IoT Coffee Talk: Episode 303 - Rick was Wrong! (IoT is more than 20 Episodes!)

right, let's right, let's All right, welcome everybody to Coffee All right, welcome everybody to Coffee All right, welcome everybody to Coffee Talk. I don't have a guitar. David, do Talk. I don't have a guitar. David, do Talk. I don't have a guitar. David, do you have a guitar to start off? you have a guitar to start off? you have a guitar to start off? Absolutely not. Absolutely not. Absolutely not. >> No, I know. That's always a shame. You >> No, I know. That's always a shame. You >> No, I know. That's always a shame. You know, you know, it's funny. You know, know, you know, it's funny. You know, know, you know, it's funny. You know, when we started this, it was just, you when we started this, it was just, you when we started this, it was just, you know, we just start talking and, you know, we just start talking and, you know, we just start talking and, you know, I remember Rick Pada thought, you know, I remember Rick Pada thought, you know, I remember Rick Pada thought, you know, we only had about 20 episodes know, we only had about 20 episodes know, we only had about 20 episodes worth of content. Uh, and then it's worth of content. Uh, and then it's worth of content. Uh, and then it's like, all right, we're done. There's like, all right, we're done. There's like, all right, we're done. There's nothing new to talk about IoT. Um, and nothing new to talk about IoT. Um, and nothing new to talk about IoT. Um, and somehow we kept showing up. You know, I somehow we kept showing up. You know, I somehow we kept showing up. You know, I think we're the poster child for the think we're the poster child for the think we're the poster child for the value of just showing up. value of just showing up. value of just showing up. >> There you go. consistency, discipline, >> There you go. consistency, discipline, >> There you go. consistency, discipline, never give up. never give up. never give up. >> Absolutely. Absolutely. But yes, then >> Absolutely. Absolutely. But yes, then >> Absolutely. Absolutely. But yes, then over time, you know, literally just over time, you know, literally just over time, you know, literally just started breaking out his guitar. Uh and started breaking out his guitar. Uh and started breaking out his guitar. Uh and so we had lots of uh you know, rocking so we had lots of uh you know, rocking so we had lots of uh you know, rocking out. Oh, let's see here. I'm going to out. Oh, let's see here. I'm going to out. Oh, let's see here. I'm going to hit the admit. We got Stephanie. hit the admit. We got Stephanie. hit the admit. We got Stephanie. Hey. Hey. Hey. Hey. Hey. Hey. >> Hi there. >> Hi there. >> Hi there. >> How's it going? >> How's it going? >> How's it going? >> Good. How about you guys?

>> Good. How about you guys? >> Good. How about you guys? >> Straight out of Bandaraa. >> Straight out of Bandaraa. >> Straight out of Bandaraa. >> Yes. >> Yes. >> Yes. Yeah, Yeah, Yeah, >> the countryhood. >> the countryhood. >> the countryhood. >> Exactly. Exactly. Oh, good. Hang on. Let >> Exactly. Exactly. Oh, good. Hang on. Let >> Exactly. Exactly. Oh, good. Hang on. Let me let Pete in here. This is good. You me let Pete in here. This is good. You me let Pete in here. This is good. You know, this is better than I expected. know, this is better than I expected. know, this is better than I expected. You know, when I have to do the last You know, when I have to do the last You know, when I have to do the last minute, Rob's going to send you an minute, Rob's going to send you an minute, Rob's going to send you an invitation. invitation. invitation. >> Is that what happened? Like the one that >> Is that what happened? Like the one that >> Is that what happened? Like the one that we have like in our calendar, the one we have like in our calendar, the one we have like in our calendar, the one that you texted is completely different, that you texted is completely different, that you texted is completely different, right? right? right? >> It's just this one time. Yeah. Oh, >> It's just this one time. Yeah. Oh, >> It's just this one time. Yeah. Oh, >> okay. Because I got into that one while >> okay. Because I got into that one while >> okay. Because I got into that one while ago. ago. ago. >> Yeah. Leonard Leonard's like, "Hey, I'm >> Yeah. Leonard Leonard's like, "Hey, I'm >> Yeah. Leonard Leonard's like, "Hey, I'm on a plane flying back from Barca, so it on a plane flying back from Barca, so it on a plane flying back from Barca, so it might be well, you know, but these days, might be well, you know, but these days, might be well, you know, but these days, >> you know, you should I mean, are we do >> you know, you should I mean, are we do >> you know, you should I mean, are we do we not have Starlink going from we not have Starlink going from we not have Starlink going from airplanes now for some of them? airplanes now for some of them? airplanes now for some of them? >> Free Delta Wi-Fi or something?" >> Free Delta Wi-Fi or something?" >> Free Delta Wi-Fi or something?" >> But have you been read Have you been >> But have you been read Have you been >> But have you been read Have you been reading how horrible the Southwest reading how horrible the Southwest reading how horrible the Southwest Airlines experiences are for everyone Airlines experiences are for everyone Airlines experiences are for everyone right now since they changed? right now since they changed? right now since they changed? >> No. >> No. >> No. >> Like, get on TikTok and read how >> Like, get on TikTok and read how >> Like, get on TikTok and read how horrible it is. horrible it is. horrible it is. >> Really? I mean, like, it makes me not >> Really? I mean, like, it makes me not >> Really? I mean, like, it makes me not want to ever fly Southwest Airlines ever want to ever fly Southwest Airlines ever want to ever fly Southwest Airlines ever again. That bad.

again. That bad. again. That bad. >> Oh. Oh, that's what it took. >> Oh. Oh, that's what it took. >> Oh. Oh, that's what it took. >> It used to be beautiful within Texas. >> It used to be beautiful within Texas. >> It used to be beautiful within Texas. You know, if you're going from San You know, if you're going from San You know, if you're going from San Antonio to Dallas, Dallas to Houston. Antonio to Dallas, Dallas to Houston. Antonio to Dallas, Dallas to Houston. >> That's right. >> That's right. >> That's right. >> That's true. Y >> That's true. Y >> That's true. Y >> Yeah. You know, Stephanie, maybe you >> Yeah. You know, Stephanie, maybe you >> Yeah. You know, Stephanie, maybe you could give us the OG story of Southwest could give us the OG story of Southwest could give us the OG story of Southwest Airlines. Wasn't it just a triangle on a Airlines. Wasn't it just a triangle on a Airlines. Wasn't it just a triangle on a drink napkin? Something like that? drink napkin? Something like that? drink napkin? Something like that? >> Yes. >> Yes. >> Yes. >> I don't know. I don't know the origins. >> I don't know. I don't know the origins. >> I don't know. I don't know the origins. I have no idea. Yeah, I just know it's a I have no idea. Yeah, I just know it's a I have no idea. Yeah, I just know it's a Dallas Dallas love is like Dallas Dallas love is like Dallas Dallas love is like >> did it come Did it come out of a Texas >> did it come Did it come out of a Texas >> did it come Did it come out of a Texas International or you know because there International or you know because there International or you know because there was other airlines in the past you know was other airlines in the past you know was other airlines in the past you know obviously we used to have all kinds of obviously we used to have all kinds of obviously we used to have all kinds of cool like Braniff and Eastern and you cool like Braniff and Eastern and you cool like Braniff and Eastern and you know all that kind of stuff know all that kind of stuff know all that kind of stuff >> comes to mind >> comes to mind >> comes to mind >> right yeah there's like a Branf drive >> right yeah there's like a Branf drive >> right yeah there's like a Branf drive right near DFW airport um absolutely but right near DFW airport um absolutely but right near DFW airport um absolutely but yeah you know uh that that story what yeah you know uh that that story what yeah you know uh that that story what was it is it Herb Keller whatever that's was it is it Herb Keller whatever that's was it is it Herb Keller whatever that's the guy who started Southwest and like the guy who started Southwest and like the guy who started Southwest and like all good startups, it's it's on a drink all good startups, it's it's on a drink all good startups, it's it's on a drink napkin and he just drew and he just drew napkin and he just drew and he just drew napkin and he just drew and he just drew a triangle. Houston, Dallas, San a triangle. Houston, Dallas, San a triangle. Houston, Dallas, San Antonio, and it's like we're going to Antonio, and it's like we're going to Antonio, and it's like we're going to build an airline that just does this, build an airline that just does this, build an airline that just does this, you know, and uh we'll be the lowfair you know, and uh we'll be the lowfair you know, and uh we'll be the lowfair airline and flight attendants can be airline and flight attendants can be airline and flight attendants can be funny funny funny >> and silly, right? I remember that, you >> and silly, right? I remember that, you >> and silly, right? I remember that, you know, and I guess they were also known know, and I guess they were also known know, and I guess they were also known for be able to get in and out of an for be able to get in and out of an for be able to get in and out of an airport faster than anybody. So, airport faster than anybody. So, airport faster than anybody. So, >> and then they focused on all the >> and then they focused on all the >> and then they focused on all the regional airports like regional airports like regional airports like >> That's right.

>> That's right. >> That's right. >> That's right. >> That's right. >> That's right. >> They don't have a h, right? They don't >> They don't have a h, right? They don't >> They don't have a h, right? They don't have a hub. That's the whole the whole have a hub. That's the whole the whole have a hub. That's the whole the whole thing. thing. thing. >> But Stephanie, you have rest assured >> But Stephanie, you have rest assured >> But Stephanie, you have rest assured that the changes you're experiencing at that the changes you're experiencing at that the changes you're experiencing at Southwest are for two reasons. Number Southwest are for two reasons. Number Southwest are for two reasons. Number one, to improve the end customer one, to improve the end customer one, to improve the end customer experience, and number two, to maximize experience, and number two, to maximize experience, and number two, to maximize shareholder value. shareholder value. shareholder value. >> Yeah. because our customers were telling >> Yeah. because our customers were telling >> Yeah. because our customers were telling us, "I want you to be just like all the us, "I want you to be just like all the us, "I want you to be just like all the other airlines. Please, other airlines. Please, other airlines. Please, >> I no longer want free bags. Please >> I no longer want free bags. Please >> I no longer want free bags. Please charge me for I have the money. Take my charge me for I have the money. Take my charge me for I have the money. Take my money." money." money." >> And number two, you know, that whole >> And number two, you know, that whole >> And number two, you know, that whole thing, I really want to pick my seat thing, I really want to pick my seat thing, I really want to pick my seat >> the way everybody else is doing it. >> the way everybody else is doing it. >> the way everybody else is doing it. Let's do that. Let's do that. Let's do that. >> Yeah. >> Yeah. >> Yeah. >> Much for the cattle car in the sky, you >> Much for the cattle car in the sky, you >> Much for the cattle car in the sky, you know? You know, know? You know, know? You know, >> like, well, let's please take away >> like, well, let's please take away >> like, well, let's please take away everything that differentiates my everything that differentiates my everything that differentiates my airline and just be done with those airline and just be done with those airline and just be done with those things. things. things. >> Exactly. >> Exactly. >> Exactly. >> Like, but like parents are being >> Like, but like parents are being >> Like, but like parents are being separated from 2-year-olds and they're separated from 2-year-olds and they're separated from 2-year-olds and they're not allowing like they're making them by not allowing like they're making them by not allowing like they're making them by that seat. It's sitting there open that seat. It's sitting there open that seat. It's sitting there open might be that might be a feature, not a might be that might be a feature, not a might be that might be a feature, not a >> feature and not a bug. Okay. The reason >> feature and not a bug. Okay. The reason >> feature and not a bug. Okay. The reason I fly Southwest is because I don't want I fly Southwest is because I don't want I fly Southwest is because I don't want to be next to my children or my family to be next to my children or my family to be next to my children or my family or my friends or my loved ones. I'll see or my friends or my loved ones. I'll see or my friends or my loved ones. I'll see you at the airport and I'll see your you at the airport and I'll see your you at the airport and I'll see your baggage card.

baggage card. baggage card. >> David, you were like riding their >> David, you were like riding their >> David, you were like riding their marketing messaging. Let's go. marketing messaging. Let's go. marketing messaging. Let's go. >> Soon there'll be a card swipe on the >> Soon there'll be a card swipe on the >> Soon there'll be a card swipe on the restrooms though. I mean, it's just restrooms though. I mean, it's just restrooms though. I mean, it's just getting nickel and done. getting nickel and done. getting nickel and done. >> Oh my god. >> Oh my god. >> Oh my god. >> Yes. >> Yes. >> Yes. >> Wait a minute, Steve. I see you have >> Wait a minute, Steve. I see you have >> Wait a minute, Steve. I see you have what? A guitar in the background. Maybe what? A guitar in the background. Maybe what? A guitar in the background. Maybe you could fill in for Leonard's music. you could fill in for Leonard's music. you could fill in for Leonard's music. >> Fill in for Leonard and play guitar. >> Fill in for Leonard and play guitar. >> Fill in for Leonard and play guitar. >> We usually have an intro, >> We usually have an intro, >> We usually have an intro, >> you know, just something, you know, give >> you know, just something, you know, give >> you know, just something, you know, give us your best Eddie Van Halen or us your best Eddie Van Halen or us your best Eddie Van Halen or something. If because if you don't do something. If because if you don't do something. If because if you don't do it, Pete's gonna do it because Pete is it, Pete's gonna do it because Pete is it, Pete's gonna do it because Pete is legit. legit. legit. >> Pete should do it. >> Pete should do it. >> Pete should do it. >> Very well set up right now. So, >> Very well set up right now. So, >> Very well set up right now. So, >> yeah. You know, the bummer audio thing I >> yeah. You know, the bummer audio thing I >> yeah. You know, the bummer audio thing I need to be prepped for. need to be prepped for. need to be prepped for. >> Yeah. Yeah. >> Yeah. Yeah. >> Yeah. Yeah. >> Rob, you can do a an air guitar. You >> Rob, you can do a an air guitar. You >> Rob, you can do a an air guitar. You know, know, know, >> air guitar. >> air guitar. >> air guitar. >> Place it in post. Put it in in post. >> Place it in post. Put it in in post. >> Place it in post. Put it in in post. Rob, Rob, Rob, >> we'll put it in in post. That's what >> we'll put it in in post. That's what >> we'll put it in in post. That's what that's that's what the show is all about that's that's what the show is all about that's that's what the show is all about is we'll screw it up during a live deal. is we'll screw it up during a live deal. is we'll screw it up during a live deal. >> Magic happens. >> Magic happens. >> Magic happens. >> Exactly. And you know what, Pete? I I >> Exactly. And you know what, Pete? I I >> Exactly. And you know what, Pete? I I know you got new gear, but I really feel know you got new gear, but I really feel know you got new gear, but I really feel like the gain on your microphone is like the gain on your microphone is like the gain on your microphone is still quiet. still quiet. still quiet. >> Should I go up a little bit? I can go up >> Should I go up a little bit? I can go up >> Should I go up a little bit? I can go up like this. How's that? Is that better? like this. How's that? Is that better? like this. How's that? Is that better? >> Yeah, that's perfect. That's perfect.

>> Yeah, that's perfect. That's perfect. >> Yeah, that's perfect. That's perfect. >> Yes. So, all you guys who probably don't >> Yes. So, all you guys who probably don't >> Yes. So, all you guys who probably don't know Ian, you can introduce yourself. know Ian, you can introduce yourself. know Ian, you can introduce yourself. He's a buddy of mine. We hang out at the He's a buddy of mine. We hang out at the He's a buddy of mine. We hang out at the ION, which is a startup hangout here in ION, which is a startup hangout here in ION, which is a startup hangout here in Houston. Uh Ian is a Mr. Tell us about Houston. Uh Ian is a Mr. Tell us about Houston. Uh Ian is a Mr. Tell us about tech and what you do in upstream oil and tech and what you do in upstream oil and tech and what you do in upstream oil and gas. gas. gas. >> Thanks, Rob. Hi, guys. I um yeah I'm I'm >> Thanks, Rob. Hi, guys. I um yeah I'm I'm >> Thanks, Rob. Hi, guys. I um yeah I'm I'm a former electrical engineer, software a former electrical engineer, software a former electrical engineer, software engineer. Uh oil and gas, you know, 20 engineer. Uh oil and gas, you know, 20 engineer. Uh oil and gas, you know, 20 of my 30-year career. Uh IoT um is kind of my 30-year career. Uh IoT um is kind of my 30-year career. Uh IoT um is kind of like, you know, the original control of like, you know, the original control of like, you know, the original control systems that we used to do back in the systems that we used to do back in the systems that we used to do back in the 90s, you know, so um that acquisition 90s, you know, so um that acquisition 90s, you know, so um that acquisition system. So yeah, my background is hard. system. So yeah, my background is hard. system. So yeah, my background is hard. Um and in the la you know last few years Um and in the la you know last few years Um and in the la you know last few years we've been doing a lot of work with uh we've been doing a lot of work with uh we've been doing a lot of work with uh companies that are trying to move that companies that are trying to move that companies that are trying to move that into more mainstream and just connecting into more mainstream and just connecting into more mainstream and just connecting to the big enterprise software systems. to the big enterprise software systems. to the big enterprise software systems. Uh I share some a little overlap with Uh I share some a little overlap with Uh I share some a little overlap with Leonard you know uh we we work together Leonard you know uh we we work together Leonard you know uh we we work together IBM and he he used to keep me sane and IBM and he he used to keep me sane and IBM and he he used to keep me sane and tame and so when I was younger tame and so when I was younger tame and so when I was younger >> nice >> nice >> nice >> so yeah >> so yeah >> so yeah >> there's a real connection there. Leonard >> there's a real connection there. Leonard >> there's a real connection there. Leonard is like, "Oh my god." YOU KNOW, IAN, OH, is like, "Oh my god." YOU KNOW, IAN, OH, is like, "Oh my god." YOU KNOW, IAN, OH, they work together. Yes.

they work together. Yes. they work together. Yes. >> Small world we live in. >> Small world we live in. >> Small world we live in. >> It is a small world. >> It is a small world. >> It is a small world. >> Especially when David can meet up with >> Especially when David can meet up with >> Especially when David can meet up with the who did you meet up with recently? the who did you meet up with recently? the who did you meet up with recently? >> Wait for it. With our favorite internet >> Wait for it. With our favorite internet >> Wait for it. With our favorite internet troll, Rick Bulada. troll, Rick Bulada. troll, Rick Bulada. >> Wow. >> Wow. >> Wow. >> I could not believe that. I was like, >> I could not believe that. I was like, >> I could not believe that. I was like, "Wow, he actually made "Wow, he actually made "Wow, he actually made >> Yes. In real life, we compared uh hair >> Yes. In real life, we compared uh hair >> Yes. In real life, we compared uh hair notes and uh No, notes and uh No, notes and uh No, >> not >> not >> not >> where did you see each other? Where were >> where did you see each other? Where were >> where did you see each other? Where were Where were you? Where were you? Where were you? >> Uh just uh down the street in Geneva. In >> Uh just uh down the street in Geneva. In >> Uh just uh down the street in Geneva. In >> randomly. >> randomly. >> randomly. >> Was he was he headed somewhere to go >> Was he was he headed somewhere to go >> Was he was he headed somewhere to go skiing? skiing? skiing? >> Uh he's having a good time in the >> Uh he's having a good time in the >> Uh he's having a good time in the mountains, I hope. mountains, I hope. mountains, I hope. >> Oh, that's good. >> Oh, that's good. >> Oh, that's good. >> No, it was it was cool. You know, this >> No, it was it was cool. You know, this >> No, it was it was cool. You know, this is I mean, jokes aside, it's this is uh is I mean, jokes aside, it's this is uh is I mean, jokes aside, it's this is uh we've been doing this for so long that we've been doing this for so long that we've been doing this for so long that we forget how communities used to happen we forget how communities used to happen we forget how communities used to happen when we started this, right? We started when we started this, right? We started when we started this, right? We started this out of out of co out of a necessity this out of out of co out of a necessity this out of out of co out of a necessity that we used to get together, we that we used to get together, we that we used to get together, we couldn't get together. We use a tool to couldn't get together. We use a tool to couldn't get together. We use a tool to get together and and this has come now get together and and this has come now get together and and this has come now full circle because I literally just met full circle because I literally just met full circle because I literally just met someone who I've been talking to for 300 someone who I've been talking to for 300 someone who I've been talking to for 300 and some odd episodes.

and some odd episodes. and some odd episodes. >> Wow. Right. And so it was uh No, no, it >> Wow. Right. And so it was uh No, no, it >> Wow. Right. And so it was uh No, no, it was uh absolutely cool. But I was going was uh absolutely cool. But I was going was uh absolutely cool. But I was going to ask Ian is probably one of the only to ask Ian is probably one of the only to ask Ian is probably one of the only few people that can spell ska and coal. few people that can spell ska and coal. few people that can spell ska and coal. >> There you go. Actually, I program them >> There you go. Actually, I program them >> There you go. Actually, I program them both by the way. Long time ago. Yeah. both by the way. Long time ago. Yeah. both by the way. Long time ago. Yeah. Yeah. >> Oh, so >> Oh, so >> that's good to hear. >> that's good to hear. >> that's good to hear. >> What is Tell us what your company does, >> What is Tell us what your company does, >> What is Tell us what your company does, Timber Grove. What's that all about? Timber Grove. What's that all about? Timber Grove. What's that all about? >> Thanks, Rob. Uh yeah, we're we're a >> Thanks, Rob. Uh yeah, we're we're a >> Thanks, Rob. Uh yeah, we're we're a engineering agency basically that uh we engineering agency basically that uh we engineering agency basically that uh we build custom software and hardware build custom software and hardware build custom software and hardware solutions. So if a company has a need solutions. So if a company has a need solutions. So if a company has a need for something that um either exists in for something that um either exists in for something that um either exists in the marketplace, they want to integrate the marketplace, they want to integrate the marketplace, they want to integrate it. So we integrate both not just the OT it. So we integrate both not just the OT it. So we integrate both not just the OT side, you know, the operational side, you know, the operational side, you know, the operational technology, but also the the the IT side technology, but also the the the IT side technology, but also the the the IT side and we build either custom software, you and we build either custom software, you and we build either custom software, you know, a lot of pipelines, things that know, a lot of pipelines, things that know, a lot of pipelines, things that you already know, right? you know, we you already know, right? you know, we you already know, right? you know, we put together something with using put together something with using put together something with using utilizing MQTT or CFKA systems like that utilizing MQTT or CFKA systems like that utilizing MQTT or CFKA systems like that and then build applications on the end and then build applications on the end and then build applications on the end either in the end user side or the either in the end user side or the either in the end user side or the analytic side, you know, like some sort analytic side, you know, like some sort analytic side, you know, like some sort of prediction, you know, engine, you of prediction, you know, engine, you of prediction, you know, engine, you know, using machine learning models. Um, know, using machine learning models. Um, know, using machine learning models. Um, so basically we're mostly about having a so basically we're mostly about having a so basically we're mostly about having a delivery um increase optimization and delivery um increase optimization and delivery um increase optimization and uptime for machinery and and minimizing uptime for machinery and and minimizing uptime for machinery and and minimizing downtime mostly on gas and downtime mostly on gas and downtime mostly on gas and manufacturing. Those are our primary manufacturing. Those are our primary manufacturing. Those are our primary customers.

customers. customers. >> Nice. And are you totally focused on >> Nice. And are you totally focused on >> Nice. And are you totally focused on upstream or is it all over the place? upstream or is it all over the place? upstream or is it all over the place? >> We we're all over the place, but the >> We we're all over the place, but the >> We we're all over the place, but the reality is that when we when we reach reality is that when we when we reach reality is that when we when we reach out to customers, we reach out upstream. out to customers, we reach out upstream. out to customers, we reach out upstream. The reason is because I spend about a The reason is because I spend about a The reason is because I spend about a years between Baker Hughes and NOV and years between Baker Hughes and NOV and years between Baker Hughes and NOV and and you know drilling rigs and and the and you know drilling rigs and and the and you know drilling rigs and and the ri you know the drilling side of things ri you know the drilling side of things ri you know the drilling side of things you know. So upstream does both uh you know. So upstream does both uh you know. So upstream does both uh drilling and exploration and it also drilling and exploration and it also drilling and exploration and it also does a production of oil. And so those does a production of oil. And so those does a production of oil. And so those are the areas areas that we know really are the areas areas that we know really are the areas areas that we know really well. So when we have conversations with well. So when we have conversations with well. So when we have conversations with customers, it's a lot easier to do if customers, it's a lot easier to do if customers, it's a lot easier to do if you know that I know a little bit about you know that I know a little bit about you know that I know a little bit about refiners, but it's not my field. So I refiners, but it's not my field. So I refiners, but it's not my field. So I try to stay away from that unless they try to stay away from that unless they try to stay away from that unless they want something very niche that the want something very niche that the want something very niche that the technology is more important than the technology is more important than the technology is more important than the actual process itself. And so which actual process itself. And so which actual process itself. And so which doesn't happen often, you know. So doesn't happen often, you know. So doesn't happen often, you know. So >> yeah, I went to a plug-andplay event >> yeah, I went to a plug-andplay event >> yeah, I went to a plug-andplay event last week in Sugarland at their office. last week in Sugarland at their office. last week in Sugarland at their office. They were doing kind of a batch They were doing kind of a batch They were doing kind of a batch selection thing. And you know, I was selection thing. And you know, I was selection thing. And you know, I was amazed how much hard the hard tech that amazed how much hard the hard tech that amazed how much hard the hard tech that they were demonstrating. I'm I know a they were demonstrating. I'm I know a they were demonstrating. I'm I know a lot of us have been to pitch events and lot of us have been to pitch events and lot of us have been to pitch events and we've seen how startups have been over we've seen how startups have been over we've seen how startups have been over the last 20 years and they're all kind the last 20 years and they're all kind the last 20 years and they're all kind of softwarey, webby, whatever. And I go of softwarey, webby, whatever. And I go of softwarey, webby, whatever. And I go to this thing and people here's the to this thing and people here's the to this thing and people here's the prototype I did for this giant machine prototype I did for this giant machine prototype I did for this giant machine that plugs into refinery and sucks CO2 that plugs into refinery and sucks CO2 that plugs into refinery and sucks CO2 out of the air and does it everything out of the air and does it everything out of the air and does it everything there was just hard tech huge industrial there was just hard tech huge industrial there was just hard tech huge industrial and I felt really stupid all of a and I felt really stupid all of a and I felt really stupid all of a sudden. I thought I thought I was a sudden. I thought I thought I was a sudden. I thought I thought I was a player and then I saw all these people player and then I saw all these people player and then I saw all these people and they're of course they're all PhDs

and they're of course they're all PhDs and they're of course they're all PhDs and they're building really giant hard and they're building really giant hard and they're building really giant hard consequential things and so it kind of consequential things and so it kind of consequential things and so it kind of changed my perspective. M um changed my perspective. M um changed my perspective. M um >> there is a place here that one block >> there is a place here that one block >> there is a place here that one block away from the island here in Houston, away from the island here in Houston, away from the island here in Houston, Midtown Houston, is called uh the Midtown Houston, is called uh the Midtown Houston, is called uh the Greentown Labs. It's actually started in Greentown Labs. It's actually started in Greentown Labs. It's actually started in Boston, you know, Boston, you know, Boston, you know, >> and it's mostly clean tech and you know, >> and it's mostly clean tech and you know, >> and it's mostly clean tech and you know, energy transition, but they actually energy transition, but they actually energy transition, but they actually have a lab, a section that is just labs. have a lab, a section that is just labs. have a lab, a section that is just labs. And Rob, next time you're here on And Rob, next time you're here on And Rob, next time you're here on Friday, we should go there. We have a Friday, we should go there. We have a Friday, we should go there. We have a lab there, Tim's little lab there. But lab there, Tim's little lab there. But lab there, Tim's little lab there. But the things that people are building the things that people are building the things that people are building there are just incredible. There's a guy there are just incredible. There's a guy there are just incredible. There's a guy building this um you know how pipes and building this um you know how pipes and building this um you know how pipes and and drilling had these big threads, and drilling had these big threads, and drilling had these big threads, right? And every time that you put that right? And every time that you put that right? And every time that you put that pipe and goes downhole, if the thread pipe and goes downhole, if the thread pipe and goes downhole, if the thread gets damaged, and you're talking about gets damaged, and you're talking about gets damaged, and you're talking about thousands of tons of weight that you're thousands of tons of weight that you're thousands of tons of weight that you're putting on that pipe, right, putting on that pipe, right, putting on that pipe, right, >> that thread, if it if it gets damaged, >> that thread, if it if it gets damaged, >> that thread, if it if it gets damaged, it could cause a huge thing and, you it could cause a huge thing and, you it could cause a huge thing and, you know, downhole the the hole can know, downhole the the hole can know, downhole the the hole can collapse. It's, you know, cost millions collapse. It's, you know, cost millions collapse. It's, you know, cost millions of dollars. of dollars. of dollars. >> Um, and so these guys are building >> Um, and so these guys are building >> Um, and so these guys are building something using just the the Jetson something using just the the Jetson something using just the the Jetson nanos, right? nanos, right? nanos, right? And then cameras and then using cameras, And then cameras and then using cameras, And then cameras and then using cameras, the Raspberry Pi type of cameras in the Raspberry Pi type of cameras in the Raspberry Pi type of cameras in built into the inside of a cage that you built into the inside of a cage that you built into the inside of a cage that you put on top of the thread and in seconds put on top of the thread and in seconds put on top of the thread and in seconds tells you alignment. It can tell you tells you alignment. It can tell you tells you alignment. It can tell you whether it's out of specs. It's just whether it's out of specs. It's just whether it's out of specs. It's just incredible. I mean, this guys and incredible. I mean, this guys and incredible. I mean, this guys and they're they're building with 3D printed they're they're building with 3D printed they're they're building with 3D printed uh materials, by the way, which is just uh materials, by the way, which is just uh materials, by the way, which is just incredible.

incredible. incredible. >> Um Ian, I know it's your first time >> Um Ian, I know it's your first time >> Um Ian, I know it's your first time here, and uh I I only have two jobs here, and uh I I only have two jobs here, and uh I I only have two jobs here. I bring lack of intelligence and here. I bring lack of intelligence and here. I bring lack of intelligence and two, I clarify things for the for the two, I clarify things for the for the two, I clarify things for the for the young people. So these young people young people. So these young people young people. So these young people downhole Ian is talking about the tools downhole Ian is talking about the tools downhole Ian is talking about the tools and the operations that go into the and the operations that go into the and the operations that go into the ground into the hole to get crude oil. ground into the hole to get crude oil. ground into the hole to get crude oil. He's not talking about a really bad He's not talking about a really bad He's not talking about a really bad hangover as you're being tossed out of hangover as you're being tossed out of hangover as you're being tossed out of your favorite club. That's not that's your favorite club. That's not that's your favorite club. That's not that's not what downhole not what downhole not what downhole clarification, David. I appreciate it. I clarification, David. I appreciate it. I clarification, David. I appreciate it. I did I did see a stat somewhere that did I did see a stat somewhere that did I did see a stat somewhere that there's more uh college uh students there's more uh college uh students there's more uh college uh students studying kind of hardware and electrical studying kind of hardware and electrical studying kind of hardware and electrical engineering now than pure computer engineering now than pure computer engineering now than pure computer science like it's shifted science like it's shifted science like it's shifted >> it has I think you know one um I read >> it has I think you know one um I read >> it has I think you know one um I read somewhere from uh an alleged reputable somewhere from uh an alleged reputable somewhere from uh an alleged reputable source source source if you were not doing um computer if you were not doing um computer if you were not doing um computer science before 2021 just forget about it science before 2021 just forget about it science before 2021 just forget about it just just just >> just pivot to something else. That's not >> just pivot to something else. That's not >> just pivot to something else. That's not it.

it. it. >> Those are >> Those are >> Those are >> Yeah. And >> Yeah. And >> Yeah. And >> tech all about the uh >> tech all about the uh >> tech all about the uh >> Oil and gas and maybe, you know, maybe >> Oil and gas and maybe, you know, maybe >> Oil and gas and maybe, you know, maybe even a construction, even a construction, even a construction, you know, it's like talk about lessons you know, it's like talk about lessons you know, it's like talk about lessons that have always been there. These folks that have always been there. These folks that have always been there. These folks have always the good companies, the good have always the good companies, the good have always the good companies, the good outfits have always been in the local outfits have always been in the local outfits have always been in the local trade schools, you know, uh all your trade schools, you know, uh all your trade schools, you know, uh all your local shops, like basically um fostering local shops, like basically um fostering local shops, like basically um fostering and creating the awareness that these and creating the awareness that these and creating the awareness that these jobs exist, that these jobs are crucial. jobs exist, that these jobs are crucial. jobs exist, that these jobs are crucial. Uh they pay well, you can see what Uh they pay well, you can see what Uh they pay well, you can see what you've built. you've built. you've built. >> Um they're not they're not fancy because >> Um they're not they're not fancy because >> Um they're not they're not fancy because you're not in an, you know, in an office you're not in an, you know, in an office you're not in an, you know, in an office downtown, your favorite city, but you downtown, your favorite city, but you downtown, your favorite city, but you know, they're they're awesome jobs. if know, they're they're awesome jobs. if know, they're they're awesome jobs. if you ever had the opportunity to be in a you ever had the opportunity to be in a you ever had the opportunity to be in a in a production site. in a production site. in a production site. >> That's so true. >> That's so true. >> That's so true. >> My two cents. >> My two cents. >> My two cents. >> No, you're so right. >> No, you're so right. >> No, you're so right. >> I saw I got I got caught in a bit of an >> I saw I got I got caught in a bit of an >> I saw I got I got caught in a bit of an Instagram kind of hole last night as I Instagram kind of hole last night as I Instagram kind of hole last night as I was scrolling doom scrolling and I saw was scrolling doom scrolling and I saw was scrolling doom scrolling and I saw there was a woman who had um built a uh there was a woman who had um built a uh there was a woman who had um built a uh she lived in some suburb in the Midwest she lived in some suburb in the Midwest she lived in some suburb in the Midwest and she built a she basically created a and she built a she basically created a and she built a she basically created a mine under her house. Um, and she she mine under her house. Um, and she she mine under her house. Um, and she she dug a mine and um and she was mining dug a mine and um and she was mining dug a mine and um and she was mining rocks and she had built the forms for rocks and she had built the forms for rocks and she had built the forms for the concrete for the tunnel and like and the concrete for the tunnel and like and the concrete for the tunnel and like and she had all this like it was like a she had all this like it was like a she had all this like it was like a multi-year project and of course then multi-year project and of course then multi-year project and of course then the city got involved and shut her down the city got involved and shut her down the city got involved and shut her down because she had no permits for anything because she had no permits for anything because she had no permits for anything of course of course of course >> but she was it was like and she had like >> but she was it was like and she had like >> but she was it was like and she had like this you know and she had built this this you know and she had built this this you know and she had built this conveyor belt and like kind of the and

conveyor belt and like kind of the and conveyor belt and like kind of the and the sump pump and the whole thing and it the sump pump and the whole thing and it the sump pump and the whole thing and it was an incredible was an incredible was an incredible >> and she was just doing this stuff you >> and she was just doing this stuff you >> and she was just doing this stuff you know and like you mining rocks under her know and like you mining rocks under her know and like you mining rocks under her house and it was like an amazing set of house and it was like an amazing set of house and it was like an amazing set of engineering skills. engineering skills. engineering skills. >> Oh, >> Oh, >> Oh, >> and she was running like you know >> and she was running like you know >> and she was running like you know electrical conduit and she was I mean electrical conduit and she was I mean electrical conduit and she was I mean talk about hard tech. I mean it was just talk about hard tech. I mean it was just talk about hard tech. I mean it was just all hands-on stuff. all hands-on stuff. all hands-on stuff. Speaking of construction and women, it's Speaking of construction and women, it's Speaking of construction and women, it's uh happy construction happy women in uh happy construction happy women in uh happy construction happy women in construction week. construction week. construction week. >> Oh, really? Interesting. >> Oh, really? Interesting. >> Oh, really? Interesting. >> Very good. Outstanding. I have um I have >> Very good. Outstanding. I have um I have >> Very good. Outstanding. I have um I have a a few uh marketing construction a a few uh marketing construction a a few uh marketing construction companies and a readymix company and companies and a readymix company and companies and a readymix company and >> commercial construction companies. And >> commercial construction companies. And >> commercial construction companies. And you're right though, David, it's all you're right though, David, it's all you're right though, David, it's all about all of their equipment, about all of their equipment, about all of their equipment, >> maintenance, operations, locating them, >> maintenance, operations, locating them, >> maintenance, operations, locating them, >> um recovering them, safety, compliance, >> um recovering them, safety, compliance, >> um recovering them, safety, compliance, like that's like where all their energy like that's like where all their energy like that's like where all their energy is. It's not on this. I mean, from a is. It's not on this. I mean, from a is. It's not on this. I mean, from a software perspective, it's just like software perspective, it's just like software perspective, it's just like we've been talking about AI for weeks we've been talking about AI for weeks we've been talking about AI for weeks and weeks and weeks. It's really they and weeks and weeks. It's really they and weeks and weeks. It's really they just see it as a tool. So just see it as a tool. So just see it as a tool. So >> it is >> it is >> it is >> right means to an end. Yeah. And even >> right means to an end. Yeah. And even >> right means to an end. Yeah. And even like like the concrete I learned a lot like like the concrete I learned a lot like like the concrete I learned a lot about concrete and the uh the water about concrete and the uh the water about concrete and the uh the water ratios and like you know what the ratios ratios and like you know what the ratios ratios and like you know what the ratios of concrete you need to have to do of concrete you need to have to do of concrete you need to have to do different things and things like that.

different things and things like that. different things and things like that. Well, they use the tricky things like Well, they use the tricky things like Well, they use the tricky things like the the type of aggregate for the type the the type of aggregate for the type the the type of aggregate for the type of asphalt that is going to change based of asphalt that is going to change based of asphalt that is going to change based on altitude and whether you're building on altitude and whether you're building on altitude and whether you're building through a mountain is uh super cool. through a mountain is uh super cool. through a mountain is uh super cool. Shout out to Knife River, a subsidiary Shout out to Knife River, a subsidiary Shout out to Knife River, a subsidiary of Montana Dakota Utilities all over the of Montana Dakota Utilities all over the of Montana Dakota Utilities all over the Pacific Northwest. Lots of cool rigs, Pacific Northwest. Lots of cool rigs, Pacific Northwest. Lots of cool rigs, lots of um I mean as a non-engineer, lots of um I mean as a non-engineer, lots of um I mean as a non-engineer, I could geek out about concrete mix. I could geek out about concrete mix. I could geek out about concrete mix. >> And you know what, David? Like it who >> And you know what, David? Like it who >> And you know what, David? Like it who would think that technology and ready would think that technology and ready would think that technology and ready mix is coming together right now. mix is coming together right now. mix is coming together right now. >> The biggest growth engines for my client >> The biggest growth engines for my client >> The biggest growth engines for my client Guadalupe Readymix, shout out in Texas. Guadalupe Readymix, shout out in Texas. Guadalupe Readymix, shout out in Texas. They are their two largest growth areas They are their two largest growth areas They are their two largest growth areas are data data centers. They're they're are data data centers. They're they're are data data centers. They're they're putting all the concrete in for these putting all the concrete in for these putting all the concrete in for these massive data centers all over Texas. massive data centers all over Texas. massive data centers all over Texas. >> And then number two, um the >> And then number two, um the >> And then number two, um the modernization of that's happening with modernization of that's happening with modernization of that's happening with the smart grid.

the smart grid. the smart grid. >> And so they're they're they're in the >> And so they're they're they're in the >> And so they're they're they're in the middle of, you know, building out the middle of, you know, building out the middle of, you know, building out the concrete platforms for these massive, concrete platforms for these massive, concrete platforms for these massive, you know, transmission lines that are you know, transmission lines that are you know, transmission lines that are being like they're old or antiquated. being like they're old or antiquated. being like they're old or antiquated. They need to be upgraded, They need to be upgraded, They need to be upgraded, >> right? New paths. You know, you just >> right? New paths. You know, you just >> right? New paths. You know, you just don't think about like things that are don't think about like things that are don't think about like things that are happening in tech that are moving the happening in tech that are moving the happening in tech that are moving the needle. Texas is one of the fastest needle. Texas is one of the fastest needle. Texas is one of the fastest growing states for data uh center growing states for data uh center growing states for data uh center buildout. buildout. buildout. >> And the fact that they need concrete and >> And the fact that they need concrete and >> And the fact that they need concrete and and not only that, the trend is batch and not only that, the trend is batch and not only that, the trend is batch planning. So batch plants, they can be planning. So batch plants, they can be planning. So batch plants, they can be moved and mobile and be set up really moved and mobile and be set up really moved and mobile and be set up really quickly on the fly wherever that quickly on the fly wherever that quickly on the fly wherever that location is. And so they're not sitting location is. And so they're not sitting location is. And so they're not sitting there, you know, with a long line of there, you know, with a long line of there, you know, with a long line of trucks coming from those places. So trucks coming from those places. So trucks coming from those places. So things are just like moving pretty things are just like moving pretty things are just like moving pretty quickly. You never think about that kind quickly. You never think about that kind quickly. You never think about that kind of thing. Usually it takes us 20 minutes of thing. Usually it takes us 20 minutes of thing. Usually it takes us 20 minutes to get into something that's IoT uh to get into something that's IoT uh to get into something that's IoT uh related and you know but things that related and you know but things that related and you know but things that most of uh for some time now um because most of uh for some time now um because most of uh for some time now um because you know we've had telematics for a you know we've had telematics for a you know we've had telematics for a while but ready mix was one of the key while but ready mix was one of the key while but ready mix was one of the key use cases to be able to get um data from use cases to be able to get um data from use cases to be able to get um data from the drum that's mixing because when the drum that's mixing because when the drum that's mixing because when you're doing when you're pouring a data you're doing when you're pouring a data you're doing when you're pouring a data center that's that's different than the center that's that's different than the center that's that's different than the 8 by8 shed that Rob and I bought at our 8 by8 shed that Rob and I bought at our 8 by8 shed that Rob and I bought at our local Home Depot. We can do that just local Home Depot. We can do that just local Home Depot. We can do that just the two of us.

the two of us. the two of us. >> But when you're pouring concrete, it is >> But when you're pouring concrete, it is >> But when you're pouring concrete, it is highly highly orchestrated, highly highly orchestrated, highly highly orchestrated, >> right? >> right? >> right? >> And eventually we made it into the >> And eventually we made it into the >> And eventually we made it into the telematics data where we can get data telematics data where we can get data telematics data where we can get data from the mixer in the back so that you from the mixer in the back so that you from the mixer in the back so that you can dispatch trucks in the right order can dispatch trucks in the right order can dispatch trucks in the right order so you get one continuous pour. Now so you get one continuous pour. Now so you get one continuous pour. Now again, not an engineer. I cannot I I again, not an engineer. I cannot I I again, not an engineer. I cannot I I don't remember the intricacies, but it's don't remember the intricacies, but it's don't remember the intricacies, but it's the difference between a slab that the the difference between a slab that the the difference between a slab that the customer will approve like you did a customer will approve like you did a customer will approve like you did a good job and having problems down the good job and having problems down the good job and having problems down the end. end. end. >> Um, and it's all monitored uh with, you >> Um, and it's all monitored uh with, you >> Um, and it's all monitored uh with, you know, lots of uh good old connectivity, know, lots of uh good old connectivity, know, lots of uh good old connectivity, >> all of the teleics. >> all of the teleics. >> all of the teleics. >> Streamed baby streamed 6G 6G concrete >> Streamed baby streamed 6G 6G concrete >> Streamed baby streamed 6G 6G concrete together. They were really hopping up 6G together. They were really hopping up 6G together. They were really hopping up 6G at Mobile World Congress. at Mobile World Congress. at Mobile World Congress. >> You know, I >> You know, I >> You know, I >> What else is there to talk about? >> What else is there to talk about? >> What else is there to talk about? >> There's there's there's four things that >> There's there's there's four things that >> There's there's there's four things that I didn't want anyone to talk about from I didn't want anyone to talk about from I didn't want anyone to talk about from Mobile World Congress. One was uh Mobile World Congress. One was uh Mobile World Congress. One was uh there's, you know, they keep coming back there's, you know, they keep coming back there's, you know, they keep coming back with the smart glasses because MA and with the smart glasses because MA and with the smart glasses because MA and Rayban, I mean, they sold millions of Rayban, I mean, they sold millions of Rayban, I mean, they sold millions of these. So, it's coming whether we want these. So, it's coming whether we want these. So, it's coming whether we want to or not. Uh, private wireless, that's to or not. Uh, private wireless, that's to or not. Uh, private wireless, that's still a big I'm a fan of that.

still a big I'm a fan of that. still a big I'm a fan of that. >> Yeah. >> Yeah. >> Yeah. >> Uh, SPG32 because we all want easy to >> Uh, SPG32 because we all want easy to >> Uh, SPG32 because we all want easy to swap IoT deployments, but swap IoT deployments, but swap IoT deployments, but 6G because 6G is what Telos really, 6G because 6G is what Telos really, 6G because 6G is what Telos really, really need to double, quadruple really need to double, quadruple really need to double, quadruple revenue. That's all you need. revenue. That's all you need. revenue. That's all you need. >> Oh, wait. Should I tell them? Oh, >> Oh, wait. Should I tell them? Oh, >> Oh, wait. Should I tell them? Oh, I remember when they were saying that I remember when they were saying that I remember when they were saying that about 5G and we're going to make so much about 5G and we're going to make so much about 5G and we're going to make so much more money and pe remember more money and pe remember more money and pe remember >> Oh, yeah. 4G. >> Oh, yeah. 4G. >> Oh, yeah. 4G. >> They found some analysts that said >> They found some analysts that said >> They found some analysts that said people will like double people will like double people will like double >> Yeah. >> Yeah. >> Yeah. >> folks not on this call. Folks not on >> folks not on this call. Folks not on >> folks not on this call. Folks not on this call. this call. this call. >> Not on this call. But they found >> Not on this call. But they found >> Not on this call. But they found analysts Ericson and Verizon and analysts Ericson and Verizon and analysts Ericson and Verizon and everybody. They said, "Yeah, people pay everybody. They said, "Yeah, people pay everybody. They said, "Yeah, people pay a premium for the faster 5G speeds." a premium for the faster 5G speeds." a premium for the faster 5G speeds." >> And how did that work out? People are >> And how did that work out? People are >> And how did that work out? People are like, "Nope, it's table stakes." like, "Nope, it's table stakes." like, "Nope, it's table stakes." >> Absolutely not. It is just needs to be >> Absolutely not. It is just needs to be >> Absolutely not. It is just needs to be inherit when I pick up my phone. inherit when I pick up my phone. inherit when I pick up my phone. >> It's like >> It's like >> It's like >> I remember the the use case of the the >> I remember the the use case of the the >> I remember the the use case of the the surgeon who would need a consultation surgeon who would need a consultation surgeon who would need a consultation with somebody visually. I'm like, with somebody visually. I'm like, with somebody visually. I'm like, really? How many times those are really really? How many times those are really really? How many times those are really are happening these days? You know, are happening these days? You know, are happening these days? You know, >> probably not surgery on a banana.

>> probably not surgery on a banana. >> probably not surgery on a banana. >> That's right. That's right. >> That's right. That's right. >> That's right. That's right. >> You know, here. So, I won't defend the >> You know, here. So, I won't defend the >> You know, here. So, I won't defend the banana surgery, but but let's let No, banana surgery, but but let's let No, banana surgery, but but let's let No, listen. Listen, let's be thoughtful listen. Listen, let's be thoughtful listen. Listen, let's be thoughtful about it. Uh, this was a marketing ploy. about it. Uh, this was a marketing ploy. about it. Uh, this was a marketing ploy. >> What >> What >> What >> it it showed it showed a capability >> it it showed it showed a capability >> it it showed it showed a capability that was never tied to a wireless that was never tied to a wireless that was never tied to a wireless network before, right? So, it's like, network before, right? So, it's like, network before, right? So, it's like, hey, before you couldn't do this, one hey, before you couldn't do this, one hey, before you couldn't do this, one day you you could do this. But but the day you you could do this. But but the day you you could do this. But but the big miss is that if any responsible big miss is that if any responsible big miss is that if any responsible adult that has a condition that warrants adult that has a condition that warrants adult that has a condition that warrants that requires surgery and care from a that requires surgery and care from a that requires surgery and care from a boardcertified boardcertified boardcertified responsible surgeon. None of us would responsible surgeon. None of us would responsible surgeon. None of us would choose the goddamn robot controlled by choose the goddamn robot controlled by choose the goddamn robot controlled by the guy. I need the guy or the gal. the guy. I need the guy or the gal. the guy. I need the guy or the gal. True. Yeah, True. Yeah, True. Yeah, >> humans. We all know about robotic >> humans. We all know about robotic >> humans. We all know about robotic dexterity. And on top of that, I'm going dexterity. And on top of that, I'm going dexterity. And on top of that, I'm going to add to add to add >> a network.

>> a network. >> a network. >> Anyway, >> Anyway, >> Anyway, >> it's low latency. >> it's low latency. >> it's low latency. >> What were you saying, Steve? >> What were you saying, Steve? >> What were you saying, Steve? >> Yes. >> Yes. >> Yes. >> Ultra ultra low latency, Rob. Not just >> Ultra ultra low latency, Rob. Not just >> Ultra ultra low latency, Rob. Not just >> I didn't hear what you Steve, I didn't >> I didn't hear what you Steve, I didn't >> I didn't hear what you Steve, I didn't hear what you were saying. hear what you were saying. hear what you were saying. >> I was just saying I think they should >> I was just saying I think they should >> I was just saying I think they should just go straight to 7G. Just rolls up just go straight to 7G. Just rolls up just go straight to 7G. Just rolls up and down. goes to 11 11g. and down. goes to 11 11g. and down. goes to 11 11g. >> 11. That's exactly right. >> 11. That's exactly right. >> 11. That's exactly right. >> So, let's skip one skip one version, >> So, let's skip one skip one version, >> So, let's skip one skip one version, right? Let's keep one version. right? Let's keep one version. right? Let's keep one version. >> So, Steve Canon is >> So, Steve Canon is >> So, Steve Canon is >> Yeah, it was like Windows We didn't do >> Yeah, it was like Windows We didn't do >> Yeah, it was like Windows We didn't do Windows 9. Remember that? We went from Windows 9. Remember that? We went from Windows 9. Remember that? We went from Windows 8 to Windows 10 cuz it was Windows 8 to Windows 10 cuz it was Windows 8 to Windows 10 cuz it was >> because there was something about >> because there was something about >> because there was something about Windows 95 was going to screw things up Windows 95 was going to screw things up Windows 95 was going to screw things up or something. or something. or something. >> Some Steve Cannon is like the most IoT >> Some Steve Cannon is like the most IoT >> Some Steve Cannon is like the most IoT person on this call right now person on this call right now person on this call right now >> and I would love for you to bring it. >> and I would love for you to bring it. >> and I would love for you to bring it. The last time you were on the call, it's The last time you were on the call, it's The last time you were on the call, it's been a while. you had long hair um and been a while. you had long hair um and been a while. you had long hair um and you were doing the twin thread thing up you were doing the twin thread thing up you were doing the twin thread thing up in in in >> Bosezeman. >> Bosezeman. >> Bosezeman. >> Maybe catch everybody up with what >> Maybe catch everybody up with what >> Maybe catch everybody up with what you're doing these days. you're doing these days. you're doing these days. >> Yeah, I've since relocated two hours >> Yeah, I've since relocated two hours >> Yeah, I've since relocated two hours east of Houston to Lake Charles, east of Houston to Lake Charles, east of Houston to Lake Charles, Louisiana, where where I'm from. Louisiana, where where I'm from. Louisiana, where where I'm from. >> Um >> Um >> Um >> uh I did come out of Twin Thread. I >> uh I did come out of Twin Thread. I >> uh I did come out of Twin Thread. I basically use a white label version of basically use a white label version of basically use a white label version of Twin Thread and went down market to go Twin Thread and went down market to go Twin Thread and went down market to go simplify it. And uh our first pilot simplify it. And uh our first pilot simplify it. And uh our first pilot project was with a concrete and asphalt project was with a concrete and asphalt project was with a concrete and asphalt factory.

factory. factory. >> Nice. >> Nice. >> Nice. >> 5,000 tons a day. They have a rotary >> 5,000 tons a day. They have a rotary >> 5,000 tons a day. They have a rotary killing system on eight motors. killing system on eight motors. killing system on eight motors. >> Has to rotate at a certain speed at 600° >> Has to rotate at a certain speed at 600° >> Has to rotate at a certain speed at 600° Fahrenheit on these 850 horsepower Fahrenheit on these 850 horsepower Fahrenheit on these 850 horsepower motors. They don't know which ones are motors. They don't know which ones are motors. They don't know which ones are going to fail, but if they lose more going to fail, but if they lose more going to fail, but if they lose more than two, the whole operation stops. Um, than two, the whole operation stops. Um, than two, the whole operation stops. Um, we put on energy sensors and vibration we put on energy sensors and vibration we put on energy sensors and vibration sensors and 24 hours later came back and sensors and 24 hours later came back and sensors and 24 hours later came back and said, "Number two, that one's not that said, "Number two, that one's not that said, "Number two, that one's not that one doesn't look right." You know, and one doesn't look right." You know, and one doesn't look right." You know, and number five is certainly consuming way number five is certainly consuming way number five is certainly consuming way more energy than the rest. And sure more energy than the rest. And sure more energy than the rest. And sure enough, those were the first two out of enough, those were the first two out of enough, those were the first two out of the eight to go. And instead of having the eight to go. And instead of having the eight to go. And instead of having four or six of these on standby, they four or six of these on standby, they four or six of these on standby, they knew they only needed two. And so this knew they only needed two. And so this knew they only needed two. And so this kind of first visibility into a factory kind of first visibility into a factory kind of first visibility into a factory that was 50 years old almost. that was 50 years old almost. that was 50 years old almost. And then the other was their conveyor And then the other was their conveyor And then the other was their conveyor system. Simple thing they offload ships. system. Simple thing they offload ships. system. Simple thing they offload ships. If they get too much tonnage and they If they get too much tonnage and they If they get too much tonnage and they don't know density from ship load to don't know density from ship load to don't know density from ship load to ship load or even on the ship sometimes ship load or even on the ship sometimes ship load or even on the ship sometimes that if they get too much the whole that if they get too much the whole that if they get too much the whole system stops and then they have to system stops and then they have to system stops and then they have to manually shovel off the conveyor system manually shovel off the conveyor system manually shovel off the conveyor system to get back to an operational weight to get back to an operational weight to get back to an operational weight before they can start it again. So, but before they can start it again. So, but before they can start it again. So, but really simplified of uh plug and play, really simplified of uh plug and play, really simplified of uh plug and play, show it at work, prove short-term value show it at work, prove short-term value show it at work, prove short-term value quickly, and then quickly, and then quickly, and then >> do more of it.

>> do more of it. >> do more of it. >> Right. >> Right. >> Right. >> So, Pulse Checker is your company. >> So, Pulse Checker is your company. >> So, Pulse Checker is your company. >> Yeah. >> Yeah. >> Yeah. >> Um, and I remember getting to ride >> Um, and I remember getting to ride >> Um, and I remember getting to ride Shotgun with you in Bosezeman a few Shotgun with you in Bosezeman a few Shotgun with you in Bosezeman a few winters ago. I can't believe that you winters ago. I can't believe that you winters ago. I can't believe that you were pitching VCs in the dead of win were pitching VCs in the dead of win were pitching VCs in the dead of win like in December in Bosezeman. So, I got like in December in Bosezeman. So, I got like in December in Bosezeman. So, I got to experience. to experience. to experience. >> You learn to survive. >> You learn to survive. >> You learn to survive. >> Yes. Yes. And so, that was that was fun >> Yes. Yes. And so, that was that was fun >> Yes. Yes. And so, that was that was fun hanging out with you there. And I never hanging out with you there. And I never hanging out with you there. And I never thought I'd go to Everybody who goes to thought I'd go to Everybody who goes to thought I'd go to Everybody who goes to Bosezeman who decides, "Oh, we're moving Bosezeman who decides, "Oh, we're moving Bosezeman who decides, "Oh, we're moving here. This is the best city in America." here. This is the best city in America." here. This is the best city in America." We were there like in August, you know. We were there like in August, you know. We were there like in August, you know. >> Yeah. >> Yeah. >> Yeah. >> Well, it was a hurricane down here, >> Well, it was a hurricane down here, >> Well, it was a hurricane down here, hurricane Rita that pushed us up there. hurricane Rita that pushed us up there. hurricane Rita that pushed us up there. Uh, we ended up in Las Vegas for two Uh, we ended up in Las Vegas for two Uh, we ended up in Las Vegas for two years. I was in the casino world at the years. I was in the casino world at the years. I was in the casino world at the time. time. time. um and then ended up in Bosezeman and it um and then ended up in Bosezeman and it um and then ended up in Bosezeman and it wasn't on our road map and managed to wasn't on our road map and managed to wasn't on our road map and managed to stay for almost 17 years, but three stay for almost 17 years, but three stay for almost 17 years, but three years was the magic number. Anybody that years was the magic number. Anybody that years was the magic number. Anybody that moved up there, if they made it past moved up there, if they made it past moved up there, if they made it past three years, three winters, not just three years, three winters, not just three years, three winters, not just summers, there's a pretty good chance summers, there's a pretty good chance summers, there's a pretty good chance they would stay they would stay they would stay >> because there's like a lot of We saw a >> because there's like a lot of We saw a >> because there's like a lot of We saw a lot of yepy Californians who moved there lot of yepy Californians who moved there lot of yepy Californians who moved there because they heard it was cool and we because they heard it was cool and we because they heard it was cool and we don't know if they can survive, you don't know if they can survive, you don't know if they can survive, you know.

know. know. >> Uh the Pacific Northwest, right? >> Uh the Pacific Northwest, right? >> Uh the Pacific Northwest, right? >> I've seen 37 below on my dashboard. >> I've seen 37 below on my dashboard. >> I've seen 37 below on my dashboard. >> Wow. >> Wow. >> Wow. >> No thank no thank you. >> No thank no thank you. >> No thank no thank you. >> Wow. >> Wow. >> Wow. >> My body wouldn't survive that. It's like >> My body wouldn't survive that. It's like >> My body wouldn't survive that. It's like the first thing you need to ask the the first thing you need to ask the the first thing you need to ask the people from LA when they move to people from LA when they move to people from LA when they move to Boseman. It's like, "All right, how many Boseman. It's like, "All right, how many Boseman. It's like, "All right, how many cords of wood have you collected to see cords of wood have you collected to see cords of wood have you collected to see if you can make it through the winter?" if you can make it through the winter?" if you can make it through the winter?" >> Because you have no idea. I know you're >> Because you have no idea. I know you're >> Because you have no idea. I know you're watching Yellowstone and you think it's watching Yellowstone and you think it's watching Yellowstone and you think it's just going to be great. just going to be great. just going to be great. >> Throw a couple of Dur. >> Throw a couple of Dur. >> Throw a couple of Dur. Yeah, Yeah, Yeah, >> absolutely. Um, but man, the stuff >> absolutely. Um, but man, the stuff >> absolutely. Um, but man, the stuff Steve's doing, I mean, the machines Steve's doing, I mean, the machines Steve's doing, I mean, the machines you're building, um, you know, I know it you're building, um, you know, I know it you're building, um, you know, I know it started with, you know, freezers and started with, you know, freezers and started with, you know, freezers and coolers and restaurants. coolers and restaurants. coolers and restaurants. >> Yeah. >> Yeah. >> Yeah. >> Um, and the stuff you're doing is >> Um, and the stuff you're doing is >> Um, and the stuff you're doing is hardcore. hardcore. hardcore. >> We're doing digital twins of boats, >> We're doing digital twins of boats, >> We're doing digital twins of boats, tugboats, big 5,000 horsepower engines, tugboats, big 5,000 horsepower engines, tugboats, big 5,000 horsepower engines, >> uh, entire school systems. >> uh, entire school systems. >> uh, entire school systems. Um, it's it's really been interesting Um, it's it's really been interesting Um, it's it's really been interesting finding people that really want to get finding people that really want to get finding people that really want to get nerdy about old equipment. nerdy about old equipment. nerdy about old equipment. >> Yeah. Yeah. And I think we've said that >> Yeah. Yeah. And I think we've said that >> Yeah. Yeah. And I think we've said that on the show before, you know, earlier on the show before, you know, earlier on the show before, you know, earlier days of IoT, the the people, if you want days of IoT, the the people, if you want days of IoT, the the people, if you want to have success in IoT, you have to work to have success in IoT, you have to work to have success in IoT, you have to work with old stuff. You got to embrace you with old stuff. You got to embrace you with old stuff. You got to embrace you got to embrace Brownfield. embrace cuz got to embrace Brownfield. embrace cuz got to embrace Brownfield. embrace cuz >> too many people dove into IoT early on >> too many people dove into IoT early on >> too many people dove into IoT early on and they showed up with Raspberry Pies and they showed up with Raspberry Pies and they showed up with Raspberry Pies and they told companies, I need you to and they told companies, I need you to and they told companies, I need you to rip out all that old stuff and we're rip out all that old stuff and we're rip out all that old stuff and we're going to put in all this shiny new stuff going to put in all this shiny new stuff going to put in all this shiny new stuff and what do those people say? Get the and what do those people say? Get the and what do those people say? Get the hell out of my office.

hell out of my office. hell out of my office. >> Rip and replace is never a good thing in >> Rip and replace is never a good thing in >> Rip and replace is never a good thing in IoT for sure. Yes, IoT for sure. Yes, IoT for sure. Yes, >> you need to most >> you need to most >> you need to most >> unfortunately I have to leave. >> unfortunately I have to leave. >> unfortunately I have to leave. >> Well, thanks for joining this guys. >> Well, thanks for joining this guys. >> Well, thanks for joining this guys. Yeah, sorry only 30 minutes but a Yeah, sorry only 30 minutes but a Yeah, sorry only 30 minutes but a pleasure to meet everybody. I've watched pleasure to meet everybody. I've watched pleasure to meet everybody. I've watched you from the distance. So excited to to you from the distance. So excited to to you from the distance. So excited to to share some time with you guys. share some time with you guys. share some time with you guys. Appreciate it. Appreciate it. Appreciate it. >> Absolutely. >> Absolutely. >> Absolutely. >> Thank you, Rob. Have a good weekend. See >> Thank you, Rob. Have a good weekend. See >> Thank you, Rob. Have a good weekend. See you guys later. Nice to you guys later. Nice to you guys later. Nice to >> David's dropping off, too. So, >> David's dropping off, too. So, >> David's dropping off, too. So, >> yeah. But I'll say I'll say something >> yeah. But I'll say I'll say something >> yeah. But I'll say I'll say something nice on my way out about the oil and gas nice on my way out about the oil and gas nice on my way out about the oil and gas guy, too, that just dropped off. guy, too, that just dropped off. guy, too, that just dropped off. >> Yeah. the um it's it's it wasn't hype >> Yeah. the um it's it's it wasn't hype >> Yeah. the um it's it's it wasn't hype but uh you know doing work with but uh you know doing work with but uh you know doing work with utilities and oil and gas companies um utilities and oil and gas companies um utilities and oil and gas companies um it was incredible to see the success in it was incredible to see the success in it was incredible to see the success in deals and the satisfaction of the deals and the satisfaction of the deals and the satisfaction of the customer when all you would do is say customer when all you would do is say customer when all you would do is say listen this dual hickey this widget all listen this dual hickey this widget all listen this dual hickey this widget all it's going to do is going to let you it's going to do is going to let you it's going to do is going to let you remotely monitor the things that you're remotely monitor the things that you're remotely monitor the things that you're driving two hours through the mountains driving two hours through the mountains driving two hours through the mountains to check it. That's all I'm doing. I'm to check it. That's all I'm doing. I'm to check it. That's all I'm doing. I'm not doing anything else. If there's an not doing anything else. If there's an not doing anything else. If there's an alarm, it will tell you. If something alarm, it will tell you. If something alarm, it will tell you. If something open, it will tell you. If you're doing open, it will tell you. If you're doing open, it will tell you. If you're doing if you have a pump station or a little if you have a pump station or a little if you have a pump station or a little SCADA system and you got to come look at SCADA system and you got to come look at SCADA system and you got to come look at this uh you know, Windows 7 computer, I this uh you know, Windows 7 computer, I this uh you know, Windows 7 computer, I can I can give you all that from the can I can give you all that from the can I can give you all that from the main office.

main office. main office. That was it. We were not talking about That was it. We were not talking about That was it. We were not talking about lifting and shifting, no forklifting of lifting and shifting, no forklifting of lifting and shifting, no forklifting of deals, no uh no new software, no new deals, no uh no new software, no new deals, no uh no new software, no new >> nothing. >> nothing. >> nothing. >> And oil and gas, they were incredible uh >> And oil and gas, they were incredible uh >> And oil and gas, they were incredible uh great users for uh good old IoT remote great users for uh good old IoT remote great users for uh good old IoT remote monitoring. monitoring. monitoring. >> You know what? I think we got too big >> You know what? I think we got too big >> You know what? I think we got too big for our britches sometimes with IoT and for our britches sometimes with IoT and for our britches sometimes with IoT and got too slick. And it's like, you know got too slick. And it's like, you know got too slick. And it's like, you know what? What's the basic great thing it what? What's the basic great thing it what? What's the basic great thing it does? It does great remote monitoring does? It does great remote monitoring does? It does great remote monitoring and that and that and that >> gives you gives you a heads up. >> gives you gives you a heads up. >> gives you gives you a heads up. >> That is like the original OG use case >> That is like the original OG use case >> That is like the original OG use case for for for >> almost all of the industries like >> almost all of the industries like >> almost all of the industries like >> if you look if you look at all the >> if you look if you look at all the >> if you look if you look at all the different like core applications it was different like core applications it was different like core applications it was remote monitoring and tracking were like remote monitoring and tracking were like remote monitoring and tracking were like that's just the that's the mother load that's just the that's the mother load that's just the that's the mother load from the industrial marketplace that is from the industrial marketplace that is from the industrial marketplace that is where all the money's being made. where all the money's being made. where all the money's being made. Outside of that it was like just wishful Outside of that it was like just wishful Outside of that it was like just wishful thinking. thinking. thinking. >> Yeah. And >> Yeah. And >> Yeah. And >> hey, good things, bro. Take it easy.

>> hey, good things, bro. Take it easy. >> hey, good things, bro. Take it easy. >> You know, and I know we talked about >> You know, and I know we talked about >> You know, and I know we talked about this with AI. Uh, everybody's expecting this with AI. Uh, everybody's expecting this with AI. Uh, everybody's expecting AI to do all these things. I remember AI to do all these things. I remember AI to do all these things. I remember one of our shows we just said, let's one of our shows we just said, let's one of our shows we just said, let's just get level set. What are the handful just get level set. What are the handful just get level set. What are the handful of things that we know for sure AI is of things that we know for sure AI is of things that we know for sure AI is good at good at good at >> and maybe if we just focused on building >> and maybe if we just focused on building >> and maybe if we just focused on building value around that, you know, what what value around that, you know, what what value around that, you know, what what can it do? It can summarize data, can it do? It can summarize data, can it do? It can summarize data, documents, like you know, it can write documents, like you know, it can write documents, like you know, it can write code. There's like there's this handful code. There's like there's this handful code. There's like there's this handful of stuff where we for sure know this is of stuff where we for sure know this is of stuff where we for sure know this is really good and then there's like a really good and then there's like a really good and then there's like a million things that everyone talks about million things that everyone talks about million things that everyone talks about that's La La Land that it may or may not that's La La Land that it may or may not that's La La Land that it may or may not be good at. And I think be good at. And I think be good at. And I think >> I think I think it gets challenging when >> I think I think it gets challenging when >> I think I think it gets challenging when most folks are using um these open AI most folks are using um these open AI most folks are using um these open AI systems that are fed any and all data. systems that are fed any and all data. systems that are fed any and all data. Whereas like if you're a corporation and Whereas like if you're a corporation and Whereas like if you're a corporation and you're feeding training simulation you're feeding training simulation you're feeding training simulation models, whatever, you're training it models, whatever, you're training it models, whatever, you're training it with your already trusted information, with your already trusted information, with your already trusted information, materials, documentation, code. That to materials, documentation, code. That to materials, documentation, code. That to me is where the beauty lies in AI, not me is where the beauty lies in AI, not me is where the beauty lies in AI, not this this this system that has all these external system that has all these external system that has all these external factors being fed into it, which creates factors being fed into it, which creates factors being fed into it, which creates a lot of bias, what's not providing a lot of bias, what's not providing a lot of bias, what's not providing sovereign data. Like it's just a lot of sovereign data. Like it's just a lot of sovereign data. Like it's just a lot of mess. And so I think that we have to get mess. And so I think that we have to get mess. And so I think that we have to get really smart around that the internal really smart around that the internal really smart around that the internal use, corporate use, um organizations, use, corporate use, um organizations, use, corporate use, um organizations, government entity use, like things that government entity use, like things that government entity use, like things that are already trusted in this environment.

are already trusted in this environment. are already trusted in this environment. Um it's a completely different story. um Um it's a completely different story. um Um it's a completely different story. um when you're talking about use cases and when you're talking about use cases and when you're talking about use cases and trusted data. trusted data. trusted data. >> Yeah, I love how the uh I'm going to >> Yeah, I love how the uh I'm going to >> Yeah, I love how the uh I'm going to mispronounce his name anyway, the head mispronounce his name anyway, the head mispronounce his name anyway, the head of Deep Mind at Google, his little of Deep Mind at Google, his little of Deep Mind at Google, his little comment and I posted it. He was just comment and I posted it. He was just comment and I posted it. He was just like, "All right, here's how we're going like, "All right, here's how we're going like, "All right, here's how we're going to figure it out." He goes, "We'll train to figure it out." He goes, "We'll train to figure it out." He goes, "We'll train the, you know, like Gemini for instance, the, you know, like Gemini for instance, the, you know, like Gemini for instance, because that's where he works, with because that's where he works, with because that's where he works, with everything there is to know, and then everything there is to know, and then everything there is to know, and then we're going to cut off that knowhow at we're going to cut off that knowhow at we're going to cut off that knowhow at the year 1911, and then we're going to the year 1911, and then we're going to the year 1911, and then we're going to see if it can come up with the theory of see if it can come up with the theory of see if it can come up with the theory of relativity on its own. And if it can, relativity on its own. And if it can, relativity on its own. And if it can, then we'll know we've reached AGI. If it then we'll know we've reached AGI. If it then we'll know we've reached AGI. If it cannot, then we know that we just have cannot, then we know that we just have cannot, then we know that we just have a, you know, a pattern matching a, you know, a pattern matching a, you know, a pattern matching mimicking machine, and that's all it mimicking machine, and that's all it mimicking machine, and that's all it is." And so and yeah it's it's is." And so and yeah it's it's is." And so and yeah it's it's interesting you know interesting you know interesting you know >> yeah but it's all you know it's all >> yeah but it's all you know it's all >> yeah but it's all you know it's all about the data that the thing is trained about the data that the thing is trained about the data that the thing is trained on. So you know these chat bots and on. So you know these chat bots and on. So you know these chat bots and these kind of frontier models that are these kind of frontier models that are these kind of frontier models that are trained on you know 4chan and like old trained on you know 4chan and like old trained on you know 4chan and like old soap bop or reruns and stuff are soap bop or reruns and stuff are soap bop or reruns and stuff are inherently creating like really bad inherently creating like really bad inherently creating like really bad personalities and characteristics. But personalities and characteristics. But personalities and characteristics. But if you train the data more locally on if you train the data more locally on if you train the data more locally on the actual job you want to get done, the actual job you want to get done, the actual job you want to get done, then um you get a lot more kind of then um you get a lot more kind of then um you get a lot more kind of accuracy and predictability. And so of accuracy and predictability. And so of accuracy and predictability. And so of course I'm a little biased, but I think course I'm a little biased, but I think course I'm a little biased, but I think that that that >> you know moving these models to more >> you know moving these models to more >> you know moving these models to more specific use cases as opposed to general specific use cases as opposed to general specific use cases as opposed to general purpose frontier models is really the purpose frontier models is really the purpose frontier models is really the way to go in terms of getting real ROI.

way to go in terms of getting real ROI. way to go in terms of getting real ROI. I mean I mean I mean >> you got to point out problems first. >> you got to point out problems first. >> you got to point out problems first. >> Yes. Yes. Exactly. So I think that's the >> Yes. Yes. Exactly. So I think that's the >> Yes. Yes. Exactly. So I think that's the migration is going to be toward more migration is going to be toward more migration is going to be toward more specific models and expertise. In fact, specific models and expertise. In fact, specific models and expertise. In fact, you're seeing it now. It's interesting. you're seeing it now. It's interesting. you're seeing it now. It's interesting. My former boss at Microsoft has created My former boss at Microsoft has created My former boss at Microsoft has created a kind of a you can sort of hire these a kind of a you can sort of hire these a kind of a you can sort of hire these virtualized engineers like I think it's virtualized engineers like I think it's virtualized engineers like I think it's like chemical engineer. You can hire like chemical engineer. You can hire like chemical engineer. You can hire like these employees quote unquote that like these employees quote unquote that like these employees quote unquote that are trained on very specific expertise. are trained on very specific expertise. are trained on very specific expertise. Now, he's probably levering some Now, he's probably levering some Now, he's probably levering some frontier models on the back that were frontier models on the back that were frontier models on the back that were trained on 4chan, which is not good. But trained on 4chan, which is not good. But trained on 4chan, which is not good. But um but the idea of creating more um but the idea of creating more um but the idea of creating more specialized intelligence as opposed to specialized intelligence as opposed to specialized intelligence as opposed to you go talk about general intelligence, you go talk about general intelligence, you go talk about general intelligence, I would argue there's no such thing as I would argue there's no such thing as I would argue there's no such thing as general intelligence. So there's either general intelligence. So there's either general intelligence. So there's either specialized intelligence or there's the specialized intelligence or there's the specialized intelligence or there's the intelligence of humanity, which is, as intelligence of humanity, which is, as intelligence of humanity, which is, as we know, pretty twisted. Uh so and you we know, pretty twisted. Uh so and you we know, pretty twisted. Uh so and you get uh you get models that um you know get uh you get models that um you know get uh you get models that um you know try to blackmail people and uh try to try to blackmail people and uh try to try to blackmail people and uh try to have self-preservation you know have self-preservation you know have self-preservation you know >> like we've been seeing with anthropic >> like we've been seeing with anthropic >> like we've been seeing with anthropic >> which we don't want that we don't want >> which we don't want that we don't want >> which we don't want that we don't want that. So so that was the mistake that. So so that was the mistake that. So so that was the mistake initially was training it on the garbage initially was training it on the garbage initially was training it on the garbage of humanity.

of humanity. of humanity. >> Yeah. >> Yeah. >> Yeah. >> And really the answer is training it on >> And really the answer is training it on >> And really the answer is training it on the data around the problem that you the data around the problem that you the data around the problem that you want to solve with enough want to solve with enough want to solve with enough >> kind of language capability to make >> kind of language capability to make >> kind of language capability to make sense of the data. But um we'll get sense of the data. But um we'll get sense of the data. But um we'll get there. We'll get there. there. We'll get there. there. We'll get there. >> Maybe we we maybe we end up Pete with >> Maybe we we maybe we end up Pete with >> Maybe we we maybe we end up Pete with these micro agents that are uh company these micro agents that are uh company these micro agents that are uh company specific or industry specific or use specific or industry specific or use specific or industry specific or use case outcome specific. case outcome specific. case outcome specific. >> Well, I think people that can show that >> Well, I think people that can show that >> Well, I think people that can show that they can provide agentic AI and the and they can provide agentic AI and the and they can provide agentic AI and the and and the they can trace back to the um and the they can trace back to the um and the they can trace back to the um authenticity of the data was trained on, authenticity of the data was trained on, authenticity of the data was trained on, >> I think those will be valuable assets to >> I think those will be valuable assets to >> I think those will be valuable assets to invest in. Um, invest in. Um, invest in. Um, >> do you guys do you guys feel like we we >> do you guys do you guys feel like we we >> do you guys do you guys feel like we we jumped over sanitizing the data p side jumped over sanitizing the data p side jumped over sanitizing the data p side of it and we just jumped right over that of it and we just jumped right over that of it and we just jumped right over that into the capabilities? So, into the capabilities? So, into the capabilities? So, >> talking about the bias, there's two >> talking about the bias, there's two >> talking about the bias, there's two kinds of bias, intended and everything, kinds of bias, intended and everything, kinds of bias, intended and everything, >> right? >> right? >> right? >> And we just think it's pure and it's so >> And we just think it's pure and it's so >> And we just think it's pure and it's so unpure. unpure. unpure. >> Yeah, that's even what Oracle is talking >> Yeah, that's even what Oracle is talking >> Yeah, that's even what Oracle is talking about now. You know, everybody's talking about now. You know, everybody's talking about now. You know, everybody's talking about the nature of what these are built about the nature of what these are built about the nature of what these are built upon and the upon and the upon and the >> well initially they didn't have enough >> well initially they didn't have enough >> well initially they didn't have enough data to train it on. So, they just data to train it on. So, they just data to train it on. So, they just sucked in everything from YouTube and sucked in everything from YouTube and sucked in everything from YouTube and like I said, all those soap opera reruns like I said, all those soap opera reruns like I said, all those soap opera reruns and 4chans and whatever they could get and 4chans and whatever they could get and 4chans and whatever they could get their hands on. And their hands on. And their hands on. And >> lo and behold, it's kind of uh you get >> lo and behold, it's kind of uh you get >> lo and behold, it's kind of uh you get some weird behavior there.

some weird behavior there. some weird behavior there. >> I want I want to see an AI model that's >> I want I want to see an AI model that's >> I want I want to see an AI model that's just trained 100% on Alex Jones, you just trained 100% on Alex Jones, you just trained 100% on Alex Jones, you know? know? know? >> Oh my god. >> Oh my god. >> Oh my god. >> Yeah. He'll come eat your children. >> Yeah. He'll come eat your children. >> Yeah. He'll come eat your children. >> That's right. Well, yeah, but but as >> That's right. Well, yeah, but but as >> That's right. Well, yeah, but but as well singularly looking at any one well singularly looking at any one well singularly looking at any one person, there's massive bias. person, there's massive bias. person, there's massive bias. >> Sure, everyone has bias. >> Sure, everyone has bias. >> Sure, everyone has bias. >> Prejudgments or prejudice. >> Prejudgments or prejudice. >> Prejudgments or prejudice. >> One of the exercises that was going >> One of the exercises that was going >> One of the exercises that was going around, I think it was trending, some I around, I think it was trending, some I around, I think it was trending, some I don't remember, social media or Tik Tok don't remember, social media or Tik Tok don't remember, social media or Tik Tok or is go into one of these um platforms, or is go into one of these um platforms, or is go into one of these um platforms, chat GPT or whatever, and just ask it to chat GPT or whatever, and just ask it to chat GPT or whatever, and just ask it to write a bio on yourself and watch it. go write a bio on yourself and watch it. go write a bio on yourself and watch it. go find some stuff and put a little write find some stuff and put a little write find some stuff and put a little write up together and then you read it and up together and then you read it and up together and then you read it and you're like that's there's some there's you're like that's there's some there's you're like that's there's some there's all kinds of things that's either all kinds of things that's either all kinds of things that's either missing or misinterpreted or it's missing or misinterpreted or it's missing or misinterpreted or it's actually saying some things that it actually saying some things that it actually saying some things that it thinks are fact that are completely thinks are fact that are completely thinks are fact that are completely untrue and you're like untrue and you're like untrue and you're like >> it's confidently giving that answer. >> it's confidently giving that answer. >> it's confidently giving that answer. It's not telling you, hey, there's a 60% It's not telling you, hey, there's a 60% It's not telling you, hey, there's a 60% chance this is correct. chance this is correct. chance this is correct. >> It's confidently giving an answer. >> It's confidently giving an answer. >> It's confidently giving an answer. >> Yeah. Yeah. >> Yeah. Yeah. >> Yeah. Yeah. >> In a very sickopantic way.

>> In a very sickopantic way. >> In a very sickopantic way. >> Yeah, for sure. You're right. you know, >> Yeah, for sure. You're right. you know, >> Yeah, for sure. You're right. you know, step a whole other personality disorder. step a whole other personality disorder. step a whole other personality disorder. By the way, that's By the way, that's By the way, that's >> Yeah. When I think about all this, the >> Yeah. When I think about all this, the >> Yeah. When I think about all this, the AI and the data centers and stuff like AI and the data centers and stuff like AI and the data centers and stuff like that closer to where you live, like that closer to where you live, like that closer to where you live, like there's a lot of construction data there's a lot of construction data there's a lot of construction data center stuff around San Marcos area or center stuff around San Marcos area or center stuff around San Marcos area or there's proposals to do that there's proposals to do that there's proposals to do that >> in Bassrop. >> in Bassrop. >> in Bassrop. >> Bassrop and I but I've just heard some >> Bassrop and I but I've just heard some >> Bassrop and I but I've just heard some news about people showing up at city news about people showing up at city news about people showing up at city council meetings council meetings council meetings saying we already have a drought out saying we already have a drought out saying we already have a drought out here. We don't have enough water to feed here. We don't have enough water to feed here. We don't have enough water to feed these days, these days, these days, >> you know, and obviously there's been all >> you know, and obviously there's been all >> you know, and obviously there's been all the talk about electricity and stuff the talk about electricity and stuff the talk about electricity and stuff like that. like that. like that. >> I just didn't know if you knew anything >> I just didn't know if you knew anything >> I just didn't know if you knew anything if you ever hear anything about that. if you ever hear anything about that. if you ever hear anything about that. >> No, that's that's a huge thing going on >> No, that's that's a huge thing going on >> No, that's that's a huge thing going on right now. They're they're going to the right now. They're they're going to the right now. They're they're going to the TCEQ. TCEQ. TCEQ. It's the environmental I forgot what it It's the environmental I forgot what it It's the environmental I forgot what it stands for. It's Texas. It's the stands for. It's Texas. It's the stands for. It's Texas. It's the compliance for it's the environmental compliance for it's the environmental compliance for it's the environmental compliance um organization over Texas. compliance um organization over Texas. compliance um organization over Texas. And so there's there's the two sides. And so there's there's the two sides. And so there's there's the two sides. We're complaining about water and we're We're complaining about water and we're We're complaining about water and we're complaining about electricity use. So if complaining about electricity use. So if complaining about electricity use. So if we our community is not getting you know we our community is not getting you know we our community is not getting you know we're not re you know we are already can we're not re you know we are already can we're not re you know we are already can see the growth in our population and the see the growth in our population and the see the growth in our population and the demand for electricity and then now demand for electricity and then now demand for electricity and then now you're bringing in all these data you're bringing in all these data you're bringing in all these data centers centers centers >> like what's going to happen to our >> like what's going to happen to our >> like what's going to happen to our quality of life and then the sec quality of life and then the sec quality of life and then the sec secondarily yes a lot of these secondarily yes a lot of these secondarily yes a lot of these industrial plants a lot of the the data industrial plants a lot of the the data industrial plants a lot of the the data centers require water right and so centers require water right and so centers require water right and so there's a big fe and even just creating there's a big fe and even just creating there's a big fe and even just creating the concrete lots of water these batch the concrete lots of water these batch the concrete lots of water these batch like so they're like what's going happen

like so they're like what's going happen like so they're like what's going happen to our communities and the quality of to our communities and the quality of to our communities and the quality of our air and the quality of our water. our air and the quality of our water. our air and the quality of our water. And so that's a huge thing. But Bassrop, And so that's a huge thing. But Bassrop, And so that's a huge thing. But Bassrop, which is east of Austin, where you've which is east of Austin, where you've which is east of Austin, where you've got between like north of Austin and got between like north of Austin and got between like north of Austin and east of Austin, you've got you have the east of Austin, you've got you have the east of Austin, you've got you have the big Amazon warehouses, you have Tesla, big Amazon warehouses, you have Tesla, big Amazon warehouses, you have Tesla, AWS, you have all of that stuff and all AWS, you have all of that stuff and all AWS, you have all of that stuff and all that growth right there. And that growth right there. And that growth right there. And everything's being built out. And so everything's being built out. And so everything's being built out. And so it's like Austin proper, you know, it's it's like Austin proper, you know, it's it's like Austin proper, you know, it's between Austin and College Station where between Austin and College Station where between Austin and College Station where all that all that all that >> all that growth is. And so that's where >> all that growth is. And so that's where >> all that growth is. And so that's where a lot of the buildout is right now. a lot of the buildout is right now. a lot of the buildout is right now. >> There's also, you know, noise pollution. >> There's also, you know, noise pollution. >> There's also, you know, noise pollution. I mean, data centers put off 90 decel I mean, data centers put off 90 decel I mean, data centers put off 90 decel plus. plus. plus. >> Yeah. >> Yeah. >> Yeah. >> Light pollution. >> Light pollution. >> Light pollution. >> And unfortunately, the public sentiment, >> And unfortunately, the public sentiment, >> And unfortunately, the public sentiment, I don't know if it's unfortunately, but I don't know if it's unfortunately, but I don't know if it's unfortunately, but the fact is the public sentiment is the fact is the public sentiment is the fact is the public sentiment is against uh a lot of this kind of AI and against uh a lot of this kind of AI and against uh a lot of this kind of AI and data center stuff. They just don't want data center stuff. They just don't want data center stuff. They just don't want it. They just don't see the value ad of it. They just don't see the value ad of it. They just don't see the value ad of adding more data centers to their life. adding more data centers to their life. adding more data centers to their life. It doesn't uh and the other thing is the It doesn't uh and the other thing is the It doesn't uh and the other thing is the employment per square foot employment per square foot employment per square foot >> jobs per square foot on data center is >> jobs per square foot on data center is >> jobs per square foot on data center is really low. I mean you don't need that really low. I mean you don't need that really low. I mean you don't need that many humans to run a data center. So many humans to run a data center. So many humans to run a data center. So it's not like it's creating any jobs. is it's not like it's creating any jobs. is it's not like it's creating any jobs. is just pulling I mean I think definitely just pulling I mean I think definitely just pulling I mean I think definitely on the power side it's going to be on the power side it's going to be on the power side it's going to be >> there'll be some well maybe not for the >> there'll be some well maybe not for the >> there'll be some well maybe not for the next few years but some regulation that next few years but some regulation that next few years but some regulation that says all data centers need to be says all data centers need to be says all data centers need to be self-powered like self-powered like self-powered like >> oh wait for it >> oh wait for it >> oh wait for it >> wait for it power in go ahead >> wait for it power in go ahead >> wait for it power in go ahead >> and to your point there Pete what just >> and to your point there Pete what just >> and to your point there Pete what just happened on the 4th the day before

happened on the 4th the day before happened on the 4th the day before yesterday um all the different yesterday um all the different yesterday um all the different hyperscalers and AI got to hang out with hyperscalers and AI got to hang out with hyperscalers and AI got to hang out with their buddy President Trump in the White their buddy President Trump in the White their buddy President Trump in the White House and they all signed this rateayer House and they all signed this rateayer House and they all signed this rateayer protection pledge which basically says protection pledge which basically says protection pledge which basically says what you just said. They they all what you just said. They they all what you just said. They they all they're all on the hook. They're like they're all on the hook. They're like they're all on the hook. They're like you have to come provide and create your you have to come provide and create your you have to come provide and create your own new energy sources. You cannot do own new energy sources. You cannot do own new energy sources. You cannot do anything that's going to cause anything that's going to cause anything that's going to cause electricity rates to be hitting the electricity rates to be hitting the electricity rates to be hitting the people in the surrounding communities. people in the surrounding communities. people in the surrounding communities. >> Yeah. >> Yeah. >> Yeah. >> Um they also also a little thing that >> Um they also also a little thing that >> Um they also also a little thing that was included on there is is they kind of was included on there is is they kind of was included on there is is they kind of a social thing. It was like you need to a social thing. It was like you need to a social thing. It was like you need to hire people in your local community to hire people in your local community to hire people in your local community to be working at these be working at these be working at these >> places. So those three people working at >> places. So those three people working at >> places. So those three people working at the data center need to be local. the data center need to be local. the data center need to be local. >> Yeah. Well, because I remember reading >> Yeah. Well, because I remember reading >> Yeah. Well, because I remember reading the blurb. I mean, it's probably the blurb. I mean, it's probably the blurb. I mean, it's probably exaggerated, but the the big the shock exaggerated, but the the big the shock exaggerated, but the the big the shock value takeaway that now self-powered is value takeaway that now self-powered is value takeaway that now self-powered is the only way to go. I mean, you know, we the only way to go. I mean, you know, we the only way to go. I mean, you know, we already know this, the hyperscalers already know this, the hyperscalers already know this, the hyperscalers don't want to take a dependency on don't want to take a dependency on don't want to take a dependency on >> public grids. You know, they can't take >> public grids. You know, they can't take >> public grids. You know, they can't take a dependency on the public grid because a dependency on the public grid because a dependency on the public grid because the public grid's 50 years old, the public grid's 50 years old, the public grid's 50 years old, >> right?

>> right? >> right? >> And it needs a lot of work. So they're >> And it needs a lot of work. So they're >> And it needs a lot of work. So they're like, "Well, we'll just build our data like, "Well, we'll just build our data like, "Well, we'll just build our data center next to this new power plant center next to this new power plant center next to this new power plant behind the meter and call it a day." And behind the meter and call it a day." And behind the meter and call it a day." And and that's also why you're seeing a lot and that's also why you're seeing a lot and that's also why you're seeing a lot of interest in small nuclear reactors of interest in small nuclear reactors of interest in small nuclear reactors and some of these other longer term kind and some of these other longer term kind and some of these other longer term kind of sol. of sol. of sol. >> It reminds me of It reminds me of if >> It reminds me of It reminds me of if >> It reminds me of It reminds me of if you've ever noticed anytime you see a you've ever noticed anytime you see a you've ever noticed anytime you see a Home Depot, you'll see a Chili's nearby. Home Depot, you'll see a Chili's nearby. Home Depot, you'll see a Chili's nearby. >> What? >> What? >> What? >> Like Yeah. Yeah. It's the strangest >> Like Yeah. Yeah. It's the strangest >> Like Yeah. Yeah. It's the strangest thing. There's there's always a Chili. thing. There's there's always a Chili. thing. There's there's always a Chili. This is this is what's happening with This is this is what's happening with This is this is what's happening with the data centers like the data centers the data centers like the data centers the data centers like the data centers are really close to a substation or are really close to a substation or are really close to a substation or electrical power you know so I'm like w electrical power you know so I'm like w electrical power you know so I'm like w in that backdrop area in that backdrop area in that backdrop area the all you know because of Tesla and the all you know because of Tesla and the all you know because of Tesla and Amazon and all of that buildout all the Amazon and all of that buildout all the Amazon and all of that buildout all the distribution warehouses all out that way distribution warehouses all out that way distribution warehouses all out that way >> today um you know I don't I don't see >> today um you know I don't I don't see >> today um you know I don't I don't see the employment being driven you're right the employment being driven you're right the employment being driven you're right Pete by the data center buildout that's Pete by the data center buildout that's Pete by the data center buildout that's close to close by but the the housing close to close by but the the housing close to close by but the the housing development is going up just as fast as development is going up just as fast as development is going up just as fast as all of the industrial warehouses and and all of the industrial warehouses and and all of the industrial warehouses and and it's housing.

it's housing. it's housing. >> It's massively happening. It's happening >> It's massively happening. It's happening >> It's massively happening. It's happening at such a fast pace. There's also a at such a fast pace. There's also a at such a fast pace. There's also a really cool airport out in Bassrop that really cool airport out in Bassrop that really cool airport out in Bassrop that is like an innovation center is like an innovation center is like an innovation center >> where they have like big tech um >> where they have like big tech um >> where they have like big tech um robotics and drone and um supercomputing robotics and drone and um supercomputing robotics and drone and um supercomputing and all of that because they want to be and all of that because they want to be and all of that because they want to be near near near Tesla and Amazon and all of you know all Tesla and Amazon and all of you know all Tesla and Amazon and all of you know all of that. So you're starting to see some of that. So you're starting to see some of that. So you're starting to see some little patterns here where where you little patterns here where where you little patterns here where where you have a data warehouse build out you know have a data warehouse build out you know have a data warehouse build out you know you're going to have a bunch of other you're going to have a bunch of other you're going to have a bunch of other businesses that are going to be nearby. businesses that are going to be nearby. businesses that are going to be nearby. So yeah, So yeah, So yeah, >> it might be good from an business >> it might be good from an business >> it might be good from an business perspective or even just a expansion perspective or even just a expansion perspective or even just a expansion perspective to start following that perspective to start following that perspective to start following that >> Azure city. So it'll be the Azure data >> Azure city. So it'll be the Azure data >> Azure city. So it'll be the Azure data center with the Azure Chili's and the center with the Azure Chili's and the center with the Azure Chili's and the >> I want to go to the Azure >> I want to go to the Azure >> I want to go to the Azure >> marker shop, you know, and >> marker shop, you know, and >> marker shop, you know, and >> oh my god, is this that like that movie >> oh my god, is this that like that movie >> oh my god, is this that like that movie with Wesley Snipes and Stallone in the with Wesley Snipes and Stallone in the with Wesley Snipes and Stallone in the future like Taco Bell won the restaurant future like Taco Bell won the restaurant future like Taco Bell won the restaurant wars or something? wars or something? wars or something? >> That's right. That's right. >> That's right. That's right. >> That's right. That's right. >> Every >> Every >> Every restaurant's called Taco Bell.

restaurant's called Taco Bell. restaurant's called Taco Bell. Rob, you want a low ste next to all of Rob, you want a low ste next to all of Rob, you want a low ste next to all of the the the >> Yes, that's right. >> Yes, that's right. >> Yes, that's right. >> The Bies now. >> The Bies now. >> The Bies now. >> There's plenty of up that way. So, >> There's plenty of up that way. So, >> There's plenty of up that way. So, >> yeah. My BES experience when I was in >> yeah. My BES experience when I was in >> yeah. My BES experience when I was in Texas recently. My first Bies Texas recently. My first Bies Texas recently. My first Bies experience. experience. experience. >> There is a Bass Drop Bies, by the way. >> There is a Bass Drop Bies, by the way. >> There is a Bass Drop Bies, by the way. >> You probably sure there is. Seemed like >> You probably sure there is. Seemed like >> You probably sure there is. Seemed like they were everywhere when I was driving. they were everywhere when I was driving. they were everywhere when I was driving. >> What did Baytown all the time though? >> What did Baytown all the time though? >> What did Baytown all the time though? Yeah. Yeah. Yeah. >> Yeah, Pete, that's an amazing place. >> Yeah, Pete, that's an amazing place. >> Yeah, Pete, that's an amazing place. What did you get though when you were What did you get though when you were What did you get though when you were there? there? there? >> I got Well, I got lots of different >> I got Well, I got lots of different >> I got Well, I got lots of different things. Well, I got a brisket sandwich things. Well, I got a brisket sandwich things. Well, I got a brisket sandwich for lunch cuz I felt like that was for lunch cuz I felt like that was for lunch cuz I felt like that was obligated. And then I got some uh I got obligated. And then I got some uh I got obligated. And then I got some uh I got some lime and salt peanuts. Bies lime some lime and salt peanuts. Bies lime some lime and salt peanuts. Bies lime and salt peanuts. And I got uh pretty and salt peanuts. And I got uh pretty and salt peanuts. And I got uh pretty large diet coke. Like a pretty big one. large diet coke. Like a pretty big one. large diet coke. Like a pretty big one. Um Um Um >> you didn't get the Bucky nuggets. The >> you didn't get the Bucky nuggets. The >> you didn't get the Bucky nuggets. The >> No, we got we got a bag of Bucky >> No, we got we got a bag of Bucky >> No, we got we got a bag of Bucky nuggets. It's actually in the pantry. nuggets. It's actually in the pantry. nuggets. It's actually in the pantry. >> Some cheese nuggets. I don't know. >> Some cheese nuggets. I don't know. >> Some cheese nuggets. I don't know. Nuggies. Buggies. I don't know. Bies. Nuggies. Buggies. I don't know. Bies. Nuggies. Buggies. I don't know. Bies. Nugies. Yeah, it was it was uh it was Nugies. Yeah, it was it was uh it was Nugies. Yeah, it was it was uh it was definitely and of course I got some gas definitely and of course I got some gas definitely and of course I got some gas at one of the uh 185 gas pumps out at one of the uh 185 gas pumps out at one of the uh 185 gas pumps out front, you know. So uh front, you know. So uh front, you know. So uh >> you know that's um Aggie owned, right?

>> you know that's um Aggie owned, right? >> you know that's um Aggie owned, right? >> No, they Oh, also they also had the what >> No, they Oh, also they also had the what >> No, they Oh, also they also had the what were they? They like have the roasted were they? They like have the roasted were they? They like have the roasted nuts. The roasted nuts sticks makes it nuts. The roasted nuts sticks makes it nuts. The roasted nuts sticks makes it smell real good. smell real good. smell real good. >> Yeah. >> Yeah. >> Yeah. >> All that. No, it was pretty impressive. >> All that. No, it was pretty impressive. >> All that. No, it was pretty impressive. Impressive as a as a stop on the Impressive as a as a stop on the Impressive as a as a stop on the highway, but then of course Yeah. As highway, but then of course Yeah. As highway, but then of course Yeah. As soon as you leave one, there's a sign soon as you leave one, there's a sign soon as you leave one, there's a sign for the next one. Yeah, but you're for the next one. Yeah, but you're for the next one. Yeah, but you're right. You always hear the right. You always hear the right. You always hear the >> You can't go in there without spending >> You can't go in there without spending >> You can't go in there without spending $50. $50. $50. >> For sure. >> For sure. >> For sure. >> It's like Costco. >> It's like Costco. >> It's like Costco. >> It's like Costco. >> It's like Costco. >> It's like Costco. >> I don't know what happened. I just spent >> I don't know what happened. I just spent >> I don't know what happened. I just spent $400. I don't know why. $400. I don't know why. $400. I don't know why. >> I came in to get some paper towels and I >> I came in to get some paper towels and I >> I came in to get some paper towels and I left with a couple bars of gold, you left with a couple bars of gold, you left with a couple bars of gold, you know. know. know. >> Do they have Do they have any in um >> Do they have Do they have any in um >> Do they have Do they have any in um crossing the border there in like one in crossing the border there in like one in crossing the border there in like one in Lafayette? Lafayette? Lafayette? >> Oh, okay. >> Oh, okay. >> Oh, okay. >> That's cool. >> That's cool. >> That's cool. >> Where do you live? >> Where do you live? >> Where do you live? >> I'm in Belleview, Washington. I'm up >> I'm in Belleview, Washington. I'm up >> I'm in Belleview, Washington. I'm up here in the Pacific Northwest. So, here in the Pacific Northwest. So, here in the Pacific Northwest. So, >> got it. >> got it. >> got it. >> I was in a strange land in Texas. >> I was in a strange land in Texas. >> I was in a strange land in Texas. It was fun. It was fun. It was fun. >> I can't believe how close you were. I >> I can't believe how close you were. I >> I can't believe how close you were. I was like, Pete, you're in my was like, Pete, you're in my was like, Pete, you're in my >> should have We should have had So, Rob >> should have We should have had So, Rob >> should have We should have had So, Rob and I had some catfish sandwiches. We and I had some catfish sandwiches. We and I had some catfish sandwiches. We should have had you over there for that.

should have had you over there for that. should have had you over there for that. >> Oh, I'll pass on that. >> Oh, I'll pass on that. >> Oh, I'll pass on that. >> Pete had a poboy. >> Pete had a poboy. >> Pete had a poboy. >> Had pobo. Catfish po. >> Had pobo. Catfish po. >> Had pobo. Catfish po. >> Oh my goodness. >> Oh my goodness. >> Oh my goodness. >> I know. >> I know. >> I know. >> Went native there for a few days. >> Went native there for a few days. >> Went native there for a few days. >> But you're right. you know, you because >> But you're right. you know, you because >> But you're right. you know, you because I I feel like the the the IoT Coffee I I feel like the the the IoT Coffee I I feel like the the the IoT Coffee Talk headquarters is in Bandera out at Talk headquarters is in Bandera out at Talk headquarters is in Bandera out at her ranch, you know. her ranch, you know. her ranch, you know. >> Oh, sure. If you want it to be, >> Oh, sure. If you want it to be, >> Oh, sure. If you want it to be, >> it we should all get together. We should >> it we should all get together. We should >> it we should all get together. We should have like a summit or some kind of have like a summit or some kind of have like a summit or some kind of event. event. event. >> Yeah. >> Yeah. >> Yeah. >> I feel like we need like we need to have >> I feel like we need like we need to have >> I feel like we need like we need to have some kind of event. If you've ever been some kind of event. If you've ever been some kind of event. If you've ever been on IoT Coffee Talk, if you've ever been on IoT Coffee Talk, if you've ever been on IoT Coffee Talk, if you've ever been on any of the podcasts that we get a on any of the podcasts that we get a on any of the podcasts that we get a full collective together and we have full collective together and we have full collective together and we have some kind of like reunion somewhere, some kind of like reunion somewhere, some kind of like reunion somewhere, >> maybe. >> maybe. >> maybe. >> Yeah, absolutely. >> Yeah, absolutely. >> Yeah, absolutely. >> And then maybe we do some live events >> And then maybe we do some live events >> And then maybe we do some live events and do something fun and and do something fun and and do something fun and >> discussions. >> discussions. >> discussions. >> Yeah. Everybody will fly into Banderas >> Yeah. Everybody will fly into Banderas >> Yeah. Everybody will fly into Banderas International Airport, you know, and International Airport, you know, and International Airport, you know, and >> I think it's the last best place in >> I think it's the last best place in >> I think it's the last best place in Texas. Texas. Texas. >> It might be. >> It might be. >> It might be. >> You know, it's, you know, it's um their >> You know, it's, you know, it's um their >> You know, it's, you know, it's um their um tagline is cowboy capital of the um tagline is cowboy capital of the um tagline is cowboy capital of the world.

world. world. >> Oh, I didn't know that. >> Oh, I didn't know that. >> Oh, I didn't know that. >> Wow. >> Wow. >> Wow. >> That's something. That's for sure. >> That's something. That's for sure. >> That's something. That's for sure. >> You know, well, I've been seeing a lot >> You know, well, I've been seeing a lot >> You know, well, I've been seeing a lot of cowboys around Houston lately because of cowboys around Houston lately because of cowboys around Houston lately because the rodeo is now going on. And so, the rodeo is now going on. And so, the rodeo is now going on. And so, that's a big deal. And so every Friday that's a big deal. And so every Friday that's a big deal. And so every Friday morning like you know you saw Ian there morning like you know you saw Ian there morning like you know you saw Ian there go to this this tech place they built go to this this tech place they built go to this this tech place they built downtown called the ION and it's you downtown called the ION and it's you downtown called the ION and it's you know they do a deal every Friday morning know they do a deal every Friday morning know they do a deal every Friday morning trying to and so we kind of we mentored trying to and so we kind of we mentored trying to and so we kind of we mentored founders and startups and stuff like founders and startups and stuff like founders and startups and stuff like that. I had just noticed this morning at that. I had just noticed this morning at that. I had just noticed this morning at this event there were like a sizable this event there were like a sizable this event there were like a sizable number of people wearing cowboy hats and number of people wearing cowboy hats and number of people wearing cowboy hats and boots. boots. boots. >> They're all ready to go to the rodeo >> They're all ready to go to the rodeo >> They're all ready to go to the rodeo tonight. Huh? tonight. Huh? tonight. Huh? >> Yeah. Absolutely. Yeah. >> Yeah. Absolutely. Yeah. >> Yeah. Absolutely. Yeah. >> I have yours on. It's >> I have yours on. It's >> I have yours on. It's >> a big deal. >> a big deal. >> a big deal. >> You know what? I know you got it. It's >> You know what? I know you got it. It's >> You know what? I know you got it. It's right there. I got a couple. I bet I got right there. I got a couple. I bet I got right there. I got a couple. I bet I got a couple. Let me a couple. Let me a couple. Let me >> Well, do you have tickets to any of the >> Well, do you have tickets to any of the >> Well, do you have tickets to any of the um shows this year? You probably can't um shows this year? You probably can't um shows this year? You probably can't hear me now, but um they the San Antonio hear me now, but um they the San Antonio hear me now, but um they the San Antonio just wrapped up. It goes Fort Worth just wrapped up. It goes Fort Worth just wrapped up. It goes Fort Worth rodeo and then San Antonio, now it's rodeo and then San Antonio, now it's rodeo and then San Antonio, now it's Houston.

Houston. Houston. >> Yeah. Yeah. She's trying to create the >> Yeah. Yeah. She's trying to create the >> Yeah. Yeah. She's trying to create the illusion that they have all something in illusion that they have all something in illusion that they have all something in common common common >> as opposed to the world's largest rodeo >> as opposed to the world's largest rodeo >> as opposed to the world's largest rodeo lives rode on the planet. is definitely lives rode on the planet. is definitely lives rode on the planet. is definitely this the hub, but they all have great this the hub, but they all have great this the hub, but they all have great like concerts. Like that's the thing is like concerts. Like that's the thing is like concerts. Like that's the thing is they have great concerts. they have great concerts. they have great concerts. >> Yeah. So, guess who Kathy and I are >> Yeah. So, guess who Kathy and I are >> Yeah. So, guess who Kathy and I are going to go see? Not tomorrow Saturday, going to go see? Not tomorrow Saturday, going to go see? Not tomorrow Saturday, but the following Saturday. but the following Saturday. but the following Saturday. >> Kelly Clarkson. >> Kelly Clarkson. >> Kelly Clarkson. >> Oh, she's going to be amazing. >> Oh, she's going to be amazing. >> Oh, she's going to be amazing. >> Love Kelly Clarkson. Fantastic. >> Love Kelly Clarkson. Fantastic. >> Love Kelly Clarkson. Fantastic. >> And whenever I say that name, I just >> And whenever I say that name, I just >> And whenever I say that name, I just think of the movie, you know, think of the movie, you know, think of the movie, you know, you know, Steve Carell. Remember they you know, Steve Carell. Remember they you know, Steve Carell. Remember they waxing his chest and they're like rip? waxing his chest and they're like rip? waxing his chest and they're like rip? He goes, "Kelly Harson, >> 40-year-old version." >> 40-year-old version." >> H Yes. By the way, speaking of events, >> H Yes. By the way, speaking of events, >> H Yes. By the way, speaking of events, PSA, so Rob and I and actually Leonard, PSA, so Rob and I and actually Leonard, PSA, so Rob and I and actually Leonard, we will be in San Diego at the March we will be in San Diego at the March we will be in San Diego at the March 24th through the 26th for Aji San Diego. 24th through the 26th for Aji San Diego. 24th through the 26th for Aji San Diego. So if people have not yet gotten their So if people have not yet gotten their So if people have not yet gotten their tickets, uh can see you down there. And tickets, uh can see you down there. And tickets, uh can see you down there. And we have day passes available, too. Days we have day passes available, too. Days we have day passes available, too. Days of fun.

of fun. of fun. >> Yes, Stephanie, you are welcome. We will >> Yes, Stephanie, you are welcome. We will >> Yes, Stephanie, you are welcome. We will roll out the red carpet for you. roll out the red carpet for you. roll out the red carpet for you. >> Yeah, I am. Um, I'm trying to make I'm >> Yeah, I am. Um, I'm trying to make I'm >> Yeah, I am. Um, I'm trying to make I'm trying to coordinate some things on the trying to coordinate some things on the trying to coordinate some things on the back end to make it work. We'll see. back end to make it work. We'll see. back end to make it work. We'll see. We'll see. We'll see. We'll see. >> Lots of qual lots of Qualcommers down >> Lots of qual lots of Qualcommers down >> Lots of qual lots of Qualcommers down there. So, there. So, there. So, >> yeah, absolutely. >> yeah, absolutely. >> yeah, absolutely. >> Yes. Unfortunately, all the people that >> Yes. Unfortunately, all the people that >> Yes. Unfortunately, all the people that I'm trying to coordinate with are at I'm trying to coordinate with are at I'm trying to coordinate with are at we're just getting back from Mobile we're just getting back from Mobile we're just getting back from Mobile World Congress. So, World Congress. So, World Congress. So, >> yeah. No, everyone's at MWC and all that >> yeah. No, everyone's at MWC and all that >> yeah. No, everyone's at MWC and all that stuff. And in Embedded World, I'm flying stuff. And in Embedded World, I'm flying stuff. And in Embedded World, I'm flying out to Nerburgg on Saturday for World. out to Nerburgg on Saturday for World. out to Nerburgg on Saturday for World. So, So, So, >> that'll be a good one. That'll be a good >> that'll be a good one. That'll be a good >> that'll be a good one. That'll be a good one. There's a lot of people one. There's a lot of people one. There's a lot of people >> busy month of things, but >> busy month of things, but >> busy month of things, but >> March is like swamped like >> March is like swamped like >> March is like swamped like >> Yeah, March is a little little crunchy, >> Yeah, March is a little little crunchy, >> Yeah, March is a little little crunchy, a little crunchy, but uh April, I think a little crunchy, but uh April, I think a little crunchy, but uh April, I think we're at Micro Electronics in Austin. we're at Micro Electronics in Austin. we're at Micro Electronics in Austin. We'll be back in Texas and Micro We'll be back in Texas and Micro We'll be back in Texas and Micro Electronics Austin and April will be Electronics Austin and April will be Electronics Austin and April will be there. I won't be there, but we'll have there. I won't be there, but we'll have there. I won't be there, but we'll have >> the foundation will be there. So, >> the foundation will be there. So, >> the foundation will be there. So, >> that one looks good. And Smart Cities >> that one looks good. And Smart Cities >> that one looks good. And Smart Cities Connect is next week in Raleigh. And Connect is next week in Raleigh. And Connect is next week in Raleigh. And then the week after that is Nvidia GTC. then the week after that is Nvidia GTC. then the week after that is Nvidia GTC. >> Yeah, the GTC. >> Yeah, the GTC. >> Yeah, the GTC. So there's just a lot going on in March So there's just a lot going on in March So there's just a lot going on in March for tech, for tech, for tech, >> a lot of stuff. >> a lot of stuff. >> a lot of stuff. >> And I and one of our IoT Coffee Talk >> And I and one of our IoT Coffee Talk >> And I and one of our IoT Coffee Talk mates, Bill Pew, I saw he's going to be mates, Bill Pew, I saw he's going to be mates, Bill Pew, I saw he's going to be speaking at what is it? Connect Connect speaking at what is it? Connect Connect speaking at what is it? Connect Connect America is connect America is connect America is connect >> Connect America and he's going to be at >> Connect America and he's going to be at >> Connect America and he's going to be at Smart Cities Connect next week as well.

Smart Cities Connect next week as well. Smart Cities Connect next week as well. That the the Connect America is in That the the Connect America is in That the the Connect America is in April. April. April. >> Okay. I just saw that. >> Okay. I just saw that. >> Okay. I just saw that. >> I've been assisting and helping with >> I've been assisting and helping with >> I've been assisting and helping with some of the PR and marketing with that some of the PR and marketing with that some of the PR and marketing with that they have going on with those events. they have going on with those events. they have going on with those events. And there's just a lot going on. But And there's just a lot going on. But And there's just a lot going on. But really cool stuff going on in um Kerry, really cool stuff going on in um Kerry, really cool stuff going on in um Kerry, town of Kerry. town of Kerry. town of Kerry. >> Oh, and then of course they've already >> Oh, and then of course they've already >> Oh, and then of course they've already made some big announcements on some of made some big announcements on some of made some big announcements on some of the work and activities that they're the work and activities that they're the work and activities that they're doing with Frisco, Texas. doing with Frisco, Texas. doing with Frisco, Texas. >> Um so yeah, there's some really cool >> Um so yeah, there's some really cool >> Um so yeah, there's some really cool stuff and uh doing putting together stuff and uh doing putting together stuff and uh doing putting together these operational dashboards, digital these operational dashboards, digital these operational dashboards, digital twin technology with these cities is is twin technology with these cities is is twin technology with these cities is is essentially a lot of the things that essentially a lot of the things that essentially a lot of the things that Bill is working on. So it's cool. Bill is working on. So it's cool. Bill is working on. So it's cool. >> That's awesome. Well, I might have to go >> That's awesome. Well, I might have to go >> That's awesome. Well, I might have to go to the Connect America thing. That's up to the Connect America thing. That's up to the Connect America thing. That's up in Dallas. in Dallas. in Dallas. >> Um, yes. It's in the Dallas area. >> Um, yes. It's in the Dallas area. >> Um, yes. It's in the Dallas area. >> Okay. >> Okay. >> Okay. >> That's in April. I'll have to look it >> That's in April. I'll have to look it >> That's in April. I'll have to look it up, but it's called Connect. Is it up, but it's called Connect. Is it up, but it's called Connect. Is it connected America or Connect America? connected America or Connect America? connected America or Connect America? >> Something like that. Yeah. >> Something like that. Yeah. >> Something like that. Yeah. >> You'll have to send it. >> You'll have to send it. >> You'll have to send it. >> I saw the post from Bill and it's like >> I saw the post from Bill and it's like >> I saw the post from Bill and it's like click here to get your free pass. click here to get your free pass. click here to get your free pass. >> Yeah. Yeah. If you're a speaker, then >> Yeah. Yeah. If you're a speaker, then >> Yeah. Yeah. If you're a speaker, then they'll give you a little special link they'll give you a little special link they'll give you a little special link to to to >> I'm gonna get my free pass and then I >> I'm gonna get my free pass and then I >> I'm gonna get my free pass and then I can just drive up there.

can just drive up there. can just drive up there. >> Rob, I'll pick you up. >> Rob, I'll pick you up. >> Rob, I'll pick you up. >> Okay. That sounds like a pleasure. >> Okay. That sounds like a pleasure. >> Okay. That sounds like a pleasure. >> Yeah, it's a good it's a good event and >> Yeah, it's a good it's a good event and >> Yeah, it's a good it's a good event and a lot of city CIOS, a lot of Dallas a lot of city CIOS, a lot of Dallas a lot of city CIOS, a lot of Dallas folks there, too, like leaders, you folks there, too, like leaders, you folks there, too, like leaders, you know. know. know. >> Yes. Be there. Yeah. >> Yes. Be there. Yeah. >> Yes. Be there. Yeah. >> Yes. What's her name? Sanders. >> Yes. What's her name? Sanders. >> Yes. What's her name? Sanders. >> What is it? The North Texas Alliance >> What is it? The North Texas Alliance >> What is it? The North Texas Alliance people. They'll be there. people. They'll be there. people. They'll be there. >> Okay. >> Okay. >> Okay. >> Um there's also a Dallas I think Dallas >> Um there's also a Dallas I think Dallas >> Um there's also a Dallas I think Dallas Alliance. And it's all the Alliance. And it's all the Alliance. And it's all the >> city operations. Um you know, people >> city operations. Um you know, people >> city operations. Um you know, people that are part of that. Yeah. that are part of that. Yeah. that are part of that. Yeah. >> That's so cool. >> That's so cool. >> That's so cool. >> Yeah. There's so many of these. Uh, I >> Yeah. There's so many of these. Uh, I >> Yeah. There's so many of these. Uh, I would say every kind of industry would say every kind of industry would say every kind of industry vertical show now is a tech show, you vertical show now is a tech show, you vertical show now is a tech show, you know. So, every show is a tech show. LA know. So, every show is a tech show. LA know. So, every show is a tech show. LA Auto Show is a tech show, you know. Um, Auto Show is a tech show, you know. Um, Auto Show is a tech show, you know. Um, all these things. all these things. all these things. >> We're also going to be at Automate in >> We're also going to be at Automate in >> We're also going to be at Automate in Chicago in June. We're going to do Chicago in June. We're going to do Chicago in June. We're going to do >> I love that. Yeah, I saw that one. >> I love that. Yeah, I saw that one. >> I love that. Yeah, I saw that one. >> There's also AI Plus Expo in Washington >> There's also AI Plus Expo in Washington >> There's also AI Plus Expo in Washington DC in May, which is uh we have our new DC in May, which is uh we have our new DC in May, which is uh we have our new defense working group. We're going to do defense working group. We're going to do defense working group. We're going to do a panel there. a panel there. a panel there. >> Things. But it's all every industry >> Things. But it's all every industry >> Things. But it's all every industry vertical. you're just going to be all vertical. you're just going to be all vertical. you're just going to be all over. over. over. >> Well, you know, AJI is all over. So, we >> Well, you know, AJI is all over. So, we >> Well, you know, AJI is all over. So, we get pulled in lots of directions and you get pulled in lots of directions and you get pulled in lots of directions and you know, every week we get invited to go know, every week we get invited to go know, every week we get invited to go whatever. Fortunately, we staffed up a whatever. Fortunately, we staffed up a whatever. Fortunately, we staffed up a little bit so we can cover more ground little bit so we can cover more ground little bit so we can cover more ground and this is not just me flying around and this is not just me flying around and this is not just me flying around everywhere. So, uh, everywhere. So, uh, everywhere. So, uh, >> divide and conquer >> divide and conquer >> divide and conquer >> engine is so hot right now.

>> engine is so hot right now. >> engine is so hot right now. >> It is. >> It is. >> It is. >> Yeah. Well, >> Yeah. Well, >> Yeah. Well, >> I have my shout out. So, I have my AutoX >> I have my shout out. So, I have my AutoX >> I have my shout out. So, I have my AutoX Innovator Awards and Innovator Awards and Innovator Awards and >> Yeah. What's going on with that? >> Yeah. What's going on with that? >> Yeah. What's going on with that? >> This is the third edition of this. We >> This is the third edition of this. We >> This is the third edition of this. We don't do this every year. So, don't do this every year. So, don't do this every year. So, >> um it is focused on physical AI, edge >> um it is focused on physical AI, edge >> um it is focused on physical AI, edge AI, robotics, um and automotive AI, robotics, um and automotive AI, robotics, um and automotive technologies. So, um we had this is technologies. So, um we had this is technologies. So, um we had this is probably the most submissions I've seen probably the most submissions I've seen probably the most submissions I've seen um with this awards program. So, I think um with this awards program. So, I think um with this awards program. So, I think there's a lot of excitement, a lot of there's a lot of excitement, a lot of there's a lot of excitement, a lot of interest in all of the innovation that's interest in all of the innovation that's interest in all of the innovation that's taking place in those sectors. And taking place in those sectors. And taking place in those sectors. And there's a lot of overlap by the way. there's a lot of overlap by the way. there's a lot of overlap by the way. There's a lot of autonomous systems. There's a lot of autonomous systems. There's a lot of autonomous systems. >> Yeah. you know, robotics and then the >> Yeah. you know, robotics and then the >> Yeah. you know, robotics and then the industrial space and manufacturing and industrial space and manufacturing and industrial space and manufacturing and automotive. So, there's a lot of automotive. So, there's a lot of automotive. So, there's a lot of overlap. So, that press release goes out overlap. So, that press release goes out overlap. So, that press release goes out next Wednesday and you'll see all the next Wednesday and you'll see all the next Wednesday and you'll see all the award winners from that program. award winners from that program. award winners from that program. >> If you can find some robots that can >> If you can find some robots that can >> If you can find some robots that can fold the laundry and carry the laundry, fold the laundry and carry the laundry, fold the laundry and carry the laundry, that's really the that's really the that's really the >> That's what we're looking for. >> That's what we're looking for. >> That's what we're looking for. >> By the way, Pete, I was looking at your >> By the way, Pete, I was looking at your >> By the way, Pete, I was looking at your list of partners and there are some list of partners and there are some list of partners and there are some people that are award winners that are people that are award winners that are people that are award winners that are EDAI partners. So I was like EDAI partners. So I was like EDAI partners. So I was like >> we have we have now I think 60 65 >> we have we have now I think 60 65 >> we have we have now I think 60 65 different partners. I mean it's uh different partners. I mean it's uh different partners. I mean it's uh >> that's amazing.

>> that's amazing. >> that's amazing. >> It's yeah we get a lot of uh startups >> It's yeah we get a lot of uh startups >> It's yeah we get a lot of uh startups now and uh new f we just had Avanet we now and uh new f we just had Avanet we now and uh new f we just had Avanet we announced this week as announced this week as announced this week as >> that's big one. >> that's big one. >> that's big one. >> Good big one worldwide. So um >> Good big one worldwide. So um >> Good big one worldwide. So um >> Oh that's good. >> Oh that's good. >> Oh that's good. >> It's pretty cool. So yeah know it's uh >> It's pretty cool. So yeah know it's uh >> It's pretty cool. So yeah know it's uh the whole physical AI someone uses the the whole physical AI someone uses the the whole physical AI someone uses the term embodied AI which I don't know if term embodied AI which I don't know if term embodied AI which I don't know if I'm really a fan of I'm really a fan of I'm really a fan of >> but I know what that means. >> but I know what that means. >> but I know what that means. You know what that means? Okay. You're You know what that means? Okay. You're You know what that means? Okay. You're the one. the one. the one. >> Well, robots, people are in the robotic >> Well, robots, people are in the robotic >> Well, robots, people are in the robotic space, they talk when they say the word space, they talk when they say the word space, they talk when they say the word embodied, they actually mean it's like embodied, they actually mean it's like embodied, they actually mean it's like literally it could be just a robot arm literally it could be just a robot arm literally it could be just a robot arm or cucka robot or whatever. or cucka robot or whatever. or cucka robot or whatever. >> It's in the body. >> It's in the body. >> It's in the body. >> But that's what they mean is embodied. >> But that's what they mean is embodied. >> But that's what they mean is embodied. And in China, that's all they say is And in China, that's all they say is And in China, that's all they say is embodied when they refer to physical. embodied when they refer to physical. embodied when they refer to physical. >> Yeah. Yeah. Maybe that's why because >> Yeah. Yeah. Maybe that's why because >> Yeah. Yeah. Maybe that's why because culturally like that's just the term culturally like that's just the term culturally like that's just the term that they use. Yeah. that they use. Yeah. that they use. Yeah. And then you know like specific And then you know like specific And then you know like specific industries it's you know it's AGR and industries it's you know it's AGR and industries it's you know it's AGR and AMR and you know there's a lot of the AMR and you know there's a lot of the AMR and you know there's a lot of the acronies that are coming into that. acronies that are coming into that. acronies that are coming into that. Yeah. Yeah. Yeah. >> Well like in the robotic space what I >> Well like in the robotic space what I >> Well like in the robotic space what I learned was there's the the movable learned was there's the the movable learned was there's the the movable robots which are called something and robots which are called something and robots which are called something and then there's the robotic arms which are then there's the robotic arms which are then there's the robotic arms which are called something else and then you can called something else and then you can called something else and then you can combine those two together. So you have combine those two together. So you have combine those two together. So you have a movable robot with an arm a movable robot with an arm a movable robot with an arm >> and that's something else. So there's >> and that's something else. So there's >> and that's something else. So there's like a lots of different um Lego like a lots of different um Lego like a lots of different um Lego permutations going on.

permutations going on. permutations going on. >> It is evolving. And you know what? At at >> It is evolving. And you know what? At at >> It is evolving. And you know what? At at C, C, C, >> not all just humanoid with like a smiley >> not all just humanoid with like a smiley >> not all just humanoid with like a smiley face. face. face. >> And you know what, a lot of the stuff we >> And you know what, a lot of the stuff we >> And you know what, a lot of the stuff we saw at CES, there was someone in the saw at CES, there was someone in the saw at CES, there was someone in the background that was managing all that. background that was managing all that. background that was managing all that. So yeah, it was another thing. But there So yeah, it was another thing. But there So yeah, it was another thing. But there was a lot of was a lot of was a lot of >> there was a lot of discussion and hype >> there was a lot of discussion and hype >> there was a lot of discussion and hype around just tactile around just tactile around just tactile um improvements. um improvements. um improvements. >> Yes, dexterity is a hot topic. >> Yes, dexterity is a hot topic. >> Yes, dexterity is a hot topic. >> Dexterity and tact like that is like I >> Dexterity and tact like that is like I >> Dexterity and tact like that is like I think that that was one of the areas think that that was one of the areas think that that was one of the areas that I saw a lot of just that I saw a lot of just that I saw a lot of just >> innovation around. So yeah, >> innovation around. So yeah, >> innovation around. So yeah, >> we have analog devices is one of our new >> we have analog devices is one of our new >> we have analog devices is one of our new partners and they are very invested if partners and they are very invested if partners and they are very invested if you think about it makes sense um you think about it makes sense um you think about it makes sense um >> in the sensor world and dexterity world >> in the sensor world and dexterity world >> in the sensor world and dexterity world and pressure sensing and uh and pressure sensing and uh and pressure sensing and uh >> how do you you know the gripping and the >> how do you you know the gripping and the >> how do you you know the gripping and the touching and the all that stuff that has touching and the all that stuff that has touching and the all that stuff that has to be that's a a big tech problem. to be that's a a big tech problem. to be that's a a big tech problem. >> It's a huge tech problem. I remember >> It's a huge tech problem. I remember >> It's a huge tech problem. I remember watching a I was at a agriculture show a watching a I was at a agriculture show a watching a I was at a agriculture show a few years ago in Eastern Washington and few years ago in Eastern Washington and few years ago in Eastern Washington and it was like it was a really sad uh it was like it was a really sad uh it was like it was a really sad uh session they did. It was a postmortem on session they did. It was a postmortem on session they did. It was a postmortem on this robotic apple picking company this robotic apple picking company this robotic apple picking company >> and that that didn't make it >> and that that didn't make it >> and that that didn't make it >> the apple >> the apple >> the apple >> that didn't make it. And you're watching >> that didn't make it. And you're watching >> that didn't make it. And you're watching the video and I was so blown away. I was the video and I was so blown away. I was the video and I was so blown away. I was so impressed. You know, they're going so impressed. You know, they're going so impressed. You know, they're going down the line. It's like and you see down the line. It's like and you see down the line. It's like and you see lights flashing and computer vision and lights flashing and computer vision and lights flashing and computer vision and picking apples and stuff like that picking apples and stuff like that picking apples and stuff like that because that they have a huge labor because that they have a huge labor because that they have a huge labor problem in agriculture. Um and and I was problem in agriculture. Um and and I was problem in agriculture. Um and and I was like like like >> a problem to solve.

>> a problem to solve. >> a problem to solve. >> Yeah. Right. It had a problem to solve. >> Yeah. Right. It had a problem to solve. >> Yeah. Right. It had a problem to solve. Right. And I was so impressed and I was Right. And I was so impressed and I was Right. And I was so impressed and I was and they were like is it not fast enough and they were like is it not fast enough and they were like is it not fast enough or whatever you know and it wasn't quite or whatever you know and it wasn't quite or whatever you know and it wasn't quite as fast as humans doing it but the as fast as humans doing it but the as fast as humans doing it but the problem was it was bruising the apples problem was it was bruising the apples problem was it was bruising the apples >> the dexterity >> the dexterity >> the dexterity >> hard. And they said, "We can't sell >> hard. And they said, "We can't sell >> hard. And they said, "We can't sell those apples." those apples." those apples." >> Yeah. >> Yeah. >> Yeah. >> People are picky. When they go to the >> People are picky. When they go to the >> People are picky. When they go to the grocery store, if they see an apple that grocery store, if they see an apple that grocery store, if they see an apple that looks, they're like, "Forget it." looks, they're like, "Forget it." looks, they're like, "Forget it." >> No. Yeah. It's like picking >> No. Yeah. It's like picking >> No. Yeah. It's like picking strawberries. I mean, it's Yeah. Oh, strawberries. I mean, it's Yeah. Oh, strawberries. I mean, it's Yeah. Oh, there's lots of folks working on that there's lots of folks working on that there's lots of folks working on that and it'll get solved. But it's and it'll get solved. But it's and it'll get solved. But it's definitely an opportunity for definitely an opportunity for definitely an opportunity for >> like we go back to the hard tech and the >> like we go back to the hard tech and the >> like we go back to the hard tech and the physical sciences, you know, and uh the physical sciences, you know, and uh the physical sciences, you know, and uh the software is important, but the software is important, but the software is important, but the >> the real world, we we say connecting AI >> the real world, we we say connecting AI >> the real world, we we say connecting AI to the real world. This is the real to the real world. This is the real to the real world. This is the real world, you know, not working. Uh, I world, you know, not working. Uh, I world, you know, not working. Uh, I noticed that noticed that noticed that >> I have one of those baskets on the end >> I have one of those baskets on the end >> I have one of those baskets on the end of a pole that I use to pick up of a pole that I use to pick up of a pole that I use to pick up go. You kind of yank it and it goes into go. You kind of yank it and it goes into go. You kind of yank it and it goes into the basket. And I like that. the basket. And I like that. the basket. And I like that. >> Yeah. >> Yeah. >> Yeah. >> Well, I noticed that one of my I have I >> Well, I noticed that one of my I have I >> Well, I noticed that one of my I have I have two different ways. I have a drive have two different ways. I have a drive have two different ways. I have a drive every morning to Freddicksburg, Texas every morning to Freddicksburg, Texas every morning to Freddicksburg, Texas for my son to go to school. And one of for my son to go to school. And one of for my son to go to school. And one of them if I go through comfort, they have them if I go through comfort, they have them if I go through comfort, they have this great feed mill right in the middle this great feed mill right in the middle this great feed mill right in the middle of town. Like it's so cool because it's of town. Like it's so cool because it's of town. Like it's so cool because it's right in the middle of town and the right in the middle of town and the right in the middle of town and the doors are always open. And so I love doors are always open. And so I love doors are always open. And so I love they had a cucka robotics massive arm they had a cucka robotics massive arm they had a cucka robotics massive arm picking up these massive bags of feed picking up these massive bags of feed picking up these massive bags of feed that they had already, you know, bagged that they had already, you know, bagged that they had already, you know, bagged up and it's it's gone. So I'm like, up and it's it's gone. So I'm like, up and it's it's gone. So I'm like, where's where's my robotic arm? So I'm where's where's my robotic arm? So I'm where's where's my robotic arm? So I'm like, I wonder what happened with that like, I wonder what happened with that like, I wonder what happened with that that it's not working.

that it's not working. that it's not working. >> You got a new job at Kroger or Whole >> You got a new job at Kroger or Whole >> You got a new job at Kroger or Whole Foods. Foods. Foods. >> Yeah, it's working the checkout line at >> Yeah, it's working the checkout line at >> Yeah, it's working the checkout line at Kroger Kroger Kroger >> ATB. >> ATB. >> ATB. >> I heard there's also robots now in the >> I heard there's also robots now in the >> I heard there's also robots now in the grain silos. It's like there's these grain silos. It's like there's these grain silos. It's like there's these robots that kind of scurry through the robots that kind of scurry through the robots that kind of scurry through the grain silos and grain silos and grain silos and >> that go in and around >> that go in and around >> that go in and around >> do something in there cuz I guess it's >> do something in there cuz I guess it's >> do something in there cuz I guess it's very dangerous for people to be in. very dangerous for people to be in. very dangerous for people to be in. >> Oh, I've heard people get buried in. >> Oh, I've heard people get buried in. >> Oh, I've heard people get buried in. >> So now there's robot robots in there >> So now there's robot robots in there >> So now there's robot robots in there that are like rotating the grain or that are like rotating the grain or that are like rotating the grain or something like that. something like that. something like that. >> Okay, that would not be good to be >> Okay, that would not be good to be >> Okay, that would not be good to be buried in grain in a silo. Like if buried in grain in a silo. Like if buried in grain in a silo. Like if you're at the bottom of the silo and it you're at the bottom of the silo and it you're at the bottom of the silo and it gets gets gets >> No, very dangerous. Yeah, you could uh >> No, very dangerous. Yeah, you could uh >> No, very dangerous. Yeah, you could uh So robots are now taking over the grain So robots are now taking over the grain So robots are now taking over the grain silo stuff. silo stuff. silo stuff. >> I read that somewhere else. Pete, I like >> I read that somewhere else. Pete, I like >> I read that somewhere else. Pete, I like barely like read maybe the two-minute barely like read maybe the two-minute barely like read maybe the two-minute headline, but I didn't get into it. So, headline, but I didn't get into it. So, headline, but I didn't get into it. So, >> probably we're probably reading some of >> probably we're probably reading some of >> probably we're probably reading some of the same stories. the same stories. the same stories. >> We are. Well, now that now that uh AI is >> We are. Well, now that now that uh AI is >> We are. Well, now that now that uh AI is listening, our Instagram feeds are going listening, our Instagram feeds are going listening, our Instagram feeds are going to pop up with grain silo articles and to pop up with grain silo articles and to pop up with grain silo articles and stuff. stuff. stuff. >> Actually, my Instagram feed for Compass >> Actually, my Instagram feed for Compass >> Actually, my Instagram feed for Compass My Instagram feed for Compass Intel is My Instagram feed for Compass Intel is My Instagram feed for Compass Intel is like after CES, it's all robotics. I'm like after CES, it's all robotics. I'm like after CES, it's all robotics. I'm like, okay.

like, okay. like, okay. >> But that's all we saw at CES. >> But that's all we saw at CES. >> But that's all we saw at CES. It's watching and listening to the It's watching and listening to the It's watching and listening to the things that I'm looking at. So, it's things that I'm looking at. So, it's things that I'm looking at. So, it's funny. funny. funny. >> Yeah, it's true. Wow. >> Yeah, it's true. Wow. >> Yeah, it's true. Wow. >> Yikes. >> Yikes. >> Yikes. >> I don't want to see any more videos of >> I don't want to see any more videos of >> I don't want to see any more videos of them practicing kung fu and jujitsu and them practicing kung fu and jujitsu and them practicing kung fu and jujitsu and >> backflip combat and back >> backflip combat and back >> backflip combat and back >> useless dancing dancing robots. >> useless dancing dancing robots. >> useless dancing dancing robots. >> Yeah. But but it's progress because if >> Yeah. But but it's progress because if >> Yeah. But but it's progress because if you looked at the robots last year, you looked at the robots last year, you looked at the robots last year, they're like falling over and they they're like falling over and they they're like falling over and they couldn't do anything. And so the fact couldn't do anything. And so the fact couldn't do anything. And so the fact that they could do kung fu is that they could do kung fu is that they could do kung fu is >> Yeah. >> Yeah. >> Yeah. >> cool and terrifying at the same time. >> cool and terrifying at the same time. >> cool and terrifying at the same time. >> Yeah. They're showing just how >> Yeah. They're showing just how >> Yeah. They're showing just how maneuverable they are, I think, more maneuverable they are, I think, more maneuverable they are, I think, more than anything. But some of the displays than anything. But some of the displays than anything. But some of the displays at CES, they're so comical. You're like, at CES, they're so comical. You're like, at CES, they're so comical. You're like, "Okay, I know "Okay, I know "Okay, I know >> they just showcase that, but they don't >> they just showcase that, but they don't >> they just showcase that, but they don't talk about the real world applications." talk about the real world applications." talk about the real world applications." >> Sure. >> Sure. >> Sure. >> Because of this improvement, like >> Because of this improvement, like >> Because of this improvement, like they're just they're just they're just >> It's not as interesting. Like the grain >> It's not as interesting. Like the grain >> It's not as interesting. Like the grain silo robot doesn't make a good demo as silo robot doesn't make a good demo as silo robot doesn't make a good demo as the laundry folding robot. We should the laundry folding robot. We should the laundry folding robot. We should have recreated that at CES and had show have recreated that at CES and had show have recreated that at CES and had show before and after and like maybe before and after and like maybe before and after and like maybe sacrificed some money.

sacrificed some money. sacrificed some money. >> They could have partnered up with K >> They could have partnered up with K >> They could have partnered up with K Cabota or one of the other big tractor Cabota or one of the other big tractor Cabota or one of the other big tractor guys that were out there and just been guys that were out there and just been guys that were out there and just been right next door to them and done that. right next door to them and done that. right next door to them and done that. >> Or maybe like a ball pit instead of >> Or maybe like a ball pit instead of >> Or maybe like a ball pit instead of grain silo. Could be like a McDonald's grain silo. Could be like a McDonald's grain silo. Could be like a McDonald's ball pit robot or something. I don't ball pit robot or something. I don't ball pit robot or something. I don't know. know. know. >> Yeah. >> Yeah. >> Yeah. >> Cleaning the balls in the ball pit >> Cleaning the balls in the ball pit >> Cleaning the balls in the ball pit automatically. If you're in that ball automatically. If you're in that ball automatically. If you're in that ball pit at Chuck-e-Cheese, you're probably pit at Chuck-e-Cheese, you're probably pit at Chuck-e-Cheese, you're probably going to get sick. going to get sick. going to get sick. >> You are gonna get sick. >> You are gonna get sick. >> You are gonna get sick. >> Yeah. It's kind of like going to Great >> Yeah. It's kind of like going to Great >> Yeah. It's kind of like going to Great Wolf Lodge and swimming around in that Wolf Lodge and swimming around in that Wolf Lodge and swimming around in that water with all the other little kids who water with all the other little kids who water with all the other little kids who are all are all are all >> Yikes. >> Yikes. >> Yikes. >> Yeah. Yeah. Every time we hear my my >> Yeah. Yeah. Every time we hear my my >> Yeah. Yeah. Every time we hear my my wife being a school teacher, they some wife being a school teacher, they some wife being a school teacher, they some family, oh yeah, we spent the weekend at family, oh yeah, we spent the weekend at family, oh yeah, we spent the weekend at Great Wolf Lodge. And sure enough, the Great Wolf Lodge. And sure enough, the Great Wolf Lodge. And sure enough, the kids are like sick for the next three kids are like sick for the next three kids are like sick for the next three days. days. days. >> Quarantine. Quarantine. >> Quarantine. Quarantine. >> Quarantine. Quarantine. >> Yeah. Yeah. Pretty much. >> Yeah. Yeah. Pretty much. >> Yeah. Yeah. Pretty much. >> It's a cess full of bacteria. >> It's a cess full of bacteria. >> It's a cess full of bacteria. >> It pretty much is. Well, I guess we can >> It pretty much is. Well, I guess we can >> It pretty much is. Well, I guess we can wrap it up now. This has been a wrap it up now. This has been a wrap it up now. This has been a wonderful show. wonderful show. wonderful show. >> Yeah, we survived without Leonard. >> Yeah, we survived without Leonard. >> Yeah, we survived without Leonard. That's amazing. That's amazing. That's amazing. >> I know. I can't believe we did it. We We >> I know. I can't believe we did it. We We >> I know. I can't believe we did it. We We could do it, could do it, could do it, >> y'all. I could not I could not keep up >> y'all. I could not I could not keep up >> y'all. I could not I could not keep up with his posts. I want to read them all, with his posts. I want to read them all, with his posts. I want to read them all, but I haven't been able to content.

but I haven't been able to content. but I haven't been able to content. >> Yeah, because I want to read what's >> Yeah, because I want to read what's >> Yeah, because I want to read what's happening. I'm not there. I have FOMO. happening. I'm not there. I have FOMO. happening. I'm not there. I have FOMO. So, and I want to read and learn, but So, and I want to read and learn, but So, and I want to read and learn, but I'm like, "Oh my god, I don't know if I I'm like, "Oh my god, I don't know if I I'm like, "Oh my god, I don't know if I can keep up with this post." I think the can keep up with this post." I think the can keep up with this post." I think the coolest thing, the coolest picture I saw coolest thing, the coolest picture I saw coolest thing, the coolest picture I saw though and you saw it was with Mark Post though and you saw it was with Mark Post though and you saw it was with Mark Post posting that picture with him with Steve posting that picture with him with Steve posting that picture with him with Steve Aoki, Aoki, Aoki, >> the DJ. >> the DJ. >> the DJ. >> I was like, how the hell did that >> I was like, how the hell did that >> I was like, how the hell did that happen? You're at Mobile World Congress happen? You're at Mobile World Congress happen? You're at Mobile World Congress and you get with Aoki. Oh my god, and you get with Aoki. Oh my god, and you get with Aoki. Oh my god, >> that's awesome. >> that's awesome. >> that's awesome. >> I think Steve is working with Qualcomm >> I think Steve is working with Qualcomm >> I think Steve is working with Qualcomm though. I think maybe though. I think maybe though. I think maybe >> that's probably why he's there. Yeah, >> that's probably why he's there. Yeah, >> that's probably why he's there. Yeah, >> you know, >> you know, >> you know, >> you know, we'll go check him out at his >> you know, we'll go check him out at his >> you know, we'll go check him out at his residency in Vegas. glamorous life of residency in Vegas. glamorous life of residency in Vegas. glamorous life of Leonard Lee. Leonard Lee. Leonard Lee. >> They'll spend that money. >> They'll spend that money. >> They'll spend that money. >> Exactly. I think Don't they make like >> Exactly. I think Don't they make like >> Exactly. I think Don't they make like $100,000 a night or something doing the $100,000 a night or something doing the $100,000 a night or something doing the EDM stuff in Vegas, you know? EDM stuff in Vegas, you know? EDM stuff in Vegas, you know? >> DJs. >> DJs. >> DJs. >> Yeah, these DJs. >> Yeah, these DJs. >> Yeah, these DJs. >> Well, very famous DJs. I mean, it's >> Well, very famous DJs. I mean, it's >> Well, very famous DJs. I mean, it's worldwide fame, you know. They're worldwide fame, you know. They're worldwide fame, you know. They're they're living large, you know. So, they're living large, you know. So, they're living large, you know. So, >> yeah. Who knew? >> yeah. Who knew? >> yeah. Who knew? >> It is a it is a career path for some >> It is a it is a career path for some >> It is a it is a career path for some folks. No question. folks. No question. folks. No question. >> Yeah.

>> Nice. >> Nice. >> Good. >> Good. >> Good. >> All right. Thanks everybody for coming >> All right. Thanks everybody for coming >> All right. Thanks everybody for coming and joining us on IoT Coffee Talk. Uh and joining us on IoT Coffee Talk. Uh and joining us on IoT Coffee Talk. Uh but a word from our most important but a word from our most important but a word from our most important sponsor, Stephanie is going to talk to sponsor, Stephanie is going to talk to sponsor, Stephanie is going to talk to you about Elevate Communities. you about Elevate Communities. you about Elevate Communities. >> Elevate Communities. >> Elevate Communities. >> Elevate Communities. >> Yeah. You know, Rob, it is it has been a >> Yeah. You know, Rob, it is it has been a >> Yeah. You know, Rob, it is it has been a struggle when you're setting up a struggle when you're setting up a struggle when you're setting up a nonprofit and someone else is using the nonprofit and someone else is using the nonprofit and someone else is using the same name as you and a small little East same name as you and a small little East same name as you and a small little East Texas nonprofit. Texas nonprofit. Texas nonprofit. Getting them to send over paperwork so Getting them to send over paperwork so Getting them to send over paperwork so you can actually move forward with your you can actually move forward with your you can actually move forward with your nonprofit. That's been our challenge. nonprofit. That's been our challenge. nonprofit. That's been our challenge. >> It has been signed, but I need actual >> It has been signed, but I need actual >> It has been signed, but I need actual paperwork in my hands. Like, if you're paperwork in my hands. Like, if you're paperwork in my hands. Like, if you're going to notoriize something, you can't going to notoriize something, you can't going to notoriize something, you can't send that to me digitally, right? send that to me digitally, right? send that to me digitally, right? >> That will not work, >> That will not work, >> That will not work, >> right? So, I feel like I might have to >> right? So, I feel like I might have to >> right? So, I feel like I might have to just do a drive to East Texas. just do a drive to East Texas. just do a drive to East Texas. >> You're gonna have to go to this little >> You're gonna have to go to this little >> You're gonna have to go to this little >> go meet her and document because we >> go meet her and document because we >> go meet her and document because we cannot move forward until we have that cannot move forward until we have that cannot move forward until we have that document in hand. And I got everything document in hand. And I got everything document in hand. And I got everything else ready. So, else ready. So, else ready. So, >> in the meantime, you can check out >> in the meantime, you can check out >> in the meantime, you can check out elevatecommunities.org.

elevatecommunities.org. elevatecommunities.org. We're talking about pre- disaster, We're talking about pre- disaster, We're talking about pre- disaster, during the disaster, and post- disaster during the disaster, and post- disaster during the disaster, and post- disaster relief. The goal is to bring together relief. The goal is to bring together relief. The goal is to bring together technologists as well as the solutions technologists as well as the solutions technologists as well as the solutions to really support in drought, fires, and to really support in drought, fires, and to really support in drought, fires, and all the other disasters that are all the other disasters that are all the other disasters that are happening across the states. So stay happening across the states. So stay happening across the states. So stay tuned while we get oursel organized. But tuned while we get oursel organized. But tuned while we get oursel organized. But that is going to be, you know, as soon that is going to be, you know, as soon that is going to be, you know, as soon as we have the information, we're going as we have the information, we're going as we have the information, we're going to share that with all of the the to share that with all of the the to share that with all of the the greater IoT coffee talk crew. And um greater IoT coffee talk crew. And um greater IoT coffee talk crew. And um just stay tuned. just stay tuned. just stay tuned. >> Yeah, turns out IoT can help out with a >> Yeah, turns out IoT can help out with a >> Yeah, turns out IoT can help out with a lot of that stuff. Early warning, remote lot of that stuff. Early warning, remote lot of that stuff. Early warning, remote monitoring of things when things go bad, monitoring of things when things go bad, monitoring of things when things go bad, right? right? right? >> Without doubt. >> Without doubt. >> Without doubt. >> Yeah, absolutely. All right. Well, good >> Yeah, absolutely. All right. Well, good >> Yeah, absolutely. All right. Well, good seeing everybody. seeing everybody. seeing everybody. >> It was great seeing all of you. >> It was great seeing all of you. >> It was great seeing all of you. >> Yeah. Great, man. Don't be a stranger, >> Yeah. Great, man. Don't be a stranger, >> Yeah. Great, man. Don't be a stranger, Steve. Steve. Steve. >> Yeah. And check out all the episodes at >> Yeah. And check out all the episodes at >> Yeah. And check out all the episodes at iotalk.com. iotalk.com. iotalk.com. >> Yeah, we're also on Substack now, >> Yeah, we're also on Substack now, >> Yeah, we're also on Substack now, >> Substack, YouTube. >> Substack, YouTube. >> Substack, YouTube. >> We're all over the place, >> We're all over the place, >> We're all over the place, >> everywhere. Everywhere you turn. >> everywhere. Everywhere you turn. >> everywhere. Everywhere you turn. >> Substack was cool and so now we're on >> Substack was cool and so now we're on >> Substack was cool and so now we're on Substack. Substack. Substack. >> Blue Sky. No, not Blue Sky. Sorry. I >> Blue Sky. No, not Blue Sky. Sorry. I >> Blue Sky. No, not Blue Sky. Sorry. I tried blue sky for a while and now tried blue sky for a while and now tried blue sky for a while and now there's like it's like a ghost town.

there's like it's like a ghost town. there's like it's like a ghost town. >> It's a ghost town. I think we I think we >> It's a ghost town. I think we I think we >> It's a ghost town. I think we I think we auto post to blue sky. auto post to blue sky. auto post to blue sky. >> Okay. >> Okay. >> Okay. >> It's part of my agent AI agent post the >> It's part of my agent AI agent post the >> It's part of my agent AI agent post the blue sky. blue sky. blue sky. >> Absolutely. >> Absolutely. >> Absolutely. >> Just in case. >> Just in case. >> Just in case. >> Just in case. There might be one person >> Just in case. There might be one person >> Just in case. There might be one person out there. out there. out there. >> You never know. >> You never know. >> You never know. >> Never know. >> Never know. >> Never know. >> All right. We'll see y'all next week. >> All right. We'll see y'all next week. >> All right. We'll see y'all next week. >> All right. Take care everybody. >> All right. Take care everybody. >> All right. Take care everybody. >> Bye.