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iOT Coffee Talk September 5, 2025 1h 3m

IoT Coffee Talk: Episode 277 - On To Better Things (Life Beyond AI and Seattle)

Read full transcript 54 segments
  1. [Applause] [Applause] Heat up up here. here. here. [Applause] I pulled it off. I pulled it off. >> You pulled it off, man. >> You pulled it off, man. >> You pulled it off, man. >> I did it. >> I did it. >> I did it. >> That's what my daughter does all the >> That's what my daughter does all the >> That's what my daughter does all the time. time. time. >> I did it. >> I did it. >> I did it. >> If Rat is missing a guitarist, you could >> If Rat is missing a guitarist, you could >> If Rat is missing a guitarist, you could just join their tour. just join their tour. just join their tour. >> Something, you know, >> Something, you know, >> Something, you know, >> wig gone. >> wig gone. >> wig gone. So, if you're curious what that was, So, if you're curious what that was, So, if you're curious what that was, that was rats. that was rats. that was rats. I want a woman.

  2. I want a woman. I want a woman. And so, that was our mentality back then And so, that was our mentality back then And so, that was our mentality back then when we were like 12 years old, right? when we were like 12 years old, right? when we were like 12 years old, right? When the song first came out. When the song first came out. When the song first came out. >> Slide beat song 8. >> Slide beat song 8. >> Slide beat song 8. >> Yeah. >> Yeah. >> Yeah. >> No, no, no. Maybe. No, no. This is about >> No, no, no. Maybe. No, no. This is about >> No, no, no. Maybe. No, no. This is about the right time. 1988 is when this song the right time. 1988 is when this song the right time. 1988 is when this song came out on the album called Reach for came out on the album called Reach for came out on the album called Reach for the Sky. Okay. the Sky. Okay. the Sky. Okay. >> And it also included really really cool >> And it also included really really cool >> And it also included really really cool two other really cool tunes. Way Cool two other really cool tunes. Way Cool two other really cool tunes. Way Cool Jr. Jr. Jr. >> and then what's the other one? Um >> and then what's the other one? Um >> and then what's the other one? Um there's another one that's really cool. there's another one that's really cool. there's another one that's really cool. Well, I want a woman is really cool. And Well, I want a woman is really cool. And Well, I want a woman is really cool. And then Chain Reaction is pretty cool. But then Chain Reaction is pretty cool. But then Chain Reaction is pretty cool. But for the most part, Rat songs sound for the most part, Rat songs sound for the most part, Rat songs sound pretty much the same except for a few pretty much the same except for a few pretty much the same except for a few outliers. But I actually saw them live. outliers. But I actually saw them live. outliers. But I actually saw them live. >> Wow. >> Wow. >> Wow. >> This weekend. >> This weekend. >> This weekend. >> Wow. >> Wow. >> Wow. You know, it helps when all your songs You know, it helps when all your songs You know, it helps when all your songs sound the same. It's like if you forget sound the same. It's like if you forget sound the same. It's like if you forget your part when you're on the tour, you your part when you're on the tour, you your part when you're on the tour, you can just worry. It's the same as that can just worry. It's the same as that can just worry. It's the same as that other song. It's okay.

  3. other song. It's okay. other song. It's okay. >> Sounds like Way Cool Jr. Way Cool Jr. >> Sounds like Way Cool Jr. Way Cool Jr. >> Sounds like Way Cool Jr. Way Cool Jr. Same song. Same song. Same song. >> Uh-uh. No, no, no. That one. Check it >> Uh-uh. No, no, no. That one. Check it >> Uh-uh. No, no, no. That one. Check it out. It's got some really cool blues out. It's got some really cool blues out. It's got some really cool blues licks in it. It It's different. It's not licks in it. It It's different. It's not licks in it. It It's different. It's not your typical round. Well, Round and your typical round. Well, Round and your typical round. Well, Round and Round was different. But yeah, out of Round was different. But yeah, out of Round was different. But yeah, out of the seller about 80% of the songs the seller about 80% of the songs the seller about 80% of the songs sounded the same. sounded the same. sounded the same. >> You know, they're like filler tunes. >> You know, they're like filler tunes. >> You know, they're like filler tunes. >> Yeah. >> Yeah. >> Yeah. >> Wow. Vixen. Do you guys remember Vixen? >> Wow. Vixen. Do you guys remember Vixen? >> Wow. Vixen. Do you guys remember Vixen? >> Do not. >> Do not. >> Do not. >> No. They were like one of the very few >> No. They were like one of the very few >> No. They were like one of the very few um um um >> heavy metal female bands. >> heavy metal female bands. >> heavy metal female bands. Lita Ford was the other one, right? But Lita Ford was the other one, right? But Lita Ford was the other one, right? But then Lita Ford was really a solo artist. then Lita Ford was really a solo artist. then Lita Ford was really a solo artist. She She She >> Yes. Yeah. Yeah. You know, remember all >> Yes. Yeah. Yeah. You know, remember all >> Yes. Yeah. Yeah. You know, remember all the heavy metal dudes were all in love the heavy metal dudes were all in love the heavy metal dudes were all in love with her. Um Yeah. So, she she had a with her. Um Yeah. So, she she had a with her. Um Yeah. So, she she had a captive captive captive >> What about Oh my gosh. >> What about Oh my gosh. >> What about Oh my gosh. >> But she also ended happened to be a >> But she also ended happened to be a >> But she also ended happened to be a really >> You're in the digital divide, man.

  4. >> You're in the digital divide, man. >> Wow. >> Wow. >> Wow. >> You're out of Minneapolis. Vix came out >> You're out of Minneapolis. Vix came out >> You're out of Minneapolis. Vix came out of Minneapolis in 1973. for those of Minneapolis in 1973. for those of Minneapolis in 1973. for those querying Google like I am. That's what querying Google like I am. That's what querying Google like I am. That's what >> Yeah. >> Yeah. >> Yeah. >> Wow. >> Wow. >> Wow. >> But none of the original band members >> But none of the original band members >> But none of the original band members are in Vixen in its current rendition or are in Vixen in its current rendition or are in Vixen in its current rendition or incarnation. incarnation. incarnation. >> So, uh but check them out. Wow. They are >> So, uh but check them out. Wow. They are >> So, uh but check them out. Wow. They are really good. really good. really good. >> Speaking of them or Lita Ford, remember >> Speaking of them or Lita Ford, remember >> Speaking of them or Lita Ford, remember uh what was the name? Um, I've already uh what was the name? Um, I've already uh what was the name? Um, I've already forgotten forgotten forgotten >> with Aussie Osborne. >> with Aussie Osborne. >> with Aussie Osborne. >> No. Well, yeah. Uh, yeah, I remember >> No. Well, yeah. Uh, yeah, I remember >> No. Well, yeah. Uh, yeah, I remember that song. That was a good one. Um, that song. That was a good one. Um, that song. That was a good one. Um, what was the other woman who, uh, is what was the other woman who, uh, is what was the other woman who, uh, is Dana? I can't remember. Hang on. All I Dana? I can't remember. Hang on. All I Dana? I can't remember. Hang on. All I know is she was a metal rocker and it know is she was a metal rocker and it know is she was a metal rocker and it turns out her background is she was a turns out her background is she was a turns out her background is she was a background singer early on for Michael background singer early on for Michael background singer early on for Michael Jackson. Jackson. Jackson. >> Oh, >> Oh, >> Oh, >> Taylor Dane. Taylor Dane. M Taylor.

  5. >> Taylor Dane. Taylor Dane. M Taylor. >> Taylor Dane. Taylor Dane. M Taylor. >> Remember Taylor? Taylor Dane, she was a >> Remember Taylor? Taylor Dane, she was a >> Remember Taylor? Taylor Dane, she was a rocker, but she got her start as a rocker, but she got her start as a rocker, but she got her start as a background singer for Michael Jackson. background singer for Michael Jackson. background singer for Michael Jackson. >> Really? >> Really? >> Really? >> Yeah. >> Yeah. >> Yeah. >> I just saw her on um uh a a um Apple TV >> I just saw her on um uh a a um Apple TV >> I just saw her on um uh a a um Apple TV Plus special. There's like a whole Plus special. There's like a whole Plus special. There's like a whole series on K-pop series on K-pop series on K-pop >> and she's one of the performers that has >> and she's one of the performers that has >> and she's one of the performers that has her tune K-popified, if that's even a her tune K-popified, if that's even a her tune K-popified, if that's even a word. word. word. >> And she killed it, man. Oh, you you >> And she killed it, man. Oh, you you >> And she killed it, man. Oh, you you should watch that, too, because uh should watch that, too, because uh should watch that, too, because uh >> you can still sing. >> you can still sing. >> you can still sing. >> I mean, >> I mean, >> I mean, >> that's great. >> that's great. >> that's great. >> Really really well. You know what I'm >> Really really well. You know what I'm >> Really really well. You know what I'm saying? Like Aretha Franklin kind of saying? Like Aretha Franklin kind of saying? Like Aretha Franklin kind of Well, Well, Well, >> you better think. >> you better think. >> you better think. >> Yeah. >> Yeah. >> Yeah. >> So, >> So, >> So, >> K-pop. I heard that the number one >> K-pop. I heard that the number one >> K-pop. I heard that the number one alltime show streaming on Netflix, alltime show streaming on Netflix, alltime show streaming on Netflix, whatever, was like some kind of K-pop whatever, was like some kind of K-pop whatever, was like some kind of K-pop demon hunter show or something like demon hunter show or something like demon hunter show or something like that. that. that. >> Like, for real. Like, it's number one >> Like, for real. Like, it's number one >> Like, for real. Like, it's number one all time really. And so, and so I guess all time really. And so, and so I guess all time really. And so, and so I guess I'm going to have to check it out. I'm going to have to check it out. I'm going to have to check it out. >> You know what? We're going to have to >> You know what? We're going to have to >> You know what? We're going to have to just simply succumb to the forces of just simply succumb to the forces of just simply succumb to the forces of K-pop.

  6. K-pop. K-pop. >> I think so. >> I think so. >> I think so. >> There's no way of avoiding it. I know >> There's no way of avoiding it. I know >> There's no way of avoiding it. I know that Stephanie is not a big fan or at that Stephanie is not a big fan or at that Stephanie is not a big fan or at least she's not a fan of BTS. least she's not a fan of BTS. least she's not a fan of BTS. >> Uh, but yeah, it's like one of those >> Uh, but yeah, it's like one of those >> Uh, but yeah, it's like one of those things. It's like AI, right? It kind of things. It's like AI, right? It kind of things. It's like AI, right? It kind of >> I agree >> I agree >> I agree >> kind of sneaked up on you and Nick was >> kind of sneaked up on you and Nick was >> kind of sneaked up on you and Nick was like the biggest thing in the world. So, like the biggest thing in the world. So, like the biggest thing in the world. So, >> and I have to I have to admit, you know, >> and I have to I have to admit, you know, >> and I have to I have to admit, you know, doing the the duet or whatever you want doing the the duet or whatever you want doing the the duet or whatever you want to call it, the collab with BTS on the to call it, the collab with BTS on the to call it, the collab with BTS on the Cold Play's last album is the only thing Cold Play's last album is the only thing Cold Play's last album is the only thing that saved them. that saved them. that saved them. >> The only good the only good song on the >> The only good the only good song on the >> The only good the only good song on the record was the collab they did with BTS. record was the collab they did with BTS. record was the collab they did with BTS. So, sometimes you got to as as Clint So, sometimes you got to as as Clint So, sometimes you got to as as Clint Henwood would would often tell us, a Henwood would would often tell us, a Henwood would would often tell us, a man's got to know his limitations. man's got to know his limitations. man's got to know his limitations. [Laughter] [Laughter] [Laughter] Yeah. Um, that's I guess the next thing Yeah. Um, that's I guess the next thing Yeah. Um, that's I guess the next thing after K-pop would be NK-POP, which is after K-pop would be NK-POP, which is after K-pop would be NK-POP, which is the North Korean version. So, I don't the North Korean version. So, I don't the North Korean version. So, I don't know what the know what the know what the >> that's when you're that's when you're in >> that's when you're that's when you're in >> that's when you're that's when you're in prison, North Korea and you have to prison, North Korea and you have to prison, North Korea and you have to listen to ink listen to ink listen to ink >> on the on the UK Ukraine front.

  7. >> on the on the UK Ukraine front. >> on the on the UK Ukraine front. >> I Yeah. You know what? Actually, that >> I Yeah. You know what? Actually, that >> I Yeah. You know what? Actually, that might happen, Pete, because you know might happen, Pete, because you know might happen, Pete, because you know what? For a while, what the South what? For a while, what the South what? For a while, what the South Koreans were doing was they were Koreans were doing was they were Koreans were doing was they were weaponizing K-pop. They were like weaponizing K-pop. They were like weaponizing K-pop. They were like tossing K-pop. They were playing K-pop. tossing K-pop. They were playing K-pop. tossing K-pop. They were playing K-pop. >> Yeah. blasting it and then >> Yeah. blasting it and then >> Yeah. blasting it and then >> throwing a bunch of like K-pop uh star >> throwing a bunch of like K-pop uh star >> throwing a bunch of like K-pop uh star posters, you know, like these scantily posters, you know, like these scantily posters, you know, like these scantily cat clad uh girls and uh that look like cat clad uh girls and uh that look like cat clad uh girls and uh that look like Sailor Moon and uh these boys who look Sailor Moon and uh these boys who look Sailor Moon and uh these boys who look like, you know, they have way too much like, you know, they have way too much like, you know, they have way too much makeup on makeup on makeup on >> and are way too pretty. Yeah. They're >> and are way too pretty. Yeah. They're >> and are way too pretty. Yeah. They're >> chucking all that stuff over. >> chucking all that stuff over. >> chucking all that stuff over. >> You need a counter offensive. Counter >> You need a counter offensive. Counter >> You need a counter offensive. Counter offensive. offensive. offensive. >> Yeah. Oh yeah. Some of the most uh >> Yeah. Oh yeah. Some of the most uh >> Yeah. Oh yeah. Some of the most uh potent weaponry potent weaponry potent weaponry doesn't explode or pierce your body in doesn't explode or pierce your body in doesn't explode or pierce your body in any way. Yeah. It just all any way. Yeah. It just all any way. Yeah. It just all >> with your mind and next thing you know, >> with your mind and next thing you know, >> with your mind and next thing you know, everyone's trying to sneak over the everyone's trying to sneak over the everyone's trying to sneak over the border. So border. So border. So >> that's right. >> that's right. >> that's right. >> Yeah. Their way through the minefield.

  8. >> Yeah. Their way through the minefield. >> Yeah. Their way through the minefield. Yeah. Yeah. Yeah. >> You got to run for the border. It takes >> You got to run for the border. It takes >> You got to run for the border. It takes on a new meaning, you know. on a new meaning, you know. on a new meaning, you know. >> Exactly. >> Exactly. >> Exactly. >> God. >> God. >> God. >> So my my big question is what the heck's >> So my my big question is what the heck's >> So my my big question is what the heck's going on out here? I'm on the five going on out here? I'm on the five going on out here? I'm on the five driving south. I'm north of Sacramento. driving south. I'm north of Sacramento. driving south. I'm north of Sacramento. Why is everyone driving so slow? Why is everyone driving so slow? Why is everyone driving so slow? >> I thought I thought I was in California. >> I thought I thought I was in California. >> I thought I thought I was in California. Everybody should be going 85 or 90. Everybody should be going 85 or 90. Everybody should be going 85 or 90. What's going on? What's going on? What's going on? >> Speed traps. You don't know about >> Speed traps. You don't know about >> Speed traps. You don't know about >> Yeah, maybe Punch and John are out here >> Yeah, maybe Punch and John are out here >> Yeah, maybe Punch and John are out here somewhere on their motorcycles waiting somewhere on their motorcycles waiting somewhere on their motorcycles waiting to get us. to get us. to get us. >> So, watch out. >> So, watch out. >> So, watch out. >> Yeah, for >> Yeah, for >> Yeah, for those boys and girls out there that those boys and girls out there that those boys and girls out there that don't know what the hell he's talking don't know what the hell he's talking don't know what the hell he's talking about, that's Chips. chips. about, that's Chips. chips. about, that's Chips. chips. >> California Highway Patrol. >> California Highway Patrol. >> California Highway Patrol. >> Yeah. >> Yeah. >> Yeah. >> What the I stands for just Did they just >> What the I stands for just Did they just >> What the I stands for just Did they just like toss that in? like toss that in? like toss that in? >> They needed They needed a vowel. >> They needed They needed a vowel. >> They needed They needed a vowel. >> Well, hi. So, you know, >> Well, hi. So, you know, >> Well, hi. So, you know, >> hi. Pi. >> hi. Pi. >> hi. Pi. >> I'd like to I'd like to buy a vowel. >> I'd like to I'd like to buy a vowel. >> I'd like to I'd like to buy a vowel. Yes. Yes. Yes. >> Chips. >> Chips. >> Chips. >> Chips. Yeah. Yeah. You mean young people >> Chips. Yeah. Yeah. You mean young people >> Chips. Yeah. Yeah. You mean young people don't know about that heartthrob Eric don't know about that heartthrob Eric don't know about that heartthrob Eric Estrada? What?

  9. Estrada? What? Estrada? What? >> I think they forgot. Yeah. >> I think they forgot. Yeah. >> I think they forgot. Yeah. >> They forgot. Wow. All right. >> They forgot. Wow. All right. >> They forgot. Wow. All right. Yeah, people are driving slow. I'm Yeah, people are driving slow. I'm Yeah, people are driving slow. I'm literally going 67 in traffic on the literally going 67 in traffic on the literally going 67 in traffic on the five. What the in the middle of nowhere? five. What the in the middle of nowhere? five. What the in the middle of nowhere? >> What wrong with you people? >> Well, they must rage drive in the >> Well, they must rage drive in the Northwest. Northwest. Northwest. >> They don't quite frustrated. >> They don't quite frustrated. >> They don't quite frustrated. >> Northwest is like passive. Super >> Northwest is like passive. Super >> Northwest is like passive. Super passive. passive. passive. >> Yep. That's right. Yep. >> Yep. That's right. Yep. >> Yep. That's right. Yep. >> Ah, okay. That Yes. Yeah. I stop of you >> Ah, okay. That Yes. Yeah. I stop of you >> Ah, okay. That Yes. Yeah. I stop of you go. No, you go. No, you go. go. No, you go. No, you go. go. No, you go. No, you go. >> No, you go. No, you go. >> No, you go. No, you go. >> No, you go. No, you go. >> No, you go. I'll wait. You go. >> No, you go. I'll wait. You go. >> No, you go. I'll wait. You go. >> I'll wait. No, you go. The only place >> I'll wait. No, you go. The only place >> I'll wait. No, you go. The only place that The only place someone from the that The only place someone from the that The only place someone from the Northwest rages is from behind a Northwest rages is from behind a Northwest rages is from behind a keyboard. keyboard. keyboard. >> Uhuh. >> Uhuh. >> Uhuh. >> That's it, though. >> That's it, though. >> That's it, though. >> I tax too high. >> Dang you. Why is the gasoline $5 a >> Dang you. Why is the gasoline $5 a gallon? gallon? gallon? >> It is super expensive gas. I mean, that >> It is super expensive gas. I mean, that >> It is super expensive gas. I mean, that >> it sure is. It sure is.

  10. >> it sure is. It sure is. >> it sure is. It sure is. >> Stop complaining. >> Stop complaining. >> Stop complaining. >> So, yeah. The electricity is cheap. The >> So, yeah. The electricity is cheap. The >> So, yeah. The electricity is cheap. The gas is expensive, but electricity is gas is expensive, but electricity is gas is expensive, but electricity is cheap. So, cheap. So, cheap. So, >> well, you have no air conditioning. So, >> well, you have no air conditioning. So, >> well, you have no air conditioning. So, >> it's a hydro wonderland in Washington. >> it's a hydro wonderland in Washington. >> it's a hydro wonderland in Washington. >> Wonderland. >> Wonderland. >> Wonderland. >> Yeah. >> Yeah. >> Yeah. >> Yep. >> Yep. >> Yep. >> That's why people like to build their >> That's why people like to build their >> That's why people like to build their data centers up there. data centers up there. data centers up there. >> Yeah. >> Yeah. >> Yeah. >> Yeah. At this point, we have to probably >> Yeah. At this point, we have to probably >> Yeah. At this point, we have to probably inform our audience inform our audience inform our audience remaining audience. remaining audience. remaining audience. >> Yeah. >> Yeah. >> Yeah. >> This is IoT coffee. >> This is IoT coffee. >> This is IoT coffee. >> Both of them. >> Both of them. >> Both of them. >> Most of them. >> Most of them. >> Most of them. Oh my god. Oh my god. Oh my god. >> Uh, take us seriously at your own peril. >> Uh, take us seriously at your own peril. >> Uh, take us seriously at your own peril. >> Um, we're only here to have fun. So, you >> Um, we're only here to have fun. So, you >> Um, we're only here to have fun. So, you know, if you're doing anything serious, know, if you're doing anything serious, know, if you're doing anything serious, making any serious decisions based off making any serious decisions based off making any serious decisions based off based off of anything that we are based off of anything that we are based off of anything that we are sharing here, um, you know, that's your sharing here, um, you know, that's your sharing here, um, you know, that's your own fault. So, own fault. So, own fault. So, >> terrible mistake. >> terrible mistake. >> terrible mistake. >> We take full liability. In fact, we >> We take full liability. In fact, we >> We take full liability. In fact, we encourage people to take out full encourage people to take out full encourage people to take out full insurance policy when they listen to our insurance policy when they listen to our insurance policy when they listen to our show. So, but we nonetheless appreciate show. So, but we nonetheless appreciate show. So, but we nonetheless appreciate your listenership as well as your your listenership as well as your your listenership as well as your viewership. So, viewership. So, viewership. So, >> yeah.

  11. >> yeah. >> yeah. >> Yeah. And so, we have Rob >> Yeah. And so, we have Rob >> Yeah. And so, we have Rob obviously driving and it's also obvious obviously driving and it's also obvious obviously driving and it's also obvious you do don't have an autonomous vehicle you do don't have an autonomous vehicle you do don't have an autonomous vehicle >> especially. >> especially. >> especially. >> Yeah. Yeah, >> Yeah. Yeah, >> Yeah. Yeah, >> he's definitely not aimous. Is it an EV >> he's definitely not aimous. Is it an EV >> he's definitely not aimous. Is it an EV at least or is it This is old combustion at least or is it This is old combustion at least or is it This is old combustion stuff. stuff. stuff. >> It's all combustion >> It's all combustion >> It's all combustion gas prices. gas prices. gas prices. >> As soon as I get to SoCal, I'm going to >> As soon as I get to SoCal, I'm going to >> As soon as I get to SoCal, I'm going to take it to those the West Coast guy. take it to those the West Coast guy. take it to those the West Coast guy. What are those guy? Remember that show What are those guy? Remember that show What are those guy? Remember that show where they modify all the cars? where they modify all the cars? where they modify all the cars? >> Yes. >> Yes. >> Yes. >> Hit my ride. >> Hit my ride. >> Hit my ride. >> Hit my ride. Oh my god. >> Hit my ride. Oh my god. >> Hit my ride. Oh my god. >> Yeah. West Coast Auto guys. >> Yeah. West Coast Auto guys. >> Yeah. West Coast Auto guys. >> Customs. Pounce Customs. Yes. And >> Customs. Pounce Customs. Yes. And >> Customs. Pounce Customs. Yes. And they're going to turn my car into they're going to turn my car into they're going to turn my car into autonomous, so I'll be able to sleep. autonomous, so I'll be able to sleep. autonomous, so I'll be able to sleep. So, that's good. Yeah. That So, that's good. Yeah. That So, that's good. Yeah. That >> Yeah. And get some story about >> Yeah. And get some story about >> Yeah. And get some story about >> I did a full self-driving trip, a >> I did a full self-driving trip, a >> I did a full self-driving trip, a friend, some friends. We went from friend, some friends. We went from friend, some friends. We went from Seattle or Belleview, I should say, down Seattle or Belleview, I should say, down Seattle or Belleview, I should say, down to Beaverton, Oregon. It was like three to Beaverton, Oregon. It was like three to Beaverton, Oregon. It was like three or four hour trip.

  12. or four hour trip. or four hour trip. >> Oh, wow. Had a Tesla um I think it was a >> Oh, wow. Had a Tesla um I think it was a >> Oh, wow. Had a Tesla um I think it was a Model Y, so it was a nice one. Model Y, so it was a nice one. Model Y, so it was a nice one. >> And he's all into the full self-driving. >> And he's all into the full self-driving. >> And he's all into the full self-driving. He's like, "Yeah, I'm going to do full He's like, "Yeah, I'm going to do full He's like, "Yeah, I'm going to do full self-driving the whole way." And I was self-driving the whole way." And I was self-driving the whole way." And I was like, like, like, And um and it worked great. And the And um and it worked great. And the And um and it worked great. And the funny thing is we were driving around funny thing is we were driving around funny thing is we were driving around Beaverton, full self-driving mode. We Beaverton, full self-driving mode. We Beaverton, full self-driving mode. We come up to this intersection. This is a come up to this intersection. This is a come up to this intersection. This is a stoplight and the Tesla's like there and stoplight and the Tesla's like there and stoplight and the Tesla's like there and it kind of it kind of it kind of >> it moves forward a little bit and then >> it moves forward a little bit and then >> it moves forward a little bit and then it just goes right through the red it just goes right through the red it just goes right through the red light. light. light. >> Yeah. And I think what it was doing, it >> Yeah. And I think what it was doing, it >> Yeah. And I think what it was doing, it was looking for traffic. There was no was looking for traffic. There was no was looking for traffic. There was no traffic. And so it just went and we were traffic. And so it just went and we were traffic. And so it just went and we were all looking at each other like, "Did we all looking at each other like, "Did we all looking at each other like, "Did we just go through a red light?" Like that. just go through a red light?" Like that. just go through a red light?" Like that. >> It just it it groed you guys. It was >> It just it it groed you guys. It was >> It just it it groed you guys. It was like, "Hey, you know, nobody's around. like, "Hey, you know, nobody's around. like, "Hey, you know, nobody's around. No cops around. I can just go through No cops around. I can just go through No cops around. I can just go through this red light. Oh, you can just go for this red light. Oh, you can just go for this red light. Oh, you can just go for it." Yeah. it." Yeah. it." Yeah. >> Other than that, it worked great. So, >> Other than that, it worked great. So, >> Other than that, it worked great. So, uh, that was pretty cool. uh, that was pretty cool. uh, that was pretty cool. >> Oh my god. >> Oh my god. >> Oh my god. >> Pretty cool. >> Pretty cool. >> Pretty cool. >> So, >> So, >> So, >> you are the beta tester. >> you are the beta tester. >> you are the beta tester. >> That was definitely a beta. That was >> That was definitely a beta. That was >> That was definitely a beta. That was file a bug on that one. file a bug on that one. file a bug on that one. >> File a bug on that one. Exactly. >> File a bug on that one. Exactly. >> File a bug on that one. Exactly. >> Pro show.

  13. >> Pro show. >> Pro show. >> I'm actually in Massachusetts here. I've >> I'm actually in Massachusetts here. I've >> I'm actually in Massachusetts here. I've been here for a few weeks and I have a been here for a few weeks and I have a been here for a few weeks and I have a Chevy Equinox EV. Chevy Equinox EV. Chevy Equinox EV. >> Um, I haven't bought gas in a few weeks. >> Um, I haven't bought gas in a few weeks. >> Um, I haven't bought gas in a few weeks. I went up to Maine for a few days. Came I went up to Maine for a few days. Came I went up to Maine for a few days. Came back. I found a a level three charger back. I found a a level three charger back. I found a a level three charger kind of on the kind of on the kind of on the >> near a little coffee shop and took me >> near a little coffee shop and took me >> near a little coffee shop and took me like 15 20 minutes to fill up and uh it like 15 20 minutes to fill up and uh it like 15 20 minutes to fill up and uh it was great. So I'm totally sold. I think was great. So I'm totally sold. I think was great. So I'm totally sold. I think the infrastructure at least and in the infrastructure at least and in the infrastructure at least and in Massachusetts it looks like the Massachusetts it looks like the Massachusetts it looks like the infrastructure is great for for charging infrastructure is great for for charging infrastructure is great for for charging and stuff from Massachusett. and stuff from Massachusett. and stuff from Massachusett. >> Yeah, it was really cool. And um so >> Yeah, it was really cool. And um so >> Yeah, it was really cool. And um so yeah, level three chargers are where yeah, level three chargers are where yeah, level three chargers are where it's at. I'm a big fan. And uh some of it's at. I'm a big fan. And uh some of it's at. I'm a big fan. And uh some of them I think the one I was at yesterday them I think the one I was at yesterday them I think the one I was at yesterday was like 120 kilowatts per hour or was like 120 kilowatts per hour or was like 120 kilowatts per hour or something. I mean it was something. I mean it was something. I mean it was >> wow >> wow >> wow >> chugging chugging. So for those don't >> chugging chugging. So for those don't >> chugging chugging. So for those don't know at level two charge is probably know at level two charge is probably know at level two charge is probably about 6 to 10 kilowatts per hour. about 6 to 10 kilowatts per hour. about 6 to 10 kilowatts per hour. >> Okay. >> Okay. >> Okay. >> That's your house. That's like a 50 amp. >> That's your house. That's like a 50 amp. >> That's your house. That's like a 50 amp. But if you get into level three But if you get into level three But if you get into level three charging, which is DC charging, which is DC charging, which is DC 100 200 amp circuit, you're up to 100 200 amp circuit, you're up to 100 200 amp circuit, you're up to >> I think they said it could go to 350.

  14. >> I think they said it could go to 350. >> I think they said it could go to 350. >> 350. >> 350. >> 350. >> That's what it said on the thing. It >> That's what it said on the thing. It >> That's what it said on the thing. It said up to 350 kW per hour. I don't know said up to 350 kW per hour. I don't know said up to 350 kW per hour. I don't know what cars are out there that that can what cars are out there that that can what cars are out there that that can get, get, get, >> but now there's these 800vt platforms as >> but now there's these 800vt platforms as >> but now there's these 800vt platforms as opposed to 400 volt. That's the next opposed to 400 volt. That's the next opposed to 400 volt. That's the next thing. So I think in the next couple of thing. So I think in the next couple of thing. So I think in the next couple of years like this stuff is like years like this stuff is like years like this stuff is like >> it's just going to be fantastic. I've >> it's just going to be fantastic. I've >> it's just going to be fantastic. I've been told been told been told >> fast charging >> fast charging >> fast charging >> fast charging is like >> fast charging is like >> fast charging is like >> such a winner. Such a winner. And this >> such a winner. Such a winner. And this >> such a winner. Such a winner. And this was at a place that had it sold gas. It was at a place that had it sold gas. It was at a place that had it sold gas. It had a row of Tesla and and other kind of had a row of Tesla and and other kind of had a row of Tesla and and other kind of third party fast chargers. And so you third party fast chargers. And so you third party fast chargers. And so you get your gas, you get your chips, you get your gas, you get your chips, you get your gas, you get your chips, you get your charging, you know. get your charging, you know. get your charging, you know. >> Yeah. Yeah. >> Yeah. Yeah. >> Yeah. Yeah. >> You're probably getting hot you're >> You're probably getting hot you're >> You're probably getting hot you're probably getting hot chips. probably getting hot chips. probably getting hot chips. >> Hot chips. That's right. Hot chips. >> Hot chips. That's right. Hot chips. >> Hot chips. That's right. Hot chips. >> Yeah. >> Yeah. >> Yeah. >> Hot chips. >> Hot chips. >> Hot chips. >> Yeah. >> Yeah. >> Yeah. I was totally totally sold on it. So now I was totally totally sold on it. So now I was totally totally sold on it. So now the next thing is just getting more FSD, the next thing is just getting more FSD, the next thing is just getting more FSD, more full stealth driving capabilities more full stealth driving capabilities more full stealth driving capabilities in there in there in there >> for the but I did a 4-hour road trip >> for the but I did a 4-hour road trip >> for the but I did a 4-hour road trip yesterday from Maine. It was fantastic. yesterday from Maine. It was fantastic. yesterday from Maine. It was fantastic. So So So >> that's awesome. >> that's awesome. >> that's awesome. >> Through Boston came out. >> Through Boston came out. >> Through Boston came out. >> So the Equinox did a good job.

  15. >> So the Equinox did a good job. >> So the Equinox did a good job. >> It was awesome. Very nice. >> It was awesome. Very nice. >> It was awesome. Very nice. >> Apparently not that expensive either, so >> Apparently not that expensive either, so >> Apparently not that expensive either, so I rented it. The other hack is you go to I rented it. The other hack is you go to I rented it. The other hack is you go to an Avis or something and you you reserve an Avis or something and you you reserve an Avis or something and you you reserve a regular car and you go in there and a regular car and you go in there and a regular car and you go in there and you ask for any EVs that they have and you ask for any EVs that they have and you ask for any EVs that they have and they always have like some premium EVs they always have like some premium EVs they always have like some premium EVs that no one is renting, right? Cuz that no one is renting, right? Cuz that no one is renting, right? Cuz >> people don't know how to rent an EV or >> people don't know how to rent an EV or >> people don't know how to rent an EV or know what to do with that. So you always know what to do with that. So you always know what to do with that. So you always get like the super double upgrade. get like the super double upgrade. get like the super double upgrade. >> Oh, okay. Are you sure you want to tell >> Oh, okay. Are you sure you want to tell >> Oh, okay. Are you sure you want to tell people that? people that? people that? >> Yes. >> Yes. >> Yes. >> Yeah. Both both of our listeners >> Yeah. Both both of our listeners >> Yeah. Both both of our listeners >> both of them already know anybody who >> both of them already know anybody who >> both of them already know anybody who experienced travel through co and stuff experienced travel through co and stuff experienced travel through co and stuff and rented normal cars and they they and rented normal cars and they they and rented normal cars and they they were trying to force EVs on you were trying to force EVs on you were trying to force EVs on you >> and 100,000 Teslas or something. Yeah, it 100,000 Teslas or something. Yeah, it hurts much and and it hurts much and and it hurts much and and it >> and then it turns out the renters were >> and then it turns out the renters were >> and then it turns out the renters were afraid or they just didn't understand or afraid or they just didn't understand or afraid or they just didn't understand or they didn't know what to do and so they they didn't know what to do and so they they didn't know what to do and so they would be like I don't think I want that. would be like I don't think I want that. would be like I don't think I want that. I don't know how to do this. I don't I don't know how to do this. I don't I don't know how to do this. I don't know where to find chargers, you know, know where to find chargers, you know, know where to find chargers, you know, because it was new for because it was new for because it was new for >> and um yeah, it didn't work out too well >> and um yeah, it didn't work out too well >> and um yeah, it didn't work out too well for them. Hurts for them. Hurts for them. Hurts >> cuz they spent a lot of money on the >> cuz they spent a lot of money on the >> cuz they spent a lot of money on the future future future >> of driving. Sometimes people are early.

  16. >> of driving. Sometimes people are early. >> of driving. Sometimes people are early. Sometimes the future actually does Sometimes the future actually does Sometimes the future actually does happen. You're just a little early. happen. You're just a little early. happen. You're just a little early. Yeah. Yeah. Well, the future Yeah. Yeah. Well, the future Yeah. Yeah. Well, the future >> evenly distributed >> evenly distributed >> evenly distributed >> future will happen you know the thing is >> future will happen you know the thing is >> future will happen you know the thing is does it happen in the way that like you does it happen in the way that like you does it happen in the way that like you said um uh timing is everything right said um uh timing is everything right said um uh timing is everything right and does it happen the way that people and does it happen the way that people and does it happen the way that people are claiming it will happen in the now are claiming it will happen in the now are claiming it will happen in the now which is wrong which is wrong which is wrong >> right and >> right and >> right and >> for our our two our two audience members >> for our our two our two audience members >> for our our two our two audience members you know we all went through the.com you know we all went through the.com you know we all went through the.com thing and then they said we were early thing and then they said we were early thing and then they said we were early and there was the.com bus and you and there was the.com bus and you and there was the.com bus and you thought it was a failure But in the end thought it was a failure But in the end thought it was a failure But in the end all those things ended up working out. all those things ended up working out. all those things ended up working out. They just They just They just >> 20 years >> 20 years >> 20 years >> it just No, no, you know by mid 2000s >> it just No, no, you know by mid 2000s >> it just No, no, you know by mid 2000s things chilled out and got it turns out. things chilled out and got it turns out. things chilled out and got it turns out. Yeah, you were right. It was just I Yeah, you were right. It was just I Yeah, you were right. It was just I don't know what did they say it was don't know what did they say it was don't know what did they say it was Warren Buffett um in the late 90s with the do craze. um in the late 90s with the do craze. The internet economy. Yes. M yeah.

  17. The internet economy. Yes. M yeah. The internet economy. Yes. M yeah. Anyway, Anyway, Anyway, >> yeah, now they just call it the economy. >> yeah, now they just call it the economy. >> yeah, now they just call it the economy. It's not the internet economy anymore. It's not the internet economy anymore. It's not the internet economy anymore. >> Yeah, it's just the economy. You're >> Yeah, it's just the economy. You're >> Yeah, it's just the economy. You're right. right. right. >> Well, we have to >> Well, we have to >> Well, we have to >> I remember doing Go ahead. >> I remember doing Go ahead. >> I remember doing Go ahead. >> No, no, no. We We have to just remember >> No, no, no. We We have to just remember >> No, no, no. We We have to just remember that there were two aspects or actually that there were two aspects or actually that there were two aspects or actually the whole dot the whole dot the whole dot um boom and bust um boom and bust um boom and bust also had an internet boom and bust, also had an internet boom and bust, also had an internet boom and bust, right? And even though.com and internet right? And even though.com and internet right? And even though.com and internet you know era are kind of clumped you know era are kind of clumped you know era are kind of clumped together there was a dependency there's together there was a dependency there's together there was a dependency there's a software and a hardware infrastructure a software and a hardware infrastructure a software and a hardware infrastructure dependency they built out a lot of dependency they built out a lot of dependency they built out a lot of infrastructure right tons of it on the infrastructure right tons of it on the infrastructure right tons of it on the software level there's a bunch of junk software level there's a bunch of junk software level there's a bunch of junk right I mean you know as you know even right I mean you know as you know even right I mean you know as you know even e-commerce back then was really weak e-commerce back then was really weak e-commerce back then was really weak right we had like pets.com right we had like pets.com right we had like pets.com uh we had like um you know van and you uh we had like um you know van and you uh we had like um you know van and you know web van all kinds of stuff know web van all kinds of stuff know web van all kinds of stuff >> you know yeah the business models were >> you know yeah the business models were >> you know yeah the business models were not flushed out there were a lot of not flushed out there were a lot of not flushed out there were a lot of issues at the software and you know the issues at the software and you know the issues at the software and you know the business application level uh and then business application level uh and then business application level uh and then there was overspending on infrastructure there was overspending on infrastructure there was overspending on infrastructure and you know what that infrastructure and you know what that infrastructure and you know what that infrastructure sat there uh and was well it was sold at sat there uh and was well it was sold at sat there uh and was well it was sold at pennies at a dollar pennies at a dollar pennies at a dollar >> right and then it sat there >> right and then it sat there >> right and then it sat there >> mhm right? All this capacity and over >> mhm right? All this capacity and over >> mhm right? All this capacity and over time it got consumed time it got consumed time it got consumed >> but that infrastructure bubble is >> but that infrastructure bubble is >> but that infrastructure bubble is reflected in Cisco at the time,

  18. reflected in Cisco at the time, reflected in Cisco at the time, >> right? They were the most valuable >> right? They were the most valuable >> right? They were the most valuable company in the world for a while and company in the world for a while and company in the world for a while and then they became they crashed really then they became they crashed really then they became they crashed really hard, hard, hard, >> right? >> right? >> right? >> Really hard. And nobody at the time >> Really hard. And nobody at the time >> Really hard. And nobody at the time thought that they would crash that hard. thought that they would crash that hard. thought that they would crash that hard. And so that that's the the problem right And so that that's the the problem right And so that that's the the problem right now is with AI we have the same problem. now is with AI we have the same problem. now is with AI we have the same problem. So you have to look at it in not just as So you have to look at it in not just as So you have to look at it in not just as a big clump homogeneous clump. There's a big clump homogeneous clump. There's a big clump homogeneous clump. There's an infrastructure piece and then there's an infrastructure piece and then there's an infrastructure piece and then there's the application or AI layer of the the application or AI layer of the the application or AI layer of the conversation. This part is is actually conversation. This part is is actually conversation. This part is is actually sucking and looks very much like right sucking and looks very much like right sucking and looks very much like right >> the software. >> the software. >> the software. >> Yeah. The software part. The >> Yeah. The software part. The >> Yeah. The software part. The infrastructure stuff looks exactly like infrastructure stuff looks exactly like infrastructure stuff looks exactly like the infrastructure stuff that was the infrastructure stuff that was the infrastructure stuff that was happening during the internet, happening during the internet, happening during the internet, >> you know. >> you know. >> you know. >> Well, it's like the all just even like >> Well, it's like the all just even like >> Well, it's like the all just even like uh telco, right? There's always an uh telco, right? There's always an uh telco, right? There's always an infrastructure build out. There's a huge infrastructure build out. There's a huge infrastructure build out. There's a huge capex. capex. capex. >> Yeah. >> Yeah. >> Yeah. >> It's it's underutilized.

  19. >> It's it's underutilized. >> It's it's underutilized. There's the leaders in that There's the leaders in that There's the leaders in that infrastructure take a bath. infrastructure take a bath. infrastructure take a bath. >> I mean, in the long run, it's needed. >> I mean, in the long run, it's needed. >> I mean, in the long run, it's needed. But, you know, think about.com era. How But, you know, think about.com era. How But, you know, think about.com era. How sucky were the browsers back then, you sucky were the browsers back then, you sucky were the browsers back then, you know? Oh yeah, know? Oh yeah, know? Oh yeah, >> controls. I mean it was a rough >> controls. I mean it was a rough >> controls. I mean it was a rough prehistoric web experience. prehistoric web experience. prehistoric web experience. >> Oh yeah. They didn't even have web >> Oh yeah. They didn't even have web >> Oh yeah. They didn't even have web services. The idea of web services services. The idea of web services services. The idea of web services personalization was really clunky. personalization was really clunky. personalization was really clunky. >> You know, do you guys remember >> You know, do you guys remember >> You know, do you guys remember Broadvision ATG? Broadvision ATG? Broadvision ATG? >> Yes. >> Yes. >> Yes. >> Right. You know, Broadvision was kind of >> Right. You know, Broadvision was kind of >> Right. You know, Broadvision was kind of like Broadcom. They were like, you know, like Broadcom. They were like, you know, like Broadcom. They were like, you know, they were the pioneers of they were the pioneers of they were the pioneers of personalization. They were the first personalization. They were the first personalization. They were the first company to come up with the quote company to come up with the quote company to come up with the quote unquote platform for personalizing a a a unquote platform for personalizing a a a unquote platform for personalizing a a a website, right? website, right? website, right? So the bits and pieces weren't there. So the bits and pieces weren't there. So the bits and pieces weren't there. >> Yeah. >> Yeah. >> Yeah. >> And very nent from a technical >> And very nent from a technical >> And very nent from a technical perspective. So you had as we went into perspective. So you had as we went into perspective. So you had as we went into the dock the dock the dock late 90s there you had a lot of people late 90s there you had a lot of people late 90s there you had a lot of people who were using Windows NT4 who were using Windows NT4 who were using Windows NT4 as their server and they used IIS.

  20. as their server and they used IIS. as their server and they used IIS. >> Yeah. And many many of them I remember >> Yeah. And many many of them I remember >> Yeah. And many many of them I remember um jewelry online jewelry company they um jewelry online jewelry company they um jewelry online jewelry company they had to have a local agent that would had to have a local agent that would had to have a local agent that would reboot the server at midnight every reboot the server at midnight every reboot the server at midnight every night. >> Yeah. Well, that was the uh uh Yeah. >> Yeah. Well, that was the uh uh Yeah. Rebooting servers. Rebooting servers. Rebooting servers. >> I remember >> I remember >> I remember >> everything needed to be rebooted every >> everything needed to be rebooted every >> everything needed to be rebooted every day. That's the thing. Everything. day. That's the thing. Everything. day. That's the thing. Everything. >> Yeah, >> Yeah, >> Yeah, they had to be rebooted. Yeah. they had to be rebooted. Yeah. they had to be rebooted. Yeah. >> Yeah. >> Yeah. >> Yeah. >> Yeah. Totally. It was put your phone >> Yeah. Totally. It was put your phone >> Yeah. Totally. It was put your phone every night. every night. every night. >> I remember NT4 was >> I remember NT4 was >> I remember NT4 was NT4 was totally destabilized compared to NT4 was totally destabilized compared to NT4 was totally destabilized compared to 351. And the reason is cuz they put to 351. And the reason is cuz they put to 351. And the reason is cuz they put to try to get some more speed in the UI and try to get some more speed in the UI and try to get some more speed in the UI and the graphics engine of NT. They put the the graphics engine of NT. They put the the graphics engine of NT. They put the graphics stuff in ring zero of the CPU graphics stuff in ring zero of the CPU graphics stuff in ring zero of the CPU which is could be bad. Guju talking which is could be bad. Guju talking which is could be bad. Guju talking about getting your blue screen to death, about getting your blue screen to death, about getting your blue screen to death, right? And so, no bueno. And so, I right? And so, no bueno. And so, I right? And so, no bueno. And so, I remember to keep to stabilize NT4 boxes, remember to keep to stabilize NT4 boxes, remember to keep to stabilize NT4 boxes, I would just not install any graphics I would just not install any graphics I would just not install any graphics drivers and use the default G uh VGA drivers and use the default G uh VGA drivers and use the default G uh VGA driver that came with the OS because the driver that came with the OS because the driver that came with the OS because the the graphics drivers were the most the graphics drivers were the most the graphics drivers were the most destabilizing thing running in ring destabilizing thing running in ring destabilizing thing running in ring zero. And if thing if you have a fault zero. And if thing if you have a fault zero. And if thing if you have a fault in ring zero, the whole server goes in ring zero, the whole server goes in ring zero, the whole server goes down. Right.

  21. down. Right. down. Right. >> Right. And all the graphics drivers were >> Right. And all the graphics drivers were >> Right. And all the graphics drivers were were, you know, third party drivers that were, you know, third party drivers that were, you know, third party drivers that were hacked to beat the benchmarks. And were hacked to beat the benchmarks. And were hacked to beat the benchmarks. And so they so they so they >> Oh my god, sounds >> Oh my god, sounds >> Oh my god, sounds >> wildly wildly unstable. Wildly >> wildly wildly unstable. Wildly >> wildly wildly unstable. Wildly >> unable to unstable. Um, >> unable to unstable. Um, >> unable to unstable. Um, >> so it wasn't it wasn't until Windows >> so it wasn't it wasn't until Windows >> so it wasn't it wasn't until Windows Server 2000 came out that all that Server 2000 came out that all that Server 2000 came out that all that changed and Microsoft had to the changed and Microsoft had to the changed and Microsoft had to the certification program and for all the certification program and for all the certification program and for all the drivers and everything cuz it was giving drivers and everything cuz it was giving drivers and everything cuz it was giving Microsoft a bad name cuz the third party Microsoft a bad name cuz the third party Microsoft a bad name cuz the third party graphics drivers were taking a toll on graphics drivers were taking a toll on graphics drivers were taking a toll on the servers and on work stations too the servers and on work stations too the servers and on work stations too that were blue screen all the time. that were blue screen all the time. that were blue screen all the time. >> Oh my god, man. >> Oh my god, man. >> Oh my god, man. >> So all but then there was What did you spot a deer or a What did you spot a deer or a >> No, I did. I spotted a deer. I slow down >> No, I did. I spotted a deer. I slow down >> No, I did. I spotted a deer. I slow down here. Um I was going to say on the other here. Um I was going to say on the other here. Um I was going to say on the other side though side though side though the other part of the dot thing was the other part of the dot thing was the other part of the dot thing was highly financed people in the valley.

  22. highly financed people in the valley. highly financed people in the valley. Ah, Ah, Ah, >> and their VCs like Kleiner Perkins and >> and their VCs like Kleiner Perkins and >> and their VCs like Kleiner Perkins and so forth were they would raise money and so forth were they would raise money and so forth were they would raise money and then they'd say, "Now I need you to run then they'd say, "Now I need you to run then they'd say, "Now I need you to run down the street to Sun Microsystems down the street to Sun Microsystems down the street to Sun Microsystems and buy servers from Sun cuz they're the and buy servers from Sun cuz they're the and buy servers from Sun cuz they're the best." best." best." >> Yeah. >> Yeah. >> Yeah. >> E10 E10K or something like that. >> E10 E10K or something like that. >> E10 E10K or something like that. Horribly expensive servers. Just Horribly expensive servers. Just Horribly expensive servers. Just insanely expensive. But that was the the insanely expensive. But that was the the insanely expensive. But that was the the thinking. And so that was going on. And thinking. And so that was going on. And thinking. And so that was going on. And then there was this little engine that then there was this little engine that then there was this little engine that could called Linux. Um, and somewhere could called Linux. Um, and somewhere could called Linux. Um, and somewhere along the way, people realize that, oh along the way, people realize that, oh along the way, people realize that, oh wow, these Linux boxes to run my web wow, these Linux boxes to run my web wow, these Linux boxes to run my web server seem to work. Okay, I can't tell server seem to work. Okay, I can't tell server seem to work. Okay, I can't tell the difference between the sun box and a the difference between the sun box and a the difference between the sun box and a cheap Linux box. Um, which led to that cheap Linux box. Um, which led to that cheap Linux box. Um, which led to that sad sad uh keynote address from Scott sad sad uh keynote address from Scott sad sad uh keynote address from Scott McNeely. I saw his last Java 1 McNeely. I saw his last Java 1 McNeely. I saw his last Java 1 conference after the dot crash. It conference after the dot crash. It conference after the dot crash. It happened and he made the comment. He happened and he made the comment. He happened and he made the comment. He goes, "You know what? Sometimes good goes, "You know what? Sometimes good goes, "You know what? Sometimes good enough is good enough." And what he enough is good enough." And what he enough is good enough." And what he meant by that, what he meant by that was meant by that, what he meant by that was meant by that, what he meant by that was it turns out the cheap Linux boxes it turns out the cheap Linux boxes it turns out the cheap Linux boxes running on just commodity PC hardware running on just commodity PC hardware running on just commodity PC hardware were good enough for the internet.

  23. were good enough for the internet. were good enough for the internet. >> Yeah. >> Yeah. >> Yeah. >> And and you didn't need the expensive >> And and you didn't need the expensive >> And and you didn't need the expensive sun gear. sun gear. sun gear. >> No. >> No. >> No. >> Yeah. You That and that that's >> Yeah. You That and that that's >> Yeah. You That and that that's interesting because if you know when you interesting because if you know when you interesting because if you know when you look at AI and its value, um, good look at AI and its value, um, good look at AI and its value, um, good enough is good enough. You know, I just enough is good enough. You know, I just enough is good enough. You know, I just responded to this guy that was saying, responded to this guy that was saying, responded to this guy that was saying, "Well, you know, in order to have, you "Well, you know, in order to have, you "Well, you know, in order to have, you know, generate poems or silly pictures know, generate poems or silly pictures know, generate poems or silly pictures with a generative AI tool, it needs to with a generative AI tool, it needs to with a generative AI tool, it needs to be reliable." I said, "Absolutely not. be reliable." I said, "Absolutely not. be reliable." I said, "Absolutely not. It just has to be good enough." There's It just has to be good enough." There's It just has to be good enough." There's >> Yes. you know, and so where maybe some >> Yes. you know, and so where maybe some >> Yes. you know, and so where maybe some of the naysayers are going to overshoot of the naysayers are going to overshoot of the naysayers are going to overshoot is when you know the the is when you know the the is when you know the the you know the downside of the hype is uh you know the downside of the hype is uh you know the downside of the hype is uh when you don't consider the good enough, when you don't consider the good enough, when you don't consider the good enough, right? That there is value especially in right? That there is value especially in right? That there is value especially in entertainment, cyber crim criminality entertainment, cyber crim criminality entertainment, cyber crim criminality enabling that kind of stuff or just you enabling that kind of stuff or just you enabling that kind of stuff or just you know entertainment that good enough is know entertainment that good enough is know entertainment that good enough is good enough. I mean, the perfect proof good enough. I mean, the perfect proof good enough. I mean, the perfect proof is YouTube, right? And Tik Tok. None of is YouTube, right? And Tik Tok. None of is YouTube, right? And Tik Tok. None of that stuff is like prolevel stuff. It's, that stuff is like prolevel stuff. It's, that stuff is like prolevel stuff. It's, you know, it's just good enough. It's you know, it's just good enough. It's you know, it's just good enough. It's entertaining. And guess what? The entertaining. And guess what? The entertaining. And guess what? The technology gets traction for that technology gets traction for that technology gets traction for that purpose. Um, and you know, same goes purpose. Um, and you know, same goes purpose. Um, and you know, same goes with hardware, right? Eventually, with hardware, right? Eventually, with hardware, right? Eventually, nobody's going to want to pay the Nvidia nobody's going to want to pay the Nvidia nobody's going to want to pay the Nvidia premium. They want something that's good premium. They want something that's good premium. They want something that's good enough. It can run that model. It can um enough. It can run that model. It can um enough. It can run that model. It can um do XYZ. Yes, it might be a bit more

  24. do XYZ. Yes, it might be a bit more do XYZ. Yes, it might be a bit more expensive per token, but the folks at expensive per token, but the folks at expensive per token, but the folks at Edge AI are going to make it more Edge AI are going to make it more Edge AI are going to make it more economical, right? You guys are going to economical, right? You guys are going to economical, right? You guys are going to actually make FP4 actually make FP4 actually make FP4 nonbullshit >> cuz FP4 >> cuz FP4 >> FP floating point 4. >> FP floating point 4. >> FP floating point 4. >> Oh, better than floating point three. >> Oh, better than floating point three. >> Oh, better than floating point three. Well, you know, you know, that that's Well, you know, you know, that that's Well, you know, you know, that that's like the big Nvidia talking point, like the big Nvidia talking point, like the big Nvidia talking point, right? When you look at their scaling right? When you look at their scaling right? When you look at their scaling curves that look like they're going and curves that look like they're going and curves that look like they're going and when they say, "Hey, you know, we when they say, "Hey, you know, we when they say, "Hey, you know, we generation over generation we have times generation over generation we have times generation over generation we have times 30." Um, yeah, they got to 30 because 30." Um, yeah, they got to 30 because 30." Um, yeah, they got to 30 because they multiplied by four or 16 to get they multiplied by four or 16 to get they multiplied by four or 16 to get there based on data precision. But the there based on data precision. But the there based on data precision. But the thing is is one of the things that came thing is is one of the things that came thing is is one of the things that came out of hot chips was nobody talked about out of hot chips was nobody talked about out of hot chips was nobody talked about data precision this time even though data precision this time even though data precision this time even though it's like one of the most important it's like one of the most important it's like one of the most important scaling factors, right? And everyone's scaling factors, right? And everyone's scaling factors, right? And everyone's talking about how FP4 is just crap. So talking about how FP4 is just crap. So talking about how FP4 is just crap. So Nvidia came out with their own um uh you Nvidia came out with their own um uh you Nvidia came out with their own um uh you know own data type which is FP know own data type which is FP know own data type which is FP uh NVFP4.

  25. uh NVFP4. uh NVFP4. I thought they were going to talk a lot I thought they were going to talk a lot I thought they were going to talk a lot about it. they didn't which was a about it. they didn't which was a about it. they didn't which was a disappointment because it's essential disappointment because it's essential disappointment because it's essential otherwise that scaling factor is gone otherwise that scaling factor is gone otherwise that scaling factor is gone and the next generation is only going to and the next generation is only going to and the next generation is only going to get maybe two or three times uh more get maybe two or three times uh more get maybe two or three times uh more capable in terms of performance and capable in terms of performance and capable in terms of performance and efficiency right and all of a sudden efficiency right and all of a sudden efficiency right and all of a sudden this your scaling flattens out on the this your scaling flattens out on the this your scaling flattens out on the from the hardware perspective from the hardware perspective from the hardware perspective so um yeah it's important so um yeah it's important so um yeah it's important >> what was the hottest news and takeaway >> what was the hottest news and takeaway >> what was the hottest news and takeaway from your hot event at Stanford from your hot event at Stanford from your hot event at Stanford >> oh um everything is moving toward uh >> oh um everything is moving toward uh >> oh um everything is moving toward uh networking and trying to figure out how networking and trying to figure out how networking and trying to figure out how to squeeze out the next few um levels of to squeeze out the next few um levels of to squeeze out the next few um levels of scaling. Um so I think what we're going scaling. Um so I think what we're going scaling. Um so I think what we're going to see over the next year is that wall to see over the next year is that wall to see over the next year is that wall get hit really hard across the board. get hit really hard across the board. get hit really hard across the board. Whether it's cooling, whether it's like Whether it's cooling, whether it's like Whether it's cooling, whether it's like Moors law, advanced packaging, you know, Moors law, advanced packaging, you know, Moors law, advanced packaging, you know, thermals, power management, all the thermals, power management, all the thermals, power management, all the stuff. These the problem is is that when stuff. These the problem is is that when stuff. These the problem is is that when they came up with these uh the, you they came up with these uh the, you they came up with these uh the, you know, the latest series of AI know, the latest series of AI know, the latest series of AI supercomputing mach you know systems, supercomputing mach you know systems, supercomputing mach you know systems, they threw every technology they threw every technology they threw every technology available, available, available, a lot of them very mature at these a lot of them very mature at these a lot of them very mature at these systems, right? and these architectures systems, right? and these architectures systems, right? and these architectures to get them to scale brute force right to get them to scale brute force right to get them to scale brute force right now you're hitting the maturity walls of now you're hitting the maturity walls of now you're hitting the maturity walls of all these technologies I mean take you

  26. all these technologies I mean take you all these technologies I mean take you know water cooling for instance or know water cooling for instance or know water cooling for instance or liquid cooling that technology has been liquid cooling that technology has been liquid cooling that technology has been around for ever now you're already at around for ever now you're already at around for ever now you're already at the leading edge uh you're having the the leading edge uh you're having the the leading edge uh you're having the leading edge discussions and the leading edge discussions and the leading edge discussions and the benefits you'll get from the next benefits you'll get from the next benefits you'll get from the next generation of technology is going to generation of technology is going to generation of technology is going to diminish significantly right so one of diminish significantly right so one of diminish significantly right so one of the things that they're looking at are the things that they're looking at are the things that they're looking at are um optimizations with uh like for um optimizations with uh like for um optimizations with uh like for instance cold plates. This has nothing instance cold plates. This has nothing instance cold plates. This has nothing to do with the chip, right? This has to do with the chip, right? This has to do with the chip, right? This has everything to do with creating a cold everything to do with creating a cold everything to do with creating a cold plate with these channels, right, that plate with these channels, right, that plate with these channels, right, that are optimized for the thermal are optimized for the thermal are optimized for the thermal characteristics of the package or the characteristics of the package or the characteristics of the package or the chip that it's cooling or it's chip that it's cooling or it's chip that it's cooling or it's transferring heat from. transferring heat from. transferring heat from. >> Is that like >> Is that like >> Is that like >> it's like cold play? >> it's like cold play? >> it's like cold play? >> Yeah, >> Yeah, >> Yeah, cold play. Yeah. like um uh the BTS cold play. Yeah. like um uh the BTS cold play. Yeah. like um uh the BTS version of Cold Play. Yeah. Slightly version of Cold Play. Yeah. Slightly version of Cold Play. Yeah. Slightly enhanced like a little bit, enhanced like a little bit, enhanced like a little bit, >> you know. >> you know. >> you know. >> People like when they couldn't afford >> People like when they couldn't afford >> People like when they couldn't afford couldn't afford an oven or stove, they couldn't afford an oven or stove, they couldn't afford an oven or stove, they had a hot plate. But you're talking had a hot plate. But you're talking had a hot plate. But you're talking about a cold plate.

  27. about a cold plate. about a cold plate. >> Totally different. Totally different. >> Totally different. Totally different. >> Totally different. Totally different. >> Different than a hot plate. >> Different than a hot plate. >> Different than a hot plate. >> Yeah. Yeah. Yeah. >> Yeah. Yeah. Yeah. >> Yeah. Yeah. Yeah. >> I'll make >> I'll make >> I'll make >> Yeah. >> Yeah. >> Yeah. >> All right. That's good to know. >> All right. That's good to know. >> All right. That's good to know. >> Yeah. And and just so that everyone >> Yeah. And and just so that everyone >> Yeah. And and just so that everyone knows uh water cooled systems yeah they knows uh water cooled systems yeah they knows uh water cooled systems yeah they were already uh they were always uh were already uh they were always uh were already uh they were always uh recirculating the fluid right uh has recirculating the fluid right uh has recirculating the fluid right uh has nothing to do necessarily with water um nothing to do necessarily with water um nothing to do necessarily with water um when you look at cuz you know Rob you when you look at cuz you know Rob you when you look at cuz you know Rob you posted something about that recently posted something about that recently posted something about that recently right and there's some other analysts right and there's some other analysts right and there's some other analysts that have been you know talking about that have been you know talking about that have been you know talking about how these AI data centers don't consume how these AI data centers don't consume how these AI data centers don't consume any any any u water they actually So there's u water they actually So there's u water they actually So there's >> they do it's a it's a water war. >> they do it's a it's a water war. >> they do it's a it's a water war. >> Yeah. Yeah. Water, >> Yeah. Yeah. Water, >> Yeah. Yeah. Water, >> right? The particular analyst says, "No, >> right? The particular analyst says, "No, >> right? The particular analyst says, "No, no, no. We're not wasting water with a no, no. We're not wasting water with a no, no. We're not wasting water with a data center. The mainstream media data center. The mainstream media data center. The mainstream media telling you li." And I'm like, "I don't telling you li." And I'm like, "I don't telling you li." And I'm like, "I don't know. I think it might be using more know. I think it might be using more know. I think it might be using more water." I don't know. It's just me. I water." I don't know. It's just me. I water." I don't know. It's just me. I keep, you know, I I I asked Claude and keep, you know, I I I asked Claude and keep, you know, I I I asked Claude and it says it's using between five and 50 it says it's using between five and 50 it says it's using between five and 50 times more water. The the like the same times more water. The the like the same times more water. The the like the same unit of compute of a AI.

  28. unit of compute of a AI. unit of compute of a AI. >> Yeah. >> Yeah. >> Yeah. >> You know, unit of compute is using needs >> You know, unit of compute is using needs >> You know, unit of compute is using needs way more water cooling than a standard way more water cooling than a standard way more water cooling than a standard CPU compute. Yeah. CPU compute. Yeah. CPU compute. Yeah. >> Yeah. And you know, the rack cooling is >> Yeah. And you know, the rack cooling is >> Yeah. And you know, the rack cooling is just to get the heat out, right? just to get the heat out, right? just to get the heat out, right? Then you have to transfer the heat Then you have to transfer the heat Then you have to transfer the heat somewhere and then you know it's going somewhere and then you know it's going somewhere and then you know it's going to usually go through a cooler to bring to usually go through a cooler to bring to usually go through a cooler to bring the the the liquid temperature down so the the the liquid temperature down so the the the liquid temperature down so that it can be recirculated and then you that it can be recirculated and then you that it can be recirculated and then you know you have this continuous loop of know you have this continuous loop of know you have this continuous loop of cooling. Uh and the dynamics of that the cooling. Uh and the dynamics of that the cooling. Uh and the dynamics of that the nuances of actually engineering a system nuances of actually engineering a system nuances of actually engineering a system that does that well is like freaking that does that well is like freaking that does that well is like freaking ridiculous. But it's mature technology ridiculous. But it's mature technology ridiculous. But it's mature technology right? Um and you know obviously Google right? Um and you know obviously Google right? Um and you know obviously Google I mean here's one of the things that I mean here's one of the things that I mean here's one of the things that came out hot chips man Google all the came out hot chips man Google all the came out hot chips man Google all the hyperscalers have been working on this hyperscalers have been working on this hyperscalers have been working on this stuff for a long time this is not new stuff for a long time this is not new stuff for a long time this is not new for them right so these water these for them right so these water these for them right so these water these liquid cool systems liquid cool systems liquid cool systems you know now the improvements that you know now the improvements that you know now the improvements that they're trying to to you know make are they're trying to to you know make are they're trying to to you know make are are going to be much more incremental are going to be much more incremental are going to be much more incremental um in fact you might not even see uh too um in fact you might not even see uh too um in fact you might not even see uh too much benefit in terms of the system uh much benefit in terms of the system uh much benefit in terms of the system uh benefits, but you might see, you know, benefits, but you might see, you know, benefits, but you might see, you know, slight um slight um slight um reliability and maintenance um benefits, reliability and maintenance um benefits, reliability and maintenance um benefits, right? Cuz one of the problems with right? Cuz one of the problems with right? Cuz one of the problems with these these novel or you know I'm not these these novel or you know I'm not these these novel or you know I'm not going to call them novel these liquid

  29. going to call them novel these liquid going to call them novel these liquid cooling systems you get like cooling systems you get like cooling systems you get like growing in the fluids and then they growing in the fluids and then they growing in the fluids and then they block they can actually block um you the block they can actually block um you the block they can actually block um you the flow of um the coolant and next thing flow of um the coolant and next thing flow of um the coolant and next thing you know you have overheating uh you know you have overheating uh you know you have overheating uh elements in your trays as well as your elements in your trays as well as your elements in your trays as well as your racks. Then you have GPUs that fail and racks. Then you have GPUs that fail and racks. Then you have GPUs that fail and then all this crazy stuff, you know. then all this crazy stuff, you know. then all this crazy stuff, you know. >> Yeah. >> Yeah. >> Yeah. >> Pass me a tissue, Tito. >> Pass me a tissue, Tito. >> Pass me a tissue, Tito. >> Yeah. No, I mean, if you ever have a >> Yeah. No, I mean, if you ever have a >> Yeah. No, I mean, if you ever have a chance to go to Hot Chips, go because chance to go to Hot Chips, go because chance to go to Hot Chips, go because you really get the full view on how you really get the full view on how you really get the full view on how complex these systems are becoming. It's complex these systems are becoming. It's complex these systems are becoming. It's uneffing believable. uneffing believable. uneffing believable. >> All right, we're about to we're about to >> All right, we're about to we're about to >> All right, we're about to we're about to have a we're about to have a big moment have a we're about to have a big moment have a we're about to have a big moment here on IoT Coffee Talk. We're about to here on IoT Coffee Talk. We're about to here on IoT Coffee Talk. We're about to announce the creation of one of the new announce the creation of one of the new announce the creation of one of the new jobs of the future. And the job is being jobs of the future. And the job is being jobs of the future. And the job is being created right now live for a giant created right now live for a giant created right now live for a giant audience. audience. audience. >> What is that? >> What is that? >> What is that? >> Liquid cool. Liquid cooled server >> Liquid cool. Liquid cooled server >> Liquid cool. Liquid cooled server plumbers.

  30. plumbers. plumbers. >> Yes, that's right. >> Yes, that's right. >> Yes, that's right. >> A new kind of plumber for AI data >> A new kind of plumber for AI data >> A new kind of plumber for AI data centers. Your liquid piping got clogged centers. Your liquid piping got clogged centers. Your liquid piping got clogged and you're going to need a rotorooer guy and you're going to need a rotorooer guy and you're going to need a rotorooer guy to come save you. to come save you. to come save you. >> Yeah, >> Yeah, >> Yeah, >> there you go. New job. New job creation. >> there you go. New job. New job creation. >> there you go. New job. New job creation. >> One new job has been created. >> One new job has been created. >> One new job has been created. >> Every pot. Yes. Exterminator. You have >> Every pot. Yes. Exterminator. You have >> Every pot. Yes. Exterminator. You have all kinds of creepy crap like growing in all kinds of creepy crap like growing in all kinds of creepy crap like growing in those pipes. those pipes. those pipes. >> Creepy crap. >> Creepy crap. >> Creepy crap. >> The experts. We're the experts >> The experts. We're the experts >> The experts. We're the experts out of your servers. out of your servers. out of your servers. >> As a context, there's I mean each day AI >> As a context, there's I mean each day AI >> As a context, there's I mean each day AI data center is using hundreds of data center is using hundreds of data center is using hundreds of thousands of gallons per day of water. thousands of gallons per day of water. thousands of gallons per day of water. That's roughly That's roughly That's roughly >> at least. >> at least. >> at least. >> You're you have to evaporate that stuff, >> You're you have to evaporate that stuff, >> You're you have to evaporate that stuff, right? right? right? >> Yeah. Of course. And the heat's going to >> Yeah. Of course. And the heat's going to >> Yeah. Of course. And the heat's going to evaporate. So you're always bringing in evaporate. So you're always bringing in evaporate. So you're always bringing in new water per day. It's hundreds of thou new water per day. It's hundreds of thou new water per day. It's hundreds of thou half a million gallons a day per data half a million gallons a day per data half a million gallons a day per data center easily. center easily. center easily. >> Yeah. You have the chiller, you have the >> Yeah. You have the chiller, you have the >> Yeah. You have the chiller, you have the the uh evaporate, you know, the cooling the uh evaporate, you know, the cooling the uh evaporate, you know, the cooling tower that evaporates everything. tower that evaporates everything. tower that evaporates everything. >> Yeah. >> Yeah. >> Yeah. >> And you're not going to do that with >> And you're not going to do that with >> And you're not going to do that with toxic material. toxic material. toxic material. >> Interesting company in the UK called >> Interesting company in the UK called >> Interesting company in the UK called Deep Green if you look them up. and they Deep Green if you look them up. and they Deep Green if you look them up. and they have built out like a heat exchanger have built out like a heat exchanger have built out like a heat exchanger technology to to to basically pull the technology to to to basically pull the technology to to to basically pull the heat out of data centers and use them heat out of data centers and use them heat out of data centers and use them for uh like heating apartment buildings for uh like heating apartment buildings for uh like heating apartment buildings and swimming pools.

  31. and swimming pools. and swimming pools. >> Yeah. >> Yeah. >> Yeah. >> So, it's pretty cool. Now, you can't do >> So, it's pretty cool. Now, you can't do >> So, it's pretty cool. Now, you can't do this to your like kind of typical this to your like kind of typical this to your like kind of typical Microsoft Azure data center, but for a Microsoft Azure data center, but for a Microsoft Azure data center, but for a lot of these things um and they have lot of these things um and they have lot of these things um and they have some actual deployments in the UK where some actual deployments in the UK where some actual deployments in the UK where they're heating like community swimming they're heating like community swimming they're heating like community swimming pools. they go in and like build a pools. they go in and like build a pools. they go in and like build a community swimming pool for free community swimming pool for free community swimming pool for free >> in exchange for them to like outfit >> in exchange for them to like outfit >> in exchange for them to like outfit these data centers with their heat these data centers with their heat these data centers with their heat exchanger technology. So you wouldn't be exchanger technology. So you wouldn't be exchanger technology. So you wouldn't be surprised like your apartment buildings surprised like your apartment buildings surprised like your apartment buildings of the future might have a little mini of the future might have a little mini of the future might have a little mini data center on the back that's used for data center on the back that's used for data center on the back that's used for not only doing kind of AI compute but not only doing kind of AI compute but not only doing kind of AI compute but also heating the building at the same also heating the building at the same also heating the building at the same time. Dude, we we already talked about time. Dude, we we already talked about time. Dude, we we already talked about how, you know, these data centers should how, you know, these data centers should how, you know, these data centers should just open up a freaking gym next to it just open up a freaking gym next to it just open up a freaking gym next to it and then plug all the exercise machines and then plug all the exercise machines and then plug all the exercise machines uh to generator. uh to generator. uh to generator. >> I think I think something other magical >> I think I think something other magical >> I think I think something other magical about to happen here on our show. Wait a about to happen here on our show. Wait a about to happen here on our show. Wait a second. Because you're right. You're second. Because you're right. You're second. Because you're right. You're right. I've heard about people saying, right. I've heard about people saying, right. I've heard about people saying, "Yes, that excess heat we're heating "Yes, that excess heat we're heating "Yes, that excess heat we're heating homes and stuff like that." That's if homes and stuff like that." That's if homes and stuff like that." That's if you live in Norway or something like you live in Norway or something like you live in Norway or something like that or Sweden that or Sweden that or Sweden >> where it's cold >> where it's cold >> where it's cold >> or the UK. But wait for it. You said the >> or the UK. But wait for it. You said the >> or the UK. But wait for it. You said the word heat exchanger. It reminded me of word heat exchanger. It reminded me of word heat exchanger. It reminded me of the heat exchangers we have in nuclear the heat exchangers we have in nuclear the heat exchangers we have in nuclear reactors. When you have the you have the reactors. When you have the you have the reactors. When you have the you have the radioactive coolant that goes through radioactive coolant that goes through radioactive coolant that goes through heat exchanger with a non radioactive heat exchanger with a non radioactive heat exchanger with a non radioactive coolant, then it turns to steam. What if coolant, then it turns to steam. What if coolant, then it turns to steam. What if all that hot water can be turned to all that hot water can be turned to all that hot water can be turned to steam from a data center and then it steam from a data center and then it steam from a data center and then it spins spins spins something magnets going around coils and something magnets going around coils and something magnets going around coils and it creates new electricity.

  32. it creates new electricity. it creates new electricity. >> Yeah. And it becomes a power plant. >> Yeah. And it becomes a power plant. >> Yeah. And it becomes a power plant. >> Oh my gosh. >> Oh my gosh. >> Oh my gosh. >> Like a perpetual motion machine. You >> Like a perpetual motion machine. You >> Like a perpetual motion machine. You actually generate more energy than actually generate more energy than actually generate more energy than you're using, right? you're using, right? you're using, right? >> Yes. Absolutely. This is better than >> Yes. Absolutely. This is better than >> Yes. Absolutely. This is better than fusion. It It just got created right fusion. It It just got created right fusion. It It just got created right here on the show. here on the show. here on the show. >> Yeah. You're >> Yeah. You're >> Yeah. You're >> Oh my god. We're creating jobs and we're >> Oh my god. We're creating jobs and we're >> Oh my god. We're creating jobs and we're creating energy right now. creating energy right now. creating energy right now. >> Yes. Yes. That's what we do on IoT >> Yes. Yes. That's what we do on IoT >> Yes. Yes. That's what we do on IoT Coffee Talk. And we're also dispelling Coffee Talk. And we're also dispelling Coffee Talk. And we're also dispelling myths, right? myths, right? myths, right? >> Yeah. Ah, see >> Yeah. Ah, see >> Yeah. Ah, see >> mythbusters and we're missing >> mythbusters and we're missing >> mythbusters and we're missing >> some new myths and busting some old >> some new myths and busting some old >> some new myths and busting some old myths. myths. myths. >> So, but all right, but back back to the >> So, but all right, but back back to the >> So, but all right, but back back to the water usage like the whatever the water usage like the whatever the water usage like the whatever the 100,000 gallons a day. 100,000 gallons a day. 100,000 gallons a day. >> Half a million half a million gallons a >> Half a million half a million gallons a >> Half a million half a million gallons a day per data center. day per data center. day per data center. >> Is that new water or is it recirculated >> Is that new water or is it recirculated >> Is that new water or is it recirculated water? water? water? >> That's new water. >> That's new water. >> That's new water. >> New water. >> New water. >> New water. >> Brand new water. Okay, >> Brand new water. Okay, >> Brand new water. Okay, >> new water. So say unnamed analyst who >> new water. So say unnamed analyst who >> new water. So say unnamed analyst who says, "No, we're just recirculating it says, "No, we're just recirculating it says, "No, we're just recirculating it over and over again is over and over again is over and over again is wrong. It's new water.

  33. wrong. It's new water. wrong. It's new water. >> There's an opportunity to be educated." >> There's an opportunity to be educated." >> There's an opportunity to be educated." >> And plus, it's not even water. It's >> And plus, it's not even water. It's >> And plus, it's not even water. It's coolant. It's usually coolant. It's usually coolant. It's usually >> Yeah. It's not drinkable water. You >> Yeah. It's not drinkable water. You >> Yeah. It's not drinkable water. You can't like that. There's no little can't like that. There's no little can't like that. There's no little bubbler where you can drink the the bubbler where you can drink the the bubbler where you can drink the the >> Yeah. You know, it's either um a >> Yeah. You know, it's either um a >> Yeah. You know, it's either um a dialectric fluid, electric flu fluid, or dialectric fluid, electric flu fluid, or dialectric fluid, electric flu fluid, or it it's water treated with like it it's water treated with like it it's water treated with like chemical. Isn't that stuff that you're chemical. Isn't that stuff that you're chemical. Isn't that stuff that you're going to you should be dumping into like going to you should be dumping into like going to you should be dumping into like a river or anything like that? a river or anything like that? a river or anything like that? >> You want to you want to mitigate this. >> You want to you want to mitigate this. >> You want to you want to mitigate this. You want to mitigate the evaporation, You want to mitigate the evaporation, You want to mitigate the evaporation, >> right? >> right? >> right? >> And all that other stuff and also >> And all that other stuff and also >> And all that other stuff and also minimize like you said the buildup of minimize like you said the buildup of minimize like you said the buildup of organisms and other things. organisms and other things. organisms and other things. >> Yeah. Definitely not uh >> Yeah. Definitely not uh >> Yeah. Definitely not uh >> not good water to drink. >> not good water to drink. >> not good water to drink. >> So, this would this would not be under >> So, this would this would not be under >> So, this would this would not be under the category of potent portables. for the category of potent portables. for the category of potent portables. for 200 200 200 >> portables. It would be a potent portable >> portables. It would be a potent portable >> portables. It would be a potent portable for sure. for sure. for sure. >> Yeah. Again, there's a difference >> Yeah. Again, there's a difference >> Yeah. Again, there's a difference between rack cooling and then the whole between rack cooling and then the whole between rack cooling and then the whole data center system from data center system from data center system from >> Yeah. Yeah. the whole building and then >> Yeah. Yeah. the whole building and then >> Yeah. Yeah. the whole building and then there's on a per rack basis and then the there's on a per rack basis and then the there's on a per rack basis and then the top of the rack, you know, there's a top of the rack, you know, there's a top of the rack, you know, there's a thing up there that's pulling the heat, thing up there that's pulling the heat, thing up there that's pulling the heat, you know, you know, you know, >> and lots of different levels of cooling.

  34. >> and lots of different levels of cooling. >> and lots of different levels of cooling. And that by the way Rob to your point And that by the way Rob to your point And that by the way Rob to your point about new engineers people are looking about new engineers people are looking about new engineers people are looking at fields to go into you know study your at fields to go into you know study your at fields to go into you know study your thermodynamics in school folks don't thermodynamics in school folks don't thermodynamics in school folks don't skip that class and become like a tech skip that class and become like a tech skip that class and become like a tech or an engineer around the around or an engineer around the around or an engineer around the around thermals. thermals. thermals. >> Yeah. Oh, and you know that rem, you >> Yeah. Oh, and you know that rem, you >> Yeah. Oh, and you know that rem, you know, here's another thing that I I keep know, here's another thing that I I keep know, here's another thing that I I keep hearing from folks, and I've actually hearing from folks, and I've actually hearing from folks, and I've actually had some um you know, had some um you know, had some um you know, folks at conferences come up to me and folks at conferences come up to me and folks at conferences come up to me and ask me, "So, what are your thoughts on ask me, "So, what are your thoughts on ask me, "So, what are your thoughts on um jobs of the future? I have a daughter um jobs of the future? I have a daughter um jobs of the future? I have a daughter who's going to whatever Stanford or who's going to whatever Stanford or who's going to whatever Stanford or Berkeley, and they don't think that Berkeley, and they don't think that Berkeley, and they don't think that there's a future in STEM, and so they're there's a future in STEM, and so they're there's a future in STEM, and so they're looking to do XYZ stuff." And I told looking to do XYZ stuff." And I told looking to do XYZ stuff." And I told told them, "No, there's a future in told them, "No, there's a future in told them, "No, there's a future in STEM." And I think it's very toxic for STEM." And I think it's very toxic for STEM." And I think it's very toxic for people to talk dissuade, you know, the people to talk dissuade, you know, the people to talk dissuade, you know, the next generation from pursuing, you know, next generation from pursuing, you know, next generation from pursuing, you know, uh, careers, you know, education in STEM uh, careers, you know, education in STEM uh, careers, you know, education in STEM because it is going to be essential.

  35. because it is going to be essential. because it is going to be essential. We're going to need more people that We're going to need more people that We're going to need more people that actually know how all this stuff works, actually know how all this stuff works, actually know how all this stuff works, not fewer. And the thing is, China is not fewer. And the thing is, China is not fewer. And the thing is, China is definitely not dissuading anyone from definitely not dissuading anyone from definitely not dissuading anyone from getting into STEM. And we already have getting into STEM. And we already have getting into STEM. And we already have like this divide, right? And China's like this divide, right? And China's like this divide, right? And China's already ahead. They're better at math. already ahead. They're better at math. already ahead. They're better at math. They're better at a lot of stuff on the They're better at a lot of stuff on the They're better at a lot of stuff on the education front. Last thing we need is education front. Last thing we need is education front. Last thing we need is like all these like AI Yahoos telling like all these like AI Yahoos telling like all these like AI Yahoos telling everyone everyone's job is dead and that everyone everyone's job is dead and that everyone everyone's job is dead and that you don't we don't need coders. We don't you don't we don't need coders. We don't you don't we don't need coders. We don't need uh CS folks. We don't need anybody need uh CS folks. We don't need anybody need uh CS folks. We don't need anybody that that that hypothetically AI will quote unquote hypothetically AI will quote unquote hypothetically AI will quote unquote somehow magically replace somehow magically replace somehow magically replace Yeah. No, I think that's true. I mean, I Yeah. No, I think that's true. I mean, I Yeah. No, I think that's true. I mean, I think there's going to be though a class think there's going to be though a class think there's going to be though a class of these jobs like especially like kind of these jobs like especially like kind of these jobs like especially like kind of uh early in career coding jobs and of uh early in career coding jobs and of uh early in career coding jobs and things like that and you know things like that and you know things like that and you know maintenance and bug fixing and stuff. A maintenance and bug fixing and stuff. A maintenance and bug fixing and stuff. A lot of that's going to get automated and lot of that's going to get automated and lot of that's going to get automated and so by definition you probably need fewer so by definition you probably need fewer so by definition you probably need fewer of those types of folks but you know the of those types of folks but you know the of those types of folks but you know the a lot of the architecture and design and a lot of the architecture and design and a lot of the architecture and design and like you said how it works all that like you said how it works all that like you said how it works all that stuff still need to happen and then how stuff still need to happen and then how stuff still need to happen and then how the stuff is applied like there's the the stuff is applied like there's the the stuff is applied like there's the development of AI and then there's the development of AI and then there's the development of AI and then there's the application.

  36. application. application. >> Yeah. And I think the applied AI is kind >> Yeah. And I think the applied AI is kind >> Yeah. And I think the applied AI is kind of like the new frontier. Like there's of like the new frontier. Like there's of like the new frontier. Like there's lots of people developing it, but how is lots of people developing it, but how is lots of people developing it, but how is it applied? And that's I think a huge it applied? And that's I think a huge it applied? And that's I think a huge opportunity for people that want to be opportunity for people that want to be opportunity for people that want to be in STEM. By the way, we still need lots in STEM. By the way, we still need lots in STEM. By the way, we still need lots of people to do the trades. We need lots of people to do the trades. We need lots of people to do the trades. We need lots of people to work with other people, of people to work with other people, of people to work with other people, people that work with humans, people that work with humans, people that work with humans, >> you know, social work jobs and other, >> you know, social work jobs and other, >> you know, social work jobs and other, you know, support jobs and therapy jobs. you know, support jobs and therapy jobs. you know, support jobs and therapy jobs. And I would say shout out to the artists And I would say shout out to the artists And I would say shout out to the artists and the creators and the writers out and the creators and the writers out and the creators and the writers out there, too. So there, too. So there, too. So >> yeah, >> yeah, >> yeah, >> there's plenty of opportunity out there, >> there's plenty of opportunity out there, >> there's plenty of opportunity out there, >> right? >> right? >> right? >> Um and uh everyone will everyone will >> Um and uh everyone will everyone will >> Um and uh everyone will everyone will find their level in one form or another. find their level in one form or another. find their level in one form or another. So So So >> yeah, they'll figure it out. >> yeah, they'll figure it out. >> yeah, they'll figure it out. >> Figure it out. >> Figure it out. >> Figure it out. >> Do we do we do we think it's time to >> Do we do we do we think it's time to >> Do we do we do we think it's time to stop telling kids to go to those code stop telling kids to go to those code stop telling kids to go to those code camp boot camp things? camp boot camp things? camp boot camp things? >> No, keep going. Go. And >> No, keep going. Go. And >> No, keep going. Go. And >> if your kid wants to go, you should send >> if your kid wants to go, you should send >> if your kid wants to go, you should send them to go. Yes. them to go. Yes. them to go. Yes. >> And if they want to go to space camp, >> And if they want to go to space camp, >> And if they want to go to space camp, you should send them to space camp. you should send them to space camp. you should send them to space camp. Space camp is a good idea. and an art Space camp is a good idea. and an art Space camp is a good idea. and an art camp and jewelry camp. They should go to camp and jewelry camp. They should go to camp and jewelry camp. They should go to art camp. art camp. art camp. >> I mean, using AI as an excuse not to uh >> I mean, using AI as an excuse not to uh >> I mean, using AI as an excuse not to uh you know um not to support your child's you know um not to support your child's you know um not to support your child's um you know interest is really really um you know interest is really really um you know interest is really really bad. No, true.

  37. bad. No, true. bad. No, true. >> You know, and the a AI doesn't all all >> You know, and the a AI doesn't all all >> You know, and the a AI doesn't all all of a sudden mean that you don't have to of a sudden mean that you don't have to of a sudden mean that you don't have to uh you have you don't have to invest in uh you have you don't have to invest in uh you have you don't have to invest in the development of your your kids as the development of your your kids as the development of your your kids as humans. humans. humans. >> Yeah. No, I guess kind of >> Yeah. No, I guess kind of >> Yeah. No, I guess kind of >> like what what what's wrong with people? >> like what what what's wrong with people? >> like what what what's wrong with people? Why why do they think that somehow Why why do they think that somehow Why why do they think that somehow >> support your freaking kids and let them >> support your freaking kids and let them >> support your freaking kids and let them grow and develop? grow and develop? grow and develop? >> Let them grow. >> Let them grow. >> Let them grow. You can be a doctor or a lawyer. There's You can be a doctor or a lawyer. There's You can be a doctor or a lawyer. There's plenty of options. plenty of options. plenty of options. >> Hey, by the way, did you guys all check >> Hey, by the way, did you guys all check >> Hey, by the way, did you guys all check out the videos about the humanoid out the videos about the humanoid out the videos about the humanoid Olympics in China? Olympics in China? Olympics in China? >> Have you talked about that? >> Have you talked about that? >> Have you talked about that? >> No. >> No. >> No. >> You haven't seen >> You haven't seen >> You haven't seen >> videos, but I I I recently saw a video >> videos, but I I I recently saw a video >> videos, but I I I recently saw a video of a robot threatening some dude on a um of a robot threatening some dude on a um of a robot threatening some dude on a um on a scooter and then um the robot, you on a scooter and then um the robot, you on a scooter and then um the robot, you know, freaked a guy out. The guy jumped know, freaked a guy out. The guy jumped know, freaked a guy out. The guy jumped off his scooter and then the robot off his scooter and then the robot off his scooter and then the robot started punching started punching started punching the scooter. Well, the humanoid the scooter. Well, the humanoid the scooter. Well, the humanoid Olympics, the story of the humanoid Olympics, the story of the humanoid Olympics, the story of the humanoid Olympics, there was some run rate, like Olympics, there was some run rate, like Olympics, there was some run rate, like a 1500 kilometer, whatever. And I guess a 1500 kilometer, whatever. And I guess a 1500 kilometer, whatever. And I guess the robot, one of the robots fell down the robot, one of the robots fell down the robot, one of the robots fell down while it was running and then it it it while it was running and then it it it while it was running and then it it it lost an arm. An arm came off. It writed lost an arm. An arm came off. It writed lost an arm. An arm came off. It writed itself and kept running and it had like itself and kept running and it had like itself and kept running and it had like wires hanging off of it. And the crowd wires hanging off of it. And the crowd wires hanging off of it. And the crowd was like cheering on this robot, this was like cheering on this robot, this was like cheering on this robot, this onearmed robot that was like trying to onearmed robot that was like trying to onearmed robot that was like trying to finish the race, kind of like wobbling finish the race, kind of like wobbling finish the race, kind of like wobbling toward the finish line. And so I I toward the finish line. And so I I toward the finish line. And so I I think, you know, we're gonna have LA in think, you know, we're gonna have LA in think, you know, we're gonna have LA in 2028, but I think, you know, 2032 or 2028, but I think, you know, 2032 or 2028, but I think, you know, 2032 or whatever, like, let's get the humanoids whatever, like, let's get the humanoids whatever, like, let's get the humanoids in there. I would in there. I would in there. I would >> Oh, the humanity.

  38. >> Oh, the humanity. >> Oh, the humanity. >> Oh, the humanity. But, you know, >> Oh, the humanity. But, you know, >> Oh, the humanity. But, you know, cheering on the underdog robots with the cheering on the underdog robots with the cheering on the underdog robots with the I think that's awesome. I think that's awesome. I think that's awesome. >> Yeah. You know, I I think if the robot >> Yeah. You know, I I think if the robot >> Yeah. You know, I I think if the robot if the android is like data on Star Trek if the android is like data on Star Trek if the android is like data on Star Trek Next Generation, then people will be Next Generation, then people will be Next Generation, then people will be okay with it. okay with it. okay with it. >> Yeah. >> Yeah. >> Yeah. >> Because everybody loves data. Everybody >> Because everybody loves data. Everybody >> Because everybody loves data. Everybody love data, you That's right. love data, you That's right. love data, you That's right. >> Even without the emotion chip, >> Even without the emotion chip, >> Even without the emotion chip, >> but I think cheering on cheering on >> but I think cheering on cheering on >> but I think cheering on cheering on humanoid robot sport uh exhibits uh you humanoid robot sport uh exhibits uh you humanoid robot sport uh exhibits uh you know. know. know. >> Yeah, >> Yeah, >> Yeah, >> I think that's going to be a thing, man. >> I think that's going to be a thing, man. >> I think that's going to be a thing, man. We're going to see humanoids playing We're going to see humanoids playing We're going to see humanoids playing humanoids. We'll cheer them on. humanoids. We'll cheer them on. humanoids. We'll cheer them on. >> You know, NFL in a 100 years will be all >> You know, NFL in a 100 years will be all >> You know, NFL in a 100 years will be all humanoid based, humanoid robot based. No humanoid based, humanoid robot based. No humanoid based, humanoid robot based. No one will get CTE anymore. And we can one will get CTE anymore. And we can one will get CTE anymore. And we can just cheer them on and they can just run just cheer them on and they can just run just cheer them on and they can just run into each other and nobody gets hurt. I into each other and nobody gets hurt. I into each other and nobody gets hurt. I think it's fantastic. think it's fantastic. think it's fantastic. >> There you go. There you go. Boom. >> There you go. There you go. Boom. >> There you go. There you go. Boom. >> Robots. Look up the humanoid robot >> Robots. Look up the humanoid robot >> Robots. Look up the humanoid robot Olympics on YouTube and Olympics on YouTube and Olympics on YouTube and >> it's kind of like it's kind of like >> it's kind of like it's kind of like >> it's kind of like it's kind of like freakazoid robots. freakazoid robots. freakazoid robots. >> That would be a better marketing name. >> That would be a better marketing name. >> That would be a better marketing name. Freakazoid robot Olympics. Freakazoid robot Olympics. Freakazoid robot Olympics. >> Well, you know, they have um >> Well, you know, they have um >> Well, you know, they have um uh we've had like the robot wars thingy uh we've had like the robot wars thingy uh we've had like the robot wars thingy for for for >> Oh, yeah. Those things that the uh No, >> Oh, yeah. Those things that the uh No, >> Oh, yeah. Those things that the uh No, this is this is this is >> battle bots.

  39. >> battle bots. >> battle bots. >> Yeah, battle bots. There you go. >> Yeah, battle bots. There you go. >> Yeah, battle bots. There you go. >> Battlebots are fun. Yeah, >> Battlebots are fun. Yeah, >> Battlebots are fun. Yeah, >> but yeah, but it'll be it'll be >> but yeah, but it'll be it'll be >> but yeah, but it'll be it'll be interesting. interesting. interesting. >> These are like track and field robots. >> These are like track and field robots. >> These are like track and field robots. These are like, you know. These are like, you know. These are like, you know. >> Yeah, >> Yeah, >> Yeah, >> but it's kind of Isn't it kind of silly? >> but it's kind of Isn't it kind of silly? >> but it's kind of Isn't it kind of silly? >> I want to see a robot throw the javelin >> like two miles >> like two miles >> or a shot or like the freaking >> or a shot or like the freaking >> or a shot or like the freaking >> showad >> showad >> showad stadium. stadium. stadium. >> Stadium and some unsuspecting pedestrian >> Stadium and some unsuspecting pedestrian >> Stadium and some unsuspecting pedestrian just get shot. >> Oh my god. I love that. I love that. So, >> Oh my god. I love that. I love that. So, so, so, so so, so, so so, so, so >> I guess in the same vein that just >> I guess in the same vein that just >> I guess in the same vein that just because Deep Blue beat Gary Caspar at because Deep Blue beat Gary Caspar at because Deep Blue beat Gary Caspar at chess doesn't mean people quit playing chess doesn't mean people quit playing chess doesn't mean people quit playing chess. chess. chess. >> That's true. >> That's true. >> That's true. >> So, don't keep doing what you love, >> So, don't keep doing what you love, >> So, don't keep doing what you love, people. people. people. >> Yeah. I mean, you know, >> Yeah. I mean, you know, >> Yeah. I mean, you know, >> you're in a shop put, you keep doing >> you're in a shop put, you keep doing >> you're in a shop put, you keep doing your shop put. your shop put. your shop put. >> Well, yeah. That's the thing. A lot a >> Well, yeah. That's the thing. A lot a >> Well, yeah. That's the thing. A lot a lot of this ends up being just kind of lot of this ends up being just kind of lot of this ends up being just kind of like niche interest after a while, like niche interest after a while, like niche interest after a while, right? after a few wears off. But yeah, right? after a few wears off. But yeah, right? after a few wears off. But yeah, hum humans still need to do stuff. We hum humans still need to do stuff. We hum humans still need to do stuff. We need purpose. We need to uh strive for need purpose. We need to uh strive for need purpose. We need to uh strive for achievement. And you know, it's just achievement. And you know, it's just achievement. And you know, it's just weird that we we seem to discount that weird that we we seem to discount that weird that we we seem to discount that in the tech bro universe or the tech in the tech bro universe or the tech in the tech bro universe or the tech universe that we're in. You know what universe that we're in. You know what universe that we're in. You know what I'm saying, I'm saying, I'm saying, >> right?

  40. >> right? >> right? >> There's a lot of people who subscribe to >> There's a lot of people who subscribe to >> There's a lot of people who subscribe to this stuff this stuff this stuff >> that oh yeah, you know, we're going to >> that oh yeah, you know, we're going to >> that oh yeah, you know, we're going to have no purpose. There's going to be have no purpose. There's going to be have no purpose. There's going to be abundance. So you don't have to do abundance. So you don't have to do abundance. So you don't have to do you you you you know go fishing. It's like you know go fishing. It's like you know go fishing. It's like >> fishing >> fishing >> fishing >> what? >> what? >> what? >> But you know what? They're still gonna >> But you know what? They're still gonna >> But you know what? They're still gonna need these AI plumbers in our Logan's need these AI plumbers in our Logan's need these AI plumbers in our Logan's run future. So, you know, whatever. run future. So, you know, whatever. run future. So, you know, whatever. >> Yeah. >> Yeah. >> Yeah. >> You know, there's a purpose. >> You know, there's a purpose. >> You know, there's a purpose. >> Have to impose >> Have to impose >> Have to impose you get you get you get >> in the hand, you know. >> in the hand, you know. >> in the hand, you know. >> Yeah. Yeah. >> Yeah. Yeah. >> Yeah. Yeah. >> Yes. That's right. >> Yes. That's right. >> Yes. That's right. >> Oh, my little white thing on the hand >> Oh, my little white thing on the hand >> Oh, my little white thing on the hand red. It's today my last day. Ah, red. It's today my last day. Ah, red. It's today my last day. Ah, >> that's right. He's a runner. >> that's right. He's a runner. >> that's right. He's a runner. >> Just turned just He's a runner. Just >> Just turned just He's a runner. Just >> Just turned just He's a runner. Just turned 30. Get him. turned 30. Get him. turned 30. Get him. >> Yep. >> Yep. >> Yep. >> Oh my gosh. Yeah. >> Oh my gosh. Yeah. >> Oh my gosh. Yeah. >> No short of But, you know, there's >> No short of But, you know, there's >> No short of But, you know, there's always been that um this is always the I always been that um this is always the I always been that um this is always the I mean, Leonard, you have young kids, but mean, Leonard, you have young kids, but mean, Leonard, you have young kids, but the the thing about kind of guessing the the thing about kind of guessing the the thing about kind of guessing about careers and what are my kids about careers and what are my kids about careers and what are my kids studying and are they going to get a studying and are they going to get a studying and are they going to get a job? This has been multi-gen. This has job? This has been multi-gen. This has job? This has been multi-gen. This has been since the beginning of time back in been since the beginning of time back in been since the beginning of time back in agrarian age they're like you know will agrarian age they're like you know will agrarian age they're like you know will will Jethro be a good farmer or what's will Jethro be a good farmer or what's will Jethro be a good farmer or what's happening you know so happening you know so happening you know so >> right >> right >> right >> it's always a thing >> it's always a thing >> it's always a thing >> yeah and you know what the funny thing >> yeah and you know what the funny thing >> yeah and you know what the funny thing is the thing that people think is the is the thing that people think is the is the thing that people think is the biggest thing in the world ends up biggest thing in the world ends up biggest thing in the world ends up becoming the thing everyone gets laid becoming the thing everyone gets laid becoming the thing everyone gets laid off from uh within 2 three years I mean off from uh within 2 three years I mean off from uh within 2 three years I mean >> plastics I have one word for you >> plastics I have one word for you >> plastics I have one word for you plastics plastics plastics >> plastics plastics yep plastics Right.

  41. >> plastics plastics yep plastics Right. >> plastics plastics yep plastics Right. >> You remember that? The graduate the the >> You remember that? The graduate the the >> You remember that? The graduate the the movie The movie The movie The >> Dustin >> Dustin >> Dustin >> Dustin Hoffman. >> Dustin Hoffman. >> Dustin Hoffman. >> Yeah. >> Yeah. >> Yeah. >> That's right. >> That's right. >> That's right. >> The guy pulls him aside and he's like, I >> The guy pulls him aside and he's like, I >> The guy pulls him aside and he's like, I have one word for you. Plastics. have one word for you. Plastics. have one word for you. Plastics. >> Plastics. I mean, that's like one of the >> Plastics. I mean, that's like one of the >> Plastics. I mean, that's like one of the that's the most memorable moment in that's the most memorable moment in that's the most memorable moment in quote in movie history was plastics. quote in movie history was plastics. quote in movie history was plastics. >> But think about it. That's pretty >> But think about it. That's pretty >> But think about it. That's pretty profound statement for the time, right? profound statement for the time, right? profound statement for the time, right? Because chemical engineering like huge Because chemical engineering like huge Because chemical engineering like huge cuz the petrol industry cuz the petrol industry cuz the petrol industry >> wasn't wrong. He wasn't wrong. >> wasn't wrong. He wasn't wrong. >> wasn't wrong. He wasn't wrong. >> Yeah. No, he wasn't wrong at all. Look >> Yeah. No, he wasn't wrong at all. Look >> Yeah. No, he wasn't wrong at all. Look at all the look at all the microlastic. at all the look at all the microlastic. at all the look at all the microlastic. >> Yeah. Now it's everywhere almost >> Yeah. Now it's everywhere almost >> Yeah. Now it's everywhere almost everywhere. everywhere. everywhere. >> Yeah. It's infiltrated our body now and >> Yeah. It's infiltrated our body now and >> Yeah. It's infiltrated our body now and continues to u advance our Yeah. our continues to u advance our Yeah. our continues to u advance our Yeah. our cognitive decline. Yeah. So yeah, it's cognitive decline. Yeah. So yeah, it's cognitive decline. Yeah. So yeah, it's wonderful. wonderful. wonderful. >> Yeah. All the top VCs were investing in >> Yeah. All the top VCs were investing in >> Yeah. All the top VCs were investing in plastic startups in the 60s. Yeah. I plastic startups in the 60s. Yeah. I plastic startups in the 60s. Yeah. I don't think they had VCs back then. Did don't think they had VCs back then. Did don't think they had VCs back then. Did they have they have they have >> plast plastic unicorn? >> plast plastic unicorn? >> plast plastic unicorn? >> Unicorn.

  42. >> Yeah. Well, you know, oh, okay. So, this >> Yeah. Well, you know, oh, okay. So, this is a funny thing. Um, you know how like is a funny thing. Um, you know how like is a funny thing. Um, you know how like anthropic got like an new infusion of anthropic got like an new infusion of anthropic got like an new infusion of funding, which is ridiculous. It's like funding, which is ridiculous. It's like funding, which is ridiculous. It's like why do you get excited over funding? why do you get excited over funding? why do you get excited over funding? It's like where's the profit, right? But It's like where's the profit, right? But It's like where's the profit, right? But somehow because they got the funding, somehow because they got the funding, somehow because they got the funding, the valuation of the company has gone up the valuation of the company has gone up the valuation of the company has gone up like whatever times three. like whatever times three. like whatever times three. >> Sure. >> Sure. >> Sure. >> Yeah. But no one a asked how did you >> Yeah. But no one a asked how did you >> Yeah. But no one a asked how did you come up with that number? come up with that number? come up with that number? Nobody asked that. It's like weird. Nobody asked that. It's like weird. Nobody asked that. It's like weird. Everyone just believes that this company Everyone just believes that this company Everyone just believes that this company is worth XYZ and they they unquestioning is worth XYZ and they they unquestioning is worth XYZ and they they unquestioning questioningly accept it as gospel. Well, questioningly accept it as gospel. Well, questioningly accept it as gospel. Well, the the investors have to agree on a the the investors have to agree on a the the investors have to agree on a valuation though. Like valuation though. Like valuation though. Like >> Yeah, but that's making up because >> Yeah, but that's making up because >> Yeah, but that's making up because a lot of the investors are VCs. a lot of the investors are VCs. a lot of the investors are VCs. >> Yes. But the VCs have to private equity >> Yes. But the VCs have to private equity >> Yes. But the VCs have to private equity rationalize. They have to rationalize rationalize. They have to rationalize rationalize. They have to rationalize the valuation and the valuation and the valuation and >> yeah, make up. >> yeah, make up. >> yeah, make up. >> Their percentage of stuff. Yeah. I mean, >> Their percentage of stuff. Yeah. I mean, >> Their percentage of stuff. Yeah. I mean, >> yeah. Rationalize meaning um we're we're >> yeah. Rationalize meaning um we're we're >> yeah. Rationalize meaning um we're we're banking tremendously on this stuff. So, banking tremendously on this stuff. So, banking tremendously on this stuff. So, we need to float a large number.

  43. we need to float a large number. we need to float a large number. >> TAM. >> TAM. >> TAM. >> Yeah. Blah blah blah. >> Yeah. Blah blah blah. >> Yeah. Blah blah blah. >> It's all >> It's all >> It's all That's That's That's >> Yeah, because if they use standard >> Yeah, because if they use standard >> Yeah, because if they use standard valuation methods, you wouldn't get valuation methods, you wouldn't get valuation methods, you wouldn't get those numbers. those numbers. those numbers. >> No, you wouldn't. No, >> No, you wouldn't. No, >> No, you wouldn't. No, >> you wouldn't get because it's negative. >> you wouldn't get because it's negative. >> you wouldn't get because it's negative. It's all negative um negative income. It's all negative um negative income. It's all negative um negative income. There's no there's no profit, no There's no there's no profit, no There's no there's no profit, no nothing. So, how do you sit there and nothing. So, how do you sit there and nothing. So, how do you sit there and come make make the up and then come come make make the up and then come come make make the up and then come up with a massive? up with a massive? up with a massive? >> But, I mean, it's a private company, so >> But, I mean, it's a private company, so >> But, I mean, it's a private company, so it doesn't really matter what the value. it doesn't really matter what the value. it doesn't really matter what the value. >> So, what it's still a business, right? >> So, what it's still a business, right? >> So, what it's still a business, right? It's just there's no transparency is the It's just there's no transparency is the It's just there's no transparency is the only difference. But so but but it's a only difference. But so but but it's a only difference. But so but but it's a private company. Who cares what it's private company. Who cares what it's private company. Who cares what it's valued at? It's like I don't know like valued at? It's like I don't know like valued at? It's like I don't know like Bob's hardware shop. He owns it. He Bob's hardware shop. He owns it. He Bob's hardware shop. He owns it. He might you go to Shark Tank, they're like might you go to Shark Tank, they're like might you go to Shark Tank, they're like I I I >> they're like you're full of you >> they're like you're full of you >> they're like you're full of you know? And it's like know? And it's like know? And it's like >> all right, but he's asking for money. So >> all right, but he's asking for money. So >> all right, but he's asking for money. So he has to make a rational evaluation of he has to make a rational evaluation of he has to make a rational evaluation of like here's my sales year-over-year, like here's my sales year-over-year, like here's my sales year-over-year, here's my growth, blah blah blah. here's my growth, blah blah blah. here's my growth, blah blah blah. >> Yeah. But it no it makes a lot more >> Yeah. But it no it makes a lot more >> Yeah. But it no it makes a lot more sense if you make a an irrational sense if you make a an irrational sense if you make a an irrational you know you put some irrational numbers you know you put some irrational numbers you know you put some irrational numbers out there. I mean you guys you guys have out there. I mean you guys you guys have out there. I mean you guys you guys have uh you guys have worked with VCs as well uh you guys have worked with VCs as well uh you guys have worked with VCs as well as right with the numbers.

  44. as right with the numbers. as right with the numbers. >> Totally. >> Totally. >> Totally. >> Let's make this let's make this simple >> Let's make this let's make this simple >> Let's make this let's make this simple for our audience. Hey Sharks, I've come for our audience. Hey Sharks, I've come for our audience. Hey Sharks, I've come up with this new thingab bobber and I up with this new thingab bobber and I up with this new thingab bobber and I want to give away 10% of my company for want to give away 10% of my company for want to give away 10% of my company for $100,000. $100,000. $100,000. And so if Mr. Wonderful or Mark Cuban or And so if Mr. Wonderful or Mark Cuban or And so if Mr. Wonderful or Mark Cuban or whoever decides to do that deal, what is whoever decides to do that deal, what is whoever decides to do that deal, what is the valuation of that company? the valuation of that company? the valuation of that company? It's $1 million. It's $1 million. It's $1 million. >> 10 times under. >> 10 times under. >> 10 times under. >> So that's that's how you get that >> So that's that's how you get that >> So that's that's how you get that valuation that we're talking about. And valuation that we're talking about. And valuation that we're talking about. And so, you know, when Anthropic gets an so, you know, when Anthropic gets an so, you know, when Anthropic gets an extra $7 billion extra $7 billion extra $7 billion in exchange for some percentage, then in exchange for some percentage, then in exchange for some percentage, then they just do the math and that's how you they just do the math and that's how you they just do the math and that's how you come up. come up. come up. >> But the valuation has to be based on >> But the valuation has to be based on >> But the valuation has to be based on their earnings and their sales their earnings and their sales their earnings and their sales forecasts, right? forecasts, right? forecasts, right? >> There you go. There you go. >> There you go. There you go. >> There you go. There you go. >> So, they have to somehow >> So, they have to somehow >> So, they have to somehow >> show the hockey stick, you know, the old >> show the hockey stick, you know, the old >> show the hockey stick, you know, the old that's why they call it a hockey stick, that's why they call it a hockey stick, that's why they call it a hockey stick, right? The blade and right? The blade and right? The blade and >> the handle goes like this. and and and >> the handle goes like this. and and and >> the handle goes like this. and and and you you've explained exactly why most uh you you've explained exactly why most uh you you've explained exactly why most uh most ventures and uh these types of most ventures and uh these types of most ventures and uh these types of deals fall flat on their face or they're deals fall flat on their face or they're deals fall flat on their face or they're hydrated by uh investors and the hydrated by uh investors and the hydrated by uh investors and the valuation is dictated by uh investor valuation is dictated by uh investor valuation is dictated by uh investor sentiment or sentiment or sentiment or >> right >> right >> right >> but VCs are counting on most of the >> but VCs are counting on most of the >> but VCs are counting on most of the >> necessity >> necessity >> necessity >> versus the yeah the the fundamentals >> versus the yeah the the fundamentals >> versus the yeah the the fundamentals which is business which is business which is business >> but they're only counting on one out of >> but they're only counting on one out of >> but they're only counting on one out of 10 to really be successful so that they 10 to really be successful so that they 10 to really be successful so that they make make make >> That's right.

  45. >> That's right. >> That's right. >> So, >> So, >> So, >> I'm going to have nine failures, but >> I'm going to have nine failures, but >> I'm going to have nine failures, but number 10 is Facebook number 10 is Facebook number 10 is Facebook and I knock it out of the park, right? and I knock it out of the park, right? and I knock it out of the park, right? Yeah. Yeah. Yeah. >> By the way, speaking of knocking it, not >> By the way, speaking of knocking it, not >> By the way, speaking of knocking it, not knocking it out of the park. Did you see knocking it out of the park. Did you see knocking it out of the park. Did you see Open AI is uh now going to start their Open AI is uh now going to start their Open AI is uh now going to start their own kind of LinkedIn competitor own kind of LinkedIn competitor own kind of LinkedIn competitor platforms? Like this weird thing they platforms? Like this weird thing they platforms? Like this weird thing they announced it's going to be like a job announced it's going to be like a job announced it's going to be like a job board thing for AI or board thing for AI or board thing for AI or >> Open AI. Open AI is going to be >> Open AI. Open AI is going to be >> Open AI. Open AI is going to be >> I'm like what? >> I'm like what? >> I'm like what? It's because they heard it's because It's because they heard it's because It's because they heard it's because they heard Leonard complaining about they heard Leonard complaining about they heard Leonard complaining about LinkedIn sucking so bad. Now LinkedIn sucking so bad. Now LinkedIn sucking so bad. Now >> you can move your >> you can move your >> you can move your LinkedIn platform. LinkedIn platform. LinkedIn platform. >> I think it's because they need more >> I think it's because they need more >> I think it's because they need more data. So they're this is a way to data. So they're this is a way to data. So they're this is a way to capture more training data capture more training data capture more training data >> is to get job stuff. >> is to get job stuff. >> is to get job stuff. >> Clever girl. >> Clever girl. >> Clever girl. But yeah, so weird though like how these But yeah, so weird though like how these But yeah, so weird though like how these how these AI companies, these foundation how these AI companies, these foundation how these AI companies, these foundation model companies, which is what they are, model companies, which is what they are, model companies, which is what they are, they just have foundation models with they just have foundation models with they just have foundation models with APIs wrapped around them. APIs wrapped around them. APIs wrapped around them. >> Like how are they morphing to turn into >> Like how are they morphing to turn into >> Like how are they morphing to turn into real businesses to your point, Lender, real businesses to your point, Lender, real businesses to your point, Lender, they have to turn into real businesses they have to turn into real businesses they have to turn into real businesses with real revenue. So the foundation with real revenue. So the foundation with real revenue. So the foundation model business itself is kind of model business itself is kind of model business itself is kind of starting to commoditize. And so now starting to commoditize. And so now starting to commoditize. And so now they're layering more software stuff on they're layering more software stuff on they're layering more software stuff on top to either capture data or monetize top to either capture data or monetize top to either capture data or monetize their foundation models rather than just their foundation models rather than just their foundation models rather than just licensing the foundation models to licensing the foundation models to licensing the foundation models to people like Microsoft or LinkedIn.

  46. people like Microsoft or LinkedIn. people like Microsoft or LinkedIn. They're competing with these platforms They're competing with these platforms They're competing with these platforms and uh because they have to generate, and uh because they have to generate, and uh because they have to generate, you know, ridiculous amounts of revenue you know, ridiculous amounts of revenue you know, ridiculous amounts of revenue to justify their valuation. So to justify their valuation. So to justify their valuation. So >> yeah, >> yeah, >> yeah, >> like we always tell already at all you >> like we always tell already at all you >> like we always tell already at all you kids out there, make sure you listen to kids out there, make sure you listen to kids out there, make sure you listen to your uncle Pete there. He he's Sam is your uncle Pete there. He he's Sam is your uncle Pete there. He he's Sam is doing something smart by creating a doing something smart by creating a doing something smart by creating a LinkedIn competitor because they look LinkedIn competitor because they look LinkedIn competitor because they look over their shoulders at their buddy Elon over their shoulders at their buddy Elon over their shoulders at their buddy Elon who's got Twitter X who's got Twitter X who's got Twitter X >> which is just generating new human >> which is just generating new human >> which is just generating new human content continuously to train models. content continuously to train models. content continuously to train models. And so they're like I need that. How do And so they're like I need that. How do And so they're like I need that. How do I get some of that? I'll build a I get some of that? I'll build a I get some of that? I'll build a LinkedIn LinkedIn LinkedIn >> copycat >> copycat >> copycat >> because that because that gives that >> because that because that gives that >> because that because that gives that gives Elon an unfair advantage that he gives Elon an unfair advantage that he gives Elon an unfair advantage that he owns X because tons of new human content owns X because tons of new human content owns X because tons of new human content is being created on X every minute. is being created on X every minute. is being created on X every minute. >> Okay. And that No, it's true. That's >> Okay. And that No, it's true. That's >> Okay. And that No, it's true. That's it's true. It's real. it's true. It's real. it's true. It's real. >> I think his competitive advantage is >> I think his competitive advantage is >> I think his competitive advantage is that he has the highest quality data that he has the highest quality data that he has the highest quality data source for creating um the best Tay. So source for creating um the best Tay. So source for creating um the best Tay. So pay X.0.

  47. pay X.0. pay X.0. >> Yes. No, they definitely cornered the >> Yes. No, they definitely cornered the >> Yes. No, they definitely cornered the market on that. market on that. market on that. >> They've also mastered, you know, >> They've also mastered, you know, >> They've also mastered, you know, recursive um you know um recursive recursive um you know um recursive recursive um you know um recursive uh regurgitation of uh AI generated uh regurgitation of uh AI generated uh regurgitation of uh AI generated crap. You know, they he he still hasn't crap. You know, they he he still hasn't crap. You know, they he he still hasn't disclosed how many of the accounts are disclosed how many of the accounts are disclosed how many of the accounts are bot accounts, right? bot accounts, right? bot accounts, right? For all we know, most of the content on For all we know, most of the content on For all we know, most of the content on all of these platforms are not human all of these platforms are not human all of these platforms are not human generated. They're, you know, generated. They're, you know, generated. They're, you know, >> they could still be interesting to read >> they could still be interesting to read >> they could still be interesting to read even if they're not human generated. even if they're not human generated. even if they're not human generated. Just like watching humanoid robots down Just like watching humanoid robots down Just like watching humanoid robots down track, you know. track, you know. track, you know. >> Exactly. >> Exactly. >> Exactly. >> Your network. You want that to run your >> Your network. You want that to run your >> Your network. You want that to run your critical infrastructure. critical infrastructure. critical infrastructure. >> No, I mean, no, I don't think any >> No, I mean, no, I don't think any >> No, I mean, no, I don't think any Fortune 500 is betting their business on Fortune 500 is betting their business on Fortune 500 is betting their business on Grock. Jesus Christ. I hope not. Grock. Jesus Christ. I hope not. Grock. Jesus Christ. I hope not. >> Oh my god. Come on, dude. >> Oh my god. Come on, dude. >> Oh my god. Come on, dude. Yeah, they they'll do that until they Yeah, they they'll do that until they Yeah, they they'll do that until they experience catastrophe and then they'll experience catastrophe and then they'll experience catastrophe and then they'll back off. back off. back off. >> Yeah. Then some shareholder will be >> Yeah. Then some shareholder will be >> Yeah. Then some shareholder will be like, "Why did that happen?" It's like, like, "Why did that happen?" It's like, like, "Why did that happen?" It's like, "Oh, well, we used Grock." "Oh, well, we used Grock." "Oh, well, we used Grock." >> Yeah. And then find a fall guy to fire >> Yeah. And then find a fall guy to fire >> Yeah. And then find a fall guy to fire and blame and blame and blame >> because that IT plumber. They hired that >> because that IT plumber. They hired that >> because that IT plumber. They hired that plumber from it plumber from it plumber from it >> or or no, better yet, the chief AI >> or or no, better yet, the chief AI >> or or no, better yet, the chief AI officer.

  48. officer. officer. >> There you go. >> There you go. >> There you go. >> Yeah, that is a job you do not want. >> Yeah, that is a job you do not want. >> Yeah, that is a job you do not want. chief AI officer. But you know since in chief AI officer. But you know since in chief AI officer. But you know since in the words you know when you think of the words you know when you think of the words you know when you think of terms like pivot and then just making up terms like pivot and then just making up terms like pivot and then just making up silliness when you think about the bots silliness when you think about the bots silliness when you think about the bots on X creating content and thinking on X creating content and thinking on X creating content and thinking that's a negative thing all the pivot go that's a negative thing all the pivot go that's a negative thing all the pivot go no wait it's synthetic data for AI no wait it's synthetic data for AI no wait it's synthetic data for AI because I know lots of companies that because I know lots of companies that because I know lots of companies that that's all they're talking about is the that's all they're talking about is the that's all they're talking about is the next next next >> there is a role for synthetic we >> there is a role for synthetic we >> there is a role for synthetic we probably don't have enough time to talk probably don't have enough time to talk probably don't have enough time to talk about synthetic data but about synthetic data but about synthetic data but >> be careful about synthetic data what we >> be careful about synthetic data what we >> be careful about synthetic data what we mean by it too mean by it too mean by it too >> manufacturing ing and defect detection >> manufacturing ing and defect detection >> manufacturing ing and defect detection and stuff. So, there's a very big role and stuff. So, there's a very big role and stuff. So, there's a very big role for that. I don't think what we're for that. I don't think what we're for that. I don't think what we're talking about is like synthetic tweets talking about is like synthetic tweets talking about is like synthetic tweets is not what we're talking about. is not what we're talking about. is not what we're talking about. >> No, >> No, >> No, >> no, no. Or synthetic facts. >> no, no. Or synthetic facts. >> no, no. Or synthetic facts. >> Or maybe they'll have synthetic job >> Or maybe they'll have synthetic job >> Or maybe they'll have synthetic job seekers on this synthetic open AI job seekers on this synthetic open AI job seekers on this synthetic open AI job platform. platform. platform. >> Yeah. >> Yeah. >> Yeah. >> That will and then we'll use that at the >> That will and then we'll use that at the >> That will and then we'll use that at the level and say unemployment's down to 1%.

  49. level and say unemployment's down to 1%. level and say unemployment's down to 1%. >> There we are. It'll be the truth social >> There we are. It'll be the truth social >> There we are. It'll be the truth social job. ratulations. job. ratulations. job. ratulations. >> Yeah, we we we we won. >> Yeah, we we we we won. >> Yeah, we we we we won. >> We solved unemployment. >> Oh jeez. Yeah. No, we should have a >> Oh jeez. Yeah. No, we should have a whole episode on the whole episode on the whole episode on the >> when uh Debbiey's on, you know, because >> when uh Debbiey's on, you know, because >> when uh Debbiey's on, you know, because she she looks at that stuff quite a bit. she she looks at that stuff quite a bit. she she looks at that stuff quite a bit. >> But um hey, you know, we should have >> But um hey, you know, we should have >> But um hey, you know, we should have probably led in with this, but probably led in with this, but probably led in with this, but Stephanie's not on, but Stephanie's not on, but Stephanie's not on, but everyone. Um, we have some big news everyone. Um, we have some big news everyone. Um, we have some big news related to Elevate Our Kids. It's no related to Elevate Our Kids. It's no related to Elevate Our Kids. It's no longer Elevate our Kids, it's Elevate longer Elevate our Kids, it's Elevate longer Elevate our Kids, it's Elevate Communities. So, we're making a pivot. Communities. So, we're making a pivot. Communities. So, we're making a pivot. Uh, and we have a new mission and we Uh, and we have a new mission and we Uh, and we have a new mission and we encourage you to go and check it out. encourage you to go and check it out. encourage you to go and check it out. The website, I think, is The website, I think, is The website, I think, is www.elevatecommunities.org, right? Did we secure that? I think right? Did we secure that? I think that's right. Yeah, I think that's that's right. Yeah, I think that's that's right. Yeah, I think that's right.

  50. right. right. >> Yeah. Yeah. >> Yeah. Yeah. >> Yeah. Yeah. And so, yeah, we have a the the charity And so, yeah, we have a the the charity And so, yeah, we have a the the charity has a new mission and it's really to has a new mission and it's really to has a new mission and it's really to um elevate communities in time of crisis um elevate communities in time of crisis um elevate communities in time of crisis and we're looking to channel a lot of and we're looking to channel a lot of and we're looking to channel a lot of the techno goodness that we talk about the techno goodness that we talk about the techno goodness that we talk about every week here on IoT Coffee Talk to every week here on IoT Coffee Talk to every week here on IoT Coffee Talk to helping communities be more resilient, helping communities be more resilient, helping communities be more resilient, to recover from disasters, and to um to recover from disasters, and to um to recover from disasters, and to um basically have early warning systems so basically have early warning systems so basically have early warning systems so that they can be ready when dangers are that they can be ready when dangers are that they can be ready when dangers are imminent and uh we can minimize loss of imminent and uh we can minimize loss of imminent and uh we can minimize loss of life life life most importantly, right? But then also most importantly, right? But then also most importantly, right? But then also hopefully loss in property by helping hopefully loss in property by helping hopefully loss in property by helping communities leverage the leading edge of communities leverage the leading edge of communities leverage the leading edge of technologies technologies technologies uh that uh many of you out there are uh that uh many of you out there are uh that uh many of you out there are working on. And so this is a, you know, working on. And so this is a, you know, working on. And so this is a, you know, a great opportunity to get involved in a great opportunity to get involved in a great opportunity to get involved in helping uh communities fortify helping uh communities fortify helping uh communities fortify themselves technically to be more themselves technically to be more themselves technically to be more resilient and um become um you know more resilient and um become um you know more resilient and um become um you know more capable in dealing with capable in dealing with capable in dealing with >> I think the Yeah, I think the website is >> I think the Yeah, I think the website is >> I think the Yeah, I think the website is still under construction by the way. So still under construction by the way. So still under construction by the way. So just just just >> okay on the website.

  51. >> okay on the website. >> okay on the website. >> Yeah. But yeah, Stephanie will hopefully >> Yeah. But yeah, Stephanie will hopefully >> Yeah. But yeah, Stephanie will hopefully be back next week. we can do a big grand be back next week. we can do a big grand be back next week. we can do a big grand and and and >> spend the whole time talking about what >> spend the whole time talking about what >> spend the whole time talking about what we're doing cuz yeah, it's it's a huge we're doing cuz yeah, it's it's a huge we're doing cuz yeah, it's it's a huge change and it's change and it's change and it's >> it's a giant thing and it's a going to >> it's a giant thing and it's a going to >> it's a giant thing and it's a going to be a lot be a lot be a lot >> a lot more on us. >> a lot more on us. >> a lot more on us. >> Um yeah, you know, we're going from how >> Um yeah, you know, we're going from how >> Um yeah, you know, we're going from how we helped kids during COVID get we helped kids during COVID get we helped kids during COVID get connected and now we're going to connect connected and now we're going to connect connected and now we're going to connect and use Yeah. our own knowhow, our and use Yeah. our own knowhow, our and use Yeah. our own knowhow, our knowow around IoT and a lot of tech knowow around IoT and a lot of tech knowow around IoT and a lot of tech >> uh to help help in a much much bigger >> uh to help help in a much much bigger >> uh to help help in a much much bigger way. So, it's going to be it's going to way. So, it's going to be it's going to way. So, it's going to be it's going to be a pretty big thing for us. That's be a pretty big thing for us. That's be a pretty big thing for us. That's exciting. exciting. exciting. >> Yeah. >> Yeah. >> Yeah. >> Cool. >> Cool. >> Cool. >> Awesome. >> Awesome. >> Awesome. >> Very very very cool. New merch. >> Very very very cool. New merch. >> Very very very cool. New merch. >> New we'll have we'll have new merch and >> New we'll have we'll have new merch and >> New we'll have we'll have new merch and Yeah. And it's the biggest purpose ever. Yeah. And it's the biggest purpose ever. Yeah. And it's the biggest purpose ever. >> Yeah. >> Yeah. >> Yeah. >> It really is. It really is. >> It really is. It really is. >> It really is. It really is. >> Dubtales nicely with what Peter's doing >> Dubtales nicely with what Peter's doing >> Dubtales nicely with what Peter's doing with Edge AI Foundation. with Edge AI Foundation. with Edge AI Foundation. >> There you go. >> There you go. >> There you go. >> Yep. because we're going to be tapping >> Yep. because we're going to be tapping >> Yep. because we're going to be tapping all of our partners and friends in this all of our partners and friends in this all of our partners and friends in this world, including Pete and a whole lot of world, including Pete and a whole lot of world, including Pete and a whole lot of other people to help us out with a lot other people to help us out with a lot other people to help us out with a lot of of of >> AJI challenge. We should do an AJI >> AJI challenge. We should do an AJI >> AJI challenge. We should do an AJI challenge for challenge for challenge for >> Absolutely. Yeah. Yeah. So, it's really >> Absolutely. Yeah. Yeah. So, it's really >> Absolutely. Yeah. Yeah. So, it's really exciting stuff. We hope you get exciting stuff. We hope you get exciting stuff. We hope you get involved. Uh it's a great way to not involved. Uh it's a great way to not involved. Uh it's a great way to not only get visibility to your charity but only get visibility to your charity but only get visibility to your charity but also to um get involved in the the you also to um get involved in the the you also to um get involved in the the you know development of these solutions and know development of these solutions and know development of these solutions and kits kits kits >> right >> right >> right building solutions building solutions building solutions >> you go bag your go bag when something

  52. >> you go bag your go bag when something >> you go bag your go bag when something goes wrong. So what are we doing? We're goes wrong. So what are we doing? We're goes wrong. So what are we doing? We're preparedness. We're going to be doing preparedness. We're going to be doing preparedness. We're going to be doing stuff in advance. will be doing stuff stuff in advance. will be doing stuff stuff in advance. will be doing stuff when I mean this, you know, gosh, I know when I mean this, you know, gosh, I know when I mean this, you know, gosh, I know it always popped in my head as I've been it always popped in my head as I've been it always popped in my head as I've been slowly, miserably trying to write this slowly, miserably trying to write this slowly, miserably trying to write this book about sustainable development goals book about sustainable development goals book about sustainable development goals with all our IoT and digital stuff, but with all our IoT and digital stuff, but with all our IoT and digital stuff, but what are we seeing all around us? Fires, what are we seeing all around us? Fires, what are we seeing all around us? Fires, flood, drought, just so many things, flood, drought, just so many things, flood, drought, just so many things, >> pestilence, >> pestilence, >> pestilence, >> people need help. And it's like, what >> people need help. And it's like, what >> people need help. And it's like, what are we good at? What are we specifically are we good at? What are we specifically are we good at? What are we specifically good at? We're not going to be good at? We're not going to be good at? We're not going to be delivering food. There's other people delivering food. There's other people delivering food. There's other people doing that, but there's little niches doing that, but there's little niches doing that, but there's little niches that we're really good at. We're going that we're really good at. We're going that we're really good at. We're going to zero in on that kind of stuff. It's to zero in on that kind of stuff. It's to zero in on that kind of stuff. It's exciting stuff for sure. Helping a lot exciting stuff for sure. Helping a lot exciting stuff for sure. Helping a lot of people. of people. of people. >> Yeah. Yeah. So, um, hey everyone. Really >> Yeah. Yeah. So, um, hey everyone. Really >> Yeah. Yeah. So, um, hey everyone. Really appreciate you listening this far. If appreciate you listening this far. If appreciate you listening this far. If you made it, you guys are champs. And uh you made it, you guys are champs. And uh you made it, you guys are champs. And uh next time we will uh lead in with this next time we will uh lead in with this next time we will uh lead in with this new pivot that we have with Elevate our new pivot that we have with Elevate our new pivot that we have with Elevate our kids toward elevate our elevate kids toward elevate our elevate kids toward elevate our elevate communities. And so um anyway, we talked communities. And so um anyway, we talked communities. And so um anyway, we talked a lot about a lot of stuff. So if you a lot about a lot of stuff. So if you a lot about a lot of stuff. So if you got up to this point, you probably heard got up to this point, you probably heard got up to this point, you probably heard all of it. So I'm not going to recount all of it. So I'm not going to recount all of it. So I'm not going to recount everything for you, but um we'll see you everything for you, but um we'll see you everything for you, but um we'll see you next week uh here at www.iot IoT next week uh here at www.iot IoT next week uh here at www.iot IoT coffee.com. And oh, also make sure to coffee.com. And oh, also make sure to coffee.com. And oh, also make sure to check out the Substack. We have a check out the Substack. We have a check out the Substack. We have a Substack, right?

  53. Substack, right? Substack, right? >> That's right. IOT IoT coffee >> That's right. IOT IoT coffee >> That's right. IOT IoT coffee talk.substack.com. talk.substack.com. talk.substack.com. >> Yeah. And >> Yeah. And >> Yeah. And >> Huh. >> Huh. >> Huh. >> Yeah, I noticed I noticed Andre and >> Yeah, I noticed I noticed Andre and >> Yeah, I noticed I noticed Andre and Horowitz just moved to Substack Horowitz just moved to Substack Horowitz just moved to Substack yesterday. yesterday. yesterday. >> Wow. >> Wow. >> Wow. >> I think a lot I think and and I know I >> I think a lot I think and and I know I >> I think a lot I think and and I know I know you moved to next next curve moved know you moved to next next curve moved know you moved to next next curve moved to Substack, right? to Substack, right? to Substack, right? >> Yeah, but I got suspended. >> Yeah, but I got suspended. >> Yeah, but I got suspended. I don't know why. I don't know why. I don't know why. >> Oh, ouch. Yeah, I'm working it out with >> Oh, ouch. Yeah, I'm working it out with >> Oh, ouch. Yeah, I'm working it out with them because their platform is actually them because their platform is actually them because their platform is actually pretty buggy. You know, I made a couple pretty buggy. You know, I made a couple pretty buggy. You know, I made a couple of submissions that errored out on their of submissions that errored out on their of submissions that errored out on their platform and I think they they platform and I think they they platform and I think they they interpreted uh those repeated requests interpreted uh those repeated requests interpreted uh those repeated requests for the same content as Yeah. like spam for the same content as Yeah. like spam for the same content as Yeah. like spam or some crap like that. So, I'm working or some crap like that. So, I'm working or some crap like that. So, I'm working it out with them. It it's it's not it out with them. It it's it's not it out with them. It it's it's not it's not uh it's not a mature platform it's not uh it's not a mature platform it's not uh it's not a mature platform yet, but anyway, yet, but anyway, yet, but anyway, >> sounds like they're getting a lot of >> sounds like they're getting a lot of >> sounds like they're getting a lot of attention. So, attention. So, attention. So, >> I like it. I think they're banning you >> I like it. I think they're banning you >> I like it. I think they're banning you because they heard you were already bad because they heard you were already bad because they heard you were already bad mouthing LinkedIn and they figured you mouthing LinkedIn and they figured you mouthing LinkedIn and they figured you were going to come after them next. were going to come after them next. were going to come after them next. >> Yeah, I was going to read them more >> Yeah, I was going to read them more >> Yeah, I was going to read them more readers. Yeah. Yeah. Users. Oh, readers. Yeah. Yeah. Users. Oh, readers. Yeah. Yeah. Users. Oh, horrible.

  54. horrible. horrible. [Laughter] [Laughter] [Laughter] >> Okay, guys. We'll see you next week. >> Okay, guys. We'll see you next week. >> Okay, guys. We'll see you next week. >> See you next week. >> See you next week. >> See you next week. >> Adios. >> Adios. >> Adios. >> Yeah. And welcome to Texas. Welcome to >> Yeah. And welcome to Texas. Welcome to >> Yeah. And welcome to Texas. Welcome to California. California. California. >> That's right. We're doing California >> That's right. We're doing California >> That's right. We're doing California right now. right now. right now. Heat. Heat. Heat. Heat. Heat. Heat. [Music]

Summary

The transcript discusses the band Ratt, specifically their song "Way Cool Jr." and the album "Reach for the Sky." It highlights the consistent sound of Ratt's music, comparing it to being able to improvise on tour, and mentions other female-fronted heavy metal bands like Vixen and Lita Ford. The practical takeaway is that Ratt's music, while often similar, offered a familiar and easy-to-digest sound for fans.

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