IoT Coffee Talk: Episode 254 - Get Down with the Ugly! (The Fugly Ugly Episode)

Okay, let's let's go. 3 2 1 Okay, let's let's go. 3 2 1 [Applause] [Applause] [Applause] Cocaine. Cocaine. Marijuana. Weed. Wow. Wow. That was Marijuana. Weed. Wow. Wow. That was awesome, dude. You're a great guitar awesome, dude. You're a great guitar awesome, dude. You're a great guitar player, man. You have a really good player, man. You have a really good player, man. You have a really good sense of uh of timing and rhythm. That's sense of uh of timing and rhythm. That's sense of uh of timing and rhythm. That's pretty cool. Under pressure. Under pretty cool. Under pressure. Under pretty cool. Under pressure. Under pressure. That's good. Good pressure. pressure. That's good. Good pressure. pressure. That's good. Good pressure. Good stuff. I figured you have a prop or Good stuff. I figured you have a prop or Good stuff. I figured you have a prop or something for that song like pull out of something for that song like pull out of something for that song like pull out of like a mirror or something with I was like a mirror or something with I was like a mirror or something with I was like I was inspired by uh Leonard's, you like I was inspired by uh Leonard's, you like I was inspired by uh Leonard's, you know, location at Mammoth and his uh know, location at Mammoth and his uh know, location at Mammoth and his uh Yeah, his whole get up there. Yeah, his whole get up there. Yeah, his whole get up there. Oh, thank you. I like my wife's hat.

Oh, thank you. I like my wife's hat. Oh, thank you. I like my wife's hat. It's beautiful. Yeah. I I really don't It's beautiful. Yeah. I I really don't It's beautiful. Yeah. I I really don't know how to wear it. So, Debbie, if you know how to wear it. So, Debbie, if you know how to wear it. So, Debbie, if you have any recommendations on how I'm have any recommendations on how I'm have any recommendations on how I'm actually supposed to wear this thing, I actually supposed to wear this thing, I actually supposed to wear this thing, I like it. Turn it around. Turn it around. like it. Turn it around. Turn it around. like it. Turn it around. Turn it around. Oh, really? Yeah. Oh, really? Yeah. Oh, really? Yeah. Pretty much better. Okay. Yeah. I Pretty much better. Okay. Yeah. I Pretty much better. Okay. Yeah. I thought this little I figured this thought this little I figured this thought this little I figured this dangly thing has some sort of purpose, dangly thing has some sort of purpose, dangly thing has some sort of purpose, you know, aesthetic purpose. So, I like you know, aesthetic purpose. So, I like you know, aesthetic purpose. So, I like you tassels in front. Not for you. Okay. you tassels in front. Not for you. Okay. you tassels in front. Not for you. Okay. All right. Have you heard of the concept All right. Have you heard of the concept All right. Have you heard of the concept of a ponytail? of a ponytail? of a ponytail? Yeah. Okay. So, hey everyone. Welcome to Yeah. Okay. So, hey everyone. Welcome to Yeah. Okay. So, hey everyone. Welcome to IoT Coffee Talk. Um, remember to take us IoT Coffee Talk. Um, remember to take us IoT Coffee Talk. Um, remember to take us seriously at your own risk. We're here seriously at your own risk. We're here seriously at your own risk. We're here to have fun. Hopefully you enjoy the to have fun. Hopefully you enjoy the to have fun. Hopefully you enjoy the rant and the ravings. And remember, rant and the ravings. And remember, rant and the ravings. And remember, we're here for the kids. Um, please we're here for the kids. Um, please we're here for the kids. Um, please consider donating to Elevate our Kids at consider donating to Elevate our Kids at consider donating to Elevate our Kids at uh www.elevarids.com. elevate our uh www.elevarids.com. elevate our uh www.elevarids.com. elevate our kids.org and we are trying to help kids kids.org and we are trying to help kids kids.org and we are trying to help kids uh bridge the digital divide. Yes, it's uh bridge the digital divide. Yes, it's uh bridge the digital divide. Yes, it's still a thing and um we're here um to still a thing and um we're here um to still a thing and um we're here um to see if we can raise some money for these see if we can raise some money for these see if we can raise some money for these kids and get them connected, get devices kids and get them connected, get devices kids and get them connected, get devices in their hands and connectivity in their in their hands and connectivity in their in their hands and connectivity in their hands. And we're doing this in hands. And we're doing this in hands. And we're doing this in collaboration with uh T-Mobile and their collaboration with uh T-Mobile and their collaboration with uh T-Mobile and their um their program to connect kids um in um their program to connect kids um in um their program to connect kids um in unserved and underserved communities. So unserved and underserved communities. So unserved and underserved communities. So hopefully, you know, we can all be

hopefully, you know, we can all be hopefully, you know, we can all be generous and try to help these folks out generous and try to help these folks out generous and try to help these folks out and these children out. So with that, and these children out. So with that, and these children out. So with that, hey guys, what's up? I see Rob and I hey guys, what's up? I see Rob and I hey guys, what's up? I see Rob and I have have uh are representing red and have have uh are representing red and have have uh are representing red and blue. Red and blue. I have the black. blue. Red and blue. I have the black. blue. Red and blue. I have the black. Oh, you got black on there. Oh, this is Oh, you got black on there. Oh, this is Oh, you got black on there. Oh, this is the make make IoT coffee talk great the make make IoT coffee talk great the make make IoT coffee talk great again sweatshirt. That's right. You got again sweatshirt. That's right. You got again sweatshirt. That's right. You got the I love that. Think of this as an the I love that. Think of this as an the I love that. Think of this as an intermittent tellathon that we're intermittent tellathon that we're intermittent tellathon that we're running actually. And so yes, dial those running actually. And so yes, dial those running actually. And so yes, dial those phones, people. Yes. Yes. And hey, phones, people. Yes. Yes. And hey, phones, people. Yes. Yes. And hey, speaking of that, one of the things that speaking of that, one of the things that speaking of that, one of the things that Rob and I have been talking about is how Rob and I have been talking about is how Rob and I have been talking about is how IoT is going to have a renaissance, IoT is going to have a renaissance, IoT is going to have a renaissance, right, Rob? It's funny that you brought right, Rob? It's funny that you brought right, Rob? It's funny that you brought that up and I think that up and I think that up and I think IoT renaissance is happening 2025. I can IoT renaissance is happening 2025. I can IoT renaissance is happening 2025. I can feel it. I can. Yeah. And it's all feel it. I can. Yeah. And it's all feel it. I can. Yeah. And it's all because of you, Pete. I reissance.com. because of you, Pete. I reissance.com. because of you, Pete. I reissance.com. Edge AI stuff that you're doing. Edge, Edge AI stuff that you're doing. Edge, Edge AI stuff that you're doing. Edge, man. Gravitational pull toward the edge. man. Gravitational pull toward the edge. man. Gravitational pull toward the edge. Well, I still have my first IoT device. Well, I still have my first IoT device. Well, I still have my first IoT device. So, my Navasta is here. So, So, my Navasta is here. So, So, my Navasta is here. So, the renaissance.

the renaissance. the renaissance. All right. What was that, Bill? Congrats All right. What was that, Bill? Congrats All right. What was that, Bill? Congrats to Pete on the CEO gig, man. Yeah. Oh, to Pete on the CEO gig, man. Yeah. Oh, to Pete on the CEO gig, man. Yeah. Oh, that's right. Yeah. Now I'm What? What? that's right. Yeah. Now I'm What? What? that's right. Yeah. Now I'm What? What? What is this all about? What? Oh, do What is this all about? What? Oh, do What is this all about? What? Oh, do tell. Yeah. Oh, now now I'm the CEO of tell. Yeah. Oh, now now I'm the CEO of tell. Yeah. Oh, now now I'm the CEO of Edgi Foundation instead of the executive Edgi Foundation instead of the executive Edgi Foundation instead of the executive director. So, wow. Did you yourself? director. So, wow. Did you yourself? director. So, wow. Did you yourself? Pressure on. Pressure on. Pressure on. Oh my gosh. Oh yeah, that's amazing. Oh my gosh. Oh yeah, that's amazing. Oh my gosh. Oh yeah, that's amazing. Yeah. So, how many how many people did Yeah. So, how many how many people did Yeah. So, how many how many people did you have to push aside to get go from you have to push aside to get go from you have to push aside to get go from senior director all the way up to CEO? senior director all the way up to CEO? senior director all the way up to CEO? Yeah. Blood. Oh my gosh. Game of Yeah. Blood. Oh my gosh. Game of Yeah. Blood. Oh my gosh. Game of Thrones. Game of Thrones. But hey, man. Thrones. Game of Thrones. But hey, man. Thrones. Game of Thrones. But hey, man. Seriously, Game of Thrones. I love it. Seriously, Game of Thrones. I love it. Seriously, Game of Thrones. I love it. Seriously, congrats because you know, um Seriously, congrats because you know, um Seriously, congrats because you know, um the optics and and the and the substance the optics and and the and the substance the optics and and the and the substance that you you've brought to Tiny ML that you you've brought to Tiny ML that you you've brought to Tiny ML Foundation, what used to be Tiny ML Foundation, what used to be Tiny ML Foundation, what used to be Tiny ML Foundation, man, is is pretty Foundation, man, is is pretty Foundation, man, is is pretty impressive, man. So, welld deserved. impressive, man. So, welld deserved. impressive, man. So, welld deserved. Yeah. I was like thinking it's like, Yeah. I was like thinking it's like, Yeah. I was like thinking it's like, man, this guy's a senior director in the man, this guy's a senior director in the man, this guy's a senior director in the hat. He should be a CEO. So, um, they hat. He should be a CEO. So, um, they hat. He should be a CEO. So, um, they did you right. That's great. That's did you right. That's great. That's did you right. That's great. That's great. I know. It's exciting. We got great. I know. It's exciting. We got great. I know. It's exciting. We got lots lots there's so many things new lots lots there's so many things new lots lots there's so many things new going new things going on. I mean, it's going new things going on. I mean, it's going new things going on. I mean, it's we're we're gearing up for Milan now. If we're we're gearing up for Milan now. If we're we're gearing up for Milan now. If anyone's interested in joining us in anyone's interested in joining us in anyone's interested in joining us in Milan, Italy, first week of July. Might Milan, Italy, first week of July. Might Milan, Italy, first week of July. Might just have to do that, man. That just just have to do that, man. That just just have to do that, man. That just sounds really good. Three days. Yeah.

sounds really good. Three days. Yeah. sounds really good. Three days. Yeah. We'll get you on a panel there. We'll We'll get you on a panel there. We'll We'll get you on a panel there. We'll get you up on stage, Leonard. That does get you up on stage, Leonard. That does get you up on stage, Leonard. That does sound good. Doesn't that sound good? I sound good. Doesn't that sound good? I sound good. Doesn't that sound good? I might just go and then maybe try to find might just go and then maybe try to find might just go and then maybe try to find an excuse to Yeah, I'm going to hang an excuse to Yeah, I'm going to hang an excuse to Yeah, I'm going to hang there for about two weeks. I'm going to there for about two weeks. I'm going to there for about two weeks. I'm going to go to Rome with my wife first and then go to Rome with my wife first and then go to Rome with my wife first and then we're going to take the train to Milan we're going to take the train to Milan we're going to take the train to Milan and then There you go. out and do so and then There you go. out and do so and then There you go. out and do so before it gets hot, you know. Yeah, before it gets hot, you know. Yeah, before it gets hot, you know. Yeah, that's a spouse trip right there. Right. that's a spouse trip right there. Right. that's a spouse trip right there. Right. That's a spouse trip. And you know, if That's a spouse trip. And you know, if That's a spouse trip. And you know, if you're in Milan, you're not that far you're in Milan, you're not that far you're in Milan, you're not that far away from Lake Ko, which also doesn't away from Lake Ko, which also doesn't away from Lake Ko, which also doesn't suck. I heard. I heard. Wow. Yeah. So, suck. I heard. I heard. Wow. Yeah. So, suck. I heard. I heard. Wow. Yeah. So, they were gearing up for that. We've got they were gearing up for that. We've got they were gearing up for that. We've got actually a Generative Edge AAI uh actually a Generative Edge AAI uh actually a Generative Edge AAI uh two-day live stream coming up in the end two-day live stream coming up in the end two-day live stream coming up in the end of May. Yeah. Like all kinds of talks of May. Yeah. Like all kinds of talks of May. Yeah. Like all kinds of talks and stuff. It's free. It's free to and stuff. It's free. It's free to and stuff. It's free. It's free to register. So, that'll be another big register. So, that'll be another big register. So, that'll be another big thing we're doing. So, yeah, it's a lot thing we're doing. So, yeah, it's a lot thing we're doing. So, yeah, it's a lot of just, you know, the activity. I mean, of just, you know, the activity. I mean, of just, you know, the activity. I mean, just came off of Embedded World. I mean, just came off of Embedded World. I mean, just came off of Embedded World. I mean, you guys were on the road, too. Yeah. you guys were on the road, too. Yeah. you guys were on the road, too. Yeah. just almost overwhelming to to sort of just almost overwhelming to to sort of just almost overwhelming to to sort of keep up with all the craziness and uh keep up with all the craziness and uh keep up with all the craziness and uh but you know having some fun with it.

but you know having some fun with it. but you know having some fun with it. See what put an adult in charge. See what put an adult in charge. See what put an adult in charge. Yeah, man. By the way, Bill, I think Yeah, man. By the way, Bill, I think Yeah, man. By the way, Bill, I think your microphone you might be a little your microphone you might be a little your microphone you might be a little Yeah, yeah, get the big mic out, man. Yeah, yeah, get the big mic out, man. Yeah, yeah, get the big mic out, man. There you go. Come on. There you go. All There you go. Come on. There you go. All There you go. Come on. There you go. All right. Big big voice. There you go. right. Big big voice. There you go. right. Big big voice. There you go. There we go. I don't know about that. There we go. I don't know about that. There we go. I don't know about that. Check. Mic check, bro. Hey, it's all Check. Mic check, bro. Hey, it's all Check. Mic check, bro. Hey, it's all good. It was just It was just pushed to good. It was just It was just pushed to good. It was just It was just pushed to the side. It's a the side. It's a the side. It's a little It's still pretty iffy, dude. I little It's still pretty iffy, dude. I little It's still pretty iffy, dude. I would uh Yeah. Yeah. Adjust the levels a would uh Yeah. Yeah. Adjust the levels a would uh Yeah. Yeah. Adjust the levels a little bit. Don't you love how we do little bit. Don't you love how we do little bit. Don't you love how we do these light we handle the technical these light we handle the technical these light we handle the technical difficulties. Yeah. Yeah. Well, but at least we're Yeah. Yeah. Well, but at least we're honest and we show it as opposed to all honest and we show it as opposed to all honest and we show it as opposed to all the others who do the same thing but try the others who do the same thing but try the others who do the same thing but try to hide it. Yeah. That's right. That's to hide it. Yeah. That's right. That's to hide it. Yeah. That's right. That's right. Actually, speaking of cool edge right. Actually, speaking of cool edge right. Actually, speaking of cool edge things, I was just last week. I'll have things, I was just last week. I'll have things, I was just last week. I'll have to plug this group called Caspa, the to plug this group called Caspa, the to plug this group called Caspa, the Chinese American Semiconductor Chinese American Semiconductor Chinese American Semiconductor Professional Association. Have you heard Professional Association. Have you heard Professional Association. Have you heard of them? Yeah, I saw the pictures of of them? Yeah, I saw the pictures of of them? Yeah, I saw the pictures of you. Yeah, they've been around for like you. Yeah, they've been around for like you. Yeah, they've been around for like 30 years and they have an annual dinner 30 years and they have an annual dinner 30 years and they have an annual dinner and like Jensen spoken there twice. Lisa and like Jensen spoken there twice. Lisa and like Jensen spoken there twice. Lisa Sue is going to be there this year. Oh, Sue is going to be there this year. Oh, Sue is going to be there this year. Oh, wow. So, it's like this huge community wow. So, it's like this huge community wow. So, it's like this huge community and so they had a they had like a dayong and so they had a they had like a dayong and so they had a they had like a dayong uh symposium on physical AI kind of at uh symposium on physical AI kind of at uh symposium on physical AI kind of at the tail end of GTC. So, I spoke at that the tail end of GTC. So, I spoke at that the tail end of GTC. So, I spoke at that and was on a pan. Yeah. It was really and was on a pan. Yeah. It was really and was on a pan. Yeah. It was really cool, actually. The uh they gave me a cool, actually. The uh they gave me a cool, actually. The uh they gave me a nice plaque. Oh, you got a plaque? Oh, nice plaque. Oh, you got a plaque? Oh, nice plaque. Oh, you got a plaque? Oh, wow. And it's even in Chinese. Yeah, wow. And it's even in Chinese. Yeah, wow. And it's even in Chinese. Yeah, it's in Chinese. And then Uhhuh. And it's in Chinese. And then Uhhuh. And it's in Chinese. And then Uhhuh. And then this guy from Digit Time spoke. I

then this guy from Digit Time spoke. I then this guy from Digit Time spoke. I don't have to get his name. Uh but he don't have to get his name. Uh but he don't have to get his name. Uh but he gave out this book that he wrote called gave out this book that he wrote called gave out this book that he wrote called Semi Country. It's uh the subtitle is Semi Country. It's uh the subtitle is Semi Country. It's uh the subtitle is Trump Storm and the Island of No Trump Storm and the Island of No Trump Storm and the Island of No Significance. and it's all about like Significance. and it's all about like Significance. and it's all about like Taiwan and Trump and semiconductors and Taiwan and Trump and semiconductors and Taiwan and Trump and semiconductors and I haven't read much. I his presentation I haven't read much. I his presentation I haven't read much. I his presentation was wild. Um anyway, if you guys want to was wild. Um anyway, if you guys want to was wild. Um anyway, if you guys want to look at a wild book, semiount it's look at a wild book, semiount it's look at a wild book, semiount it's called. Yeah. Semi country. Semi called. Yeah. Semi country. Semi called. Yeah. Semi country. Semi country. All right. Um crazy stuff. So country. All right. Um crazy stuff. So country. All right. Um crazy stuff. So So this is like is this like a Chinese So this is like is this like a Chinese So this is like is this like a Chinese American association? American association? American association? Yeah. I mean I would say it's primarily Yeah. I mean I would say it's primarily Yeah. I mean I would say it's primarily like Taiwanese semiconductor folks from like Taiwanese semiconductor folks from like Taiwanese semiconductor folks from the Bay Area and Taipei like you know it the Bay Area and Taipei like you know it the Bay Area and Taipei like you know it started like in 1992 this organization. started like in 1992 this organization. started like in 1992 this organization. Okay. Yeah. So it's it's all those that Okay. Yeah. So it's it's all those that Okay. Yeah. So it's it's all those that whole community that sort of you know whole community that sort of you know whole community that sort of you know moved to Silicon Valley and Right. moved to Silicon Valley and Right. moved to Silicon Valley and Right. Right. right right no it's just I think Right. right right no it's just I think Right. right right no it's just I think it's important to sort of make that it's important to sort of make that it's important to sort of make that distinction because nowadays there's so distinction because nowadays there's so distinction because nowadays there's so many sensitivities and also there's many sensitivities and also there's many sensitivities and also there's pretty broad ignorance. Um, some people pretty broad ignorance. Um, some people pretty broad ignorance. Um, some people don't know the difference between Taiwan don't know the difference between Taiwan don't know the difference between Taiwan and China and then they lump everyone and China and then they lump everyone and China and then they lump everyone together and uh some people think that together and uh some people think that together and uh some people think that uh um TSMC is a Chinese company. It's uh um TSMC is a Chinese company. It's uh um TSMC is a Chinese company. It's like no, it's not. You know, um so I I like no, it's not. You know, um so I I like no, it's not. You know, um so I I don't mean to sound condescending here, don't mean to sound condescending here, don't mean to sound condescending here, but yeah, you know, something that but yeah, you know, something that but yeah, you know, something that people need to be. Isn't that like people need to be. Isn't that like people need to be. Isn't that like refreshing? You should teach geography refreshing? You should teach geography refreshing? You should teach geography in school. Yeah. Yeah. Like where Canada

in school. Yeah. Yeah. Like where Canada in school. Yeah. Yeah. Like where Canada is. Hey, hey, man. Come on. You know, we is. Hey, hey, man. Come on. You know, we is. Hey, hey, man. Come on. You know, we knew we knew this stuff was happening knew we knew this stuff was happening knew we knew this stuff was happening back in the day when like Jay Leno used back in the day when like Jay Leno used back in the day when like Jay Leno used to do jaywalk, right? And people didn't to do jaywalk, right? And people didn't to do jaywalk, right? And people didn't know where Mexico was, you know? I mean, know where Mexico was, you know? I mean, know where Mexico was, you know? I mean, sometimes some degrees of ignorance are sometimes some degrees of ignorance are sometimes some degrees of ignorance are dangerous, right? And is not healthy. dangerous, right? And is not healthy. dangerous, right? And is not healthy. So, um, we're just trying to bridge. So, um, we're just trying to bridge. So, um, we're just trying to bridge. What is that divide? What is the country What is that divide? What is the country What is that divide? What is the country directly south of the United States? directly south of the United States? directly south of the United States? Canada. Canada. Yeah. South America, Canada. Canada. Yeah. South America, Canada. Canada. Yeah. South America, isn't it? Yeah, isn't it? Yeah, isn't it? Yeah, I used to love watching Jay Walking. I used to love watching Jay Walking. I used to love watching Jay Walking. South America. Jaywalking was great. South America. Jaywalking was great. South America. Jaywalking was great. It's like there are so many idiots in It's like there are so many idiots in It's like there are so many idiots in Los Angeles. North is North America. Los Angeles. North is North America. Los Angeles. North is North America. Who's the vice president? Who's the Who's the vice president? Who's the Who's the vice president? Who's the president of the United States? And they president of the United States? And they president of the United States? And they get it wrong. They would say something get it wrong. They would say something get it wrong. They would say something like Abraham like Abraham like Abraham Lincoln Washington. It's like really Lincoln Washington. It's like really Lincoln Washington. It's like really okay. Yeah. Abraham dodged a bullet. okay. Yeah. Abraham dodged a bullet. okay. Yeah. Abraham dodged a bullet. No, that's Yeah, I'm No kidding. I don't No, that's Yeah, I'm No kidding. I don't No, that's Yeah, I'm No kidding. I don't think he did it. Not so much. Horrible.

think he did it. Not so much. Horrible. think he did it. Not so much. Horrible. Horrible. So, I saw I saw the big news Horrible. So, I saw I saw the big news Horrible. So, I saw I saw the big news today is that uh Rick Bada is going to today is that uh Rick Bada is going to today is that uh Rick Bada is going to take a pause on social media. I saw that take a pause on social media. I saw that take a pause on social media. I saw that for like a month. So, you know. Oh my for like a month. So, you know. Oh my for like a month. So, you know. Oh my god. Guess we can take the next month god. Guess we can take the next month god. Guess we can take the next month off. I don't I don't know what I'll do off. I don't I don't know what I'll do off. I don't I don't know what I'll do without him like shooting arrows at without him like shooting arrows at without him like shooting arrows at everything everybody says, you know. everything everybody says, you know. everything everybody says, you know. True. True. True. Well, the you know the the LinkedIn or Well, the you know the the LinkedIn or Well, the you know the the LinkedIn or the Microsoft stock price is going to the Microsoft stock price is going to the Microsoft stock price is going to dump. I mean dump. I mean dump. I mean uh well you know um trolling does take a uh well you know um trolling does take a uh well you know um trolling does take a toll you know take it takes a lot of uh toll you know take it takes a lot of uh toll you know take it takes a lot of uh psych psychic negative energy psych psychic negative energy psych psychic negative energy to keep that thing going. So he he has to keep that thing going. So he he has to keep that thing going. So he he has to recharge his negative energy doesn't to recharge his negative energy doesn't to recharge his negative energy doesn't he? Well maybe maybe he's decided to he? Well maybe maybe he's decided to he? Well maybe maybe he's decided to study more carefully the new open AI $40 study more carefully the new open AI $40 study more carefully the new open AI $40 billion investment. Yeah. Well, I mean, billion investment. Yeah. Well, I mean, billion investment. Yeah. Well, I mean, actually, he's just exercising actually, he's just exercising actually, he's just exercising regenerative breaking. Yeah. I mean, we regenerative breaking. Yeah. I mean, we regenerative breaking. Yeah. I mean, we all love Rick. Come on. You know, we all love Rick. Come on. You know, we all love Rick. Come on. You know, we love him. Yeah. He doesn't come on the love him. Yeah. He doesn't come on the love him. Yeah. He doesn't come on the show that he semi-invented. So, show that he semi-invented. So, show that he semi-invented. So, it's a different kind of love. It's like it's a different kind of love. It's like it's a different kind of love. It's like a prickly love or Yeah. Prickly. Yeah.

a prickly love or Yeah. Prickly. Yeah. a prickly love or Yeah. Prickly. Yeah. Prickly love. Okay. Yeah. So, yeah. Prickly love. Okay. Yeah. So, yeah. Prickly love. Okay. Yeah. So, yeah. Debbiey's awfully quiet. We're going to Debbiey's awfully quiet. We're going to Debbiey's awfully quiet. We're going to pick on her now, right? Because she pick on her now, right? Because she pick on her now, right? Because she she's got to have something to say. Uh, she's got to have something to say. Uh, she's got to have something to say. Uh, so what's up, Debbie? How you been? so what's up, Debbie? How you been? so what's up, Debbie? How you been? You can't be on mute the entire show. You can't be on mute the entire show. You can't be on mute the entire show. That's not That's not That's not possible. What have you been up to? possible. What have you been up to? possible. What have you been up to? You've been posting a lot of stuff. A You've been posting a lot of stuff. A You've been posting a lot of stuff. A lot of good stuff. Yeah. Oh, thank you. lot of good stuff. Yeah. Oh, thank you. lot of good stuff. Yeah. Oh, thank you. Thank you. Yeah, I've posted some stuff Thank you. Yeah, I've posted some stuff Thank you. Yeah, I've posted some stuff about 23 and me, which is wacky. Um, and about 23 and me, which is wacky. Um, and about 23 and me, which is wacky. Um, and then I'm doing some I'm speaking next then I'm doing some I'm speaking next then I'm doing some I'm speaking next week at a conference in DC for like week at a conference in DC for like week at a conference in DC for like board of directors, something like that. board of directors, something like that. board of directors, something like that. Washington DC. But but don't forget the Washington DC. But but don't forget the Washington DC. But but don't forget the important work that you're doing with important work that you're doing with important work that you're doing with the ILE E. the ILE E. the ILE E. Oh yes. Yes, Oh yes. Yes, Oh yes. Yes, absolutely. So, were you on you on that absolutely. So, were you on you on that absolutely. So, were you on you on that call? call? call? I was I dropped a comment in the in the I was I dropped a comment in the in the I was I dropped a comment in the in the document um on on some on using some of document um on on some on using some of document um on on some on using some of the use cases and everything like that.

the use cases and everything like that. the use cases and everything like that. So I I'll drop I'm going to contribute So I I'll drop I'm going to contribute So I I'll drop I'm going to contribute some use cases there. Oh, perfect. Thank some use cases there. Oh, perfect. Thank some use cases there. Oh, perfect. Thank you. Thank you. Yeah. So, right. So, uh you. Thank you. Yeah. So, right. So, uh you. Thank you. Yeah. So, right. So, uh my project with the LE E next generation my project with the LE E next generation my project with the LE E next generation connectivity systems, we're working on a connectivity systems, we're working on a connectivity systems, we're working on a privacy label and a um yeah, uh privacy label and a um yeah, uh privacy label and a um yeah, uh assessment that companies can do for assessment that companies can do for assessment that companies can do for themselves. And so we are going to themselves. And so we are going to themselves. And so we are going to publish a white paper. So that's what publish a white paper. So that's what publish a white paper. So that's what we're working on right now. So that'll we're working on right now. So that'll we're working on right now. So that'll be cool because that'll be the first be cool because that'll be the first be cool because that'll be the first publication from this this subgroup publication from this this subgroup publication from this this subgroup that's working on this whole project. So that's working on this whole project. So that's working on this whole project. So that'll be great. And I think that it that'll be great. And I think that it that'll be great. And I think that it drives a huge level of visibility drives a huge level of visibility drives a huge level of visibility towards um you know when we when when towards um you know when we when when towards um you know when we when when we're talking about uh hospitals or we're talking about uh hospitals or we're talking about uh hospitals or health care and the use of agentic AI in health care and the use of agentic AI in health care and the use of agentic AI in these uh digital displays to kind of these uh digital displays to kind of these uh digital displays to kind of help automate or you know the folks help automate or you know the folks help automate or you know the folks coming in to visit the hospital and it coming in to visit the hospital and it coming in to visit the hospital and it and and I'm like okay so if you go up to and and I'm like okay so if you go up to and and I'm like okay so if you go up to that digital display it's got a camera that digital display it's got a camera that digital display it's got a camera it's looking at you it it just knows so it's looking at you it it just knows so it's looking at you it it just knows so much about you the minute you start much about you the minute you start much about you the minute you start engaging. Um, having having a, you know, engaging. Um, having having a, you know, engaging. Um, having having a, you know, this type of of best practice or things this type of of best practice or things this type of of best practice or things that you should look out for will help that you should look out for will help that you should look out for will help these companies not fall victim to, you these companies not fall victim to, you these companies not fall victim to, you know, nefarious activity that they know, nefarious activity that they know, nefarious activity that they didn't even know about.

didn't even know about. didn't even know about. True. Yeah, it's very important. I think True. Yeah, it's very important. I think True. Yeah, it's very important. I think a lot of people just don't realize how a lot of people just don't realize how a lot of people just don't realize how much IoT is around them and how much much IoT is around them and how much much IoT is around them and how much they interact with it and what these they interact with it and what these they interact with it and what these things are doing. So I think yeah those things are doing. So I think yeah those things are doing. So I think yeah those use cases will be gold them. use cases will be gold them. use cases will be gold them. I guess you have have the the Fortune I guess you have have the the Fortune I guess you have have the the Fortune 500 folks that are buying the equipment 500 folks that are buying the equipment 500 folks that are buying the equipment and the systems need to enforce those and the systems need to enforce those and the systems need to enforce those kind of labels right so that they say kind of labels right so that they say kind of labels right so that they say hey I need stuff that has clear markings hey I need stuff that has clear markings hey I need stuff that has clear markings and stuff. Yeah. Well they should they and stuff. Yeah. Well they should they and stuff. Yeah. Well they should they should absolutely adopt it and and say should absolutely adopt it and and say should absolutely adopt it and and say this is what we're doing. Yeah. It's not this is what we're doing. Yeah. It's not this is what we're doing. Yeah. It's not going to happen through legislation. going to happen through legislation. going to happen through legislation. That's for sure. It'll have to happen. That's for sure. It'll have to happen. That's for sure. It'll have to happen. the market requires it. the market requires it. the market requires it. Yeah. Right. Yeah. And that's that's one Yeah. Right. Yeah. And that's that's one Yeah. Right. Yeah. And that's that's one reason why we're not focused on kind of reason why we're not focused on kind of reason why we're not focused on kind of regulation and then it's also kind of regulation and then it's also kind of regulation and then it's also kind of agnostic to you know it's basically agnostic to you know it's basically agnostic to you know it's basically around data like what is your what are around data like what is your what are around data like what is your what are your data practices and how does that your data practices and how does that your data practices and how does that you know uh how does that tie into what you know uh how does that tie into what you know uh how does that tie into what you're doing with connected systems.

you're doing with connected systems. you're doing with connected systems. Yeah. Yeah. Yeah. Yeah. And um I think it's it's an Yeah. And um I think it's it's an Yeah. And um I think it's it's an important baseline. I mean obviously all important baseline. I mean obviously all important baseline. I mean obviously all this stuff is going to evolve because this stuff is going to evolve because this stuff is going to evolve because all this whole privacy landscape all this whole privacy landscape all this whole privacy landscape continues to evolve and the security continues to evolve and the security continues to evolve and the security threats evolve, but it it's a really threats evolve, but it it's a really threats evolve, but it it's a really solid baseline. And sorry I haven't been solid baseline. And sorry I haven't been solid baseline. And sorry I haven't been on the calls lately cuz I've had on the calls lately cuz I've had on the calls lately cuz I've had conflicts like crazy lately. But it's conflicts like crazy lately. But it's conflicts like crazy lately. But it's such such great work. Um important. And such such great work. Um important. And such such great work. Um important. And you know, speaking of renaissance, I if you know, speaking of renaissance, I if you know, speaking of renaissance, I if IoT is going to have a renaissance and IoT is going to have a renaissance and IoT is going to have a renaissance and clear some of these headwinds that it's clear some of these headwinds that it's clear some of these headwinds that it's been facing for, you know, decades, been facing for, you know, decades, been facing for, you know, decades, um it it privacy and security are going um it it privacy and security are going um it it privacy and security are going to be increasingly important, right? to be increasingly important, right? to be increasingly important, right? Especially for consumers. Uh but even Especially for consumers. Uh but even Especially for consumers. Uh but even just in commerce, uh industrial, right? just in commerce, uh industrial, right? just in commerce, uh industrial, right? Um, otherwise, I mean, seriously, I Um, otherwise, I mean, seriously, I Um, otherwise, I mean, seriously, I think it's like come up with a air gap think it's like come up with a air gap think it's like come up with a air gap strategy that I mean, if you can't strategy that I mean, if you can't strategy that I mean, if you can't figure out security and privacy, you figure out security and privacy, you figure out security and privacy, you might as well just uh start putting up might as well just uh start putting up might as well just uh start putting up those um those modes, you know, and cuz those um those modes, you know, and cuz those um those modes, you know, and cuz there's some scary stuff coming down the there's some scary stuff coming down the there's some scary stuff coming down the pike. Mhm. I'm really I'm really really pike. Mhm. I'm really I'm really really pike. Mhm. I'm really I'm really really interested in going to RSA uh C this interested in going to RSA uh C this interested in going to RSA uh C this year and checking out um and it's going year and checking out um and it's going year and checking out um and it's going to be cool because I'm going to go in to be cool because I'm going to go in to be cool because I'm going to go in there just with my agenda. You know, there just with my agenda. You know, there just with my agenda. You know, none of this like you know analyst none of this like you know analyst none of this like you know analyst programs. One of the things I'm noticing programs. One of the things I'm noticing programs. One of the things I'm noticing about these analyst programs is you know

about these analyst programs is you know about these analyst programs is you know you actually get deprived of time to you actually get deprived of time to you actually get deprived of time to actually explore and and pursue your actually explore and and pursue your actually explore and and pursue your agenda. Um you don't get as much out of agenda. Um you don't get as much out of agenda. Um you don't get as much out of being at an event. being at an event. being at an event. in RSAC. I'm I'm definitely going to in RSAC. I'm I'm definitely going to in RSAC. I'm I'm definitely going to take a huge um you know opportunity to take a huge um you know opportunity to take a huge um you know opportunity to uh just delve into some of these uh just delve into some of these uh just delve into some of these important topics around security, important topics around security, important topics around security, especially around the AI topic. especially around the AI topic. especially around the AI topic. Um because man, it is getting freaking Um because man, it is getting freaking Um because man, it is getting freaking scary. People are starting to they still scary. People are starting to they still scary. People are starting to they still don't know. That's the thing that kills don't know. That's the thing that kills don't know. That's the thing that kills me, man. They still don't know, you me, man. They still don't know, you me, man. They still don't know, you know? They still don't know. after know? They still don't know. after know? They still don't know. after years, man, they still don't know. It's years, man, they still don't know. It's years, man, they still don't know. It's insanity. insanity. insanity. But also, you like the two things that But also, you like the two things that But also, you like the two things that I've seen. One two interesting I've seen. One two interesting I've seen. One two interesting counterpoints is one is that well, we've counterpoints is one is that well, we've counterpoints is one is that well, we've all been flying a lot lately. The all been flying a lot lately. The all been flying a lot lately. The proliferation of the camera during the proliferation of the camera during the proliferation of the camera during the security and the TSA checkin now is security and the TSA checkin now is security and the TSA checkin now is ubiquitous. And in fact, I have the ubiquitous. And in fact, I have the ubiquitous. And in fact, I have the digital ID, so I I get to the front of digital ID, so I I get to the front of digital ID, so I I get to the front of the TSA line and I do the face thing the TSA line and I do the face thing the TSA line and I do the face thing because I figure at this point, my face because I figure at this point, my face because I figure at this point, my face is like in every database that known to is like in every database that known to is like in every database that known to man. So, but it's like pretty much man. So, but it's like pretty much man. So, but it's like pretty much ubiquitous. And I see people like on ubiquitous. And I see people like on ubiquitous. And I see people like on Instagram like here's how you can get Instagram like here's how you can get Instagram like here's how you can get out of the face ID when you check out of the face ID when you check out of the face ID when you check through this. You're not going to get through this. You're not going to get through this. You're not going to get out of it. So, that that that seems to out of it. So, that that that seems to out of it. So, that that that seems to have that horse has left the barn in have that horse has left the barn in have that horse has left the barn in terms of cameras and putting people's terms of cameras and putting people's terms of cameras and putting people's faces in a database even though they say faces in a database even though they say faces in a database even though they say they erase the photo. However, on the they erase the photo. However, on the they erase the photo. However, on the other side, I'm seeing a lot of cool other side, I'm seeing a lot of cool other side, I'm seeing a lot of cool tech around, you know, Wi-Fi routers and tech around, you know, Wi-Fi routers and tech around, you know, Wi-Fi routers and ultra wideband and analyzing ultra wideband and analyzing ultra wideband and analyzing uh those signals to to count people and

uh those signals to to count people and uh those signals to to count people and how many people are in a room and how how many people are in a room and how how many people are in a room and how many people. So, there's a lot more new many people. So, there's a lot more new many people. So, there's a lot more new ways of uh detecting crowds and number ways of uh detecting crowds and number ways of uh detecting crowds and number of people in a more anonymous way, of people in a more anonymous way, of people in a more anonymous way, which is happening. So, you could which is happening. So, you could which is happening. So, you could actually count how many people are in actually count how many people are in actually count how many people are in your restaurant without a camera, right? your restaurant without a camera, right? your restaurant without a camera, right? because you're analyzing Wi-Fi signals, because you're analyzing Wi-Fi signals, because you're analyzing Wi-Fi signals, but at the same time, everyone's getting but at the same time, everyone's getting but at the same time, everyone's getting their face scanned at the airport. So, their face scanned at the airport. So, their face scanned at the airport. So, we sort of have both of these things we sort of have both of these things we sort of have both of these things happening at the same time. And I didn't happening at the same time. And I didn't happening at the same time. And I didn't see a way around the airport one at all. see a way around the airport one at all. see a way around the airport one at all. It would be interesting to see. So, it It would be interesting to see. So, it It would be interesting to see. So, it would be interesting to see how this would be interesting to see how this would be interesting to see how this technology work because I probably count technology work because I probably count technology work because I probably count as 10 person when I go somewhere because as 10 person when I go somewhere because as 10 person when I go somewhere because I have 10 devices connected. So, it I have 10 devices connected. So, it I have 10 devices connected. So, it would be would be interesting to see how would be would be interesting to see how would be would be interesting to see how they do that. Oh, that's true. That's they do that. Oh, that's true. That's they do that. Oh, that's true. That's true. I know that the um you know like true. I know that the um you know like true. I know that the um you know like some of the tech that I'm seeing some of the tech that I'm seeing some of the tech that I'm seeing especially around biometrics you know especially around biometrics you know especially around biometrics you know it's very concerning uh some of the use it's very concerning uh some of the use it's very concerning uh some of the use cases that I see you know so can't cases that I see you know so can't cases that I see you know so can't really you may not be able to avoid at really you may not be able to avoid at really you may not be able to avoid at airport but maybe you don't want to use airport but maybe you don't want to use airport but maybe you don't want to use your face beer at the ball game or your face beer at the ball game or your face beer at the ball game or something you know so for me like those something you know so for me like those something you know so for me like those type use cases are always concerning I'm type use cases are always concerning I'm type use cases are always concerning I'm like the most important use cases yeah like the most important use cases yeah like the most important use cases yeah the most important use cases don't the most important use cases don't the most important use cases don't communicate your war plans using the communicate your war plans using the communicate your war plans using the signal app. That's right. Definitely a signal app. That's right. Definitely a signal app. That's right. Definitely a no no. Nobody nobody cares about that.

no no. Nobody nobody cares about that. no no. Nobody nobody cares about that. Yeah. Nobody knows what the fat is. Yeah. Nobody knows what the fat is. Yeah. Nobody knows what the fat is. There was no confidential information in There was no confidential information in There was no confidential information in this war plan. So I would like to see this war plan. So I would like to see this war plan. So I would like to see what is a war plan without any what is a war plan without any what is a war plan without any information. Exactly. I'm just glad that information. Exactly. I'm just glad that information. Exactly. I'm just glad that Debbie spoke up. Otherwise I She was Debbie spoke up. Otherwise I She was Debbie spoke up. Otherwise I She was basically Jeffrey Goldberg lurking on basically Jeffrey Goldberg lurking on basically Jeffrey Goldberg lurking on our group here and so it's good in our our group here and so it's good in our our group here and so it's good in our group chat. She's in our group. Yeah, group chat. She's in our group. Yeah, group chat. She's in our group. Yeah, exactly. So, thanks for that. All good. All good. Oh my gosh. All good. All good. Oh my gosh. It's going to be F18s and it's going to It's going to be F18s and it's going to It's going to be F18s and it's going to be at this time and we're going to be at this time and we're going to be at this time and we're going to deliver these bombs. Bombs are going to deliver these bombs. Bombs are going to deliver these bombs. Bombs are going to drop at this time. That's not war plans. drop at this time. That's not war plans. drop at this time. That's not war plans. That's just me shooting the with That's just me shooting the with That's just me shooting the with some buddies. some buddies. some buddies. Facial recognition at TSA. The reality Facial recognition at TSA. The reality Facial recognition at TSA. The reality show. I mean, this is what it is. We show. I mean, this is what it is. We show. I mean, this is what it is. We watch it on social media. So, yeah. watch it on social media. So, yeah. watch it on social media. So, yeah. Well, um it's it's um security security. Well, um it's it's um security security. Well, um it's it's um security security. I'm just surprised they're not using I'm I'm just surprised they're not using I'm I'm just surprised they're not using I'm just surprised they're not using F-35s.

just surprised they're not using F-35s. just surprised they're not using F-35s. But anyways, But anyways, But anyways, I heard there's a new F-47 jet that's I heard there's a new F-47 jet that's I heard there's a new F-47 jet that's being built and the 47 is named after being built and the 47 is named after being built and the 47 is named after Trump because he's the 47. So, oh my Trump because he's the 47. So, oh my Trump because he's the 47. So, oh my god, I didn't even think about that. god, I didn't even think about that. god, I didn't even think about that. Yeah, they changed the name 47. Yeah. Yeah, they changed the name 47. Yeah. Yeah, they changed the name 47. Yeah. Well, my my comment on that is I hope Well, my my comment on that is I hope Well, my my comment on that is I hope it's more built in the in the name of it's more built in the in the name of it's more built in the in the name of the AK-47 which is a much proven the AK-47 which is a much proven the AK-47 which is a much proven reliable got some long life that's got reliable got some long life that's got reliable got some long life that's got some history. So he was throwing a bone some history. So he was throwing a bone some history. So he was throwing a bone to Boeing basically. Yeah. Don't worry to Boeing basically. Yeah. Don't worry to Boeing basically. Yeah. Don't worry about spaceships and airplanes with about spaceships and airplanes with about spaceships and airplanes with doors flying out. Hopefully that SpaceX. doors flying out. Hopefully that SpaceX. doors flying out. Hopefully that SpaceX. Well, you know Well, you know Well, you know given the recent track record of the 787 given the recent track record of the 787 given the recent track record of the 787 and the Max. and the Max. and the Max. Yeah, that's that's kind of scary Yeah, that's that's kind of scary Yeah, that's that's kind of scary though. I mean, though. I mean, though. I mean, um but I mean it it um but I mean it it um but I mean it it is maybe it's just uh I mean cuz China's is maybe it's just uh I mean cuz China's is maybe it's just uh I mean cuz China's flexing their muscles, right? They have flexing their muscles, right? They have flexing their muscles, right? They have that F whatever their F-36 or um that F whatever their F-36 or um that F whatever their F-36 or um whatever that thing is. Is it? But whatever that thing is. Is it? But whatever that thing is. Is it? But here's the thing. Here's the thing that here's the thing. Here's the thing that here's the thing. Here's the thing that puzzles me. Look at the current puzzles me. Look at the current puzzles me. Look at the current conflicts we have. How many of those conflicts we have. How many of those conflicts we have. How many of those planes are so important? It's all about planes are so important? It's all about planes are so important? It's all about freaking drones now. It is about drones.

freaking drones now. It is about drones. freaking drones now. It is about drones. Why are we going to spend billion in a Why are we going to spend billion in a Why are we going to spend billion in a fighter jet that's going to stay on the fighter jet that's going to stay on the fighter jet that's going to stay on the ground? ground? ground? Because either you cannot use it because Because either you cannot use it because Because either you cannot use it because you have the plane but you cannot use it you have the plane but you cannot use it you have the plane but you cannot use it or you don't need it because you're just or you don't need it because you're just or you don't need it because you're just dropping missiles and and drones bombs. dropping missiles and and drones bombs. dropping missiles and and drones bombs. Well, yeah, that's the interesting Well, yeah, that's the interesting Well, yeah, that's the interesting thing. The air air defense systems now thing. The air air defense systems now thing. The air air defense systems now are becoming so potent. Um, air are becoming so potent. Um, air are becoming so potent. Um, air superiority in the in the modern um superiority in the in the modern um superiority in the in the modern um western battlefield, it it's not about western battlefield, it it's not about western battlefield, it it's not about fighter planes because they get they're fighter planes because they get they're fighter planes because they get they're expensive and they get shot down. Yeah. expensive and they get shot down. Yeah. expensive and they get shot down. Yeah. And it's more the protection dome And it's more the protection dome And it's more the protection dome against the drone and all those tiny against the drone and all those tiny against the drone and all those tiny little things that fly everywhere. little things that fly everywhere. little things that fly everywhere. I don't know. Yeah, I think I think it's I don't know. Yeah, I think I think it's I don't know. Yeah, I think I think it's just throw, you know, throwing a bone to just throw, you know, throwing a bone to just throw, you know, throwing a bone to to Boeing. Absolutely. I mean, a bunch to Boeing. Absolutely. I mean, a bunch to Boeing. Absolutely. I mean, a bunch of nothing happens in four years, of nothing happens in four years, of nothing happens in four years, basically. That's true. Well, they make basically. That's true. Well, they make basically. That's true. Well, they make the Yeah, they make the F-15 and so now the Yeah, they make the F-15 and so now the Yeah, they make the F-15 and so now there's a lot of countries that are there's a lot of countries that are there's a lot of countries that are former customers that are are going to former customers that are are going to former customers that are are going to stop taking orders of that just because stop taking orders of that just because stop taking orders of that just because of it. I gez, think about how great.

of it. I gez, think about how great. of it. I gez, think about how great. Number Number Number one, kudos to the MC McDonald Doug one, kudos to the MC McDonald Doug one, kudos to the MC McDonald Doug engineers who designed that freaking engineers who designed that freaking engineers who designed that freaking plane cuz it is freaking amazing. Yeah, plane cuz it is freaking amazing. Yeah, plane cuz it is freaking amazing. Yeah, I mean it it can it can still outperform I mean it it can it can still outperform I mean it it can it can still outperform like uh the like uh the like uh the F22. Yeah, certainly. Is it funny to F22. Yeah, certainly. Is it funny to F22. Yeah, certainly. Is it funny to think that all these great planes that think that all these great planes that think that all these great planes that were designed in the late 60s and 70s were designed in the late 60s and 70s were designed in the late 60s and 70s are the best ones out there? Yeah. Oh, are the best ones out there? Yeah. Oh, are the best ones out there? Yeah. Oh, no. no. no. SR71. If you ever watch a documentary on SR71. If you ever watch a documentary on SR71. If you ever watch a documentary on how that thing was engineered and how that thing was engineered and how that thing was engineered and designed, it's unfreaking believable. designed, it's unfreaking believable. designed, it's unfreaking believable. It's like they figured this stuff out in It's like they figured this stuff out in It's like they figured this stuff out in the 50s. It feel like Leonard and I had the 50s. It feel like Leonard and I had the 50s. It feel like Leonard and I had a chat where we agreed. I think we were a chat where we agreed. I think we were a chat where we agreed. I think we were smarter back then than we are today. Did smarter back then than we are today. Did smarter back then than we are today. Did you guys remember we went to the moon? you guys remember we went to the moon? you guys remember we went to the moon? So, did we So, did we So, did we Oh, yeah. Well, some people don't. Yeah. Oh, yeah. Well, some people don't. Yeah. Oh, yeah. Well, some people don't. Yeah. True. Yeah. Right. You're right. True. Yeah. Right. You're right. True. Yeah. Right. You're right. remember OJ Simpson in Capricorn 1. I remember OJ Simpson in Capricorn 1. I remember OJ Simpson in Capricorn 1. I mean, I do remember that. Yep, I do.

mean, I do remember that. Yep, I do. mean, I do remember that. Yep, I do. Maybe we were really good at virtual Maybe we were really good at virtual Maybe we were really good at virtual reality back then. More than we were reality back then. More than we were reality back then. More than we were capsule doesn't burn up on re-entry capsule doesn't burn up on re-entry capsule doesn't burn up on re-entry because they're going to be coming for because they're going to be coming for because they're going to be coming for you like Capricorn one. Oh my god. you like Capricorn one. Oh my god. you like Capricorn one. Oh my god. I know that's some crazy stuff there. I know that's some crazy stuff there. I know that's some crazy stuff there. Yeah. Hey, by the way, a slight change Yeah. Hey, by the way, a slight change Yeah. Hey, by the way, a slight change of topic. I got we throw you this um I of topic. I got we throw you this um I of topic. I got we throw you this um I saw today that the open AI the latest saw today that the open AI the latest saw today that the open AI the latest open AI model is now not allowing you to open AI model is now not allowing you to open AI model is now not allowing you to do studio Giblly type illustrations. do studio Giblly type illustrations. do studio Giblly type illustrations. Damn it. Uh so they blocked that. They Damn it. Uh so they blocked that. They Damn it. Uh so they blocked that. They blocked the So for folks that don't know blocked the So for folks that don't know blocked the So for folks that don't know you could you could create you create you could you could create you create you could you could create you create all these new cool stuff and one of them all these new cool stuff and one of them all these new cool stuff and one of them is in the style of uh you know Miyazaki is in the style of uh you know Miyazaki is in the style of uh you know Miyazaki and Studio Gibli you can create and Studio Gibli you can create and Studio Gibli you can create illustrations which someone in about 3 illustrations which someone in about 3 illustrations which someone in about 3 seconds figured out oh that means they seconds figured out oh that means they seconds figured out oh that means they trained the model on copyrighted trained the model on copyrighted trained the model on copyrighted information. Yeah. Yeah. And now you can information. Yeah. Yeah. And now you can information. Yeah. Yeah. And now you can create like pseudo cop, you know, stuff create like pseudo cop, you know, stuff create like pseudo cop, you know, stuff that mimics the copyrighted information that mimics the copyrighted information that mimics the copyrighted information for free. And so they shut it down cuz I for free. And so they shut it down cuz I for free. And so they shut it down cuz I you definitely saw the post cuz like a you definitely saw the post cuz like a you definitely saw the post cuz like a lot of amazing Japanese artists are just lot of amazing Japanese artists are just lot of amazing Japanese artists are just being swept being swept being swept aside. Yeah. Crazy. And it's like how aside. Yeah. Crazy. And it's like how aside. Yeah. Crazy. And it's like how did that happen? Like what was the did that happen? Like what was the did that happen? Like what was the internal check off process in Open AI to internal check off process in Open AI to internal check off process in Open AI to say yeah this is good. This is fine. you say yeah this is good. This is fine. you say yeah this is good. This is fine. you know this we can we can we can train on know this we can we can we can train on know this we can we can we can train on copyrighted information and then allow copyrighted information and then allow copyrighted information and then allow people yeah you know I mean it's so people yeah you know I mean it's so people yeah you know I mean it's so wrong you know it's it's so wrong it's wrong you know it's it's so wrong it's wrong you know it's it's so wrong it's like you know people who who like you know people who who like you know people who who who think that this stuff is okay I mean who think that this stuff is okay I mean who think that this stuff is okay I mean you're you're going to up you know you're you're going to up you know you're you're going to up you know you're going against humanity I mean

you're going against humanity I mean you're going against humanity I mean arts is about humanity right it's not arts is about humanity right it's not arts is about humanity right it's not about a freaking machine copying what a about a freaking machine copying what a about a freaking machine copying what a human does and you know expresses their human does and you know expresses their human does and you know expresses their talent I I think Yeah, that's worse than talent I I think Yeah, that's worse than talent I I think Yeah, that's worse than I mean that's like Yeah, it's up there I mean that's like Yeah, it's up there I mean that's like Yeah, it's up there with murder man in my book. It's like with murder man in my book. It's like with murder man in my book. It's like definitely corporate it's corporate malf definitely corporate it's corporate malf definitely corporate it's corporate malf for sure. They're taking full advantage for sure. They're taking full advantage for sure. They're taking full advantage of the slow uh pace of anything of the slow uh pace of anything of the slow uh pace of anything happening legally and also deep pockets. happening legally and also deep pockets. happening legally and also deep pockets. So these smaller creators can't really So these smaller creators can't really So these smaller creators can't really fight these cases, right? Unless they fight these cases, right? Unless they fight these cases, right? Unless they turn into Although in this case it's turn into Although in this case it's turn into Although in this case it's like studio gig like you know pretty like studio gig like you know pretty like studio gig like you know pretty major. Yeah, you know what I'm saying? major. Yeah, you know what I'm saying? major. Yeah, you know what I'm saying? You need a major player. Like if you're You need a major player. Like if you're You need a major player. Like if you're an individual creator, there would be an individual creator, there would be an individual creator, there would be very little that you could do, right? very little that you could do, right? very little that you could do, right? Unless you had deep pockets. So true. Unless you had deep pockets. So true. Unless you had deep pockets. So true. True. Yeah. Isn't this just like a a True. Yeah. Isn't this just like a a True. Yeah. Isn't this just like a a slow motion disaster basically? This slow motion disaster basically? This slow motion disaster basically? This whole thing is a slow motion disaster. I whole thing is a slow motion disaster. I whole thing is a slow motion disaster. I mean, that that's just one data point to mean, that that's just one data point to mean, that that's just one data point to what's happening across the board with what's happening across the board with what's happening across the board with this AI stuff, right? Yeah. I mean, the this AI stuff, right? Yeah. I mean, the this AI stuff, right? Yeah. I mean, the cat is out of the back now. Yeah.

cat is out of the back now. Yeah. cat is out of the back now. Yeah. things are fueled by data and and things are fueled by data and and things are fueled by data and and corporations or anybody or even corporations or anybody or even corporations or anybody or even governments are going to go after data governments are going to go after data governments are going to go after data wherever it is, right? They ask they wherever it is, right? They ask they wherever it is, right? They ask they ask, you know, they apologize later, but ask, you know, they apologize later, but ask, you know, they apologize later, but they're not going to ask for permission. they're not going to ask for permission. they're not going to ask for permission. Well, I mean, look at Demetri's Well, I mean, look at Demetri's Well, I mean, look at Demetri's wallpaper there. You've got South Park. wallpaper there. You've got South Park. wallpaper there. You've got South Park. That's Yeah, I was thinking about that. That's Yeah, I was thinking about that. That's Yeah, I was thinking about that. It's probably copyrighted material. It's probably copyrighted material. It's probably copyrighted material. Probably going to get probably going to get a message from probably going to get a message from YouTube very soon. YouTube very soon. YouTube very soon. Gosh. No, you was done by Open AI, so I Gosh. No, you was done by Open AI, so I Gosh. No, you was done by Open AI, so I can say, "Hey, that's not me. I just can say, "Hey, that's not me. I just can say, "Hey, that's not me. I just wrote something." Oh my god. By the way, we we we talked Oh my god. By the way, we we we talked about that, I think, in the previous about that, I think, in the previous about that, I think, in the previous show. Peter, the the way that those show. Peter, the the way that those show. Peter, the the way that those models now integrate text with images is models now integrate text with images is models now integrate text with images is finally good. Actually, it is really finally good. Actually, it is really finally good. Actually, it is really now. Even this one I generated in now. Even this one I generated in now. Even this one I generated in December, I think it's in January, it's December, I think it's in January, it's December, I think it's in January, it's still a little bit crappy, but I've done still a little bit crappy, but I've done still a little bit crappy, but I've done more experience recently. It's really more experience recently. It's really more experience recently. It's really really nicely done. The way they merge really nicely done. The way they merge really nicely done. The way they merge the text. Yeah. Is really fixed now. the text. Yeah. Is really fixed now. the text. Yeah. Is really fixed now. It's amazing. No, it definitely has a It's amazing. No, it definitely has a It's amazing. No, it definitely has a place. It's just this whole this is kind place. It's just this whole this is kind place. It's just this whole this is kind of like, you know, in the edge AI world, of like, you know, in the edge AI world, of like, you know, in the edge AI world, we don't we don't really battle this we don't we don't really battle this we don't we don't really battle this issue, but it does give AI in general a issue, but it does give AI in general a issue, but it does give AI in general a pretty bad rep when it's just used for pretty bad rep when it's just used for pretty bad rep when it's just used for mimicking copyrighted material like mimicking copyrighted material like mimicking copyrighted material like that. So, I just think it was an that. So, I just think it was an that. So, I just think it was an unfortunate misstep, and I would expect unfortunate misstep, and I would expect unfortunate misstep, and I would expect that someone at Open AI and their chain that someone at Open AI and their chain that someone at Open AI and their chain of command would have sort of of command would have sort of of command would have sort of enlightened. But that you know guys I enlightened. But that you know guys I enlightened. But that you know guys I mean that that raises an interesting mean that that raises an interesting mean that that raises an interesting problem because this has been existing problem because this has been existing problem because this has been existing in human societies for decades. People in human societies for decades. People in human societies for decades. People copy other people. The problem now is

copy other people. The problem now is copy other people. The problem now is that it's the scale. It's the scale at that it's the scale. It's the scale at that it's the scale. It's the scale at which Yes. Exactly. which Yes. Exactly. which Yes. Exactly. The problem is the scale at which we we The problem is the scale at which we we The problem is the scale at which we we can do it now. But this will have if you can do it now. But this will have if you can do it now. But this will have if you want to fix that you're going to need to want to fix that you're going to need to want to fix that you're going to need to do some very profound work on societies do some very profound work on societies do some very profound work on societies and on education on values. And that's and on education on values. And that's and on education on values. And that's one of the problem. There's no other one of the problem. There's no other one of the problem. There's no other values that money nowadays. Anyway, values that money nowadays. Anyway, values that money nowadays. Anyway, Rob's got some Rob's got some Rob's got some good announcement. You heard Sam Alman good announcement. You heard Sam Alman good announcement. You heard Sam Alman say a couple of weeks ago that he needs say a couple of weeks ago that he needs say a couple of weeks ago that he needs to uh have copyrighted material or China to uh have copyrighted material or China to uh have copyrighted material or China will win AI. It's probably true. I guess will win AI. It's probably true. I guess will win AI. It's probably true. I guess I guess that I don't think it's true. I guess that I don't think it's true. I guess that I don't think it's true. No, no, that what you're saying is true. No, no, that what you're saying is true. No, no, that what you're saying is true. Will will China will China win if they Will will China will China win if they Will will China will China win if they don't do all this stuff? I think is don't do all this stuff? I think is don't do all this stuff? I think is absolutely false. No. No. Yeah, agreed. absolutely false. No. No. Yeah, agreed. absolutely false. No. No. Yeah, agreed. But there is a disadvantage if you don't But there is a disadvantage if you don't But there is a disadvantage if you don't open the floodgates to the data right open the floodgates to the data right open the floodgates to the data right now now now because they will do it. They've been because they will do it. They've been because they will do it. They've been doing it for 25 years. It's all doing it for 25 years. It's all doing it for 25 years. It's all intellectual property in everywhere in intellectual property in everywhere in intellectual property in everywhere in the world until I think putting the world until I think putting the world until I think putting firewalls. So, but yeah, I think yeah, I firewalls. So, but yeah, I think yeah, I firewalls. So, but yeah, I think yeah, I think see these are I think that might think see these are I think that might think see these are I think that might be a misconception. Um I think we you be a misconception. Um I think we you be a misconception. Um I think we you know our guys probably steal as much know our guys probably steal as much know our guys probably steal as much stuff in terms of copyright but but in stuff in terms of copyright but but in stuff in terms of copyright but but in the grander scheme of what what the grander scheme of what what the grander scheme of what what constitutes winning in AI is not constitutes winning in AI is not constitutes winning in AI is not necessarily the data it's a better more necessarily the data it's a better more necessarily the data it's a better more efficient model right or set of models

efficient model right or set of models efficient model right or set of models and what you know the the Chinese and what you know the the Chinese and what you know the the Chinese approach is different from what the US approach is different from what the US approach is different from what the US um tech companies are doing we're really um tech companies are doing we're really um tech companies are doing we're really depending on u creating these world depending on u creating these world depending on u creating these world models that supposedly know everything models that supposedly know everything models that supposedly know everything and they're trying to close that gap in, and they're trying to close that gap in, and they're trying to close that gap in, you know, between what's transpiring you know, between what's transpiring you know, between what's transpiring real time uh with um what's represented real time uh with um what's represented real time uh with um what's represented in the model. That that's that's a in the model. That that's that's a in the model. That that's that's a different objective, right? different objective, right? different objective, right? the the Chinese are doing something the the Chinese are doing something the the Chinese are doing something different which has resulted in deep different which has resulted in deep different which has resulted in deep seat which has resulted in Quen that are seat which has resulted in Quen that are seat which has resulted in Quen that are trained on um there's an efficiency trained on um there's an efficiency trained on um there's an efficiency there that that cannot be matched by there that that cannot be matched by there that that cannot be matched by what you know Google or any of these what you know Google or any of these what you know Google or any of these guys at the moment but it wouldn't it guys at the moment but it wouldn't it guys at the moment but it wouldn't it wouldn't have happened if we didn't had wouldn't have happened if we didn't had wouldn't have happened if we didn't had the Google open AI first or before so the Google open AI first or before so the Google open AI first or before so it's it's inated why why why are you it's it's inated why why why are you it's it's inated why why why are you saying that why are you saying that if saying that why are you saying that if saying that why are you saying that if they started from totally scrap scratch. they started from totally scrap scratch. they started from totally scrap scratch. Well, it started with the transformer Well, it started with the transformer Well, it started with the transformer from deep. Yeah. So, it's just an from deep. Yeah. So, it's just an from deep. Yeah. So, it's just an architecture. Okay. That's where it architecture. Okay. That's where it architecture. Okay. That's where it started. And if that hadn't happened, started. And if that hadn't happened, started. And if that hadn't happened, nobody would be doing any of this stuff.

nobody would be doing any of this stuff. nobody would be doing any of this stuff. Exactly. Google acquired them and then Exactly. Google acquired them and then Exactly. Google acquired them and then it started. Yeah. And the point is that it started. Yeah. And the point is that it started. Yeah. And the point is that if we don't continue on the path of if we don't continue on the path of if we don't continue on the path of evolution or or I would say the evolution or or I would say the evolution or or I would say the researching and and developing the researching and and developing the researching and and developing the technology and if we put boundaries technology and if we put boundaries technology and if we put boundaries which are artificial that the others which are artificial that the others which are artificial that the others don't put you at the disadvantage. But don't put you at the disadvantage. But don't put you at the disadvantage. But there's there's a difference I think there's there's a difference I think there's there's a difference I think Demetri on on you we can you know the Demetri on on you we can you know the Demetri on on you we can you know the challenge is how do you create a very challenge is how do you create a very challenge is how do you create a very efficient AI infrastructure without efficient AI infrastructure without efficient AI infrastructure without pirating copyrighted material and I pirating copyrighted material and I pirating copyrighted material and I think that's a hard problem to solve and think that's a hard problem to solve and think that's a hard problem to solve and it's a problem that I think the US AI it's a problem that I think the US AI it's a problem that I think the US AI you know community should solve that um you know community should solve that um you know community should solve that um so it doesn't mean that you have to so it doesn't mean that you have to so it doesn't mean that you have to publicly make available the ability publicly make available the ability publicly make available the ability to information I agree I agree of course to information I agree I agree of course to information I agree I agree of course it's an exaggeration but I also and I it's an exaggeration but I also and I it's an exaggeration but I also and I said that on the show before we are said that on the show before we are said that on the show before we are going to have to rethink all that going to have to rethink all that going to have to rethink all that because again it's an issue of speed and because again it's an issue of speed and because again it's an issue of speed and scale. Because let me give you an scale. Because let me give you an scale. Because let me give you an example. You learn things at school. You example. You learn things at school. You example. You learn things at school. You go create a venture. You make a lot of go create a venture. You make a lot of go create a venture. You make a lot of money. Do you owe money back to the money. Do you owe money back to the money. Do you owe money back to the teacher that taught you things? No. Why teacher that taught you things? No. Why teacher that taught you things? No. Why not? You pay you teacher already paid.

not? You pay you teacher already paid. not? You pay you teacher already paid. Teacher teacher already got paid. The Teacher teacher already got paid. The Teacher teacher already got paid. The teacher got paid. Teacher already got teacher got paid. Teacher already got teacher got paid. Teacher already got paid, man. Hey, I I bought the DVD on paid, man. Hey, I I bought the DVD on paid, man. Hey, I I bought the DVD on the movies. I watch it and I put it in the movies. I watch it and I put it in the movies. I watch it and I put it in my model. It's fundamentally the same my model. It's fundamentally the same my model. It's fundamentally the same thing. You're getting some knowledge. thing. You're getting some knowledge. thing. You're getting some knowledge. You're getting some intelligence from a You're getting some intelligence from a You're getting some intelligence from a source. Yeah, but when you buy the DVD, source. Yeah, but when you buy the DVD, source. Yeah, but when you buy the DVD, you don't have the uh you don't have the you don't have the uh you don't have the you don't have the uh you don't have the rights to then copy that DVD and resell rights to then copy that DVD and resell rights to then copy that DVD and resell it to your friends for 10 bucks each. it to your friends for 10 bucks each. it to your friends for 10 bucks each. No, agree. But you you're thinking I No, agree. But you you're thinking I No, agree. But you you're thinking I think I'm not You don't own all of the think I'm not You don't own all of the think I'm not You don't own all of the you don't own the copyright once you buy you don't own the copyright once you buy you don't own the copyright once you buy the DVD. I'm not explaining myself. the DVD. I'm not explaining myself. the DVD. I'm not explaining myself. Well, but or you don't exactly Well, but or you don't exactly Well, but or you don't exactly I would agree with that. I would agree I would agree with that. I would agree I would agree with that. I would agree with that. Not explaining yourself. No, with that. Not explaining yourself. No, with that. Not explaining yourself. No, again the the point is that the point is again the the point is that the point is again the the point is that the point is that how you create value from what that how you create value from what that how you create value from what sources is going to change with those sources is going to change with those sources is going to change with those new tools. That's what I'm saying. I new tools. That's what I'm saying. I new tools. That's what I'm saying. I mean, I don't know. I I think I people mean, I don't know. I I think I people mean, I don't know. I I think I people re people reward their mentors when they re people reward their mentors when they re people reward their mentors when they make money or when they are successful. make money or when they are successful. make money or when they are successful. It's kind of the same idea. But I think It's kind of the same idea. But I think It's kind of the same idea. But I think I agree with your earlier comment that I agree with your earlier comment that I agree with your earlier comment that we have to rethink this whole thing we have to rethink this whole thing we have to rethink this whole thing because Yeah, that's my point. When when because Yeah, that's my point. When when because Yeah, that's my point. When when it was when it was first introduced, no it was when it was first introduced, no it was when it was first introduced, no one thought about it from a cyber or one thought about it from a cyber or one thought about it from a cyber or privacy perspective, it was like, look privacy perspective, it was like, look privacy perspective, it was like, look at this cool I can do. Exactly.

at this cool I can do. Exactly. at this cool I can do. Exactly. Look at these poems they can write. And Look at these poems they can write. And Look at these poems they can write. And it's societal. It's societal and it's at it's societal. It's societal and it's at it's societal. It's societal and it's at the level of impact of the level of the the level of impact of the level of the the level of impact of the level of the level of value, which is one problem level of value, which is one problem level of value, which is one problem because nobody talks about value anymore because nobody talks about value anymore because nobody talks about value anymore in this world. But this copyright thing in this world. But this copyright thing in this world. But this copyright thing has been around for even with Google has been around for even with Google has been around for even with Google search. you know, the New York Times search. you know, the New York Times search. you know, the New York Times sued, you know, the idea of like sued, you know, the idea of like sued, you know, the idea of like monetizing people's copyright monetizing people's copyright monetizing people's copyright information and then selling that as a information and then selling that as a information and then selling that as a search, you know, advertising business search, you know, advertising business search, you know, advertising business has been in the courts forever and a lot has been in the courts forever and a lot has been in the courts forever and a lot of the media companies early on of the media companies early on of the media companies early on capitulated to Google, you know, in capitulated to Google, you know, in capitulated to Google, you know, in exchange for, you know, exposure and not exchange for, you know, exposure and not exchange for, you know, exposure and not being shown search engine. So, this has being shown search engine. So, this has being shown search engine. So, this has been going on since the beginning of I been going on since the beginning of I been going on since the beginning of I would say time. So, but it's going to would say time. So, but it's going to would say time. So, but it's going to reach a point where we have to rethink reach a point where we have to rethink reach a point where we have to rethink the whole thing because it just doesn't the whole thing because it just doesn't the whole thing because it just doesn't work anymore realistically. You know work anymore realistically. You know work anymore realistically. You know what Dimmitri is talking about? There what Dimmitri is talking about? There what Dimmitri is talking about? There was a good example in the movie The was a good example in the movie The was a good example in the movie The Social Network when Zuckerberg made some Social Network when Zuckerberg made some Social Network when Zuckerberg made some comment. It's like if I created a a comment. It's like if I created a a comment. It's like if I created a a chair, a rocking chair, do I owe money chair, a rocking chair, do I owe money chair, a rocking chair, do I owe money to everyone who ever made a chair before to everyone who ever made a chair before to everyone who ever made a chair before when he was talking about was I copying when he was talking about was I copying when he was talking about was I copying um the Winklevi twins when creating the um the Winklevi twins when creating the um the Winklevi twins when creating the Facebook, you know, and it's kind of Facebook, you know, and it's kind of Facebook, you know, and it's kind of there's everybody's Yeah, I it's it got there's everybody's Yeah, I it's it got there's everybody's Yeah, I it's it got into your brain and you're going to kind into your brain and you're going to kind into your brain and you're going to kind of use it. I totally get where you're of use it. I totally get where you're of use it. I totally get where you're coming from, Demetri. But there is a coming from, Demetri. But there is a coming from, Demetri. But there is a wellestablished copyright law like you wellestablished copyright law like you wellestablished copyright law like you know precedent out there like copying know precedent out there like copying know precedent out there like copying songs like George Harrison got sued for songs like George Harrison got sued for songs like George Harrison got sued for a song he wrote that sort of sounded a song he wrote that sort of sounded a song he wrote that sort of sounded like another sign. So there's a process like another sign. So there's a process like another sign. So there's a process for like identifying copyrighted for like identifying copyrighted for like identifying copyrighted material and how close it is to the material and how close it is to the material and how close it is to the original. So but right now it feels like

original. So but right now it feels like original. So but right now it feels like from an AI perspective we just sort of from an AI perspective we just sort of from an AI perspective we just sort of thrown the book out the window. We thrown the book out the window. We thrown the book out the window. We pretty much threw the book out the pretty much threw the book out the pretty much threw the book out the window. But hey, props to Bill. Props to window. But hey, props to Bill. Props to window. But hey, props to Bill. Props to Bill. I checked out his uh smart city Bill. I checked out his uh smart city Bill. I checked out his uh smart city web webinar on Wednesday, right? Cool. web webinar on Wednesday, right? Cool. web webinar on Wednesday, right? Cool. Thank you. Thank you. Yeah, that was Thank you. Thank you. Yeah, that was Thank you. Thank you. Yeah, that was that was nice, right? It was nice. I that was nice, right? It was nice. I that was nice, right? It was nice. I mean, Frisco Frisco is changing the game mean, Frisco Frisco is changing the game mean, Frisco Frisco is changing the game really. I mean, if you saw one, if you really. I mean, if you saw one, if you really. I mean, if you saw one, if you saw their building and how modern it is saw their building and how modern it is saw their building and how modern it is and the highrises that are going up over and the highrises that are going up over and the highrises that are going up over there, Universal, Universal is coming there, Universal, Universal is coming there, Universal, Universal is coming and building there. and building there. and building there. San Francisco. Is that what we're San Francisco. Is that what we're San Francisco. Is that what we're talking about? San Francisco? Cuz I talking about? San Francisco? Cuz I talking about? San Francisco? Cuz I don't. No, no, no. Frisco. Frisco, don't. No, no, no. Frisco. Frisco, don't. No, no, no. Frisco. Frisco, Texas. North of Plano. Texas. North of Plano. Texas. North of Plano. Frisco, Texas. I mean, look, they need Frisco, Texas. I mean, look, they need Frisco, Texas. I mean, look, they need to change your name. I wasn't sure what to change your name. I wasn't sure what to change your name. I wasn't sure what you were talking about. It is. It is you were talking about. It is. It is you were talking about. It is. It is amazing what they're doing and the way amazing what they're doing and the way amazing what they're doing and the way that they're approaching this that they're approaching this that they're approaching this totally different. I mean, the totally different. I mean, the totally different. I mean, the engagement that they get inside the city engagement that they get inside the city engagement that they get inside the city is just flatout awesome. That's cool.

is just flatout awesome. That's cool. is just flatout awesome. That's cool. I've never seen uh you know vertically I've never seen uh you know vertically I've never seen uh you know vertically integrated organizations look at each integrated organizations look at each integrated organizations look at each other and go, "Well, let's just share other and go, "Well, let's just share other and go, "Well, let's just share data." data." data." Really? That's That's nuts. No, Really? That's That's nuts. No, Really? That's That's nuts. No, no, no. It's my data. It's copyrighted. no, no. It's my data. It's copyrighted. no, no. It's my data. It's copyrighted. Yeah. Yeah. No, I mean that it it is Yeah. Yeah. No, I mean that it it is Yeah. Yeah. No, I mean that it it is just I'm I'm I'm literally I'm They're just I'm I'm I'm literally I'm They're just I'm I'm I'm literally I'm They're so forward thinking. That's great. And so forward thinking. That's great. And so forward thinking. That's great. And it it's it's just I I can't I can't wait it it's it's just I I can't I can't wait it it's it's just I I can't I can't wait for us to uh to do some of the things for us to uh to do some of the things for us to uh to do some of the things with them. I mean, we're right now we're with them. I mean, we're right now we're with them. I mean, we're right now we're kind of heavily focused on what they're kind of heavily focused on what they're kind of heavily focused on what they're doing for the World Cup. H and uh I just doing for the World Cup. H and uh I just doing for the World Cup. H and uh I just love the Dallas Cowboys Star facility love the Dallas Cowboys Star facility love the Dallas Cowboys Star facility there in Frisco. It's amazing. The there in Frisco. It's amazing. The there in Frisco. It's amazing. The office for economic development office for economic development office for economic development overlooks the training facility. Oh, overlooks the training facility. Oh, overlooks the training facility. Oh, wow. That's wow. That's wow. That's cool. Yeah. So, that's the most cool. Yeah. So, that's the most cool. Yeah. So, that's the most highlighted positive thing you'll ever highlighted positive thing you'll ever highlighted positive thing you'll ever see about the Dallas Cowboys. will see about the Dallas Cowboys. will see about the Dallas Cowboys. will probably for the next 30 years. For the probably for the next 30 years. For the probably for the next 30 years. For the next 30 years. I mean, just believe me next 30 years. I mean, just believe me next 30 years. I mean, just believe me when I say but but look at the look at when I say but but look at the look at when I say but but look at the look at the the the uh organizations that are the the the uh organizations that are the the the uh organizations that are moving out there. I mean, plug and play moving out there. I mean, plug and play moving out there. I mean, plug and play just just just put up a a huge building in there and put up a a huge building in there and put up a a huge building in there and and they've got like I the VC community and they've got like I the VC community and they've got like I the VC community out there is just phenomenal. Wow. Good out there is just phenomenal. Wow. Good out there is just phenomenal. Wow. Good for Dallas. Yeah. Yeah. Yeah. That's for Dallas. Yeah. Yeah. Yeah. That's for Dallas. Yeah. Yeah. Yeah. That's awesome. Good. Good stuff. All right.

awesome. Good. Good stuff. All right. awesome. Good. Good stuff. All right. All right. We just lost it right there. All right. We just lost it right there. All right. We just lost it right there. Yeah. Just died right there. No, no, no. Yeah. Just died right there. No, no, no. Yeah. Just died right there. No, no, no. I I I splice. I think I've lo awesome stuff, splice. I think I've lo awesome stuff, splice. I think I've lo awesome stuff, man. That's incredible. You know, we man. That's incredible. You know, we man. That's incredible. You know, we need we need good stories or or at least need we need good stories or or at least need we need good stories or or at least not good stories. Good cookbooks for how not good stories. Good cookbooks for how not good stories. Good cookbooks for how to make the stuff. Successful to make the stuff. Successful to make the stuff. Successful deployments. Yes. Successful success deployments. Yes. Successful success deployments. Yes. Successful success stories like that are important. Well, stories like that are important. Well, stories like that are important. Well, that I mean it is to that to that point that I mean it is to that to that point that I mean it is to that to that point that's that's kind of what we're doing that's that's kind of what we're doing that's that's kind of what we're doing and and I mean weirdly enough I mean you and and I mean weirdly enough I mean you and and I mean weirdly enough I mean you know it's it's it's taking a group know it's it's it's taking a group know it's it's it's taking a group independently each one of the companies independently each one of the companies independently each one of the companies that we're that we're working with has that we're that we're working with has that we're that we're working with has done something in the cities and we you done something in the cities and we you done something in the cities and we you know together with Nvidia and AMS who's know together with Nvidia and AMS who's know together with Nvidia and AMS who's a master systems integrator and a master systems integrator and a master systems integrator and everything and True North and I mean everything and True North and I mean everything and True North and I mean that we've got this collective that we've got this collective that we've got this collective put together and we're merging solutions put together and we're merging solutions put together and we're merging solutions to be very to be very to be very modular so that you lay the foundation modular so that you lay the foundation modular so that you lay the foundation and the framework and then as the city and the framework and then as the city and the framework and then as the city grows and wants to do other things they grows and wants to do other things they grows and wants to do other things they just go okay well here you go here you just go okay well here you go here you just go okay well here you go here you go and you just kind of find a switch go and you just kind of find a switch go and you just kind of find a switch and these things come on um yeah I think and these things come on um yeah I think and these things come on um yeah I think in the IoT and edge space I mean we in the IoT and edge space I mean we in the IoT and edge space I mean we found it the same way in AJI foundation found it the same way in AJI foundation found it the same way in AJI foundation like I think years ago it was like how like I think years ago it was like how like I think years ago it was like how do we make this stuff work and now it's do we make this stuff work and now it's do we make this stuff work and now it's like how do deploy it and commercialize like how do deploy it and commercialize like how do deploy it and commercialize it. And so I think kind of sharing it. And so I think kind of sharing it. And so I think kind of sharing success stories about and you're showing success stories about and you're showing success stories about and you're showing patterns, right? So like we just did a patterns, right? So like we just did a patterns, right? So like we just did a live stream with SoftBank about

live stream with SoftBank about live stream with SoftBank about aquaculture in Japan and how they're aquaculture in Japan and how they're aquaculture in Japan and how they're using AI vision to count fish and number using AI vision to count fish and number using AI vision to count fish and number of fish and fish sizes and disease on of fish and fish sizes and disease on of fish and fish sizes and disease on fish. Like really doing amazing things fish. Like really doing amazing things fish. Like really doing amazing things with aquaculture and like someone's with aquaculture and like someone's with aquaculture and like someone's going to see that and say that I don't going to see that and say that I don't going to see that and say that I don't exactly have that kind of problem, but exactly have that kind of problem, but exactly have that kind of problem, but something similar to that and then I something similar to that and then I something similar to that and then I that's pretty cool. I can use that to that's pretty cool. I can use that to that's pretty cool. I can use that to solve my problem too. So I think the solve my problem too. So I think the solve my problem too. So I think the more we can syndicate these patterns of more we can syndicate these patterns of more we can syndicate these patterns of success or best practices I think the success or best practices I think the success or best practices I think the better and that's what people ask me better and that's what people ask me better and that's what people ask me these days is like how do you deploy it these days is like how do you deploy it these days is like how do you deploy it to solve a problem and what are the to solve a problem and what are the to solve a problem and what are the pieces involved how how can I do that pieces involved how how can I do that pieces involved how how can I do that right but from a practitioner's view not right but from a practitioner's view not right but from a practitioner's view not from a vendor's view and I think that from a vendor's view and I think that from a vendor's view and I think that the biggest problem right now and you the biggest problem right now and you the biggest problem right now and you know even with the walkthrough that you know even with the walkthrough that you know even with the walkthrough that you did uh for me Bill what's impressive is did uh for me Bill what's impressive is did uh for me Bill what's impressive is the recognition of the challenges the the recognition of the challenges the the recognition of the challenges the you know like the freaking you know the you know like the freaking you know the you know like the freaking you know the gap of the ugly stuff right if you don't gap of the ugly stuff right if you don't gap of the ugly stuff right if you don't know what the gap of the, you know, if know what the gap of the, you know, if know what the gap of the, you know, if you don't know what the ugly is, you you don't know what the ugly is, you you don't know what the ugly is, you don't know what you're doing. No, you don't know what you're doing. No, you don't know what you're doing. No, you have to see the ugly. You know, going have to see the ugly. You know, going have to see the ugly. You know, going back to the edge AI, enterprise AI back to the edge AI, enterprise AI back to the edge AI, enterprise AI stuff, for 2 years, people still don't stuff, for 2 years, people still don't stuff, for 2 years, people still don't understand the ugly, which is understand the ugly, which is understand the ugly, which is astonishing for me, right? And um that astonishing for me, right? And um that astonishing for me, right? And um that tells you how far off enterprise gen AI, tells you how far off enterprise gen AI, tells you how far off enterprise gen AI, you know, stuff that's enterprise grade, you know, stuff that's enterprise grade, you know, stuff that's enterprise grade, telco grade, um industrial grade is it telco grade, um industrial grade is it telco grade, um industrial grade is it is if you don't fundamentally address is if you don't fundamentally address is if you don't fundamentally address the the technological limitations and the the technological limitations and the the technological limitations and understand how that limits what you can

understand how that limits what you can understand how that limits what you can do. You you can never work as a vendor. do. You you can never work as a vendor. do. You you can never work as a vendor. You can never work with a customer in You can never work with a customer in You can never work with a customer in realizing success because number one, realizing success because number one, realizing success because number one, you're pinging a bunch of stuff that's you're pinging a bunch of stuff that's you're pinging a bunch of stuff that's like like like experimental. Um, you're hopefully experimental. Um, you're hopefully experimental. Um, you're hopefully managing expectation with the customer managing expectation with the customer managing expectation with the customer that you guys are jointly trying to that you guys are jointly trying to that you guys are jointly trying to figure this crap out, right? Um, but figure this crap out, right? Um, but figure this crap out, right? Um, but that you have to close that gap. You're that you have to close that gap. You're that you have to close that gap. You're only discovering what's ugly. You only discovering what's ugly. You only discovering what's ugly. You actually don't know what ugly is. And so actually don't know what ugly is. And so actually don't know what ugly is. And so it's the practitioner's view I think it's the practitioner's view I think it's the practitioner's view I think that's so much more important than a lot that's so much more important than a lot that's so much more important than a lot of the stuff that the the vendors are of the stuff that the the vendors are of the stuff that the the vendors are dumping out there. A lot of them who dumping out there. A lot of them who dumping out there. A lot of them who don't even have any experience, haven't don't even have any experience, haven't don't even have any experience, haven't even gone through the process of even gone through the process of even gone through the process of figuring out what those limitations are, figuring out what those limitations are, figuring out what those limitations are, right? They're just going in there right? They're just going in there right? They're just going in there because the sale guy wants to make their because the sale guy wants to make their because the sale guy wants to make their quota and the marketing people want to quota and the marketing people want to quota and the marketing people want to sales enable a bunch of these guys that sales enable a bunch of these guys that sales enable a bunch of these guys that sell PC's that go nowhere. This is the sell PC's that go nowhere. This is the sell PC's that go nowhere. This is the biggest problem in in in tech today, biggest problem in in in tech today, biggest problem in in in tech today, right? And and and you know, we we've right? And and and you know, we we've right? And and and you know, we we've been dealing with this kind of crap for been dealing with this kind of crap for been dealing with this kind of crap for years. It's just that now it's become years. It's just that now it's become years. It's just that now it's become so disconnected from any realities. At so disconnected from any realities. At so disconnected from any realities. At least back in the day, things were least back in the day, things were least back in the day, things were somewhat grounded. Do you know what I'm somewhat grounded. Do you know what I'm somewhat grounded. Do you know what I'm saying? That people were a little bit saying? That people were a little bit saying? That people were a little bit afraid of like, you know, representing afraid of like, you know, representing afraid of like, you know, representing our technologies as being like a our technologies as being like a our technologies as being like a penacia.

penacia. penacia. and it was welcome when you say that and it was welcome when you say that and it was welcome when you say that Leonard I'm actually I think the pace is Leonard I'm actually I think the pace is Leonard I'm actually I think the pace is definitely faster nowadays I would agree definitely faster nowadays I would agree definitely faster nowadays I would agree with that but I mean I start into the with that but I mean I start into the with that but I mean I start into the and and Rob you can relate to that we and and Rob you can relate to that we and and Rob you can relate to that we started a SQL database in the 80s and started a SQL database in the 80s and started a SQL database in the 80s and and people were buying SQL database and people were buying SQL database and people were buying SQL database before because before they knew what before because before they knew what before because before they knew what they could do with them so it always they could do with them so it always they could do with them so it always takes time before between you know when takes time before between you know when takes time before between you know when a new technology emerges everybody get a new technology emerges everybody get a new technology emerges everybody get excited about it all the vendors stuff excited about it all the vendors stuff excited about it all the vendors stuff stuff on the shelves and then you go stuff on the shelves and then you go stuff on the shelves and then you go into the ugly and then finally you into the ugly and then finally you into the ugly and then finally you mature and you realize we went through mature and you realize we went through mature and you realize we went through that with analytics in the 2000s and that with analytics in the 2000s and that with analytics in the 2000s and right now and we went to that we right now and we went to that we right now and we went to that we probably still there with the the the probably still there with the the the probably still there with the the the basic AI. This is why I actually basic AI. This is why I actually basic AI. This is why I actually personally never found an AI company I personally never found an AI company I personally never found an AI company I could work with because all they're could work with because all they're could work with because all they're doing bunch of tools and they're helping doing bunch of tools and they're helping doing bunch of tools and they're helping us understanding how to inject us understanding how to inject us understanding how to inject prediction in their business workflow prediction in their business workflow prediction in their business workflow because they don't know how to do it. because they don't know how to do it. because they don't know how to do it. Now in five same way that you know when Now in five same way that you know when Now in five same way that you know when analytics came in people didn't know how analytics came in people didn't know how analytics came in people didn't know how to put analytics in their workflow. So to put analytics in their workflow. So to put analytics in their workflow. So there you had to buy all these there you had to buy all these there you had to buy all these consultant to put your technology in consultant to put your technology in consultant to put your technology in practice. So yeah, I think the model practice. So yeah, I think the model practice. So yeah, I think the model that Bill highlighted by hey, you have that Bill highlighted by hey, you have that Bill highlighted by hey, you have to understand the ugly first. So you can to understand the ugly first. So you can to understand the ugly first. So you can progress with technology is really the progress with technology is really the progress with technology is really the but it's been the pattern for many many but it's been the pattern for many many but it's been the pattern for many many years now. Yeah. It's also a broken years now. Yeah. It's also a broken years now. Yeah. It's also a broken cycle like the hype cycle, right? Is cycle like the hype cycle, right? Is cycle like the hype cycle, right? Is people constantly making the same people constantly making the same people constantly making the same mistake and you know I mean why why are mistake and you know I mean why why are mistake and you know I mean why why are we even on the why do we do this all the we even on the why do we do this all the we even on the why do we do this all the time is because we see people making the time is because we see people making the time is because we see people making the same mistakes all the time, you know.

same mistakes all the time, you know. same mistakes all the time, you know. Yeah, Rick Bada, you're not on the show. Yeah, Rick Bada, you're not on the show. Yeah, Rick Bada, you're not on the show. You're going to take a break um for a You're going to take a break um for a You're going to take a break um for a month uh from trolling. You know, the month uh from trolling. You know, the month uh from trolling. You know, the thing is is that we don't run out of thing is is that we don't run out of thing is is that we don't run out of freaking topics because people keep freaking topics because people keep freaking topics because people keep creating new variations of uh mistakes creating new variations of uh mistakes creating new variations of uh mistakes that don't need to be made. I mean, we that don't need to be made. I mean, we that don't need to be made. I mean, we like flat out bring up the ugly so that like flat out bring up the ugly so that like flat out bring up the ugly so that people know what the ugly is. You know people know what the ugly is. You know people know what the ugly is. You know what I'm saying? That's that's that's what I'm saying? That's that's that's what I'm saying? That's that's that's value. That's that's what you were value. That's that's what you were value. That's that's what you were talking before. It's like you basically talking before. It's like you basically talking before. It's like you basically shave off all the nonsense that people shave off all the nonsense that people shave off all the nonsense that people have to go through and all the wasted have to go through and all the wasted have to go through and all the wasted money, all the wasted effort to money, all the wasted effort to money, all the wasted effort to understand what the technology can do understand what the technology can do understand what the technology can do and solving problems cuz ultimately like and solving problems cuz ultimately like and solving problems cuz ultimately like what what uh you know True North and all what what uh you know True North and all what what uh you know True North and all of us do and have in our backgrounds is of us do and have in our backgrounds is of us do and have in our backgrounds is we help um clients or customers um and we help um clients or customers um and we help um clients or customers um and companies organizations apply technology companies organizations apply technology companies organizations apply technology in a successful way. And it's not an in a successful way. And it's not an in a successful way. And it's not an easy thing. It takes discernment. Do you easy thing. It takes discernment. Do you easy thing. It takes discernment. Do you know what I'm saying? You have to have know what I'm saying? You have to have know what I'm saying? You have to have that filter. And that filter is that filter. And that filter is that filter. And that filter is recognizing what's ugly. What the ugly recognizing what's ugly. What the ugly recognizing what's ugly. What the ugly is. Let's talk about Well, let's let's is. Let's talk about Well, let's let's is. Let's talk about Well, let's let's break down what ugly is. So, I think break down what ugly is. So, I think break down what ugly is. So, I think ugly is is double ugly. Okay.

ugly is is double ugly. Okay. ugly is is double ugly. Okay. So, the ugly is the the fact they don't So, the ugly is the the fact they don't So, the ugly is the the fact they don't know what the what problem they want to know what the what problem they want to know what the what problem they want to solve. And the second is when they try solve. And the second is when they try solve. And the second is when they try to pull on AI, what they're doing is to pull on AI, what they're doing is to pull on AI, what they're doing is creating new problems. creating new problems. creating new problems. So it's a double whammy for companies So it's a double whammy for companies So it's a double whammy for companies that are trying to rest to the stuff. So that are trying to rest to the stuff. So that are trying to rest to the stuff. So it's is a mess. 100% agree with that. it's is a mess. 100% agree with that. it's is a mess. 100% agree with that. But maybe that's we haven't find a But maybe that's we haven't find a But maybe that's we haven't find a better pattern for that. So I mean the better pattern for that. So I mean the better pattern for that. So I mean the hype cycle you whether you like it or hype cycle you whether you like it or hype cycle you whether you like it or not it actually works over time. You not it actually works over time. You not it actually works over time. You people get excited. They do a lot of people get excited. They do a lot of people get excited. They do a lot of stupid things and some people like us stupid things and some people like us stupid things and some people like us help them figure out the and it help them figure out the and it help them figure out the and it goes goes goes down and then we go to the next wave. So down and then we go to the next wave. So down and then we go to the next wave. So I mean you call that a mistake. You I mean you call that a mistake. You I mean you call that a mistake. You could call it maturity. It's just that could call it maturity. It's just that could call it maturity. It's just that you maybe we're not that good as human you maybe we're not that good as human you maybe we're not that good as human are going directly from a new innovative are going directly from a new innovative are going directly from a new innovative idea to the plateau of productivity. We idea to the plateau of productivity. We idea to the plateau of productivity. We have to go through crap. It's not it's have to go through crap. It's not it's have to go through crap. It's not it's not stupid. It's it may be like not stupid. It's it may be like not stupid. It's it may be like ignorant. It's just simply not doing ignorant. It's just simply not doing ignorant. It's just simply not doing your homework right. And and even, you your homework right. And and even, you your homework right. And and even, you know, we do have practices out there know, we do have practices out there know, we do have practices out there such as, you know, uh, vendor such as, you know, uh, vendor such as, you know, uh, vendor management, you know, uh, evaluating management, you know, uh, evaluating management, you know, uh, evaluating your vendors and making sure that, hey, your vendors and making sure that, hey, your vendors and making sure that, hey, do they even freaking know what they're do they even freaking know what they're do they even freaking know what they're talking about? Do they have a product talking about? Do they have a product talking about? Do they have a product that actually works? These simple pieces that actually works? These simple pieces that actually works? These simple pieces of due diligence that um, are critical of due diligence that um, are critical of due diligence that um, are critical filters in, you know, for an filters in, you know, for an filters in, you know, for an organization or even individual organization or even individual organization or even individual investing in technologies. These are investing in technologies. These are investing in technologies. These are practices that have been around forever.

practices that have been around forever. practices that have been around forever. It's just that now, you know, they they It's just that now, you know, they they It's just that now, you know, they they don't have the credence and the don't have the credence and the don't have the credence and the application, degree application that application, degree application that application, degree application that they should have, right? And instead, they should have, right? And instead, they should have, right? And instead, what we have is board pressure. They what we have is board pressure. They what we have is board pressure. They hear like some freaking buzzword and hear like some freaking buzzword and hear like some freaking buzzword and next thing you know, they're they're next thing you know, they're they're next thing you know, they're they're taking money away from important things taking money away from important things taking money away from important things and they're shoving into a freaking and they're shoving into a freaking and they're shoving into a freaking science experiment that has a high science experiment that has a high science experiment that has a high probability of failing and delivering probability of failing and delivering probability of failing and delivering absolutely no value for the absolutely no value for the absolutely no value for the organization. This is something we see organization. This is something we see organization. This is something we see all the time. It's not even a theory. all the time. It's not even a theory. all the time. It's not even a theory. It's actually it freaking happens all It's actually it freaking happens all It's actually it freaking happens all the time. It's a big problem. Yeah. Now the time. It's a big problem. Yeah. Now the time. It's a big problem. Yeah. Now that's stupid. It's continuing that that's stupid. It's continuing that that's stupid. It's continuing that pattern is stupid. But it's all rooted pattern is stupid. But it's all rooted pattern is stupid. But it's all rooted in fundamental, you know, like ignorance in fundamental, you know, like ignorance in fundamental, you know, like ignorance of the technology that there's nothing of the technology that there's nothing of the technology that there's nothing wrong with that. You should learn. But wrong with that. You should learn. But wrong with that. You should learn. But there's a whole process that we they're there's a whole process that we they're there's a whole process that we they're processes and practices that we have to processes and practices that we have to processes and practices that we have to I think this is prevent that that kind I think this is prevent that that kind I think this is prevent that that kind of you know bad investment. I would say of you know bad investment. I would say of you know bad investment. I would say on the upside on the positive note there on the upside on the positive note there on the upside on the positive note there is there's more resources than ever to is there's more resources than ever to is there's more resources than ever to get educated about technology and how it get educated about technology and how it get educated about technology and how it can solve problems and you can see you can solve problems and you can see you can solve problems and you can see you go online you can get educated so people go online you can get educated so people go online you can get educated so people that are motivated to get educated and that are motivated to get educated and that are motivated to get educated and that's kind of what we're trying to do that's kind of what we're trying to do that's kind of what we're trying to do is just educate everybody and kind of is just educate everybody and kind of is just educate everybody and kind of foundational there's also like and I foundational there's also like and I foundational there's also like and I think people recognize especially in the think people recognize especially in the think people recognize especially in the edge and IoT space it's really a team edge and IoT space it's really a team edge and IoT space it's really a team sport and kind of assembling the right sport and kind of assembling the right sport and kind of assembling the right team getting on the right team is really team getting on the right team is really team getting on the right team is really critical whether you're a startup or critical whether you're a startup or critical whether you're a startup or fortune in 100 and part of that is fortune in 100 and part of that is fortune in 100 and part of that is finding solution providers, system finding solution providers, system finding solution providers, system integrators that kind of you know you

integrators that kind of you know you integrators that kind of you know you can leverage their knowledge especially can leverage their knowledge especially can leverage their knowledge especially as things get more and more complicated. as things get more and more complicated. as things get more and more complicated. So I feel like people like the the arc So I feel like people like the the arc So I feel like people like the the arc is bending toward you knowledge and is bending toward you knowledge and is bending toward you knowledge and education over time and those who don't education over time and those who don't education over time and those who don't do that unfortunately will will kind of do that unfortunately will will kind of do that unfortunately will will kind of lose in the competitive marketplace. But lose in the competitive marketplace. But lose in the competitive marketplace. But I'm I'm fascinated by your optimism I'm I'm fascinated by your optimism I'm I'm fascinated by your optimism Pete. I I I hope it is true but uh but Pete. I I I hope it is true but uh but Pete. I I I hope it is true but uh but at the end of the day you have to look at the end of the day you have to look at the end of the day you have to look at people's motivation. I mean you have at people's motivation. I mean you have at people's motivation. I mean you have to look at people motivation and this is to look at people motivation and this is to look at people motivation and this is this is why I was going back to we were this is why I was going back to we were this is why I was going back to we were going back to you know the the quest for going back to you know the the quest for going back to you know the the quest for the moon the motivation in going to the the moon the motivation in going to the the moon the motivation in going to the moon was about you know values a certain moon was about you know values a certain moon was about you know values a certain idea of the system it was not about idea of the system it was not about idea of the system it was not about making money most of people motivation making money most of people motivation making money most of people motivation is making money and they will try to is making money and they will try to is making money and they will try to take stupid decision or shortcuts to get take stupid decision or shortcuts to get take stupid decision or shortcuts to get money faster so money faster so money faster so as as as long I think I think all of that I think long I think I think all of that I think long I think I think all of that I think all of that is why I'm saying in a world all of that is why I'm saying in a world all of that is why I'm saying in a world that when this is not going to change, that when this is not going to change, that when this is not going to change, you still going to have hype cycle and you still going to have hype cycle and you still going to have hype cycle and this is the way it works. You get but this is the way it works. You get but this is the way it works. You get but but people that win in the comp in the but people that win in the comp in the but people that win in the comp in the competitive marketplace are the ones competitive marketplace are the ones competitive marketplace are the ones that gain the knowledge, get on the that gain the knowledge, get on the that gain the knowledge, get on the right team, have the right partnerships, right team, have the right partnerships, right team, have the right partnerships, you know, I would actually it would very you know, I would actually it would very you know, I would actually it would very interesting area of research because you interesting area of research because you interesting area of research because you have a lot of people that have a lot of people that have a lot of people that opportunistically make money in the hype opportunistically make money in the hype opportunistically make money in the hype cycle. Sure. And if you comp by the ones cycle. Sure. And if you comp by the ones cycle. Sure. And if you comp by the ones that again we had that we had pet rocks that again we had that we had pet rocks that again we had that we had pet rocks in the 70s too. Every so often like in the 70s too. Every so often like in the 70s too. Every so often like someone's going to just do something someone's going to just do something someone's going to just do something make a bunch of money off it and then make a bunch of money off it and then make a bunch of money off it and then disappear and you know disappear and you know disappear and you know monetization cable farts man that's like

monetization cable farts man that's like monetization cable farts man that's like a perennial like money making a perennial like money making a perennial like money making opportunity. opportunity. opportunity. I think the big problem though, um, you I think the big problem though, um, you I think the big problem though, um, you know, I do like your pet rock example, know, I do like your pet rock example, know, I do like your pet rock example, but you know, there's a lot of money but you know, there's a lot of money but you know, there's a lot of money being sunk, you know, a cap X here, being sunk, you know, a cap X here, being sunk, you know, a cap X here, right? And so some of these people, right? And so some of these people, right? And so some of these people, they're going to be stuck with stuff they're going to be stuck with stuff they're going to be stuck with stuff that they can't use because they may not that they can't use because they may not that they can't use because they may not know how to do what they, you know, know how to do what they, you know, know how to do what they, you know, they, first of all, they may not be able they, first of all, they may not be able they, first of all, they may not be able to to do anything that will cover their to to do anything that will cover their to to do anything that will cover their cost or help them make money back, cost or help them make money back, cost or help them make money back, right? And so you're so I've seen a lot right? And so you're so I've seen a lot right? And so you're so I've seen a lot of companies go out of business because of companies go out of business because of companies go out of business because they have this they have these you know they have this they have these you know they have this they have these you know they spent all this money and they can't they spent all this money and they can't they spent all this money and they can't really turn it around and make it into really turn it around and make it into really turn it around and make it into revenue. Exactly. And that's that's the revenue. Exactly. And that's that's the revenue. Exactly. And that's that's the that's the fault of how you're selling that's the fault of how you're selling that's the fault of how you're selling as well because today and what I see as well because today and what I see as well because today and what I see everyone wants to go in and they want to everyone wants to go in and they want to everyone wants to go in and they want to talk about the tech. I don't at all. I talk about the tech. I don't at all. I talk about the tech. I don't at all. I don't want to talk about the tech. I don't want to talk about the tech. I don't want to talk about the tech. I want to talk about um I know what your want to talk about um I know what your want to talk about um I know what your problem is and here are the numbers that problem is and here are the numbers that problem is and here are the numbers that back it up and here's how we would back it up and here's how we would back it up and here's how we would approach solving that problem. Now, approach solving that problem. Now, approach solving that problem. Now, invariably, there's going to be somebody invariably, there's going to be somebody invariably, there's going to be somebody that wants to go and, you know, explain that wants to go and, you know, explain that wants to go and, you know, explain to me how you're doing this and from a to me how you're doing this and from a to me how you're doing this and from a system integration perspective, how system integration perspective, how system integration perspective, how you're going to tie into my existing you're going to tie into my existing you're going to tie into my existing stuff and give me all these, you know, stuff and give me all these, you know, stuff and give me all these, you know, great uh optimizations on on operations.

great uh optimizations on on operations. great uh optimizations on on operations. And that's a conversation that's worth And that's a conversation that's worth And that's a conversation that's worth having. But there's also, this is why having. But there's also, this is why having. But there's also, this is why there's so many opportunities in there's so many opportunities in there's so many opportunities in brownfield deployments and there always brownfield deployments and there always brownfield deployments and there always will be because people they've already will be because people they've already will be because people they've already bought it. They already bought the bought it. They already bought the bought it. They already bought the cameras. They already bought the cameras. They already bought the cameras. They already bought the equipment. They've depreciated it. It's equipment. They've depreciated it. It's equipment. They've depreciated it. It's running. Now I want to I want to add running. Now I want to I want to add running. Now I want to I want to add functionality to it. And that's like 80 functionality to it. And that's like 80 functionality to it. And that's like 80 90% of the deployments out there. You 90% of the deployments out there. You 90% of the deployments out there. You never never get someone who's like, I'm never never get someone who's like, I'm never never get someone who's like, I'm just going to scrap all this and start just going to scrap all this and start just going to scrap all this and start over again. Like nobody does that. So over again. Like nobody does that. So over again. Like nobody does that. So yeah, the world. yeah, the world. yeah, the world. Yeah. Totally agree with you. Boom. Yeah. Totally agree with you. Boom. Yeah. Totally agree with you. Boom. That's 100% what we go after. We go That's 100% what we go after. We go That's 100% what we go after. We go after Brownfield. I mean, after Brownfield. I mean, after Brownfield. I mean, it's it's worth it. It is 100% worth it. it's it's worth it. It is 100% worth it. it's it's worth it. It is 100% worth it. I mean, that's You want to You want the I mean, that's You want to You want the I mean, that's You want to You want the fast track to money? Go fix the fast track to money? Go fix the fast track to money? Go fix the brownfield problem. Yeah. Totally. Yeah. brownfield problem. Yeah. Totally. Yeah. brownfield problem. Yeah. Totally. Yeah. That's the ugly stuff. That's the ugly That's the ugly stuff. That's the ugly That's the ugly stuff. That's the ugly stuff. That's why. Yeah. It's It's stuff. That's why. Yeah. It's It's stuff. That's why. Yeah. It's It's actually fun doing that kind of work, actually fun doing that kind of work, actually fun doing that kind of work, too, right? Um it's it's interesting to too, right? Um it's it's interesting to too, right? Um it's it's interesting to solve all the different spaghetti messes solve all the different spaghetti messes solve all the different spaghetti messes that are out there. But um Well, you that are out there. But um Well, you that are out there. But um Well, you want to learn, do that. No, that's what want to learn, do that. No, that's what want to learn, do that. No, that's what I'm saying. I mean, you know, I I I'm saying. I mean, you know, I I I'm saying. I mean, you know, I I learned so much back in the day when I learned so much back in the day when I learned so much back in the day when I was doing, you know, uh systems was doing, you know, uh systems was doing, you know, uh systems integration work um across like entire integration work um across like entire integration work um across like entire mobile portfolios.

mobile portfolios. mobile portfolios. Um you learn everything. Data Yeah. I Um you learn everything. Data Yeah. I Um you learn everything. Data Yeah. I mean, data structures and and and data mean, data structures and and and data mean, data structures and and and data flows teach you everything. It it flows teach you everything. It it flows teach you everything. It it teaches the anatomy of industries, it's teaches the anatomy of industries, it's teaches the anatomy of industries, it's it's it's awesome. Well, you think about it's it's awesome. Well, you think about it's it's awesome. Well, you think about like I've seen also like a lot of the like I've seen also like a lot of the like I've seen also like a lot of the industrial robots that are out there, industrial robots that are out there, industrial robots that are out there, like the cuckas and things like that, like the cuckas and things like that, like the cuckas and things like that, like you you don't want to crack those like you you don't want to crack those like you you don't want to crack those things open. So, they're they have things open. So, they're they have things open. So, they're they have they're they're engineering like they're they're engineering like they're they're engineering like outboard AI like outboard AI systems to outboard AI like outboard AI systems to outboard AI like outboard AI systems to like enhance the existing industrial like enhance the existing industrial like enhance the existing industrial robots out there because they're not robots out there because they're not robots out there because they're not going to buy a new robot. So, it's like going to buy a new robot. So, it's like going to buy a new robot. So, it's like you're going to see like that's kind of you're going to see like that's kind of you're going to see like that's kind of the hot thing right now is like how do I the hot thing right now is like how do I the hot thing right now is like how do I outboard my AI to my existing equipment outboard my AI to my existing equipment outboard my AI to my existing equipment augmentation kind of like how we augmentation kind of like how we augmentation kind of like how we outboarded just machines with vibration outboarded just machines with vibration outboarded just machines with vibration sensors for IoT to determine if it's sensors for IoT to determine if it's sensors for IoT to determine if it's about to croak. We You're not going to about to croak. We You're not going to about to croak. We You're not going to crack it open. It's brownfield. How do I crack it open. It's brownfield. How do I crack it open. It's brownfield. How do I externally do stuff? You know, right? externally do stuff? You know, right? externally do stuff? You know, right? Control it and measure it. Yeah. Yeah. Control it and measure it. Yeah. Yeah. Control it and measure it. Yeah. Yeah. Yeah. Yeah. All right. Oh my gosh. Yeah. Yeah. Yeah. All right. Oh my gosh. Yeah. Yeah. Yeah. All right. Oh my gosh. Yeah. So, uh who wants to take us out? I think So, uh who wants to take us out? I think So, uh who wants to take us out? I think it's about that time.

it's about that time. it's about that time. Tiffany, I think it's your thing. Jump Tiffany, I think it's your thing. Jump Tiffany, I think it's your thing. Jump in. Oh. All right. All right. All in. Oh. All right. All right. All in. Oh. All right. All right. All right. We're going to take I wish I had right. We're going to take I wish I had right. We're going to take I wish I had the hat that Leonard had on. the hat that Leonard had on. the hat that Leonard had on. You need a hat. I'll try to. Yeah. Put You need a hat. I'll try to. Yeah. Put You need a hat. I'll try to. Yeah. Put on the hood. All right. Here we go. Get on the hood. All right. Here we go. Get on the hood. All right. Here we go. Get the hoods up. You know, we're in the the hoods up. You know, we're in the the hoods up. You know, we're in the hood. Thanks so much for joining us on hood. Thanks so much for joining us on hood. Thanks so much for joining us on IoT Coffee Talk. My microphone is IoT Coffee Talk. My microphone is IoT Coffee Talk. My microphone is working. I think Dmitri kind of looks working. I think Dmitri kind of looks working. I think Dmitri kind of looks like one of his uh Kenny's. like one of his uh Kenny's. like one of his uh Kenny's. Exactly. I'm trying to I'm trying to, Exactly. I'm trying to I'm trying to, Exactly. I'm trying to I'm trying to, you know, at the end of every IoT Coffee you know, at the end of every IoT Coffee you know, at the end of every IoT Coffee Talk episode, Dimmitri dies. Talk episode, Dimmitri dies. Talk episode, Dimmitri dies. Every everyone at the end of every Every everyone at the end of every Every everyone at the end of every episode, he dies. Demetri because what episode, he dies. Demetri because what episode, he dies. Demetri because what you're looking at is one of my digital you're looking at is one of my digital you're looking at is one of my digital twins. Oh, twins. Oh, twins. Oh, okay. Excellent. Application. Yeah. Oh okay. Excellent. Application. Yeah. Oh okay. Excellent. Application. Yeah. Oh my gosh. I do like the tassels in front my gosh. I do like the tassels in front my gosh. I do like the tassels in front on Leonard. I think that's a much better on Leonard. I think that's a much better on Leonard. I think that's a much better look. It's a good look. look. It's a good look. look. It's a good look. Yeah, that's beautiful. Very uh Yeah, Yeah, that's beautiful. Very uh Yeah, Yeah, that's beautiful. Very uh Yeah, Nora. Very Nora Desmond of you, I think.

Nora. Very Nora Desmond of you, I think. Nora. Very Nora Desmond of you, I think. Yeah, I'm sure a lot of our listeners Yeah, I'm sure a lot of our listeners Yeah, I'm sure a lot of our listeners are going to get that reference. Oh my gosh. Thanks so much for joining Oh my gosh. Thanks so much for joining us. There's a lot of silliness, but a us. There's a lot of silliness, but a us. There's a lot of silliness, but a lot of really good nuggets of info here. lot of really good nuggets of info here. lot of really good nuggets of info here. Make sure you run towards the brownfield Make sure you run towards the brownfield Make sure you run towards the brownfield if you want to succeed in this stuff. if you want to succeed in this stuff. if you want to succeed in this stuff. Don't be afraid of the brownfield. So Don't be afraid of the brownfield. So Don't be afraid of the brownfield. So many of you young whippers snappers many of you young whippers snappers many of you young whippers snappers think we're going to solve the world's think we're going to solve the world's think we're going to solve the world's problems with green field raspberry pies problems with green field raspberry pies problems with green field raspberry pies and it turns out it didn't happen. So and it turns out it didn't happen. So and it turns out it didn't happen. So run towards the brown field. Listen to run towards the brown field. Listen to run towards the brown field. Listen to Bill. It's not always some digital 3D Bill. It's not always some digital 3D Bill. It's not always some digital 3D thing. It could be about operational thing. It could be about operational thing. It could be about operational data for those digital twins as it turns data for those digital twins as it turns data for those digital twins as it turns out. You know that stream of data coming out. You know that stream of data coming out. You know that stream of data coming in. So operational in. So operational in. So operational brownfield. Debbie is not Jeffrey brownfield. Debbie is not Jeffrey brownfield. Debbie is not Jeffrey Goldberg. She does speak up and so Goldberg. She does speak up and so Goldberg. She does speak up and so that's a good thing. She we know she's that's a good thing. She we know she's that's a good thing. She we know she's here. She's not lurking. She's not going here. She's not lurking. She's not going here. She's not lurking. She's not going to report on us later in an article or to report on us later in an article or to report on us later in an article or anything like that which is good. Um anything like that which is good. Um anything like that which is good. Um celebrate our youth. We're trying to celebrate our youth. We're trying to celebrate our youth. We're trying to learn them some information, aren't we?

learn them some information, aren't we? learn them some information, aren't we? And so we're going to elevate our kids. And so we're going to elevate our kids. And so we're going to elevate our kids. Get them some laptops. Get them some Get them some laptops. Get them some Get them some laptops. Get them some connectivity. Get some education. connectivity. Get some education. connectivity. Get some education. You know, he was talking earlier about You know, he was talking earlier about You know, he was talking earlier about how the arc is bending towards education how the arc is bending towards education how the arc is bending towards education or something like that. And so that's or something like that. And so that's or something like that. And so that's good. That's what we're trying to do. We good. That's what we're trying to do. We good. That's what we're trying to do. We are bending. We are bending the ark are bending. We are bending the ark are bending. We are bending the ark ourselves on this show. It may not bend ourselves on this show. It may not bend ourselves on this show. It may not bend without us. Um, isn't it that way? We're without us. Um, isn't it that way? We're without us. Um, isn't it that way? We're trying to go like logarithmic. Yeah. trying to go like logarithmic. Yeah. trying to go like logarithmic. Yeah. Bend it the other way. Something, you Bend it the other way. Something, you Bend it the other way. Something, you know, is that right and to the left and know, is that right and to the left and know, is that right and to the left and to the corner to the leaders. We are to the corner to the leaders. We are to the corner to the leaders. We are taking you to the leaders. right here. taking you to the leaders. right here. taking you to the leaders. right here. Exactly. We are so delighted that you Exactly. We are so delighted that you Exactly. We are so delighted that you joined us and we will see you next week. joined us and we will see you next week. joined us and we will see you next week. Same bat time, same bat channel. And Same bat time, same bat channel. And Same bat time, same bat channel. And we're out.