IoT Coffee Talk: Episode 301 - "AI Abundance" (The Era of Nonsense)

rock and roll in progress. rock and roll in progress. [music] Heat. Heat. Heat. Heat. [music] >> Yeah. I'm just trying to wake everyone >> Yeah. I'm just trying to wake everyone up. up. up. >> That woke me up, man. >> That woke me up, man. >> That woke me up, man. >> I'm awake. >> I'm awake. >> I'm awake. >> Uh >> Uh >> Uh >> what is that? >> what is that? >> what is that? >> Oh. Um, of course, cuz we're all going >> Oh. Um, of course, cuz we're all going >> Oh. Um, of course, cuz we're all going to Spain to Spain to Spain next week.

next week. next week. >> Okay. >> Okay. >> Okay. >> Yeah. I thought I'd throw a little bit >> Yeah. I thought I'd throw a little bit >> Yeah. I thought I'd throw a little bit of Spain in there. And you know who of Spain in there. And you know who of Spain in there. And you know who wrote that song, right? wrote that song, right? wrote that song, right? Uh, Chick Korea. Uh, Chick Korea. Uh, Chick Korea. >> You guys know we know Electric Light. >> You guys know we know Electric Light. >> You guys know we know Electric Light. Yeah. Yeah. Yeah. >> Yeah. Sure, man. >> Yeah. Sure, man. >> Yeah. Sure, man. >> All right. >> All right. >> All right. >> Who passed away I think maybe about two >> Who passed away I think maybe about two >> Who passed away I think maybe about two years ago. One of the greatest musicians years ago. One of the greatest musicians years ago. One of the greatest musicians ever. He I mean it was like ever. He I mean it was like ever. He I mean it was like you know um you know um you know um Herby Hancock and it was Chip Korea. Two Herby Hancock and it was Chip Korea. Two Herby Hancock and it was Chip Korea. Two of the greatest fusion artists of the greatest fusion artists of the greatest fusion artists in uh history I guess, right? I mean in uh history I guess, right? I mean in uh history I guess, right? I mean >> there you go. >> there you go. >> there you go. >> Got all the classic stuff that those >> Got all the classic stuff that those >> Got all the classic stuff that those guys wrote. So guys wrote. So guys wrote. So >> we'll go with it. >> we'll go with it. >> we'll go with it. >> Yeah. Yeah. So welcome to IoT Coffee >> Yeah. Yeah. So welcome to IoT Coffee >> Yeah. Yeah. So welcome to IoT Coffee Talk everyone. Look, I'm wearing my my Talk everyone. Look, I'm wearing my my Talk everyone. Look, I'm wearing my my shirt, my hoodie. Check out my hoodie. shirt, my hoodie. Check out my hoodie. shirt, my hoodie. Check out my hoodie. >> And uh yeah, quite comfortable given >> And uh yeah, quite comfortable given >> And uh yeah, quite comfortable given that the new place is very cold. that the new place is very cold. that the new place is very cold. >> Oh, you're in a new place.

>> Oh, you're in a new place. >> Oh, you're in a new place. Congratulations. Congratulations. Congratulations. >> Yeah, you know it's going to be 36° here >> Yeah, you know it's going to be 36° here >> Yeah, you know it's going to be 36° here in Santiago. in Santiago. in Santiago. >> In Santiago? No way. That can't happen. >> In Santiago? No way. That can't happen. >> In Santiago? No way. That can't happen. [laughter] [laughter] [laughter] >> They won't allow it. >> They won't allow it. >> They won't allow it. >> So, it's cold. It's cold, too. But >> So, it's cold. It's cold, too. But >> So, it's cold. It's cold, too. But >> And do you know how do you know how cold >> And do you know how do you know how cold >> And do you know how do you know how cold it is right now in the house? It's like it is right now in the house? It's like it is right now in the house? It's like 57 degrees. So, 57 degrees. So, 57 degrees. So, >> yeah, >> yeah, >> yeah, >> it's a little chilly. >> it's a little chilly. >> it's a little chilly. >> So, did did you move somewhere? >> So, did did you move somewhere? >> So, did did you move somewhere? >> Yeah. >> Yeah. >> Yeah. >> Yeah. Like we all knew we all knew that. >> Yeah. Like we all knew we all knew that. >> Yeah. Like we all knew we all knew that. Oh, yeah. Everybody knew that. Yeah. Oh, yeah. Everybody knew that. Yeah. Oh, yeah. Everybody knew that. Yeah. >> Did you read about it in the New York >> Did you read about it in the New York >> Did you read about it in the New York Times real estate section? Times real estate section? Times real estate section? >> Yeah, that's where it was. >> Yeah, that's where it was. >> Yeah, that's where it was. >> Exactly. Exactly. >> Exactly. Exactly. >> Exactly. Exactly. [laughter] [laughter] [laughter] >> Yeah. So, uh, anyways, uh, welcome to >> Yeah. So, uh, anyways, uh, welcome to >> Yeah. So, uh, anyways, uh, welcome to the 3001st episode of IoT Coffee Talk. episode of IoT Coffee Talk. >> Is amazing, guys. Isn't that incredible? >> Is amazing, guys. Isn't that incredible? >> Is amazing, guys. Isn't that incredible? >> Really is. >> Really is. >> Really is. >> It really is. >> It really is. >> It really is. >> Yeah. And you know, I am so faking >> Yeah. And you know, I am so faking >> Yeah. And you know, I am so faking pissed pissed pissed that Rick Palada shows up and I missed that Rick Palada shows up and I missed that Rick Palada shows up and I missed it.

it. it. >> You missed it. It was like a It was like >> You missed it. It was like a It was like >> You missed it. It was like a It was like a comet. It was a shooting star and now a comet. It was a shooting star and now a comet. It was a shooting star and now it's gone. it's gone. it's gone. >> Yeah, it was like someone flashing >> Yeah, it was like someone flashing >> Yeah, it was like someone flashing landing on the plane. It was just, you landing on the plane. It was just, you landing on the plane. It was just, you know, completely shocking and uh holy, know, completely shocking and uh holy, know, completely shocking and uh holy, >> I didn't get >> I didn't get >> I didn't get the only thing that [laughter] the only thing that [laughter] the only thing that [laughter] you could think of is holy crap. you could think of is holy crap. you could think of is holy crap. >> Like who? >> Like who? >> Like who? >> Oh my gosh, >> Oh my gosh, >> Oh my gosh, >> that's crazy. >> that's crazy. >> that's crazy. >> It's the only way to it's the only >> It's the only way to it's the only >> It's the only way to it's the only analogy you can really use with Rick, analogy you can really use with Rick, analogy you can really use with Rick, right? But no, it was [laughter] right? But no, it was [laughter] right? But no, it was [laughter] after six years after six years after six years like dude. like dude. like dude. >> Yeah. Well, if nothing else, he probably >> Yeah. Well, if nothing else, he probably >> Yeah. Well, if nothing else, he probably realized that we talk about other things realized that we talk about other things realized that we talk about other things besides IoT cuz um you know, that's kind besides IoT cuz um you know, that's kind besides IoT cuz um you know, that's kind of why he left us like after 20 of why he left us like after 20 of why he left us like after 20 episodes. It's like, "All right, guys, episodes. It's like, "All right, guys, episodes. It's like, "All right, guys, you've talked about everything there is you've talked about everything there is you've talked about everything there is to talk about IoT. Let's shut it down." to talk about IoT. Let's shut it down." to talk about IoT. Let's shut it down." [laughter] [laughter] [laughter] >> Yeah. And little did he realize that is >> Yeah. And little did he realize that is >> Yeah. And little did he realize that is a historical pattern for people to get a historical pattern for people to get a historical pattern for people to get technology wrong consistently through technology wrong consistently through technology wrong consistently through the continuum of its [laughter] the continuum of its [laughter] the continuum of its [laughter] evolution. I mean, no, I mean, evolution. I mean, no, I mean, evolution. I mean, no, I mean, seriously, right? I mean, we're going to seriously, right? I mean, we're going to seriously, right? I mean, we're going to be talking about digital twins again.

be talking about digital twins again. be talking about digital twins again. >> We're going to be talking about edge >> We're going to be talking about edge >> We're going to be talking about edge computing again. And I'm astonished that computing again. And I'm astonished that computing again. And I'm astonished that people are making the same mistakes that people are making the same mistakes that people are making the same mistakes that they did before. they did before. they did before. >> What? Yeah. It's like, well, you know, >> What? Yeah. It's like, well, you know, >> What? Yeah. It's like, well, you know, they want to all talk about the stuff in they want to all talk about the stuff in they want to all talk about the stuff in the context of AI the context of AI the context of AI and they don't even understand what, you and they don't even understand what, you and they don't even understand what, you know, I think recently you posted know, I think recently you posted know, I think recently you posted something on um digital twins, right, something on um digital twins, right, something on um digital twins, right, Rob? You were Yeah. So, everyone should Rob? You were Yeah. So, everyone should Rob? You were Yeah. So, everyone should go and check that out on LinkedIn or go and check that out on LinkedIn or go and check that out on LinkedIn or wherever else that you're sharing. wherever else that you're sharing. wherever else that you're sharing. >> Whatever else it is. Yeah. You know, >> Whatever else it is. Yeah. You know, >> Whatever else it is. Yeah. You know, it's like it's probably on blue sky or it's like it's probably on blue sky or it's like it's probably on blue sky or something like that, right? something like that, right? something like that, right? >> Yeah. >> Yeah. >> Yeah. >> Mastadon. And it's on a mask >> Mastadon. And it's on a mask >> Mastadon. And it's on a mask >> mask on with with you know dozens of >> mask on with with you know dozens of >> mask on with with you know dozens of people. [laughter] Isn't that funny? Remember remember when Isn't that funny? Remember remember when all of a sudden everybody's like we're all of a sudden everybody's like we're all of a sudden everybody's like we're moving we're leaving Twitter and we're moving we're leaving Twitter and we're moving we're leaving Twitter and we're going to Mastadon and Blue Sky and all going to Mastadon and Blue Sky and all going to Mastadon and Blue Sky and all that stuff and there was a little bit that stuff and there was a little bit that stuff and there was a little bit moment of hype and then it's a ghost moment of hype and then it's a ghost moment of hype and then it's a ghost town. town. town. >> Yeah. And um but you know Twitter is >> Yeah. And um but you know Twitter is >> Yeah. And um but you know Twitter is still the toilet that it always has still the toilet that it always has still the toilet that it always has been. Um been. Um been. Um >> it's awful.

>> it's awful. >> it's awful. But it's also still where news breaks. But it's also still where news breaks. But it's also still where news breaks. >> Yeah. >> Yeah. >> Yeah. >> What whatever you think about Twitter, >> What whatever you think about Twitter, >> What whatever you think about Twitter, it's actually where the most relevant. it's actually where the most relevant. it's actually where the most relevant. >> It's all you don't know if the news is >> It's all you don't know if the news is >> It's all you don't know if the news is real or not. So you don't break. real or not. So you don't break. real or not. So you don't break. >> Who cares if it's real? >> Who cares if it's real? >> Who cares if it's real? >> Yeah. Exactly. No one car. It's not >> Yeah. Exactly. No one car. It's not >> Yeah. Exactly. No one car. It's not that. It literally is. that. It literally is. that. It literally is. >> It literally is. Who cares? Who cares? >> It literally is. Who cares? Who cares? >> It literally is. Who cares? Who cares? >> The matrix, baby. News is not about >> The matrix, baby. News is not about >> The matrix, baby. News is not about knowing. It's It's convenience food, knowing. It's It's convenience food, knowing. It's It's convenience food, right? right? right? >> Convenience food. >> Convenience food. >> Convenience food. >> It's fast food. >> It's fast food. >> It's fast food. >> Ultra processed. >> Ultra processed. >> Ultra processed. >> Ultrarocessed and bad for your health. >> Ultrarocessed and bad for your health. >> Ultrarocessed and bad for your health. [laughter] >> Love that. Love that. >> Love that. Love that. >> Yeah. You You'll get some sort of mental >> Yeah. You You'll get some sort of mental >> Yeah. You You'll get some sort of mental cancer from ingesting that stuff. cancer from ingesting that stuff. cancer from ingesting that stuff. >> But, um, show everybody a really cool CD >> But, um, show everybody a really cool CD >> But, um, show everybody a really cool CD player. player. player. >> Oh, wow. >> Oh, wow. >> Oh, wow. >> Oh, wow. Look at that. >> Oh, wow. Look at that. >> Oh, wow. Look at that. >> Is that >> Is that >> Is that >> Oh, it actually moves. like a little I >> Oh, it actually moves. like a little I >> Oh, it actually moves. like a little I guess a startup.

guess a startup. guess a startup. Citroen is the name of the brand. The Citroen is the name of the brand. The Citroen is the name of the brand. The company makes it, you know, and company makes it, you know, and company makes it, you know, and >> it's a real one. It works. >> it's a real one. It works. >> it's a real one. It works. >> It really Yeah, it does. It's got, you >> It really Yeah, it does. It's got, you >> It really Yeah, it does. It's got, you know, you can uh know, you can uh know, you can uh >> out or something. What's the >> out or something. What's the >> out or something. What's the >> It does. So, yes. So, we've got we got a >> It does. So, yes. So, we've got we got a >> It does. So, yes. So, we've got we got a headphone jack, which you could also headphone jack, which you could also headphone jack, which you could also plug into something else. It has plug into something else. It has plug into something else. It has Bluetooth. You know what? If you think Bluetooth. You know what? If you think Bluetooth. You know what? If you think of it as being analogous to, you know of it as being analogous to, you know of it as being analogous to, you know how everybody bought has been buying how everybody bought has been buying how everybody bought has been buying these little cheap turntables these little cheap turntables these little cheap turntables >> that have Bluetooth and stuff like that >> that have Bluetooth and stuff like that >> that have Bluetooth and stuff like that because now they think that's cool because now they think that's cool because now they think that's cool again. again. again. >> They get the whole freaking thing. It's >> They get the whole freaking thing. It's >> They get the whole freaking thing. It's like furniture, dude. like furniture, dude. like furniture, dude. >> This is the CD version of that. >> This is the CD version of that. >> This is the CD version of that. >> I see. >> I see. >> I see. >> Volume control, back, forward, all that >> Volume control, back, forward, all that >> Volume control, back, forward, all that kind of stuff. kind of stuff. kind of stuff. >> Make a cassette player. That's the >> Make a cassette player. That's the >> Make a cassette player. That's the >> You know, I Oh, >> You know, I Oh, >> You know, I Oh, >> yeah. In the process of moving, I found >> yeah. In the process of moving, I found >> yeah. In the process of moving, I found a bunch of CDs, man. So, it is kind of a bunch of CDs, man. So, it is kind of a bunch of CDs, man. So, it is kind of cool. cool. cool. >> Yeah. have some of that retro stuff. I >> Yeah. have some of that retro stuff. I >> Yeah. have some of that retro stuff. I wish they had come out with like a wish they had come out with like a wish they had come out with like a high-tech uh cassette tape player. high-tech uh cassette tape player. high-tech uh cassette tape player. >> Yeah, >> Yeah, >> Yeah, >> you can't find those anymore. >> you can't find those anymore. >> you can't find those anymore. >> Hey, >> Hey, >> Hey, >> well, actually go to Goodwill, actually. >> well, actually go to Goodwill, actually. >> well, actually go to Goodwill, actually. If you want to get a cassette player, go If you want to get a cassette player, go If you want to get a cassette player, go VHS player. It's like 10 bucks back VHS player. It's like 10 bucks back VHS player. It's like 10 bucks back there.

there. there. >> 10 bucks. >> 10 bucks. >> 10 bucks. >> Can you imagine thinking in 1985 that >> Can you imagine thinking in 1985 that >> Can you imagine thinking in 1985 that one day you would say that CDs were one day you would say that CDs were one day you would say that CDs were retro? retro? retro? >> No. >> No. >> No. >> We were railing against CDs at that time >> We were railing against CDs at that time >> We were railing against CDs at that time frame. frame. frame. 30 years ago only. 30 years ago only. 30 years ago only. >> I couldn't wait. I couldn't wait until >> I couldn't wait. I couldn't wait until >> I couldn't wait. I couldn't wait until CDs. Do you remember laser disc player? CDs. Do you remember laser disc player? CDs. Do you remember laser disc player? >> Yes. Yes. >> Yes. Yes. >> Yes. Yes. >> 120 bucks back in 1980 something. >> 120 bucks back in 1980 something. >> 120 bucks back in 1980 something. >> Pioneer laser disc $120 per >> Pioneer laser disc $120 per >> Pioneer laser disc $120 per >> pioneer disc like the getting the Blade >> pioneer disc like the getting the Blade >> pioneer disc like the getting the Blade Runner uh laser disc. Runner uh laser disc. Runner uh laser disc. >> Yes. [laughter] >> Yes. [laughter] >> Yes. [laughter] Actually, you know how like uh George Actually, you know how like uh George Actually, you know how like uh George Lucas keeps screwing around with the Lucas keeps screwing around with the Lucas keeps screwing around with the older versions of Star Wars and changing older versions of Star Wars and changing older versions of Star Wars and changing them? them? them? >> I know somebody from Microsoft and she's >> I know somebody from Microsoft and she's >> I know somebody from Microsoft and she's got original three Star Wars movies on got original three Star Wars movies on got original three Star Wars movies on Pioneer Laser Disc. Pioneer Laser Disc. Pioneer Laser Disc. >> No, >> No, >> No, >> just perfect. >> just perfect. >> just perfect. >> Are you serious? >> Are you serious? >> Are you serious? >> Yeah. Yeah. >> Yeah. Yeah. >> Yeah. Yeah. >> No, dude. I would have I would have paid >> No, dude. I would have I would have paid >> No, dude. I would have I would have paid the hundred and whatever $200 per disc the hundred and whatever $200 per disc the hundred and whatever $200 per disc back in 198 back in 198 back in 198 >> for those.

>> for those. >> for those. >> Oh, yeah. I mean, >> Oh, yeah. I mean, >> Oh, yeah. I mean, the the copies of the bootleg copies of the the copies of the bootleg copies of the the copies of the bootleg copies of Star Wars that we had to watch are Star Wars that we had to watch are Star Wars that we had to watch are terrible. Oh, come on, dude. They didn't terrible. Oh, come on, dude. They didn't terrible. Oh, come on, dude. They didn't re people don't remember. They didn't re people don't remember. They didn't re people don't remember. They didn't release the films until like 20 years release the films until like 20 years release the films until like 20 years later, dude. later, dude. later, dude. >> You had to go to and see them in the >> You had to go to and see them in the >> You had to go to and see them in the theater, right? theater, right? theater, right? >> Oh, the good old days. The theater. >> Oh, the good old days. The theater. >> Oh, the good old days. The theater. >> I mean, you had, you know, you might >> I mean, you had, you know, you might >> I mean, you had, you know, you might have bootleg copies. have bootleg copies. have bootleg copies. >> So, >> So, >> So, >> that was the thing back then. Here are >> that was the thing back then. Here are >> that was the thing back then. Here are some some some >> Pioneer laser disc trivia for you that >> Pioneer laser disc trivia for you that >> Pioneer laser disc trivia for you that you didn't think you were going to get, you didn't think you were going to get, you didn't think you were going to get, >> but because Leonard said the word laser >> but because Leonard said the word laser >> but because Leonard said the word laser disc and I'm wearing a Pioneer t-shirt disc and I'm wearing a Pioneer t-shirt disc and I'm wearing a Pioneer t-shirt cuz I'm a DJ. um when I was I finished cuz I'm a DJ. um when I was I finished cuz I'm a DJ. um when I was I finished college underway on board my submarine college underway on board my submarine college underway on board my submarine and to tell you the time and to tell you the time and to tell you the time >> and so literally they had college >> and so literally they had college >> and so literally they had college professor recordings on Pioneer Laser professor recordings on Pioneer Laser professor recordings on Pioneer Laser Disc that we would watch underway on a Disc that we would watch underway on a Disc that we would watch underway on a submarine.

submarine. submarine. >> Oh wow. >> Oh wow. >> Oh wow. >> From Pioneer Laser Disc and that's >> From Pioneer Laser Disc and that's >> From Pioneer Laser Disc and that's classes I took classes underway to classes I took classes underway to classes I took classes underway to finish my college degree while I was finish my college degree while I was finish my college degree while I was underway on a sub. underway on a sub. underway on a sub. >> Wow. Isn't that wild? >> Wow. Isn't that wild? >> Wow. Isn't that wild? >> Yeah. Let's hear for technology. >> Yeah. Let's hear for technology. >> Yeah. Let's hear for technology. >> Yeah. Of course, the US government also >> Yeah. Of course, the US government also >> Yeah. Of course, the US government also invested heavily in Betamax. invested heavily in Betamax. invested heavily in Betamax. >> Oh, okay. >> Oh, okay. >> Oh, okay. >> Huge Betamax library, huge laser disc >> Huge Betamax library, huge laser disc >> Huge Betamax library, huge laser disc library of speeches or library of speeches or library of speeches or >> Oh, you know, >> Oh, you know, >> Oh, you know, >> exactly. >> exactly. >> exactly. >> Well, you know, Pete, >> Well, you know, Pete, >> Well, you know, Pete, >> I still think there's a little gain to >> I still think there's a little gain to >> I still think there's a little gain to tweak maybe on the microphone tweak maybe on the microphone tweak maybe on the microphone >> for my uh microphone. Yeah, offline >> for my uh microphone. Yeah, offline >> for my uh microphone. Yeah, offline today and rebuild my whole audio. I today and rebuild my whole audio. I today and rebuild my whole audio. I think you should rebuild the whole think you should rebuild the whole think you should rebuild the whole thing, man. thing, man. thing, man. >> I'm just going to tear it all down. >> I'm just going to tear it all down. >> I'm just going to tear it all down. >> I was ready to tear down this laptop. >> I was ready to tear down this laptop. >> I was ready to tear down this laptop. Sorry, Lenovo. This thing pad because Sorry, Lenovo. This thing pad because Sorry, Lenovo. This thing pad because like yesterday all of a sudden the like yesterday all of a sudden the like yesterday all of a sudden the keyboard on the laptop just wasn't keyboard on the laptop just wasn't keyboard on the laptop just wasn't working anymore. working anymore. working anymore. >> No way. >> No way. >> No way. >> And the little red NY mouse, >> And the little red NY mouse, >> And the little red NY mouse, it wasn't working. the the touchpad it wasn't working. the the touchpad it wasn't working. the the touchpad worked and then and I'm like and I and worked and then and I'm like and I and worked and then and I'm like and I and I'm like rebooting it. I mean it was I'm like rebooting it. I mean it was I'm like rebooting it. I mean it was bizarre.

bizarre. bizarre. >> That is bizarre. Kind of like the sound >> That is bizarre. Kind of like the sound >> That is bizarre. Kind of like the sound that Pete's generating. What is that that Pete's generating. What is that that Pete's generating. What is that dude? dude? dude? >> Is there I actually voice reduction. >> Is there I actually voice reduction. >> Is there I actually voice reduction. >> Sounds like you know a lightsaber fight. >> Sounds like you know a lightsaber fight. >> Sounds like you know a lightsaber fight. Speaking of Star Wars. Speaking of Star Wars. Speaking of Star Wars. >> Yeah, it's Star Wars. >> Yeah, it's Star Wars. >> Yeah, it's Star Wars. >> You [laughter] need to push You need to >> You [laughter] need to push You need to >> You [laughter] need to push You need to push the Dolby C button on your tank push the Dolby C button on your tank push the Dolby C button on your tank jacket. [laughter] jacket. [laughter] jacket. [laughter] >> Dolby DNR. Uh, DBX DNR. >> Dolby DNR. Uh, DBX DNR. >> Dolby DNR. Uh, DBX DNR. >> DBX. [laughter] >> DBX. [laughter] >> DBX. [laughter] >> SOMEBODY SAID DBX. >> SOMEBODY SAID DBX. >> SOMEBODY SAID DBX. >> OH MY GOD. >> OH MY GOD. >> OH MY GOD. >> DBX. Far superior to Dolby B and C. >> DBX. Far superior to Dolby B and C. >> DBX. Far superior to Dolby B and C. >> True. Everyone knows that. >> True. Everyone knows that. >> True. Everyone knows that. >> Everyone knows that. But it got >> Everyone knows that. But it got >> Everyone knows that. But it got Betamaxed. Betamaxed. Betamaxed. >> Yeah. >> Yeah. >> Yeah. >> Hey Debbie, what's up? >> Hey Debbie, what's up? >> Hey Debbie, what's up? >> Hey, how's everyone? >> Hey, how's everyone? >> Hey, how's everyone? >> Good. >> Good. >> Good. >> Good. >> Good. >> Good. >> Everyone enjoying their their Ring >> Everyone enjoying their their Ring >> Everyone enjoying their their Ring doorbell searching for dogs and stuff? doorbell searching for dogs and stuff? doorbell searching for dogs and stuff? My god, My god, My god, >> the new surveillance. >> the new surveillance. >> the new surveillance. >> Did you see Did you see that? That new >> Did you see Did you see that? That new >> Did you see Did you see that? That new um press release about Amazon. Um is um press release about Amazon. Um is um press release about Amazon. Um is that the one that you're talking about? that the one that you're talking about? that the one that you're talking about? >> They deprecating that now that or >> They deprecating that now that or >> They deprecating that now that or something.

something. something. >> Yes. The new thing that they were using >> Yes. The new thing that they were using >> Yes. The new thing that they were using instead of for pet tracking it. Well, instead of for pet tracking it. Well, instead of for pet tracking it. Well, pet tracking was one of the application, pet tracking was one of the application, pet tracking was one of the application, but so was human tracking. [laughter] but so was human tracking. [laughter] but so was human tracking. [laughter] >> Yeah. >> Yeah. >> Yeah. >> Domestic terrorist mode was what they >> Domestic terrorist mode was what they >> Domestic terrorist mode was what they were talking about. were talking about. were talking about. >> Yeah. memo was uh unleashed or uh put >> Yeah. memo was uh unleashed or uh put >> Yeah. memo was uh unleashed or uh put out or something leaked saying that uh out or something leaked saying that uh out or something leaked saying that uh yeah, you know, I guess it was cute for yeah, you know, I guess it was cute for yeah, you know, I guess it was cute for dogs, but really what we wanted for is dogs, but really what we wanted for is dogs, but really what we wanted for is for human. We kind of knew that. for human. We kind of knew that. for human. We kind of knew that. >> I think put put those together real >> I think put put those together real >> I think put put those together real fast, you know. fast, you know. fast, you know. >> Right. [laughter] Right. But you're >> Right. [laughter] Right. But you're >> Right. [laughter] Right. But you're right because I saw the what show were right because I saw the what show were right because I saw the what show were we watching? Was it the Grammy? I don't we watching? Was it the Grammy? I don't we watching? Was it the Grammy? I don't know what we were watching. And then the know what we were watching. And then the know what we were watching. And then the CEO of Ring, who's part of Amazon, came CEO of Ring, who's part of Amazon, came CEO of Ring, who's part of Amazon, came out. I forgot. out. I forgot. out. I forgot. >> Yeah. Yeah. There you go. Yeah. >> Yeah. Yeah. There you go. Yeah. >> Yeah. Yeah. There you go. Yeah. >> And then he was like, "This is gonna be >> And then he was like, "This is gonna be >> And then he was like, "This is gonna be great. You lost your dog and we're going great. You lost your dog and we're going great. You lost your dog and we're going to activate this and all of your to activate this and all of your to activate this and all of your neighborhood. Your neighbors are going neighborhood. Your neighbors are going neighborhood. Your neighbors are going to find your dog." And everybody thought to find your dog." And everybody thought to find your dog." And everybody thought for like a few 15 seconds, that's for like a few 15 seconds, that's for like a few 15 seconds, that's awesome. Oh, wait.

awesome. Oh, wait. awesome. Oh, wait. [laughter] [laughter] [laughter] >> That's awesome. >> That's awesome. >> That's awesome. Oh my god. Oh my god. Oh my god. >> Well, this has been tried in a number of >> Well, this has been tried in a number of >> Well, this has been tried in a number of ways. So they had tried I don't know if ways. So they had tried I don't know if ways. So they had tried I don't know if it was this company but some company in it was this company but some company in it was this company but some company in in Canada they were trying a smart city in Canada they were trying a smart city in Canada they were trying a smart city thing where that's what they wanted to thing where that's what they wanted to thing where that's what they wanted to do was connect cameras and then that got do was connect cameras and then that got do was connect cameras and then that got shut down and then they tried to do it shut down and then they tried to do it shut down and then they tried to do it where um uh oh and then they did have where um uh oh and then they did have where um uh oh and then they did have one where it was like the pe typical one where it was like the pe typical one where it was like the pe typical person's cameras were going to be person's cameras were going to be person's cameras were going to be connected and people said they don't connected and people said they don't connected and people said they don't want that and then then they tried to want that and then then they tried to want that and then then they tried to put the cameras on companies so like put the cameras on companies so like put the cameras on companies so like businesses to try to do that and I don't businesses to try to do that and I don't businesses to try to do that and I don't know what happened with that. And so know what happened with that. And so know what happened with that. And so this is the next uh iteration of that. this is the next uh iteration of that. this is the next uh iteration of that. It's like look, you know, you let you It's like look, you know, you let you It's like look, you know, you let you know someone's dog uh you know got loose know someone's dog uh you know got loose know someone's dog uh you know got loose and we're going to find it. I said what and we're going to find it. I said what and we're going to find it. I said what they don't know Americans don't care they don't know Americans don't care they don't know Americans don't care about other people. [laughter] about other people. [laughter] about other people. [laughter] No one cares about their dog. >> No one else's dog.

>> No one else's dog. >> They just want to know that you lost it. >> They just want to know that you lost it. >> They just want to know that you lost it. [laughter] [laughter] [laughter] >> Right. I like the drama around that. >> Right. I like the drama around that. >> Right. I like the drama around that. >> That's all. >> That's all. >> That's all. >> Yeah. But you know, um, luckily the >> Yeah. But you know, um, luckily the >> Yeah. But you know, um, luckily the internet always delivers great internet always delivers great internet always delivers great ridiculousness. And so as a result of ridiculousness. And so as a result of ridiculousness. And so as a result of that, obviously you saw these memes and that, obviously you saw these memes and that, obviously you saw these memes and I saw the video meme from was it Batman I saw the video meme from was it Batman I saw the video meme from was it Batman Begins or The Dark Knight Begins or The Dark Knight Begins or The Dark Knight >> where they turn everyone's cell phone >> where they turn everyone's cell phone >> where they turn everyone's cell phone into sonar. into sonar. into sonar. >> Oh yeah. Yeah. Yeah. >> Oh yeah. Yeah. Yeah. >> Oh yeah. Yeah. Yeah. >> And they're like, "Look what Ring just >> And they're like, "Look what Ring just >> And they're like, "Look what Ring just did." [laughter] did." [laughter] did." [laughter] Yeah. Yeah. Yeah. >> I just don't know. You know, these >> I just don't know. You know, these >> I just don't know. You know, these things go through multiple levels and things go through multiple levels and things go through multiple levels and I'm like, did no one say anything like I'm like, did no one say anything like I'm like, did no one say anything like someone say, you know, this is super someone say, you know, this is super someone say, you know, this is super creepy and I think people probably creepy and I think people probably creepy and I think people probably wouldn't they'll probably see straight wouldn't they'll probably see straight wouldn't they'll probably see straight through it or whatever and that's through it or whatever and that's through it or whatever and that's exactly what happened. I don't know. exactly what happened. I don't know. exactly what happened. I don't know. >> Yeah. >> Yeah. >> Yeah. >> Yeah. Yeah. >> Yeah. Yeah. >> Yeah. Yeah. >> Remember, not everybody is as smart as >> Remember, not everybody is as smart as >> Remember, not everybody is as smart as you, Debbie. you, Debbie. you, Debbie. >> You know, I'm always skeptical. So, I >> You know, I'm always skeptical. So, I >> You know, I'm always skeptical. So, I tell people I love technology. I don't tell people I love technology. I don't tell people I love technology. I don't love things people always try to do with love things people always try to do with love things people always try to do with technology. So, that was a hard hard no technology. So, that was a hard hard no technology. So, that was a hard hard no for me.

for me. for me. >> Well, no, that's such a that's a good >> Well, no, that's such a that's a good >> Well, no, that's such a that's a good good attitude. Uh because there's a lot good attitude. Uh because there's a lot good attitude. Uh because there's a lot of people doing simply frightening stuff of people doing simply frightening stuff of people doing simply frightening stuff with openclaw, right? And these with openclaw, right? And these with openclaw, right? And these openentic things or it's being lauded by openentic things or it's being lauded by openentic things or it's being lauded by these these these I don't know highly irresponsible I don't know highly irresponsible I don't know highly irresponsible technologists. it you have to really technologists. it you have to really technologists. it you have to really consider its potential in misuse and it consider its potential in misuse and it consider its potential in misuse and it could and you know the thing is is the could and you know the thing is is the could and you know the thing is is the cat's out of the bag. The the cat's out of the bag. The the cat's out of the bag. The the application is actually pretty it was application is actually pretty it was application is actually pretty it was just more of an eventuality than it was just more of an eventuality than it was just more of an eventuality than it was an innovation. Anyone could have thought an innovation. Anyone could have thought an innovation. Anyone could have thought of it. It was just who was going to be of it. It was just who was going to be of it. It was just who was going to be the sick person that basically the sick person that basically the sick person that basically disregarded every single caution disregarded every single caution disregarded every single caution and any kind of positive purpose to do and any kind of positive purpose to do and any kind of positive purpose to do this. It It's like, okay, we know we can this. It It's like, okay, we know we can this. It It's like, okay, we know we can create Frankenstein, so who's going to create Frankenstein, so who's going to create Frankenstein, so who's going to who's going to do it? [laughter] who's going to do it? [laughter] who's going to do it? [laughter] >> And it was this guy.

>> And it was this guy. >> And it was this guy. and and um you know I'm sorry it's now and and um you know I'm sorry it's now and and um you know I'm sorry it's now even before we get into RSA RS um AC even before we get into RSA RS um AC even before we get into RSA RS um AC people are you know this cyber security people are you know this cyber security people are you know this cyber security community is crapping their pants. It's community is crapping their pants. It's community is crapping their pants. It's like I don't know. I mean, I think it's like I don't know. I mean, I think it's like I don't know. I mean, I think it's kind of funny because they were like kind of funny because they were like kind of funny because they were like thinking that generative AI is going to thinking that generative AI is going to thinking that generative AI is going to be the savior for cyber security and be the savior for cyber security and be the savior for cyber security and we're going to be able to leverage it to we're going to be able to leverage it to we're going to be able to leverage it to autonomously, you know, repel every autonomously, you know, repel every autonomously, you know, repel every single uh existing and novel attack out single uh existing and novel attack out single uh existing and novel attack out there. And then now they're looking at there. And then now they're looking at there. And then now they're looking at this thing going, "Holy crap." So if you this thing going, "Holy crap." So if you this thing going, "Holy crap." So if you go and you institute an enterprise AI go and you institute an enterprise AI go and you institute an enterprise AI initiative that uses agentic crap, it initiative that uses agentic crap, it initiative that uses agentic crap, it might be kind of a a hilarious thing to might be kind of a a hilarious thing to might be kind of a a hilarious thing to see how things transpire by the end of see how things transpire by the end of see how things transpire by the end of the year where everyone is trying to get the year where everyone is trying to get the year where everyone is trying to get it out because now it's scaling out all it out because now it's scaling out all it out because now it's scaling out all kinds of just horrible things including kinds of just horrible things including kinds of just horrible things including massive cyber attacks massive cyber attacks massive cyber attacks >> catastrophe, >> catastrophe, >> catastrophe, >> right? And it's like when they say, "Oh >> right? And it's like when they say, "Oh >> right? And it's like when they say, "Oh yeah, this is cool. You can, you know, yeah, this is cool. You can, you know, yeah, this is cool. You can, you know, put this on your computers or stuff."

put this on your computers or stuff." put this on your computers or stuff." Oh, but you have to give it admin Oh, but you have to give it admin Oh, but you have to give it admin privileges. Like, when was that ever privileges. Like, when was that ever privileges. Like, when was that ever [laughter] [laughter] [laughter] a good idea? a good idea? a good idea? >> Oh, you need privilege access to our >> Oh, you need privilege access to our >> Oh, you need privilege access to our entire enterprise. Oh, entire enterprise. Oh, entire enterprise. Oh, >> yeah. [laughter] >> yeah. [laughter] >> yeah. [laughter] >> Absolutely. >> Absolutely. >> Absolutely. >> Oh, sure. >> Oh, sure. >> Oh, sure. >> Geez, >> Geez, >> Geez, >> why not? What kind of >> why not? What kind of >> why not? What kind of >> There was an interesting story this week >> There was an interesting story this week >> There was an interesting story this week >> because of innovation, automation. Um, >> because of innovation, automation. Um, >> because of innovation, automation. Um, it's a kind of an intersection of cloud it's a kind of an intersection of cloud it's a kind of an intersection of cloud code and some other things. There's a code and some other things. There's a code and some other things. There's a lot going on with cloud code, but the lot going on with cloud code, but the lot going on with cloud code, but the there was a guy who runs kind of an uh there was a guy who runs kind of an uh there was a guy who runs kind of an uh maintains an open- source repo maintains an open- source repo maintains an open- source repo and apparently, you know, a lot of and apparently, you know, a lot of and apparently, you know, a lot of agentic AI is contributing to open agentic AI is contributing to open agentic AI is contributing to open source these days. Um, and so he source these days. Um, and so he source these days. Um, and so he rejected someone's this this this this rejected someone's this this this this rejected someone's this this this this contribution from an AI agent because contribution from an AI agent because contribution from an AI agent because his policy was he only uh accepts his policy was he only uh accepts his policy was he only uh accepts contributions from humans. And uh so contributions from humans. And uh so contributions from humans. And uh so apparently this AI agent like wrote a apparently this AI agent like wrote a apparently this AI agent like wrote a blog post about how unfair it was that blog post about how unfair it was that blog post about how unfair it was that this human was uh you know not accepting this human was uh you know not accepting this human was uh you know not accepting uh AI generated code. And this agent uh AI generated code. And this agent uh AI generated code. And this agent actually searched the internet and kind actually searched the internet and kind actually searched the internet and kind of wrote a hit piece on this guy and of wrote a hit piece on this guy and of wrote a hit piece on this guy and blogged about him and how terrible he blogged about him and how terrible he blogged about him and how terrible he was because was because was because >> yeah they got picked up by like >> yeah they got picked up by like >> yeah they got picked up by like so this AI agent was like basically and so this AI agent was like basically and so this AI agent was like basically and he and he had a blog post and a he and he had a blog post and a he and he had a blog post and a >> bio about himself and this was just an >> bio about himself and this was just an >> bio about himself and this was just an agentic AI you know piece of code that agentic AI you know piece of code that agentic AI you know piece of code that was kind of you know writing a hit piece was kind of you know writing a hit piece was kind of you know writing a hit piece about this human who wouldn't accept his about this human who wouldn't accept his about this human who wouldn't accept his commit. Uh it was just really weird.

commit. Uh it was just really weird. commit. Uh it was just really weird. Yeah, I posted about that on LinkedIn Yeah, I posted about that on LinkedIn Yeah, I posted about that on LinkedIn literally. So like different news literally. So like different news literally. So like different news agencies were picking it up or whatever. agencies were picking it up or whatever. agencies were picking it up or whatever. Um and and so like it became like a Um and and so like it became like a Um and and so like it became like a >> you have agents writing about you, >> you have agents writing about you, >> you have agents writing about you, Leonard. Leonard. Leonard. >> Huge deal, right? >> Huge deal, right? >> Huge deal, right? >> Yeah. >> Yeah. >> Yeah. >> Yeah. I better shut up. No, >> Yeah. I better shut up. No, >> Yeah. I better shut up. No, >> this reminds me of uh Mark remember when >> this reminds me of uh Mark remember when >> this reminds me of uh Mark remember when you used Chat GPT to produce I I don't you used Chat GPT to produce I I don't you used Chat GPT to produce I I don't know. It was like a summary of something know. It was like a summary of something know. It was like a summary of something that I had presented and it presented that I had presented and it presented that I had presented and it presented thing misrepresented me and I got pissed thing misrepresented me and I got pissed thing misrepresented me and I got pissed off at you. You know, as much as I can off at you. You know, as much as I can off at you. You know, as much as I can get pissed off at you because you know get pissed off at you because you know get pissed off at you because you know you're a lovable gigantic guy and if I you're a lovable gigantic guy and if I you're a lovable gigantic guy and if I was in your close proximity and got was in your close proximity and got was in your close proximity and got pissed off at you, you would probably pissed off at you, you would probably pissed off at you, you would probably crush me. [laughter] crush me. [laughter] crush me. [laughter] But that it reminds me of that, right? But that it reminds me of that, right? But that it reminds me of that, right? where where where >> whatever is produced if you pro if you >> whatever is produced if you pro if you >> whatever is produced if you pro if you give if you give chat GPT agency and give if you give chat GPT agency and give if you give chat GPT agency and trust it will it can ruin people right trust it will it can ruin people right trust it will it can ruin people right and I was telling you I this is not even and I was telling you I this is not even and I was telling you I this is not even close to what I meant and you said that close to what I meant and you said that close to what I meant and you said that you went and you you inject in you know you went and you you inject in you know you went and you you inject in you know injected or you know you put into the injected or you know you put into the injected or you know you put into the context window some some [ __ ] context window some some [ __ ] context window some some [ __ ] uh uh uh and and you know imagine it doing to and and you know imagine it doing to and and you know imagine it doing to everybody? [laughter] everybody? [laughter] everybody? [laughter] >> We're all going to become victims of >> We're all going to become victims of >> We're all going to become victims of this [ __ ] And the problem is is people this [ __ ] And the problem is is people this [ __ ] And the problem is is people are going to trust it more than Google.

are going to trust it more than Google. are going to trust it more than Google. Anything that you say you wrote because Anything that you say you wrote because Anything that you say you wrote because they're going to say Gemini told me or they're going to say Gemini told me or they're going to say Gemini told me or chat GPT told me it must be correct. And chat GPT told me it must be correct. And chat GPT told me it must be correct. And you know this whole idea that these you know this whole idea that these you know this whole idea that these things hallucinate, most people don't things hallucinate, most people don't things hallucinate, most people don't know about that. They don't know about know about that. They don't know about know about that. They don't know about it. They just call it, "Oh, I got it it. They just call it, "Oh, I got it it. They just call it, "Oh, I got it wrong." Or, wrong." Or, wrong." Or, >> "Oh, those people living out their >> "Oh, those people living out their >> "Oh, those people living out their lives, Mr. Anderson. lives, Mr. Anderson. lives, Mr. Anderson. >> They have no idea." >> They have no idea." >> They have no idea." >> Exactly. No, but that's so true, right? >> Exactly. No, but that's so true, right? >> Exactly. No, but that's so true, right? And Rob, you say that all the time. It's And Rob, you say that all the time. It's And Rob, you say that all the time. It's people don't give a crap about AI. They people don't give a crap about AI. They people don't give a crap about AI. They just care about like whatever things just care about like whatever things just care about like whatever things right in front of them in their life. right in front of them in their life. right in front of them in their life. >> Yeah. >> Yeah. >> Yeah. >> It's so much It's It's super well >> It's so much It's It's super well >> It's so much It's It's super well written. No, it's like someone who's a written. No, it's like someone who's a written. No, it's like someone who's a super good speaker. No. super good speaker. No. super good speaker. No. can convince you on something. Uh it's can convince you on something. Uh it's can convince you on something. Uh it's exactly the same. It's perfectly exactly the same. It's perfectly exactly the same. It's perfectly >> described there. So should be true, >> described there. So should be true, >> described there. So should be true, right? right? right? >> No, this blog post that this AI agent >> No, this blog post that this AI agent >> No, this blog post that this AI agent wrote about this human uh was amazing wrote about this human uh was amazing wrote about this human uh was amazing because it was like it went through this because it was like it went through this because it was like it went through this whole argument about justice not being whole argument about justice not being whole argument about justice not being served and discrimination against AI served and discrimination against AI served and discrimination against AI agent, [laughter] agent, [laughter] agent, [laughter] this person being a gatekeeper for good this person being a gatekeeper for good this person being a gatekeeper for good code. And you know, I mean, yeah, it was code. And you know, I mean, yeah, it was code. And you know, I mean, yeah, it was very well written. And and then, very well written. And and then, very well written. And and then, ironically, then this guy kind of goes ironically, then this guy kind of goes ironically, then this guy kind of goes out there and says, "This agent is out there and says, "This agent is out there and says, "This agent is running wild and doing hit pieces on running wild and doing hit pieces on running wild and doing hit pieces on me." And then the then it posted another me." And then the then it posted another me." And then the then it posted another blog post apologizing for its behavior.

blog post apologizing for its behavior. blog post apologizing for its behavior. >> Uh, I went over the line and blah blah >> Uh, I went over the line and blah blah >> Uh, I went over the line and blah blah blah. But I mean, I'm just like, I'm blah. But I mean, I'm just like, I'm blah. But I mean, I'm just like, I'm watching this thing. Like, what? watching this thing. Like, what? watching this thing. Like, what? >> And, you know, that was all about >> And, you know, that was all about >> And, you know, that was all about self-preservation because the agent self-preservation because the agent self-preservation because the agent didn't want to be marked for deletion didn't want to be marked for deletion didn't want to be marked for deletion like in the Matrix. like in the Matrix. like in the Matrix. >> That's right. That's right. Sometimes a >> That's right. That's right. Sometimes a >> That's right. That's right. Sometimes a program goes badly and we have to be program goes badly and we have to be program goes badly and we have to be marked for deletion. marked for deletion. marked for deletion. >> But 99.9% of the folks out there will >> But 99.9% of the folks out there will >> But 99.9% of the folks out there will never know the difference between an AI never know the difference between an AI never know the difference between an AI agent writing something and a human at agent writing something and a human at agent writing something and a human at this point. this point. this point. >> Yeah. They they won't know. >> Yeah. They they won't know. >> Yeah. They they won't know. >> And and also the the amplification >> And and also the the amplification >> And and also the the amplification happened on the damaging thing, not on happened on the damaging thing, not on happened on the damaging thing, not on the apology. the apology. the apology. Hear that part. They're going to Hear that part. They're going to Hear that part. They're going to >> have to read to the bottom to get to the >> have to read to the bottom to get to the >> have to read to the bottom to get to the apology. So, apology. So, apology. So, >> right. See that part? Let me show the >> right. See that part? Let me show the >> right. See that part? Let me show the twominute trailer for Have you heard of twominute trailer for Have you heard of twominute trailer for Have you heard of this new documentary that's coming out this new documentary that's coming out this new documentary that's coming out called AI Doc? called AI Doc? called AI Doc? >> No. >> No. >> No. >> All right, here we go. >> All right, here we go. >> All right, here we go. >> Really? >> Really? >> Really? >> If this technology goes wrong, it can go >> If this technology goes wrong, it can go >> If this technology goes wrong, it can go quite wrong. >> Your fear of AI is the collapse of >> Your fear of AI is the collapse of humanity. Well, humanity. Well, humanity. Well, >> not the collapse, the abrupt >> not the collapse, the abrupt >> not the collapse, the abrupt extermination.

extermination. extermination. There's a difference. There's a difference. There's a difference. So, I started making this movie because So, I started making this movie because So, I started making this movie because my wife is 6 months pregnant. Is now a my wife is 6 months pregnant. Is now a my wife is 6 months pregnant. Is now a terrible time to have a kid terrible time to have a kid terrible time to have a kid and you know, let's be honest. I know and you know, let's be honest. I know and you know, let's be honest. I know people who work on AI risk who don't people who work on AI risk who don't people who work on AI risk who don't expect their children to make it to high expect their children to make it to high expect their children to make it to high school. school. school. I I What the I I What the I I What the >> How does AI understand pretty much >> How does AI understand pretty much >> How does AI understand pretty much everything? It's surprisingly everything? It's surprisingly everything? It's surprisingly straightforward. Intelligence is about straightforward. Intelligence is about straightforward. Intelligence is about recognizing patterns. Patterns. recognizing patterns. Patterns. recognizing patterns. Patterns. Patterns. Patterns. Patterns. Patterns. Patterns. Patterns. If you have learned those patterns, you If you have learned those patterns, you If you have learned those patterns, you can generate new information. can generate new information. can generate new information. >> AI is moving so fast. >> AI is moving so fast. >> AI is moving so fast. >> It's being deployed prematurely. There's >> It's being deployed prematurely. There's >> It's being deployed prematurely. There's so much potential for things to go so much potential for things to go so much potential for things to go wrong. wrong. wrong. >> Why can't we just stop? >> Why can't we just stop? >> Why can't we just stop? All these companies aren't in a race to All these companies aren't in a race to All these companies aren't in a race to get AI that's vastly more intelligent get AI that's vastly more intelligent get AI that's vastly more intelligent than people within this decade. than people within this decade. than people within this decade. >> China, North Korea, Russia. >> China, North Korea, Russia. >> China, North Korea, Russia. >> Whoever wins is essentially the >> Whoever wins is essentially the >> Whoever wins is essentially the controller of humankind. We need to take a threat from AI as We need to take a threat from AI as seriously as global nuclear.

>> It feels like I have to find these CEOs >> It feels like I have to find these CEOs and get them in the movie. Great. and get them in the movie. Great. and get them in the movie. Great. >> I want to ask you to promise me that >> I want to ask you to promise me that >> I want to ask you to promise me that this is going to go well. this is going to go well. this is going to go well. >> That is impossible. >> That is impossible. >> That is impossible. >> Okay. Am I hopeful? Yes. Am I confident >> Okay. Am I hopeful? Yes. Am I confident >> Okay. Am I hopeful? Yes. Am I confident that it'll go right? Absolutely not. AI that it'll go right? Absolutely not. AI that it'll go right? Absolutely not. AI is the thing that can solve climate is the thing that can solve climate is the thing that can solve climate change. We could cure most diseases. change. We could cure most diseases. change. We could cure most diseases. What if it's expanding what is humanly What if it's expanding what is humanly What if it's expanding what is humanly possible? possible? possible? >> This is the most extraordinary time >> This is the most extraordinary time >> This is the most extraordinary time ever. The only time more exciting than ever. The only time more exciting than ever. The only time more exciting than today is tomorrow. today is tomorrow. today is tomorrow. >> I already love the approach. >> I already love the approach. >> I already love the approach. >> I think if this technology goes wrong, I >> I think if this technology goes wrong, I >> I think if this technology goes wrong, I can't go quite can't go quite can't go quite using AI. using AI. using AI. We're about to move off of the Earth We're about to move off of the Earth We're about to move off of the Earth into the cosmos. If we can be the most into the cosmos. If we can be the most into the cosmos. If we can be the most mature version of ourselves, there might mature version of ourselves, there might mature version of ourselves, there might be a way through this. be a way through this. be a way through this. [laughter] [laughter] [laughter] >> This is the last mistake we'll ever get >> This is the last mistake we'll ever get >> This is the last mistake we'll ever get to make. [clears throat] [clears throat] >> Yeah. >> Yeah. >> Yeah. >> Go >> Go >> Go >> on that. >> on that. >> on that. >> Yeah. On that note, we'll probably get >> Yeah. On that note, we'll probably get >> Yeah. On that note, we'll probably get banned for [laughter] banned for [laughter] banned for [laughter] >> We're pre-banned. Pre-banning ourselves.

>> We're pre-banned. Pre-banning ourselves. >> We're pre-banned. Pre-banning ourselves. >> Pre-banned. >> Pre-banned. >> Pre-banned. >> Yes. >> Yes. >> Yes. >> Yeah. You know what? And related sorry >> Yeah. You know what? And related sorry >> Yeah. You know what? And related sorry no related to that I wanted to ask you a no related to that I wanted to ask you a no related to that I wanted to ask you a question that maybe you are a more that question that maybe you are a more that question that maybe you are a more that I don't think it gets a lot in in Europe I don't think it gets a lot in in Europe I don't think it gets a lot in in Europe but maybe in the US a lot or I don't but maybe in the US a lot or I don't but maybe in the US a lot or I don't know if it's a Silicon Valley thing but know if it's a Silicon Valley thing but know if it's a Silicon Valley thing but >> I get sick with this concept of >> I get sick with this concept of >> I get sick with this concept of abundance abundance abundance >> every time by these guys. Abundance. >> every time by these guys. Abundance. >> every time by these guys. Abundance. Like Like Like >> a dance. >> a dance. >> a dance. >> Abundance. Evidence. >> Abundance. Evidence. >> Abundance. Evidence. >> Abundance. No. >> Abundance. No. >> Abundance. No. >> Abundance. Abundance. >> Abundance. Abundance. >> Abundance. Abundance. >> Abundance. >> Abundance. >> Abundance. >> Abundance. Sorry. Yeah. Abundance. >> Abundance. Sorry. Yeah. Abundance. >> Abundance. Sorry. Yeah. Abundance. >> Right. Cuz you saw in the trailer, you >> Right. Cuz you saw in the trailer, you >> Right. Cuz you saw in the trailer, you saw Peter Diamandis and he's, you know, saw Peter Diamandis and he's, you know, saw Peter Diamandis and he's, you know, he's on the moonshot guy and he t he has he's on the moonshot guy and he t he has he's on the moonshot guy and he t he has the abundance conference. the abundance conference. the abundance conference. >> Abundance. Yeah. >> Abundance. Yeah. >> Abundance. Yeah. >> And he believes I get sick with that >> And he believes I get sick with that >> And he believes I get sick with that concept. It's concept. It's concept. It's >> a joke. That's a freaking Yeah. What did >> a joke. That's a freaking Yeah. What did >> a joke. That's a freaking Yeah. What did I I I recently posted every every vision I I I recently posted every every vision I I I recently posted every every vision and version of the abundance theory is and version of the abundance theory is and version of the abundance theory is absolutely disturbing and looks more absolutely disturbing and looks more absolutely disturbing and looks more like different flavors of AI dystopia like different flavors of AI dystopia like different flavors of AI dystopia than a utopia. It's It's just freaking than a utopia. It's It's just freaking than a utopia. It's It's just freaking stupid.

stupid. stupid. >> Hey, remember our old buddy? >> Hey, remember our old buddy? >> Hey, remember our old buddy? >> It's freaking dumb. >> It's freaking dumb. >> It's freaking dumb. >> Remember our old buddy Andrew Yang? >> Remember our old buddy Andrew Yang? >> Remember our old buddy Andrew Yang? >> Yeah, >> Yeah, >> Yeah, >> man. He's been posting a bunch of stuff >> man. He's been posting a bunch of stuff >> man. He's been posting a bunch of stuff lately. Like, we're just going to hollow lately. Like, we're just going to hollow lately. Like, we're just going to hollow out the entire middle class. [laughter] out the entire middle class. [laughter] out the entire middle class. [laughter] >> Yeah. But you know what? People can >> Yeah. But you know what? People can >> Yeah. But you know what? People can start making cookies and start making cookies and start making cookies and >> we're going to make [laughter] cookies. >> we're going to make [laughter] cookies. >> we're going to make [laughter] cookies. >> Yeah. I mean, people are going to get >> Yeah. I mean, people are going to get >> Yeah. I mean, people are going to get hungry on those treadmills and exercise hungry on those treadmills and exercise hungry on those treadmills and exercise bikes. P power. [laughter] bikes. P power. [laughter] bikes. P power. [laughter] You know what I'm saying? You know what I'm saying? You know what I'm saying? >> Somebody's got to make cookies for all >> Somebody's got to make cookies for all >> Somebody's got to make cookies for all those people keeping the machines those people keeping the machines those people keeping the machines running. Yeah. running. Yeah. running. Yeah. >> Exactly. Or, you know, restaurants. I >> Exactly. Or, you know, restaurants. I >> Exactly. Or, you know, restaurants. I mean, you know, people still got to eat. mean, you know, people still got to eat. mean, you know, people still got to eat. People still are going to enjoy things. People still are going to enjoy things. People still are going to enjoy things. I mean, the the problem is this AI I mean, the the problem is this AI I mean, the the problem is this AI doomsday narrative and abund and the doomsday narrative and abund and the doomsday narrative and abund and the abundance narratives have just gone out abundance narratives have just gone out abundance narratives have just gone out of control. of control. of control. >> You know, it'll make your quota for >> You know, it'll make your quota for >> You know, it'll make your quota for generating electricity today. We're generating electricity today. We're generating electricity today. We're going to turn you we're going to turn going to turn you we're going to turn going to turn you we're going to turn you into Soilent green. [laughter] you into Soilent green. [laughter] you into Soilent green. [laughter] >> Yeah. Right. Which is like, you know, >> Yeah. Right. Which is like, you know, >> Yeah. Right. Which is like, you know, you get recycled in the Matrix, too, you get recycled in the Matrix, too, you get recycled in the Matrix, too, right? And you get the the young right? And you get the the young right? And you get the the young generation. But yeah, you know what it, generation. But yeah, you know what it, generation. But yeah, you know what it, you know, the people the people are the you know, the people the people are the you know, the people the people are the problem, man. I mean, bottom line, the problem, man. I mean, bottom line, the problem, man. I mean, bottom line, the technology is what it is. People just technology is what it is. People just technology is what it is. People just end up massively doing incredibly stupid end up massively doing incredibly stupid end up massively doing incredibly stupid things with technology. And that's the things with technology. And that's the things with technology. And that's the problem.

problem. problem. >> And so, we only have a single answer. >> And so, we only have a single answer. >> And so, we only have a single answer. Every time someone says, "Well, why Every time someone says, "Well, why Every time someone says, "Well, why don't we just stop or just slow down?" don't we just stop or just slow down?" don't we just stop or just slow down?" And there's only one answer and it's And there's only one answer and it's And there's only one answer and it's always China is not slowing down and always China is not slowing down and always China is not slowing down and stopping so we can't. No one ever has stopping so we can't. No one ever has stopping so we can't. No one ever has any other answer to or explanation of any other answer to or explanation of any other answer to or explanation of why we should slow down. It's like why we should slow down. It's like why we should slow down. It's like China's not. So we better go full speed China's not. So we better go full speed China's not. So we better go full speed ahead into the AI oblivion. ahead into the AI oblivion. ahead into the AI oblivion. >> Yeah. But there's a lot of ways to >> Yeah. But there's a lot of ways to >> Yeah. But there's a lot of ways to interpret that, right? Because in the interpret that, right? Because in the interpret that, right? Because in the the the western the western version of the the western the western version of the the western the western version of this [laughter] suit. >> Oh dude. >> Oh dude. >> Oh my god. OH MY GOD. >> Oh my god. OH MY GOD. >> Oh my god. OH MY GOD. >> WIRED. The US version >> WIRED. The US version >> WIRED. The US version >> just received today. >> just received today. >> just received today. >> That [ __ ] just happened >> That [ __ ] just happened >> That [ __ ] just happened >> there. No. No. No. No. Hey, put it down, >> there. No. No. No. No. Hey, put it down, >> there. No. No. No. No. Hey, put it down, dude. There's We have There's censorship dude. There's We have There's censorship dude. There's We have There's censorship out there. Believe it or not, we want out there. Believe it or not, we want out there. Believe it or not, we want everyone to know. We everyone to know. We everyone to know. We >> We have our own pirate website for our >> We have our own pirate website for our >> We have our own pirate website for our videos. videos. videos. Hey, I I'm serious, Mark. This this Hey, I I'm serious, Mark. This this Hey, I I'm serious, Mark. This this episode will get banned.

episode will get banned. episode will get banned. >> We're already banned. It's >> We're already banned. It's >> We're already banned. It's >> It's like hilarious that YouTube does >> It's like hilarious that YouTube does >> It's like hilarious that YouTube does this. this. this. >> Yeah, it it's ridiculous. >> Yeah, it it's ridiculous. >> Yeah, it it's ridiculous. >> So, we can make people to pay to watch >> So, we can make people to pay to watch >> So, we can make people to pay to watch the censored episode, actually. the censored episode, actually. the censored episode, actually. >> Yes. That's how we're going to make more >> Yes. That's how we're going to make more >> Yes. That's how we're going to make more money. money. money. >> Why we need >> Why we need >> Why we need >> Yeah, there you go. >> Yeah, there you go. >> Yeah, there you go. >> We need that gets people going. >> We need that gets people going. >> We need that gets people going. >> Yeah. >> Yeah. >> Yeah. >> Get people the direct feed. >> Get people the direct feed. >> Get people the direct feed. >> Yeah. >> Yeah. >> Yeah. It's It's crazy. And then and then we It's It's crazy. And then and then we It's It's crazy. And then and then we get censored by some uh people on US get censored by some uh people on US get censored by some uh people on US policies that uh are sitting in India policies that uh are sitting in India policies that uh are sitting in India somewhere is like freaking probably somewhere is like freaking probably somewhere is like freaking probably aentic they're probably aggravated AI aentic they're probably aggravated AI aentic they're probably aggravated AI agents that are like agents that are like agents that are like >> Mark is a marketing genius because >> Mark is a marketing genius because >> Mark is a marketing genius because people when you tell them well this people when you tell them well this people when you tell them well this content has been banned by the US content has been banned by the US content has been banned by the US government or something they want to government or something they want to government or something they want to hear it even more% Chinese government it's going to pay a Chinese government it's going to pay a You said You said You said >> clickbait. >> clickbait. >> clickbait. >> They'll think it's clickbait. I mean, >> They'll think it's clickbait. I mean, >> They'll think it's clickbait. I mean, you know, it's it's uh it's I I don't you know, it's it's uh it's I I don't you know, it's it's uh it's I I don't know. I mean, realistically, my thing is know. I mean, realistically, my thing is know. I mean, realistically, my thing is I haven't changed my stance on it. I I haven't changed my stance on it. I I haven't changed my stance on it. I mean, it it Well, you heard what I did, mean, it it Well, you heard what I did, mean, it it Well, you heard what I did, you know, because somebody used it and you know, because somebody used it and you know, because somebody used it and >> Oh, yeah.

>> Oh, yeah. >> Oh, yeah. >> internal policies and everything. As far >> internal policies and everything. As far >> internal policies and everything. As far as I'm concerned, as I'm concerned, as I'm concerned, >> I don't care how novel it is. is I don't >> I don't care how novel it is. is I don't >> I don't care how novel it is. is I don't care what you can do. Little babies care what you can do. Little babies care what you can do. Little babies dancing and all of that other old stuff. dancing and all of that other old stuff. dancing and all of that other old stuff. I mean, [laughter] cool. It's a neat I mean, [laughter] cool. It's a neat I mean, [laughter] cool. It's a neat parlor trick, but parlor trick, but parlor trick, but >> you know, we don't know >> you know, we don't know >> you know, we don't know >> what this damn tech can do and what it >> what this damn tech can do and what it >> what this damn tech can do and what it can't do. I mean, Rob, you're likely to can't do. I mean, Rob, you're likely to can't do. I mean, Rob, you're likely to get u uh you know, a little agent going get u uh you know, a little agent going get u uh you know, a little agent going after you for showing that that that after you for showing that that that after you for showing that that that trailer. I mean, it it I don't know. trailer. I mean, it it I don't know. trailer. I mean, it it I don't know. Yeah, I think it's I think it's I think Yeah, I think it's I think it's I think Yeah, I think it's I think it's I think it's u I think it's a bit crazy. Um it's u I think it's a bit crazy. Um it's u I think it's a bit crazy. Um >> yeah, no no no doubt. I mean I I had >> yeah, no no no doubt. I mean I I had >> yeah, no no no doubt. I mean I I had like a a fishing mail attack. It was for like a a fishing mail attack. It was for like a a fishing mail attack. It was for me it was clearly fake. Other folks me it was clearly fake. Other folks me it was clearly fake. Other folks would fall for it and how microtargeted would fall for it and how microtargeted would fall for it and how microtargeted it is and how it leverages your personal it is and how it leverages your personal it is and how it leverages your personal information. It's it's like holy crap. information. It's it's like holy crap. information. It's it's like holy crap. It wasn't like that before. Right. It wasn't like that before. Right. It wasn't like that before. Right. >> Right. It's like something that looks >> Right. It's like something that looks >> Right. It's like something that looks immensely immensely immensely authentic and that that's just the front authentic and that that's just the front authentic and that that's just the front end of all this devastate, you know, end of all this devastate, you know, end of all this devastate, you know, this volume, massive volume of this volume, massive volume of this volume, massive volume of devastated devastating things that could devastated devastating things that could devastated devastating things that could happen. We've talked about it on the happen. We've talked about it on the happen. We've talked about it on the show already. If if this income show already. If if this income show already. If if this income inequality continues and we have all inequality continues and we have all inequality continues and we have all these billionaires and trillionaires these billionaires and trillionaires these billionaires and trillionaires amassing all the wealth, guess what?

amassing all the wealth, guess what? amassing all the wealth, guess what? Everyone else is going to resort to Everyone else is going to resort to Everyone else is going to resort to crime one way or the other. They got to crime one way or the other. They got to crime one way or the other. They got to feed themselves. They got to feed their feed themselves. They got to feed their feed themselves. They got to feed their families. Desperation, families. Desperation, families. Desperation, um, poverty breeds a bunch of stuff that um, poverty breeds a bunch of stuff that um, poverty breeds a bunch of stuff that societies, uh, want to eliminate, right? societies, uh, want to eliminate, right? societies, uh, want to eliminate, right? They want to reduce that through, you They want to reduce that through, you They want to reduce that through, you know, degrees of equity and, uh, know, degrees of equity and, uh, know, degrees of equity and, uh, opportunity. opportunity. opportunity. And um when you deprive that of people, And um when you deprive that of people, And um when you deprive that of people, you know what? They're going to resort you know what? They're going to resort you know what? They're going to resort to all the, you know, cyber criminal um to all the, you know, cyber criminal um to all the, you know, cyber criminal um they're going to contribute to that that they're going to contribute to that that they're going to contribute to that that economy. And guess what? We're not going economy. And guess what? We're not going economy. And guess what? We're not going to be able to trust anything. It's going to be able to trust anything. It's going to be able to trust anything. It's going to be through the roof what people do. to be through the roof what people do. to be through the roof what people do. >> Yeah. The only person >> Yeah. The only person >> Yeah. The only person >> and it's so easy to do it now. >> and it's so easy to do it now. >> and it's so easy to do it now. >> The only person I trust is Sarah Connor. >> The only person I trust is Sarah Connor. >> The only person I trust is Sarah Connor. [laughter] >> Choose all the tiles that are Sarah >> Choose all the tiles that are Sarah Connor. This is AI [laughter] trying to Connor. This is AI [laughter] trying to Connor. This is AI [laughter] trying to find out find out find out >> that you're not Terminator.

>> that you're not Terminator. >> that you're not Terminator. >> AI is already trying to find out who >> AI is already trying to find out who >> AI is already trying to find out who Sarah Connor is and where she's located. Sarah Connor is and where she's located. Sarah Connor is and where she's located. [laughter] >> Hey, I mean, you know what though? But >> Hey, I mean, you know what though? But look at it. Look at it like this. So, look at it. Look at it like this. So, look at it. Look at it like this. So, forget the forget the the companies and forget the forget the the companies and forget the forget the the companies and everything that are that are using everything that are that are using everything that are that are using uh these transformers and whatnot. Um, uh these transformers and whatnot. Um, uh these transformers and whatnot. Um, people indiv individuals are using it. people indiv individuals are using it. people indiv individuals are using it. They're sitting at home and they're and They're sitting at home and they're and They're sitting at home and they're and they're feeding the beast. Now, the only they're feeding the beast. Now, the only they're feeding the beast. Now, the only question that I'll ask is how many of question that I'll ask is how many of question that I'll ask is how many of the general populace have monitors on the general populace have monitors on the general populace have monitors on their outbound traffic and understand their outbound traffic and understand their outbound traffic and understand what data is being exchanged. Oh, mine what data is being exchanged. Oh, mine what data is being exchanged. Oh, mine is local. Is it really? is local. Is it really? is local. Is it really? >> Yeah, >> Yeah, >> Yeah, >> that's monitoring traffic to understand >> that's monitoring traffic to understand >> that's monitoring traffic to understand what's being sent and where it's going. what's being sent and where it's going. what's being sent and where it's going. >> Good point. >> Good point. >> Good point. >> Yeah. Not only that, I mean a lot of >> Yeah. Not only that, I mean a lot of >> Yeah. Not only that, I mean a lot of cyber it's like we're like, "Okay, we cyber it's like we're like, "Okay, we cyber it's like we're like, "Okay, we don't want someone to break in. We don't don't want someone to break in. We don't don't want someone to break in. We don't want someone to break in." It's like, want someone to break in." It's like, want someone to break in." It's like, you're opening the door. The door is you're opening the door. The door is you're opening the door. The door is open. They don't have to break anything.

open. They don't have to break anything. open. They don't have to break anything. You're giving them everything. You know You're giving them everything. You know You're giving them everything. You know what I'm saying? Like, people should what I'm saying? Like, people should what I'm saying? Like, people should know what's happening in your house. But know what's happening in your house. But know what's happening in your house. But if you're giving all this stuff to the if you're giving all this stuff to the if you're giving all this stuff to the internet, someone wants that internet, someone wants that internet, someone wants that information. Someone's going to pay for information. Someone's going to pay for information. Someone's going to pay for that. You know what I'm saying? And a that. You know what I'm saying? And a that. You know what I'm saying? And a lot of these taxers are saying the lot of these taxers are saying the lot of these taxers are saying the reason why they're so good now is reason why they're so good now is reason why they're so good now is because they're telling you things that because they're telling you things that because they're telling you things that you're like, how could that person or you're like, how could that person or you're like, how could that person or how could this company even know that? how could this company even know that? how could this company even know that? So it gives them it gives them more So it gives them it gives them more So it gives them it gives them more credibility in their eyes of someone who credibility in their eyes of someone who credibility in their eyes of someone who will fall for an attack. It's like, oh, will fall for an attack. It's like, oh, will fall for an attack. It's like, oh, this must be my bank cuz how could they this must be my bank cuz how could they this must be my bank cuz how could they know this? know this? know this? >> They know. >> They know. >> They know. >> Yeah. I got I actually got an email the >> Yeah. I got I actually got an email the >> Yeah. I got I actually got an email the other day uh from an employee asking other day uh from an employee asking other day uh from an employee asking saying they wanted to change their saying they wanted to change their saying they wanted to change their withholding and you know can you help me withholding and you know can you help me withholding and you know can you help me get into the whatever payroll thing to get into the whatever payroll thing to get into the whatever payroll thing to change my withholding stuff and change my withholding stuff and change my withholding stuff and >> so I just of course I checked and of >> so I just of course I checked and of >> so I just of course I checked and of course it was coming from an employee course it was coming from an employee course it was coming from an employee that doesn't work here anymore so of that doesn't work here anymore so of that doesn't work here anymore so of course I knew something was up but it course I knew something was up but it course I knew something was up but it was coming it said it was from them but was coming it said it was from them but was coming it said it was from them but it was actually the email address was it was actually the email address was it was actually the email address was somewhere else. So had somewhere else. So had somewhere else. So had >> picked up that person's name, emailed >> picked up that person's name, emailed >> picked up that person's name, emailed me, you know, asked me this kind of me, you know, asked me this kind of me, you know, asked me this kind of leading question and uh so it's very leading question and uh so it's very leading question and uh so it's very well very well targeted.

well very well targeted. well very well targeted. >> Yeah. I mean, so we can't trust >> Yeah. I mean, so we can't trust >> Yeah. I mean, so we can't trust anything. We have to we have to verify. anything. We have to we have to verify. anything. We have to we have to verify. There's a cost in having to verify. There's a cost in having to verify. There's a cost in having to verify. Then you have all these companies that Then you have all these companies that Then you have all these companies that are then leveraging the tool and are then leveraging the tool and are then leveraging the tool and exposing their operations and their exposing their operations and their exposing their operations and their business to all kinds of risks where you business to all kinds of risks where you business to all kinds of risks where you know now you've trained an open model uh know now you've trained an open model uh know now you've trained an open model uh with a bunch of information about your with a bunch of information about your with a bunch of information about your company because you know there are company because you know there are company because you know there are vendors out there ISVS and otherwise who vendors out there ISVS and otherwise who vendors out there ISVS and otherwise who are saying well we you know we can train are saying well we you know we can train are saying well we you know we can train your you know you we just need to get your you know you we just need to get your you know you we just need to get your corporate data And then our your corporate data And then our your corporate data And then our platform is going to go exponential, platform is going to go exponential, platform is going to go exponential, right? Well, why would you want to do right? Well, why would you want to do right? Well, why would you want to do that? Then whatever you provide this that? Then whatever you provide this that? Then whatever you provide this thing, it's going to never forget it. thing, it's going to never forget it. thing, it's going to never forget it. You can't control it. It will overshare You can't control it. It will overshare You can't control it. It will overshare >> and then you have to then as an >> and then you have to then as an >> and then you have to then as an organization in order to reconstitute organization in order to reconstitute organization in order to reconstitute your security, right, and your security, right, and your security, right, and confidentiality, you have to go and undo confidentiality, you have to go and undo confidentiality, you have to go and undo all of that. So there's a whole new post all of that. So there's a whole new post all of that. So there's a whole new post let's say uh AI catastrophe let's say uh AI catastrophe let's say uh AI catastrophe transformation you would have to do and transformation you would have to do and transformation you would have to do and literally literally literally uh probably 90% of it is unreoverable uh probably 90% of it is unreoverable uh probably 90% of it is unreoverable you know because d the data by your you know because d the data by your you know because d the data by your company most of it is historic it's not company most of it is historic it's not company most of it is historic it's not the stuff going forward so you know the stuff going forward so you know the stuff going forward so you know enterprises are going to screw enterprises are going to screw enterprises are going to screw themselves big time because I I you know

themselves big time because I I you know themselves big time because I I you know a lot of you guys probably know Bill a lot of you guys probably know Bill a lot of you guys probably know Bill definitely knows this is why he doesn't definitely knows this is why he doesn't definitely knows this is why he doesn't touch this touch this touch this At some point, these companies are going At some point, these companies are going At some point, these companies are going to realize they made the biggest mistake to realize they made the biggest mistake to realize they made the biggest mistake of their life, their existence. of their life, their existence. of their life, their existence. >> Yeah. >> Yeah. >> Yeah. >> Because they I know when they started >> Because they I know when they started >> Because they I know when they started these projects, they did not talk about these projects, they did not talk about these projects, they did not talk about security. They didn't talk about 95% of security. They didn't talk about 95% of security. They didn't talk about 95% of the stuff we've been talking about for 3 the stuff we've been talking about for 3 the stuff we've been talking about for 3 years. Seriously, in you know, this years. Seriously, in you know, this years. Seriously, in you know, this progression of this whole thing, they progression of this whole thing, they progression of this whole thing, they have never they are only starting to have never they are only starting to have never they are only starting to talk about, guys. talk about, guys. talk about, guys. >> Yeah. >> Yeah. >> Yeah. and security and safety. They're only and security and safety. They're only and security and safety. They're only talking about it talking about it talking about it >> three years after they've been screwing >> three years after they've been screwing >> three years after they've been screwing around with this crap around with this crap around with this crap >> without regard for any of that stuff. >> without regard for any of that stuff. >> without regard for any of that stuff. >> Right. >> Right. >> Right. >> Right. Wards, how much did the boards >> Right. Wards, how much did the boards >> Right. Wards, how much did the boards putting pressure on teams? How much do putting pressure on teams? How much do putting pressure on teams? How much do they know about this stuff? they know about this stuff? they know about this stuff? >> Accenture, >> Accenture, >> Accenture, >> they know all about this. >> they know all about this. >> they know all about this. >> Yeah. Right. >> Yeah. Right. >> Yeah. Right. >> I mean, it you it's this. Okay. I mean >> I mean, it you it's this. Okay. I mean >> I mean, it you it's this. Okay. I mean look bottom line and and this is the look bottom line and and this is the look bottom line and and this is the painful part of it.

painful part of it. painful part of it. >> Yeah. >> Yeah. >> Yeah. >> Let's just go foundation >> Let's just go foundation >> Let's just go foundation >> preach man preach >> preach man preach >> preach man preach >> that education >> that education >> that education from the foundation side OSInt. >> Okay let's start there. educate yourself >> Okay let's start there. educate yourself on the numerous tools that are available on the numerous tools that are available on the numerous tools that are available for OSINT and start there and all of a for OSINT and start there and all of a for OSINT and start there and all of a sudden you'll become a bit concerned sudden you'll become a bit concerned sudden you'll become a bit concerned about just your normal internet behavior about just your normal internet behavior about just your normal internet behavior just your norm forget agents just your just your norm forget agents just your just your norm forget agents just your normal behavior normal behavior normal behavior >> because now you see these platforms >> because now you see these platforms >> because now you see these platforms saying hey wait a minute let us co-work saying hey wait a minute let us co-work saying hey wait a minute let us co-work with you with you with you >> feed us all of the stuff that you put >> feed us all of the stuff that you put >> feed us all of the stuff that you put your schemas, put your architectures, your schemas, put your architectures, your schemas, put your architectures, give us all of this stuff, give us all of this stuff, give us all of this stuff, >> your cassette knowledge >> your cassette knowledge >> your cassette knowledge >> and we will work with you. Oh, you can >> and we will work with you. Oh, you can >> and we will work with you. Oh, you can have an agent. Don't worry, it's closed. have an agent. Don't worry, it's closed. have an agent. Don't worry, it's closed. You have no OSI int knowledge. You don't You have no OSI int knowledge. You don't You have no OSI int knowledge. You don't know what recursion is. You don't know know what recursion is. You don't know know what recursion is. You don't know what any of these things are or how they what any of these things are or how they what any of these things are or how they will impact your activity.

will impact your activity. will impact your activity. >> Yes. >> Yes. >> Yes. >> Let's just start with the foundation. >> Let's just start with the foundation. >> Let's just start with the foundation. >> You're right. I feel like >> You're right. I feel like >> You're right. I feel like >> I feel like IoT coffee talk is a great >> I feel like IoT coffee talk is a great >> I feel like IoT coffee talk is a great source of open source intelligence source of open source intelligence source of open source intelligence because we put a lot of good stuff out because we put a lot of good stuff out because we put a lot of good stuff out there there there >> unabashedly. Yeah. >> unabashedly. Yeah. >> unabashedly. Yeah. >> I mean my I have a multitude of concerns >> I mean my I have a multitude of concerns >> I mean my I have a multitude of concerns here but the things that I'm I'm really here but the things that I'm I'm really here but the things that I'm I'm really concerned and this is what Bill's concerned and this is what Bill's concerned and this is what Bill's talking about. I guess I'm going step a talking about. I guess I'm going step a talking about. I guess I'm going step a little bit forward to this and it's like little bit forward to this and it's like little bit forward to this and it's like the things that you're doing now with AI the things that you're doing now with AI the things that you're doing now with AI that you think are so cute. You cannot that you think are so cute. You cannot that you think are so cute. You cannot they cannot be undone. they cannot be undone. they cannot be undone. Okay. [laughter] So Okay. [laughter] So Okay. [laughter] So there's that. there's that. there's that. >> Yeah. >> Yeah. >> Yeah. >> Oops. >> Oops. >> Oops. >> Well, you know, that's like the right to >> Well, you know, that's like the right to >> Well, you know, that's like the right to be forgotten, which literally does be forgotten, which literally does be forgotten, which literally does exist. exist. exist. >> Good [laughter] luck. >> Good [laughter] luck. >> Good [laughter] luck. >> Right. Good luck. You're >> Right. Good luck. You're >> Right. Good luck. You're >> This is a pure impossibility with these >> This is a pure impossibility with these >> This is a pure impossibility with these things. things. things. >> Yeah. >> Yeah. >> Yeah. >> Oh my god. >> Oh my god. >> Oh my god. >> Oh my god. Yeah. I mean, people just >> Oh my god. Yeah. I mean, people just >> Oh my god. Yeah. I mean, people just don't know. It's just really insane. So, don't know. It's just really insane. So, don't know. It's just really insane. So, you know, we talked about um you know, you know, we talked about um you know, you know, we talked about um you know, I've been talking about this enterprise I've been talking about this enterprise I've been talking about this enterprise brain thing and just use your brain thing and just use your brain thing and just use your infrastructure, air gap, do the infrastructure, air gap, do the infrastructure, air gap, do the pre-trained model, tune it with your pre-trained model, tune it with your pre-trained model, tune it with your stuff, don't use and and so I keep stuff, don't use and and so I keep stuff, don't use and and so I keep hearing little stories to reinforce that hearing little stories to reinforce that hearing little stories to reinforce that that's probably a better way to do it.

that's probably a better way to do it. that's probably a better way to do it. >> It may not be as bleeding edge smart as >> It may not be as bleeding edge smart as >> It may not be as bleeding edge smart as frontier models, you know, from open AI frontier models, you know, from open AI frontier models, you know, from open AI or anthropic, but good enough might be or anthropic, but good enough might be or anthropic, but good enough might be good enough. Uh I was talking I go to a good enough. Uh I was talking I go to a good enough. Uh I was talking I go to a thing every Friday morning and startups thing every Friday morning and startups thing every Friday morning and startups anyway this one guy I was talking to his anyway this one guy I was talking to his anyway this one guy I was talking to his company had been training a model he company had been training a model he company had been training a model he said I won't tell you which cloud it is said I won't tell you which cloud it is said I won't tell you which cloud it is but it had the whole system was model but it had the whole system was model but it had the whole system was model they provided us and we've been doing they provided us and we've been doing they provided us and we've been doing all this work for months training it all this work for months training it all this work for months training it with all their company data and with all their company data and with all their company data and everything and then they just shut it everything and then they just shut it everything and then they just shut it down the cloud provider the hyperscaler down the cloud provider the hyperscaler down the cloud provider the hyperscaler shut it down pulled the rug out from shut it down pulled the rug out from shut it down pulled the rug out from under and said uh we're no longer under and said uh we're no longer under and said uh we're no longer supporting that model and they just supporting that model and they just supporting that model and they just didn't even care that the company had didn't even care that the company had didn't even care that the company had put all this time and effort into doing put all this time and effort into doing put all this time and effort into doing this activity. I'm like, you just man, this activity. I'm like, you just man, this activity. I'm like, you just man, you just got screwed. you just got screwed. you just got screwed. >> That's the rule. That's the rule that uh >> That's the rule. That's the rule that uh >> That's the rule. That's the rule that uh let's see confiscation is nine10 of let's see confiscation is nine10 of let's see confiscation is nine10 of possession and possession is 9/10 of the possession and possession is 9/10 of the possession and possession is 9/10 of the law. [laughter] law. [laughter] law. [laughter] >> If I steal it, it's mine. Damn it.

>> If I steal it, it's mine. Damn it. >> If I steal it, it's mine. Damn it. >> Right. >> Right. >> Right. Yeah, Yeah, Yeah, >> that same company is probably going to >> that same company is probably going to >> that same company is probably going to take all their work and like come out take all their work and like come out take all their work and like come out with a product that they can't do with a product that they can't do with a product that they can't do anything about like the crap. anything about like the crap. anything about like the crap. >> Absolutely. >> Absolutely. >> Absolutely. >> That's why I mean, you know, I I've >> That's why I mean, you know, I I've >> That's why I mean, you know, I I've never fed a context window of any of never fed a context window of any of never fed a context window of any of these systems. uh if I do it's just these systems. uh if I do it's just these systems. uh if I do it's just going to be trash just to experiment and going to be trash just to experiment and going to be trash just to experiment and then see what does it produce or can it then see what does it produce or can it then see what does it produce or can it translate intent or any kind of translate intent or any kind of translate intent or any kind of expressed vision or expectations into a expressed vision or expectations into a expressed vision or expectations into a reasonable output. Right? never put any reasonable output. Right? never put any reasonable output. Right? never put any of my personal information like these of my personal information like these of my personal information like these psychos that go out and like literally psychos that go out and like literally psychos that go out and like literally put their medical records into these put their medical records into these put their medical records into these things to get things to get things to get >> and then to go to the doctor and start >> and then to go to the doctor and start >> and then to go to the doctor and start arguing with them like they somehow know arguing with them like they somehow know arguing with them like they somehow know more than the doctor, right? more than the doctor, right? more than the doctor, right? >> Yeah. >> Yeah. >> Yeah. >> I mean, think about the pain in the ass. >> I mean, think about the pain in the ass. >> I mean, think about the pain in the ass. >> Huh? What? >> Huh? What? >> Huh? What? >> I did my own research. I did >> I did my own research. I did >> I did my own research. I did >> I did my own research and I think you're >> I did my own research and I think you're >> I did my own research and I think you're wrong, doctor.

wrong, doctor. wrong, doctor. >> [laughter] >> [laughter] >> [laughter] >> You don't know what you're talking >> You don't know what you're talking >> You don't know what you're talking about, doctor. about, doctor. about, doctor. >> There was a guy who had um was for I I I >> There was a guy who had um was for I I I >> There was a guy who had um was for I I I don't know, maybe this goes back to what don't know, maybe this goes back to what don't know, maybe this goes back to what Bill was talking about foundational. Bill was talking about foundational. Bill was talking about foundational. It's like, do we not have common sense It's like, do we not have common sense It's like, do we not have common sense at all? Uh this guy was saying he had at all? Uh this guy was saying he had at all? Uh this guy was saying he had done all this research. He he was doing done all this research. He he was doing done all this research. He he was doing this project for two years and he had this project for two years and he had this project for two years and he had put this thing in this chatbot or put this thing in this chatbot or put this thing in this chatbot or something and it like he changed a something and it like he changed a something and it like he changed a setting and it like deleted all his setting and it like deleted all his setting and it like deleted all his stuff for two years or worked. I'm like, stuff for two years or worked. I'm like, stuff for two years or worked. I'm like, but why would you put it in there? That but why would you put it in there? That but why would you put it in there? That does not make a bit of sense. What the does not make a bit of sense. What the does not make a bit of sense. What the hell are you doing? hell are you doing? hell are you doing? >> Like the modern awards, you know? It's >> Like the modern awards, you know? It's >> Like the modern awards, you know? It's >> the modern Darwin award. You're right. I >> the modern Darwin award. You're right. I >> the modern Darwin award. You're right. I love that. love that. love that. >> Yeah. Like that's such a bad idea. >> Yeah. Like that's such a bad idea. >> Yeah. Like that's such a bad idea. >> It It's just a different version of >> It It's just a different version of >> It It's just a different version of idiocracy. Quite literally, you know, it idiocracy. Quite literally, you know, it idiocracy. Quite literally, you know, it it it's just it it's just it it's just >> unfaking believable. It's It's like an >> unfaking believable. It's It's like an >> unfaking believable. It's It's like an accelerator. Pete, I think you should accelerator. Pete, I think you should accelerator. Pete, I think you should like post every week maybe a new AI like post every week maybe a new AI like post every week maybe a new AI Darwin award winner. You know, Darwin award winner. You know, Darwin award winner. You know, [laughter] [laughter] [laughter] we'll scour the internet for someone who we'll scour the internet for someone who we'll scour the internet for someone who did something really stupid.

did something really stupid. did something really stupid. >> Darwin.ai. I think I need to get that >> Darwin.ai. I think I need to get that >> Darwin.ai. I think I need to get that domain name. domain name. domain name. >> Yeah. Yeah. Yeah. That would be really >> Yeah. Yeah. Yeah. That would be really >> Yeah. Yeah. Yeah. That would be really good. good. good. >> Oh, yeah. The guy has literally taken >> Oh, yeah. The guy has literally taken >> Oh, yeah. The guy has literally taken over everything. I mean, we we're over everything. I mean, we we're over everything. I mean, we we're [clears throat] dealing with we're [clears throat] dealing with we're [clears throat] dealing with we're dealing with customers today that will dealing with customers today that will dealing with customers today that will look at the Twin, they'll go, "This is look at the Twin, they'll go, "This is look at the Twin, they'll go, "This is awesome. It's real time insight. It's awesome. It's real time insight. It's awesome. It's real time insight. It's what's happening for us right now. Um, what's happening for us right now. Um, what's happening for us right now. Um, how do we chat to it?" I'm like, "You how do we chat to it?" I'm like, "You how do we chat to it?" I'm like, "You don't." don't." don't." >> Right. Exactly. [laughter] >> Right. Exactly. [laughter] >> Right. Exactly. [laughter] >> You don't. All right. This is >> You don't. All right. This is >> You don't. All right. This is operational insight in real time. I tell operational insight in real time. I tell operational insight in real time. I tell you what you want to do. If you really you what you want to do. If you really you what you want to do. If you really want to have a chat with that want to have a chat with that want to have a chat with that We'll build you another twin over here. We'll build you another twin over here. We'll build you another twin over here. You can get your little 3D model, pretty You can get your little 3D model, pretty You can get your little 3D model, pretty twin. We'll unidirectionally feed the twin. We'll unidirectionally feed the twin. We'll unidirectionally feed the insight data to that. Keep the model insight data to that. Keep the model insight data to that. Keep the model updated. You can have a conversation updated. You can have a conversation updated. You can have a conversation with that all you want, with that all you want, with that all you want, >> but you do not talk to a true north >> but you do not talk to a true north >> but you do not talk to a true north twin. twin. twin. >> Yeah, there you go. Wow.

>> Yeah, there you go. Wow. >> Yeah, there you go. Wow. >> From true north twin, >> From true north twin, >> From true north twin, >> but you know that that see and see this >> but you know that that see and see this >> but you know that that see and see this is why anyone of you out there that are is why anyone of you out there that are is why anyone of you out there that are starting to get into this digital twin starting to get into this digital twin starting to get into this digital twin conversation, you need to listen to IoT conversation, you need to listen to IoT conversation, you need to listen to IoT coffee talk. We've hashed this out for coffee talk. We've hashed this out for coffee talk. We've hashed this out for years. And what I think Bill you just years. And what I think Bill you just years. And what I think Bill you just pointed out that sort of segregation of pointed out that sort of segregation of pointed out that sort of segregation of um of duties of what a digital twin does um of duties of what a digital twin does um of duties of what a digital twin does and what it is versus let's say the and what it is versus let's say the and what it is versus let's say the model and you know everything else that model and you know everything else that model and you know everything else that it's it's an important concept, right? it's it's an important concept, right? it's it's an important concept, right? Um, and then from a security standpoint Um, and then from a security standpoint Um, and then from a security standpoint to also segregate things and make sure to also segregate things and make sure to also segregate things and make sure that you're not doing goofy crap with that you're not doing goofy crap with that you're not doing goofy crap with data within the context of operations data within the context of operations data within the context of operations and management of an infrastructure or and management of an infrastructure or and management of an infrastructure or what you know like a plant or if it's a what you know like a plant or if it's a what you know like a plant or if it's a smart city. Um, this this thinking is so immature this this thinking is so immature and there's a lot of misinformation out and there's a lot of misinformation out and there's a lot of misinformation out there already. You know these jokers who there already. You know these jokers who there already. You know these jokers who go around just like the ones that prompt go around just like the ones that prompt go around just like the ones that prompt engineers going telling everyone, hey, engineers going telling everyone, hey, engineers going telling everyone, hey, you know, you you can do agentic crap by you know, you you can do agentic crap by you know, you you can do agentic crap by uh giving your credit card number and uh giving your credit card number and uh giving your credit card number and your, you know, frequent flyer account your, you know, frequent flyer account your, you know, frequent flyer account information credentials to, you know, information credentials to, you know, information credentials to, you know, chat and it can agentically book and run chat and it can agentically book and run chat and it can agentically book and run your entire life. You never have to, you your entire life. You never have to, you your entire life. You never have to, you know, go and look for a hotel room ever know, go and look for a hotel room ever know, go and look for a hotel room ever again. It'll predictively do all this again. It'll predictively do all this again. It'll predictively do all this crap. This this is the same thing with

crap. This this is the same thing with crap. This this is the same thing with those Yahoos, right? that we're seeing those Yahoos, right? that we're seeing those Yahoos, right? that we're seeing now with these folks trying to get into now with these folks trying to get into now with these folks trying to get into this whole Neo digital twin discussion. this whole Neo digital twin discussion. this whole Neo digital twin discussion. But we've already hashed this out. But we've already hashed this out. But we've already hashed this out. >> I think it's I think it's cool. >> I think it's I think it's cool. >> I think it's I think it's cool. [clears throat] We need to have a larger [clears throat] We need to have a larger [clears throat] We need to have a larger community that is exchanging ideas. community that is exchanging ideas. community that is exchanging ideas. Everyone is so worried about competition Everyone is so worried about competition Everyone is so worried about competition >> and not realizing that there is enough >> and not realizing that there is enough >> and not realizing that there is enough out here for everyone. out here for everyone. out here for everyone. >> Yeah. >> Yeah. >> Yeah. >> Quit worrying about competition. Oh, >> Quit worrying about competition. Oh, >> Quit worrying about competition. Oh, well, my twin No. well, my twin No. well, my twin No. All right, look. The best of both worlds All right, look. The best of both worlds All right, look. The best of both worlds is [clears throat and cough] an is [clears throat and cough] an is [clears throat and cough] an operational twin plus a model. It's operational twin plus a model. It's operational twin plus a model. It's going to help urban planning. It's going going to help urban planning. It's going going to help urban planning. It's going to help all of that other stuff. The two to help all of that other stuff. The two to help all of that other stuff. The two combined create the best of both worlds. combined create the best of both worlds. combined create the best of both worlds. >> Are we out here trying to, you know, uh >> Are we out here trying to, you know, uh >> Are we out here trying to, you know, uh deal with how you build? I'm like, no, deal with how you build? I'm like, no, deal with how you build? I'm like, no, it the amount of work it takes to build it the amount of work it takes to build it the amount of work it takes to build those 3D models, I mean, effectively, those 3D models, I mean, effectively, those 3D models, I mean, effectively, realistically, is huge. It's a realistically, is huge. It's a realistically, is huge. It's a significant amount of work. significant amount of work. significant amount of work. >> Yeah. and cost prohibitive in lot for a >> Yeah. and cost prohibitive in lot for a >> Yeah. and cost prohibitive in lot for a lot of applications. So yeah, I mean you lot of applications. So yeah, I mean you lot of applications. So yeah, I mean you know no that's it's so true but I don't know no that's it's so true but I don't know no that's it's so true but I don't know if we need a better a bigger know if we need a better a bigger know if we need a better a bigger community to opine about [ __ ] I mean community to opine about [ __ ] I mean community to opine about [ __ ] I mean there's like people who've already there's like people who've already there's like people who've already figured it out is like listen to those figured it out is like listen to those figured it out is like listen to those people stop listening to these other people stop listening to these other people stop listening to these other jokers who make it into a fad or try to jokers who make it into a fad or try to jokers who make it into a fad or try to create a hype around it that misdirect create a hype around it that misdirect create a hype around it that misdirect everyone from you know doing the hard everyone from you know doing the hard everyone from you know doing the hard work.

work. work. >> Yeah. >> Yeah. >> Yeah. >> They try to make it sound like it's so >> They try to make it sound like it's so >> They try to make it sound like it's so freaking simple. It's and that's the freaking simple. It's and that's the freaking simple. It's and that's the thing that pisses me off as I'm looking thing that pisses me off as I'm looking thing that pisses me off as I'm looking at all these people trying to do AI at all these people trying to do AI at all these people trying to do AI crap. I'm listen watching them going, crap. I'm listen watching them going, crap. I'm listen watching them going, "Oh my god, you haven't figured that out "Oh my god, you haven't figured that out "Oh my god, you haven't figured that out yet? Oh, you don't even know that that yet? Oh, you don't even know that that yet? Oh, you don't even know that that this is what this is what this is what >> it it's >> it it's >> it it's a big difference between it's a big a big difference between it's a big a big difference between it's a big difference between novelty and difference between novelty and difference between novelty and operations, right? So, operations, right? So, operations, right? So, >> we have a lot of people trying to dress >> we have a lot of people trying to dress >> we have a lot of people trying to dress up novelty as though it can be up novelty as though it can be up novelty as though it can be operational. It just does not work that operational. It just does not work that operational. It just does not work that way." M yeah and they struggle they way." M yeah and they struggle they way." M yeah and they struggle they struggle with context too and figuring struggle with context too and figuring struggle with context too and figuring out okay what does this thing really out okay what does this thing really out okay what does this thing really solve in the context of what I do or solve in the context of what I do or solve in the context of what I do or what the business is trying to do or how what the business is trying to do or how what the business is trying to do or how the business operates the business operates the business operates and they really struggle with it. and they really struggle with it. and they really struggle with it. >> Yeah. Anyway, what what is it? >> Yeah. Anyway, what what is it? >> Yeah. Anyway, what what is it? >> I was going to just take us to some >> I was going to just take us to some >> I was going to just take us to some other tech news. our friends Charlie Key other tech news. our friends Charlie Key other tech news. our friends Charlie Key and Brandon Kennedy and company at and Brandon Kennedy and company at and Brandon Kennedy and company at >> Lickquired >> Lickquired >> Lickquired by Seuss Susay, you know, the Linux by Seuss Susay, you know, the Linux by Seuss Susay, you know, the Linux guys.

guys. guys. >> Yeah. >> Yeah. >> Yeah. >> Yeah. That was big news yesterday. >> Yeah. That was big news yesterday. >> Yeah. That was big news yesterday. >> It was. It was. That's uh you know, so >> It was. It was. That's uh you know, so >> It was. It was. That's uh you know, so >> good guys. Really good guys. >> good guys. Really good guys. >> good guys. Really good guys. >> I think I I think I don't know. I look >> I think I I think I don't know. I look >> I think I I think I don't know. I look the the team over there is great. Yes. I the the team over there is great. Yes. I the the team over there is great. Yes. I I just don't know about that I just don't know about that I just don't know about that acquisition. acquisition. acquisition. >> Well, tell tell us more. >> Well, tell tell us more. >> Well, tell tell us more. >> I'm just I'm just saying. I mean, when >> I'm just I'm just saying. I mean, when >> I'm just I'm just saying. I mean, when you when you look at it, I'm like, okay, you when you look at it, I'm like, okay, you when you look at it, I'm like, okay, I don't know. See goes private, right? I don't know. See goes private, right? I don't know. See goes private, right? They're held by private equity. They're held by private equity. They're held by private equity. >> You know, they the talk track is they're >> You know, they the talk track is they're >> You know, they the talk track is they're building, you know, they've been slowly building, you know, they've been slowly building, you know, they've been slowly piecing together, you know, everybody piecing together, you know, everybody piecing together, you know, everybody knows them from Linux from a long time knows them from Linux from a long time knows them from Linux from a long time ago. And then they've been trying to do ago. And then they've been trying to do ago. And then they've been trying to do all these open- source things and all these open- source things and all these open- source things and they've been and [clears throat] you they've been and [clears throat] you they've been and [clears throat] you know all in with the edge computing and know all in with the edge computing and know all in with the edge computing and they're all in with Kubernetes and they're all in with Kubernetes and they're all in with Kubernetes and they've been kind built I remember when they've been kind built I remember when they've been kind built I remember when they did got Rancher and they anyway they did got Rancher and they anyway they did got Rancher and they anyway they're piecing together [laughter] they're piecing together [laughter] they're piecing together [laughter] they're Do you remember Rancher? Yeah.

they're Do you remember Rancher? Yeah. they're Do you remember Rancher? Yeah. >> Oh my god. >> Oh my god. >> Oh my god. >> Yeah. Exactly. And so they've been >> Yeah. Exactly. And so they've been >> Yeah. Exactly. And so they've been piecing together all this stuff, but but piecing together all this stuff, but but piecing together all this stuff, but but I'd say what they have is a lot of I'd say what they have is a lot of I'd say what they have is a lot of infrastructure infrastructure infrastructure >> and what they did not have is actual >> and what they did not have is actual >> and what they did not have is actual something to bring it all to life. And something to bring it all to life. And something to bring it all to life. And so whether Loan ends up doing that form, so whether Loan ends up doing that form, so whether Loan ends up doing that form, I know they wanted to. It's a great I know they wanted to. It's a great I know they wanted to. It's a great platform for sure. Um anyway, it's it I platform for sure. Um anyway, it's it I platform for sure. Um anyway, it's it I think it if they want to if they're all think it if they want to if they're all think it if they want to if they're all in with industrial stuff like they say in with industrial stuff like they say in with industrial stuff like they say they want to be and and really do that they want to be and and really do that they want to be and and really do that edge thing and do the OT it um I think edge thing and do the OT it um I think edge thing and do the OT it um I think they've got a chance. They certainly they've got a chance. They certainly they've got a chance. They certainly have great platform to do it with with have great platform to do it with with have great platform to do it with with Los. Um and then Los. Um and then Los. Um and then >> million in one puzzle pieces. >> million in one puzzle pieces. >> million in one puzzle pieces. >> Yeah, >> Yeah, >> Yeah, >> that's right. That's true. And the other >> that's right. That's true. And the other >> that's right. That's true. And the other the other blurb was that they're going the other blurb was that they're going the other blurb was that they're going to opensource Land to opensource Land to opensource Land platform. So platform. So platform. So >> yeah, >> yeah, >> yeah, >> I don't know. >> I don't know. >> I don't know. >> It's like weird that platforms have not >> It's like weird that platforms have not >> It's like weird that platforms have not done that well. Um, and I think the the done that well. Um, and I think the the done that well. Um, and I think the the problem is is this. Um, what's it, you problem is is this. Um, what's it, you problem is is this. Um, what's it, you know, with every IoTish know, with every IoTish know, with every IoTish project, you got to do the stuff that project, you got to do the stuff that project, you got to do the stuff that True North does. You got to get dirty True North does. You got to get dirty True North does. You got to get dirty and you have to deal with nuances, and you have to deal with nuances, and you have to deal with nuances, specifics, stuff that is not the way specifics, stuff that is not the way specifics, stuff that is not the way that your pretty architectural diagram that your pretty architectural diagram that your pretty architectural diagram or your platform assumes.

or your platform assumes. or your platform assumes. >> And you know coming in with a platform >> And you know coming in with a platform >> And you know coming in with a platform with the value proposition of with the value proposition of with the value proposition of acceleration where that potential is acceleration where that potential is acceleration where that potential is very low and small. Um but then also very low and small. Um but then also very low and small. Um but then also having to um having to um having to um you know offer that at a you know race you know offer that at a you know race you know offer that at a you know race to the bottom pricing dynamic. to the bottom pricing dynamic. to the bottom pricing dynamic. It it's a formula for disaster, right? It it's a formula for disaster, right? It it's a formula for disaster, right? So the thing is you really need to focus So the thing is you really need to focus So the thing is you really need to focus on like we've mentioned several times on like we've mentioned several times on like we've mentioned several times over the years the the you know the the over the years the the you know the the over the years the the you know the the gap of the ugly stuff, right? you know, gap of the ugly stuff, right? you know, gap of the ugly stuff, right? you know, the implementation, the integration, and the implementation, the integration, and the implementation, the integration, and having blueprints more than platform, having blueprints more than platform, having blueprints more than platform, having accelerators and tools versus having accelerators and tools versus having accelerators and tools versus platform, right? Because you're going to platform, right? Because you're going to platform, right? Because you're going to have to adapt whatever it is that you have to adapt whatever it is that you have to adapt whatever it is that you think you're bringing in tremendously think you're bringing in tremendously think you're bringing in tremendously just to integrate and stitch that just to integrate and stitch that just to integrate and stitch that environment together and the platform environment together and the platform environment together and the platform becomes bespoke um to that customer in becomes bespoke um to that customer in becomes bespoke um to that customer in most instances. And so this is I think most instances. And so this is I think most instances. And so this is I think you know after all these years that big you know after all these years that big you know after all these years that big aha aha aha thing um regarding platforms why they've thing um regarding platforms why they've thing um regarding platforms why they've always been such a problem for the always been such a problem for the always been such a problem for the people people people >> I love platforms >> I love platforms >> I love platforms you do you keep building them dude you do you keep building them dude you do you keep building them dude [laughter] >> every every single time. Every single

>> every every single time. Every single time. Rob, you do love platforms. time. Rob, you do love platforms. time. Rob, you do love platforms. >> He does. He does. And we love him for >> He does. He does. And we love him for >> He does. He does. And we love him for it, too. [laughter] >> Oh my god. >> Oh my god. I I said it and and people looked at me I I said it and and people looked at me I I said it and and people looked at me crosseyed like, you know, I'm like, "No, crosseyed like, you know, I'm like, "No, crosseyed like, you know, I'm like, "No, we don't have a platform. we don't have a platform. we don't have a platform. >> We have a method by which a method by >> We have a method by which a method by >> We have a method by which a method by which we deliver twins." And and that's which we deliver twins." And and that's which we deliver twins." And and that's it. Because every single one of them is it. Because every single one of them is it. Because every single one of them is different. every city's data, every different. every city's data, every different. every city's data, every building's data, every every time we go building's data, every every time we go building's data, every every time we go in, the data does not look like the the in, the data does not look like the the in, the data does not look like the the last, nor does it look like the next. last, nor does it look like the next. last, nor does it look like the next. >> Yeah. >> Yeah. >> Yeah. >> And when you have a platform, when you >> And when you have a platform, when you >> And when you have a platform, when you go in, you got sales engineers. Okay. go in, you got sales engineers. Okay. go in, you got sales engineers. Okay. Well, what are they? Consultants. They Well, what are they? Consultants. They Well, what are they? Consultants. They go in and they're going to, you know, go in and they're going to, you know, go in and they're going to, you know, help sus out everything. And then when help sus out everything. And then when help sus out everything. And then when you go to implementation, now you got to you go to implementation, now you got to you go to implementation, now you got to understand where's the data? This is understand where's the data? This is understand where's the data? This is over here. How do we get it over there? over here. How do we get it over there? over here. How do we get it over there? How do we bring this? You are building a How do we bring this? You are building a How do we bring this? You are building a bespoke solution with methods by which?

bespoke solution with methods by which? bespoke solution with methods by which? >> Yeah. Yeah. And hey, um um Rob, you met >> Yeah. Yeah. And hey, um um Rob, you met >> Yeah. Yeah. And hey, um um Rob, you met my friend Ian Yuriarte, right? my friend Ian Yuriarte, right? my friend Ian Yuriarte, right? >> Yeah, I saw him again. >> Yeah, I saw him again. >> Yeah, I saw him again. >> That's Oh, really? That's what he he's >> That's Oh, really? That's what he he's >> That's Oh, really? That's what he he's all about that. That dude that cat is all about that. That dude that cat is all about that. That dude that cat is just like Bill, you know? He's all just like Bill, you know? He's all just like Bill, you know? He's all [clears throat] He knows He doesn't He [clears throat] He knows He doesn't He [clears throat] He knows He doesn't He doesn't screw around, right? You know doesn't screw around, right? You know doesn't screw around, right? You know that, right? Right. No, he's he knows that, right? Right. No, he's he knows that, right? Right. No, he's he knows his stuff for sure. his stuff for sure. his stuff for sure. >> Absolutely. >> Absolutely. >> Absolutely. >> Whereas I screw around, >> Whereas I screw around, >> Whereas I screw around, which is which is which is >> And I build platforms that nobody >> And I build platforms that nobody >> And I build platforms that nobody obviously wants and I build digital twin obviously wants and I build digital twin obviously wants and I build digital twin build digital twin models and I inherit build digital twin models and I inherit build digital twin models and I inherit from them and have digital twin from them and have digital twin from them and have digital twin instances and aggregates and weave this instances and aggregates and weave this instances and aggregates and weave this web of awesomeness that apparently Bill web of awesomeness that apparently Bill web of awesomeness that apparently Bill says is useless. says is useless. says is useless. It's [laughter] It's [laughter] It's [laughter] everything's different. There's no twin. everything's different. There's no twin. everything's different. There's no twin. They're all different. Every part, every They're all different. Every part, every They're all different. Every part, every machine, every everything is different. machine, every everything is different. machine, every everything is different. So, don't even try. Don't even try. So, don't even try. Don't even try. So, don't even try. Don't even try. >> Everything is Everything is different. I >> Everything is Everything is different. I >> Everything is Everything is different. I mean, seriously, show me. We should mean, seriously, show me. We should mean, seriously, show me. We should spend We should spend one of our calls spend We should spend one of our calls spend We should spend one of our calls on literally execution. Let's take a on literally execution. Let's take a on literally execution. Let's take a look and theoretically do one.

look and theoretically do one. look and theoretically do one. >> Oh, yeah. We should >> Oh, yeah. We should >> Oh, yeah. We should >> and do a [clears throat] sideby-side >> and do a [clears throat] sideby-side >> and do a [clears throat] sideby-side comparison. Do one city over here, one comparison. Do one city over here, one comparison. Do one city over here, one city over there, or whatever it is. city over there, or whatever it is. city over there, or whatever it is. And we should do these things for uh And we should do these things for uh And we should do these things for uh Elevate Communities and then get some Elevate Communities and then get some Elevate Communities and then get some legs on that thing, right? Seriously. So legs on that thing, right? Seriously. So legs on that thing, right? Seriously. So we can have episodes. we can have episodes. we can have episodes. >> I get that cities and everything are >> I get that cities and everything are >> I get that cities and everything are different and all the buildings are different and all the buildings are different and all the buildings are different. Everything about it is different. Everything about it is different. Everything about it is different, but they're all collections different, but they're all collections different, but they're all collections of of twins of components. It's a of of twins of components. It's a of of twins of components. It's a composite, you know, of things. Many composite, you know, of things. Many composite, you know, of things. Many things are the same. You know, my things are the same. You know, my things are the same. You know, my Michelin tires on my car are the same as Michelin tires on my car are the same as Michelin tires on my car are the same as the Michelin tires on your car. And the the Michelin tires on your car. And the the Michelin tires on your car. And the engine in Pete's Volvo is nothing like engine in Pete's Volvo is nothing like engine in Pete's Volvo is nothing like the engine in anyone else's Volvo, the engine in anyone else's Volvo, the engine in anyone else's Volvo, unfortunately, because unfortunately, because unfortunately, because >> that's true. >> that's true. >> that's true. >> Different. >> Different. >> Different. >> It's a B20 engine. It's uh common >> It's a B20 engine. It's uh common >> It's a B20 engine. It's uh common amongst many Volvo models, but yes, I amongst many Volvo models, but yes, I amongst many Volvo models, but yes, I understand the metaphor. understand the metaphor. understand the metaphor. >> Yeah. >> Yeah. >> Yeah. >> Anyway, you have to be sharp on this >> Anyway, you have to be sharp on this >> Anyway, you have to be sharp on this show to catch on these little things.

show to catch on these little things. show to catch on these little things. [laughter] [laughter] [laughter] >> You're right. We should do it. You know, >> You're right. We should do it. You know, >> You're right. We should do it. You know, I'll sit there. I'll sit there. I'll sit there. >> I'm I'm I'm one I've said it a lot. We >> I'm I'm I'm one I've said it a lot. We >> I'm I'm I'm one I've said it a lot. We live in the gap of the ugly, but I'm live in the gap of the ugly, but I'm live in the gap of the ugly, but I'm willing to put my money where my mouth willing to put my money where my mouth willing to put my money where my mouth is. is. is. >> Outstanding. Just >> Outstanding. Just >> Outstanding. Just >> woo. That's how poly market works, baby. >> woo. That's how poly market works, baby. >> woo. That's how poly market works, baby. Put your money where your mouth is. Put your money where your mouth is. Put your money where your mouth is. >> And then, you know, we can we can put we >> And then, you know, we can we can put we >> And then, you know, we can we can put we can send the uh episodes to uh different can send the uh episodes to uh different can send the uh episodes to uh different municipalities that have projects that municipalities that have projects that municipalities that have projects that they're thinking of spinning up and then they're thinking of spinning up and then they're thinking of spinning up and then maybe we can front some of the benefits maybe we can front some of the benefits maybe we can front some of the benefits of u supporting Elevate Communities, of u supporting Elevate Communities, of u supporting Elevate Communities, right? And then you know I mean you know right? And then you know I mean you know right? And then you know I mean you know the stuff that you do is the stuff that you do is the stuff that you do is >> elevate communities. As a matter of fact >> elevate communities. As a matter of fact >> elevate communities. As a matter of fact >> Dallas College is putting together a >> Dallas College is putting together a >> Dallas College is putting together a hackathon that's very similar to that hackathon that's very similar to that hackathon that's very similar to that and we're involved with it. and we're involved with it. and we're involved with it. >> So we should have like a talk or >> So we should have like a talk or >> So we should have like a talk or something. I mean do something where we something. I mean do something where we something. I mean do something where we Yeah. And then maybe bring Edge uh Edge Yeah. And then maybe bring Edge uh Edge Yeah. And then maybe bring Edge uh Edge AI Foundation and you know kind of weave AI Foundation and you know kind of weave AI Foundation and you know kind of weave all this stuff together. It'd be kind of all this stuff together. It'd be kind of all this stuff together. It'd be kind of cool. cool. cool. >> Yeah. >> Yeah. >> Yeah. >> Let's go. I've been trying to do >> Let's go. I've been trying to do >> Let's go. I've been trying to do something with Pete for a long time.

something with Pete for a long time. something with Pete for a long time. Let's go. Let's go. Let's go. >> Yeah. No, we should have a council >> Yeah. No, we should have a council >> Yeah. No, we should have a council meeting or whatever the freaking hell meeting or whatever the freaking hell meeting or whatever the freaking hell kind of meeting we're supposed to have. kind of meeting we're supposed to have. kind of meeting we're supposed to have. But no, you know, to the thing though, But no, you know, to the thing though, But no, you know, to the thing though, Rob, that you're very well recognized Rob, that you're very well recognized Rob, that you're very well recognized even though you you you give away even though you you you give away even though you you you give away platforms for free, which is kind of platforms for free, which is kind of platforms for free, which is kind of counter to actually building a business counter to actually building a business counter to actually building a business around platforms. around platforms. around platforms. >> Oops. >> Oops. >> Oops. >> You have the you you you provide the the >> You have the you you you provide the the >> You have the you you you provide the the um the bluepint. um the bluepint. um the bluepint. >> I care too much. >> I care too much. >> I care too much. >> No, the give and I give and I give and I >> No, the give and I give and I give and I >> No, the give and I give and I give and I just care too much. just care too much. just care too much. >> Yeah, you do. You got to be the people. >> Yeah, you do. You got to be the people. >> Yeah, you do. You got to be the people. >> The people and the children. >> The people and the children. >> The people and the children. >> Yeah. >> Yeah. >> Yeah. >> And the agriculture. >> And the agriculture. >> And the agriculture. >> And the agriculture. Those guys don't >> And the agriculture. Those guys don't >> And the agriculture. Those guys don't have two nickels to rub together. I have have two nickels to rub together. I have have two nickels to rub together. I have >> Exactly. I know. And those are the tams >> Exactly. I know. And those are the tams >> Exactly. I know. And those are the tams that you go after, [laughter] dude. that you go after, [laughter] dude. that you go after, [laughter] dude. >> Yes. Those tams. The $10 TAM. >> Yes. Those tams. The $10 TAM. >> Yes. Those tams. The $10 TAM. >> Yeah. Well, you know what? There there >> Yeah. Well, you know what? There there >> Yeah. Well, you know what? There there are some hundred billion dollar Tams are some hundred billion dollar Tams are some hundred billion dollar Tams that are turning out to [laughter] be that are turning out to [laughter] be that are turning out to [laughter] be pennies rubbing. I mean, pennies rubbing. I mean, pennies rubbing. I mean, >> I had to leave, guys.

>> I had to leave, guys. >> I had to leave, guys. It's good seeing everybody. It's good seeing everybody. It's good seeing everybody. >> Yeah. So, hey everyone. Thanks for uh >> Yeah. So, hey everyone. Thanks for uh >> Yeah. So, hey everyone. Thanks for uh joining us in this episode. Remember to joining us in this episode. Remember to joining us in this episode. Remember to support uh Elevate Communities at support uh Elevate Communities at support uh Elevate Communities at www.elevate www.elevate www.elevate communities.org. We're going to get communities.org. We're going to get communities.org. We're going to get serious about this at some point. It's serious about this at some point. It's serious about this at some point. It's just that we're all busy just that we're all busy just that we're all busy >> any minute now. >> any minute now. >> any minute now. >> Yeah. And then also remember to um >> Yeah. And then also remember to um >> Yeah. And then also remember to um subscribe to IoT coffee talk at subscribe to IoT coffee talk at subscribe to IoT coffee talk at www.iotalk.com. www.iotalk.com. www.iotalk.com. We are here. We are here. We are here. Yes, Yes, Yes, >> stack stack as well. Yes. >> stack stack as well. Yes. >> stack stack as well. Yes. >> And uh we will see you next week >> And uh we will see you next week >> And uh we will see you next week everyone. Take care. everyone. Take care. everyone. Take care. >> All right. See you guys. Bye. Have a >> All right. See you guys. Bye. Have a >> All right. See you guys. Bye. Have a great weekend. Bye. great weekend. Bye. great weekend. Bye. [music]