actually, it's on us. We loans. And so, actually, it's on us. We are required to build the matrix and are required to build the matrix and are required to build the matrix and plug them all in there. Give them an plug them all in there. Give them an plug them all in there. Give them an Apple Vision Pro headset, slow a slow IV Apple Vision Pro headset, slow a slow IV Apple Vision Pro headset, slow a slow IV drip to just barely keep them alive, you drip to just barely keep them alive, you drip to just barely keep them alive, you know, and and they're going to have a know, and and they're going to have a know, and and they're going to have a better life that way because they'll be better life that way because they'll be better life that way because they'll be like hang gliding in Hawaii and they'll like hang gliding in Hawaii and they'll like hang gliding in Hawaii and they'll be doing cool stuff instead of living be doing cool stuff instead of living be doing cool stuff instead of living out on the streets. So, I feel the out on the streets. So, I feel the out on the streets. So, I feel the pressure, the weight of the world is now pressure, the weight of the world is now pressure, the weight of the world is now on my shoulders. on my shoulders. on my shoulders. >> And I know right after this call, I'm >> And I know right after this call, I'm >> And I know right after this call, I'm going to start designing the Matrix V1. going to start designing the Matrix V1. going to start designing the Matrix V1. >> You're actually MVP. An MVP of the >> You're actually MVP. An MVP of the >> You're actually MVP. An MVP of the Matrix. Matrix. Matrix. >> The version one. Dude, you were destined >> The version one. Dude, you were destined >> The version one. Dude, you were destined to do this. to do this. to do this. >> It's my destiny. But we got to start >> It's my destiny. But we got to start >> It's my destiny. But we got to start somewhere. So, it's going to be an MVP somewhere. So, it's going to be an MVP somewhere. So, it's going to be an MVP of the Matrix.

of the Matrix. of the Matrix. >> Rob, >> Rob, >> Rob, >> for my chair here is more >> for my chair here is more >> for my chair here is more for my chair. It's more Rob's ego for my chair. It's more Rob's ego for my chair. It's more Rob's ego transforming into hunger for power. transforming into hunger for power. transforming into hunger for power. That's what I'm reading. That's what I'm reading. That's what I'm reading. >> That's what I'm saying. >> That's what I'm saying. >> That's what I'm saying. >> I'm a servant to humanity. >> I'm a servant to humanity. >> I'm a servant to humanity. >> Yeah, >> Yeah, >> Yeah, >> I am here to help. >> I am here to help. >> I am here to help. >> The best way to service is to control. I >> The best way to service is to control. I >> The best way to service is to control. I agree. agree. agree. >> I got a whole different take on it. I >> I got a whole different take on it. I >> I got a whole different take on it. I mean, my my goal is I'm going to sell mean, my my goal is I'm going to sell mean, my my goal is I'm going to sell off one company. I'm going to turn over off one company. I'm going to turn over off one company. I'm going to turn over the second company to my kids. and and then I will hire someone in and and then I will hire someone in between my kids and my age to do what I between my kids and my age to do what I between my kids and my age to do what I do. They're going to be on the board do. They're going to be on the board do. They're going to be on the board and it's up to them at that point. I'm and it's up to them at that point. I'm and it's up to them at that point. I'm like, you got a you got a salary as like, you got a you got a salary as like, you got a you got a salary as well. You don't have to work for anybody well. You don't have to work for anybody well. You don't have to work for anybody but yourselves. but yourselves. but yourselves. So, let's go back to the days where it So, let's go back to the days where it So, let's go back to the days where it was the mom and pop shops and it wasn't was the mom and pop shops and it wasn't was the mom and pop shops and it wasn't about, you know, I have to go get seven about, you know, I have to go get seven about, you know, I have to go get seven degrees so that I can go to work for degrees so that I can go to work for degrees so that I can go to work for company XYZ so that I can have a job, company XYZ so that I can have a job, company XYZ so that I can have a job, which is a three-letter acronym for just which is a three-letter acronym for just which is a three-letter acronym for just over broke.

over broke. over broke. >> Boom. >> Boom. >> Boom. >> Yeah. But you know what? Hey, look. I >> Yeah. But you know what? Hey, look. I >> Yeah. But you know what? Hey, look. I think think think I I actually want my kids not to be too I I actually want my kids not to be too I I actually want my kids not to be too pampered. Um I think pampered. Um I think pampered. Um I think >> struggle struggle, you know, I have no I >> struggle struggle, you know, I have no I >> struggle struggle, you know, I have no I there's ways um but yeah, the the world there's ways um but yeah, the the world there's ways um but yeah, the the world is going to be really rough. is going to be really rough. is going to be really rough. >> You know, the last 10 or >> You know, the last 10 or >> You know, the last 10 or >> last 10 or 15 years, what were we >> last 10 or 15 years, what were we >> last 10 or 15 years, what were we telling young people to do? Hey, go to telling young people to do? Hey, go to telling young people to do? Hey, go to that coding boot camp and become a that coding boot camp and become a that coding boot camp and become a software developer. You'll be set for software developer. You'll be set for software developer. You'll be set for life making six figures. Oh, ouch. Oh, life making six figures. Oh, ouch. Oh, life making six figures. Oh, ouch. Oh, wow. Sorry that we pulled the rug out wow. Sorry that we pulled the rug out wow. Sorry that we pulled the rug out from under that with AI from under that with AI from under that with AI >> as hell. None of my kids none of my kids >> as hell. None of my kids none of my kids >> as hell. None of my kids none of my kids are tech ccentric. None of them none of are tech ccentric. None of them none of are tech ccentric. None of them none of them went to my My oldest is a tree them went to my My oldest is a tree them went to my My oldest is a tree hugger. I mean, she's all about saving hugger. I mean, she's all about saving hugger. I mean, she's all about saving the environment. My middle one wants to the environment. My middle one wants to the environment. My middle one wants to psychoanalyze psychoanalyze psychoanalyze the community the community the community and my my little one is my my youngest and my my little one is my my youngest and my my little one is my my youngest who's 15 is is like I haven't figured it who's 15 is is like I haven't figured it who's 15 is is like I haven't figured it out yet but I still got a little time.

out yet but I still got a little time. out yet but I still got a little time. >> Yeah. >> Yeah. >> Yeah. >> Wants nothing to do with what I do. >> Wants nothing to do with what I do. >> Wants nothing to do with what I do. >> Yeah. >> Yeah. >> Yeah. >> Same same with me. >> Same same with me. >> Same same with me. >> She she's interested in libraries. >> She she's interested in libraries. >> She she's interested in libraries. >> Yeah. I mean I think those are I I'm >> Yeah. I mean I think those are I I'm >> Yeah. I mean I think those are I I'm like I'm supportive of those things. like I'm supportive of those things. like I'm supportive of those things. I am 100% supportive of those things. I am 100% supportive of those things. I am 100% supportive of those things. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> If you'd like to be a diesel engine >> If you'd like to be a diesel engine >> If you'd like to be a diesel engine mechanic, go do it. I'm all in. You want mechanic, go do it. I'm all in. You want mechanic, go do it. I'm all in. You want to be a HVAC person? to be a HVAC person? to be a HVAC person? >> Yeah. But instead of leaving them quote >> Yeah. But instead of leaving them quote >> Yeah. But instead of leaving them quote unquote millions of dollars that they unquote millions of dollars that they unquote millions of dollars that they can just run through because of can just run through because of can just run through because of lifestyles, you know, on Tik Tok and lifestyles, you know, on Tik Tok and lifestyles, you know, on Tik Tok and Instagram, Instagram, Instagram, >> leaving them in a position where they >> leaving them in a position where they >> leaving them in a position where they have an influx of cash that is a legacy have an influx of cash that is a legacy have an influx of cash that is a legacy builder. builder. builder. >> For me, I'm like >> For me, I'm like >> For me, I'm like >> a landlord. That's what land is all >> a landlord. That's what land is all >> a landlord. That's what land is all about. about. about. >> That's it. >> That's it. >> That's it. >> Property, >> Property, >> Property, >> you know, >> you know, >> you know, >> it's the only thing that lasts, as they >> it's the only thing that lasts, as they >> it's the only thing that lasts, as they said in um who was it? Um Scarlett said in um who was it? Um Scarlett said in um who was it? Um Scarlett O'Hara's father, right? And Gone with O'Hara's father, right? And Gone with O'Hara's father, right? And Gone with the Wind. It's the only thing that the Wind. It's the only thing that the Wind. It's the only thing that lasts.

lasts. lasts. So, So, So, >> until they came up with this thing >> until they came up with this thing >> until they came up with this thing called imminent domain. called imminent domain. called imminent domain. >> Ouch. >> Ouch. >> Ouch. >> Ouch. >> Ouch. >> Ouch. >> I know. I know. >> I know. I know. >> I know. I know. >> Sorry. We're taking it anyway. >> Sorry. We're taking it anyway. >> Sorry. We're taking it anyway. >> Yeah. Yeah. >> Yeah. Yeah. >> Yeah. Yeah. So, So, So, >> anyway, >> anyway, >> anyway, >> this has been a really cheerful episode >> this has been a really cheerful episode >> this has been a really cheerful episode >> like really >> like really >> like really >> reality real. Look, I said I speak >> reality real. Look, I said I speak >> reality real. Look, I said I speak English, profanity, sarcasm, and some English, profanity, sarcasm, and some English, profanity, sarcasm, and some real And we got some real real And we got some real real And we got some real today, didn't we? today, didn't we? today, didn't we? >> We got some real And we owe you >> We got some real And we owe you >> We got some real And we owe you the Matrix. the Matrix. the Matrix. >> That's your destiny is to be plugged in >> That's your destiny is to be plugged in >> That's your destiny is to be plugged in and having a better life in the Matrix. and having a better life in the Matrix. and having a better life in the Matrix. and it's up to us to build it. And so and it's up to us to build it. And so and it's up to us to build it. And so we're going to get that MVP and anybody we're going to get that MVP and anybody we're going to get that MVP and anybody wants to sign up for the MVP. And it'll wants to sign up for the MVP. And it'll wants to sign up for the MVP. And it'll be a little different than a software be a little different than a software be a little different than a software MVP cuz you'll have to like get into a MVP cuz you'll have to like get into a MVP cuz you'll have to like get into a pod, a primitive early pod. We'll pod, a primitive early pod. We'll pod, a primitive early pod. We'll probably use like a Pine Box coffin to probably use like a Pine Box coffin to probably use like a Pine Box coffin to start out with, but that'll be like part start out with, but that'll be like part start out with, but that'll be like part of the alpha testing, you know, for the of the alpha testing, you know, for the of the alpha testing, you know, for the MVP. So come in and sign up.

MVP. So come in and sign up. MVP. So come in and sign up. Hopefully you won't die. Oh my god. Oh my god. >> Oh man. >> Oh man. >> Oh man. >> Well, you know what? Needless to say, we >> Well, you know what? Needless to say, we >> Well, you know what? Needless to say, we earned that e uh for this episode. So, earned that e uh for this episode. So, earned that e uh for this episode. So, it's wonderful. it's wonderful. it's wonderful. >> We did. We did. >> We did. We did. >> We did. We did. >> Please do not let your children watch >> Please do not let your children watch >> Please do not let your children watch this episode. But, ironically, we're this episode. But, ironically, we're this episode. But, ironically, we're trying to help. That's the That's the trying to help. That's the That's the trying to help. That's the That's the thing is you have to thrash through thing is you have to thrash through thing is you have to thrash through this. this. this. >> We are futurists. >> We are futurists. >> We are futurists. >> Yeah. Yeah. Dirty laundry to get to >> Yeah. Yeah. Dirty laundry to get to >> Yeah. Yeah. Dirty laundry to get to something that something that something that looks uh workable and decent. Um looks uh workable and decent. Um looks uh workable and decent. Um >> kick them when they're up, kick them >> kick them when they're up, kick them >> kick them when they're up, kick them when they're down, you know. Um yeah, when they're down, you know. Um yeah, when they're down, you know. Um yeah, dirty laundry. dirty laundry. dirty laundry. >> Dirty laundry. You don't have any dirty >> Dirty laundry. You don't have any dirty >> Dirty laundry. You don't have any dirty laundry conversations I've had recently. laundry conversations I've had recently. laundry conversations I've had recently. It's It's freaking It's It's freaking It's It's freaking >> crazy. >> crazy. >> crazy. >> What happens underneath? Yeah. Anyway. Yeah. Anyway. >> Anyway, is everybody gonna have a great >> Anyway, is everybody gonna have a great >> Anyway, is everybody gonna have a great weekend? weekend? weekend? >> Yeah. On that note, on big plans, you >> Yeah. On that note, on big plans, you >> Yeah. On that note, on big plans, you know.

know. know. >> Yeah. Building the matrix. >> Yeah. Building the matrix. >> Yeah. Building the matrix. >> Yeah. No, it's going to be fun. I think >> Yeah. No, it's going to be fun. I think >> Yeah. No, it's going to be fun. I think so. so. so. >> Yeah. >> Yeah. >> Yeah. >> And so we'll we'll actually need >> And so we'll we'll actually need >> And so we'll we'll actually need mechanical engineers as well, industrial mechanical engineers as well, industrial mechanical engineers as well, industrial engineers and everything because we got engineers and everything because we got engineers and everything because we got to build this thing. But what I was to build this thing. But what I was to build this thing. But what I was thinking is we'll go find like in the thinking is we'll go find like in the thinking is we'll go find like in the crappy part of town where there's like crappy part of town where there's like crappy part of town where there's like burned out warehouses, we'll use burned out warehouses, we'll use burned out warehouses, we'll use something like that. We're going to need something like that. We're going to need something like that. We're going to need some electricity. Um, you know, and some electricity. Um, you know, and some electricity. Um, you know, and primitive versions, the V1 or MVP pods primitive versions, the V1 or MVP pods primitive versions, the V1 or MVP pods to put people in, to put people in, to put people in, >> maybe some kind of IV drip, something >> maybe some kind of IV drip, something >> maybe some kind of IV drip, something vitamins to keep them alive. I don't vitamins to keep them alive. I don't vitamins to keep them alive. I don't know. Something just just barely. Not I know. Something just just barely. Not I know. Something just just barely. Not I don't want it to be too good for them. don't want it to be too good for them. don't want it to be too good for them. Um, probably won't be able to afford Um, probably won't be able to afford Um, probably won't be able to afford aable Vision Pros for this MVP. We might aable Vision Pros for this MVP. We might aable Vision Pros for this MVP. We might get the Remember when Samsung had like get the Remember when Samsung had like get the Remember when Samsung had like the cardboard VR thing? the cardboard VR thing? the cardboard VR thing? >> Oh, yeah. We can use old cell phones. >> Oh, yeah. We can use old cell phones. >> Oh, yeah. We can use old cell phones. Yeah, it's a good idea. Just old cell Yeah, it's a good idea. Just old cell Yeah, it's a good idea. Just old cell phones on it. You know, we got phones on it. You know, we got phones on it. You know, we got >> Yeah, you could use three. >> Yeah, you could use three. >> Yeah, you could use three. >> Yeah, >> Yeah, >> Yeah, >> those are pretty cheap. They're highly >> those are pretty cheap. They're highly >> those are pretty cheap. They're highly subsidized. So, subsidized. So, subsidized. So, >> yeah, you have to you have to pen a >> yeah, you have to you have to pen a >> yeah, you have to you have to pen a partnership with Meta to make all this partnership with Meta to make all this partnership with Meta to make all this stuff happen. And hey, the metaverse is stuff happen. And hey, the metaverse is stuff happen. And hey, the metaverse is real.

real. real. >> We're making the metaverse. >> We're making the metaverse. >> We're making the metaverse. >> Making the metaverse. It's just >> Making the metaverse. It's just >> Making the metaverse. It's just >> remember when we're all said and done, >> remember when we're all said and done, >> remember when we're all said and done, our tagline for this new technology is our tagline for this new technology is our tagline for this new technology is people are going to go, I choose the people are going to go, I choose the people are going to go, I choose the Matrix. Matrix. Matrix. >> Give me the give me the blue pill. So, >> Give me the give me the blue pill. So, >> Give me the give me the blue pill. So, I'm eating the steak. I'm eating the steak. I'm eating the steak. >> We need some hats. >> We need some hats. >> We need some hats. >> Hats. I chose the Matrix. >> Hats. I chose the Matrix. >> Hats. I chose the Matrix. >> How do the machines know what a steak is >> How do the machines know what a steak is >> How do the machines know what a steak is supposed to taste like? supposed to taste like? supposed to taste like? >> Everything tastes like chicken anyway. >> Everything tastes like chicken anyway. >> Everything tastes like chicken anyway. >> That's right. >> That's right. >> That's right. >> All right. All right. Who wants to take >> All right. All right. Who wants to take >> All right. All right. Who wants to take us out? us out? us out? >> All right. Thanks for everyone joining >> All right. Thanks for everyone joining >> All right. Thanks for everyone joining today for the most hopeful vers, you today for the most hopeful vers, you today for the most hopeful vers, you know, episode ever of IoT Coffee Talk. know, episode ever of IoT Coffee Talk. know, episode ever of IoT Coffee Talk. We're here giving you that bright vision We're here giving you that bright vision We're here giving you that bright vision of the future. You were previously of the future. You were previously of the future. You were previously thinking you had no future, no plans, thinking you had no future, no plans, thinking you had no future, no plans, you can't afford a house. You can't get you can't afford a house. You can't get you can't afford a house. You can't get a job. That coding boot camp you went a job. That coding boot camp you went a job. That coding boot camp you went to, that didn't pay off. I hope you to, that didn't pay off. I hope you to, that didn't pay off. I hope you didn't spend too much money on that. You didn't spend too much money on that. You didn't spend too much money on that. You probably did. And uh and now you're out probably did. And uh and now you're out probably did. And uh and now you're out on the streets, you know, picking up on the streets, you know, picking up on the streets, you know, picking up scraps, but we brought hope, a new world scraps, but we brought hope, a new world scraps, but we brought hope, a new world vision for you. We apologize. Gen X vision for you. We apologize. Gen X vision for you. We apologize. Gen X apologizes for inventing this whole apologizes for inventing this whole apologizes for inventing this whole amazing word because we're so smart. We amazing word because we're so smart. We amazing word because we're so smart. We didn't know what to do with all this didn't know what to do with all this didn't know what to do with all this talent and so we just built the entire talent and so we just built the entire talent and so we just built the entire modern world. But we realized maybe modern world. But we realized maybe modern world. But we realized maybe there was a little bit of a problem. We there was a little bit of a problem. We there was a little bit of a problem. We own everything. You got nothing and own everything. You got nothing and own everything. You got nothing and stuff like that. We created AI taking stuff like that. We created AI taking stuff like that. We created AI taking it. So it. So it. So the matrix is coming. We're building it.

the matrix is coming. We're building it. the matrix is coming. We're building it. We're designing it. The architect is We're designing it. The architect is We're designing it. The architect is here. And uh we're excited for you to here. And uh we're excited for you to here. And uh we're excited for you to participate in the MVP of this version participate in the MVP of this version participate in the MVP of this version uh the new matrix. It's going to be uh the new matrix. It's going to be uh the new matrix. It's going to be awesome. Um it's coming soon. Also make awesome. Um it's coming soon. Also make awesome. Um it's coming soon. Also make sure to donate to elevate our kids. That's a rough transition, but yeah, That's a rough transition, but yeah, >> you could go in such a wrong direction >> you could go in such a wrong direction >> you could go in such a wrong direction with this at this moment. with this at this moment. with this at this moment. >> You could essentially say that we are >> You could essentially say that we are >> You could essentially say that we are elevating our kids and society. You elevating our kids and society. You elevating our kids and society. You know, know, know, >> Rob, reboot the matrix and load the >> Rob, reboot the matrix and load the >> Rob, reboot the matrix and load the elevate our kids program. elevate our kids program. elevate our kids program. >> Okay. >> Okay. >> Okay. [Laughter] [Laughter] [Laughter] >> Hey kids, it's your uncle Rob here. >> Hey kids, it's your uncle Rob here. >> Hey kids, it's your uncle Rob here. Thanks for joining us. Thanks for this Thanks for joining us. Thanks for this Thanks for joining us. Thanks for this uplifting deal. We've talked about some uplifting deal. We've talked about some uplifting deal. We've talked about some great stuff that's going on in the great stuff that's going on in the great stuff that's going on in the world. You know, we're lifting people up world. You know, we're lifting people up world. You know, we're lifting people up everywhere. I'm spreading the love. everywhere. I'm spreading the love. everywhere. I'm spreading the love. We're all spreading the love. You know, We're all spreading the love. You know, We're all spreading the love. You know, we're giving our knowledge. This is we're giving our knowledge. This is we're giving our knowledge. This is great stuff. We got kids we want to lift great stuff. We got kids we want to lift great stuff. We got kids we want to lift up. You know, they need to connect. They up. You know, they need to connect. They up. You know, they need to connect. They need to learn. They need to succeed in need to learn. They need to succeed in need to learn. They need to succeed in life. And we're here to help make that life. And we're here to help make that life. And we're here to help make that happen.

happen. happen. We are all about that. We're about give, We are all about that. We're about give, We are all about that. We're about give, give, give, give, give. Right? That's give, give, give, give. Right? That's give, give, give, give. Right? That's why we're here. We're here to give. Look why we're here. We're here to give. Look why we're here. We're here to give. Look at those hearts shooting out at you. at those hearts shooting out at you. at those hearts shooting out at you. Come back and join us next week for Come back and join us next week for Come back and join us next week for another uplifting, positive, hyper another uplifting, positive, hyper another uplifting, positive, hyper positive edition of IoT Coffee Talk. positive edition of IoT Coffee Talk. positive edition of IoT Coffee Talk. It's all good. It's all love. It's all It's all good. It's all love. It's all It's all good. It's all love. It's all all the time. Much love. We'll see you all the time. Much love. We'll see you all the time. Much love. We'll see you on the other side. on the other side. on the other side. >> And if you're if you're a millennial or >> And if you're if you're a millennial or >> And if you're if you're a millennial or Gen Z, give us a shout. Come on the Gen Z, give us a shout. Come on the Gen Z, give us a shout. Come on the show. show. show. >> Come on the show. >> Come on the show. >> Come on the show. >> That'd be great. All right, guys. Take >> That'd be great. All right, guys. Take >> That'd be great. All right, guys. Take care. care. care. Adio goes. Heat. Heat. [Music] [Music] [Music] Heat.