IoT Coffee Talk: Episode 274 - Engineering IoT Innovation (sponsored by MistyWest)

Okay. Ready? Okay. Ready? >> All right. >> All right. >> All right. >> Can do this. Rob, you going to sing? >> Can do this. Rob, you going to sing? >> Can do this. Rob, you going to sing? >> I don't know. >> I don't know. >> I don't know. Maybe. Got to love that. Got to love that. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. >> What did I just play? >> What did I just play? >> What did I just play? >> Highway to Hell. >> Highway to Hell. >> Highway to Hell. >> AC/DC. You don't even know what you're >> AC/DC. You don't even know what you're >> AC/DC. You don't even know what you're playing, do you? playing, do you? playing, do you? >> It's just like some kind of subconscious >> It's just like some kind of subconscious >> It's just like some kind of subconscious thing, you know? thing, you know? thing, you know? >> Muscle memory. >> Muscle memory. >> Muscle memory. >> Muscle memory. >> Muscle memory. >> Muscle memory. >> Muscle memory. That's That's what it is.

>> Muscle memory. That's That's what it is. >> Muscle memory. That's That's what it is. an entire entire childhood playing an entire entire childhood playing an entire entire childhood playing classic rock and heavy metal and classic rock and heavy metal and classic rock and heavy metal and >> was it classic rock though when you were >> was it classic rock though when you were >> was it classic rock though when you were a child? a child? a child? >> No, it was the hottest thing. >> No, it was the hottest thing. >> No, it was the hottest thing. >> I was like, "Oh my god, who's this new >> I was like, "Oh my god, who's this new >> I was like, "Oh my god, who's this new band called AC/DC and who's this like band called AC/DC and who's this like band called AC/DC and who's this like dude running around on stage like he's dude running around on stage like he's dude running around on stage like he's on crack?" on crack?" on crack?" >> Yeah. Yeah. Angus. You know, I still >> Yeah. Yeah. Angus. You know, I still >> Yeah. Yeah. Angus. You know, I still worry about his neck after all these worry about his neck after all these worry about his neck after all these years of doing that. you know, enjoy years of doing that. you know, enjoy years of doing that. you know, enjoy >> looks he looks a lot more frail these >> looks he looks a lot more frail these >> looks he looks a lot more frail these days than he used to. days than he used to. days than he used to. >> Well, you know, he's like 80 years old >> Well, you know, he's like 80 years old >> Well, you know, he's like 80 years old now. Come on. Give me now. Come on. Give me now. Come on. Give me >> But you know what? At the same time, >> But you know what? At the same time, >> But you know what? At the same time, he's still out there doing it. You know, he's still out there doing it. You know, he's still out there doing it. You know, in fact, I think there's a lot to learn in fact, I think there's a lot to learn in fact, I think there's a lot to learn from really old rock stars that are from really old rock stars that are from really old rock stars that are still out there performing. They're still out there performing. They're still out there performing. They're still around. still around. still around. >> Move it or lose it. >> Move it or lose it. >> Move it or lose it. >> Well, you know, you can apply that to >> Well, you know, you can apply that to >> Well, you know, you can apply that to pretty much all old people, I think. pretty much all old people, I think. pretty much all old people, I think. >> There you go. >> There you go. >> There you go. >> Right. You know, >> Right. You know, >> Right. You know, >> keep moving. >> keep moving. >> keep moving. >> Yeah. >> Yeah. >> Yeah. >> All right, everybody. Welcome to IoT >> All right, everybody. Welcome to IoT >> All right, everybody. Welcome to IoT Coffee Talk. Today we're pleased to have Coffee Talk. Today we're pleased to have Coffee Talk. Today we're pleased to have a special guest, Lee Christie from Misty a special guest, Lee Christie from Misty a special guest, Lee Christie from Misty West. Hey Lee, thanks for joining us, West. Hey Lee, thanks for joining us, West. Hey Lee, thanks for joining us, man.

man. man. >> Thank you for having me on the pod. It >> Thank you for having me on the pod. It >> Thank you for having me on the pod. It means a lot to me. means a lot to me. means a lot to me. >> Yeah. Yeah, we're thrilled to have you. >> Yeah. Yeah, we're thrilled to have you. >> Yeah. Yeah, we're thrilled to have you. Um yeah, Lee is up in Vancouver, Um yeah, Lee is up in Vancouver, Um yeah, Lee is up in Vancouver, >> just north just north of Pete and I. >> just north just north of Pete and I. >> just north just north of Pete and I. We're down here in the Seattle area. We're down here in the Seattle area. We're down here in the Seattle area. >> Um >> Um >> Um >> Wow. >> Wow. >> Wow. >> Yeah, >> Yeah, >> Yeah, >> you guys the atmospheric river. >> you guys the atmospheric river. >> you guys the atmospheric river. >> I'm feeling it. >> I'm feeling it. >> I'm feeling it. >> Enjoying that. Enjoying a little rain >> Enjoying that. Enjoying a little rain >> Enjoying that. Enjoying a little rain actually. actually. actually. >> What? Nice. >> What? Nice. >> What? Nice. >> Oh jeez. >> Oh jeez. >> Oh jeez. >> We're getting more rain today than the >> We're getting more rain today than the >> We're getting more rain today than the entire month of August. entire month of August. entire month of August. >> I believe it. Yeah. >> I believe it. Yeah. >> I believe it. Yeah. >> Yeah. >> Yeah. >> Yeah. >> I believe it. >> I believe it. >> I believe it. >> Most people don't know Pacific Northwest >> Most people don't know Pacific Northwest >> Most people don't know Pacific Northwest in the summertime, we're like in a in the summertime, we're like in a in the summertime, we're like in a drought situation here. drought situation here. drought situation here. >> Yeah. It hadn't it hadn't rained much at >> Yeah. It hadn't it hadn't rained much at >> Yeah. It hadn't it hadn't rained much at all. all. all. >> So this is >> So this is >> So this is >> Yeah. Getting fires are starting to >> Yeah. Getting fires are starting to >> Yeah. Getting fires are starting to threaten us from every angle. threaten us from every angle. threaten us from every angle. >> Yeah. No doubt about it. >> Yeah. No doubt about it. >> Yeah. No doubt about it. >> Yeah. >> Yeah. >> Yeah. >> I'm just looking out at my yard and it's >> I'm just looking out at my yard and it's >> I'm just looking out at my yard and it's like going, "Yes, yes. Let's get let's like going, "Yes, yes. Let's get let's like going, "Yes, yes. Let's get let's turn green again. >> Uh so Lee, man, tell us tell us about >> Uh so Lee, man, tell us tell us about yourself and and tell us all about what yourself and and tell us all about what yourself and and tell us all about what Misty West is.

Misty West is. Misty West is. >> Yeah, absolutely. Uh we're we're we're >> Yeah, absolutely. Uh we're we're we're >> Yeah, absolutely. Uh we're we're we're an engineering firm that's focused on, an engineering firm that's focused on, an engineering firm that's focused on, you know, mechanical engineering, you know, mechanical engineering, you know, mechanical engineering, electrical engineering, firmware for electrical engineering, firmware for electrical engineering, firmware for intelligent and connected devices. And intelligent and connected devices. And intelligent and connected devices. And in the last five or six years, we've in the last five or six years, we've in the last five or six years, we've really narrowed our focus down to mining really narrowed our focus down to mining really narrowed our focus down to mining technology, health tech, and what we technology, health tech, and what we technology, health tech, and what we would like to say, smart infrastructure, would like to say, smart infrastructure, would like to say, smart infrastructure, which encompasses smart logistics and which encompasses smart logistics and which encompasses smart logistics and materials handling. materials handling. materials handling. >> Oh, wow. >> Oh, wow. >> Oh, wow. >> Okay. >> Okay. >> Okay. >> That's awesome. >> That's awesome. >> That's awesome. >> That that's that's like the design and >> That that's that's like the design and >> That that's that's like the design and fabrication of the devices themselves. fabrication of the devices themselves. fabrication of the devices themselves. >> Yeah. The emphasis on the design. Um, I >> Yeah. The emphasis on the design. Um, I >> Yeah. The emphasis on the design. Um, I would say we're we're I wouldn't would say we're we're I wouldn't would say we're we're I wouldn't consider us to really be a manufacturer, consider us to really be a manufacturer, consider us to really be a manufacturer, but it like whether we like it or not is but it like whether we like it or not is but it like whether we like it or not is there's always like at least a couple of there's always like at least a couple of there's always like at least a couple of customers per year that are their customers per year that are their customers per year that are their volumes are low enough where it actually volumes are low enough where it actually volumes are low enough where it actually makes sense for us to make them. And so makes sense for us to make them. And so makes sense for us to make them. And so we so we'll do we'll do up to like a we so we'll do we'll do up to like a we so we'll do we'll do up to like a couple thousand units. couple thousand units. couple thousand units. >> Really? Oh wow. So you guys are kind of >> Really? Oh wow. So you guys are kind of >> Really? Oh wow. So you guys are kind of like a design house then, right? Like like a design house then, right? Like like a design house then, right? Like >> Yeah, primarily. Yeah.

>> Yeah, primarily. Yeah. >> Yeah, primarily. Yeah. >> Yeah. like but I we hesitate to use that >> Yeah. like but I we hesitate to use that >> Yeah. like but I we hesitate to use that term though because there's there's so term though because there's there's so term though because there's there's so many design houses out there that only many design houses out there that only many design houses out there that only do industrial design do industrial design do industrial design >> and so we we don't want to be confused >> and so we we don't want to be confused >> and so we we don't want to be confused for uh an industrial design house. for uh an industrial design house. for uh an industrial design house. >> So we we're we're primarily an a >> So we we're we're primarily an a >> So we we're we're primarily an a mechanical engineering, electrical mechanical engineering, electrical mechanical engineering, electrical engineering and firmware engineering. engineering and firmware engineering. engineering and firmware engineering. >> Yeah. >> Yeah. >> Yeah. >> But how's that different? I mean you >> But how's that different? I mean you >> But how's that different? I mean you know just so that our audience know just so that our audience know just so that our audience understands you know what understands you know what understands you know what >> Yeah, no problem. Yeah, I'd love to >> Yeah, no problem. Yeah, I'd love to >> Yeah, no problem. Yeah, I'd love to explain that difference. Um so first of explain that difference. Um so first of explain that difference. Um so first of all uh some of our best customers are all uh some of our best customers are all uh some of our best customers are industrial design companies. Uh so industrial design companies. Uh so industrial design companies. Uh so design houses hire us to do the design houses hire us to do the design houses hire us to do the engineering. engineering. engineering. >> Oh okay. >> Oh okay. >> Oh okay. >> One big difference. Um but the biggest >> One big difference. Um but the biggest >> One big difference. Um but the biggest difference being the like like it's not difference being the like like it's not difference being the like like it's not like we don't do any industrial design. like we don't do any industrial design. like we don't do any industrial design. Like we have a full-time industrial Like we have a full-time industrial Like we have a full-time industrial designer on staff which I think helps us designer on staff which I think helps us designer on staff which I think helps us sort of bridge the gap or at least speak sort of bridge the gap or at least speak sort of bridge the gap or at least speak the language, you know, so we're not you the language, you know, so we're not you the language, you know, so we're not you know we're not a at a at a loss or a know we're not a at a at a loss or a know we're not a at a at a loss or a disadvantage there. Um but we don't disadvantage there. Um but we don't disadvantage there. Um but we don't compete with these industrial design compete with these industrial design compete with these industrial design houses really at all. I mean, we're houses really at all. I mean, we're houses really at all. I mean, we're we're leading with the engineering. we're leading with the engineering. we're leading with the engineering. We're basically saying, look, is what We're basically saying, look, is what We're basically saying, look, is what you're doing technically difficult. Um, you're doing technically difficult. Um, you're doing technically difficult. Um, because if it's because if you're because if it's because if you're because if it's because if you're designing like a a new type of blender designing like a a new type of blender designing like a a new type of blender where the primary advantage of your where the primary advantage of your where the primary advantage of your blender is the industrial design, like blender is the industrial design, like blender is the industrial design, like how it looks, that's not a place where how it looks, that's not a place where how it looks, that's not a place where that's not a Misty Westshaped hole.

that's not a Misty Westshaped hole. that's not a Misty Westshaped hole. That's not a place where we can deliver That's not a place where we can deliver That's not a place where we can deliver value. value. value. >> Um, where we would deliver value is if >> Um, where we would deliver value is if >> Um, where we would deliver value is if you're inventing a new type of blender you're inventing a new type of blender you're inventing a new type of blender that has never existed before in terms that has never existed before in terms that has never existed before in terms of its technical functionality. uh of its technical functionality. uh of its technical functionality. uh especially if that involves embedded especially if that involves embedded especially if that involves embedded intelligence or embedded connectivity. intelligence or embedded connectivity. intelligence or embedded connectivity. >> I have an idea for a new blender. It's >> I have an idea for a new blender. It's >> I have an idea for a new blender. It's called the Bassmatic 76. called the Bassmatic 76. called the Bassmatic 76. >> Okay. And you make it creates bass while >> Okay. And you make it creates bass while >> Okay. And you make it creates bass while you play the blender. Is that the idea? you play the blender. Is that the idea? you play the blender. Is that the idea? >> No, it's it's actually you put a a fish >> No, it's it's actually you put a a fish >> No, it's it's actually you put a a fish in it. It's like a bass and you put it in it. It's like a bass and you put it in it. It's like a bass and you put it in the blender and then you pour it out in the blender and then you pour it out in the blender and then you pour it out and you have that's good bass and you and you have that's good bass and you and you have that's good bass and you have chum. Rob, I think your cultural have chum. Rob, I think your cultural have chum. Rob, I think your cultural reference may be maybe a little too reference may be maybe a little too reference may be maybe a little too archaic. I'm not sure. archaic. I'm not sure. archaic. I'm not sure. >> Can you make buttery biscuit base with >> Can you make buttery biscuit base with >> Can you make buttery biscuit base with it? it? it? >> No, >> No, >> No, >> you could. Maybe. Yes. Yes. But you're >> you could. Maybe. Yes. Yes. But you're >> you could. Maybe. Yes. Yes. But you're right. Since we're all older than dirt, right. Since we're all older than dirt, right. Since we're all older than dirt, you know. Yeah. Don't you remember Dan you know. Yeah. Don't you remember Dan you know. Yeah. Don't you remember Dan Akroyd doing the ad with Lorraine Akroyd doing the ad with Lorraine Akroyd doing the ad with Lorraine Newman? You know, Seatic 76. Newman? You know, Seatic 76. Newman? You know, Seatic 76. You get the bass. You put the bass in You get the bass. You put the bass in You get the bass. You put the bass in this blender. And then Lorraine Newman's this blender. And then Lorraine Newman's this blender. And then Lorraine Newman's pouring it out like a shake. M. That's pouring it out like a shake. M. That's pouring it out like a shake. M. That's some good bass.

some good bass. some good bass. Yeah. Oh my god. Yeah. I just had that. Yeah. Oh my god. Yeah. I just had that. Yeah. Oh my god. Yeah. I just had that. That was kind of weird. That was kind of weird. That was kind of weird. >> You know what? You are an old person >> You know what? You are an old person >> You know what? You are an old person with a really good memory. with a really good memory. with a really good memory. >> Yeah. >> Yeah. >> Yeah. >> I create our next April Fool's joke. Uh >> I create our next April Fool's joke. Uh >> I create our next April Fool's joke. Uh that's pretty that's pretty good. We that's pretty that's pretty good. We that's pretty that's pretty good. We have every year M does like a an April have every year M does like a an April have every year M does like a an April Fool's product that we're not actually Fool's product that we're not actually Fool's product that we're not actually making. Um one year we did a uh an IoT making. Um one year we did a uh an IoT making. Um one year we did a uh an IoT connected skim board. Um, so what a lot connected skim board. Um, so what a lot connected skim board. Um, so what a lot of people don't know is that Misty West of people don't know is that Misty West of people don't know is that Misty West when we were our company was founded in when we were our company was founded in when we were our company was founded in 2004, myself and Josh Usher founded the 2004, myself and Josh Usher founded the 2004, myself and Josh Usher founded the company together and we're avid company together and we're avid company together and we're avid longboarders, skateboarders, uh, longboarders, skateboarders, uh, longboarders, skateboarders, uh, surfers, and we we decided we were going surfers, and we we decided we were going surfers, and we we decided we were going to start a skiboard skateboard company to start a skiboard skateboard company to start a skiboard skateboard company and we called it Misty West as in like and we called it Misty West as in like and we called it Misty West as in like the Misty West Coast as opposed to like the Misty West Coast as opposed to like the Misty West Coast as opposed to like a stripper a stripper name or something a stripper a stripper name or something a stripper a stripper name or something like that. like that. like that. >> That's what we normally think of. >> That's what we normally think of. >> That's what we normally think of. >> Yeah. A lot. You'd be shocked how many >> Yeah. A lot. You'd be shocked how many >> Yeah. A lot. You'd be shocked how many people think we named it after a people think we named it after a people think we named it after a stripper. Um, and uh, but no, it's the m stripper. Um, and uh, but no, it's the m stripper. Um, and uh, but no, it's the m it's it's like the west coast is very it's it's like the west coast is very it's it's like the west coast is very misty as as the Seattleites. Is it se is misty as as the Seattleites. Is it se is misty as as the Seattleites. Is it se is that when you say do you guys say that when you say do you guys say that when you say do you guys say Seattleites? Seattleites? Seattleites? >> Yeah, I think that's right. I think it's >> Yeah, I think that's right. I think it's >> Yeah, I think that's right. I think it's >> Seattleites in Vancouver.

>> Seattleites in Vancouver. >> Seattleites in Vancouver. >> Yeah. >> Yeah. >> Yeah. >> Um, we made this IoT skim board as a >> Um, we made this IoT skim board as a >> Um, we made this IoT skim board as a hearkening back to our founding days as hearkening back to our founding days as hearkening back to our founding days as a skiboard skateboard company. We said, a skiboard skateboard company. We said, a skiboard skateboard company. We said, "Hey, look, we're bringing the skim "Hey, look, we're bringing the skim "Hey, look, we're bringing the skim boards back, but this time, you know, boards back, but this time, you know, boards back, but this time, you know, embedded intelligence, you know, embedded intelligence, you know, embedded intelligence, you know, embedded connectivity. you now have the embedded connectivity. you now have the embedded connectivity. you now have the ability to tell how long your skims are ability to tell how long your skims are ability to tell how long your skims are and and you know all this all this like and and you know all this all this like and and you know all this all this like you you know relatively useless IoT you you know relatively useless IoT you you know relatively useless IoT functionality embedded into a product functionality embedded into a product functionality embedded into a product that has no business being intelligent that has no business being intelligent that has no business being intelligent or connected and the internet of [ __ ] or connected and the internet of [ __ ] or connected and the internet of [ __ ] picked it up and it was just it picked it up and it was just it picked it up and it was just it >> that's awesome and you described you've >> that's awesome and you described you've >> that's awesome and you described you've described most of IoT you know it had no described most of IoT you know it had no described most of IoT you know it had no purpose so we just connected it purpose so we just connected it purpose so we just connected it >> telemetry >> telemetry >> telemetry >> cuz somebody at Cisco said we were >> cuz somebody at Cisco said we were >> cuz somebody at Cisco said we were supposed to connect everything or supposed to connect everything or supposed to connect everything or something I don't know something I don't know something I don't know >> yeah everything everything every all >> yeah everything everything every all >> yeah everything everything every all matter will be intelligent Right, Rob. matter will be intelligent Right, Rob. matter will be intelligent Right, Rob. >> Right. Right. So, surfing in the Pacific >> Right. Right. So, surfing in the Pacific >> Right. Right. So, surfing in the Pacific Northwest, do you do you go out to to Northwest, do you do you go out to to Northwest, do you do you go out to to Tofino? Tofino? Tofino? >> I do. Yeah. So, whenever the smoke rolls >> I do. Yeah. So, whenever the smoke rolls >> I do. Yeah. So, whenever the smoke rolls into Vancouver, the the least smoky into Vancouver, the the least smoky into Vancouver, the the least smoky place is Tofino. Yeah. place is Tofino. Yeah. place is Tofino. Yeah. >> And it's, you know, it's like the >> And it's, you know, it's like the >> And it's, you know, it's like the climate's like not that dissimilar from climate's like not that dissimilar from climate's like not that dissimilar from like La Push.

like La Push. like La Push. >> Right. Right. That's true. >> Right. Right. That's true. >> Right. Right. That's true. >> And it's got that surf surf culture as >> And it's got that surf surf culture as >> And it's got that surf surf culture as I'm sure you're all aware. And it's a I'm sure you're all aware. And it's a I'm sure you're all aware. And it's a great refuge from the from the uh the great refuge from the from the uh the great refuge from the from the uh the smoke that generally comes from the smoke that generally comes from the smoke that generally comes from the Okonogan. Um Yeah. or or in some cases Okonogan. Um Yeah. or or in some cases Okonogan. Um Yeah. or or in some cases further west that but it blows through further west that but it blows through further west that but it blows through Vancouver and so Vancouver and so Vancouver and so >> I got two young kids. I got a >> I got two young kids. I got a >> I got two young kids. I got a four-year-old and a one-year-old and uh four-year-old and a one-year-old and uh four-year-old and a one-year-old and uh my my wife and I are both like very my my wife and I are both like very my my wife and I are both like very concerned about like air quality. concerned about like air quality. concerned about like air quality. >> Um and uh so we're just doing everything >> Um and uh so we're just doing everything >> Um and uh so we're just doing everything we can to keep them out of the smoke. we can to keep them out of the smoke. we can to keep them out of the smoke. >> I think Tofino is just the heaven on >> I think Tofino is just the heaven on >> I think Tofino is just the heaven on earth. It's I love going there. It's so earth. It's I love going there. It's so earth. It's I love going there. It's so it's just such a great place to get it's just such a great place to get it's just such a great place to get away. and weird ancient trivia. away. and weird ancient trivia. away. and weird ancient trivia. Um, my first knowledge of Tofino Canada Um, my first knowledge of Tofino Canada Um, my first knowledge of Tofino Canada up there in V on Vancouver Island was up there in V on Vancouver Island was up there in V on Vancouver Island was when I was in the Navy on submarines. when I was in the Navy on submarines. when I was in the Navy on submarines. And so our base is on the Hood Canal, And so our base is on the Hood Canal, And so our base is on the Hood Canal, our Trident base. And so when we would our Trident base. And so when we would our Trident base. And so when we would come back from sea, if we're coming back come back from sea, if we're coming back come back from sea, if we're coming back to port, you know, in the Pacific Ocean, to port, you know, in the Pacific Ocean, to port, you know, in the Pacific Ocean, but before we get into the straight of but before we get into the straight of but before we get into the straight of Wandafuca, Wandafuca, Wandafuca, um, we'd be on the surface and I just um, we'd be on the surface and I just um, we'd be on the surface and I just have a, you know, I'm driving the have a, you know, I'm driving the have a, you know, I'm driving the submarine and I have a distinct memory, submarine and I have a distinct memory, submarine and I have a distinct memory, you know, the radio thing is going, you know, the radio thing is going, you know, the radio thing is going, we're communicating with, and the very we're communicating with, and the very we're communicating with, and the very first entity we would make contact with first entity we would make contact with first entity we would make contact with as we're approaching the West Coast as we're approaching the West Coast as we're approaching the West Coast would be, "Hello, USS Alaska, this is would be, "Hello, USS Alaska, this is would be, "Hello, USS Alaska, this is Tofino traffic." And they would, it's Tofino traffic." And they would, it's Tofino traffic." And they would, it's almost like air traffic control for almost like air traffic control for almost like air traffic control for ships coming in. And so Tofino, that's ships coming in. And so Tofino, that's ships coming in. And so Tofino, that's how I first heard of it, was listening, how I first heard of it, was listening, how I first heard of it, was listening, crackling, talking to someone, guiding crackling, talking to someone, guiding crackling, talking to someone, guiding us in. So there you have it. Useless

us in. So there you have it. Useless us in. So there you have it. Useless trivia like lots of useless internet of trivia like lots of useless internet of trivia like lots of useless internet of [ __ ] devices. That doesn't sound to me. [ __ ] devices. That doesn't sound to me. [ __ ] devices. That doesn't sound to me. You're you were a submarine. I did not You're you were a submarine. I did not You're you were a submarine. I did not know that about you. That you drove know that about you. That you drove know that about you. That you drove >> Yeah. piloted submarines. That's that is >> Yeah. piloted submarines. That's that is >> Yeah. piloted submarines. That's that is freaking cool. freaking cool. freaking cool. >> Submariner. Submariner. >> Submariner. Submariner. >> Submariner. Submariner. >> Yeah. Well, actually, no. Be careful >> Yeah. Well, actually, no. Be careful >> Yeah. Well, actually, no. Be careful there, Pete. This is how we'll know. So, there, Pete. This is how we'll know. So, there, Pete. This is how we'll know. So, you know, like, you know, there's people you know, like, you know, there's people you know, like, you know, there's people who might say, "Oh, yeah. I was a who might say, "Oh, yeah. I was a who might say, "Oh, yeah. I was a submariner." And you instantly know that submariner." And you instantly know that submariner." And you instantly know that they're lying. Believe it or not, in our they're lying. Believe it or not, in our they're lying. Believe it or not, in our community, we're called submariners. community, we're called submariners. community, we're called submariners. Um, Um, Um, >> no way. >> no way. >> no way. >> Everyone knows that. Well, everybody >> Everyone knows that. Well, everybody >> Everyone knows that. Well, everybody who's in the club is you're a who's in the club is you're a who's in the club is you're a submariner. And and so uh it reminds me submariner. And and so uh it reminds me submariner. And and so uh it reminds me of one of those dieh hard sequels where of one of those dieh hard sequels where of one of those dieh hard sequels where Bruce Willis gets in the elevator and Bruce Willis gets in the elevator and Bruce Willis gets in the elevator and the other guys are in there and they're the other guys are in there and they're the other guys are in there and they're trying to pretend that they're good trying to pretend that they're good trying to pretend that they're good guys, but we know they're all bad guys guys, but we know they're all bad guys guys, but we know they're all bad guys and one of them mentions that it's a and one of them mentions that it's a and one of them mentions that it's a lift and not an elevator. And then lift and not an elevator. And then lift and not an elevator. And then that's how Bruce Willis knows he that's how Bruce Willis knows he that's how Bruce Willis knows he immediately turns around and kills all immediately turns around and kills all immediately turns around and kills all of them. of them. of them. >> So same kind of thing. >> So same kind of thing. >> So same kind of thing. >> Turns out that was a terrible mistake.

>> Turns out that was a terrible mistake. >> Turns out that was a terrible mistake. But But But >> well, you know, same same kind of thing >> well, you know, same same kind of thing >> well, you know, same same kind of thing though. You know, that's how I'll know though. You know, that's how I'll know though. You know, that's how I'll know that you're not really a real that you're not really a real that you're not really a real submarineer. So, submarineer. So, submarineer. So, >> I used to live in I used to live in San >> I used to live in I used to live in San >> I used to live in I used to live in San Francisco, and that's how you know if Francisco, and that's how you know if Francisco, and that's how you know if someone's not from there is they'll call someone's not from there is they'll call someone's not from there is they'll call it San Fran. it San Fran. it San Fran. >> Oh, God, I cringe whenever I hear San >> Oh, God, I cringe whenever I hear San >> Oh, God, I cringe whenever I hear San Fran. Yeah, Fran. Yeah, Fran. Yeah, >> San Francisco is worse. >> San Francisco is worse. >> San Francisco is worse. >> Remember, it's just called the city, >> Remember, it's just called the city, >> Remember, it's just called the city, >> right? >> right? >> right? >> Or as some people say SF. Some people >> Or as some people say SF. Some people >> Or as some people say SF. Some people from from the city say SF. from from the city say SF. from from the city say SF. >> Yeah, >> Yeah, >> Yeah, >> SF is the most common. >> SF is the most common. >> SF is the most common. >> Yeah, it's true. So, I knew I got to >> Yeah, it's true. So, I knew I got to >> Yeah, it's true. So, I knew I got to know Lee just from our IoT orbits and know Lee just from our IoT orbits and know Lee just from our IoT orbits and stuff like that way back when, you know. stuff like that way back when, you know. stuff like that way back when, you know. >> Yeah. >> Yeah. >> Yeah. >> And you know, and uh so tell us give us >> And you know, and uh so tell us give us >> And you know, and uh so tell us give us give us your personal background. What give us your personal background. What give us your personal background. What where did you come from? Tell us give us where did you come from? Tell us give us where did you come from? Tell us give us your story. your story. your story. >> Wait, before then that though, hey, >> Wait, before then that though, hey, >> Wait, before then that though, hey, thanks for jumping on and sponsoring thanks for jumping on and sponsoring thanks for jumping on and sponsoring this episode. You know, and when we say this episode. You know, and when we say this episode. You know, and when we say sponsored, it's not that they're g, you sponsored, it's not that they're g, you sponsored, it's not that they're g, you know, uh West is giving us money so that know, uh West is giving us money so that know, uh West is giving us money so that we all make a profit. No, this these we all make a profit. No, this these we all make a profit. No, this these proceeds go to a charity uh that we have proceeds go to a charity uh that we have proceeds go to a charity uh that we have which is Elevate Our Kids. So, uh thank which is Elevate Our Kids. So, uh thank which is Elevate Our Kids. So, uh thank you so much for that. And then remember you so much for that. And then remember you so much for that. And then remember um take us seriously at your own peril.

um take us seriously at your own peril. um take us seriously at your own peril. We've upgraded to peril from risk to We've upgraded to peril from risk to We've upgraded to peril from risk to peril. Especially don't listen to peril. Especially don't listen to peril. Especially don't listen to anything Rob says. So, especially if it anything Rob says. So, especially if it anything Rob says. So, especially if it has anything to do with equities and has anything to do with equities and has anything to do with equities and investment, it's probably investment, it's probably investment, it's probably >> Oh, I love I love talking about that >> Oh, I love I love talking about that >> Oh, I love I love talking about that stuff. Uh anything anything and stuff. Uh anything anything and stuff. Uh anything anything and everything is fair game for I'm a I'm a everything is fair game for I'm a I'm a everything is fair game for I'm a I'm a one of one of the core values at Misty one of one of the core values at Misty one of one of the core values at Misty West is transparency and um we try to West is transparency and um we try to West is transparency and um we try to that value. Yeah. It's like it's really that value. Yeah. It's like it's really that value. Yeah. It's like it's really like really I think in some ways I get like really I think in some ways I get like really I think in some ways I get myself into trouble because I I speak so myself into trouble because I I speak so myself into trouble because I I speak so freely on so many topics. I don't I freely on so many topics. I don't I freely on so many topics. I don't I don't self censor really at all. Um, but don't self censor really at all. Um, but don't self censor really at all. Um, but you know that can that can at times get you know that can that can at times get you know that can that can at times get us into trouble. But I think it's more us into trouble. But I think it's more us into trouble. But I think it's more important like you know at Misty West important like you know at Misty West important like you know at Misty West one of the things we really cherish is one of the things we really cherish is one of the things we really cherish is when our clients and our customers, our when our clients and our customers, our when our clients and our customers, our vendors, our partners, you know, um are vendors, our partners, you know, um are vendors, our partners, you know, um are are able to give us feedback and say, are able to give us feedback and say, are able to give us feedback and say, "Hey, look, like this this this is what "Hey, look, like this this this is what "Hey, look, like this this this is what can make Misty West better." And so we can make Misty West better." And so we can make Misty West better." And so we believe that culture of free speech, you believe that culture of free speech, you believe that culture of free speech, you know, makes that possible. Um and uh so know, makes that possible. Um and uh so know, makes that possible. Um and uh so yeah, like the more trouble we can get yeah, like the more trouble we can get yeah, like the more trouble we can get in today, the better, I think, is in today, the better, I think, is in today, the better, I think, is probably the way I like to think about probably the way I like to think about probably the way I like to think about it. it. it. >> We're all being in trouble. >> We're all being in trouble. >> We're all being in trouble. >> Yeah. Yeah. Yeah. I like I like that a >> Yeah. Yeah. Yeah. I like I like that a >> Yeah. Yeah. Yeah. I like I like that a lot. Um and then you know you were lot. Um and then you know you were lot. Um and then you know you were asking me about my my my own personal asking me about my my my own personal asking me about my my my own personal background. Um you know my background is background. Um you know my background is background. Um you know my background is engineering. My back my technical engineering. My back my technical engineering. My back my technical background is engineering physics. Um background is engineering physics. Um background is engineering physics. Um you know went to school at MIT uh you you know went to school at MIT uh you you know went to school at MIT uh you know a little bit later in life. Like know a little bit later in life. Like know a little bit later in life. Like I'm you know I'm kind of in my u I'm I'm you know I'm kind of in my u I'm I'm you know I'm kind of in my u I'm like midlife now at this point. Um and I like midlife now at this point. Um and I like midlife now at this point. Um and I I I was like very very lucky to kind of I I was like very very lucky to kind of I I was like very very lucky to kind of uh you know attend a program at MIT that uh you know attend a program at MIT that uh you know attend a program at MIT that kind of let me do whatever I wanted. And kind of let me do whatever I wanted. And kind of let me do whatever I wanted. And uh what I discovered is the major uh what I discovered is the major uh what I discovered is the major advantage of of American schools over uh advantage of of American schools over uh advantage of of American schools over uh Canadian schools. Canad Canada has like Canadian schools. Canad Canada has like Canadian schools. Canad Canada has like great schools, uh, great schools, but

great schools, uh, great schools, but great schools, uh, great schools, but the big difference is American schools the big difference is American schools the big difference is American schools have a lot more money. Uh, and so I I have a lot more money. Uh, and so I I have a lot more money. Uh, and so I I actually was able to get like my thesis actually was able to get like my thesis actually was able to get like my thesis project funded to like the tune of project funded to like the tune of project funded to like the tune of $100,000 or something like that, which $100,000 or something like that, which $100,000 or something like that, which would have never I don't think would would have never I don't think would would have never I don't think would have ever happened in in in Canada. have ever happened in in in Canada. have ever happened in in in Canada. >> And um and so that really kind of >> And um and so that really kind of >> And um and so that really kind of launched the second stage of my career. launched the second stage of my career. launched the second stage of my career. The first first stage of my career, you The first first stage of my career, you The first first stage of my career, you know, I founded Misty West, but my know, I founded Misty West, but my know, I founded Misty West, but my business partner ran the company without business partner ran the company without business partner ran the company without me while I lived in the US for seven me while I lived in the US for seven me while I lived in the US for seven years. So, we had this really weird years. So, we had this really weird years. So, we had this really weird business relationship. I actually don't business relationship. I actually don't business relationship. I actually don't know anyone else that has this business know anyone else that has this business know anyone else that has this business relationship where we founded the relationship where we founded the relationship where we founded the company together. I I was sort of the company together. I I was sort of the company together. I I was sort of the main sales guy at the beginning. Not main sales guy at the beginning. Not main sales guy at the beginning. Not that I'm a salesperson at all, but I my that I'm a salesperson at all, but I my that I'm a salesperson at all, but I my my background in engineering and my my background in engineering and my my background in engineering and my background in like large scale background in like large scale background in like large scale sculptures and things like that made it sculptures and things like that made it sculptures and things like that made it possible for me to network pretty possible for me to network pretty possible for me to network pretty easily. And so, I found a bunch of early easily. And so, I found a bunch of early easily. And so, I found a bunch of early customers uh and uh you know, some customers uh and uh you know, some customers uh and uh you know, some fairly big ones. And then I left to the fairly big ones. And then I left to the fairly big ones. And then I left to the US, left I didn't leave Misty West per US, left I didn't leave Misty West per US, left I didn't leave Misty West per se, but I reduced my hours to zero and se, but I reduced my hours to zero and se, but I reduced my hours to zero and and took no salary. And my business and took no salary. And my business and took no salary. And my business partner ran that company, Misty West, as partner ran that company, Misty West, as partner ran that company, Misty West, as the sole owner, not sole owner, but the the sole owner, not sole owner, but the the sole owner, not sole owner, but the the only owner in Vancouver. And he grew the only owner in Vancouver. And he grew the only owner in Vancouver. And he grew it to about 2 million in revenue. And um it to about 2 million in revenue. And um it to about 2 million in revenue. And um maybe two and a half million in revenue maybe two and a half million in revenue maybe two and a half million in revenue around there. And um but then he moved around there. And um but then he moved around there. And um but then he moved to Australia and uh my mom got sick and to Australia and uh my mom got sick and to Australia and uh my mom got sick and I had, you know, I had to go back to I had, you know, I had to go back to I had, you know, I had to go back to Canada and I thought, well, this is Canada and I thought, well, this is Canada and I thought, well, this is perfect timing. I'll just I'll just run perfect timing. I'll just I'll just run perfect timing. I'll just I'll just run Misty West when you go to Australia. And Misty West when you go to Australia. And Misty West when you go to Australia. And and then but I but I knew I wasn't cut and then but I but I knew I wasn't cut and then but I but I knew I wasn't cut out to be a CEO. I'm not that's not out to be a CEO. I'm not that's not out to be a CEO. I'm not that's not really my my forte in life. So I we really my my forte in life. So I we really my my forte in life. So I we found a CEO within the company. We found a CEO within the company. We found a CEO within the company. We promoted him. His name is Taylor Cooper.

promoted him. His name is Taylor Cooper. promoted him. His name is Taylor Cooper. Uh brilliant brilliant man, super like Uh brilliant brilliant man, super like Uh brilliant brilliant man, super like crazy hard work ethic, excellent crazy hard work ethic, excellent crazy hard work ethic, excellent strategist. Um and had a bunch of the strategist. Um and had a bunch of the strategist. Um and had a bunch of the qualities that I don't have, frankly, in qualities that I don't have, frankly, in qualities that I don't have, frankly, in terms of just like focus on goals and terms of just like focus on goals and terms of just like focus on goals and OKRs and things like this. And um I'm OKRs and things like this. And um I'm OKRs and things like this. And um I'm more on that sort of creative side of more on that sort of creative side of more on that sort of creative side of things, so to speak. And um so Josh Josh things, so to speak. And um so Josh Josh things, so to speak. And um so Josh Josh Josh left and I I've been running the Josh left and I I've been running the Josh left and I I've been running the company now with Taylor as partners for company now with Taylor as partners for company now with Taylor as partners for the last uh five and a half six years the last uh five and a half six years the last uh five and a half six years and we've now got to we're now coming up and we've now got to we're now coming up and we've now got to we're now coming up on about 6 million in revenue. So grown on about 6 million in revenue. So grown on about 6 million in revenue. So grown the company, yeah, grow grown the the company, yeah, grow grown the the company, yeah, grow grown the company substantially. Um, largely due company substantially. Um, largely due company substantially. Um, largely due to Taylor's efforts on focus, focus, to Taylor's efforts on focus, focus, to Taylor's efforts on focus, focus, focus enough. Don't try to do focus enough. Don't try to do focus enough. Don't try to do everything. Just narrow your focus down everything. Just narrow your focus down everything. Just narrow your focus down >> focus. >> focus. >> focus. >> Yeah. Specific technology, specific >> Yeah. Specific technology, specific >> Yeah. Specific technology, specific industries. That was kind of the key. industries. That was kind of the key. industries. That was kind of the key. And um, and yeah, and and where I'm kind And um, and yeah, and and where I'm kind And um, and yeah, and and where I'm kind of at now in my career trajectory is of at now in my career trajectory is of at now in my career trajectory is I've kind of done the the artist I've kind of done the the artist I've kind of done the the artist sculptor thing in the beginning. I where sculptor thing in the beginning. I where sculptor thing in the beginning. I where we built the Mondo Spider. I don't know we built the Mondo Spider. I don't know we built the Mondo Spider. I don't know if you guys ever saw that. Yeah, let's if you guys ever saw that. Yeah, let's if you guys ever saw that. Yeah, let's talk about that at some point. talk about that at some point. talk about that at some point. >> Yeah, you can bring that up whenever you >> Yeah, you can bring that up whenever you >> Yeah, you can bring that up whenever you want. It's a eight-legged walking want. It's a eight-legged walking want. It's a eight-legged walking machine. I have to talk more about it.

machine. I have to talk more about it. machine. I have to talk more about it. Founded a founded a founded a non a Founded a founded a founded a non a Founded a founded a founded a non a nonprofit called the Eat Art Foundation. nonprofit called the Eat Art Foundation. nonprofit called the Eat Art Foundation. Uh so I spent a lot of time in the again Uh so I spent a lot of time in the again Uh so I spent a lot of time in the again the first half of my career in the the first half of my career in the the first half of my career in the nonprofit sector just making like no nonprofit sector just making like no nonprofit sector just making like no money basically. money basically. money basically. >> Um and um building >> Um and um building >> Um and um building >> streets. >> streets. >> streets. >> Yeah. >> Yeah. >> Yeah. >> Well, it was I was lucky actually. I I I >> Well, it was I was lucky actually. I I I >> Well, it was I was lucky actually. I I I was living in like roommate situations was living in like roommate situations was living in like roommate situations where like you're living in Vancouver where like you're living in Vancouver where like you're living in Vancouver there's tons of these houses that are there's tons of these houses that are there's tons of these houses that are going to get demolished for for going to get demolished for for going to get demolished for for developments developments developments >> and the so the rent is super cheap and >> and the so the rent is super cheap and >> and the so the rent is super cheap and you just pile a bunch of people into the you just pile a bunch of people into the you just pile a bunch of people into the house together like you'll have like house together like you'll have like house together like you'll have like seven people living in one of these seven people living in one of these seven people living in one of these >> like crappy dilapitated mansions and um >> like crappy dilapitated mansions and um >> like crappy dilapitated mansions and um and they they tend to be like party and they they tend to be like party and they they tend to be like party houses so like the way the way you pay houses so like the way the way you pay houses so like the way the way you pay the rent is you throw big parties and the rent is you throw big parties and the rent is you throw big parties and then like so so I was actually pretty then like so so I was actually pretty then like so so I was actually pretty lucky. I was I live like I can live lucky. I was I live like I can live lucky. I was I live like I can live like not maybe not anymore now that I like not maybe not anymore now that I like not maybe not anymore now that I have two kids and a wife, but but like have two kids and a wife, but but like have two kids and a wife, but but like three kids like I'm able to live on like three kids like I'm able to live on like three kids like I'm able to live on like a shoestring budget, which is uh a key a shoestring budget, which is uh a key a shoestring budget, which is uh a key requirement, I think, for a good requirement, I think, for a good requirement, I think, for a good entrepreneur in some ways. entrepreneur in some ways. entrepreneur in some ways. >> And I would never expect to hear >> And I would never expect to hear >> And I would never expect to hear anything about like a really super cheap anything about like a really super cheap anything about like a really super cheap anything in the city of Vancouver. So, anything in the city of Vancouver. So, anything in the city of Vancouver. So, you've broken new ground here.

you've broken new ground here. you've broken new ground here. >> Yeah, there's a bunch of things that are >> Yeah, there's a bunch of things that are >> Yeah, there's a bunch of things that are cheap in Vancouver. cheap in Vancouver. cheap in Vancouver. >> Everybody knows about how pricey >> Everybody knows about how pricey >> Everybody knows about how pricey Vancouver is. So, that's interesting. Vancouver is. So, that's interesting. Vancouver is. So, that's interesting. >> That's just to keep people out, man. >> That's just to keep people out, man. >> That's just to keep people out, man. That's just to keep people That's just to keep people That's just to keep people >> Okay. First of all, our real estate is >> Okay. First of all, our real estate is >> Okay. First of all, our real estate is significantly cheaper than San significantly cheaper than San significantly cheaper than San Francisco. Francisco. Francisco. >> Uh like like a fra fraction of the cost >> Uh like like a fra fraction of the cost >> Uh like like a fra fraction of the cost of San Francisco, New York, like dollar of San Francisco, New York, like dollar of San Francisco, New York, like dollar per square foot. Like we're nowhere per square foot. Like we're nowhere per square foot. Like we're nowhere nowhere near the same ballpark. Why nowhere near the same ballpark. Why nowhere near the same ballpark. Why people say it's expensive to live in people say it's expensive to live in people say it's expensive to live in Vancouver is our wages are lower. Vancouver is our wages are lower. Vancouver is our wages are lower. >> Our wages are our wages are a lot lower >> Our wages are our wages are a lot lower >> Our wages are our wages are a lot lower in our wages are lower in Vancouver than in our wages are lower in Vancouver than in our wages are lower in Vancouver than they are in Seattle. they are in Seattle. they are in Seattle. >> You know, we're right now. >> You know, we're right now. >> You know, we're right now. >> Interesting. Wow. >> Interesting. Wow. >> Interesting. Wow. >> Yeah. So, it's expensive city relative >> Yeah. So, it's expensive city relative >> Yeah. So, it's expensive city relative to salary, but in terms of like real to salary, but in terms of like real to salary, but in terms of like real estate prices, like estate prices, like estate prices, like >> it's like not, you know, >> it's like not, you know, >> it's like not, you know, >> um, but there is something weird >> um, but there is something weird >> um, but there is something weird happening in Vancouver that you guys happening in Vancouver that you guys happening in Vancouver that you guys might not know about, might not know about, might not know about, >> which is that there's mountains to the >> which is that there's mountains to the >> which is that there's mountains to the north, north, north, >> agricultural farmland to the east, which >> agricultural farmland to the east, which >> agricultural farmland to the east, which is protected under the ALR, so you can't is protected under the ALR, so you can't is protected under the ALR, so you can't you can't develop it. There's America to you can't develop it. There's America to you can't develop it. There's America to the south, and then there's ocean to the the south, and then there's ocean to the the south, and then there's ocean to the west. So, Vancouver is squished up in a west. So, Vancouver is squished up in a west. So, Vancouver is squished up in a very small area, and it has to grow very small area, and it has to grow very small area, and it has to grow upwards. Uh so it's a city on the grow upwards. Uh so it's a city on the grow upwards. Uh so it's a city on the grow and that does that does push uh the and that does that does push uh the and that does that does push uh the value of the dirt upwards pretty pretty value of the dirt upwards pretty pretty value of the dirt upwards pretty pretty rapidly and it shapes our economy. It rapidly and it shapes our economy. It rapidly and it shapes our economy. It means that when tech startups like you means that when tech startups like you means that when tech startups like you know an IoT tech startup has a big exit know an IoT tech startup has a big exit know an IoT tech startup has a big exit in Vancouver. What do you think they do in Vancouver. What do you think they do in Vancouver. What do you think they do with the money?

with the money? with the money? >> North Vancouver >> North Vancouver >> North Vancouver >> they buy real estate. Yeah. Yeah, they >> they buy real estate. Yeah. Yeah, they >> they buy real estate. Yeah. Yeah, they buy real estate in North North Vancouver buy real estate in North North Vancouver buy real estate in North North Vancouver or whatever, West Vancouver. or whatever, West Vancouver. or whatever, West Vancouver. >> And rather than, you know, reinvesting >> And rather than, you know, reinvesting >> And rather than, you know, reinvesting that money back into the into the IoT that money back into the into the IoT that money back into the into the IoT economy, back into the uh the hardware, economy, back into the uh the hardware, economy, back into the uh the hardware, hard tech, deep tech um startup economy, hard tech, deep tech um startup economy, hard tech, deep tech um startup economy, which is a big big problem here. which is a big big problem here. which is a big big problem here. >> Yeah. You know, Seattle has this weird >> Yeah. You know, Seattle has this weird >> Yeah. You know, Seattle has this weird deal cuz it's squished together by the deal cuz it's squished together by the deal cuz it's squished together by the Puet Sound on one side and Lake Puet Sound on one side and Lake Puet Sound on one side and Lake Washington on the other. And so Seattle Washington on the other. And so Seattle Washington on the other. And so Seattle is actually just a narrow north and is actually just a narrow north and is actually just a narrow north and south strip of land is and and a lot of south strip of land is and and a lot of south strip of land is and and a lot of people don't realize that until you are people don't realize that until you are people don't realize that until you are flying into the city, you know, coming flying into the city, you know, coming flying into the city, you know, coming back home or whatever on a plane and you back home or whatever on a plane and you back home or whatever on a plane and you from that perspective, you go, "Oh, wow. from that perspective, you go, "Oh, wow. from that perspective, you go, "Oh, wow. Seattle's just this little thin strip of Seattle's just this little thin strip of Seattle's just this little thin strip of land. It's no wonder that we have such land. It's no wonder that we have such land. It's no wonder that we have such bad traffic or you know, because there's bad traffic or you know, because there's bad traffic or you know, because there's nowhere to go. It's not like a city nowhere to go. It's not like a city nowhere to go. It's not like a city that's hub and spoke and has land going that's hub and spoke and has land going that's hub and spoke and has land going all over the place, you know, something. all over the place, you know, something. all over the place, you know, something. >> Yeah. Which is probably why we had so >> Yeah. Which is probably why we had so >> Yeah. Which is probably why we had so much so much of the growth since the '9s much so much of the growth since the '9s much so much of the growth since the '9s has been on the east side, you know. has been on the east side, you know. has been on the east side, you know. >> Yep.

>> Yep. >> Yep. >> Belle, Redmond, it's like all that. >> Belle, Redmond, it's like all that. >> Belle, Redmond, it's like all that. >> And Austin, too, I think, is going >> And Austin, too, I think, is going >> And Austin, too, I think, is going vertical as a city. I mean, vertical as a city. I mean, vertical as a city. I mean, >> yeah. Austin didn't used to have >> yeah. Austin didn't used to have >> yeah. Austin didn't used to have skyscrapers. skyscrapers. skyscrapers. >> No, now it's like >> No, now it's like >> No, now it's like >> now they do. It's crazy town. I do love >> now they do. It's crazy town. I do love >> now they do. It's crazy town. I do love going to the east as you say to the going to the east as you say to the going to the east as you say to the Okonagan Okonagan Okonagan for the wine country out there, you for the wine country out there, you for the wine country out there, you know. Uh my wife and I have been doing know. Uh my wife and I have been doing know. Uh my wife and I have been doing the wine thing. You know what? Ayos, the wine thing. You know what? Ayos, the wine thing. You know what? Ayos, Oliver, Oliver, Oliver, >> Tikton, Colona. >> Tikton, Colona. >> Tikton, Colona. >> Yep. >> Yep. >> Yep. >> Summerland, all that. All >> Summerland, all that. All >> Summerland, all that. All >> awesome. L sitting there going, Rob, >> awesome. L sitting there going, Rob, >> awesome. L sitting there going, Rob, what are you talking about? We're what are you talking about? We're what are you talking about? We're talking about wine, baby, because that's talking about wine, baby, because that's talking about wine, baby, because that's really all that matters, especially in really all that matters, especially in really all that matters, especially in this crisis this crisis this crisis >> is good for as well. >> is good for as well. >> is good for as well. >> We're in a crisis mode in the wine >> We're in a crisis mode in the wine >> We're in a crisis mode in the wine industry. Maybe spirits as well. I uh industry. Maybe spirits as well. I uh industry. Maybe spirits as well. I uh and Washington wine's a big deal. It's and Washington wine's a big deal. It's and Washington wine's a big deal. It's close to my heart because I know a lot close to my heart because I know a lot close to my heart because I know a lot of people in the industry, wine sales of people in the industry, wine sales of people in the industry, wine sales are down dramatically. Uh are down dramatically. Uh are down dramatically. Uh >> kids aren't drinking, man. The kids >> kids aren't drinking, man. The kids >> kids aren't drinking, man. The kids aren't having aren't having aren't having >> kids are not You're not They're not >> kids are not You're not They're not >> kids are not You're not They're not drinking. What's going on?

drinking. What's going on? drinking. What's going on? >> They're not They're not having sex. >> They're not They're not having sex. >> They're not They're not having sex. They're not drinking. They're playing They're not drinking. They're playing They're not drinking. They're playing video games. video games. video games. >> Are they They're doing other >> Are they They're doing other >> Are they They're doing other >> are they taking edibles instead of >> are they taking edibles instead of >> are they taking edibles instead of drinking booze? drinking booze? drinking booze? >> I think a little bit. There's I think >> I think a little bit. There's I think >> I think a little bit. There's I think edibles are up. Yeah, edibles are up. Uh edibles are up. Yeah, edibles are up. Uh edibles are up. Yeah, edibles are up. Uh vape vaping is up. vape vaping is up. vape vaping is up. >> Vaping video claw. >> Vaping video claw. >> Vaping video claw. >> Yeah. AI AI >> Yeah. AI AI >> Yeah. AI AI >> and AI girlfriend. >> and AI girlfriend. >> and AI girlfriend. >> Yeah. AI girlfriends and White Claw. I >> Yeah. AI girlfriends and White Claw. I >> Yeah. AI girlfriends and White Claw. I think that's think that's think that's >> Yeah, I think that's what's going on >> Yeah, I think that's what's going on >> Yeah, I think that's what's going on there, there, there, >> you know. So you But they're drinking >> you know. So you But they're drinking >> you know. So you But they're drinking They're drinking like they're drinking They're drinking like they're drinking They're drinking like they're drinking mocktails, though. mocktails, though. mocktails, though. >> Yeah. Yeah. Yeah, actually mocktails are >> Yeah. Yeah. Yeah, actually mocktails are >> Yeah. Yeah. Yeah, actually mocktails are really a big growth area. really a big growth area. really a big growth area. >> Yeah. >> Yeah. >> Yeah. >> Yeah. Maybe we should go into that >> Yeah. Maybe we should go into that >> Yeah. Maybe we should go into that sugars. sugars. sugars. >> That's what you should instead. >> That's what you should instead. >> That's what you should instead. >> I know. IoT connected mocktails. >> I know. IoT connected mocktails. >> I know. IoT connected mocktails. >> Oh, >> Oh, >> Oh, oh, wow. oh, wow. oh, wow. >> There you go. >> There you go. >> There you go. >> Change. >> Change. >> Change. >> I love that. >> I love that. >> I love that. >> Le I I was uh Leah, I was um curious. So >> Le I I was uh Leah, I was um curious. So >> Le I I was uh Leah, I was um curious. So I mean so you work with primarily I mean so you work with primarily I mean so you work with primarily uh design houses. I mean how do your uh design houses. I mean how do your uh design houses. I mean how do your customers approach you or what are what customers approach you or what are what customers approach you or what are what are the markets that you or how do you are the markets that you or how do you are the markets that you or how do you approach the market?

approach the market? approach the market? >> Yeah, no problem. Yeah, I wouldn't say >> Yeah, no problem. Yeah, I wouldn't say >> Yeah, no problem. Yeah, I wouldn't say we work primarily with design houses. I we work primarily with design houses. I we work primarily with design houses. I I would say I would say I would say >> over the last 10 years several of our >> over the last 10 years several of our >> over the last 10 years several of our biggest customers came to us through an biggest customers came to us through an biggest customers came to us through an through industrial through industrial through industrial designers designers designers >> but uh and then in some cases like we >> but uh and then in some cases like we >> but uh and then in some cases like we work directly for for IDO um you know work directly for for IDO um you know work directly for for IDO um you know we've we've worked um uh we've worked on we've we've worked um uh we've worked on we've we've worked um uh we've worked on quite a few projects where where the the quite a few projects where where the the quite a few projects where where the the primary contractor was the industrial primary contractor was the industrial primary contractor was the industrial design house and then they subcontracted design house and then they subcontracted design house and then they subcontracted to us. But uh what's more even more to us. But uh what's more even more to us. But uh what's more even more common than that is the industrial common than that is the industrial common than that is the industrial design house brings us in and then we design house brings us in and then we design house brings us in and then we contract directly to the client. Um I contract directly to the client. Um I contract directly to the client. Um I would say that's probably even more would say that's probably even more would say that's probably even more common. And uh the biggest clients right common. And uh the biggest clients right common. And uh the biggest clients right now are are Medronic, Google. Uh we have now are are Medronic, Google. Uh we have now are are Medronic, Google. Uh we have um uh we did we worked on Quest we um uh we did we worked on Quest we um uh we did we worked on Quest we worked on the Quest 3 for Meta. worked on the Quest 3 for Meta. worked on the Quest 3 for Meta. >> Uh that was fun project. Um we've done >> Uh that was fun project. Um we've done >> Uh that was fun project. Um we've done work for Intel. We built a 3D display work for Intel. We built a 3D display work for Intel. We built a 3D display for for Intel. Um, and uh, we built a an for for Intel. Um, and uh, we built a an for for Intel. Um, and uh, we built a an IoT connected uh, traffic direction sign IoT connected uh, traffic direction sign IoT connected uh, traffic direction sign for uh, Amazon. Um, we did a mosquito for uh, Amazon. Um, we did a mosquito for uh, Amazon. Um, we did a mosquito trap for uh, Microsoft trap for uh, Microsoft trap for uh, Microsoft um, for for helping combat um, for um, for for helping combat um, for um, for for helping combat um, for helping like figure out where viruses helping like figure out where viruses helping like figure out where viruses are spreading and things like this to are spreading and things like this to are spreading and things like this to help combat malaria.

help combat malaria. help combat malaria. >> Um, and uh, with the IDO we worked on a >> Um, and uh, with the IDO we worked on a >> Um, and uh, with the IDO we worked on a polar bear tracker. Um, that was a polar bear tracker. Um, that was a polar bear tracker. Um, that was a pretty fun project. satellite connected pretty fun project. satellite connected pretty fun project. satellite connected IoT, you know, polar bear tracker. IoT, you know, polar bear tracker. IoT, you know, polar bear tracker. >> Um, >> Um, >> Um, >> and uh um yeah, there's a bunch of other >> and uh um yeah, there's a bunch of other >> and uh um yeah, there's a bunch of other big we Oh, we did a huge project big we Oh, we did a huge project big we Oh, we did a huge project recently for Avery Dennis. Uh that was recently for Avery Dennis. Uh that was recently for Avery Dennis. Uh that was an amazing project. I can't talk about an amazing project. I can't talk about an amazing project. I can't talk about that at all. that at all. that at all. >> Sure. Sure. >> Sure. Sure. >> Sure. Sure. >> It's so it's so fresh that it's uh not >> It's so it's so fresh that it's uh not >> It's so it's so fresh that it's uh not public information yet, but um and uh public information yet, but um and uh public information yet, but um and uh yeah, so we're we like I would say like yeah, so we're we like I would say like yeah, so we're we like I would say like more than half of our revenue comes from more than half of our revenue comes from more than half of our revenue comes from like large Fortune 1000 US companies. like large Fortune 1000 US companies. like large Fortune 1000 US companies. Um, and then probably about 40, it it Um, and then probably about 40, it it Um, and then probably about 40, it it fluctuates, but somewhere around 40 to fluctuates, but somewhere around 40 to fluctuates, but somewhere around 40 to 50% of our revenue will come from 50% of our revenue will come from 50% of our revenue will come from startup companies, like really wellunded startup companies, like really wellunded startup companies, like really wellunded series A and beyond startups. series A and beyond startups. series A and beyond startups. >> Okay. So, are you guys doing I mean, it >> Okay. So, are you guys doing I mean, it >> Okay. So, are you guys doing I mean, it sounds like you're doing like early sounds like you're doing like early sounds like you're doing like early stage product development or even, you stage product development or even, you stage product development or even, you know, technical PC type stuff. I mean, know, technical PC type stuff. I mean, know, technical PC type stuff. I mean, that's what it sounds like. Am I right that's what it sounds like. Am I right that's what it sounds like. Am I right or wrong?

or wrong? or wrong? >> Yeah. about about a third of our revenue >> Yeah. about about a third of our revenue >> Yeah. about about a third of our revenue comes from proof of concept prototypes comes from proof of concept prototypes comes from proof of concept prototypes um and about a third comes from like um and about a third comes from like um and about a third comes from like commercialization efforts. So we're commercialization efforts. So we're commercialization efforts. So we're we're kind of like you know turnkey from we're kind of like you know turnkey from we're kind of like you know turnkey from start to finish all the way from concept start to finish all the way from concept start to finish all the way from concept to manufacturing. And so so for example to manufacturing. And so so for example to manufacturing. And so so for example like um I I in this case I can't really like um I I in this case I can't really like um I I in this case I can't really name names but one of our largest name names but one of our largest name names but one of our largest clients um all we're doing is clients um all we're doing is clients um all we're doing is commercially commercial production commercially commercial production commercially commercial production firmware. That's it. No mechanical firmware. That's it. No mechanical firmware. That's it. No mechanical engineering, no electrical. We're just engineering, no electrical. We're just engineering, no electrical. We're just writing firmware that's going straight writing firmware that's going straight writing firmware that's going straight to the customers and being commercially to the customers and being commercially to the customers and being commercially deployed. deployed. deployed. >> Classic firmware uh you know >> Classic firmware uh you know >> Classic firmware uh you know commercialization stuff. commercialization stuff. commercialization stuff. >> You got it. Yep. That's right. Yeah. So >> You got it. Yep. That's right. Yeah. So >> You got it. Yep. That's right. Yeah. So we do we a lot of our revenue comes from we do we a lot of our revenue comes from we do we a lot of our revenue comes from that commercialization work. I like I that commercialization work. I like I that commercialization work. I like I said about a third of it comes from that said about a third of it comes from that said about a third of it comes from that and about a third comes from from proof and about a third comes from from proof and about a third comes from from proof of concepts and then about a third comes of concepts and then about a third comes of concepts and then about a third comes from what we like to call functional or from what we like to call functional or from what we like to call functional or integrated prototypes. So they're integrated prototypes. So they're integrated prototypes. So they're they're not quite commercialized yet but they're not quite commercialized yet but they're not quite commercialized yet but they're not proof of concepts either. they're not proof of concepts either. they're not proof of concepts either. They're not early stage. We might have They're not early stage. We might have They're not early stage. We might have already built 10 prototypes, but the but already built 10 prototypes, but the but already built 10 prototypes, but the but this functional integrated prototype, this functional integrated prototype, this functional integrated prototype, the goal of it is to get you to an alpha the goal of it is to get you to an alpha the goal of it is to get you to an alpha production prototype. So, do you guys production prototype. So, do you guys production prototype. So, do you guys take things out to like scale out if take things out to like scale out if take things out to like scale out if you're, you know, um, one of your you're, you know, um, one of your you're, you know, um, one of your clients wants to go to market because clients wants to go to market because clients wants to go to market because sounds like a lot of the applications sounds like a lot of the applications sounds like a lot of the applications that you guys are, uh, supporting the that you guys are, uh, supporting the that you guys are, uh, supporting the development of and and commercializing development of and and commercializing development of and and commercializing are application specific things like, are application specific things like, are application specific things like, you know, I I don't know what kind of you know, I I don't know what kind of you know, I I don't know what kind of work you guys do in mining, but do these work you guys do in mining, but do these work you guys do in mining, but do these tend to be more of those like, let's tend to be more of those like, let's tend to be more of those like, let's say, high value, difficult to um, you

say, high value, difficult to um, you say, high value, difficult to um, you know, design and develop type know, design and develop type know, design and develop type applications. ations or applications. ations or applications. ations or um the the more mass scale generic type um the the more mass scale generic type um the the more mass scale generic type um hardware or system solutions. um hardware or system solutions. um hardware or system solutions. >> Yeah, that's a great question. Um yeah, >> Yeah, that's a great question. Um yeah, >> Yeah, that's a great question. Um yeah, so first of all, I should point out that so first of all, I should point out that so first of all, I should point out that like we're we're riding the waves, like we're we're riding the waves, like we're we're riding the waves, right? Like I where where do we see right? Like I where where do we see right? Like I where where do we see economic growth in in in the US economic growth in in in the US economic growth in in in the US globally? You know, very very obviously globally? You know, very very obviously globally? You know, very very obviously we see it in like data centers for AI. we see it in like data centers for AI. we see it in like data centers for AI. We see it in AI more generally. Um but We see it in AI more generally. Um but We see it in AI more generally. Um but what does that mean? Well, it it means what does that mean? Well, it it means what does that mean? Well, it it means we're going to need a lot more energy. we're going to need a lot more energy. we're going to need a lot more energy. So, energy tech is like taking off like So, energy tech is like taking off like So, energy tech is like taking off like crazy, obviously. You know, this is this crazy, obviously. You know, this is this crazy, obviously. You know, this is this just go kind of goes without saying. Um, just go kind of goes without saying. Um, just go kind of goes without saying. Um, but what does that mean? Well, it means but what does that mean? Well, it means but what does that mean? Well, it means that we're going to need a lot of that we're going to need a lot of that we're going to need a lot of critical minerals. All right? We're critical minerals. All right? We're critical minerals. All right? We're going to need a lot of copper. Um, you going to need a lot of copper. Um, you going to need a lot of copper. Um, you know, we're going to need a lot of know, we're going to need a lot of know, we're going to need a lot of pretty much all metals. So, m so mining pretty much all metals. So, m so mining pretty much all metals. So, m so mining is just booming, like absolutely booming is just booming, like absolutely booming is just booming, like absolutely booming globally. and um and and as and and it's globally. and um and and as and and it's globally. and um and and as and and it's pretty environmentally disastrous to pretty environmentally disastrous to pretty environmentally disastrous to just take old technology and old just take old technology and old just take old technology and old techniques and just like mine the earth, techniques and just like mine the earth, techniques and just like mine the earth, you know, just destroy the earth in the you know, just destroy the earth in the you know, just destroy the earth in the process of getting these critical process of getting these critical process of getting these critical minerals. And we're very against that.

minerals. And we're very against that. minerals. And we're very against that. And so what we realized is that there's And so what we realized is that there's And so what we realized is that there's this huge opportunity to develop mining this huge opportunity to develop mining this huge opportunity to develop mining technologies that are way way way technologies that are way way way technologies that are way way way cleaner, um much more efficient, and cleaner, um much more efficient, and cleaner, um much more efficient, and much more precise about where you get much more precise about where you get much more precise about where you get the materials from. So if you don't have the materials from. So if you don't have the materials from. So if you don't have like if you're doing a big open pit like if you're doing a big open pit like if you're doing a big open pit mine, you know, instead of just digging mine, you know, instead of just digging mine, you know, instead of just digging in places where you don't need to be in places where you don't need to be in places where you don't need to be digging, just dig where the minerals digging, just dig where the minerals digging, just dig where the minerals are. And and so that's that's an example are. And and so that's that's an example are. And and so that's that's an example of the type of technology that we work of the type of technology that we work of the type of technology that we work on. So one one of our biggest mining on. So one one of our biggest mining on. So one one of our biggest mining tech clients is a company called Idon uh tech clients is a company called Idon uh tech clients is a company called Idon uh in in Vancouver. And uh we built them uh in in Vancouver. And uh we built them uh in in Vancouver. And uh we built them uh we designed and built them a muon we designed and built them a muon we designed and built them a muon tomography device that fits into a bore tomography device that fits into a bore tomography device that fits into a bore hole. Uh so this is this had never been hole. Uh so this is this had never been hole. Uh so this is this had never been done before. People said it couldn't be done before. People said it couldn't be done before. People said it couldn't be done um because normally a done um because normally a done um because normally a muontomography devices are so big, muontomography devices are so big, muontomography devices are so big, right? They're very big and very right? They're very big and very right? They're very big and very expensive. And we we miniaturized it. expensive. And we we miniaturized it. expensive. And we we miniaturized it. This is like a common thread in what we This is like a common thread in what we This is like a common thread in what we do is like miniaturization, do is like miniaturization, do is like miniaturization, ruggedization, ruggedization, ruggedization, um getting the bomb cost down um and um getting the bomb cost down um and um getting the bomb cost down um and then you know bu building it in such a then you know bu building it in such a then you know bu building it in such a way that it that it meets a very way that it that it meets a very way that it that it meets a very specific need. You said application specific need. You said application specific need. You said application specific. I think you kind of hit the specific. I think you kind of hit the specific. I think you kind of hit the nail on the head there. you know, we're nail on the head there. you know, we're nail on the head there. you know, we're we're not really building we r very very we're not really building we r very very we're not really building we r very very rarely build these generic consumer rarely build these generic consumer rarely build these generic consumer devices that are one-sizefits-all devices that are one-sizefits-all devices that are one-sizefits-all design devices, right? I mean, that was design devices, right? I mean, that was design devices, right? I mean, that was like the IoT play for quite some time is like the IoT play for quite some time is like the IoT play for quite some time is to try to scale with generic to try to scale with generic to try to scale with generic interoperable, you know, standardized interoperable, you know, standardized interoperable, you know, standardized blah blah blah. Um, that didn't scale blah blah blah. Um, that didn't scale blah blah blah. Um, that didn't scale economically. So, I was just trying to economically. So, I was just trying to economically. So, I was just trying to get a feel for how you guys are get a feel for how you guys are get a feel for how you guys are approaching um the market opportunities

approaching um the market opportunities approaching um the market opportunities and where and so yeah, this is good and where and so yeah, this is good and where and so yeah, this is good information. information. information. >> Yeah. I had a quick question, Lee, are >> Yeah. I had a quick question, Lee, are >> Yeah. I had a quick question, Lee, are you guys doing any model AI? You you guys doing any model AI? You you guys doing any model AI? You mentioned about AI model development or mentioned about AI model development or mentioned about AI model development or training and like doing it for like some training and like doing it for like some training and like doing it for like some of these very bespoke applications. Is of these very bespoke applications. Is of these very bespoke applications. Is that something you're doing in house as that something you're doing in house as that something you're doing in house as well? well? well? >> Yeah, that's a great question. Uh we we >> Yeah, that's a great question. Uh we we >> Yeah, that's a great question. Uh we we started doing that fairly recently. Um started doing that fairly recently. Um started doing that fairly recently. Um and so we we built this psalm a few and so we we built this psalm a few and so we we built this psalm a few years back uh called Misty Psalm. It's years back uh called Misty Psalm. It's years back uh called Misty Psalm. It's based on a Renaissance RZ V2L chip. So, based on a Renaissance RZ V2L chip. So, based on a Renaissance RZ V2L chip. So, it has a one it can do one tops uh it it has a one it can do one tops uh it it has a one it can do one tops uh it has a neural neural processing unit for has a neural neural processing unit for has a neural neural processing unit for for matrix math and it um now the thing for matrix math and it um now the thing for matrix math and it um now the thing the thing with it is like it's like not the thing with it is like it's like not the thing with it is like it's like not that super powerful but what's wonderful that super powerful but what's wonderful that super powerful but what's wonderful about it is that it uses less than 5 about it is that it uses less than 5 about it is that it uses less than 5 watts of power. watts of power. watts of power. >> Uh and so it has no no heat sink, no fan >> Uh and so it has no no heat sink, no fan >> Uh and so it has no no heat sink, no fan um and it's infrastructure independent um and it's infrastructure independent um and it's infrastructure independent in the sense that it's a true edge in the sense that it's a true edge in the sense that it's a true edge compute device that can operate without compute device that can operate without compute device that can operate without the grid or any kind of connectivity the grid or any kind of connectivity the grid or any kind of connectivity whatsoever. Right. whatsoever. Right. whatsoever. Right. >> And so you you can you can run this >> And so you you can you can run this >> And so you you can you can run this thing on a solar panel and like a small thing on a solar panel and like a small thing on a solar panel and like a small battery pack, battery pack, battery pack, >> right? >> right? >> right? >> Um and so it's it's really great for >> Um and so it's it's really great for >> Um and so it's it's really great for inference at the edge. You use it for inference at the edge. You use it for inference at the edge. You use it for smart cameras, security cameras. Um like smart cameras, security cameras. Um like smart cameras, security cameras. Um like my favorite application is like my favorite application is like my favorite application is like detecting invasive species or like uh detecting invasive species or like uh detecting invasive species or like uh endangered species like an animal endangered species like an animal endangered species like an animal camera. Um and then there's other camera. Um and then there's other camera. Um and then there's other applications too like like our first applications too like like our first applications too like like our first commercial deployment of the technology commercial deployment of the technology commercial deployment of the technology was an airport. Uh they're man was an airport. Uh they're man was an airport. Uh they're man monitoring truck traffic uh YVR airport monitoring truck traffic uh YVR airport monitoring truck traffic uh YVR airport uh truck traffic driving on and off the uh truck traffic driving on and off the uh truck traffic driving on and off the island. Um, and so yeah, I could tell island. Um, and so yeah, I could tell island. Um, and so yeah, I could tell you like that's a logging truck or you like that's a logging truck or you like that's a logging truck or that's a a cement truck or this is how that's a a cement truck or this is how that's a a cement truck or this is how many axles that semi-truck has. Um, and many axles that semi-truck has. Um, and many axles that semi-truck has. Um, and so we we've actually gotten quite good

so we we've actually gotten quite good so we we've actually gotten quite good at training machine learning models for at training machine learning models for at training machine learning models for our own hardware. So we're we're our own hardware. So we're we're our own hardware. So we're we're definitely not like a cloud IO we're not definitely not like a cloud IO we're not definitely not like a cloud IO we're not a cloud machine learning house. Uh there a cloud machine learning house. Uh there a cloud machine learning house. Uh there are people out there that that's are people out there that that's are people out there that that's >> Yeah, there's companies out there that's >> Yeah, there's companies out there that's >> Yeah, there's companies out there that's all they do. They hire a bunch of PhDs all they do. They hire a bunch of PhDs all they do. They hire a bunch of PhDs and they just they they work on LLMs and and they just they they work on LLMs and and they just they they work on LLMs and foundational models and whatever. That's foundational models and whatever. That's foundational models and whatever. That's not us. But what we can do is we can not us. But what we can do is we can not us. But what we can do is we can train really really small models to train really really small models to train really really small models to operate at the edge and we can do that operate at the edge and we can do that operate at the edge and we can do that for the long tail. So very like if for the long tail. So very like if for the long tail. So very like if someone comes to us and says for example someone comes to us and says for example someone comes to us and says for example all we want to know is this mechanical all we want to know is this mechanical all we want to know is this mechanical sign goes up and down and all we want to sign goes up and down and all we want to sign goes up and down and all we want to know is like you know when the sign is know is like you know when the sign is know is like you know when the sign is up and when the sign's down. We're like up and when the sign's down. We're like up and when the sign's down. We're like oh why don't you just put a a sensor on oh why don't you just put a a sensor on oh why don't you just put a a sensor on the sign. They're like well we don't own the sign. They're like well we don't own the sign. They're like well we don't own the sign. We're not allowed to put a the sign. We're not allowed to put a the sign. We're not allowed to put a sensor on the sign so we have to do it sensor on the sign so we have to do it sensor on the sign so we have to do it with a camera. with a camera. with a camera. >> Right. >> Right. >> Right. Yes. This this happens all the time Yes. This this happens all the time Yes. This this happens all the time where it's like the like one entity where it's like the like one entity where it's like the like one entity doesn't own the infrastructure but they doesn't own the infrastructure but they doesn't own the infrastructure but they can see the infrastructure. can see the infrastructure. can see the infrastructure. >> Yes. >> Yes. >> Yes. >> So so so this Yeah. So this we get a lot >> So so so this Yeah. So this we get a lot >> So so so this Yeah. So this we get a lot of those types of inquiries and of those types of inquiries and of those types of inquiries and >> yeah it's pretty good. So we and like >> yeah it's pretty good. So we and like >> yeah it's pretty good. So we and like for us to train models like that is for us to train models like that is for us to train models like that is pretty pretty straightforward. We we're pretty pretty straightforward. We we're pretty pretty straightforward. We we're partnered with a company called Edge partnered with a company called Edge partnered with a company called Edge Impulse Impulse Impulse >> um that recently got recently got >> um that recently got recently got >> um that recently got recently got acquired by uh Qualcomm. So I guess acquired by uh Qualcomm. So I guess acquired by uh Qualcomm. So I guess we're friends with those guys we're friends with those guys we're friends with those guys >> pretty well. Yeah those guys.

>> pretty well. Yeah those guys. >> pretty well. Yeah those guys. >> Awesome. So you know like Adam Benzion >> Awesome. So you know like Adam Benzion >> Awesome. So you know like Adam Benzion and that and that and that >> whole Adam forever. >> whole Adam forever. >> whole Adam forever. >> Yeah. Yeah. Awesome. So yeah, so he back >> Yeah. Yeah. Awesome. So yeah, so he back >> Yeah. Yeah. Awesome. So yeah, so he back I I first met him back in the Hackster I I first met him back in the Hackster I I first met him back in the Hackster days when uh he was covering uh he was days when uh he was covering uh he was days when uh he was covering uh he was he was writing writing um some he was writing writing um some he was writing writing um some information about uh Burning Man art information about uh Burning Man art information about uh Burning Man art projects like like uh giant projects like like uh giant projects like like uh giant electromechanical sculptures I used to electromechanical sculptures I used to electromechanical sculptures I used to work on. So um yeah, good good dude, work on. So um yeah, good good dude, work on. So um yeah, good good dude, great company. We love it. We love Edge great company. We love it. We love Edge great company. We love it. We love Edge Impulse, but we also have built some of Impulse, but we also have built some of Impulse, but we also have built some of our own pipelines as well. So we just our own pipelines as well. So we just our own pipelines as well. So we just because we control the hardware that because we control the hardware that because we control the hardware that means we control the firmware and as it means we control the firmware and as it means we control the firmware and as it turns out we can do a lot of structuring turns out we can do a lot of structuring turns out we can do a lot of structuring of the data before it even goes to edge of the data before it even goes to edge of the data before it even goes to edge Impulse and so there's little secret Impulse and so there's little secret Impulse and so there's little secret sauce in there as well that we're we're sauce in there as well that we're we're sauce in there as well that we're we're quite good at. quite good at. quite good at. >> That's well that's that's near and dear >> That's well that's that's near and dear >> That's well that's that's near and dear to my heart. I think it's like you guys to my heart. I think it's like you guys to my heart. I think it's like you guys are kind of on the cutting edge. There's are kind of on the cutting edge. There's are kind of on the cutting edge. There's so many new uh silicon out there that's so many new uh silicon out there that's so many new uh silicon out there that's like you said ultra low power with a like you said ultra low power with a like you said ultra low power with a couple of tops that's easily solar couple of tops that's easily solar couple of tops that's easily solar powered or self-powered and powered or self-powered and powered or self-powered and >> andalops in there. So yeah, I think >> andalops in there. So yeah, I think >> andalops in there. So yeah, I think that's that's pretty cool you guys are that's that's pretty cool you guys are that's that's pretty cool you guys are doing that. doing that. doing that. >> We we just can't stop buying that >> We we just can't stop buying that >> We we just can't stop buying that hardware. Every time we'd buy a dev kit, hardware. Every time we'd buy a dev kit, hardware. Every time we'd buy a dev kit, we just because we have our own we just because we have our own we just because we have our own hardware, right? So we're benchmarking hardware, right? So we're benchmarking hardware, right? So we're benchmarking our own hardware against these dev kits.

our own hardware against these dev kits. our own hardware against these dev kits. And so we got the Jetson Nano, the one And so we got the Jetson Nano, the one And so we got the Jetson Nano, the one that's the smaller one that operates uh that's the smaller one that operates uh that's the smaller one that operates uh can operate as little as like 15 watts. can operate as little as like 15 watts. can operate as little as like 15 watts. And then I don't know if you ever tried And then I don't know if you ever tried And then I don't know if you ever tried the Halo uh the Halo. Yeah. For like a the Halo uh the Halo. Yeah. For like a the Halo uh the Halo. Yeah. For like a Raspberry Pi 5. Uh we got that in house Raspberry Pi 5. Uh we got that in house Raspberry Pi 5. Uh we got that in house too. Um, and these are these are how too. Um, and these are these are how too. Um, and these are these are how they can do like, you know, 20 tops they can do like, you know, 20 tops they can do like, you know, 20 tops plus, which is like 20 times more plus, which is like 20 times more plus, which is like 20 times more powerful than our Misti song. Problem is powerful than our Misti song. Problem is powerful than our Misti song. Problem is they can't do sub five watts. Um, they can't do sub five watts. Um, they can't do sub five watts. Um, >> and so, as it turns out, you can do a >> and so, as it turns out, you can do a >> and so, as it turns out, you can do a lot with one tops at sub five watts. Um, lot with one tops at sub five watts. Um, lot with one tops at sub five watts. Um, >> uh, but I'm I'm always like, if you ever >> uh, but I'm I'm always like, if you ever >> uh, but I'm I'm always like, if you ever have any suggestions for us about like have any suggestions for us about like have any suggestions for us about like sub five watt uh, neural processing sub five watt uh, neural processing sub five watt uh, neural processing units. units. units. >> Oh, yeah. >> Oh, yeah. >> Oh, yeah. >> Please let us know because we're >> Please let us know because we're >> Please let us know because we're constant neuromorph. constant neuromorph. constant neuromorph. >> There's a lot. Yeah. >> There's a lot. Yeah. >> There's a lot. Yeah. >> A lot of vaporware, too. A lot of >> A lot of vaporware, too. A lot of >> A lot of vaporware, too. A lot of vaporware, too. A lot of people say, vaporware, too. A lot of people say, vaporware, too. A lot of people say, >> "Yeah, there's a lot in here." >> "Yeah, there's a lot in here." >> "Yeah, there's a lot in here." >> Yeah, I'm glad you guys are talking. >> Yeah, I'm glad you guys are talking. >> Yeah, I'm glad you guys are talking. Yeah, you because Pete runs the show at Yeah, you because Pete runs the show at Yeah, you because Pete runs the show at the Edge AI Foundation and so they do the Edge AI Foundation and so they do the Edge AI Foundation and so they do events all over the world. events all over the world. events all over the world. >> So, yeah, definitely share with some >> So, yeah, definitely share with some >> So, yeah, definitely share with some folks that need some some good hardware. folks that need some some good hardware. folks that need some some good hardware. That's for sure. At the end of the day, That's for sure. At the end of the day, That's for sure. At the end of the day, it's like it's you building it and it's like it's you building it and it's like it's you building it and shipping it is you got to make it real.

shipping it is you got to make it real. shipping it is you got to make it real. And so, that's you guys are doing that. And so, that's you guys are doing that. And so, that's you guys are doing that. >> I love more of those rabbit holes with >> I love more of those rabbit holes with >> I love more of those rabbit holes with you. Um, maybe we can go down some of you. Um, maybe we can go down some of you. Um, maybe we can go down some of them today and then maybe even a follow them today and then maybe even a follow them today and then maybe even a follow on call. That's a topic very dear to my on call. That's a topic very dear to my on call. That's a topic very dear to my heart. It's a probably biggest growth heart. It's a probably biggest growth heart. It's a probably biggest growth area for Misty West right now. area for Misty West right now. area for Misty West right now. >> That's awesome. I see Jerry Jones from >> That's awesome. I see Jerry Jones from >> That's awesome. I see Jerry Jones from the Dallas Cowboys has joined us. the Dallas Cowboys has joined us. the Dallas Cowboys has joined us. >> Awesome. >> Awesome. >> Awesome. >> Wow. Wow. >> Wow. Wow. >> Wow. Wow. >> I I wouldn't I wouldn't go that far >> I I wouldn't I wouldn't go that far >> I I wouldn't I wouldn't go that far because if that were the case, I'd fire because if that were the case, I'd fire because if that were the case, I'd fire myself. myself. myself. >> You please fire yourself. Every day I >> You please fire yourself. Every day I >> You please fire yourself. Every day I think lots of people in Dallas wake up think lots of people in Dallas wake up think lots of people in Dallas wake up and say, "Jerry, please fire yourself. and say, "Jerry, please fire yourself. and say, "Jerry, please fire yourself. >> Please get off the sidelines. Please >> Please get off the sidelines. Please >> Please get off the sidelines. Please stop making this team suck. Please make stop making this team suck. Please make stop making this team suck. Please make this not a bad destination for your next this not a bad destination for your next this not a bad destination for your next head coach after you fired the last one. head coach after you fired the last one. head coach after you fired the last one. You know, You know, You know, >> and it's bound to happen. I mean, this >> and it's bound to happen. I mean, this >> and it's bound to happen. I mean, this is this is um this is uh Jerry Jones Jr. is this is um this is uh Jerry Jones Jr. is this is um this is uh Jerry Jones Jr. in in effect. Um in in effect. Um in in effect. Um >> yeah, >> yeah, >> yeah, >> you know, >> you know, >> you know, >> and and Al Davis is rolling over in his >> and and Al Davis is rolling over in his >> and and Al Davis is rolling over in his grave clapping. grave clapping. grave clapping. >> Yeah, he is. >> Yeah, he is. >> Yeah, he is. >> Al Davis. >> Al Davis. >> Al Davis. >> Yeah, he is. >> Yeah, he is. >> Yeah, he is. >> What's that movie coming out? Who's >> What's that movie coming out? Who's >> What's that movie coming out? Who's playing Al Davis in this movie that's playing Al Davis in this movie that's playing Al Davis in this movie that's coming out?

coming out? coming out? >> I heard about it. I don't know. >> I heard about it. I don't know. >> I heard about it. I don't know. >> It might be the real Al Davis. >> It might be the real Al Davis. >> It might be the real Al Davis. >> There's some famous actor that really >> There's some famous actor that really >> There's some famous actor that really transformed themselves into Al Davis. transformed themselves into Al Davis. transformed themselves into Al Davis. I'll have I'll have I'll have >> Oh my gosh. >> Oh my gosh. >> Oh my gosh. >> That's hilarious. That's awesome. I love >> That's hilarious. That's awesome. I love >> That's hilarious. That's awesome. I love that. So, what's going on, Bill? What's that. So, what's going on, Bill? What's that. So, what's going on, Bill? What's the latest? the latest? the latest? >> You know what I mean? I I can't tell >> You know what I mean? I I can't tell >> You know what I mean? I I can't tell you. I mean, I I've been I've been heads you. I mean, I I've been I've been heads you. I mean, I I've been I've been heads down. We're we're we're signing three down. We're we're we're signing three down. We're we're we're signing three deals in uh the next three days. deals in uh the next three days. deals in uh the next three days. Um, I'm the holdup in trying to get all Um, I'm the holdup in trying to get all Um, I'm the holdup in trying to get all the contracts and everything lined up. the contracts and everything lined up. the contracts and everything lined up. So, So, So, >> that's what we've always heard about you >> that's what we've always heard about you >> that's what we've always heard about you is you're the holdup. So, is you're the holdup. So, is you're the holdup. So, >> I am. I am. It is all on me and I'm I'm >> I am. I am. It is all on me and I'm I'm >> I am. I am. It is all on me and I'm I'm the one that's slowing the train. the one that's slowing the train. the one that's slowing the train. >> Wow. Is this What kind of deals are you >> Wow. Is this What kind of deals are you >> Wow. Is this What kind of deals are you doing without divulging anything? What doing without divulging anything? What doing without divulging anything? What tech? Uh so a lot of it I mean we're tech? Uh so a lot of it I mean we're tech? Uh so a lot of it I mean we're we're working with I think I mentioned we're working with I think I mentioned we're working with I think I mentioned it before we're working with a number of it before we're working with a number of it before we're working with a number of cities around uh the World Cup and uh so cities around uh the World Cup and uh so cities around uh the World Cup and uh so part of the deal is that we did not want part of the deal is that we did not want part of the deal is that we did not want it to be just an event driven uh it to be just an event driven uh it to be just an event driven uh exercise. So everything you know all of exercise. So everything you know all of exercise. So everything you know all of the twins are going to be useful for the the twins are going to be useful for the the twins are going to be useful for the cities afterwards.

cities afterwards. cities afterwards. Uh so I mean we were Uh so I mean we were Uh so I mean we were >> so these are not disposable digital >> so these are not disposable digital >> so these are not disposable digital twins. They still have a shelf life twins. They still have a shelf life twins. They still have a shelf life beyond beyond beyond >> Okay. Yes. >> Okay. Yes. >> Okay. Yes. >> So >> So >> So >> maybe we start >> maybe we start >> maybe we start >> cities, colleges, and hospitals. >> cities, colleges, and hospitals. >> cities, colleges, and hospitals. >> Yeah. >> Yeah. >> Yeah. >> Want to do one in Vancouver? >> Want to do one in Vancouver? >> Want to do one in Vancouver? >> Hell yeah. >> Hell yeah. >> Hell yeah. >> Yeah. All right. >> Yeah. All right. >> Yeah. All right. >> Let's go. >> Let's go. >> Let's go. >> We uh we work on sensors for digital >> We uh we work on sensors for digital >> We uh we work on sensors for digital twins. So we often often a lot of the twins. So we often often a lot of the twins. So we often often a lot of the people that are buying our our our people that are buying our our our people that are buying our our our engineering services to design sensors engineering services to design sensors engineering services to design sensors are often companies that are offering are often companies that are offering are often companies that are offering digital twin services or or this you digital twin services or or this you digital twin services or or this you know in some cases the the client know in some cases the the client know in some cases the the client themselves where they have a digital themselves where they have a digital themselves where they have a digital twin but they're missing the data that twin but they're missing the data that twin but they're missing the data that they need to to feed the digital twin on they need to to feed the digital twin on they need to to feed the digital twin on an ongoing basis. an ongoing basis. an ongoing basis. >> That's always been the case. I mean >> That's always been the case. I mean >> That's always been the case. I mean especially those that are using the you especially those that are using the you especially those that are using the you know I I'll say the matterportish 3D know I I'll say the matterportish 3D know I I'll say the matterportish 3D model type twins. Yeah, model type twins. Yeah, model type twins. Yeah, >> they look pretty but from an operational >> they look pretty but from an operational >> they look pretty but from an operational perspective it's very difficult. perspective it's very difficult. perspective it's very difficult. >> Yeah. >> Yeah. >> Yeah. >> And uh and so we have a we have a >> And uh and so we have a we have a >> And uh and so we have a we have a different point of view on that. I mean different point of view on that. I mean different point of view on that. I mean it's the operations and the efficiency it's the operations and the efficiency it's the operations and the efficiency that's that makes the difference. Um and that's that makes the difference. Um and that's that makes the difference. Um and finally after I don't know how many finally after I don't know how many finally after I don't know how many years it's kind of caught on and uh you years it's kind of caught on and uh you years it's kind of caught on and uh you know we're we're we're we're actually know we're we're we're we're actually know we're we're we're we're actually we're meeting with Nvidia next we're meeting with Nvidia next we're meeting with Nvidia next Wednesday, Thursday and Friday. Um, so Wednesday, Thursday and Friday. Um, so Wednesday, Thursday and Friday. Um, so it's it's a technical meeting of the it's it's a technical meeting of the it's it's a technical meeting of the minds where omniverse meets true north.

minds where omniverse meets true north. minds where omniverse meets true north. >> Wow. >> Wow. >> Wow. >> So do you you you mean that digital >> So do you you you mean that digital >> So do you you you mean that digital twins are not fancy 3D models AI powered twins are not fancy 3D models AI powered twins are not fancy 3D models AI powered running in the metaverse? I I thought running in the metaverse? I I thought running in the metaverse? I I thought that's what it was. that's what it was. that's what it was. >> Yeah. No, no, absolutely not. And and it >> Yeah. No, no, absolutely not. And and it >> Yeah. No, no, absolutely not. And and it shouldn't cost you millions of dollars shouldn't cost you millions of dollars shouldn't cost you millions of dollars to get started. So to get started. So to get started. So >> Well, it's not fun then. >> Well, it's not fun then. >> Well, it's not fun then. I I I I we make fun of the metaverse, I I I I we make fun of the metaverse, I I I I we make fun of the metaverse, but like I like I'm I'm actually like but like I like I'm I'm actually like but like I like I'm I'm actually like quite fond of uh of the idea of like I quite fond of uh of the idea of like I quite fond of uh of the idea of like I don't know if you guys ever ever talk don't know if you guys ever ever talk don't know if you guys ever ever talk about this, but um it see it seems like about this, but um it see it seems like about this, but um it see it seems like the other day I I went on a an app where the other day I I went on a an app where the other day I I went on a an app where it I talked to the app for about a it I talked to the app for about a it I talked to the app for about a minute and then it the app proceeded to minute and then it the app proceeded to minute and then it the app proceeded to have a conversation with me like LLM have a conversation with me like LLM have a conversation with me like LLM style style style >> in my voice. So, I was talking to >> in my voice. So, I was talking to >> in my voice. So, I was talking to myself. It was so freaky. I was talking myself. It was so freaky. I was talking myself. It was so freaky. I was talking to myself. It was It sounded just like to myself. It was It sounded just like to myself. It was It sounded just like me. And um and I and I, you know, not me. And um and I and I, you know, not me. And um and I and I, you know, not that long ago, I created a 3D avatar of that long ago, I created a 3D avatar of that long ago, I created a 3D avatar of myself. It looked just like me. So, and myself. It looked just like me. So, and myself. It looked just like me. So, and like and now they're getting really good like and now they're getting really good like and now they're getting really good at, you know, um AI generated u like 3D.

at, you know, um AI generated u like 3D. at, you know, um AI generated u like 3D. Yeah. So, you can actually make your Yeah. So, you can actually make your Yeah. So, you can actually make your lips look like you're talking. Yeah. lips look like you're talking. Yeah. lips look like you're talking. Yeah. >> So, like I'm like, "Okay, well, what >> So, like I'm like, "Okay, well, what >> So, like I'm like, "Okay, well, what that means, correct me if I'm wrong, is that means, correct me if I'm wrong, is that means, correct me if I'm wrong, is that like at some point we really will that like at some point we really will that like at some point we really will have like a digital twin of ourselves." have like a digital twin of ourselves." have like a digital twin of ourselves." >> Yeah. >> Yeah. >> Yeah. >> And and it's going to be good. Like, >> And and it's going to be good. Like, >> And and it's going to be good. Like, it's going to be a good representation it's going to be a good representation it's going to be a good representation of who I am. And and if that's the case, of who I am. And and if that's the case, of who I am. And and if that's the case, then, you know, what's to stop me from then, you know, what's to stop me from then, you know, what's to stop me from making my own digital ghost so that making my own digital ghost so that making my own digital ghost so that after I'm dead, there's this ghost of me after I'm dead, there's this ghost of me after I'm dead, there's this ghost of me that my grandchildren and my that my grandchildren and my that my grandchildren and my great-grandchildren can talk to. um great-grandchildren can talk to. um great-grandchildren can talk to. um >> you know like see so as much as we make >> you know like see so as much as we make >> you know like see so as much as we make fun of the metaverse I I actually think fun of the metaverse I I actually think fun of the metaverse I I actually think that like like 50 to 100 years from now that like like 50 to 100 years from now that like like 50 to 100 years from now or something like that I think like I or something like that I think like I or something like that I think like I think there'll be a digital twin of of think there'll be a digital twin of of think there'll be a digital twin of of the earth that'll that's like fairly the earth that'll that's like fairly the earth that'll that's like fairly accurate and when people are dead they accurate and when people are dead they accurate and when people are dead they can go and live there and and live on or can go and live there and and live on or can go and live there and and live on or whatever. whatever. whatever. >> Yep. Yep. I mean, I I agree. It It'll be >> Yep. Yep. I mean, I I agree. It It'll be >> Yep. Yep. I mean, I I agree. It It'll be long after we're physically gone, but long after we're physically gone, but long after we're physically gone, but >> but what what troubles me is the hype >> but what what troubles me is the hype >> but what what troubles me is the hype that sits around, you know, the that sits around, you know, the that sits around, you know, the everything is art of the possible as as everything is art of the possible as as everything is art of the possible as as opposed to art of the practical.

opposed to art of the practical. opposed to art of the practical. >> Yeah. thing is also the the and I had >> Yeah. thing is also the the and I had >> Yeah. thing is also the the and I had variant arguments with Michael Greavves variant arguments with Michael Greavves variant arguments with Michael Greavves about that in the in the initial state about that in the in the initial state about that in the in the initial state because I think the definition of because I think the definition of because I think the definition of digital twin has evolved a lot because digital twin has evolved a lot because digital twin has evolved a lot because the the initial definition actually the the initial definition actually the the initial definition actually represents a physical entity tightly represents a physical entity tightly represents a physical entity tightly connected to yourself so it's just kind connected to yourself so it's just kind connected to yourself so it's just kind of a digital sense if you want because of a digital sense if you want because of a digital sense if you want because if you start thinking about what you if you start thinking about what you if you start thinking about what you said leaf there's no reason why you said leaf there's no reason why you said leaf there's no reason why you could have 15 of those ghosts and they could have 15 of those ghosts and they could have 15 of those ghosts and they might have 15 different you know might have 15 different you know might have 15 different you know responses so they're not twins anymore responses so they're not twins anymore responses so they're not twins anymore so it's a very it's a very loose kind of so it's a very it's a very loose kind of so it's a very it's a very loose kind of a so and and Michael Gre's major a so and and Michael Gre's major a so and and Michael Gre's major argument was oh it's a metaphor okay so argument was oh it's a metaphor okay so argument was oh it's a metaphor okay so well good luck with metaphors so uh so I well good luck with metaphors so uh so I well good luck with metaphors so uh so I think it has very much evolved over time think it has very much evolved over time think it has very much evolved over time because it was really for the purpose of because it was really for the purpose of because it was really for the purpose of monitoring system and actually learning monitoring system and actually learning monitoring system and actually learning for multiple system with their own for multiple system with their own for multiple system with their own individual twins but now it's kind of a individual twins but now it's kind of a individual twins but now it's kind of a >> digital artifact connected to a physical >> digital artifact connected to a physical >> digital artifact connected to a physical object is what or person or entity is object is what or person or entity is object is what or person or entity is really the definition now but yeah it's really the definition now but yeah it's really the definition now but yeah it's fascinating fascinating fascinating >> yeah Well, it's actually art today, >> yeah Well, it's actually art today, >> yeah Well, it's actually art today, right? I mean, it it's it's art. It's right? I mean, it it's it's art. It's right? I mean, it it's it's art. It's digital twin art.

digital twin art. digital twin art. >> Yeah. And this and this is where you end >> Yeah. And this and this is where you end >> Yeah. And this and this is where you end up with your kind of digital twin up with your kind of digital twin up with your kind of digital twin therapist because apparently it's the therapist because apparently it's the therapist because apparently it's the new thing right now. So So this because new thing right now. So So this because new thing right now. So So this because idea more than the digital twin, it's idea more than the digital twin, it's idea more than the digital twin, it's >> Yeah. >> Yeah. >> Yeah. >> Wow. >> Wow. >> Wow. >> Well, you go ahead. >> Well, you go ahead. >> Well, you go ahead. >> Yeah. No, it was all the economic >> Yeah. No, it was all the economic >> Yeah. No, it was all the economic nonsense that people were pumping into nonsense that people were pumping into nonsense that people were pumping into this metaverse narrative, you know, sort this metaverse narrative, you know, sort this metaverse narrative, you know, sort of this conversion with uh web 3, of this conversion with uh web 3, of this conversion with uh web 3, >> right, >> right, >> right, >> or whatever, you know, bunch of realah >> or whatever, you know, bunch of realah >> or whatever, you know, bunch of realah nonsense and all that just nonsense and all that just nonsense and all that just >> pivoted toward crypto and you know, >> pivoted toward crypto and you know, >> pivoted toward crypto and you know, Debbie and I Debbie and I Debbie and I >> Yeah, but but now that's the answer. All >> Yeah, but but now that's the answer. All >> Yeah, but but now that's the answer. All those digital twins in the metaverse are those digital twins in the metaverse are those digital twins in the metaverse are going to exchange NFTs and this is going going to exchange NFTs and this is going going to exchange NFTs and this is going to generate money. This is how it's to generate money. This is how it's to generate money. This is how it's going to work. Simple. going to work. Simple. going to work. Simple. >> Yeah. Wow. >> Yeah. Wow. >> Yeah. Wow. >> So, some interesting news this week. MIT >> So, some interesting news this week. MIT >> So, some interesting news this week. MIT student drops out. Speaking of Lee and student drops out. Speaking of Lee and student drops out. Speaking of Lee and MIT, MIAT student drops out cuz she says MIT, MIAT student drops out cuz she says MIT, MIAT student drops out cuz she says AGI will kill everyone before she can AGI will kill everyone before she can AGI will kill everyone before she can graduate. graduate. graduate. >> And so, she's concerned she may not even >> And so, she's concerned she may not even >> And so, she's concerned she may not even be alive to graduate because of AGI.

be alive to graduate because of AGI. be alive to graduate because of AGI. And whatever it is everyone's working on And whatever it is everyone's working on And whatever it is everyone's working on is going to be worthless anyway. So, you is going to be worthless anyway. So, you is going to be worthless anyway. So, you might as well have a big party. I I might as well have a big party. I I might as well have a big party. I I really really really >> that's that's the lamest excuse I've >> that's that's the lamest excuse I've >> that's that's the lamest excuse I've heard student saving a lot of money on heard student saving a lot of money on heard student saving a lot of money on tuition. tuition. tuition. >> I have a very simple solution to all >> I have a very simple solution to all >> I have a very simple solution to all this crap. this crap. this crap. >> Oh, thank God. >> Oh, thank God. >> Oh, thank God. >> So worried about AI. >> So worried about AI. >> So worried about AI. >> Stop using it. It's ancillary. It's not >> Stop using it. It's ancillary. It's not >> Stop using it. It's ancillary. It's not core. It's not your girlfriend. It's not core. It's not your girlfriend. It's not core. It's not your girlfriend. It's not your boyfriend. Just get to basics. your boyfriend. Just get to basics. your boyfriend. Just get to basics. invest in like freaking, you know, IoT invest in like freaking, you know, IoT invest in like freaking, you know, IoT that works, technologies that work, you that works, technologies that work, you that works, technologies that work, you know, I mean, you know, if you're afraid know, I mean, you know, if you're afraid know, I mean, you know, if you're afraid of this stuff, stop using it. It's easy. of this stuff, stop using it. It's easy. of this stuff, stop using it. It's easy. Just ditch it. Just ditch it. Just ditch it. >> You know, there's no reason to be >> You know, there's no reason to be >> You know, there's no reason to be freaked out about it. So, you know, if freaked out about it. So, you know, if freaked out about it. So, you know, if you continue to use it, you will you you continue to use it, you will you you continue to use it, you will you will use it to your doom, you know, will use it to your doom, you know, will use it to your doom, you know, straight to whatever fantasy dystopia. straight to whatever fantasy dystopia. straight to whatever fantasy dystopia. Yeah. I mean, it's Yeah. I mean, it's Yeah. I mean, it's >> don't worry.

>> don't worry. >> don't worry. >> Yeah. This worry about AI. We just worry >> Yeah. This worry about AI. We just worry >> Yeah. This worry about AI. We just worry about ourselves. about ourselves. about ourselves. >> So, it's not a problem. I'm working on >> So, it's not a problem. I'm working on >> So, it's not a problem. I'm working on this AGI tech here here at my house. I'm this AGI tech here here at my house. I'm this AGI tech here here at my house. I'm calling it Thanos. Is that going to be a calling it Thanos. Is that going to be a calling it Thanos. Is that going to be a problem? a problem. I mean, you just have to let a problem. I mean, you just have to let it know who has it. it know who has it. it know who has it. >> Yeah, just just hook it up to the >> Yeah, just just hook it up to the >> Yeah, just just hook it up to the command systems and then you will be command systems and then you will be command systems and then you will be fine. fine. fine. >> Actually, you raised a really good >> Actually, you raised a really good >> Actually, you raised a really good point, Leonard, that like um and I think point, Leonard, that like um and I think point, Leonard, that like um and I think this is actually really important for this is actually really important for this is actually really important for for IoT more generally is, you know, I for IoT more generally is, you know, I for IoT more generally is, you know, I think that there's a major awakening think that there's a major awakening think that there's a major awakening coming to pretty much everyone around coming to pretty much everyone around coming to pretty much everyone around data and data security, cyber security. data and data security, cyber security. data and data security, cyber security. Um most most people just sort of take Um most most people just sort of take Um most most people just sort of take that stuff for granted. But uh in in a that stuff for granted. But uh in in a that stuff for granted. But uh in in a world where your identity will be able world where your identity will be able world where your identity will be able to be stolen quite easily, right? Like I to be stolen quite easily, right? Like I to be stolen quite easily, right? Like I just just imagine where you know AGI is just just imagine where you know AGI is just just imagine where you know AGI is like kind of run a muck. It's like you like kind of run a muck. It's like you like kind of run a muck. It's like you got you have criminals sort of stealing got you have criminals sort of stealing got you have criminals sort of stealing people's identities and using using uh people's identities and using using uh people's identities and using using uh AI to to sort of do fraud and things AI to to sort of do fraud and things AI to to sort of do fraud and things like this. I I think what'll end up I like this. I I think what'll end up I like this. I I think what'll end up I think almost certainly what'll end up think almost certainly what'll end up think almost certainly what'll end up happening is there's going to be a happening is there's going to be a happening is there's going to be a massive premium placed on sec brands massive premium placed on sec brands massive premium placed on sec brands that have a reputation for being secure that have a reputation for being secure that have a reputation for being secure with their with people's data.

with their with people's data. with their with people's data. >> Debbie >> Debbie >> Debbie >> Yeah. Okay. Keep going. But Debbie has >> Yeah. Okay. Keep going. But Debbie has >> Yeah. Okay. Keep going. But Debbie has to say say something about that. But go to say say something about that. But go to say say something about that. But go ahead. ahead. ahead. >> Yeah. No, I want I want to hear what you >> Yeah. No, I want I want to hear what you >> Yeah. No, I want I want to hear what you have to say. have to say. have to say. >> Go ahead. No, you have a second point. >> Go ahead. No, you have a second point. >> Go ahead. No, you have a second point. Keep it coming. Keep it coming. Keep it coming. >> Yeah. Yeah. The sec the second point is >> Yeah. Yeah. The sec the second point is >> Yeah. Yeah. The sec the second point is um and maybe this is the most most um and maybe this is the most most um and maybe this is the most most important point is that this is why edge important point is that this is why edge important point is that this is why edge compute is so important. If you if you compute is so important. If you if you compute is so important. If you if you want to have great control over data not want to have great control over data not want to have great control over data not and like low latency, low cloud fees or and like low latency, low cloud fees or and like low latency, low cloud fees or no cloud fees like nothing beats having no cloud fees like nothing beats having no cloud fees like nothing beats having your data storage like on prem and and your data storage like on prem and and your data storage like on prem and and and that's true for your house too, and that's true for your house too, and that's true for your house too, right? like for my home like I I don't right? like for my home like I I don't right? like for my home like I I don't want my kids data on like Google Cloud want my kids data on like Google Cloud want my kids data on like Google Cloud or Amazon like on AWS like I want my or Amazon like on AWS like I want my or Amazon like on AWS like I want my children's data in my own server at my children's data in my own server at my children's data in my own server at my own house on the on the edge and and and own house on the on the edge and and and own house on the on the edge and and and if we're going to train AI to learn if we're going to train AI to learn if we're going to train AI to learn about my kids and like how to treat them about my kids and like how to treat them about my kids and like how to treat them and how to act with them like like a and how to act with them like like a and how to act with them like like a Jarvis or like the you know digital Jarvis or like the you know digital Jarvis or like the you know digital butler or whatever like I want that data butler or whatever like I want that data butler or whatever like I want that data like my personal journals from when I like my personal journals from when I like my personal journals from when I was like 15 years old. Do I want to was like 15 years old. Do I want to was like 15 years old. Do I want to train chat GPT on that data and give all train chat GPT on that data and give all train chat GPT on that data and give all my data to Sam Alman? Like that would be my data to Sam Alman? Like that would be my data to Sam Alman? Like that would be insane, right? That' be completely insane, right? That' be completely insane, right? That' be completely batshit crazy, right? And so and I think batshit crazy, right? And so and I think batshit crazy, right? And so and I think I think that I think the whole world's I think that I think the whole world's I think that I think the whole world's going to wake up to this fact pretty going to wake up to this fact pretty going to wake up to this fact pretty pretty quickly and I think it's going to pretty quickly and I think it's going to pretty quickly and I think it's going to be a big boon uh for for edge compute be a big boon uh for for edge compute be a big boon uh for for edge compute more generally.

more generally. more generally. >> Yeah. So Lei, I I want you to know >> Yeah. So Lei, I I want you to know >> Yeah. So Lei, I I want you to know >> you have the data diva. >> you have the data diva. >> you have the data diva. Man, do you even know who she is? Man, do you even know who she is? Man, do you even know who she is? >> All right, lay it on. Well, what do you >> All right, lay it on. Well, what do you >> All right, lay it on. Well, what do you have to say? I mean, did he do a good have to say? I mean, did he do a good have to say? I mean, did he do a good job, data diva? job, data diva? job, data diva? >> He did a great job. He did did a great >> He did a great job. He did did a great >> He did a great job. He did did a great job. He's talking all the the words that job. He's talking all the the words that job. He's talking all the the words that I love to hear, right? So, I love to I love to hear, right? So, I love to I love to hear, right? So, I love to hear he's working on the edge and and hear he's working on the edge and and hear he's working on the edge and and working with small models, doing very working with small models, doing very working with small models, doing very discreet things, right? That is the discreet things, right? That is the discreet things, right? That is the thing that keeps people out of trouble. thing that keeps people out of trouble. thing that keeps people out of trouble. Uh, right, in terms of data and privacy. Uh, right, in terms of data and privacy. Uh, right, in terms of data and privacy. So, you're definitely on the right So, you're definitely on the right So, you're definitely on the right track. And I think what is happening and track. And I think what is happening and track. And I think what is happening and I definitely want your thoughts is that I definitely want your thoughts is that I definitely want your thoughts is that because there's so much more power is because there's so much more power is because there's so much more power is not centralized right so what you're not centralized right so what you're not centralized right so what you're talking about like these uh you know talking about like these uh you know talking about like these uh you know very you know low power things that you very you know low power things that you very you know low power things that you can do very discreet you know small can do very discreet you know small can do very discreet you know small things on the edge I think that's things on the edge I think that's things on the edge I think that's definitely the future and that's definitely the future and that's definitely the future and that's definitely what people want and so definitely what people want and so definitely what people want and so >> yeah I think you're right up there a >> yeah I think you're right up there a >> yeah I think you're right up there a thousand% sets thousand% sets thousand% sets >> I I want to be a more controversial here >> I I want to be a more controversial here >> I I want to be a more controversial here because I obviously I do buy in that but because I obviously I do buy in that but because I obviously I do buy in that but the problem is that you know we are in a the problem is that you know we are in a the problem is that you know we are in a very small circle of very well aware and very small circle of very well aware and very small circle of very well aware and educated people about the subject and educated people about the subject and educated people about the subject and the so that's the first dimension the so that's the first dimension the so that's the first dimension awareness is not there most people don't awareness is not there most people don't awareness is not there most people don't understand that the second dimension is understand that the second dimension is understand that the second dimension is that the barrier to entry if you want to that the barrier to entry if you want to that the barrier to entry if you want to manage a server in your home and do all

manage a server in your home and do all manage a server in your home and do all that it's very high there is no that it's very high there is no that it's very high there is no offtheshelf simple for everybody offtheshelf simple for everybody offtheshelf simple for everybody solution to do that compared to what the solution to do that compared to what the solution to do that compared to what the cloud offers So until we solve those two cloud offers So until we solve those two cloud offers So until we solve those two issues, which is there is a I can go to issues, which is there is a I can go to issues, which is there is a I can go to Walmart and buy the $50 box and then my Walmart and buy the $50 box and then my Walmart and buy the $50 box and then my family is safe. Okay. And second, I family is safe. Okay. And second, I family is safe. Okay. And second, I understand why I need to do that. I understand why I need to do that. I understand why I need to do that. I mean, we live in we live in this tech mean, we live in we live in this tech mean, we live in we live in this tech world where we understand all that. And world where we understand all that. And world where we understand all that. And by the way, not all of us understand by the way, not all of us understand by the way, not all of us understand that even in the tech world. So I'm much that even in the tech world. So I'm much that even in the tech world. So I'm much I agree this should be the future. Is it I agree this should be the future. Is it I agree this should be the future. Is it going to materialize? I I am really not going to materialize? I I am really not going to materialize? I I am really not sure about that. I'm really not sure sure about that. I'm really not sure sure about that. I'm really not sure about that. M about that. M about that. M >> and and I always take this give this >> and and I always take this give this >> and and I always take this give this example even at the level of policies example even at the level of policies example even at the level of policies everybody praises the European Union everybody praises the European Union everybody praises the European Union because of the GDPR. I mean GDPR is because of the GDPR. I mean GDPR is because of the GDPR. I mean GDPR is totally obsolete. The right to be totally obsolete. The right to be totally obsolete. The right to be deleted is obsolete because my data has deleted is obsolete because my data has deleted is obsolete because my data has been used to train models. So I'm still been used to train models. So I'm still been used to train models. So I'm still there even if the data is deleted. there even if the data is deleted. there even if the data is deleted. >> But the regulator do not think that way. >> But the regulator do not think that way. >> But the regulator do not think that way. So I'm yeah So I'm yeah So I'm yeah >> I hope I would be as optimistic as you >> I hope I would be as optimistic as you >> I hope I would be as optimistic as you are guys. They're behind but they're way are guys. They're behind but they're way are guys. They're behind but they're way ahead of everyone else ahead of everyone else ahead of everyone else and and you know they're motivated by and and you know they're motivated by and and you know they're motivated by other things you know protection digital other things you know protection digital other things you know protection digital protectionism is protectionism is protectionism is >> well they're way ahead yeah to some >> well they're way ahead yeah to some >> well they're way ahead yeah to some extent I mean they have some sense of extent I mean they have some sense of extent I mean they have some sense of what it is but they don't understand how what it is but they don't understand how what it is but they don't understand how to implement to implement to implement >> yeah but if it wasn't for them nobody >> yeah but if it wasn't for them nobody >> yeah but if it wasn't for them nobody would have any sense it would be the would have any sense it would be the would have any sense it would be the wild wild west right so wild wild west right so wild wild west right so >> but you know what I mean I think no it >> but you know what I mean I think no it >> but you know what I mean I think no it is a great approach I think it you know

is a great approach I think it you know is a great approach I think it you know it's kind of our job then if we're it's kind of our job then if we're it's kind of our job then if we're quote unquote enlightened or aware to quote unquote enlightened or aware to quote unquote enlightened or aware to broaden the awareness and uh broaden the awareness and uh broaden the awareness and uh congratulations. You got like data diva congratulations. You got like data diva congratulations. You got like data diva brand of approval there Lee. So that's brand of approval there Lee. So that's brand of approval there Lee. So that's really great question for really great question for really great question for >> So you know what you should do is you >> So you know what you should do is you >> So you know what you should do is you should clip that part of this video and should clip that part of this video and should clip that part of this video and then you should go buck wild with it. then you should go buck wild with it. then you should go buck wild with it. >> Yeah. Uh ask a couple questions about um >> Yeah. Uh ask a couple questions about um >> Yeah. Uh ask a couple questions about um about uh data security and and like edge about uh data security and and like edge about uh data security and and like edge compute. compute. compute. >> I'm sorry. Say answer say your question >> I'm sorry. Say answer say your question >> I'm sorry. Say answer say your question one more time. one more time. one more time. >> Oh yeah. So I got a couple questions for >> Oh yeah. So I got a couple questions for >> Oh yeah. So I got a couple questions for you. Um so I was curious what do you you. Um so I was curious what do you you. Um so I was curious what do you think of the uh DGX Spark and the the think of the uh DGX Spark and the the think of the uh DGX Spark and the the GB10 chipset. GB10 chipset. GB10 chipset. >> Oh I'm not I don't I don't under know >> Oh I'm not I don't I don't under know >> Oh I'm not I don't I don't under know that. that. that. >> Okay. So this small >> Okay. So this small >> Okay. So this small >> you were saying small things on the edge >> you were saying small things on the edge >> you were saying small things on the edge um you know for edge compute. What I um you know for edge compute. What I um you know for edge compute. What I like about so the DJX Spark is like a like about so the DJX Spark is like a like about so the DJX Spark is like a new a new product from Nvidia. new a new product from Nvidia. new a new product from Nvidia. >> Um it's pretty inexpensive. So, so >> Um it's pretty inexpensive. So, so >> Um it's pretty inexpensive. So, so normally to get like if you want to put normally to get like if you want to put normally to get like if you want to put like uh two 2,000 tops in the home, you like uh two 2,000 tops in the home, you like uh two 2,000 tops in the home, you to do that, you used to have to spend to do that, you used to have to spend to do that, you used to have to spend about 50 grand to make that happen. Um, about 50 grand to make that happen. Um, about 50 grand to make that happen. Um, you know, all all in installed and you know, all all in installed and you know, all all in installed and everything. And uh I think they're going everything. And uh I think they're going everything. And uh I think they're going to sell that DGX Spark for like 2 three to sell that DGX Spark for like 2 three to sell that DGX Spark for like 2 three grand or something like that. Uh so it grand or something like that. Uh so it grand or something like that. Uh so it drops the cost by, you know, more than drops the cost by, you know, more than drops the cost by, you know, more than an order of magnitude. And um and what's an order of magnitude. And um and what's an order of magnitude. And um and what's what's crazy about it is that you'll be what's crazy about it is that you'll be what's crazy about it is that you'll be able to run an LLM on that no problem.

able to run an LLM on that no problem. able to run an LLM on that no problem. Uh so you like if you want to run Uh so you like if you want to run Uh so you like if you want to run something kind of like you know deepseek something kind of like you know deepseek something kind of like you know deepseek or or or even uh or even like a like a or or or even uh or even like a like a or or or even uh or even like a like a like meta's latest you know llama models like meta's latest you know llama models like meta's latest you know llama models um you can run these you could tra you um you can run these you could tra you um you can run these you could tra you could train a model on your journal could train a model on your journal could train a model on your journal entries you could train a model on your entries you could train a model on your entries you could train a model on your you know your WhatsApp data on your you know your WhatsApp data on your you know your WhatsApp data on your slack data on your uh on your chat slack data on your uh on your chat slack data on your uh on your chat history your text messages from your history your text messages from your history your text messages from your phone. You could you could have one of phone. You could you could have one of phone. You could you could have one of these things in your bedroom and in your these things in your bedroom and in your these things in your bedroom and in your bathroom and it could listen to you uh bathroom and it could listen to you uh bathroom and it could listen to you uh you know it could listen to you you know you know it could listen to you you know you know it could listen to you you know the the noises of your bathroom and the the noises of your bathroom and the the noises of your bathroom and bedroom and uh and and it wouldn't and bedroom and uh and and it wouldn't and bedroom and uh and and it wouldn't and it well no but but it's but it's your it well no but but it's but it's your it well no but but it's but it's your but it's your device but that's the but it's your device but that's the but it's your device but that's the point. point. point. >> I will never query like the noises of >> I will never query like the noises of >> I will never query like the noises of the Lee family and LLM. Sorry there Lee the Lee family and LLM. Sorry there Lee the Lee family and LLM. Sorry there Lee that's like freaking that's like freaky that's like freaking that's like freaky that's like freaking that's like freaky weird stuff. weird stuff. weird stuff. >> It's it's but what's what's be what's >> It's it's but what's what's be what's >> It's it's but what's what's be what's beautiful about it. So, if you if you beautiful about it. So, if you if you beautiful about it. So, if you if you have a grandfather who who has uh who have a grandfather who who has uh who have a grandfather who who has uh who has a medical condition and you want to has a medical condition and you want to has a medical condition and you want to and you want to, you know, and you want and you want to, you know, and you want and you want to, you know, and you want to make sure that he's not falling in to make sure that he's not falling in to make sure that he's not falling in the bathroom. the bathroom. the bathroom. >> Um, right. And and and you >> Um, right. And and and you >> Um, right. And and and you >> have a G DGX Spark for that. I mean, you >> have a G DGX Spark for that. I mean, you >> have a G DGX Spark for that. I mean, you can Snapdragon for can Snapdragon for can Snapdragon for >> a 100th of the cost.

>> a 100th of the cost. >> a 100th of the cost. >> Yeah. And you want you want to and you >> Yeah. And you want you want to and you >> Yeah. And you want you want to and you and you also you also want to prevent and you also you also want to prevent and you also you also want to prevent your your kid from dying from sudden your your kid from dying from sudden your your kid from dying from sudden infant death syndrome um right in the infant death syndrome um right in the infant death syndrome um right in the bedroom. you're the only like there are bedroom. you're the only like there are bedroom. you're the only like there are some like secure options and things like some like secure options and things like some like secure options and things like this but like the vast majority of those this but like the vast majority of those this but like the vast majority of those options out there are have have back options out there are have have back options out there are have have back doors for the data doors for the data doors for the data >> you know massive cyber security risks >> you know massive cyber security risks >> you know massive cyber security risks and and and you have to buy 10 different and and and you have to buy 10 different and and and you have to buy 10 different devices devices devices >> that like they don't they don't they're >> that like they don't they don't they're >> that like they don't they don't they're not there's no generalized device and so not there's no generalized device and so not there's no generalized device and so the so if you want to build Jarvis for the so if you want to build Jarvis for the so if you want to build Jarvis for the home and you want your your most the home and you want your your most the home and you want your your most private intimate moments um you know private intimate moments um you know private intimate moments um you know secure uh as far as I can Hell, the only secure uh as far as I can Hell, the only secure uh as far as I can Hell, the only the only way to really do that right now the only way to really do that right now the only way to really do that right now is to spend 50 grand and have it, you is to spend 50 grand and have it, you is to spend 50 grand and have it, you know, have essentially a server know, have essentially a server know, have essentially a server installed in your home. And so we have installed in your home. And so we have installed in your home. And so we have we have this customer right now called we have this customer right now called we have this customer right now called Huge H U G. And they're they're yeah Huge H U G. And they're they're yeah Huge H U G. And they're they're yeah they're using GB10s to build like an they're using GB10s to build like an they're using GB10s to build like an Apple like product that's like Apple like product that's like Apple like product that's like plug-andplay that your grandma could plug-andplay that your grandma could plug-andplay that your grandma could use. use. use. >> Um that is uh that that gives you that >> Um that is uh that that gives you that >> Um that is uh that that gives you that gives you you know like the movie Her gives you you know like the movie Her gives you you know like the movie Her but it's for your house.

but it's for your house. but it's for your house. >> Yeah. >> Yeah. >> Yeah. >> Um and everywhere. >> Um and everywhere. >> Um and everywhere. >> Yeah. You want you want Scar Joe? You >> Yeah. You want you want Scar Joe? You >> Yeah. You want you want Scar Joe? You want Scar Joe with you everywhere? want Scar Joe with you everywhere? want Scar Joe with you everywhere? >> I do. That's what it turns out. Yeah. >> I do. That's what it turns out. Yeah. >> I do. That's what it turns out. Yeah. >> Oh, that's great. And you know what? >> Oh, that's great. And you know what? >> Oh, that's great. And you know what? We're going to You know, we will know We're going to You know, we will know We're going to You know, we will know when that hockey stick happens is when when that hockey stick happens is when when that hockey stick happens is when that system shows up in Bill's house. that system shows up in Bill's house. that system shows up in Bill's house. >> So, >> So, >> So, >> I was just I was just going to say I do >> I was just I was just going to say I do >> I was just I was just going to say I do I do so much of what you're talking I do so much of what you're talking I do so much of what you're talking about, but it never leaves it never about, but it never leaves it never about, but it never leaves it never leaves 770 Bridgewater Loop. leaves 770 Bridgewater Loop. leaves 770 Bridgewater Loop. >> It never exits anywhere. And the only >> It never exits anywhere. And the only >> It never exits anywhere. And the only thing that lives in the cloud is the thing that lives in the cloud is the thing that lives in the cloud is the configuration for the sensors that I configuration for the sensors that I configuration for the sensors that I have through my house. have through my house. have through my house. >> Yeah, >> Yeah, >> Yeah, >> that's awesome. >> that's awesome. >> that's awesome. >> And you know what? I don't think you're >> And you know what? I don't think you're >> And you know what? I don't think you're too far off there, Lee. And you know too far off there, Lee. And you know too far off there, Lee. And you know this kind of goes up against um uh this kind of goes up against um uh this kind of goes up against um uh Dimmitri's argument that I think there Dimmitri's argument that I think there Dimmitri's argument that I think there will be value that is an opportunity for will be value that is an opportunity for will be value that is an opportunity for a company probably Apple to come up with a company probably Apple to come up with a company probably Apple to come up with an appliance that you can deploy locally an appliance that you can deploy locally an appliance that you can deploy locally that's privacy first that is for the that's privacy first that is for the that's privacy first that is for the home and um will actually insulate you home and um will actually insulate you home and um will actually insulate you from all this delletterious sharing. I from all this delletterious sharing. I from all this delletterious sharing. I mean, people don't understand, and mean, people don't understand, and mean, people don't understand, and Debbie and I talk about all this time.

Debbie and I talk about all this time. Debbie and I talk about all this time. We've said this like two years ago, We've said this like two years ago, We've said this like two years ago, these things don't forget once they're these things don't forget once they're these things don't forget once they're trained. Uh, and you know, that is so so trained. Uh, and you know, that is so so trained. Uh, and you know, that is so so dangerous. And not only that, they dangerous. And not only that, they dangerous. And not only that, they misrepresent you cuz consider how bad misrepresent you cuz consider how bad misrepresent you cuz consider how bad your own data is. They will hallucinate your own data is. They will hallucinate your own data is. They will hallucinate on top of that and represent you either on top of that and represent you either on top of that and represent you either probably in a tay type fashion and probably in a tay type fashion and probably in a tay type fashion and probably will say that all of us are probably will say that all of us are probably will say that all of us are [ __ ] right? [ __ ] right? [ __ ] right? >> Yeah. >> Yeah. >> Yeah. >> I know I am. So, >> I know I am. So, >> I know I am. So, >> well, you know, you are, you know, it's >> well, you know, you are, you know, it's >> well, you know, you are, you know, it's so funny. so funny. so funny. >> I am not. >> I am not. >> I am not. >> You you are. You know, it's funny, >> You you are. You know, it's funny, >> You you are. You know, it's funny, Leonard. I loved it earlier. You were Leonard. I loved it earlier. You were Leonard. I loved it earlier. You were kind of talking about, you know, don't kind of talking about, you know, don't kind of talking about, you know, don't use AI, use AI, whatever. You're worried use AI, use AI, whatever. You're worried use AI, use AI, whatever. You're worried about it. I still find my favorite meme about it. I still find my favorite meme about it. I still find my favorite meme in this AI era. I know you probably all in this AI era. I know you probably all in this AI era. I know you probably all seen it many times. Um, seen it many times. Um, seen it many times. Um, >> Sarah Connor watching you use AI for >> Sarah Connor watching you use AI for >> Sarah Connor watching you use AI for everything. everything. everything. >> Exactly. She's like that's her looking >> Exactly. She's like that's her looking >> Exactly. She's like that's her looking at like you guys are idiots. at like you guys are idiots. at like you guys are idiots. >> If I if I may say if I may say like a >> If I if I may say if I may say like a >> If I if I may say if I may say like a couple quick positive things about AI.

couple quick positive things about AI. couple quick positive things about AI. So so f first of all I'm a huge fan of So so f first of all I'm a huge fan of So so f first of all I'm a huge fan of digital hygiene and teaching kids digital hygiene and teaching kids digital hygiene and teaching kids digital hygiene. Uh I don't if you guys digital hygiene. Uh I don't if you guys digital hygiene. Uh I don't if you guys have ever heard this term I I I heard it have ever heard this term I I I heard it have ever heard this term I I I heard it fairly recently. Digital hygiene should fairly recently. Digital hygiene should fairly recently. Digital hygiene should be taught in schools. Digital hygiene be taught in schools. Digital hygiene be taught in schools. Digital hygiene should be taught by parents. should be taught by parents. should be taught by parents. >> It like like learning good digital >> It like like learning good digital >> It like like learning good digital hygiene is a prerequisite for a world hygiene is a prerequisite for a world hygiene is a prerequisite for a world that can be compatible with AI. Um, and that can be compatible with AI. Um, and that can be compatible with AI. Um, and it's it's it's amaz it's shocking to me it's it's it's amaz it's shocking to me it's it's it's amaz it's shocking to me how slow we've been. Like we know we how slow we've been. Like we know we how slow we've been. Like we know we know about washing our hands to not get know about washing our hands to not get know about washing our hands to not get diarrhea. Like that's a well understood diarrhea. Like that's a well understood diarrhea. Like that's a well understood thing. Um, but like the same thing is thing. Um, but like the same thing is thing. Um, but like the same thing is true for you know doom scrolling and true for you know doom scrolling and true for you know doom scrolling and rage bait when it comes to AI, right? rage bait when it comes to AI, right? rage bait when it comes to AI, right? And so the so so the next thing I was And so the so so the next thing I was And so the so so the next thing I was going to mention is that um okay so so going to mention is that um okay so so going to mention is that um okay so so have any of you have any of you ever have any of you have any of you ever have any of you have any of you ever used um AI to help you solve an used um AI to help you solve an used um AI to help you solve an interpersonal issue or like say a interpersonal issue or like say a interpersonal issue or like say a marital dispute? marital dispute? marital dispute? >> No. >> No. >> No. >> No. It is so good. It is shocking. It is >> No. It is so good. It is shocking. It is >> No. It is so good. It is shocking. It is the I think it's the killer app for me. the I think it's the killer app for me. the I think it's the killer app for me. It's the killer app for AI. Like if you It's the killer app for AI. Like if you It's the killer app for AI. Like if you if you get into a fight with your your if you get into a fight with your your if you get into a fight with your your your your partner your your partner your your partner >> um and you don't really understand your >> um and you don't really understand your >> um and you don't really understand your own emotions and you don't really own emotions and you don't really own emotions and you don't really understand where he or she is coming understand where he or she is coming understand where he or she is coming from, go go type in the write up the from, go go type in the write up the from, go go type in the write up the whole fight from start to finish into whole fight from start to finish into whole fight from start to finish into into you know chat GPT or whatever. Um into you know chat GPT or whatever. Um into you know chat GPT or whatever. Um you know um no don't don't give it too you know um no don't don't give it too you know um no don't don't give it too much priv private data if you can avoid much priv private data if you can avoid much priv private data if you can avoid it. Um, and and then and then say, "Help it. Um, and and then and then say, "Help it. Um, and and then and then say, "Help me understand why I'm feeling the way me understand why I'm feeling the way me understand why I'm feeling the way I'm feeling. Help me understand how they I'm feeling. Help me understand how they I'm feeling. Help me understand how they are feeling and where they're coming are feeling and where they're coming are feeling and where they're coming from. Ask me questions to help better me from. Ask me questions to help better me from. Ask me questions to help better me better understand the whole situation."

better understand the whole situation." better understand the whole situation." And it it's like the best counselor I've And it it's like the best counselor I've And it it's like the best counselor I've ever had. I' And I've done lots of ever had. I' And I've done lots of ever had. I' And I've done lots of counseling. I've been Yeah, it's counseling. I've been Yeah, it's counseling. I've been Yeah, it's unbelievable. And like And it's free. unbelievable. And like And it's free. unbelievable. And like And it's free. Basically, it's essentially free. And so Basically, it's essentially free. And so Basically, it's essentially free. And so like like I I think that this is I think like like I I think that this is I think like like I I think that this is I think it's a sleeper hit that people don't it's a sleeper hit that people don't it's a sleeper hit that people don't realize how good it is. Okay. realize how good it is. Okay. realize how good it is. Okay. >> They actually passed a law in Illinois >> They actually passed a law in Illinois >> They actually passed a law in Illinois against that. >> Oh. Oh, no. Yeah. Protecting protecting >> Oh. Oh, no. Yeah. Protecting protecting the uh the jobs of counselors and uh um the uh the jobs of counselors and uh um the uh the jobs of counselors and uh um >> well, you know, because like >> well, you know, because like >> well, you know, because like >> Yeah. So like you as an individual, you >> Yeah. So like you as an individual, you >> Yeah. So like you as an individual, you know, doing that, but they were like know, doing that, but they were like know, doing that, but they were like they don't want companies trying to they don't want companies trying to they don't want companies trying to substitute AI for like actual clinicians substitute AI for like actual clinicians substitute AI for like actual clinicians and and and >> you know, people who have education and >> you know, people who have education and >> you know, people who have education and certification and stuff like that, certification and stuff like that, certification and stuff like that, >> right? Training and licensed licensed uh >> right? Training and licensed licensed uh >> right? Training and licensed licensed uh counselors. counselors. counselors. >> Yeah. >> Yeah. >> Yeah. >> I mean, I think the digital hygiene >> I mean, I think the digital hygiene >> I mean, I think the digital hygiene thing is totally cool though. thing is totally cool though. thing is totally cool though. >> Yeah. >> Yeah. >> Yeah. >> YouTube AI to me is like the best >> YouTube AI to me is like the best >> YouTube AI to me is like the best passive aggressive email writer that passive aggressive email writer that passive aggressive email writer that I've ever seen. It's amazing. Nice.

I've ever seen. It's amazing. Nice. I've ever seen. It's amazing. Nice. Nice. Nice. Nice. >> But what if your what if your AI got >> But what if your what if your AI got >> But what if your what if your AI got certified though? Like what if the the certified though? Like what if the the certified though? Like what if the the AI took the test? AI took the test? AI took the test? >> Could be a service that is licensed and >> Could be a service that is licensed and >> Could be a service that is licensed and certified. certified. certified. >> Yeah, the AI took the test, passed the >> Yeah, the AI took the test, passed the >> Yeah, the AI took the test, passed the test to be a certified clinician, then test to be a certified clinician, then test to be a certified clinician, then are they okay? are they okay? are they okay? >> No, because how do I know that the AI >> No, because how do I know that the AI >> No, because how do I know that the AI didn't use AI to pass the test? didn't use AI to pass the test? didn't use AI to pass the test? >> That's right. >> That's right. >> That's right. >> It probably did. >> It probably did. >> It probably did. >> Yeah. Well, you know, once it knows >> Yeah. Well, you know, once it knows >> Yeah. Well, you know, once it knows everything, in the end, remember folks, everything, in the end, remember folks, everything, in the end, remember folks, it's just a big data set of everything it's just a big data set of everything it's just a big data set of everything we've ever done and everything we know. we've ever done and everything we know. we've ever done and everything we know. >> Bottom line, start with trust. >> Bottom line, start with trust. >> Bottom line, start with trust. >> Yeah. >> Yeah. >> Yeah. >> Right. >> Right. >> Right. >> Yeah. >> Yeah. >> Yeah. >> Right. >> Right. >> Right. >> Hey, did you guys hear I know we're >> Hey, did you guys hear I know we're >> Hey, did you guys hear I know we're getting we're at the end here also getting we're at the end here also getting we're at the end here also speaking about personal whatever. I also speaking about personal whatever. I also speaking about personal whatever. I also saw in the news this week that Denmark saw in the news this week that Denmark saw in the news this week that Denmark has a new law or they're going to has a new law or they're going to has a new law or they're going to propose a new law about, you know, propose a new law about, you know, propose a new law about, you know, copyright. We talk about copyrighted copyright. We talk about copyrighted copyright. We talk about copyrighted works. We all worry about how all these works. We all worry about how all these works. We all worry about how all these LLMs have scraped the internet of LLMs have scraped the internet of LLMs have scraped the internet of copyrighted work. Basically, a person copyrighted work. Basically, a person copyrighted work. Basically, a person can copyright their face, their body, a can copyright their face, their body, a can copyright their face, their body, a whole bunch of stuff. Take a look. But whole bunch of stuff. Take a look. But whole bunch of stuff. Take a look. But the gist of it is so that now humans can the gist of it is so that now humans can the gist of it is so that now humans can take legal action against these AI take legal action against these AI take legal action against these AI companies once they basically basically companies once they basically basically companies once they basically basically the laws like I am copyrighted the laws like I am copyrighted the laws like I am copyrighted everything about me. And I don't know, everything about me. And I don't know, everything about me. And I don't know, it's pretty interesting. But yeah, go it's pretty interesting. But yeah, go it's pretty interesting. But yeah, go look it up. Go figure.

look it up. Go figure. look it up. Go figure. >> That's probably not a bad idea. I mean, >> That's probably not a bad idea. I mean, >> That's probably not a bad idea. I mean, uh, I don't really want I don't really uh, I don't really want I don't really uh, I don't really want I don't really want like some corporation to like copy want like some corporation to like copy want like some corporation to like copy me and then use me for whatever they me and then use me for whatever they me and then use me for whatever they want to use me for. That would be pretty want to use me for. That would be pretty want to use me for. That would be pretty that'd be pretty awful, that'd be pretty awful, that'd be pretty awful, >> right? >> right? >> right? >> I don't know what they're doing. But >> I don't know what they're doing. But >> I don't know what they're doing. But >> yeah. >> yeah. >> yeah. >> All right. Hey, Lee. Um, thanks for >> All right. Hey, Lee. Um, thanks for >> All right. Hey, Lee. Um, thanks for jumping on. Thanks for the sponsorship jumping on. Thanks for the sponsorship jumping on. Thanks for the sponsorship and, um, you know, looks like you guys and, um, you know, looks like you guys and, um, you know, looks like you guys are doing some great stuff. And are doing some great stuff. And are doing some great stuff. And hopefully our IoT Coffee Talk uh, hopefully our IoT Coffee Talk uh, hopefully our IoT Coffee Talk uh, audience will appreciate you guys. and audience will appreciate you guys. and audience will appreciate you guys. and uh hopefully there's some collaborations uh hopefully there's some collaborations uh hopefully there's some collaborations that you'll find through uh the sharing that you'll find through uh the sharing that you'll find through uh the sharing that you've done on the show. So um that you've done on the show. So um that you've done on the show. So um >> I just want to encourage anyone who is >> I just want to encourage anyone who is >> I just want to encourage anyone who is listening, you know, if you want advice listening, you know, if you want advice listening, you know, if you want advice um and you just want to run some ideas um and you just want to run some ideas um and you just want to run some ideas past us, you have a or you have a past us, you have a or you have a past us, you have a or you have a problem uh related to IoT hardware, hard problem uh related to IoT hardware, hard problem uh related to IoT hardware, hard tech or deep tech, uh especially for tech or deep tech, uh especially for tech or deep tech, uh especially for mining tech and you know, smart mining tech and you know, smart mining tech and you know, smart infrastructure and health tech, um you infrastructure and health tech, um you infrastructure and health tech, um you know, come just knock on our door, come know, come just knock on our door, come know, come just knock on our door, come say hi. Like I'm easy to find on say hi. Like I'm easy to find on say hi. Like I'm easy to find on LinkedIn. Um, we have a a website, you LinkedIn. Um, we have a a website, you LinkedIn. Um, we have a a website, you know, mistw.com. Um, and know, mistw.com. Um, and know, mistw.com. Um, and >> you have a website.

>> you have a website. >> you have a website. >> Yeah, I know. In this web web 3.0, >> Yeah, I know. In this web web 3.0, >> Yeah, I know. In this web web 3.0, >> you're from the future. Wow. >> you're from the future. Wow. >> you're from the future. Wow. >> From the future. >> From the future. >> From the future. >> Yeah. >> Yeah. >> Yeah. >> And, uh, you know, come come knock on >> And, uh, you know, come come knock on >> And, uh, you know, come come knock on our front door. Uh, come come find me, our front door. Uh, come come find me, our front door. Uh, come come find me, say hi, and, uh, you know, even if even say hi, and, uh, you know, even if even say hi, and, uh, you know, even if even if your project you think isn't quite if your project you think isn't quite if your project you think isn't quite the right fit for us, we we usually the right fit for us, we we usually the right fit for us, we we usually know, you know, uh, consultants and know, you know, uh, consultants and know, you know, uh, consultants and contractors and other firms that are contractors and other firms that are contractors and other firms that are probably will be the right fit. And so probably will be the right fit. And so probably will be the right fit. And so we a lot of what we do is just connect we a lot of what we do is just connect we a lot of what we do is just connect customers to our partners. Um we and customers to our partners. Um we and customers to our partners. Um we and we're very selective about what we we we're very selective about what we we we're very selective about what we we work on, but we we divert probably about work on, but we we divert probably about work on, but we we divert probably about 90% of the leads that come in our door. 90% of the leads that come in our door. 90% of the leads that come in our door. We we send those over to our uh our our We we send those over to our uh our our We we send those over to our uh our our frenemies, our competitors, our rivals, frenemies, our competitors, our rivals, frenemies, our competitors, our rivals, and our partners. and our partners. and our partners. >> Nice guy. >> Nice guy. >> Nice guy. >> That's cool. Wow. I love that. >> That's cool. Wow. I love that. >> That's cool. Wow. I love that. >> All right, Rob. >> All right, Rob. >> All right, Rob. >> All right. All right. Thanks for joining >> All right. All right. Thanks for joining >> All right. All right. Thanks for joining us on another exciting episode of IoT us on another exciting episode of IoT us on another exciting episode of IoT Coffee Talk. And we actually talked a Coffee Talk. And we actually talked a Coffee Talk. And we actually talked a lot more about IoT this time than we lot more about IoT this time than we lot more about IoT this time than we usually do, which is crazy. You know, usually do, which is crazy. You know, usually do, which is crazy. You know, who knew, right? Um, our advice, don't who knew, right? Um, our advice, don't who knew, right? Um, our advice, don't drop out of MIT because you think you're drop out of MIT because you think you're drop out of MIT because you think you're going to be dying because of AGI before going to be dying because of AGI before going to be dying because of AGI before you get a chance to graduate. Go out you get a chance to graduate. Go out you get a chance to graduate. Go out there, learn, fight the good fight.

there, learn, fight the good fight. there, learn, fight the good fight. Humanity first, right? We We got this. Humanity first, right? We We got this. Humanity first, right? We We got this. Um, Um, Um, >> future is all right. >> future is all right. >> future is all right. >> Yes. Like, exactly. We're going to make >> Yes. Like, exactly. We're going to make >> Yes. Like, exactly. We're going to make it fine. Remember, it's abundance, it fine. Remember, it's abundance, it fine. Remember, it's abundance, right? Okay. So, uh, you know, great right? Okay. So, uh, you know, great right? Okay. So, uh, you know, great having Lee Christie on from Misty West having Lee Christie on from Misty West having Lee Christie on from Misty West on here. Um, on here. Um, on here. Um, great discussion today. Lots of good fun great discussion today. Lots of good fun great discussion today. Lots of good fun AI talk as well. And nothing too AI talk as well. And nothing too AI talk as well. And nothing too negative from Dimmitri, so that's good. negative from Dimmitri, so that's good. negative from Dimmitri, so that's good. Always a plus. Thanks, Dimmitri. Always a plus. Thanks, Dimmitri. Always a plus. Thanks, Dimmitri. Exactly. I'm glad that Bill is out there Exactly. I'm glad that Bill is out there Exactly. I'm glad that Bill is out there digital twinning the whole planet. I'm digital twinning the whole planet. I'm digital twinning the whole planet. I'm all about that. That's awesome. all about that. That's awesome. all about that. That's awesome. Definitely need Lee and Pete to get Definitely need Lee and Pete to get Definitely need Lee and Pete to get together with Edge AI stuff cuz you guys together with Edge AI stuff cuz you guys together with Edge AI stuff cuz you guys are obviously birds of a feather here are obviously birds of a feather here are obviously birds of a feather here for sure. And thanks for the data diva. for sure. And thanks for the data diva. for sure. And thanks for the data diva. As always, make sure and reach out. Come As always, make sure and reach out. Come As always, make sure and reach out. Come to iotcopytalk.com. to iotcopytalk.com. to iotcopytalk.com. Go to elevatorids.org. Go to elevatorids.org. Go to elevatorids.org. Uh remember the whole reason for our Uh remember the whole reason for our Uh remember the whole reason for our organization is to to support kids that organization is to to support kids that organization is to to support kids that crossing that digital divide, computers, crossing that digital divide, computers, crossing that digital divide, computers, connectivity, kids who are having to do connectivity, kids who are having to do connectivity, kids who are having to do remote learning, things like that. Um remote learning, things like that. Um remote learning, things like that. Um started it during co we're still going.

started it during co we're still going. started it during co we're still going. Who knew? Uh thanks again. We're looking Who knew? Uh thanks again. We're looking Who knew? Uh thanks again. We're looking forward to seeing you next week. Have a forward to seeing you next week. Have a forward to seeing you next week. Have a great week, y'all. great week, y'all. great week, y'all. >> Take care. Bye everyone.