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iOT Coffee Talk August 2, 2025 56m

IoT Coffee Talk: Episode 272 - Don't Sell Out! (Don't Go Quietly into the Night!)

Read full transcript 45 segments
  1. Heat. Heat. Heat. Heat. [Applause] [Applause] [Applause] [Music] [Music] [Music] Heat. Heat. Heat. Heat. Heat. Heat. [Applause] [Music] [Music] [Applause] It's not even in the chord progression. It's not even in the chord progression. Hey, welcome everyone to Coffee Talk. Hey, welcome everyone to Coffee Talk. Hey, welcome everyone to Coffee Talk. And that was terrible karaoke. Of And that was terrible karaoke. Of And that was terrible karaoke. Of course, no one sings for some reason. course, no one sings for some reason. course, no one sings for some reason. Probably because I play a bunch of songs Probably because I play a bunch of songs Probably because I play a bunch of songs that nobody knows. But that was the that nobody knows. But that was the that nobody knows. But that was the Scorpions. Yeah, Scorpions. Classic. Scorpions. Yeah, Scorpions. Classic. Scorpions. Yeah, Scorpions. Classic. >> Classic stuff. >> Classic stuff. >> Classic stuff. >> I think it's called Yeah, it's a classic >> I think it's called Yeah, it's a classic >> I think it's called Yeah, it's a classic called I forgot the name of the title. I called I forgot the name of the title. I called I forgot the name of the title. I think it's called No One Like You.

  2. think it's called No One Like You. think it's called No One Like You. >> That's right. Yeah, I got Yeah, that's >> That's right. Yeah, I got Yeah, that's >> That's right. Yeah, I got Yeah, that's >> No one like You [Music] [Music] know, Claus M. Those were the days. know, Claus M. Those were the days. know, Claus M. Those were the days. >> Claus M. One of the greatest rock >> Claus M. One of the greatest rock >> Claus M. One of the greatest rock vocalists ever. vocalists ever. vocalists ever. Remember him? Remember him? Remember him? He was up there. He was up there. He was up there. >> Yeah, I think we talked about him on the >> Yeah, I think we talked about him on the >> Yeah, I think we talked about him on the show previously because, you know, he show previously because, you know, he show previously because, you know, he would show would show would show >> they still tour. Are they on some sort >> they still tour. Are they on some sort >> they still tour. Are they on some sort of of of >> They're in Las Vegas, I think. Still >> They're in Las Vegas, I think. Still >> They're in Las Vegas, I think. Still >> in Vegas. Uh, >> in Vegas. Uh, >> in Vegas. Uh, >> yeah. >> yeah. >> yeah. >> The Scorpions Experience, >> The Scorpions Experience, >> The Scorpions Experience, >> but you know, it's really cool to watch >> but you know, it's really cool to watch >> but you know, it's really cool to watch him because back, you know, in the 80s, him because back, you know, in the 80s, him because back, you know, in the 80s, you thought these guys are like you thought these guys are like you thought these guys are like shredders and they're amazing musicians, shredders and they're amazing musicians, shredders and they're amazing musicians, right? U Matus uh Yobs and uh Michael right? U Matus uh Yobs and uh Michael right? U Matus uh Yobs and uh Michael Shanker really great guitar players, Shanker really great guitar players, Shanker really great guitar players, right? And so back then we thought they right? And so back then we thought they right? And so back then we thought they were like were like were like >> these amazing shredders. They >> these amazing shredders. They >> these amazing shredders. They >> are incredibly melodic um soloists, >> are incredibly melodic um soloists, >> are incredibly melodic um soloists, right? Especially Matias. I don't I mean right? Especially Matias. I don't I mean right? Especially Matias. I don't I mean you know some of the solos are classic.

  3. you know some of the solos are classic. you know some of the solos are classic. A lot of the guitar solos are classic. A lot of the guitar solos are classic. A lot of the guitar solos are classic. >> Recognizable. Yeah. >> Recognizable. Yeah. >> Recognizable. Yeah. >> Yeah. Yeah. But they're also like if >> Yeah. Yeah. But they're also like if >> Yeah. Yeah. But they're also like if you're, you know, if you're a guitar you're, you know, if you're a guitar you're, you know, if you're a guitar player like you and you and me, you and player like you and you and me, you and player like you and you and me, you and I, we we can appreciate where these guys I, we we can appreciate where these guys I, we we can appreciate where these guys go with the melodies, right? And um and go with the melodies, right? And um and go with the melodies, right? And um and we can get a sense of how they're maybe we can get a sense of how they're maybe we can get a sense of how they're maybe influenced or inspired. Mhm. influenced or inspired. Mhm. influenced or inspired. Mhm. >> But the the mental trip that I always go >> But the the mental trip that I always go >> But the the mental trip that I always go through, especially when I listen to through, especially when I listen to through, especially when I listen to like what Eddie Van Halen does is um like what Eddie Van Halen does is um like what Eddie Van Halen does is um wonder how the how did they go there at wonder how the how did they go there at wonder how the how did they go there at this moment? Going from where they are this moment? Going from where they are this moment? Going from where they are here to where they go next is sometimes here to where they go next is sometimes here to where they go next is sometimes the most incredible thing. the most incredible thing. the most incredible thing. >> Yes. >> Yes. >> Yes. >> You know what I'm saying? And then that >> You know what I'm saying? And then that >> You know what I'm saying? And then that becomes our favorite part. this weird becomes our favorite part. this weird becomes our favorite part. this weird >> well they have in their head like all >> well they have in their head like all >> well they have in their head like all possible paths you know in their head possible paths you know in their head possible paths you know in their head and then they they come up with these and then they they come up with these and then they they come up with these very creative paths for the melody and very creative paths for the melody and very creative paths for the melody and the the the >> yeah but here I'm going to inadvertently >> yeah but here I'm going to inadvertently >> yeah but here I'm going to inadvertently support generative AI sometimes they're support generative AI sometimes they're support generative AI sometimes they're mistakes mistakes mistakes they're hallucinations they're hallucinations they're hallucinations >> but it's a it's physical and >> but it's a it's physical and >> but it's a it's physical and psychological or it's a it's a mental u psychological or it's a it's a mental u psychological or it's a it's a mental u it's coordination between the the it's coordination between the the it's coordination between the the physical and the and this um the mind physical and the and this um the mind physical and the and this um the mind because like sometimes, you know, I because like sometimes, you know, I because like sometimes, you know, I listen to some of my old stuff with my listen to some of my old stuff with my listen to some of my old stuff with my original band and I'll be playing a solo original band and I'll be playing a solo original band and I'll be playing a solo and I'll listen back to it and at the and I'll listen back to it and at the and I'll listen back to it and at the moment I thought I totally screwed up. I

  4. moment I thought I totally screwed up. I moment I thought I totally screwed up. I was out of control. So, my fingers was out of control. So, my fingers was out of control. So, my fingers weren't doing what they wanted um you weren't doing what they wanted um you weren't doing what they wanted um you know, what I wanted them to do. know, what I wanted them to do. know, what I wanted them to do. >> And then it's that moment that's like, >> And then it's that moment that's like, >> And then it's that moment that's like, "Oh my god, that was freaking cool, "Oh my god, that was freaking cool, "Oh my god, that was freaking cool, >> right?" Just it's pure emotion. >> right?" Just it's pure emotion. >> right?" Just it's pure emotion. >> Yeah. And then someone else is gonna >> Yeah. And then someone else is gonna >> Yeah. And then someone else is gonna think that is think that is think that is >> about it. You can't even >> about it. You can't even >> about it. You can't even >> Yeah. Yeah. Yeah. >> Yeah. Yeah. Yeah. >> Yeah. Yeah. Yeah. You didn't even want to do it. That You didn't even want to do it. That You didn't even want to do it. That wasn't where you're gonna go. wasn't where you're gonna go. wasn't where you're gonna go. >> And then and then all of a sudden this >> And then and then all of a sudden this >> And then and then all of a sudden this moment happens and other people think moment happens and other people think moment happens and other people think it's genius. They go, "Oh my god, that it's genius. They go, "Oh my god, that it's genius. They go, "Oh my god, that was incredible." I was like, you know, was incredible." I was like, you know, was incredible." I was like, you know, how did you do that? And I have to how did you do that? And I have to how did you do that? And I have to explain to them like, yeah, explain to them like, yeah, explain to them like, yeah, >> the challenge is to do it again. Then >> the challenge is to do it again. Then >> the challenge is to do it again. Then you have to you have to you have to >> Yeah. Can you do that again? Can you >> Yeah. Can you do that again? Can you >> Yeah. Can you do that again? Can you play the solo exactly the way you did play the solo exactly the way you did play the solo exactly the way you did it? It's like, no. >> So, yeah, that's weird. >> So, yeah, that's weird. >> That's the magic of music. Love music. >> That's the magic of music. Love music. >> That's the magic of music. Love music. >> Magic of music. Yeah. So, how are you >> Magic of music. Yeah. So, how are you >> Magic of music. Yeah. So, how are you doing? How you doing? doing? How you doing? doing? How you doing? >> Good. Good. Having a good summer here. >> Good. Good. Having a good summer here. >> Good. Good. Having a good summer here. Pacific Northwest. The weather is Pacific Northwest. The weather is Pacific Northwest. The weather is beautiful and so I'm usually outside beautiful and so I'm usually outside beautiful and so I'm usually outside actually. So, now I'm inside for this, actually. So, now I'm inside for this, actually. So, now I'm inside for this, but um it's been really good and taking but um it's been really good and taking but um it's been really good and taking a little break. you know, we had that a little break. you know, we had that a little break. you know, we had that big big big >> trip in Milan and Italy and the whole >> trip in Milan and Italy and the whole >> trip in Milan and Italy and the whole >> event and now we're kind of we're >> event and now we're kind of we're >> event and now we're kind of we're planning out our planning out our planning out our >> school year 26 and uh but in the fall, >> school year 26 and uh but in the fall, >> school year 26 and uh but in the fall, you know, we got um I'll be in Amsterdam you know, we got um I'll be in Amsterdam you know, we got um I'll be in Amsterdam for the things conference. That'll be for the things conference. That'll be for the things conference. That'll be fun fun fun >> late late September and then uh we have >> late late September and then uh we have >> late late September and then uh we have our event. So, we're going to be in our event. So, we're going to be in our event. So, we're going to be in Japan actually for a little kind of a

  5. Japan actually for a little kind of a Japan actually for a little kind of a little symposium in Japan uh in October little symposium in Japan uh in October little symposium in Japan uh in October and then in November we'll be in Taipei and then in November we'll be in Taipei and then in November we'll be in Taipei for a two-day our big two-day event in for a two-day our big two-day event in for a two-day our big two-day event in Taipei November 11th and 12th. So, the Taipei November 11th and 12th. So, the Taipei November 11th and 12th. So, the fall's going to be pretty crazy. Uh so, fall's going to be pretty crazy. Uh so, fall's going to be pretty crazy. Uh so, I'm kind of enjoying that quiet uh I'm kind of enjoying that quiet uh I'm kind of enjoying that quiet uh August. Are we in August? Yeah, it's August. Are we in August? Yeah, it's August. Are we in August? Yeah, it's August. August. August. >> Yeah. Yeah. Well, welcome to welcome to >> Yeah. Yeah. Well, welcome to welcome to >> Yeah. Yeah. Well, welcome to welcome to the the the analyst's life because we I the the the analyst's life because we I the the the analyst's life because we I think we kind of follow the same think we kind of follow the same think we kind of follow the same schedule because a lot of schedule because a lot of schedule because a lot of >> the analysts go to these industry >> the analysts go to these industry >> the analysts go to these industry conferences and they're all usually conferences and they're all usually conferences and they're all usually packed in the spring and in the fall packed in the spring and in the fall packed in the spring and in the fall into the winter actually. Um and then it into the winter actually. Um and then it into the winter actually. Um and then it starts up again, you know, for everyone, starts up again, you know, for everyone, starts up again, you know, for everyone, most everyone it starts up again with most everyone it starts up again with most everyone it starts up again with CES. CES. CES. >> Yeah, CES, right? I mean, it shows up >> Yeah, CES, right? I mean, it shows up >> Yeah, CES, right? I mean, it shows up right after the holidays. right after the holidays. right after the holidays. >> Yeah. I'm kind of enjoying the downtime >> Yeah. I'm kind of enjoying the downtime >> Yeah. I'm kind of enjoying the downtime right now and sort of being thoughtful right now and sort of being thoughtful right now and sort of being thoughtful and planful and reflective and uh and planful and reflective and uh and planful and reflective and uh because I know that's not going to last. because I know that's not going to last. because I know that's not going to last. >> Yeah. You know, it it I I I need, you >> Yeah. You know, it it I I I need, you >> Yeah. You know, it it I I I need, you know, the first seven months of this know, the first seven months of this know, the first seven months of this year has been, you know, it's been year has been, you know, it's been year has been, you know, it's been insanity. Uh and it was this month that insanity. Uh and it was this month that insanity. Uh and it was this month that I actually had some time to catch up on I actually had some time to catch up on I actually had some time to catch up on stuff. Um, and then also think through stuff. Um, and then also think through stuff. Um, and then also think through my my strategy for uh how how I'm going my my strategy for uh how how I'm going my my strategy for uh how how I'm going to adjust to adjust to adjust my business model uh given a lot of my business model uh given a lot of my business model uh given a lot of stuff that's happening on you know

  6. stuff that's happening on you know stuff that's happening on you know different platforms right different platforms right different platforms right >> um so yeah it it you know definitely the >> um so yeah it it you know definitely the >> um so yeah it it you know definitely the game is changing whether or not you game is changing whether or not you game is changing whether or not you attribute to you know generative AI and attribute to you know generative AI and attribute to you know generative AI and AI search or what have you um for sure AI search or what have you um for sure AI search or what have you um for sure um people's behaviors are changing and um people's behaviors are changing and um people's behaviors are changing and so you have to you have to constantly so you have to you have to constantly so you have to you have to constantly adapt which is you know it's like that adapt which is you know it's like that adapt which is you know it's like that thing you have to be uncomfortable you thing you have to be uncomfortable you thing you have to be uncomfortable you never assume that never assume that never assume that um the status quo is going to remain the um the status quo is going to remain the um the status quo is going to remain the status quo you know what I'm saying status quo you know what I'm saying status quo you know what I'm saying >> no you have to keep evolving and keep uh >> no you have to keep evolving and keep uh >> no you have to keep evolving and keep uh you know um thinking about what's next you know um thinking about what's next you know um thinking about what's next like we I had a call this morning with a like we I had a call this morning with a like we I had a call this morning with a couple of folks folks on the wearable couple of folks folks on the wearable couple of folks folks on the wearable technology community. So really cool. So technology community. So really cool. So technology community. So really cool. So we're doing this program where we we're doing this program where we we're doing this program where we connect sort of community of connect sort of community of connect sort of community of communities, right? So that's why we're communities, right? So that's why we're communities, right? So that's why we're going to be at the things conference going to be at the things conference going to be at the things conference because of the luran and kind of low because of the luran and kind of low because of the luran and kind of low power wireless community, edji power wireless community, edji power wireless community, edji community, wearable community, like how community, wearable community, like how community, wearable community, like how do we collaborate and uh work better do we collaborate and uh work better do we collaborate and uh work better together to help each other kind of together to help each other kind of together to help each other kind of educate and stuff. So educate and stuff. So educate and stuff. So >> yeah, >> yeah, >> yeah, >> that's like a new thing that we're >> that's like a new thing that we're >> that's like a new thing that we're doing. We're going to do that with the doing. We're going to do that with the doing. We're going to do that with the risk lab community as well. And so risk lab community as well. And so risk lab community as well. And so that's all like, that's all like, that's all like, >> you know, it's not business as usual.

  7. >> you know, it's not business as usual. >> you know, it's not business as usual. It's a little different uh to figure out It's a little different uh to figure out It's a little different uh to figure out how to do this stuff uh for next year, how to do this stuff uh for next year, how to do this stuff uh for next year, but um you have to keep, you know, uh but um you have to keep, you know, uh but um you have to keep, you know, uh keep evolving and keep coming up with um keep evolving and keep coming up with um keep evolving and keep coming up with um better ways and new ways of adapting better ways and new ways of adapting better ways and new ways of adapting because like you said, every week because like you said, every week because like you said, every week there's a new new piece of tech or a new there's a new new piece of tech or a new there's a new new piece of tech or a new thing that's happened um that we need to thing that's happened um that we need to thing that's happened um that we need to keep up with. So, keep up with. So, keep up with. So, >> yeah. and then um >> yeah. and then um >> yeah. and then um and then try to figure out what I'm what and then try to figure out what I'm what and then try to figure out what I'm what I've discovered through my work is I've discovered through my work is I've discovered through my work is figure out what are the the most figure out what are the the most figure out what are the the most important questions to ask. See, that's important questions to ask. See, that's important questions to ask. See, that's one of the things I've noticed that one of the things I've noticed that one of the things I've noticed that these these LLMs are not really good. In these these LLMs are not really good. In these these LLMs are not really good. In fact, I just got pinged by a friend. Um, fact, I just got pinged by a friend. Um, fact, I just got pinged by a friend. Um, and you know, I was having a and you know, I was having a and you know, I was having a conversation about, you know, what some conversation about, you know, what some conversation about, you know, what some kind of pivot that I might make. And kind of pivot that I might make. And kind of pivot that I might make. And then, uh, he he pinged me and said, then, uh, he he pinged me and said, then, uh, he he pinged me and said, "Just don't sell out. "Just don't sell out. "Just don't sell out. >> Don't sell out." >> Don't sell out." >> Don't sell out." >> And then later on, he said, you know, >> And then later on, he said, you know, >> And then later on, he said, you know, what you do is uh is a differentiation. what you do is uh is a differentiation. what you do is uh is a differentiation. So, I have to just figure out how the So, I have to just figure out how the So, I have to just figure out how the periphery of what I do and my business periphery of what I do and my business periphery of what I do and my business adjusts to what's happening in the adjusts to what's happening in the adjusts to what's happening in the environment, you know.

  8. environment, you know. environment, you know. >> Yes. Um, and yeah, >> Yes. Um, and yeah, >> Yes. Um, and yeah, >> I was talking to a >> I was talking to a >> I was talking to a >> Don't sell out. >> Don't sell out. >> Don't sell out. >> Don't sell out. >> Don't sell out. >> Don't sell out. >> Maybe that's the >> Maybe that's the >> Maybe that's the >> Don't do that Chevy commercial. >> Don't do that Chevy commercial. >> Don't do that Chevy commercial. >> Well, we don't sell out on this this >> Well, we don't sell out on this this >> Well, we don't sell out on this this podcast, right? This is podcast, right? This is podcast, right? This is >> brutally brutally honest stuff and um, >> brutally brutally honest stuff and um, >> brutally brutally honest stuff and um, you know, we try to keep things as you know, we try to keep things as you know, we try to keep things as uncomfortable and thoughtprovoking as uncomfortable and thoughtprovoking as uncomfortable and thoughtprovoking as possible. Right. But I was talking to a possible. Right. But I was talking to a possible. Right. But I was talking to a a mentee yesterday and he was saying, a mentee yesterday and he was saying, a mentee yesterday and he was saying, well, this this particular market he was well, this this particular market he was well, this this particular market he was thinking of getting into was kind of thinking of getting into was kind of thinking of getting into was kind of crowded and he was concerned about how crowded and he was concerned about how crowded and he was concerned about how crowded it was. I said, you know, every crowded it was. I said, you know, every crowded it was. I said, you know, every market's pretty crowded except but market's pretty crowded except but market's pretty crowded except but there's always room for people to do there's always room for people to do there's always room for people to do stuff really well. So if you go into a stuff really well. So if you go into a stuff really well. So if you go into a market and you do it really well, market and you do it really well, market and you do it really well, there's room for you because believe it there's room for you because believe it there's room for you because believe it or not, most of the people in these or not, most of the people in these or not, most of the people in these markets aren't doing things very well. markets aren't doing things very well. markets aren't doing things very well. So um there's differentiation in So um there's differentiation in So um there's differentiation in >> in just being excellent at that >> in just being excellent at that >> in just being excellent at that particular thing. Um particular thing. Um particular thing. Um >> yeah I mean I I think experience is >> yeah I mean I I think experience is >> yeah I mean I I think experience is going to become a very high premium. Um going to become a very high premium. Um going to become a very high premium. Um and I think you know especially and I think you know especially and I think you know especially in the IoT community or in the tech in the IoT community or in the tech in the IoT community or in the tech community in general right because right community in general right because right community in general right because right now I mean what I think like the jobs now I mean what I think like the jobs now I mean what I think like the jobs report came out and it's really crappy.

  9. report came out and it's really crappy. report came out and it's really crappy. We're starting to see a decline uh in We're starting to see a decline uh in We're starting to see a decline uh in employment. Obviously, the tech industry employment. Obviously, the tech industry employment. Obviously, the tech industry is quoteunquote tech industry is getting is quoteunquote tech industry is getting is quoteunquote tech industry is getting hit hard. There's a lot of attribution hit hard. There's a lot of attribution hit hard. There's a lot of attribution to AI. I don't entirely buy that. I to AI. I don't entirely buy that. I to AI. I don't entirely buy that. I think that's a that's a mask um to it's think that's a that's a mask um to it's think that's a that's a mask um to it's mask on top of something that you know mask on top of something that you know mask on top of something that you know some other stuff. You know, it's like some other stuff. You know, it's like some other stuff. You know, it's like saying uh we're having a uh what's the saying uh we're having a uh what's the saying uh we're having a uh what's the new term for we're firing people, we're new term for we're firing people, we're new term for we're firing people, we're getting laying people off. There's like getting laying people off. There's like getting laying people off. There's like all these new I I guess they're like all these new I I guess they're like all these new I I guess they're like asking chat GPT to come up with new asking chat GPT to come up with new asking chat GPT to come up with new euphemisms for we're just laying people euphemisms for we're just laying people euphemisms for we're just laying people off. off. off. >> We're optimizing. >> We're optimizing. >> We're optimizing. >> Yeah, maybe they should just >> Yeah, maybe they should just >> Yeah, maybe they should just >> efficientizing or whatever. >> efficientizing or whatever. >> efficientizing or whatever. >> Yeah. Yeah, we're we're um what is it? >> Yeah. Yeah, we're we're um what is it? >> Yeah. Yeah, we're we're um what is it? Um Um Um >> yeah, we're outsourcing and offshoring. >> yeah, we're outsourcing and offshoring. >> yeah, we're outsourcing and offshoring. How's that? Bring that back in. You How's that? Bring that back in. You How's that? Bring that back in. You know, is that really doing know, is that really doing know, is that really doing >> right shoring? Oh my gosh.

  10. >> right shoring? Oh my gosh. >> right shoring? Oh my gosh. >> Optimal shoring. We're Uber shoring. >> Optimal shoring. We're Uber shoring. >> Optimal shoring. We're Uber shoring. Yeah. Right. Yeah. We're just getting Yeah. Right. Yeah. We're just getting Yeah. Right. Yeah. We're just getting rid of folks, especially the old ones. rid of folks, especially the old ones. rid of folks, especially the old ones. >> Yeah. Old good ones who have experience >> Yeah. Old good ones who have experience >> Yeah. Old good ones who have experience that you don't want to listen to. that you don't want to listen to. that you don't want to listen to. >> Get rid of those folks first. >> Get rid of those folks first. >> Get rid of those folks first. >> Yeah. Because they're grumpy grumpy old >> Yeah. Because they're grumpy grumpy old >> Yeah. Because they're grumpy grumpy old guys that uh and gals that just get in guys that uh and gals that just get in guys that uh and gals that just get in the way the way the way >> of innovation because all of us have to >> of innovation because all of us have to >> of innovation because all of us have to innovate. innovate. innovate. >> That's right. >> That's right. >> That's right. >> Right. All of us have to innovate. >> Right. All of us have to innovate. >> Right. All of us have to innovate. Execution means nothing. Execution means nothing. Execution means nothing. >> That's right. >> That's right. >> That's right. >> Go tell Intel that. >> Go tell Intel that. >> Go tell Intel that. >> Yeah. Execution means nothing, right? >> Yeah. Execution means nothing, right? >> Yeah. Execution means nothing, right? You don't execute, You don't execute, You don't execute, >> you get some intel. >> you get some intel. >> you get some intel. >> If you don't Yeah, >> If you don't Yeah, >> If you don't Yeah, I love it. If you don't execute, yeah, I love it. If you don't execute, yeah, I love it. If you don't execute, yeah, you um you um you um you get executed. you get executed. you get executed. >> No, it's true. Like we were just doing >> No, it's true. Like we were just doing >> No, it's true. Like we were just doing some planning for next year and uh yeah, some planning for next year and uh yeah, some planning for next year and uh yeah, you come up with these good ideas, you come up with these good ideas, you come up with these good ideas, right? good strategy, but then at the right? good strategy, but then at the right? good strategy, but then at the end of the day, it's 90% of it's end of the day, it's 90% of it's end of the day, it's 90% of it's execution. Like, you know, don't come up execution. Like, you know, don't come up execution. Like, you know, don't come up with keep keep if you keep coming up with keep keep if you keep coming up with keep keep if you keep coming up with new ideas and new strategies and with new ideas and new strategies and with new ideas and new strategies and don't execute, you're never going to get don't execute, you're never going to get don't execute, you're never going to get anywhere. So, anywhere. So, anywhere. So, >> execute with quality meetings, your >> execute with quality meetings, your >> execute with quality meetings, your agenda.

  11. agenda. agenda. >> Um, yeah. Yeah. And those aren't those >> Um, yeah. Yeah. And those aren't those >> Um, yeah. Yeah. And those aren't those aren't necessarily ideas. It's it's aren't necessarily ideas. It's it's aren't necessarily ideas. It's it's >> no and it's not not glamorous what it >> no and it's not not glamorous what it >> no and it's not not glamorous what it needs to get done but you know companies needs to get done but you know companies needs to get done but you know companies that can consistently execute that can consistently execute that can consistently execute >> um against a good strategy you know >> um against a good strategy you know >> um against a good strategy you know they're winners in the long term but uh they're winners in the long term but uh they're winners in the long term but uh but yeah sometimes you know we also have but yeah sometimes you know we also have but yeah sometimes you know we also have this thing around you know the the new this thing around you know the the new this thing around you know the the new cycle and the hype cycle and what's cycle and the hype cycle and what's cycle and the hype cycle and what's gathering eyeballs and clicks and that gathering eyeballs and clicks and that gathering eyeballs and clicks and that tends to be the new innovative tends to be the new innovative tends to be the new innovative breakthrough idea without execution. Uh breakthrough idea without execution. Uh breakthrough idea without execution. Uh so so so >> but yeah I mean but that's also hugely >> but yeah I mean but that's also hugely >> but yeah I mean but that's also hugely problematic. Um, and then, you know, I problematic. Um, and then, you know, I problematic. Um, and then, you know, I do constantly do constantly do constantly get get get um I I constantly get, you know, what um I I constantly get, you know, what um I I constantly get, you know, what was the point I'm trying to make? Um, I was the point I'm trying to make? Um, I was the point I'm trying to make? Um, I have a lot of people who say that, oh, have a lot of people who say that, oh, have a lot of people who say that, oh, you know, you're you're a downer. It's you know, you're you're a downer. It's you know, you're you're a downer. It's like, no, you're you're way too up. So, like, no, you're you're way too up. So, like, no, you're you're way too up. So, like, you know, one of my posts recently like, you know, one of my posts recently like, you know, one of my posts recently was, I am an AI pragmatist. was, I am an AI pragmatist. was, I am an AI pragmatist. >> I'm not down on it.

  12. >> I'm not down on it. >> I'm not down on it. >> I'm not high on crack on it. >> I'm not high on crack on it. >> I'm not high on crack on it. you got to be kind of in the middle and you got to be kind of in the middle and you got to be kind of in the middle and in balance. So what you know the in balance. So what you know the in balance. So what you know the skepticism with the optimism to skepticism with the optimism to skepticism with the optimism to understand what the ground truth is in understand what the ground truth is in understand what the ground truth is in reality because that's what you can reality because that's what you can reality because that's what you can execute on right and because any you execute on right and because any you execute on right and because any you know anybody can imagine anything know anybody can imagine anything know anybody can imagine anything >> right >> right >> right >> you know I what I'm saying most of those >> you know I what I'm saying most of those >> you know I what I'm saying most of those the output of that imagination and that the output of that imagination and that the output of that imagination and that ideation ideation ideation is just they're just not going to see is just they're just not going to see is just they're just not going to see the light of day or they're just not the light of day or they're just not the light of day or they're just not viable, right? They're just ideas. And I viable, right? They're just ideas. And I viable, right? They're just ideas. And I mean, if you want ideas, just watch Star mean, if you want ideas, just watch Star mean, if you want ideas, just watch Star Trek. They thought of everything. Trek. They thought of everything. Trek. They thought of everything. >> Yeah, that's true. Yeah. >> Yeah, that's true. Yeah. >> Yeah, that's true. Yeah. >> You know, it's just such a waste of time >> You know, it's just such a waste of time >> You know, it's just such a waste of time to go around saying, "Hey, you know, to go around saying, "Hey, you know, to go around saying, "Hey, you know, we're we're an innovative company." we're we're an innovative company." we're we're an innovative company." Well, what about your execution? If your Well, what about your execution? If your Well, what about your execution? If your execution sucks, guess what? I can think execution sucks, guess what? I can think execution sucks, guess what? I can think of stuff, too. I have the problem. I can of stuff, too. I have the problem. I can of stuff, too. I have the problem. I can imagine what a solution would look like. imagine what a solution would look like. imagine what a solution would look like. If you can't stitch together properly a If you can't stitch together properly a If you can't stitch together properly a solution that is reliable, business, solution that is reliable, business, solution that is reliable, business, industry, enterprisegrade, industry, enterprisegrade, industry, enterprisegrade, >> um, >> um, >> um, >> guess what? You're just one of a >> guess what? You're just one of a >> guess what? You're just one of a gazillion other people who probably can gazillion other people who probably can gazillion other people who probably can see a problem and imagine what a see a problem and imagine what a see a problem and imagine what a solution will be. But solution will be. But solution will be. But >> you got to get an engineer, you have to >> you got to get an engineer, you have to >> you got to get an engineer, you have to get a solution architect, you have to get a solution architect, you have to get a solution architect, you have to get um you know some product leadership get um you know some product leadership get um you know some product leadership to stitch together something that is to stitch together something that is to stitch together something that is actually going to solve a problem and actually going to solve a problem and actually going to solve a problem and take ideas into execution.

  13. take ideas into execution. take ideas into execution. >> Yeah. Like feed the tuna fish >> Yeah. Like feed the tuna fish >> Yeah. Like feed the tuna fish mayonnaise, you know, that's a great mayonnaise, you know, that's a great mayonnaise, you know, that's a great idea, but idea, but idea, but >> it's not going to result in tuna salad. >> it's not going to result in tuna salad. >> it's not going to result in tuna salad. It's just not It's just not It's just not >> Well, I mean, it'll cut down on time. >> Well, I mean, it'll cut down on time. >> Well, I mean, it'll cut down on time. >> That's true. >> That's true. >> That's true. it that's a that's an optimization. it that's a that's an optimization. it that's a that's an optimization. >> It's an optimizationization. >> It's an optimizationization. >> It's an optimizationization. Well, optim Yeah. Well, optimization is Well, optim Yeah. Well, optimization is Well, optim Yeah. Well, optimization is part of of execution, right? That's part of of execution, right? That's part of of execution, right? That's >> Yeah. >> Yeah. >> Yeah. >> delivery excellence, design excellence >> delivery excellence, design excellence >> delivery excellence, design excellence and nobody I mean that that's the reason and nobody I mean that that's the reason and nobody I mean that that's the reason why I always had this problem with um why I always had this problem with um why I always had this problem with um agile, the mislication of agile agile, the mislication of agile agile, the mislication of agile principles, which by the way, we should principles, which by the way, we should principles, which by the way, we should probably talk about because I saw some probably talk about because I saw some probably talk about because I saw some funny posts lately about agile. And then funny posts lately about agile. And then funny posts lately about agile. And then um and and the whole MVP and and what um and and the whole MVP and and what um and and the whole MVP and and what underlies agile. This whole concept of underlies agile. This whole concept of underlies agile. This whole concept of MB Oh, awesome, dude. MB Oh, awesome, dude. MB Oh, awesome, dude. >> I need one of those. >> I need one of those. >> I need one of those. >> You guys have your cool hats on and I >> You guys have your cool hats on and I >> You guys have your cool hats on and I don't have a hat on. don't have a hat on. don't have a hat on. >> I need one of those. >> I need one of those. >> I need one of those. >> This is all I need right here, man. >> This is all I need right here, man. >> This is all I need right here, man. >> That's dad. That's not That's cool, man. >> That's dad. That's not That's cool, man. >> That's dad. That's not That's cool, man. >> My My son made it.

  14. >> My My son made it. >> My My son made it. >> Oh, there you go. Handmade. >> Oh, there you go. Handmade. >> Oh, there you go. Handmade. >> It's got the upside down. That's That's >> It's got the upside down. That's That's >> It's got the upside down. That's That's the That's the cool thing now, man. It's the That's the cool thing now, man. It's the That's the cool thing now, man. It's the upside down thing. the upside down thing. the upside down thing. >> Yeah. >> Yeah. >> Yeah. >> Yeah. But hey, you know, MVP, the whole >> Yeah. But hey, you know, MVP, the whole >> Yeah. But hey, you know, MVP, the whole idea of throwing crap against the wall idea of throwing crap against the wall idea of throwing crap against the wall and see what sticks, right? You know, and see what sticks, right? You know, and see what sticks, right? You know, don't test, break things, you know, um, don't test, break things, you know, um, don't test, break things, you know, um, break fast. What is that mantra? break fast. What is that mantra? break fast. What is that mantra? >> Move fast. >> Move fast. >> Move fast. >> Move, you know, break things and then >> Move, you know, break things and then >> Move, you know, break things and then run away as fast as you can. run away as fast as you can. run away as fast as you can. >> Whatever. You know, that whole >> Whatever. You know, that whole >> Whatever. You know, that whole philosophy, mentality came from the philosophy, mentality came from the philosophy, mentality came from the agile um agile camp, right? It's like, agile um agile camp, right? It's like, agile um agile camp, right? It's like, yeah, you're moving too slow. You're not yeah, you're moving too slow. You're not yeah, you're moving too slow. You're not innovating fast enough. But then where's innovating fast enough. But then where's innovating fast enough. But then where's the where's the execution part? where the where's the execution part? where the where's the execution part? where where where's all the delivery quality where where's all the delivery quality where where's all the delivery quality and and and >> that that breaks down that that breaks >> that that breaks down that that breaks >> that that breaks down that that breaks down to I mean there's a number of down to I mean there's a number of down to I mean there's a number of factors that are associated with that factors that are associated with that factors that are associated with that right I mean as a as a technology right I mean as a as a technology right I mean as a as a technology company everyone wants to be innovative company everyone wants to be innovative company everyone wants to be innovative everyone wants to I mean so you know everyone wants to I mean so you know everyone wants to I mean so you know this new thing this hype cycle that this new thing this hype cycle that this new thing this hype cycle that we're in now we're in now we're in now the applicability is really focused I the applicability is really focused I the applicability is really focused I mean the applicability really lives with mean the applicability really lives with mean the applicability really lives with things that are rather They're mundane.

  15. things that are rather They're mundane. things that are rather They're mundane. >> Yeah. >> Yeah. >> Yeah. >> They're not pretty, right? It's it's And >> They're not pretty, right? It's it's And >> They're not pretty, right? It's it's And people, we've said this a million times, people, we've said this a million times, people, we've said this a million times, people don't want to live in the gap of people don't want to live in the gap of people don't want to live in the gap of the ugly because you're just not going the ugly because you're just not going the ugly because you're just not going to get attention that way. But you know to get attention that way. But you know to get attention that way. But you know what? You will get you'll get projects what? You will get you'll get projects what? You will get you'll get projects and you'll get revenue. and you'll get revenue. and you'll get revenue. >> Yeah. Yeah. >> Yeah. Yeah. >> Yeah. Yeah. >> Glamorous the non-glamorous tech. I was >> Glamorous the non-glamorous tech. I was >> Glamorous the non-glamorous tech. I was just talking to someone about edge AI just talking to someone about edge AI just talking to someone about edge AI and you know AI in the real world as we and you know AI in the real world as we and you know AI in the real world as we call it and you know AI in the cloud call it and you know AI in the cloud call it and you know AI in the cloud where you can like do like haikus and where you can like do like haikus and where you can like do like haikus and unicorn pictures and stuff. It's very unicorn pictures and stuff. It's very unicorn pictures and stuff. It's very glamorous and interesting and fake glamorous and interesting and fake glamorous and interesting and fake girlfriends but a lot of edge AI that girlfriends but a lot of edge AI that girlfriends but a lot of edge AI that happens in the real world is kind of happens in the real world is kind of happens in the real world is kind of hidden. It's kind of hidden you know hidden. It's kind of hidden you know hidden. It's kind of hidden you know it's like it's like it's like >> it is >> it is >> it is >> you know water system quality and >> you know water system quality and >> you know water system quality and agriculture and selfch checkckout and agriculture and selfch checkckout and agriculture and selfch checkckout and stuff like that where it just happens. stuff like that where it just happens. stuff like that where it just happens. >> Yeah. >> Yeah. >> Yeah. >> And uh and it's not glamorous but it's >> And uh and it's not glamorous but it's >> And uh and it's not glamorous but it's really impactful. So yeah. Yeah, we tend really impactful. So yeah. Yeah, we tend really impactful. So yeah. Yeah, we tend to be, you know, we like shiny objects to be, you know, we like shiny objects to be, you know, we like shiny objects as a culture. We like um you know, the as a culture. We like um you know, the as a culture. We like um you know, the glamorous stuff, but uh like you said, glamorous stuff, but uh like you said, glamorous stuff, but uh like you said, sometimes the non-glamorous is what pays sometimes the non-glamorous is what pays sometimes the non-glamorous is what pays the bills, you know, the bills, you know, the bills, you know, >> 100%. And but you know what's funny is >> 100%. And but you know what's funny is >> 100%. And but you know what's funny is you make a a tremendous point, the edge.

  16. you make a a tremendous point, the edge. you make a a tremendous point, the edge. So, we've talked about the edge and and So, we've talked about the edge and and So, we've talked about the edge and and and I've said it, you know, since the and I've said it, you know, since the and I've said it, you know, since the beginning of us building digital twins beginning of us building digital twins beginning of us building digital twins is that, well, we don't have a is that, well, we don't have a is that, well, we don't have a centralized repo that houses this data centralized repo that houses this data centralized repo that houses this data and learns on it. And people are like, and learns on it. And people are like, and learns on it. And people are like, well, then how are you doing it? I'm well, then how are you doing it? I'm well, then how are you doing it? I'm like, we're learning on the fly. Well, like, we're learning on the fly. Well, like, we're learning on the fly. Well, what is that? what is that? what is that? >> Well, to be honest with you, it's >> Well, to be honest with you, it's >> Well, to be honest with you, it's innovation at its best. innovation at its best. innovation at its best. >> Innovation? What does that mean? I mean >> Innovation? What does that mean? I mean >> Innovation? What does that mean? I mean it's innovation at its best. You're it's innovation at its best. You're it's innovation at its best. You're you're using you're using lightweight you're using you're using lightweight you're using you're using lightweight code. You're using existing compute. code. You're using existing compute. code. You're using existing compute. You're using the edge and you're saying You're using the edge and you're saying You're using the edge and you're saying well just imagine these are all well just imagine these are all well just imagine these are all distributed databases that are actually distributed databases that are actually distributed databases that are actually learning what's happening in the real learning what's happening in the real learning what's happening in the real world at the same at that time with world at the same at that time with world at the same at that time with streaming data. And by the way we know streaming data. And by the way we know streaming data. And by the way we know what was and what and now we can predict what was and what and now we can predict what was and what and now we can predict what's going to be based on the learning what's going to be based on the learning what's going to be based on the learning on the fly. Yeah. on the fly. Yeah. on the fly. Yeah. >> So, you know, now then now then then >> So, you know, now then now then then >> So, you know, now then now then then they want to dig in. Well, wait a they want to dig in. Well, wait a they want to dig in. Well, wait a minute. How are you doing that? None of minute. How are you doing that? None of minute. How are you doing that? None of your flipping business. You should get your flipping business. You should get your flipping business. You should get out there and do it yourself.

  17. out there and do it yourself. out there and do it yourself. >> You do it yourself. That's our secret >> You do it yourself. That's our secret >> You do it yourself. That's our secret sauce. Yeah. But you know this this sauce. Yeah. But you know this this sauce. Yeah. But you know this this whole talk so when it when it comes to whole talk so when it when it comes to whole talk so when it when it comes to AI, it's interesting that um AI, it's interesting that um AI, it's interesting that um a lot of folks assume that these systems a lot of folks assume that these systems a lot of folks assume that these systems can learn, right? So if you have a AI can learn, right? So if you have a AI can learn, right? So if you have a AI system in particular generative AI okay system in particular generative AI okay system in particular generative AI okay so we're talking about generative AI so we're talking about generative AI so we're talking about generative AI which just you know relatively came into which just you know relatively came into which just you know relatively came into the picture I mean it's 3 years and the picture I mean it's 3 years and the picture I mean it's 3 years and still no one's really figured out how to still no one's really figured out how to still no one's really figured out how to tame these things but a large and you tame these things but a large and you tame these things but a large and you know they can claim they they have they know they can claim they they have they know they can claim they they have they haven't you know it's like even Jensen haven't you know it's like even Jensen haven't you know it's like even Jensen now is going around saying you can't now is going around saying you can't now is going around saying you can't stop these things from hallucinating stop these things from hallucinating stop these things from hallucinating it's true you should have told everyone it's true you should have told everyone it's true you should have told everyone and kept telling everyone one from the and kept telling everyone one from the and kept telling everyone one from the very freaking beginning before all this very freaking beginning before all this very freaking beginning before all this stuff exploded. But um these things stuff exploded. But um these things stuff exploded. But um these things don't nec they they don't learn. They don't nec they they don't learn. They don't nec they they don't learn. They apply what they've learned. You train apply what they've learned. You train apply what they've learned. You train them, right? And yeah, that is sort of them, right? And yeah, that is sort of them, right? And yeah, that is sort of like learning, but it's a it's a a like learning, but it's a it's a a like learning, but it's a it's a a learning exercise that you go through.

  18. learning exercise that you go through. learning exercise that you go through. It's almost like programming actually. It's almost like programming actually. It's almost like programming actually. It's really not. It's like fuzzy and It's really not. It's like fuzzy and It's really not. It's like fuzzy and programming a fuzzy thing, right? Um programming a fuzzy thing, right? Um programming a fuzzy thing, right? Um but learning is a a you have different but learning is a a you have different but learning is a a you have different degrees where you know what we do we can degrees where you know what we do we can degrees where you know what we do we can learn on the fly these LLMs can't learn learn on the fly these LLMs can't learn learn on the fly these LLMs can't learn on the fly on the fly on the fly >> right >> right >> right >> um you have to train them very >> um you have to train them very >> um you have to train them very expensively and then it's a snapshot expensively and then it's a snapshot expensively and then it's a snapshot right after that right after that right after that um it only knows what it knows you know um it only knows what it knows you know um it only knows what it knows you know whatever it was trained on right so it's whatever it was trained on right so it's whatever it was trained on right so it's more like a database than it is a human. more like a database than it is a human. more like a database than it is a human. So what I I think it seems like what cuz So what I I think it seems like what cuz So what I I think it seems like what cuz you know there's also this new term um you know there's also this new term um you know there's also this new term um that these guys pulled out of their that these guys pulled out of their that these guys pulled out of their asses which is uh artificial super asses which is uh artificial super asses which is uh artificial super intelligence, right? So meta intelligence, right? So meta intelligence, right? So meta >> we just skipped over artificial >> we just skipped over artificial >> we just skipped over artificial intelligence intelligence intelligence >> here. Why don't we just come up with the >> here. Why don't we just come up with the >> here. Why don't we just come up with the next like ridiculous BS and next like ridiculous BS and next like ridiculous BS and >> the super duper intelligence? >> the super duper intelligence? >> the super duper intelligence? >> Yeah. No, >> Yeah. No, >> Yeah. No, >> it's on its way. It's on the road map. >> it's on its way. It's on the road map. >> it's on its way. It's on the road map. >> And ridiculous intelligence is what I'm >> And ridiculous intelligence is what I'm >> And ridiculous intelligence is what I'm after. Come back to me when you after. Come back to me when you after. Come back to me when you ludicrous intelligence. Yeah. Ludicrous.

  19. ludicrous intelligence. Yeah. Ludicrous. ludicrous intelligence. Yeah. Ludicrous. Yeah. Plaid. Yeah. Plaid. Yeah. Plaid. >> Plaid. I think you know what? Honestly, >> Plaid. I think you know what? Honestly, >> Plaid. I think you know what? Honestly, I think Elon's gonna win because you I think Elon's gonna win because you I think Elon's gonna win because you know, didn't he like copyright Plaid or know, didn't he like copyright Plaid or know, didn't he like copyright Plaid or is that still a a Mel Brooks thing? is that still a a Mel Brooks thing? is that still a a Mel Brooks thing? >> I don't know. >> I don't know. >> I don't know. >> Oh. Oh, >> Oh. Oh, >> Oh. Oh, >> baseball. >> baseball. >> baseball. >> Wait a minute. Now that you mentioned >> Wait a minute. Now that you mentioned >> Wait a minute. Now that you mentioned that, what what year is your Tesla? that, what what year is your Tesla? that, what what year is your Tesla? >> My Tesla 2020. >> My Tesla 2020. >> My Tesla 2020. >> Oh, you missed out on it as well. You >> Oh, you missed out on it as well. You >> Oh, you missed out on it as well. You know that the latest update put Grock know that the latest update put Grock know that the latest update put Grock into the car. into the car. into the car. >> Oh yeah. No, no, no. Yeah, yeah, yeah. >> Oh yeah. No, no, no. Yeah, yeah, yeah. >> Oh yeah. No, no, no. Yeah, yeah, yeah. My wife's has My wife's has My wife's has >> And it And it has an unhinged mode. >> And it And it has an unhinged mode. >> And it And it has an unhinged mode. >> Really? >> Really? >> Really? >> Go in and ask the unhinged mode. What do >> Go in and ask the unhinged mode. What do >> Go in and ask the unhinged mode. What do you think about uh ICE vehicles? Listen. Listen to what it says. Listen. Listen to what it says. >> Wild. >> Wild. >> Wild. >> Wild. I think >> Wild. I think >> Wild. I think >> you know what it's it's like the magic >> you know what it's it's like the magic >> you know what it's it's like the magic eightball. Remember? Did you guys ever eightball. Remember? Did you guys ever eightball. Remember? Did you guys ever play?

  20. play? play? >> Yeah, I remember that. >> Yeah, I remember that. >> Yeah, I remember that. >> Right. Like people >> Right. Like people >> Right. Like people >> looks cloudy. >> looks cloudy. >> looks cloudy. >> Yeah. Yeah. Looks trying to predict the >> Yeah. Yeah. Looks trying to predict the >> Yeah. Yeah. Looks trying to predict the future again doing with this stuff. It's just so doing with this stuff. It's just so funny. funny. funny. >> The the the rips the the strings of >> The the the rips the the strings of >> The the the rips the the strings of curse words that are coming out of this curse words that are coming out of this curse words that are coming out of this thing. thing. thing. Fabulous. Fabulous. Fabulous. >> Wow. >> Wow. >> Wow. He's productized Tay. Basically, there's He's productized Tay. Basically, there's He's productized Tay. Basically, there's a T mode. a T mode. a T mode. >> Oh my gosh. >> Oh my gosh. >> Oh my gosh. >> Yeah. Yeah. Yeah. It It's I mean, >> Yeah. Yeah. Yeah. It It's I mean, >> Yeah. Yeah. Yeah. It It's I mean, >> Microsoft Microsoft missed their missed >> Microsoft Microsoft missed their missed >> Microsoft Microsoft missed their missed their window again. their window again. their window again. >> At at 3 in the morning, this thing just >> At at 3 in the morning, this thing just >> At at 3 in the morning, this thing just go off. go off. go off. >> Did you hear what Pete just said? >> Did you hear what Pete just said? >> Did you hear what Pete just said? >> Oh, what' you say? >> Oh, what' you say? >> Oh, what' you say? >> He said Microsoft Mr. Window again. >> He said Microsoft Mr. Window again. >> He said Microsoft Mr. Window again. >> That's right. They had >> That's right. They had >> That's right. They had >> Yeah, they had it. >> Yeah, they had it. >> Yeah, they had it. >> They were They were ahead of their time >> They were They were ahead of their time >> They were They were ahead of their time with Tay and then they do it now. with Tay and then they do it now. with Tay and then they do it now. >> They Yeah, they knew that would be >> They Yeah, they knew that would be >> They Yeah, they knew that would be >> just like Tablet Computing and Hollow >> just like Tablet Computing and Hollow >> just like Tablet Computing and Hollow Lens, right? Lens, right? Lens, right? >> Yeah. Nobody wants Stefan Hawkings. They >> Yeah. Nobody wants Stefan Hawkings. They >> Yeah. Nobody wants Stefan Hawkings. They want Andrew Dice Clay, right?

  21. want Andrew Dice Clay, right? want Andrew Dice Clay, right? >> Yeah. >> Yeah. >> Yeah. >> Yeah. Oh man. M by the way speaking of >> Yeah. Oh man. M by the way speaking of >> Yeah. Oh man. M by the way speaking of learning so I you know I know when we learning so I you know I know when we learning so I you know I know when we talk about generative AI we have this talk about generative AI we have this talk about generative AI we have this kind of training and then deployment kind of training and then deployment kind of training and then deployment inference model but in the neuromorphic inference model but in the neuromorphic inference model but in the neuromorphic world if people want to do some research world if people want to do some research world if people want to do some research on that in neuromorphic computing there on that in neuromorphic computing there on that in neuromorphic computing there is this thing called NCL which is is this thing called NCL which is is this thing called NCL which is neuromorphic continuous learning. So neuromorphic continuous learning. So neuromorphic continuous learning. So neuromorphic computing is around like neuromorphic computing is around like neuromorphic computing is around like kind of spiky neural networks and how kind of spiky neural networks and how kind of spiky neural networks and how the brain the brain the brain >> you know processes information and as we >> you know processes information and as we >> you know processes information and as we know as three humans here on the call we know as three humans here on the call we know as three humans here on the call we continuously learn. So, so the idea is continuously learn. So, so the idea is continuously learn. So, so the idea is like how do you uh continuously take like how do you uh continuously take like how do you uh continuously take input and learn and refine your models, input and learn and refine your models, input and learn and refine your models, >> right? >> right? >> right? >> Perfect. So there is some cool research >> Perfect. So there is some cool research >> Perfect. So there is some cool research happening with different architectures happening with different architectures happening with different architectures in AI to do more continuous learning um in AI to do more continuous learning um in AI to do more continuous learning um so that the models do continue to but so that the models do continue to but so that the models do continue to but that has not been applied to generative that has not been applied to generative that has not been applied to generative AI stuff AI stuff AI stuff >> for for transformer models that that's >> for for transformer models that that's >> for for transformer models that that's not what's happening not what's happening not what's happening >> and what maybe that's kind of like what >> and what maybe that's kind of like what >> and what maybe that's kind of like what um Mark Zuckerberg and this new super um Mark Zuckerberg and this new super um Mark Zuckerberg and this new super you know AI supercomput super you know AI supercomput super you know AI supercomput super intelligence group is going to be intelligence group is going to be intelligence group is going to be working on but what everyone else seems working on but what everyone else seems working on but what everyone else seems to be doing is trying to um they're to be doing is trying to um they're to be doing is trying to um they're trying to take the transformer and and trying to take the transformer and and trying to take the transformer and and everything built on top of it thus far everything built on top of it thus far everything built on top of it thus far and then continue to brute force it into and then continue to brute force it into and then continue to brute force it into >> Yeah. brute force continuous learning.

  22. >> Yeah. brute force continuous learning. >> Yeah. brute force continuous learning. >> Yeah. >> Yeah. >> Yeah. >> Transformer models, you know, correcting >> Transformer models, you know, correcting >> Transformer models, you know, correcting other transformer models and blah blah other transformer models and blah blah other transformer models and blah blah blah. But, you know, if you look at like blah. But, you know, if you look at like blah. But, you know, if you look at like Yan Lun and stuff from Meta. Yes. I mean Yan Lun and stuff from Meta. Yes. I mean Yan Lun and stuff from Meta. Yes. I mean they're looking at different they're looking at different they're looking at different architectures and I wouldn't be architectures and I wouldn't be architectures and I wouldn't be surprised if there were some of the more surprised if there were some of the more surprised if there were some of the more newer architectures around continuous newer architectures around continuous newer architectures around continuous learning being investigated. So learning being investigated. So learning being investigated. So >> yeah. >> yeah. >> yeah. >> Yeah. >> Yeah. >> Yeah. >> But I still want to know >> But I still want to know >> But I still want to know >> what problem are you trying to solve? >> what problem are you trying to solve? >> what problem are you trying to solve? >> Yeah. Yeah. Well, I mean, yeah, I mean >> Yeah. Yeah. Well, I mean, yeah, I mean >> Yeah. Yeah. Well, I mean, yeah, I mean that the thing is is that you want at that the thing is is that you want at that the thing is is that you want at the end of the day, um, this thing is the end of the day, um, this thing is the end of the day, um, this thing is just going to give you the most probable just going to give you the most probable just going to give you the most probable answer answer answer regardless because regardless because regardless because and maybe uh consensus a a consensus and maybe uh consensus a a consensus and maybe uh consensus a a consensus opinion and it's going to people who opinion and it's going to people who opinion and it's going to people who determine or believe that opinion or determine or believe that opinion or determine or believe that opinion or that that that >> data point is fact or fiction, >> data point is fact or fiction, >> data point is fact or fiction, >> right?

  23. >> right? >> right? >> True. >> True. >> True. >> Although, how do you know from an >> Although, how do you know from an >> Although, how do you know from an individual that what you're hearing is individual that what you're hearing is individual that what you're hearing is fact, too? So, I mean, fact, too? So, I mean, fact, too? So, I mean, >> you don't that's why I said believe. You >> you don't that's why I said believe. You >> you don't that's why I said believe. You don't know. You just believe. And 99% of don't know. You just believe. And 99% of don't know. You just believe. And 99% of what people are going to do is they'll what people are going to do is they'll what people are going to do is they'll just believe because they don't want to just believe because they don't want to just believe because they don't want to go through the arduous task of actually go through the arduous task of actually go through the arduous task of actually thinking through and researching thinking through and researching thinking through and researching themselves going directly to sources themselves going directly to sources themselves going directly to sources versus having this, you know, uh this versus having this, you know, uh this versus having this, you know, uh this proxy representation of a whole proxy representation of a whole proxy representation of a whole collection, you know, a distribution of collection, you know, a distribution of collection, you know, a distribution of of content and uh you know, I don't of content and uh you know, I don't of content and uh you know, I don't know, data points. I'm not even going to know, data points. I'm not even going to know, data points. I'm not even going to call them facts because I think when I call them facts because I think when I call them facts because I think when I look at what Perplexity does, I mean, it look at what Perplexity does, I mean, it look at what Perplexity does, I mean, it literally draws in these ads as input, literally draws in these ads as input, literally draws in these ads as input, you know, like if you ask, well, what you know, like if you ask, well, what you know, like if you ask, well, what what how, you know, what kind of what how, you know, what kind of what how, you know, what kind of business should I get into to uh you business should I get into to uh you business should I get into to uh you know, quadruple my u uh you know, my know, quadruple my u uh you know, my know, quadruple my u uh you know, my invest uh $100,000 investment, invest uh $100,000 investment, invest uh $100,000 investment, >> right, >> right, >> right, >> in it. And then what you see in like the >> in it. And then what you see in like the >> in it. And then what you see in like the ads are I mean you know the references ads are I mean you know the references ads are I mean you know the references are like get rich quick.

  24. are like get rich quick. are like get rich quick. >> That's right. >> That's right. >> That's right. >> You know invest in crypto you know all >> You know invest in crypto you know all >> You know invest in crypto you know all kinds about the sea monkey. kinds about the sea monkey. kinds about the sea monkey. >> Yeah. Yeah. Yeah. Um yeah sea monkeys. >> Yeah. Yeah. Yeah. Um yeah sea monkeys. >> Yeah. Yeah. Yeah. Um yeah sea monkeys. >> Open a sea monkey farm. You know >> Open a sea monkey farm. You know >> Open a sea monkey farm. You know >> man I wanted those when I was growing >> man I wanted those when I was growing >> man I wanted those when I was growing up. up. up. >> Yeah. Same here. >> Yeah. Same here. >> Yeah. Same here. >> Yeah. >> Yeah. >> Yeah. And I always thought that they would And I always thought that they would And I always thought that they would look like the cartoonish look like the cartoonish look like the cartoonish >> Yeah. That that see that that's >> Yeah. That that see that that's >> Yeah. That that see that that's >> false advertising >> false advertising >> false advertising thing. thing. thing. >> Yeah, exactly. And then it's like this >> Yeah, exactly. And then it's like this >> Yeah, exactly. And then it's like this creepy looking Yeah. bug creepy looking Yeah. bug creepy looking Yeah. bug >> underwater. >> underwater. >> underwater. >> So, speaking of all that, Leonard, I I >> So, speaking of all that, Leonard, I I >> So, speaking of all that, Leonard, I I sent you sent you sent you an a LinkedIn post where they were an a LinkedIn post where they were an a LinkedIn post where they were talking about MIT had done a study uh talking about MIT had done a study uh talking about MIT had done a study uh the first brain scan study on chat GPT the first brain scan study on chat GPT the first brain scan study on chat GPT users. users. users. 83% of the users couldn't remember a 83% of the users couldn't remember a 83% of the users couldn't remember a single sentence they had written just single sentence they had written just single sentence they had written just minutes earlier. >> I don't even need chat GPT.

  25. >> I don't even need chat GPT. But see, you're But see, you're But see, you're >> What's the demographic that they tested? >> What's the demographic that they tested? >> What's the demographic that they tested? >> You're one of the aging individuals, so >> You're one of the aging individuals, so >> You're one of the aging individuals, so that's expected. that's expected. that's expected. >> Oh, really? >> Oh, really? >> Oh, really? >> That means it only makes it worse. That >> That means it only makes it worse. That >> That means it only makes it worse. That means you'll forget everything. It'll means you'll forget everything. It'll means you'll forget everything. It'll accelerate. accelerate. accelerate. >> You don't have to ask Chad DPT to tell >> You don't have to ask Chad DPT to tell >> You don't have to ask Chad DPT to tell you tell you what your own name is. you tell you what your own name is. you tell you what your own name is. >> Oh my god. Okay. >> Oh my god. Okay. >> Oh my god. Okay. >> But that I mean that is just that that >> But that I mean that is just that that >> But that I mean that is just that that just for me just validates what we were just for me just validates what we were just for me just validates what we were saying, you know, in terms of how people saying, you know, in terms of how people saying, you know, in terms of how people are leveraging it. critical thinking is are leveraging it. critical thinking is are leveraging it. critical thinking is going to go out the window going to go out the window going to go out the window >> because you know I mean that was the >> because you know I mean that was the >> because you know I mean that was the whole benefit when we're debating about whole benefit when we're debating about whole benefit when we're debating about things from a one technologies things from a one technologies things from a one technologies philosophical approach philosophical approach philosophical approach >> right >> right >> right >> and you're talking to your peers you're >> and you're talking to your peers you're >> and you're talking to your peers you're mind sharing and that that continuous mind sharing and that that continuous mind sharing and that that continuous learning is happen happening because I learning is happen happening because I learning is happen happening because I can talk to Pete about something and can talk to Pete about something and can talk to Pete about something and Pete say hey but wait a minute did you Pete say hey but wait a minute did you Pete say hey but wait a minute did you know about this and it's like no I had know about this and it's like no I had know about this and it's like no I had never heard of that never heard of that never heard of that >> okay I just learned something now how do >> okay I just learned something now how do >> okay I just learned something now how do I apply that to the theory that I just, I apply that to the theory that I just, I apply that to the theory that I just, you know, articulated. My theory is now you know, articulated. My theory is now you know, articulated. My theory is now going to change because I've got new going to change because I've got new going to change because I've got new information.

  26. information. information. >> Yeah. >> Yeah. >> Yeah. >> You know, critical thinking, that's the >> You know, critical thinking, that's the >> You know, critical thinking, that's the in schools these days, that's the main in schools these days, that's the main in schools these days, that's the main thing people need to be taught is thing people need to be taught is thing people need to be taught is critical thinking. critical thinking. critical thinking. >> They need to, but I don't I think it's >> They need to, but I don't I think it's >> They need to, but I don't I think it's going to go out the window. So, we went going to go out the window. So, we went going to go out the window. So, we went uh we just visited a couple of private uh we just visited a couple of private uh we just visited a couple of private schools to send our kids to because I schools to send our kids to because I schools to send our kids to because I have a growing concern because, you have a growing concern because, you have a growing concern because, you know, I live in uh PHR, which is a know, I live in uh PHR, which is a know, I live in uh PHR, which is a Pacific Highland Ranch, and there's a Pacific Highland Ranch, and there's a Pacific Highland Ranch, and there's a bunch of, you know, like big tech bunch of, you know, like big tech bunch of, you know, like big tech people, engineers, executives who live people, engineers, executives who live people, engineers, executives who live in my community, right? in my community, right? in my community, right? >> You mean rich people? >> You mean rich people? >> You mean rich people? >> Yeah. >> Yeah. >> Yeah. aka aka aka >> some of these folks, I mean, some of the >> some of these folks, I mean, some of the >> some of these folks, I mean, some of the parents, I mean, they literally want parents, I mean, they literally want parents, I mean, they literally want their the kids to be trained on their the kids to be trained on their the kids to be trained on generative AI. They don't see any generative AI. They don't see any generative AI. They don't see any problem with it. You have some of these problem with it. You have some of these problem with it. You have some of these folks who are just completely high on folks who are just completely high on folks who are just completely high on this stuff, wanting their kids to be this stuff, wanting their kids to be this stuff, wanting their kids to be able to use the tool. able to use the tool. able to use the tool. And And And you know, I'm I'm like actually uh you know, I'm I'm like actually uh you know, I'm I'm like actually uh concerned about sending my kid to a a concerned about sending my kid to a a concerned about sending my kid to a a public school because you have these public school because you have these public school because you have these parents influencing the administrators parents influencing the administrators parents influencing the administrators and pushing them to adopt and allow the and pushing them to adopt and allow the and pushing them to adopt and allow the kids to use kids to use kids to use >> uh generative AI and and they don't >> uh generative AI and and they don't >> uh generative AI and and they don't understand that it's not you we're not understand that it's not you we're not understand that it's not you we're not sending kids to a freaking vocational sending kids to a freaking vocational sending kids to a freaking vocational school for a technology that moves school for a technology that moves school for a technology that moves fastaster. faster than lightning. You fastaster. faster than lightning. You fastaster. faster than lightning. You know what I'm saying? I It's just these know what I'm saying? I It's just these know what I'm saying? I It's just these guys don't get it. And you go to some of guys don't get it. And you go to some of guys don't get it. And you go to some of these parent association meetings, it's these parent association meetings, it's these parent association meetings, it's like, wow, man. Um and and so some of

  27. like, wow, man. Um and and so some of like, wow, man. Um and and so some of these we're looking for a private school these we're looking for a private school these we're looking for a private school where and we found one where they focus where and we found one where they focus where and we found one where they focus on classical learning, right? Using on classical learning, right? Using on classical learning, right? Using Socratic method, teaching to kids, um Socratic method, teaching to kids, um Socratic method, teaching to kids, um more of a taking more of a liberal more of a taking more of a liberal more of a taking more of a liberal approach. I don't mean like politically approach. I don't mean like politically approach. I don't mean like politically liberal but a you know a a liberal arts liberal but a you know a a liberal arts liberal but a you know a a liberal arts approach versus let's say purely you approach versus let's say purely you approach versus let's say purely you know STEMbased but teaching kids to uh know STEMbased but teaching kids to uh know STEMbased but teaching kids to uh think critically and develop their think critically and develop their think critically and develop their thinking uh over the course of their um thinking uh over the course of their um thinking uh over the course of their um you know their time uh at that school. you know their time uh at that school. you know their time uh at that school. And so it's really actually very And so it's really actually very And so it's really actually very compelling, but they're also very uh compelling, but they're also very uh compelling, but they're also very uh anti-w we don't bring tools in. We we anti-w we don't bring tools in. We we anti-w we don't bring tools in. We we use human interaction and uh you know use human interaction and uh you know use human interaction and uh you know classroom interaction to foster classroom interaction to foster classroom interaction to foster learning, but more more importantly learning, but more more importantly learning, but more more importantly teaching kids how to speak teaching kids how to speak teaching kids how to speak and debate, and debate, and debate, you know, and um when I see what kids do you know, and um when I see what kids do you know, and um when I see what kids do these days, they just hole up in their these days, they just hole up in their these days, they just hole up in their room and freaking they don't talk.

  28. room and freaking they don't talk. room and freaking they don't talk. Yeah. Rock and roll records. Yeah. Rock and roll records. Yeah. Rock and roll records. >> Yeah. >> Yeah. >> Yeah. >> Anyway, >> Anyway, >> Anyway, >> although I would say I would say, >> although I would say I would say, >> although I would say I would say, Leonard, as someone who's put kids Leonard, as someone who's put kids Leonard, as someone who's put kids through public and private schools, through public and private schools, through public and private schools, sometimes the private schools can get a sometimes the private schools can get a sometimes the private schools can get a little gnarly too with the parents and little gnarly too with the parents and little gnarly too with the parents and the and the difference in the private the and the difference in the private the and the difference in the private schools is that the the parents give a schools is that the the parents give a schools is that the the parents give a lot of money to the schools and then you lot of money to the schools and then you lot of money to the schools and then you get a little you get some skewed get a little you get some skewed get a little you get some skewed influence on them. influence on them. influence on them. >> Pluses and minuses. But I think if you >> Pluses and minuses. But I think if you >> Pluses and minuses. But I think if you find a school where um you have the find a school where um you have the find a school where um you have the right philosophy from the beginning, right philosophy from the beginning, right philosophy from the beginning, then I think that helps for sure. then I think that helps for sure. then I think that helps for sure. >> Well, I I totally agree with that. I >> Well, I I totally agree with that. I >> Well, I I totally agree with that. I mean with for from someone that has all mean with for from someone that has all mean with for from someone that has all three of my girls have went to to three of my girls have went to to three of my girls have went to to private school, but private school, but private school, but the interesting thing that I discovered the interesting thing that I discovered the interesting thing that I discovered was I wanted them to get away from tech was I wanted them to get away from tech was I wanted them to get away from tech and back to back to using the the So the and back to back to using the the So the and back to back to using the the So the school that my 15-year-old goes to for school that my 15-year-old goes to for school that my 15-year-old goes to for math, they use a flipping abacus. math, they use a flipping abacus. math, they use a flipping abacus. >> An abacus. >> An abacus. >> An abacus. >> Why not?

  29. >> Why not? >> Why not? Why not? Gives them a feel for math. Why not? Gives them a feel for math. Why not? Gives them a feel for math. >> Her computational skills just in her >> Her computational skills just in her >> Her computational skills just in her head are awesome. head are awesome. head are awesome. >> Yeah. >> Yeah. >> Yeah. >> And her reasoning capabilities, >> And her reasoning capabilities, >> And her reasoning capabilities, I mean, we're having conversations now I mean, we're having conversations now I mean, we're having conversations now and I get impressed because I'm like, and I get impressed because I'm like, and I get impressed because I'm like, "Oh, you're you're having a real "Oh, you're you're having a real "Oh, you're you're having a real conversation with me." And you're conversation with me." And you're conversation with me." And you're running the numbers in your head running the numbers in your head running the numbers in your head >> as opposed to let me chat GPT or let me >> as opposed to let me chat GPT or let me >> as opposed to let me chat GPT or let me Google that. Google that. Google that. >> Yeah. Yeah. Yeah. And so yeah, I mean >> Yeah. Yeah. Yeah. And so yeah, I mean >> Yeah. Yeah. Yeah. And so yeah, I mean what do you guys think in terms of the what do you guys think in terms of the what do you guys think in terms of the because you the big question nowadays because you the big question nowadays because you the big question nowadays everyone's asking uh is um where where everyone's asking uh is um where where everyone's asking uh is um where where should these young folks um should these young folks um should these young folks um what what should these young folks um what what should these young folks um what what should these young folks um focus on for you know their careers, focus on for you know their careers, focus on for you know their careers, right? What what major or what right? What what major or what right? What what major or what >> Yeah. Yeah. Hm. >> Yeah. Yeah. Hm. >> Yeah. Yeah. Hm. Vocation. I mean, old school vocational Vocation. I mean, old school vocational Vocation. I mean, old school vocational skills. skills. skills. >> Old school. What do >> Old school. What do >> Old school. What do >> you mean by that? >> you mean by that?

  30. >> you mean by that? >> I mean, air condition, air conditioning, >> I mean, air condition, air conditioning, >> I mean, air condition, air conditioning, repair. repair. repair. >> Yes. No, I think I think this a good >> Yes. No, I think I think this a good >> Yes. No, I think I think this a good skill set. There's two two things that I skill set. There's two two things that I skill set. There's two two things that I think would serve anyone very well, think would serve anyone very well, think would serve anyone very well, which is first of all, good people which is first of all, good people which is first of all, good people skills. So, working with people, skills. So, working with people, skills. So, working with people, understanding people, uh being able to understanding people, uh being able to understanding people, uh being able to empathize and support people and lead empathize and support people and lead empathize and support people and lead people, those people skills are really people, those people skills are really people, those people skills are really important. And then the other thing is important. And then the other thing is important. And then the other thing is creativity. I think fostering creativity. I think fostering creativity. I think fostering creativity, being a creative person will creativity, being a creative person will creativity, being a creative person will apply wherever young people work. Uh so apply wherever young people work. Uh so apply wherever young people work. Uh so if they have good people skills and are if they have good people skills and are if they have good people skills and are creative, then the rest of it's kind of creative, then the rest of it's kind of creative, then the rest of it's kind of commentary I think in my opinion. So commentary I think in my opinion. So commentary I think in my opinion. So >> yeah, >> yeah, >> yeah, >> I'm in alignment with the the people >> I'm in alignment with the the people >> I'm in alignment with the the people skills. Absolutely. The skills. Absolutely. The skills. Absolutely. The >> that's a hustle. You got to learn how to >> that's a hustle. You got to learn how to >> that's a hustle. You got to learn how to hustle. hustle. hustle. >> Well, you know, >> Well, you know, >> Well, you know, >> you have to learn how to engage. >> you have to learn how to engage. >> you have to learn how to engage. >> Yeah. >> Yeah. >> Yeah. >> Learn how to hustle and support. I mean >> Learn how to hustle and support. I mean >> Learn how to hustle and support. I mean people will always need they'll always people will always need they'll always people will always need they'll always be need folks to support people right I be need folks to support people right I be need folks to support people right I mean we're seeing like actually a huge mean we're seeing like actually a huge mean we're seeing like actually a huge shift toward you know supporting you shift toward you know supporting you shift toward you know supporting you know mental health and social health and know mental health and social health and know mental health and social health and things like that then there's obviously things like that then there's obviously things like that then there's obviously like the hard sciences like so people like the hard sciences like so people like the hard sciences like so people some people just are into like genetics some people just are into like genetics some people just are into like genetics or into like biology and into like so I or into like biology and into like so I or into like biology and into like so I think if your kids have like a think if your kids have like a think if your kids have like a predisposition to like you know CSI or predisposition to like you know CSI or predisposition to like you know CSI or whatever then let them roll with it but whatever then let them roll with it but whatever then let them roll with it but I think the foundational skills around I think the foundational skills around I think the foundational skills around people and creativity people and creativity people and creativity are universally applicable. Then they are universally applicable. Then they are universally applicable. Then they can become like a very empathetic and can become like a very empathetic and can become like a very empathetic and creative air uh you know air creative air uh you know air creative air uh you know air conditioning repair repair person.

  31. conditioning repair repair person. conditioning repair repair person. >> Hey, I'm telling you that stuff is going >> Hey, I'm telling you that stuff is going >> Hey, I'm telling you that stuff is going to be necessary. to be necessary. to be necessary. >> It's good business, man. Yeah. >> It's good business, man. Yeah. >> It's good business, man. Yeah. >> Air conditioning, man. It's going to be >> Air conditioning, man. It's going to be >> Air conditioning, man. It's going to be that's the future. that's the future. that's the future. >> I mean, refrigerator, my freezer just >> I mean, refrigerator, my freezer just >> I mean, refrigerator, my freezer just stopped making ice. stopped making ice. stopped making ice. >> There you go. >> There you go. >> There you go. >> I'm picking it up. Thermodor, >> I'm picking it up. Thermodor, >> I'm picking it up. Thermodor, >> send someone over. They didn't say, "Can >> send someone over. They didn't say, "Can >> send someone over. They didn't say, "Can we burn the diagnostics on your we burn the diagnostics on your we burn the diagnostics on your freezer?" No. You get over here and fix freezer?" No. You get over here and fix freezer?" No. You get over here and fix it. it. it. >> Yeah. Yeah. Yeah. Yeah. You know what? I >> Yeah. Yeah. Yeah. Yeah. You know what? I >> Yeah. Yeah. Yeah. Yeah. You know what? I I still think um I think I still think I still think um I think I still think I still think um I think I still think computer science and STEM are good computer science and STEM are good computer science and STEM are good fields to go into. It's just as long as fields to go into. It's just as long as fields to go into. It's just as long as you don't expect you don't expect you don't expect as long as you don't expect to work at as long as you don't expect to work at as long as you don't expect to work at Google or Meta, Google or Meta, Google or Meta, >> I don't think there's anything entirely >> I don't think there's anything entirely >> I don't think there's anything entirely wrong with it. And if you know in terms wrong with it. And if you know in terms wrong with it. And if you know in terms of like a career path and how to get of like a career path and how to get of like a career path and how to get your first job um you know uh your first job um you know uh your first job um you know uh maybe u you you need experience anyways, maybe u you you need experience anyways, maybe u you you need experience anyways, right?

  32. right? right? >> Yeah. And just go get your get your >> Yeah. And just go get your get your >> Yeah. And just go get your get your hands dirty and and do some of the hands dirty and and do some of the hands dirty and and do some of the plumbing jobs that and the HVAC kind of plumbing jobs that and the HVAC kind of plumbing jobs that and the HVAC kind of >> work, you know, you know, get down and >> work, you know, you know, get down and >> work, you know, you know, get down and dirty. maybe go and just do some dirty. maybe go and just do some dirty. maybe go and just do some consulting work, may some of it on via consulting work, may some of it on via consulting work, may some of it on via an internship or something like that. an internship or something like that. an internship or something like that. But I think you still need to have But I think you still need to have But I think you still need to have people who know how to do faking math people who know how to do faking math people who know how to do faking math and know how these computer systems and know how these computer systems and know how these computer systems work. Otherwise, we're going to truly work. Otherwise, we're going to truly work. Otherwise, we're going to truly end up in idiocracy where, you know, the end up in idiocracy where, you know, the end up in idiocracy where, you know, the AI spinning out all these crazy answers AI spinning out all these crazy answers AI spinning out all these crazy answers because truly like what we we uh because truly like what we we uh because truly like what we we uh mentioned like when this AI craze just mentioned like when this AI craze just mentioned like when this AI craze just started started started the these AIs are going to be trained on the these AIs are going to be trained on the these AIs are going to be trained on our our junk, our our junk, our our junk, right? And eventually it's the these right? And eventually it's the these right? And eventually it's the these things are going to tell us and someone things are going to tell us and someone things are going to tell us and someone of importance in the physical world is of importance in the physical world is of importance in the physical world is going to mimic the determination or it going to mimic the determination or it going to mimic the determination or it could actually be a robot, right?

  33. could actually be a robot, right? could actually be a robot, right? uh that or or automaton of some kind uh that or or automaton of some kind uh that or or automaton of some kind that um you know growing crops with that um you know growing crops with that um you know growing crops with electrolyte, you know, sports drinks is electrolyte, you know, sports drinks is electrolyte, you know, sports drinks is how you increase crop yields. how you increase crop yields. how you increase crop yields. >> Goes back >> Goes back >> Goes back >> because it actually got trained on >> because it actually got trained on >> because it actually got trained on idiocracy and it it actually now thinks idiocracy and it it actually now thinks idiocracy and it it actually now thinks that that is true. that that is true. that that is true. >> Well, again, people will do it because >> Well, again, people will do it because >> Well, again, people will do it because they don't they don't they don't >> fish mayonnaise, you know, someone's >> fish mayonnaise, you know, someone's >> fish mayonnaise, you know, someone's be like that's the new thing. Well, you be like that's the new thing. Well, you be like that's the new thing. Well, you should watch as you probably all seen should watch as you probably all seen should watch as you probably all seen the movie Brazil, right? So, I I the movie Brazil, right? So, I I the movie Brazil, right? So, I I encourage people to take a look at that encourage people to take a look at that encourage people to take a look at that if you want a little bit of a Oh, you if you want a little bit of a Oh, you if you want a little bit of a Oh, you should see it. Yeah, it's a pretty good should see it. Yeah, it's a pretty good should see it. Yeah, it's a pretty good kind of techno dystopian u movie from I kind of techno dystopian u movie from I kind of techno dystopian u movie from I don't know like Terry Gilliam from like don't know like Terry Gilliam from like don't know like Terry Gilliam from like 20 or 30 40 years ago, 30 years ago. 20 or 30 40 years ago, 30 years ago. 20 or 30 40 years ago, 30 years ago. >> It's the 80s, right? >> It's the 80s, right? >> It's the 80s, right? >> But I would say kids, you know, learning >> But I would say kids, you know, learning >> But I would say kids, you know, learning STEM is good. like I think they need a STEM is good. like I think they need a STEM is good. like I think they need a broad uh exposure and including the broad uh exposure and including the broad uh exposure and including the arts, including poetry, including visual arts, including poetry, including visual arts, including poetry, including visual arts and um you know I think that's that arts and um you know I think that's that arts and um you know I think that's that that prepares kids for all kinds of that prepares kids for all kinds of that prepares kids for all kinds of possible futures possible futures possible futures >> because you never would know what's >> because you never would know what's >> because you never would know what's going to really spark their interest in going to really spark their interest in going to really spark their interest in you know anthropology or history or you know anthropology or history or you know anthropology or history or things like that. And I think um you things like that. And I think um you things like that. And I think um you know having that kind of those know having that kind of those know having that kind of those fundamental skills then they you know if fundamental skills then they you know if fundamental skills then they you know if they they lean toward you know computer they they lean toward you know computer they they lean toward you know computer architecture or semiconductor design or architecture or semiconductor design or architecture or semiconductor design or you know genetics or whatever then you know genetics or whatever then you know genetics or whatever then that's great. Uh but I think having that that's great. Uh but I think having that that's great. Uh but I think having that full exposure is good too. I think kids full exposure is good too. I think kids full exposure is good too. I think kids need that wellrounded.

  34. need that wellrounded. need that wellrounded. >> Well I think this is where the role we >> Well I think this is where the role we >> Well I think this is where the role we talk about the plumber. Um, there's also talk about the plumber. Um, there's also talk about the plumber. Um, there's also the the janitor, the AI janitor, the the janitor, the AI janitor, the the janitor, the AI janitor, janitor, the the folks who have who have janitor, the the folks who have who have janitor, the the folks who have who have to clean up the mess and then keep the to clean up the mess and then keep the to clean up the mess and then keep the keep the AI nice and sparkling and keep the AI nice and sparkling and keep the AI nice and sparkling and clean, right? A lot of that has also to clean, right? A lot of that has also to clean, right? A lot of that has also to do with the data and also do with the data and also do with the data and also >> AI hygienist. >> AI hygienist. >> AI hygienist. >> Yeah, hygienist. Exactly. And how do you >> Yeah, hygienist. Exactly. And how do you >> Yeah, hygienist. Exactly. And how do you do that without having uh you know do that without having uh you know do that without having uh you know continuing to continuing to continuing to um develop and nurture folks who are um develop and nurture folks who are um develop and nurture folks who are domain specialists, right? domain specialists, right? domain specialists, right? >> And then and then take on the human >> And then and then take on the human >> And then and then take on the human accountability of um truth and fact, accountability of um truth and fact, accountability of um truth and fact, right? Because these things will right? Because these things will right? Because these things will intrinsically misrepresent things, intrinsically misrepresent things, intrinsically misrepresent things, right? And so there there has to be right? And so there there has to be right? And so there there has to be humans that will continue to evolve the humans that will continue to evolve the humans that will continue to evolve the consensus consensus consensus uh with new perspective and new um you uh with new perspective and new um you uh with new perspective and new um you know basis uh of fact, right?

  35. know basis uh of fact, right? know basis uh of fact, right? >> Mhm. And um you know, you're going to >> Mhm. And um you know, you're going to >> Mhm. And um you know, you're going to still need to have some of these folks still need to have some of these folks still need to have some of these folks who are authorities and obviously you who are authorities and obviously you who are authorities and obviously you want them certified and trained and and want them certified and trained and and want them certified and trained and and uh you know, trustworthy uh you know, trustworthy uh you know, trustworthy uh experts, but that takes time to uh experts, but that takes time to uh experts, but that takes time to establish, right? And I think one of the establish, right? And I think one of the establish, right? And I think one of the dangers right now is that especially dangers right now is that especially dangers right now is that especially with the rhetoric in the, you know, with the rhetoric in the, you know, with the rhetoric in the, you know, especially in the financial community especially in the financial community especially in the financial community that, hey, we're going to get rid of that, hey, we're going to get rid of that, hey, we're going to get rid of everybody and humans just suck and everybody and humans just suck and everybody and humans just suck and don't, you know, account for and amount don't, you know, account for and amount don't, you know, account for and amount to anything and we need to do this whole to anything and we need to do this whole to anything and we need to do this whole universal universal universal minimum income or basic income thing. minimum income or basic income thing. minimum income or basic income thing. >> They completely discount all this stuff. >> They completely discount all this stuff. >> They completely discount all this stuff. And you know, you don't see it, you And you know, you don't see it, you And you know, you don't see it, you don't see it in their talk tracks that, don't see it in their talk tracks that, don't see it in their talk tracks that, hey, we need to, you know, hey, we need to, you know, hey, we need to, you know, proactively proactively proactively uh come up with a way to uh create that uh come up with a way to uh create that uh come up with a way to uh create that whole human accountability, whole human accountability, whole human accountability, human to um machine accountability human to um machine accountability human to um machine accountability and what that would take and that and what that would take and that and what that would take and that requires people, right? I mean unless we requires people, right? I mean unless we requires people, right? I mean unless we want to become slaves to want to become slaves to want to become slaves to these machines because you know at the these machines because you know at the these machines because you know at the moment moment moment the it seems like the holy grail is the it seems like the holy grail is the it seems like the holy grail is control control control >> and how does control translate into >> and how does control translate into >> and how does control translate into you know benefit for the greater good.

  36. you know benefit for the greater good. you know benefit for the greater good. Right. Right. Right. >> Right. Right. cuz I don't see the >> Right. Right. cuz I don't see the >> Right. Right. cuz I don't see the greater good part other than pornography greater good part other than pornography greater good part other than pornography and you know um really creepy looking and you know um really creepy looking and you know um really creepy looking marketing material marketing material marketing material um and um you know cyber crime. um and um you know cyber crime. um and um you know cyber crime. Those are those are the biggest markets Those are those are the biggest markets Those are those are the biggest markets right now for this stuff. right now for this stuff. right now for this stuff. >> Well, they've always been big markets >> Well, they've always been big markets >> Well, they've always been big markets for everything for everything for everything >> and it's still really not good at >> and it's still really not good at >> and it's still really not good at search, right? It's just that people are search, right? It's just that people are search, right? It's just that people are being led to believe, hey, whatever the being led to believe, hey, whatever the being led to believe, hey, whatever the summarization is is in fact what you summarization is is in fact what you summarization is is in fact what you should know. should know. should know. >> True. >> True. >> True. >> You know what I'm saying? Um >> You know what I'm saying? Um >> You know what I'm saying? Um >> it it it's kind of twisted, but >> it it it's kind of twisted, but >> it it it's kind of twisted, but >> but yeah, you know, to I think to for >> but yeah, you know, to I think to for >> but yeah, you know, to I think to for all the young young folks out there, um all the young young folks out there, um all the young young folks out there, um you know, just have to think a little you know, just have to think a little you know, just have to think a little bit more critically about what survival bit more critically about what survival bit more critically about what survival means, right? And then I I think means, right? And then I I think means, right? And then I I think experience is going to be experience is going to be experience is going to be that's going to be gold for people and that's going to be gold for people and that's going to be gold for people and you have you have you have >> Yeah. Although then then then the the >> Yeah. Although then then then the the >> Yeah. Although then then then the the paradox is of course for young people paradox is of course for young people paradox is of course for young people starting out they don't have the starting out they don't have the starting out they don't have the experience. So how do they how do they experience. So how do they how do they experience. So how do they how do they what do they what do they what do they >> see maybe that's where we can help them.

  37. >> see maybe that's where we can help them. >> see maybe that's where we can help them. Yeah. Where IoT coffee talk can help Yeah. Where IoT coffee talk can help Yeah. Where IoT coffee talk can help them them them >> and then help them think through the >> and then help them think through the >> and then help them think through the entrepreneurial path um the noncriminal entrepreneurial path um the noncriminal entrepreneurial path um the noncriminal one. one. one. Sea monkey farming Sea monkey farming Sea monkey farming >> criminality is just going to be again a >> criminality is just going to be again a >> criminality is just going to be again a convenience. It's going to be so easy convenience. It's going to be so easy convenience. It's going to be so easy that a lot of folks who have been that a lot of folks who have been that a lot of folks who have been dejected by uh the you know the non you dejected by uh the you know the non you dejected by uh the you know the non you know criminal economy know criminal economy know criminal economy >> you know hey >> you know hey >> you know hey anyone who's been super hungry and super anyone who's been super hungry and super anyone who's been super hungry and super poor they know the decisions they have poor they know the decisions they have poor they know the decisions they have to make. And you know, when you make the to make. And you know, when you make the to make. And you know, when you make the dark side convenient, dark side convenient, dark side convenient, it's just it's just the way it is. And it's just it's just the way it is. And it's just it's just the way it is. And you can deny it if you want, but you you can deny it if you want, but you you can deny it if you want, but you know, good luck. know, good luck. know, good luck. >> Well, I mean, it's difficult when you >> Well, I mean, it's difficult when you >> Well, I mean, it's difficult when you have when you have um you know, the like have when you have um you know, the like have when you have um you know, the like Twitch and everything like that where Twitch and everything like that where Twitch and everything like that where these content creators, these, you know, these content creators, these, you know, these content creators, these, you know, are are you know, they're doing like are are you know, they're doing like are are you know, they're doing like anywhere, I mean, the the big ones are anywhere, I mean, the the big ones are anywhere, I mean, the the big ones are hitting like $7 million a year.

  38. hitting like $7 million a year. hitting like $7 million a year. >> Yeah. But what are they creating? What I >> Yeah. But what are they creating? What I >> Yeah. But what are they creating? What I mean, you know, we need an economy mean, you know, we need an economy mean, you know, we need an economy >> creating revenue. That's ridiculous. >> creating revenue. That's ridiculous. >> creating revenue. That's ridiculous. >> No, no, no. But they they're creating >> No, no, no. But they they're creating >> No, no, no. But they they're creating revenue, but the what is the economic revenue, but the what is the economic revenue, but the what is the economic value that they're creating? That's the value that they're creating? That's the value that they're creating? That's the big question, right? Um, you know, in big question, right? Um, you know, in big question, right? Um, you know, in terms of productivity, in terms of terms of productivity, in terms of terms of productivity, in terms of output, in terms of impacting the output, in terms of impacting the output, in terms of impacting the physical world, right? physical world, right? physical world, right? >> You can't you can't digest and subsist >> You can't you can't digest and subsist >> You can't you can't digest and subsist off of uh, you know, a metaverse off of uh, you know, a metaverse off of uh, you know, a metaverse hamburger, right? right? hamburger, right? right? hamburger, right? right? >> You actually got to freaking eat. So, >> You actually got to freaking eat. So, >> You actually got to freaking eat. So, who are the people who are going to who are the people who are going to who are the people who are going to figure that out? And and um you know, figure that out? And and um you know, figure that out? And and um you know, there's a lot of things that uh that there's a lot of things that uh that there's a lot of things that uh that rely on a solid physical economy. We're rely on a solid physical economy. We're rely on a solid physical economy. We're discovering that right now in all this discovering that right now in all this discovering that right now in all this trade stuff, right? trade stuff, right? trade stuff, right? >> Yeah. >> Yeah. >> Yeah. >> Yeah. All of a sudden, the United States >> Yeah. All of a sudden, the United States >> Yeah. All of a sudden, the United States realizes, oh, hey, um, we actually need realizes, oh, hey, um, we actually need realizes, oh, hey, um, we actually need to bring some manufacturing back because to bring some manufacturing back because to bring some manufacturing back because we don't actually man, you know, we're we don't actually man, you know, we're we don't actually man, you know, we're not manufacturing stuff anymore. China not manufacturing stuff anymore. China not manufacturing stuff anymore. China is. And who has a more resilient economy is. And who has a more resilient economy is. And who has a more resilient economy in that that context, right?

  39. in that that context, right? in that that context, right? >> China cuz they can make crap. They can >> China cuz they can make crap. They can >> China cuz they can make crap. They can make stuff really really cheap. They can make stuff really really cheap. They can make stuff really really cheap. They can make aircraft carriers dirt cheap. make aircraft carriers dirt cheap. make aircraft carriers dirt cheap. >> But you're not going to solve that >> But you're not going to solve that >> But you're not going to solve that overnight. You didn't get here overnight. You didn't get here overnight. You didn't get here overnight. But that that's the wakeup overnight. But that that's the wakeup overnight. But that that's the wakeup call. call. call. >> Well, and I mean so so you're going to >> Well, and I mean so so you're going to >> Well, and I mean so so you're going to do this before you ever start to do do this before you ever start to do do this before you ever start to do that. And right now we're doing this. that. And right now we're doing this. that. And right now we're doing this. >> Yeah. And we're going to continue to do >> Yeah. And we're going to continue to do >> Yeah. And we're going to continue to do this cuz right now that's where this cuz right now that's where this cuz right now that's where apparently you can you can kind of apparently you can you can kind of apparently you can you can kind of crypto your way into um you know this crypto your way into um you know this crypto your way into um you know this illusion of economic prosperity which illusion of economic prosperity which illusion of economic prosperity which >> I mean I think you know let's just take >> I mean I think you know let's just take >> I mean I think you know let's just take the you know pornography and the porn the you know pornography and the porn the you know pornography and the porn industry how does that contribute to industry how does that contribute to industry how does that contribute to economic you know other than maybe you economic you know other than maybe you economic you know other than maybe you know you're but even if you're the know you're but even if you're the know you're but even if you're the production ction teams. It's like your production ction teams. It's like your production ction teams. It's like your your output is something that is not your output is something that is not your output is something that is not necessarily going to feed people. It necessarily going to feed people. It necessarily going to feed people. It definitely satisfies certain urges, but definitely satisfies certain urges, but definitely satisfies certain urges, but and and and >> I mean you you >> I mean you you >> I mean you you >> you know what I'm saying? Yeah.

  40. >> you know what I'm saying? Yeah. >> you know what I'm saying? Yeah. >> Only Only Fans is killing it. >> Only Only Fans is killing it. >> Only Only Fans is killing it. >> Oh yeah, they're killing it. But the my >> Oh yeah, they're killing it. But the my >> Oh yeah, they're killing it. But the my question is what economic value are they question is what economic value are they question is what economic value are they creating? What are they generating? I creating? What are they generating? I creating? What are they generating? I mean, in fact, it could be negative, mean, in fact, it could be negative, mean, in fact, it could be negative, right? You have a bunch of people right? You have a bunch of people right? You have a bunch of people watching this stuff and not looking for watching this stuff and not looking for watching this stuff and not looking for a job, not looking to do anything a job, not looking to do anything a job, not looking to do anything productive. productive. productive. I I don't know. You know what I'm I I don't know. You know what I'm I I don't know. You know what I'm saying? They might be their office. saying? They might be their office. saying? They might be their office. >> That's the digital economy today, right? >> That's the digital economy today, right? >> That's the digital economy today, right? I mean, that is the digital economy. I mean, that is the digital economy. I mean, that is the digital economy. They are saying, you know what? I'm They are saying, you know what? I'm They are saying, you know what? I'm going to leverage these things. And you going to leverage these things. And you going to leverage these things. And you know, I mean, I'm sitting here and I'm know, I mean, I'm sitting here and I'm know, I mean, I'm sitting here and I'm I'm I'm having these conversations with I'm I'm having these conversations with I'm I'm having these conversations with people and I'm like, how did we get people and I'm like, how did we get people and I'm like, how did we get here? here? here? >> Yeah. But we're going there. I mean, >> Yeah. But we're going there. I mean, >> Yeah. But we're going there. I mean, it's um Yeah. And it all boils down to it's um Yeah. And it all boils down to it's um Yeah. And it all boils down to maybe marketing, right? You know, like maybe marketing, right? You know, like maybe marketing, right? You know, like if you think about like I know you love if you think about like I know you love if you think about like I know you love BTS, >> but you know, like what the South >> but you know, like what the South Koreans have done with K-pop, right?

  41. Koreans have done with K-pop, right? Koreans have done with K-pop, right? It's a huge marketing engine for them. It's a huge marketing engine for them. It's a huge marketing engine for them. But even marketing, marketing, what kind But even marketing, marketing, what kind But even marketing, marketing, what kind of I mean it becomes a dilemma though, of I mean it becomes a dilemma though, of I mean it becomes a dilemma though, right? You might be really good at that, right? You might be really good at that, right? You might be really good at that, >> but how does that help your economy? >> but how does that help your economy? >> but how does that help your economy? >> Mhm. >> Mhm. >> Mhm. >> Because the economy is actually >> Because the economy is actually >> Because the economy is actually struggling. The Korean economy is struggling. The Korean economy is struggling. The Korean economy is struggling struggling struggling >> because there's only like one person in >> because there's only like one person in >> because there's only like one person in the K-pop industry that's really making the K-pop industry that's really making the K-pop industry that's really making money. money. money. >> He's the >> He's the >> He's the He's the umbrella for BTS, Blackpink, He's the umbrella for BTS, Blackpink, He's the umbrella for BTS, Blackpink, and all of the others that are that are and all of the others that are that are and all of the others that are that are that are under there. and and he's that are under there. and and he's that are under there. and and he's shutting things down because he's like, shutting things down because he's like, shutting things down because he's like, I'm the one, I get to make the money. I'm the one, I get to make the money. I'm the one, I get to make the money. So, I mean, it it again, it's it's these So, I mean, it it again, it's it's these So, I mean, it it again, it's it's these it's these various economies and how it's these various economies and how it's these various economies and how they move that is such a divergence from they move that is such a divergence from they move that is such a divergence from what we were used to and what we were, what we were used to and what we were, what we were used to and what we were, you know, striving for when we got you know, striving for when we got you know, striving for when we got started. And we got to see it all started. And we got to see it all started. And we got to see it all happen. And I'm still, even though I've happen. And I'm still, even though I've happen. And I'm still, even though I've seen it happen, I'm sitting there going, seen it happen, I'm sitting there going, seen it happen, I'm sitting there going, "Wait a minute. How do we get here?" Hm. "Wait a minute. How do we get here?" Hm. "Wait a minute. How do we get here?" Hm. Maybe, you know, maybe because, you Maybe, you know, maybe because, you Maybe, you know, maybe because, you know, I'd really love to help these know, I'd really love to help these know, I'd really love to help these young kids um that are looking at their young kids um that are looking at their young kids um that are looking at their future and maybe not seeing um future and maybe not seeing um future and maybe not seeing um opportunity. It It would be really opportunity. It It would be really opportunity. It It would be really >> We should take IoT coffee talk on the >> We should take IoT coffee talk on the >> We should take IoT coffee talk on the road.

  42. road. road. >> On the road. Yeah. Do some mentorship. >> On the road. Yeah. Do some mentorship. >> On the road. Yeah. Do some mentorship. You know, maybe we have like a couple of You know, maybe we have like a couple of You know, maybe we have like a couple of men. Hey, I mean men. Hey, I mean men. Hey, I mean >> actually, you know, all the other >> actually, you know, all the other >> actually, you know, all the other episodes will be good uh good life episodes will be good uh good life episodes will be good uh good life lessons that they should probably know lessons that they should probably know lessons that they should probably know anyways. anyways. anyways. >> Um >> Um >> Um because, you know, because, you know, because, you know, >> so take take all of the episodes, dump >> so take take all of the episodes, dump >> so take take all of the episodes, dump them into an LLM. them into an LLM. them into an LLM. >> Dude, that that will go tay in an >> Dude, that that will go tay in an >> Dude, that that will go tay in an instant, dude. What are you talking instant, dude. What are you talking instant, dude. What are you talking about? >> Oh my god. Especially with Rob. >> Oh my god. Especially with Rob. Come on. Come on. Come on. >> I mean, hey, I'm thinking I'm thinking >> I mean, hey, I'm thinking I'm thinking >> I mean, hey, I'm thinking I'm thinking that, you know, they need to understand that, you know, they need to understand that, you know, they need to understand what what what Fatful Friday is all what what what Fatful Friday is all what what what Fatful Friday is all about. about. about. >> Fatful Friday. No, I mean I I I mean all all serious in No, I mean I I I mean all all serious in all seriousness I I do think that it's all seriousness I I do think that it's all seriousness I I do think that it's incumbent upon, you know, those of us incumbent upon, you know, those of us incumbent upon, you know, those of us that have already kind of done some that have already kind of done some that have already kind of done some things that are doing things and things that are doing things and things that are doing things and continue to network to go back and go, continue to network to go back and go, continue to network to go back and go, hey, you know, talk to the colleges. I hey, you know, talk to the colleges. I hey, you know, talk to the colleges. I mean I mean Pete, I know you you do that mean I mean Pete, I know you you do that mean I mean Pete, I know you you do that because they're in your they're in your because they're in your they're in your because they're in your they're in your sphere. Um but actually go back and talk sphere. Um but actually go back and talk sphere. Um but actually go back and talk to the colleges you know the you know to the colleges you know the you know to the colleges you know the you know your your alum your I mean all doing your your alum your I mean all doing your your alum your I mean all doing that kind of thing um I think is huge. I that kind of thing um I think is huge. I that kind of thing um I think is huge. I mean we mean we mean we >> that's such a good idea dude. I might do >> that's such a good idea dude. I might do >> that's such a good idea dude. I might do that for UCSD. I I'll call up the school

  43. that for UCSD. I I'll call up the school that for UCSD. I I'll call up the school or some some I don't know or some some I don't know or some some I don't know >> I actually had somebody ask >> I actually had somebody ask >> I actually had somebody ask >> do that with Jacobs with Jacob School of >> do that with Jacobs with Jacob School of >> do that with Jacobs with Jacob School of Engineering. Engineering. Engineering. >> Yeah. I think all these universities I >> Yeah. I think all these universities I >> Yeah. I think all these universities I mean I I work with uh Boston University mean I I work with uh Boston University mean I I work with uh Boston University on their mentorship programs there have on their mentorship programs there have on their mentorship programs there have done for a long time they love alums done for a long time they love alums done for a long time they love alums that come back that are in industry to that come back that are in industry to that come back that are in industry to provide some guidance there. There's provide some guidance there. There's provide some guidance there. There's always a shortage. So I would say anyone always a shortage. So I would say anyone always a shortage. So I would say anyone out there one yeah easy lowhanging fruit out there one yeah easy lowhanging fruit out there one yeah easy lowhanging fruit thing is get back in touch with your thing is get back in touch with your thing is get back in touch with your kind of kind of kind of >> Yeah. No, it's a freaking great idea >> Yeah. No, it's a freaking great idea >> Yeah. No, it's a freaking great idea man. It is a really good idea. man. It is a really good idea. man. It is a really good idea. >> Um in fact I'm going to do that when I >> Um in fact I'm going to do that when I >> Um in fact I'm going to do that when I get back from vacation. So, get back from vacation. So, get back from vacation. So, >> um, no, I I mean, I really want to I I >> um, no, I I mean, I really want to I I >> um, no, I I mean, I really want to I I number one, I want to I I personally number one, I want to I I personally number one, I want to I I personally want to challenge the prevailing talk want to challenge the prevailing talk want to challenge the prevailing talk track on AI as it relates to jobs and track on AI as it relates to jobs and track on AI as it relates to jobs and human careers, right? And then hopefully human careers, right? And then hopefully human careers, right? And then hopefully we can enable um these young minds with we can enable um these young minds with we can enable um these young minds with a mindset that can help them be a mindset that can help them be a mindset that can help them be successful and then help them successful and then help them successful and then help them understand, you know, the foundational understand, you know, the foundational understand, you know, the foundational value of an education, what they can get value of an education, what they can get value of an education, what they can get out of their their investment in a out of their their investment in a out of their their investment in a college education or their parents' college education or their parents' college education or their parents' investment in a college education.

  44. investment in a college education. investment in a college education. I think that that that's worth it. Hey, I think that that that's worth it. Hey, I think that that that's worth it. Hey, hang on. Let's close things up. So, hey hang on. Let's close things up. So, hey hang on. Let's close things up. So, hey everyone, we're at the end of the show. everyone, we're at the end of the show. everyone, we're at the end of the show. We ranted and raved it and hopefully We ranted and raved it and hopefully We ranted and raved it and hopefully there's some good stuff that you guys there's some good stuff that you guys there's some good stuff that you guys can walk away with. We really appreciate can walk away with. We really appreciate can walk away with. We really appreciate if you made it this far, you're wow. if you made it this far, you're wow. if you made it this far, you're wow. But, um, remember, we're we're all for But, um, remember, we're we're all for But, um, remember, we're we're all for the kids. Um, and we're trying to help the kids. Um, and we're trying to help the kids. Um, and we're trying to help kids K through 12, um, you know, kids K through 12, um, you know, kids K through 12, um, you know, participate in this digital future that participate in this digital future that participate in this digital future that we're facing whether we like it or not. we're facing whether we like it or not. we're facing whether we like it or not. Um but you know based even on this Um but you know based even on this Um but you know based even on this conversation there's so much that conversation there's so much that conversation there's so much that experienced people can do to help our experienced people can do to help our experienced people can do to help our younger generations find a path. And so, younger generations find a path. And so, younger generations find a path. And so, you know, one of the things I think you know, one of the things I think you know, one of the things I think that's really we think is really that's really we think is really that's really we think is really important is getting, you know, um, uh, important is getting, you know, um, uh, important is getting, you know, um, uh, laptops and connectivity to kids in um, laptops and connectivity to kids in um, laptops and connectivity to kids in um, underserved and unserved communities underserved and unserved communities underserved and unserved communities cuz, hey, for all we know, the next, you cuz, hey, for all we know, the next, you cuz, hey, for all we know, the next, you know, maybe not Elon Musk, but somebody know, maybe not Elon Musk, but somebody know, maybe not Elon Musk, but somebody that's hopefully better than Elon Musk that's hopefully better than Elon Musk that's hopefully better than Elon Musk >> is among this group of young folks who >> is among this group of young folks who >> is among this group of young folks who uh, may not have the opportunity uh, to uh, may not have the opportunity uh, to uh, may not have the opportunity uh, to um, that the opportunity that others um, that the opportunity that others um, that the opportunity that others have. So, uh anyways, um we'll see you have. So, uh anyways, um we'll see you have. So, uh anyways, um we'll see you next week. Remember to subscribe and next week. Remember to subscribe and next week. Remember to subscribe and like um comment uh on IoT Coffee Talk at like um comment uh on IoT Coffee Talk at like um comment uh on IoT Coffee Talk at www.iot coffee.com and we'll see you www.iot coffee.com and we'll see you www.iot coffee.com and we'll see you next week. Take care. Take care next week. Take care. Take care next week. Take care. Take care everybody. Take care, guys.

  45. everybody. Take care, guys. everybody. Take care, guys. [Music]

Summary

The main theme is the appreciation of classic rock music, specifically the Scorpions and their song "No One Like You," and the skill of their musicians like Klaus Meine and Matthias Jabs. The discussion touches on the melodic solos and the creative journey of musicians like Eddie Van Halen. The takeaway is to recognize and appreciate the artistry and musical progression within classic rock.

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