IoT Coffee Talk: Episode 191 - The Shifting Sands of Tech (Live from CES 2024)

guys and do and and do not let the guys and do and and do not let the beautiful sunshine behind us Cloud you beautiful sunshine behind us Cloud you beautiful sunshine behind us Cloud you with the idea that it's 38° and freaking with the idea that it's 38° and freaking with the idea that it's 38° and freaking freezing freezing freezing here here here Sunny yeah happy New Sunny yeah happy New Sunny yeah happy New Year going I coffee T this is the Year going I coffee T this is the Year going I coffee T this is the special CES 2024 episode right and Steve special CES 2024 episode right and Steve special CES 2024 episode right and Steve bumer and I are here live amongst the bumer and I are here live amongst the bumer and I are here live amongst the iot coffee talk crew right the only the iot coffee talk crew right the only the iot coffee talk crew right the only the onlye yeah oh my to suffer the crowds onlye yeah oh my to suffer the crowds onlye yeah oh my to suffer the crowds cold weather extraordinarily expensive cold weather extraordinarily expensive cold weather extraordinarily expensive coffee and uh yeah coffee and uh yeah coffee and uh yeah 70% um what do you call it Resort no 70% um what do you call it Resort no 70% um what do you call it Resort no 177% hotel tax and daily $70 daily 177% hotel tax and daily $70 daily 177% hotel tax and daily $70 daily Resort fees yes just to get little Resort fees yes just to get little Resort fees yes just to get little bottles of water that is crazy which bottles of water that is crazy which bottles of water that is crazy which ends up being like a 40% tax ends up being like a 40% tax ends up being like a 40% tax cap how's the crowd down there is it uh cap how's the crowd down there is it uh cap how's the crowd down there is it uh you mentioned is it pretty packed or oh you mentioned is it pretty packed or oh you mentioned is it pretty packed or oh yesterday yesterday was packed yesterday yesterday yesterday was packed yesterday yesterday yesterday was packed yesterday was the floor was jammed and it was was the floor was jammed and it was was the floor was jammed and it was interesting it still flocks to a lot of interesting it still flocks to a lot of interesting it still flocks to a lot of the electronics like the central hall the electronics like the central hall the electronics like the central hall yesterday for LG and you know all all yesterday for LG and you know all all yesterday for LG and you know all all the all the TV guys and all the the all the TV guys and all the the all the TV guys and all the entertainment got man there were massive entertainment got man there were massive entertainment got man there were massive amounts of people down there so amounts of people down there so amounts of people down there so everybody wants to see the latest yeah everybody wants to see the latest yeah everybody wants to see the latest yeah clear uh clear uh clear uh yes the transparent one that was m every

yes the transparent one that was m every yes the transparent one that was m every year they roll out some kind of crazy TV year they roll out some kind of crazy TV year they roll out some kind of crazy TV that they never ship it's either like that they never ship it's either like that they never ship it's either like the rolling TV or the Clear TV whatever the rolling TV or the Clear TV whatever the rolling TV or the Clear TV whatever and that was pretty amazing 100 inch it and that was pretty amazing 100 inch it and that was pretty amazing 100 inch it was as thin as the B you know as thin as was as thin as the B you know as thin as was as thin as the B you know as thin as this you kind of roll it in you slap it this you kind of roll it in you slap it this you kind of roll it in you slap it it's like roll it and slap it yeah and it's like roll it and slap it yeah and it's like roll it and slap it yeah and you you you know Flex it's unbelievable just a know Flex it's unbelievable just a know Flex it's unbelievable just a thought of how much Flex technology is thought of how much Flex technology is thought of how much Flex technology is in there not the company but the flex in there not the company but the flex in there not the company but the flex Tech it's just it it I wanted to be able Tech it's just it it I wanted to be able Tech it's just it it I wanted to be able to get up to it they wouldn't let you to get up to it they wouldn't let you to get up to it they wouldn't let you get close to it to see what the backing get close to it to see what the backing get close to it to see what the backing of that was looking like but it's not of that was looking like but it's not of that was looking like but it's not real until it shows up in my local real until it shows up in my local real until it shows up in my local Costco you know so yeah oh good yeah Costco you know so yeah oh good yeah Costco you know so yeah oh good yeah there that's a good marketing piece there that's a good marketing piece there that's a good marketing piece like like like yeah to Costco has there's a lot of people here I mean has there's a lot of people here I mean it's it's almost back to it's it's it's almost back to it's it's it's almost back to it's uh form did you 30,000 that's what 100 I uh form did you 30,000 that's what 100 I uh form did you 30,000 that's what 100 I heard 135 wow okay so they broke 100K heard 135 wow okay so they broke 100K heard 135 wow okay so they broke 100K that's fantastic yeah good oh yeah and that's fantastic yeah good oh yeah and that's fantastic yeah good oh yeah and and if last night the Exodus out of here and if last night the Exodus out of here and if last night the Exodus out of here was any indication it was freaking was any indication it was freaking was any indication it was freaking chaotic I can imagine the Cav lines and chaotic I can imagine the Cav lines and chaotic I can imagine the Cav lines and the Uber Lin yeah were you able to get good Lin yeah were you able to get good hotels nearby or are you long way away hotels nearby or are you long way away hotels nearby or are you long way away or yeah I'm over at the Mirage okay and or yeah I'm over at the Mirage okay and or yeah I'm over at the Mirage okay and you know I decided I'll take that 40% you know I decided I'll take that 40% you know I decided I'll take that 40% like ridiculous Las Vegas you know out

like ridiculous Las Vegas you know out like ridiculous Las Vegas you know out of state of state of state tax to yeah reside here temporarily uh tax to yeah reside here temporarily uh tax to yeah reside here temporarily uh just so that I can walk right across to just so that I can walk right across to just so that I can walk right across to the Venetian you know and it's actually the Venetian you know and it's actually the Venetian you know and it's actually kind of worth it because you know this kind of worth it because you know this kind of worth it because you know this the stuff is so spread out you know yeah the stuff is so spread out you know yeah the stuff is so spread out you know yeah the transportation is it's just I took the transportation is it's just I took the transportation is it's just I took the Montreal last time I was there that the Montreal last time I was there that the Montreal last time I was there that wasn't super helpful just in between wasn't super helpful just in between wasn't super helpful just in between stops though it's so hard to get to that stops though it's so hard to get to that stops though it's so hard to get to that montre rail but you know from where you montre rail but you know from where you montre rail but you know from where you are sometimes I'm at the Marriott over are sometimes I'm at the Marriott over are sometimes I'm at the Marriott over on Haron and you I got to walk to MGM to on Haron and you I got to walk to MGM to on Haron and you I got to walk to MGM to get to the station so I just hired a a get to the station so I just hired a a get to the station so I just hired a a car service for the whole week oh $100 a day I don't have to pay Uber oh $100 a day I don't have to pay Uber and I just they pick me up wherever I and I just they pick me up wherever I and I just they pick me up wherever I tell them to pick me up and we go yeah tell them to pick me up and we go yeah tell them to pick me up and we go yeah wow but that's supposed to be a Formula wow but that's supposed to be a Formula wow but that's supposed to be a Formula One race track now so you should be able One race track now so you should be able One race track now so you should be able to go fast between to go fast between to go fast between hotels yeah right te it down too bad hotels yeah right te it down too bad hotels yeah right te it down too bad to dig some more holes that would be to dig some more holes that would be to dig some more holes that would be better yeah well you know they're they better yeah well you know they're they better yeah well you know they're they dis disassembled a lot of the grand dis disassembled a lot of the grand dis disassembled a lot of the grand stands and Framing and you know like the stands and Framing and you know like the stands and Framing and you know like the the the freaking whatever the hell you the the freaking whatever the hell you the the freaking whatever the hell you call it around the city that just made call it around the city that just made call it around the city that just made everything look everything look everything look terrible um yeah but I don't think terrible um yeah but I don't think terrible um yeah but I don't think they're done yet but I mean think about they're done yet but I mean think about they're done yet but I mean think about it it takes them like uh I think about it it takes them like uh I think about it it takes them like uh I think about two month about a month we came out from two month about a month we came out from two month about a month we came out from war Congress they were start they were war Congress they were start they were war Congress they were start they were working on it and in the show before working on it and in the show before working on it and in the show before that Channel partner show they no the that Channel partner show they no the that Channel partner show they no the beginning of December when I was here beginning of December when I was here beginning of December when I was here for

for for aw uh they were they were tearing down aw uh they were they were tearing down aw uh they were they were tearing down and it's they're still working on it so and it's they're still working on it so and it's they're still working on it so yeah but uh hey so what are you guys yeah but uh hey so what are you guys yeah but uh hey so what are you guys saying so what what what's kind of um SE saying so what what what's kind of um SE saying so what what what's kind of um SE to the top for you guys as you're you're to the top for you guys as you're you're to the top for you guys as you're you're observing from observing from observing from afar well one thing I saw was um I afar well one thing I saw was um I afar well one thing I saw was um I noticed that it's a lot less of an noticed that it's a lot less of an noticed that it's a lot less of an automotive show this year automotive show this year automotive show this year uh that's good yeah I guess General uh that's good yeah I guess General uh that's good yeah I guess General Motors isn't there santis isn't there I Motors isn't there santis isn't there I Motors isn't there santis isn't there I mean it used to be a big it was that was mean it used to be a big it was that was mean it used to be a big it was that was the hot area was the car area that Hall the hot area was the car area that Hall the hot area was the car area that Hall and so it's interesting to see that Mary and so it's interesting to see that Mary and so it's interesting to see that Mary bar was actually the keynote of there a bar was actually the keynote of there a bar was actually the keynote of there a couple years ago and now from the cogm couple years ago and now from the cogm couple years ago and now from the cogm and now it's really yeah shifted or and now it's really yeah shifted or and now it's really yeah shifted or deined in the automotive thing there's a deined in the automotive thing there's a deined in the automotive thing there's a lot but what I did see um even in the lot but what I did see um even in the lot but what I did see um even in the North Hall some really North Hall some really North Hall some really weird company named electric cars and weird company named electric cars and weird company named electric cars and trucks sure some these oneoff guys that trucks sure some these oneoff guys that trucks sure some these oneoff guys that are building the world's best electric are building the world's best electric are building the world's best electric delivery truck yeah weird equals Chinese delivery truck yeah weird equals Chinese delivery truck yeah weird equals Chinese I don't say that no actually one of them I don't say that no actually one of them I don't say that no actually one of them well some of them were two of the trucks well some of them were two of the trucks well some of them were two of the trucks were were were Honda Honda Honda okay I did say you could drive a Honda okay I did say you could drive a Honda okay I did say you could drive a Honda with a PS5 with a PS5 with a PS5 controller yeah so that's the Sony and controller yeah so that's the Sony and controller yeah so that's the Sony and Honda well you can drive submarines with

Honda well you can drive submarines with Honda well you can drive submarines with them you knows that well Virginia also them you knows that well Virginia also them you knows that well Virginia also Honda had the uh Honda had an EV that Honda had the uh Honda had an EV that Honda had the uh Honda had an EV that had a uh LED display in the bumper and had a uh LED display in the bumper and had a uh LED display in the bumper and you could you could put messages on you could you could put messages on you could you could put messages on there or whatever I thought it would be there or whatever I thought it would be there or whatever I thought it would be good for doing like as a side hustle so good for doing like as a side hustle so good for doing like as a side hustle so you could sell ads you know you could sell ads you know you could sell ads you know yeah I just wanted to say get the hell yeah I just wanted to say get the hell yeah I just wanted to say get the hell out of my way yeah well I was gon to say out of my way yeah well I was gon to say out of my way yeah well I was gon to say it probably would Beed for road rage it probably would Beed for road rage it probably would Beed for road rage more than anything else I more than anything else I more than anything else I know I could I could definitely use that know I could I could definitely use that know I could I could definitely use that to my frustration especially with to my frustration especially with to my frustration especially with California drivers oh yeah you California drivers oh yeah you California drivers oh yeah you got you could sort of pre-program the got you could sort of pre-program the got you could sort of pre-program the buttons on your dashboard ex messages buttons on your dashboard ex messages buttons on your dashboard ex messages and I want the controller for and I want the controller for and I want the controller for that I saw that that was interesting but that I saw that that was interesting but that I saw that that was interesting but yeah Automotive seemed to be a lot less yeah Automotive seemed to be a lot less yeah Automotive seemed to be a lot less that there's all I don't know if you saw that there's all I don't know if you saw that there's all I don't know if you saw the rabbit R1 device down there that the rabbit R1 device down there that the rabbit R1 device down there that seems to be a hot item it's like a it's seems to be a hot item it's like a it's seems to be a hot item it's like a it's like a handheld device that you talk like a handheld device that you talk like a handheld device that you talk into and has a camera and it and it does into and has a camera and it and it does into and has a camera and it and it does like all kinds of AI um tasks for you um like all kinds of AI um tasks for you um like all kinds of AI um tasks for you um and they had a he was on stage it's big and they had a he was on stage it's big and they had a he was on stage it's big big news today you should look it up I big news today you should look it up I big news today you should look it up I don't know if you could see it in person don't know if you could see it in person don't know if you could see it in person it's called the rabbit R1 rabbit R1 yeah it's called the rabbit R1 rabbit R1 yeah it's called the rabbit R1 rabbit R1 yeah and you can train it to do all kinds of and you can train it to do all kinds of and you can train it to do all kinds of like kind of phone smartphone type tasks like kind of phone smartphone type tasks like kind of phone smartphone type tasks and you know it'll run apps for you and and you know it'll run apps for you and and you know it'll run apps for you and do you know run you can say run Spotify do you know run you can say run Spotify do you know run you can say run Spotify and play this and do that and so it's and play this and do that and so it's and play this and do that and so it's kind of interesting that there's no kind of interesting that there's no kind of interesting that there's no screen per se uh so it's this kind of a screen per se uh so it's this kind of a screen per se uh so it's this kind of a weird UI but it's a it's like an AI weird UI but it's a it's like an AI weird UI but it's a it's like an AI audio visual device

audio visual device audio visual device that rabit that was one of the first iot that rabit that was one of the first iot that rabit that was one of the first iot connected devices that had that uh years connected devices that had that uh years connected devices that had that uh years that were moving yeah the Naas tag I that were moving yeah the Naas tag I that were moving yeah the Naas tag I have one navag yes yeah and actually have one navag yes yeah and actually have one navag yes yeah and actually some some of the French guy repurpose it some some of the French guy repurpose it some some of the French guy repurpose it so you can buy a new board and it so you can buy a new board and it so you can buy a new board and it actually connects of Steel weather actually connects of Steel weather actually connects of Steel weather services and kind of stuff and I still I services and kind of stuff and I still I services and kind of stuff and I still I also have a new miniel emulator and the also have a new miniel emulator and the also have a new miniel emulator and the two can talk to each other so I'm back two can talk to each other so I'm back two can talk to each other so I'm back 20 years 20 25 years ago the it was the 20 years 20 25 years ago the it was the 20 years 20 25 years ago the it was the beginning of iot it's a funny thing yeah beginning of iot it's a funny thing yeah beginning of iot it's a funny thing yeah yeah yeah actually you could connect yeah yeah actually you could connect yeah yeah actually you could connect that with the newspaper news and then that with the newspaper news and then that with the newspaper news and then say if there is a news from I don't know say if there is a news from I don't know say if there is a news from I don't know your favorite team and it wins just move your favorite team and it wins just move your favorite team and it wins just move the ears like these or put the ears on the ears like these or put the ears on the ears like these or put the ears on that that that color like fory old device color like fory old device color like fory old device that W remind me that I think you just that W remind me that I think you just that W remind me that I think you just kind of laid bare right there Mark why kind of laid bare right there Mark why kind of laid bare right there Mark why iot has been such a disaster that's that iot has been such a disaster that's that iot has been such a disaster that's that personifies what it started at and where personifies what it started at and where personifies what it started at and where it ended it's just some rabbit ears that it ended it's just some rabbit ears that it ended it's just some rabbit ears that go go go crazy wow I was wondering why crazy wow I was wondering why crazy wow I was wondering why everybody's not a trillionaire already everybody's not a trillionaire already everybody's not a trillionaire already well it's just some stupid rabbit if well it's just some stupid rabbit if well it's just some stupid rabbit if this and that thing this and that thing this and that thing awesome awesome awesome absolutely the only difference Rob is absolutely the only difference Rob is absolutely the only difference Rob is that this new rabbit is probably connect that this new rabbit is probably connect that this new rabbit is probably connect of of of data that would be resold and have food data that would be resold and have food data that would be resold and have food and and and stuff you know um yeah it is a bit of a stuff you know um yeah it is a bit of a stuff you know um yeah it is a bit of a it is less of a car show um but it's

it is less of a car show um but it's it is less of a car show um but it's more of a sdv or softwar defined vehicle more of a sdv or softwar defined vehicle more of a sdv or softwar defined vehicle show that's true and um I I I think the show that's true and um I I I think the show that's true and um I I I think the way to interpret this is that a lot of way to interpret this is that a lot of way to interpret this is that a lot of the um you know the incumbent brands or the um you know the incumbent brands or the um you know the incumbent brands or the Legacy brands are not here right the Legacy brands are not here right the Legacy brands are not here right like you said um like you said um like you said um Pete that uh GM Ford others are not here Pete that uh GM Ford others are not here Pete that uh GM Ford others are not here but you do have a lot of Chinese Brands but you do have a lot of Chinese Brands but you do have a lot of Chinese Brands South Korean Brands and now uh there's a South Korean Brands and now uh there's a South Korean Brands and now uh there's a company called vinfast out of Vietnam company called vinfast out of Vietnam company called vinfast out of Vietnam right they're here and um you know uh right they're here and um you know uh right they're here and um you know uh it's weird I had a I had some it's weird I had a I had some it's weird I had a I had some conversations with uh uh several conversations with uh uh several conversations with uh uh several semiconductor companies Executives about semiconductor companies Executives about semiconductor companies Executives about this and um yeah the the adoption is this and um yeah the the adoption is this and um yeah the the adoption is happening with the new happening with the new happening with the new unencumbered uh emerging Farm unencumbered uh emerging Farm unencumbered uh emerging Farm manufacturers that are focused on EVs manufacturers that are focused on EVs manufacturers that are focused on EVs and you know the Japanese guys aren't and you know the Japanese guys aren't and you know the Japanese guys aren't here either right I mean Toyota's not here either right I mean Toyota's not here either right I mean Toyota's not here toot um Nissan's not here H's here here toot um Nissan's not here H's here here toot um Nissan's not here H's here but but they're into Robotics and all but but they're into Robotics and all but but they're into Robotics and all this other stuff so they make a presence this other stuff so they make a presence this other stuff so they make a presence right but uh Hundai I I think the South right but uh Hundai I I think the South right but uh Hundai I I think the South Koreans are making a they're basically Koreans are making a they're basically Koreans are making a they're basically taking the role of the Japanese taking the role of the Japanese taking the role of the Japanese automakers right yeah in like 2017 it automakers right yeah in like 2017 it automakers right yeah in like 2017 it was all about the Japanese automakers was all about the Japanese automakers was all about the Japanese automakers you know Toyota made a huge Splash and I

you know Toyota made a huge Splash and I you know Toyota made a huge Splash and I think they really pioneered this whole think they really pioneered this whole think they really pioneered this whole um you um you um you know I guess invasion of Automotive at know I guess invasion of Automotive at know I guess invasion of Automotive at CES but now I mean like they got they CES but now I mean like they got they CES but now I mean like they got they have like Hundai heavy Industries here have like Hundai heavy Industries here have like Hundai heavy Industries here with freaking gigantic you know robotic with freaking gigantic you know robotic with freaking gigantic you know robotic uh uh uh autonomous autonomous autonomous yeah I thought you you know it's like yeah I thought you you know it's like yeah I thought you you know it's like what's this doing here well it's the what's this doing here well it's the what's this doing here well it's the same thing like you know last year we same thing like you know last year we same thing like you know last year we had um joh had that had that monster that was the thing that almost monster that was the thing that almost like the singular thing that Rob talked like the singular thing that Rob talked like the singular thing that Rob talked about last year remember they did they about last year remember they did they about last year remember they did they did the keynote last year that's right did the keynote last year that's right did the keynote last year that's right exactly yeah this year I think it's exactly yeah this year I think it's exactly yeah this year I think it's seens uh talking about industrial seens uh talking about industrial seens uh talking about industrial metaverse yeah metaverse yeah metaverse yeah not to talk about I thought we already K yeah I saw an article today about byd K yeah I saw an article today about byd speaking of car manufacturers you know speaking of car manufacturers you know speaking of car manufacturers you know byd which is now overtaking byd which is now overtaking byd which is now overtaking Tesla uh they sold last year in China Tesla uh they sold last year in China Tesla uh they sold last year in China more EVS than all the US market combined more EVS than all the US market combined more EVS than all the US market combined just byd they started as a battery just byd they started as a battery just byd they started as a battery company not too long ago they were a company not too long ago they were a company not too long ago they were a battery company and basically that was battery company and basically that was battery company and basically that was their thing they were really inovative their thing they were really inovative their thing they were really inovative in the battery so it's almost like the in the battery so it's almost like the in the battery so it's almost like the car has become the vehicle no pun car has become the vehicle no pun car has become the vehicle no pun intended for the for the tech you know intended for the for the tech you know intended for the for the tech you know so it's like I have a a nice you know so it's like I have a a nice you know so it's like I have a a nice you know battery platform with tech you know rap

battery platform with tech you know rap battery platform with tech you know rap it they they actually bought a car it they they actually bought a car it they they actually bought a car company like a failing car company and company like a failing car company and company like a failing car company and then they got into the car business then they got into the car business then they got into the car business through them so and now boid is number through them so and now boid is number through them so and now boid is number one so it'll be interesting to see like one so it'll be interesting to see like one so it'll be interesting to see like they'll be the next Hyundai and Kia in they'll be the next Hyundai and Kia in they'll be the next Hyundai and Kia in the US so these companies that are not the US so these companies that are not the US so these companies that are not encumbered like the like the big three encumbered like the like the big three encumbered like the like the big three with their legacy issues um I think are with their legacy issues um I think are with their legacy issues um I think are G to move really fast and have some G to move really fast and have some G to move really fast and have some pretty amazing platforms yeah hey you pretty amazing platforms yeah hey you pretty amazing platforms yeah hey you know like 20 I think it was like 2016 17 know like 20 I think it was like 2016 17 know like 20 I think it was like 2016 17 when I was in uh in China I was in when I was in uh in China I was in when I was in uh in China I was in Shenzhen they had they have byd um Shenzhen they had they have byd um Shenzhen they had they have byd um electric vehicles all over the place electric vehicles all over the place electric vehicles all over the place charging and yeah you know of all the charging and yeah you know of all the charging and yeah you know of all the car companies in the world I think car companies in the world I think car companies in the world I think they're the only ones that have they're the only ones that have they're the only ones that have surviv in uh made waves or had you know surviv in uh made waves or had you know surviv in uh made waves or had you know kind of developed significant Presence kind of developed significant Presence kind of developed significant Presence by working from the bottom up right by working from the bottom up right by working from the bottom up right because now when you look at their cars because now when you look at their cars because now when you look at their cars they're all like premium level but they're all like premium level but they're all like premium level but somehow you know with the battery they somehow you know with the battery they somehow you know with the battery they kind of entered in with the battery and kind of entered in with the battery and kind of entered in with the battery and then moved their way up and I you know then moved their way up and I you know then moved their way up and I you know that's kind of rare right because Tesla that's kind of rare right because Tesla that's kind of rare right because Tesla went from the top down and really went from the top down and really went from the top down and really supercharged no pun intended uh they supercharged no pun intended uh they supercharged no pun intended uh they movement movement movement right on the market too like in the US I right on the market too like in the US I right on the market too like in the US I think only economy cars are only about think only economy cars are only about think only economy cars are only about 2% of the market in the US it's all 2% of the market in the US it's all 2% of the market in the US it's all trucks and SUVs and stuff so it'll be trucks and SUVs and stuff so it'll be trucks and SUVs and stuff so it'll be interesting for any of these Brands to interesting for any of these Brands to interesting for any of these Brands to break into the US they'll have to do a

break into the US they'll have to do a break into the US they'll have to do a rivan or something they have it yeah rivan or something they have it yeah rivan or something they have it yeah xang they have like a freaking uh uh you xang they have like a freaking uh uh you xang they have like a freaking uh uh you know cyber truck knockoff right with a know cyber truck knockoff right with a know cyber truck knockoff right with a freaking drone like a flying like freaking drone like a flying like freaking drone like a flying like correct pod that you they correct pod that you they correct pod that you they are they selling a lot of cars or not are they selling a lot of cars or not are they selling a lot of cars or not yet or they are still not proding yet or they are still not proding yet or they are still not proding rivan rivan about rivan rivan about rivan rivan about 15,000 not 15,000 not 15,000 not much losing a losing a lot of money yeah much losing a losing a lot of money yeah much losing a losing a lot of money yeah per per per unit unit unit 30,000 I think you know there's that 30,000 I think you know there's that 30,000 I think you know there's that other news source X and where I've read other news source X and where I've read other news source X and where I've read two news deals about rivan one was a two news deals about rivan one was a two news deals about rivan one was a maybe one was like a Microsoft list maybe one was like a Microsoft list maybe one was like a Microsoft list where I was talking about where I was talking about where I was talking about how he had his just back windshield you how he had his just back windshield you how he had his just back windshield you know on his rivan truck blew out and he know on his rivan truck blew out and he know on his rivan truck blew out and he went to get it fixed you know and went to get it fixed you know and went to get it fixed you know and originally safe flight said oh yeah originally safe flight said oh yeah originally safe flight said oh yeah we'll do it for $49 it's no big deal and we'll do it for $49 it's no big deal and we'll do it for $49 it's no big deal and then they realized they couldn't do it then they realized they couldn't do it then they realized they couldn't do it and they said you're going to have to and they said you're going to have to and they said you're going to have to have the manufacturer do it I think have the manufacturer do it I think have the manufacturer do it I think rivan said it was going to be like over rivan said it was going to be like over rivan said it was going to be like over $4,000 to replace the back glass then $4,000 to replace the back glass then $4,000 to replace the back glass then the very next day there was another news the very next day there was another news the very next day there was another news deal where a guy needed to have this deal where a guy needed to have this deal where a guy needed to have this grill or something replaced on this grill or something replaced on this grill or something replaced on this rivan and it was like rivan and it was like rivan and it was like $9,000 and so the takeaway was this is a $9,000 and so the takeaway was this is a $9,000 and so the takeaway was this is a ridiculous car it it there was like all ridiculous car it it there was like all ridiculous car it it there was like all these stories about what a disaster it these stories about what a disaster it these stories about what a disaster it is because it might be expensive to buy is because it might be expensive to buy is because it might be expensive to buy but it's terribly expensive to own I but it's terribly expensive to own I but it's terribly expensive to own I guess goes

guess goes guess goes wrong that is part of the story is the wrong that is part of the story is the wrong that is part of the story is the ownership I those sound a little I ownership I those sound a little I ownership I those sound a little I wouldn't be surprised if those were wouldn't be surprised if those were wouldn't be surprised if those were Tesla sourced article Tesla sourced article Tesla sourced article probably also also expensive too but to probably also also expensive too but to probably also also expensive too but to give some love to somebody else give some love to somebody else give some love to somebody else Toyota someone else I don't know a bunch Toyota someone else I don't know a bunch Toyota someone else I don't know a bunch of VCS on X the other day someone posted of VCS on X the other day someone posted of VCS on X the other day someone posted and it started this giant thread if it and it started this giant thread if it and it started this giant thread if it was Armageddon into the world what's the was Armageddon into the world what's the was Armageddon into the world what's the one vehicle you would have to have to one vehicle you would have to have to one vehicle you would have to have to survive in this postapocalyptic world survive in this postapocalyptic world survive in this postapocalyptic world it's going to last the longest it wasn't it's going to last the longest it wasn't it's going to last the longest it wasn't even close uh Toyota for uh even close uh Toyota for uh even close uh Toyota for uh actually Land Cruiser was number one by actually Land Cruiser was number one by actually Land Cruiser was number one by far by far but even close uh and then far by far but even close uh and then far by far but even close uh and then the second place was Toyota 4Runner is a the second place was Toyota 4Runner is a the second place was Toyota 4Runner is a car that just keeps going no matter what car that just keeps going no matter what car that just keeps going no matter what oh yeah well if you look at like Latin oh yeah well if you look at like Latin oh yeah well if you look at like Latin America and stuff everyone buys that's America and stuff everyone buys that's America and stuff everyone buys that's the premium car to get in the premium car to get in the premium car to get in anything America anything America anything America is not not to stir the pot but then some is not not to stir the pot but then some is not not to stir the pot but then some people were going dude look who isis people were going dude look who isis people were going dude look who isis uses and all those militants in the uses and all those militants in the uses and all those militants in the Middle East they're all driving Toyota Middle East they're all driving Toyota Middle East they're all driving Toyota pickup trucks go yeah they're they're pickup trucks go yeah they're they're pickup trucks go yeah they're they're good machine gun platforms well I think good machine gun platforms well I think good machine gun platforms well I think I think those Toyota V are kind of like I think those Toyota V are kind of like I think those Toyota V are kind of like the the the AK-47 not AK-47 not AK-47 not not look look look I mean we're stating not look look look I mean we're stating not look look look I mean we're stating the obvious I mean you know you know so the obvious I mean you know you know so the obvious I mean you know you know so if people have trouble with it they if people have trouble with it they if people have trouble with it they should call all the media outlets and

should call all the media outlets and should call all the media outlets and tell them to blur out the brands of all tell them to blur out the brands of all tell them to blur out the brands of all the cars that are used in those videos the cars that are used in those videos the cars that are used in those videos right like those those yeah I mean come right like those those yeah I mean come right like those those yeah I mean come on we we're just stating the very on we we're just stating the very on we we're just stating the very obvious stting the OB obvious stting the OB obvious stting the OB yeah sounds like it feels like the EV yeah sounds like it feels like the EV yeah sounds like it feels like the EV the whole software defined vehicle thing the whole software defined vehicle thing the whole software defined vehicle thing is not just a transformation from is not just a transformation from is not just a transformation from combustion engine to Electric it's a combustion engine to Electric it's a combustion engine to Electric it's a transformation from unknown Brands you transformation from unknown Brands you transformation from unknown Brands you know non-car Brands it is Brands yeah know non-car Brands it is Brands yeah know non-car Brands it is Brands yeah one of the things I said I asked one of one of the things I said I asked one of one of the things I said I asked one of the guys that I think it's the name of the guys that I think it's the name of the guys that I think it's the name of the company was constellation they had the company was constellation they had the company was constellation they had the the two wannabe Hummer trucks that the the two wannabe Hummer trucks that the the two wannabe Hummer trucks that are electric and I said so how many are electric and I said so how many are electric and I said so how many dealerships do you have in the United dealerships do you have in the United dealerships do you have in the United States how do you support these things States how do you support these things States how do you support these things you know where if I need need a battery you know where if I need need a battery you know where if I need need a battery replacement where do I go yeah know replacement where do I go yeah know replacement where do I go yeah know exactly no answer go to the online exactly no answer go to the online exactly no answer go to the online portal you have to go to the online portal you have to go to the online portal you have to go to the online portal that's yeah they're almost like portal that's yeah they're almost like portal that's yeah they're almost like they're almost like those sub you know they're almost like those sub you know they're almost like those sub you know the the the the the the Android um you know smartphone Brands Android um you know smartphone Brands Android um you know smartphone Brands you know that numbered in the 10 in tens you know that numbered in the 10 in tens you know that numbered in the 10 in tens of thousands you know it's like long of thousands you know it's like long of thousands you know it's like long scale to really get uh long-term support scale to really get uh long-term support scale to really get uh long-term support you know these things are basically you know these things are basically you know these things are basically burner phones right you just throw throw burner phones right you just throw throw burner phones right you just throw throw away after year then get the next one away after year then get the next one away after year then get the next one but you can't do that with automobiles but you can't do that with automobiles but you can't do that with automobiles an Android phone company called an Android phone company called an Android phone company called longtail there you go but we'll put the longtail there you go but we'll put the longtail there you go but we'll put the other we'll put a tile interface on the other we'll put a tile interface on the other we'll put a tile interface on the Android phone yeah there you go on the

Android phone yeah there you go on the Android phone yeah there you go on the other other other end Microsoft we heard Microsoft is end Microsoft we heard Microsoft is end Microsoft we heard Microsoft is coming back yeah no on the other hand if coming back yeah no on the other hand if coming back yeah no on the other hand if they can get us out of the dealership they can get us out of the dealership they can get us out of the dealership model that would be a great progress model that would be a great progress model that would be a great progress because who likes dealerships I'm sorry because who likes dealerships I'm sorry because who likes dealerships I'm sorry yeah unfortunately dealerships got kind yeah unfortunately dealerships got kind yeah unfortunately dealerships got kind of get self-inflicted bad rep but U and of get self-inflicted bad rep but U and of get self-inflicted bad rep but U and which is you know Tesla it's one of the which is you know Tesla it's one of the which is you know Tesla it's one of the reasons why you can't buy a Tesla in reasons why you can't buy a Tesla in reasons why you can't buy a Tesla in Michigan I think is because it's a law Michigan I think is because it's a law Michigan I think is because it's a law that you have to buy a car through a that you have to buy a car through a that you have to buy a car through a dealer yeah and uh tetri you are leave dealer yeah and uh tetri you are leave dealer yeah and uh tetri you are leave it to Michigan to have a law like that it to Michigan to have a law like that it to Michigan to have a law like that but um you know that's that weird but um you know that's that weird but um you know that's that weird feeling you have when you drive onto a feeling you have when you drive onto a feeling you have when you drive onto a dealership lot and vultures come out of dealership lot and vultures come out of dealership lot and vultures come out of the deal out into the parking lot the deal out into the parking lot the deal out into the parking lot walking towards you I have a story I walking towards you I have a story I walking towards you I have a story I have a story on that just doing their have a story on that just doing their have a story on that just doing their job come job come job come on on on sales selling door to door we were sales selling door to door we were sales selling door to door we were shopping for a car for my wife a couple shopping for a car for my wife a couple shopping for a car for my wife a couple of years ago and and we took my daughter of years ago and and we took my daughter of years ago and and we took my daughter so we went to a bunch of dealership and so we went to a bunch of dealership and so we went to a bunch of dealership and she said wow those guys they look like she said wow those guys they look like she said wow those guys they look like this Italian MAFO movie guys you this Italian MAFO movie guys you this Italian MAFO movie guys you especially in California with the Black especially in California with the Black especially in California with the Black sunglasses the guy stand and he look sunglasses the guy stand and he look sunglasses the guy stand and he look like you just out of making a cry forun everyone has their dealership forun everyone has their dealership stories come on guys be nice they're stories come on guys be nice they're stories come on guys be nice they're just working for commission just working for commission just working for commission no that's the problem we went we went to no that's the problem we went we went to no that's the problem we went we went to buy a car problem we we went to buy a

buy a car problem we we went to buy a buy a car problem we we went to buy a car when we were doing poty training for car when we were doing poty training for car when we were doing poty training for Carla so so the so the dealer the Carla so so the so the dealer the Carla so so the so the dealer the sellers done want to stay a lot of time sellers done want to stay a lot of time sellers done want to stay a lot of time with us so get them out of here exactly with us so get them out of here exactly with us so get them out of here exactly please go oh my gosh okay so what else please go oh my gosh okay so what else please go oh my gosh okay so what else are you seeing there but one question are you seeing there but one question are you seeing there but one question about electric cars uh do you think we about electric cars uh do you think we about electric cars uh do you think we will have a like a 600 miles battery will have a like a 600 miles battery will have a like a 600 miles battery soon or or this is solate in the short soon or or this is solate in the short soon or or this is solate in the short term solid state battery is probably term solid state battery is probably term solid state battery is probably where it's at I don't know about the where it's at I don't know about the where it's at I don't know about the battery I I think the battery I I think the battery I I think the car it's not the battery is more about car it's not the battery is more about car it's not the battery is more about the car like design factor right so well the car like design factor right so well the car like design factor right so well it's also the there's the currently used it's also the there's the currently used it's also the there's the currently used the lithium ion polymer battery which is the lithium ion polymer battery which is the lithium ion polymer battery which is liquid and now there's I know Toyota liquid and now there's I know Toyota liquid and now there's I know Toyota speaking of Toyota theyve been speaking of Toyota theyve been speaking of Toyota theyve been pioneering this Solid State Battery tech pioneering this Solid State Battery tech pioneering this Solid State Battery tech which is a significant Lea frog in which is a significant Lea frog in which is a significant Lea frog in capacity and I think it's more of like a capacity and I think it's more of like a capacity and I think it's more of like a 26 27 thing but I think in the next you 26 27 thing but I think in the next you 26 27 thing but I think in the next you know few years you'll see a pretty big know few years you'll see a pretty big know few years you'll see a pretty big leap in in U in density and capacity in leap in in U in density and capacity in leap in in U in density and capacity in some of these batteries so you won't some of these batteries so you won't some of these batteries so you won't have to you'll be able to get 600 miles have to you'll be able to get 600 miles have to you'll be able to get 600 miles plus with you know probably even a plus with you know probably even a plus with you know probably even a smaller battery than today using the smaller battery than today using the smaller battery than today using the solid state as opposed to the the liquid solid state as opposed to the the liquid solid state as opposed to the the liquid polymer that and so your a long time polymer that and so your a long time polymer that and so your a long time yeah to your point Pete I think you you yeah to your point Pete I think you you yeah to your point Pete I think you you made a great comment on saying that you made a great comment on saying that you made a great comment on saying that you know you can see those kind of battery know you can see those kind of battery know you can see those kind of battery companies going into the car companies going into the car companies going into the car manufacturer space because it's still

manufacturer space because it's still manufacturer space because it's still the critical component so if you're a the critical component so if you're a the critical component so if you're a believer of the crossing the CM Jeffrey believer of the crossing the CM Jeffrey believer of the crossing the CM Jeffrey Moore thing if you're a battery company Moore thing if you're a battery company Moore thing if you're a battery company right now you probably want to use the right now you probably want to use the right now you probably want to use the car industry your kind of a you know car industry your kind of a you know car industry your kind of a you know Crossing the chasm use case and on that Crossing the chasm use case and on that Crossing the chasm use case and on that note this morning I wanted to prepare note this morning I wanted to prepare note this morning I wanted to prepare and look a little bit about CS but I and look a little bit about CS but I and look a little bit about CS but I started running Business Insider and I started running Business Insider and I started running Business Insider and I see this headline AI discovered a new see this headline AI discovered a new see this headline AI discovered a new material for material for material for batteries so yeah so actually when you batteries so yeah so actually when you batteries so yeah so actually when you read the article is a bunch of read the article is a bunch of read the article is a bunch of researchers that use AI to narrow it researchers that use AI to narrow it researchers that use AI to narrow it down to new material so actually I wrote down to new material so actually I wrote down to new material so actually I wrote to the journalist saying hey we are in a to the journalist saying hey we are in a to the journalist saying hey we are in a word of generative AI so words and word of generative AI so words and word of generative AI so words and language matter don't put an headline language matter don't put an headline language matter don't put an headline that is stupid because the didn't woke that is stupid because the didn't woke that is stupid because the didn't woke up and and said oh I'm going to create a up and and said oh I'm going to create a up and and said oh I'm going to create a new material for Batteries but some new material for Batteries but some new material for Batteries but some people use the as a tool so again people use the as a tool so again people use the as a tool so again closing back to your point Pete there is closing back to your point Pete there is closing back to your point Pete there is a lot of innovation expected in the a lot of innovation expected in the a lot of innovation expected in the battery space the battery takes a long battery space the battery takes a long battery space the battery takes a long time though because the other issue that time though because the other issue that time though because the other issue that I don't know what is the latest research I don't know what is the latest research I don't know what is the latest research on that maybe you guys know but the the on that maybe you guys know but the the on that maybe you guys know but the the because my wife has a small electric car because my wife has a small electric car because my wife has a small electric car so it's supposed to do 270 miles the way so it's supposed to do 270 miles the way so it's supposed to do 270 miles the way I drive I barely do 120 okay and also I drive I barely do 120 okay and also I drive I barely do 120 okay and also it's when it's warm so the the the it's when it's warm so the the the it's when it's warm so the the the environmental I mean I mean the the environmental I mean I mean the the environmental I mean I mean the the context Factor on you know how context Factor on you know how context Factor on you know how aggressive you drive and what is the aggressive you drive and what is the aggressive you drive and what is the temperature and cold seems to still have temperature and cold seems to still have temperature and cold seems to still have an enormous impact on the yeah weather an enormous impact on the yeah weather an enormous impact on the yeah weather degrees in Vegas I think you're not degrees in Vegas I think you're not degrees in Vegas I think you're not gonna get your mileage yeah you know gonna get your mileage yeah you know gonna get your mileage yeah you know it's you know it's not going to

it's you know it's not going to it's you know it's not going to be viable be viable be viable everywhere um it's just not I mean I everywhere um it's just not I mean I everywhere um it's just not I mean I think that's an ackn there's a lot of think that's an ackn there's a lot of think that's an ackn there's a lot of acknowledgement here and so what are acknowledgement here and so what are acknowledgement here and so what are seeing seeing seeing is you're seeing a lot of companies that is you're seeing a lot of companies that is you're seeing a lot of companies that are bringing are bringing are bringing alternative um you know Solutions like alternative um you know Solutions like alternative um you know Solutions like hydrogen uh silicon carbide these uh you hydrogen uh silicon carbide these uh you hydrogen uh silicon carbide these uh you know I think um hydrogen is really the know I think um hydrogen is really the know I think um hydrogen is really the big one right everyone's talking about big one right everyone's talking about big one right everyone's talking about uh which is weird but then when you go uh which is weird but then when you go uh which is weird but then when you go and you look at you watch presentations and you look at you watch presentations and you look at you watch presentations you guys you have guys like Hyundai who you guys you have guys like Hyundai who you guys you have guys like Hyundai who have all this like indust Ral heft uh have all this like indust Ral heft uh have all this like indust Ral heft uh probably having to use a lot of that to probably having to use a lot of that to probably having to use a lot of that to make uh these new Mo these uh models of make uh these new Mo these uh models of make uh these new Mo these uh models of uh energy work for the Auto industry you uh energy work for the Auto industry you uh energy work for the Auto industry you know and you know I I just don't think know and you know I I just don't think know and you know I I just don't think actually kind of have that and because actually kind of have that and because actually kind of have that and because they you know they don't just make cars they you know they don't just make cars they you know they don't just make cars they also have all this industrial Tech they also have all this industrial Tech they also have all this industrial Tech that they're starting to Showcase here that they're starting to Showcase here that they're starting to Showcase here not only on a sustainability front but I not only on a sustainability front but I not only on a sustainability front but I mean that sustainability topic has mean that sustainability topic has mean that sustainability topic has become very very Broad and I think it's become very very Broad and I think it's become very very Broad and I think it's that's what's really bringing in a lot that's what's really bringing in a lot that's what's really bringing in a lot of the industrial stuff and then I I of the industrial stuff and then I I of the industrial stuff and then I I really don't I still really don't get really don't I still really don't get really don't I still really don't get the like Earth movers and I like why the like Earth movers and I like why the like Earth movers and I like why what just eye candy it's just it's just what just eye candy it's just it's just what just eye candy it's just it's just eye candy probably just like a good it's eye candy probably just like a good it's eye candy probably just like a good it's a good marketing thing be like oh it's a

a good marketing thing be like oh it's a a good marketing thing be like oh it's a giant machine here everyone loves giant giant machine here everyone loves giant giant machine here everyone loves giant machines you know exactly publicity Stu machines you know exactly publicity Stu machines you know exactly publicity Stu it's a it's a massive site I tell you it's a it's a massive site I tell you it's a it's a massive site I tell you that when you turn around and you look that when you turn around and you look that when you turn around and you look at you go yeah I mean it's pretty cool at you go yeah I mean it's pretty cool at you go yeah I mean it's pretty cool how the hell did you get it in here how the hell did you get it in here how the hell did you get it in here exactly last year that was the that was exactly last year that was the that was exactly last year that was the that was the thing I was like man how did you the thing I was like man how did you the thing I was like man how did you even drive it down the street trip right even drive it down the street trip right even drive it down the street trip right how'd you get it in here yeah right how'd you get it in here yeah right how'd you get it in here yeah right right next to the F1 car yeah there you right next to the F1 car yeah there you right next to the F1 car yeah there you go well I do want to say something to go well I do want to say something to go well I do want to say something to iot Coffee Talk world out there if there iot Coffee Talk world out there if there iot Coffee Talk world out there if there is something that you see online and is something that you see online and is something that you see online and you're not here and you want us to go you're not here and you want us to go you're not here and you want us to go check it out just send Leonard or i a check it out just send Leonard or i a check it out just send Leonard or i a text message or an email and we'll go text message or an email and we'll go text message or an email and we'll go look at it uh like I you know that I got look at it uh like I you know that I got look at it uh like I you know that I got that's I have time on my not a lot of that's I have time on my not a lot of that's I have time on my not a lot of time but if there's something that's time but if there's something that's time but if there's something that's really yeah Earth moving that people really yeah Earth moving that people really yeah Earth moving that people want to see no pun intended a lot of want to see no pun intended a lot of want to see no pun intended a lot of untended puns yeah I untended puns yeah I untended puns yeah I know true yeah and I think the rabbit know true yeah and I think the rabbit know true yeah and I think the rabbit one's pretty cool then of course you got one's pretty cool then of course you got one's pretty cool then of course you got to tell us all about all the amazing new to tell us all about all the amazing new to tell us all about all the amazing new AI PCS that have been announced because AI PCS that have been announced because AI PCS that have been announced because you know God talk about Earth you know God talk about Earth you know God talk about Earth moving yeah yeah so the big Squatch of moving yeah yeah so the big Squatch of moving yeah yeah so the big Squatch of this event is the aipc because this event is the aipc because this event is the aipc because everyone's wondering what it is and everyone's wondering what it is and everyone's wondering what it is and where it is well I mean it's there but where it is well I mean it's there but where it is well I mean it's there but we don't know where it is yeah the we don't know where it is yeah the we don't know where it is yeah the purose is elusive purose is elusive purose is elusive andat a andat a andat a bigot thing yeah lost in the met but you bigot thing yeah lost in the met but you bigot thing yeah lost in the met but you know you know it's it's weird so with

know you know it's it's weird so with know you know it's it's weird so with all the generative AI talk this all the generative AI talk this all the generative AI talk this conferences so far been very AI light conferences so far been very AI light conferences so far been very AI light there's lot in the marketing and in on there's lot in the marketing and in on there's lot in the marketing and in on the booth signage and things like that the booth signage and things like that the booth signage and things like that where AI is mentioned but when you go where AI is mentioned but when you go where AI is mentioned but when you go under the covers they don't even they under the covers they don't even they under the covers they don't even they don't even just know what they're don't even just know what they're don't even just know what they're talking about like you know and I told talking about like you know and I told talking about like you know and I told this one this one this one company U because they said oh you know company U because they said oh you know company U because they said oh you know do XYZ with generative AI I told them do XYZ with generative AI I told them do XYZ with generative AI I told them hey look you know it's okay to you know hey look you know it's okay to you know hey look you know it's okay to you know you don't need AI to do really really you don't need AI to do really really you don't need AI to do really really cool cool cool stuff and I'm here listen to your you stuff and I'm here listen to your you stuff and I'm here listen to your you know your run through of your demo know your run through of your demo know your run through of your demo impressed but completely distracted and impressed but completely distracted and impressed but completely distracted and disappointed by that statement that this disappointed by that statement that this disappointed by that statement that this is generative AI XYZ it's it has almost is generative AI XYZ it's it has almost is generative AI XYZ it's it has almost an insignificant function in what your an insignificant function in what your an insignificant function in what your application does you know and so there's application does you know and so there's application does you know and so there's just so much of that and that should just so much of that and that should just so much of that and that should bother the hell of out out of a lot of bother the hell of out out of a lot of bother the hell of out out of a lot of people who are going around saying this people who are going around saying this people who are going around saying this is going to transform the world I mean is going to transform the world I mean is going to transform the world I mean yeah does some cool little things but I yeah does some cool little things but I yeah does some cool little things but I mean I I went to a particular mean I I went to a particular mean I I went to a particular semiconductor company's booth and uh semiconductor company's booth and uh semiconductor company's booth and uh checked out the checked out the checked out the co-pilot the co-pilot and I showed how co-pilot the co-pilot and I showed how co-pilot the co-pilot and I showed how this thing hallucinates like this thing hallucinates like this thing hallucinates like crazy right in front of they they just crazy right in front of they they just crazy right in front of they they just had a oh look on their face and then I

had a oh look on their face and then I had a oh look on their face and then I left then you I was like yeah this is left then you I was like yeah this is left then you I was like yeah this is why you're that button is probably going why you're that button is probably going why you're that button is probably going to disappear to disappear to disappear you know I mean did you leave by telling you know I mean did you leave by telling you know I mean did you leave by telling them goodbye humans huh goodbye them goodbye humans huh goodbye them goodbye humans huh goodbye humans I didn't hear that you know what humans I didn't hear that you know what humans I didn't hear that you know what Demitri I'll tell you something right Demitri I'll tell you something right Demitri I'll tell you something right now for us your your voice frequency is now for us your your voice frequency is now for us your your voice frequency is like at a perfect you know um I don't like at a perfect you know um I don't like at a perfect you know um I don't know what they call it yeah where we know what they call it yeah where we know what they call it yeah where we can't hear you it's weird that's weird I can't hear you it's weird that's weird I can't hear you it's weird that's weird I think you got a lot of low end I think think you got a lot of low end I think think you got a lot of low end I think on your voice yeah you have a lot of low on your voice yeah you have a lot of low on your voice yeah you have a lot of low end dude end dude end dude what was it what was the statement what what was it what was the statement what what was it what was the statement what did he say did you leave say did you leave and what's and what's and what's happening did you leave by saying happening did you leave by saying happening did you leave by saying goodbye goodbye goodbye humans yeah goodbye newans humans humans yeah goodbye newans humans humans yeah goodbye newans humans because you were talking about oh because you were talking about oh because you were talking about oh goodbye humans yeah no I just walked I dropped humans yeah no I just walked I dropped the mic and I left yeah the mic and I left yeah the mic and I left yeah yeah no there's a lot of AI washing yeah no there's a lot of AI washing yeah no there's a lot of AI washing going on and it's uh eventually it'll going on and it's uh eventually it'll going on and it's uh eventually it'll it'll hopefully hopefully justifiably it'll hopefully hopefully justifiably it'll hopefully hopefully justifiably kick back because there is a lot of real kick back because there is a lot of real kick back because there is a lot of real Innovation going on and unfortunately Innovation going on and unfortunately Innovation going on and unfortunately when people start slapping Ai and when people start slapping Ai and when people start slapping Ai and everything then the folks that are everything then the folks that are everything then the folks that are really innovating kind of get ripped off really innovating kind of get ripped off really innovating kind of get ripped off a little bit so that's unfortunate no I a little bit so that's unfortunate no I a little bit so that's unfortunate no I mean I think a lot of benefit is going mean I think a lot of benefit is going mean I think a lot of benefit is going to happen in the AI space just from the

to happen in the AI space just from the to happen in the AI space just from the compute side and you know I where did I compute side and you know I where did I compute side and you know I where did I mention it I mentioned it at the mention it I mentioned it at the mention it I mentioned it at the beginning of the year beginning of the year beginning of the year uh I think it was like on our episode uh I think it was like on our episode uh I think it was like on our episode for um semicon West you're going to see for um semicon West you're going to see for um semicon West you're going to see all this um all this um all this um really uh amazing compute power then really uh amazing compute power then really uh amazing compute power then become more power efficient and then become more power efficient and then become more power efficient and then that's going to uh improve the economics that's going to uh improve the economics that's going to uh improve the economics for all the stuff that we're trying to for all the stuff that we're trying to for all the stuff that we're trying to do in the iot world um by making you do in the iot world um by making you do in the iot world um by making you know this fuzzy logic a hell of a lot know this fuzzy logic a hell of a lot know this fuzzy logic a hell of a lot cheaper to run and more potent and cheaper to run and more potent and cheaper to run and more potent and Powerful right that's the the generative Powerful right that's the the generative Powerful right that's the the generative AI stuff is not important because at the AI stuff is not important because at the AI stuff is not important because at the edge edge edge really it it's really the classical really it it's really the classical really it it's really the classical stuff that has the most impact can get stuff that has the most impact can get stuff that has the most impact can get as Clos to as Clos to as Clos to deterministic and you just don't need deterministic and you just don't need deterministic and you just don't need something hallucinating like crazy at something hallucinating like crazy at something hallucinating like crazy at the edge you know uh throwing yeah no I the edge you know uh throwing yeah no I the edge you know uh throwing yeah no I would agree on that I mean I think that would agree on that I mean I think that would agree on that I mean I think that actually generative AI can be really actually generative AI can be really actually generative AI can be really helpful in training of EDI you know helpful in training of EDI you know helpful in training of EDI you know doing like synthetic training of Ed doing like synthetic training of Ed doing like synthetic training of Ed using gen a I think that's an using gen a I think that's an using gen a I think that's an interesting connection that'll be made interesting connection that'll be made interesting connection that'll be made by companies this year but also I mean by companies this year but also I mean by companies this year but also I mean the thing about gen AI that is I think the thing about gen AI that is I think the thing about gen AI that is I think legitimate is and I I listened yesterday legitimate is and I I listened yesterday legitimate is and I I listened yesterday to I don't know if you ever listened to to I don't know if you ever listened to to I don't know if you ever listened to Scott Galloway Professor G um he had Scott Galloway Professor G um he had Scott Galloway Professor G um he had Mustafa Solomon on and for a one hour Mustafa Solomon on and for a one hour Mustafa Solomon on and for a one hour discussion I don't know if you read the discussion I don't know if you read the discussion I don't know if you read the book The Coming wave yeah Solomon is book The Coming wave yeah Solomon is book The Coming wave yeah Solomon is like the founder of Deep Mind and he

like the founder of Deep Mind and he like the founder of Deep Mind and he wrote this book I won't give you the wrote this book I won't give you the wrote this book I won't give you the ending of the book but it's it's not a ending of the book but it's it's not a ending of the book but it's it's not a happy book but um but it's an happy book but um but it's an happy book but um but it's an interesting book on the coming wave of interesting book on the coming wave of interesting book on the coming wave of AI they did a one hour yesterday and I AI they did a one hour yesterday and I AI they did a one hour yesterday and I encourage folks to try to find that encourage folks to try to find that encourage folks to try to find that online but you know the geni thing is online but you know the geni thing is online but you know the geni thing is really going to be a super disruptor for really going to be a super disruptor for really going to be a super disruptor for a lot of the work and a lot of the you a lot of the work and a lot of the you a lot of the work and a lot of the you know unclear employment impact on on a know unclear employment impact on on a know unclear employment impact on on a lot of jobs um and so I think on that lot of jobs um and so I think on that lot of jobs um and so I think on that that side of it that side of it that side of it Genai has the ability to do a lot of Genai has the ability to do a lot of Genai has the ability to do a lot of interesting creation and artwork and interesting creation and artwork and interesting creation and artwork and things to help people do things as like things to help people do things as like things to help people do things as like supercharge their their current jobs but supercharge their their current jobs but supercharge their their current jobs but also there's a lot of kind of unknown also there's a lot of kind of unknown also there's a lot of kind of unknown impact to a lot of roles and you can impact to a lot of roles and you can impact to a lot of roles and you can imagine you know there's a lot of jobs imagine you know there's a lot of jobs imagine you know there's a lot of jobs out there unglamorous jobs that could be out there unglamorous jobs that could be out there unglamorous jobs that could be severely impacted by it for the long severely impacted by it for the long severely impacted by it for the long term but I'd love to see more of a term but I'd love to see more of a term but I'd love to see more of a connection between gen Ai and Edge AI in connection between gen Ai and Edge AI in connection between gen Ai and Edge AI in terms of like synthetic training and how terms of like synthetic training and how terms of like synthetic training and how do you enable like really well do you enable like really well do you enable like really well well-trained Edge you know things uh by well-trained Edge you know things uh by well-trained Edge you know things uh by using generative AI to sort of simulate using generative AI to sort of simulate using generative AI to sort of simulate what they should be looking for I think what they should be looking for I think what they should be looking for I think that'd be kind of interesting yeah I that'd be kind of interesting yeah I that'd be kind of interesting yeah I mean that that is that's where I think mean that that is that's where I think mean that that is that's where I think there's you see a lot of um work there's you see a lot of um work there's you see a lot of um work happening right now and some benefits happening right now and some benefits happening right now and some benefits saying being seen with like recom Bender saying being seen with like recom Bender saying being seen with like recom Bender models right so they're using I mean models right so they're using I mean models right so they're using I mean this is like way back this maybe like this is like way back this maybe like this is like way back this maybe like six months ago a lot of um retailers six months ago a lot of um retailers six months ago a lot of um retailers like Walmart like Walmart like Walmart using model six months ago six years ago

using model six months ago six years ago using model six months ago six years ago six years ago no no you said six months six years ago no no you said six months six years ago no no you said six months ago it's ago it's ago it's 10 years ago yeah recomend yeah Amazon 10 years ago yeah recomend yeah Amazon 10 years ago yeah recomend yeah Amazon you know hey you bought this would you you know hey you bought this would you you know hey you bought this would you like to buy this again sure oh that's like to buy this again sure oh that's like to buy this again sure oh that's even older but using generative AI even older but using generative AI even older but using generative AI models to uh models to uh models to uh to uh enhance or what you know what to uh enhance or what you know what to uh enhance or what you know what contextualize the model analyst model contextualize the model analyst model contextualize the model analyst model waiting and stuff like that you know and waiting and stuff like that you know and waiting and stuff like that you know and um and it it proves it it proves things um and it it proves it it proves things um and it it proves it it proves things like 16% right it's not like 120 getting like 16% right it's not like 120 getting like 16% right it's not like 120 getting things down to like uh you know anything things down to like uh you know anything things down to like uh you know anything beyond like two or three nines it's beyond like two or three nines it's beyond like two or three nines it's still in the range of H it's thing about still in the range of H it's thing about still in the range of H it's thing about like for like like checkout and stuff like for like like checkout and stuff like for like like checkout and stuff like training The Edge AI models in the like training The Edge AI models in the like training The Edge AI models in the quick checkout to recognize this that quick checkout to recognize this that quick checkout to recognize this that and the other thing you can use gen to and the other thing you can use gen to and the other thing you can use gen to syn to synthetically train a lot of syn to synthetically train a lot of syn to synthetically train a lot of these AI Vision models to like recognize these AI Vision models to like recognize these AI Vision models to like recognize fruits and vegetables and other things fruits and vegetables and other things fruits and vegetables and other things and like so I think you're going to get and like so I think you're going to get and like so I think you're going to get a higher quality Edge AI by using a higher quality Edge AI by using a higher quality Edge AI by using generative generative generative AI even those are typically hybrid AI AI even those are typically hybrid AI AI even those are typically hybrid AI applications you know even for simul applications you know even for simul applications you know even for simul simulation or generation synthetic stuff simulation or generation synthetic stuff simulation or generation synthetic stuff and that also use a lot of classical Ai and that also use a lot of classical Ai and that also use a lot of classical Ai and so when you when you get under the and so when you when you get under the and so when you when you get under the covers generative air has this thin

covers generative air has this thin covers generative air has this thin function it it's important it's an function it it's important it's an function it it's important it's an improvement but when you take that the improvement but when you take that the improvement but when you take that the improvements that it introduces up to improvements that it introduces up to improvements that it introduces up to the system level it gets a bit diluted the system level it gets a bit diluted the system level it gets a bit diluted so you know the hypothesis that this so you know the hypothesis that this so you know the hypothesis that this thing is going to drive Revolution right thing is going to drive Revolution right thing is going to drive Revolution right change the world it's change the world it's change the world it's actually I think people are going to actually I think people are going to actually I think people are going to discover that it's not the case you know discover that it's not the case you know discover that it's not the case you know um well there's always I'll tell you um well there's always I'll tell you um well there's always I'll tell you right now people are start already right now people are start already right now people are start already starting to realize it they just don't starting to realize it they just don't starting to realize it they just don't talk about it at this you know hype talk about it at this you know hype talk about it at this you know hype level you want no I agree I agree but we level you want no I agree I agree but we level you want no I agree I agree but we also we tend to overhype Tech in the also we tend to overhype Tech in the also we tend to overhype Tech in the short run and under underestimate it in short run and under underestimate it in short run and under underestimate it in the long run right so we we always do the long run right so we we always do the long run right so we we always do that something comes along that something comes along that something comes along like d we don't do that on iot coffee of like d we don't do that on iot coffee of like d we don't do that on iot coffee of course not here but you know other course not here but you know other course not here but you know other places yeah yeah exactly that's what you places yeah yeah exactly that's what you places yeah yeah exactly that's what you have to say exactly yeah but you know have to say exactly yeah but you know have to say exactly yeah but you know but at some particular point I'd love to but at some particular point I'd love to but at some particular point I'd love to have a deeper discussion around the have a deeper discussion around the have a deeper discussion around the economics for uh for the business world economics for uh for the business world economics for uh for the business world we keep on talking about it's going to we keep on talking about it's going to we keep on talking about it's going to cut jobs and cut people and usess but cut jobs and cut people and usess but cut jobs and cut people and usess but where's the economy for this I mean is where's the economy for this I mean is where's the economy for this I mean is there a is there a sales and marketing there a is there a sales and marketing there a is there a sales and marketing economy for this is there a you know economy for this is there a you know economy for this is there a you know what are we going to do to employ what are we going to do to employ what are we going to do to employ re-employ these people if we're going to re-employ these people if we're going to re-employ these people if we're going to take them out I mean I just exactly just take them out I mean I just exactly just take them out I mean I just exactly just look at I just look at the where are we look at I just look at the where are we look at I just look at the where are we going with the negative the easy the going with the negative the easy the going with the negative the easy the negative is easy that is a challenge negative is easy that is a challenge negative is easy that is a challenge yeah what happens and you know any new yeah what happens and you know any new yeah what happens and you know any new technology you know just like when they

technology you know just like when they technology you know just like when they when they you know started automating when they you know started automating when they you know started automating looms back in the 1800s you know people looms back in the 1800s you know people looms back in the 1800s you know people lost their jobs but new jobs were lost their jobs but new jobs were lost their jobs but new jobs were created and so right it's not always created and so right it's not always created and so right it's not always those new jobs it's not you know that's those new jobs it's not you know that's those new jobs it's not you know that's that's TBD I guess yeah it's babysitting that's TBD I guess yeah it's babysitting that's TBD I guess yeah it's babysitting AI models prompt engineer I think prompt AI models prompt engineer I think prompt AI models prompt engineer I think prompt engineer is the number one career choice engineer is the number one career choice engineer is the number one career choice now for influencer and prompt engineer now for influencer and prompt engineer now for influencer and prompt engineer and then Google search engineer I think and then Google search engineer I think and then Google search engineer I think is the other one oh my God it's a Brave is the other one oh my God it's a Brave is the other one oh my God it's a Brave New World and um but we've had this New World and um but we've had this New World and um but we've had this discussion obviously we you read about discussion obviously we you read about discussion obviously we you read about this stuff all the time you know there's this stuff all the time you know there's this stuff all the time you know there's always new tech that displaces jobs and always new tech that displaces jobs and always new tech that displaces jobs and new jobs are created but the the worry new jobs are created but the the worry new jobs are created but the the worry here though is the AI is such a big leap here though is the AI is such a big leap here though is the AI is such a big leap that it's going to displace job more that it's going to displace job more that it's going to displace job more jobs faster than ever before and we jobs faster than ever before and we jobs faster than ever before and we won't be able to keep up like we've had won't be able to keep up like we've had won't be able to keep up like we've had in the past you know it was always you in the past you know it was always you in the past you know it was always you know two steps forward one step know two steps forward one step know two steps forward one step back when we disrupt things with back when we disrupt things with back when we disrupt things with technology um and the Gen AI could be technology um and the Gen AI could be technology um and the Gen AI could be the prompt engineer for another gen the prompt engineer for another gen the prompt engineer for another gen thing thing thing oh um you know what though I do like the oh um you know what though I do like the oh um you know what though I do like the edge AI stuff I have to tell you behind edge AI stuff I have to tell you behind edge AI stuff I have to tell you behind the scenes last few months I've been the scenes last few months I've been the scenes last few months I've been studying and teaching myself and I've studying and teaching myself and I've studying and teaching myself and I've been training models here at home so you been training models here at home so you been training models here at home so you know not to not to give any undo props know not to not to give any undo props know not to not to give any undo props to to to Microsoft but Microsoft's always been Microsoft but Microsoft's always been Microsoft but Microsoft's always been the company that made hard things easy the company that made hard things easy the company that made hard things easy over time for idiots like me and so um over time for idiots like me and so um over time for idiots like me and so um I've been learning ml.net because I've

I've been learning ml.net because I've I've been learning ml.net because I've done net and C forever and um they've done net and C forever and um they've done net and C forever and um they've actually created a great framework this actually created a great framework this actually created a great framework this ml.net and integration into visual ml.net and integration into visual ml.net and integration into visual studio and visual tools and this called studio and visual tools and this called studio and visual tools and this called automl and it will cycle through and automl and it will cycle through and automl and it will cycle through and look at different algorithms to find the look at different algorithms to find the look at different algorithms to find the best one for your your data best one for your your data best one for your your data set and so uh I've been actually doing set and so uh I've been actually doing set and so uh I've been actually doing it and it's great because I remember it and it's great because I remember it and it's great because I remember back when I was at Hitachi doing lumada back when I was at Hitachi doing lumada back when I was at Hitachi doing lumada and we had lots of PhD you know data and we had lots of PhD you know data and we had lots of PhD you know data scientists working on machine learning scientists working on machine learning scientists working on machine learning stuff you know what what's been the stuff you know what what's been the stuff you know what what's been the biggest industrial iot thing it's been biggest industrial iot thing it's been biggest industrial iot thing it's been predictive maintenance right you know predictive maintenance right you know predictive maintenance right you know when's that machine going to fail has when's that machine going to fail has when's that machine going to fail has always been the the Holy Grail or you always been the the Holy Grail or you always been the the Holy Grail or you know and so uh it was just really hard know and so uh it was just really hard know and so uh it was just really hard and you had to know a lot of stuff to do and you had to know a lot of stuff to do and you had to know a lot of stuff to do it and and so what I find amazing is is it and and so what I find amazing is is it and and so what I find amazing is is something like this higher level tool something like this higher level tool something like this higher level tool like ml.net where a lot of that hard like ml.net where a lot of that hard like ml.net where a lot of that hard stuff is nowed away and it's happening stuff is nowed away and it's happening stuff is nowed away and it's happening under covers and it's just like you under covers and it's just like you under covers and it's just like you provide the big data set and you still provide the big data set and you still provide the big data set and you still have to have good data clean data have to have good data clean data have to have good data clean data quality data right um but yeah yeah it quality data right um but yeah yeah it quality data right um but yeah yeah it it'll train it it'll analyze it it'll it'll train it it'll analyze it it'll it'll train it it'll analyze it it'll find the best algorithm because it or find the best algorithm because it or find the best algorithm because it or you can easily integrates through you can easily integrates through you can easily integrates through tensorflow and a lot of other great tensorflow and a lot of other great tensorflow and a lot of other great libraries and then it'll let you libraries and then it'll let you libraries and then it'll let you validate it and evaluate it and then you validate it and evaluate it and then you validate it and evaluate it and then you put it in production and it says here's put it in production and it says here's put it in production and it says here's the boilerplate code to use for your app the boilerplate code to use for your app the boilerplate code to use for your app to do inference against that model and to do inference against that model and to do inference against that model and so uh anyway that's been kind of fun and so uh anyway that's been kind of fun and so uh anyway that's been kind of fun and it also gives me hope uh for EDI and I

it also gives me hope uh for EDI and I it also gives me hope uh for EDI and I don't mean EDI like you know tiny ml EDI don't mean EDI like you know tiny ml EDI don't mean EDI like you know tiny ml EDI I mean Ed AI like kind of smaller box I mean Ed AI like kind of smaller box I mean Ed AI like kind of smaller box server or yeah rugged P at the edge like server or yeah rugged P at the edge like server or yeah rugged P at the edge like you might see in a factory or or in a you might see in a factory or or in a you might see in a factory or or in a data center or whatever um so yeah it's data center or whatever um so yeah it's data center or whatever um so yeah it's real I think I think we're getting much real I think I think we're getting much real I think I think we're getting much more low code no code type things out more low code no code type things out more low code no code type things out there more model zoos you know and then there more model zoos you know and then there more model zoos you know and then I think J is GNA help I think is going I think J is GNA help I think is going I think J is GNA help I think is going to help with that because you'll be able to help with that because you'll be able to help with that because you'll be able to simulate all the training data or a to simulate all the training data or a to simulate all the training data or a lot of the training data as well or lot of the training data as well or lot of the training data as well or refine it you know and really kind of refine it you know and really kind of refine it you know and really kind of hypertrain some of these models to be a hypertrain some of these models to be a hypertrain some of these models to be a lot more accurate and like Rob was lot more accurate and like Rob was lot more accurate and like Rob was saying it'll be you know low code no saying it'll be you know low code no saying it'll be you know low code no code type stuff where you don't need to code type stuff where you don't need to code type stuff where you don't need to be an AI PhD to implement EDI in a lot be an AI PhD to implement EDI in a lot be an AI PhD to implement EDI in a lot of your Solutions it'll be sort of de of your Solutions it'll be sort of de of your Solutions it'll be sort of de facto of that stuff is is a lot bigger facto of that stuff is is a lot bigger facto of that stuff is is a lot bigger than geni and you know when you look at than geni and you know when you look at than geni and you know when you look at what Google has done with I forgot the what Google has done with I forgot the what Google has done with I forgot the project is called but you know Qualcomm project is called but you know Qualcomm project is called but you know Qualcomm uses it um to for model uses it um to for model uses it um to for model optimization uh that stuff has been optimization uh that stuff has been optimization uh that stuff has been around for quite some time so it's not around for quite some time so it's not around for quite some time so it's not credit to gen AI in any way right it's credit to gen AI in any way right it's credit to gen AI in any way right it's just it's how that Ai and ml uh just it's how that Ai and ml uh just it's how that Ai and ml uh development Frameworks and you know uh development Frameworks and you know uh development Frameworks and you know uh uh tools have evolved and become more uh uh tools have evolved and become more uh uh tools have evolved and become more uh let's say a mature mature and to to let's say a mature mature and to to let's say a mature mature and to to Rob's point Rob's point Rob's point uh you know much easier and accessible

uh you know much easier and accessible uh you know much easier and accessible for folks at his level which I don't for folks at his level which I don't for folks at his level which I don't think is you know a dummy level um by think is you know a dummy level um by think is you know a dummy level um by any stretch of the imagination but it any stretch of the imagination but it any stretch of the imagination but it makes the heal a lot more accessible makes the heal a lot more accessible makes the heal a lot more accessible right sure and then allows the right sure and then allows the right sure and then allows the applications to be developed quickly in applications to be developed quickly in applications to be developed quickly in in a more optimal way you know you get in a more optimal way you know you get in a more optimal way you know you get to optimization a lot faster you're not to optimization a lot faster you're not to optimization a lot faster you're not wasting your time looking for which wasting your time looking for which wasting your time looking for which model actually is the best the thing model actually is the best the thing model actually is the best the thing that I'm trying to do predicated on that I'm trying to do predicated on that I'm trying to do predicated on great Edge AI silicon that's not now a great Edge AI silicon that's not now a great Edge AI silicon that's not now a lot more capable and powerful and has lot more capable and powerful and has lot more capable and powerful and has npus built in and you know which we npus built in and you know which we npus built in and you know which we didn't have you know 5 years ago so didn't have you know 5 years ago so didn't have you know 5 years ago so that's so true you know you think about that's so true you know you think about that's so true you know you think about the scenario like a scenario I'm in the scenario like a scenario I'm in the scenario like a scenario I'm in right now you know I have leadership of right now you know I have leadership of right now you know I have leadership of my little startup saying we got to have my little startup saying we got to have my little startup saying we got to have ai we want to do and I and I totally ai we want to do and I and I totally ai we want to do and I and I totally want to do it and I know other AI want to do it and I know other AI want to do it and I know other AI companies and AI startups and they have companies and AI startups and they have companies and AI startups and they have like 20 scientists doing crazy stuff all like 20 scientists doing crazy stuff all like 20 scientists doing crazy stuff all the time and how can little old me by the time and how can little old me by the time and how can little old me by myself deliver that well there's no way myself deliver that well there's no way myself deliver that well there's no way I could but with this ml.net technology I could but with this ml.net technology I could but with this ml.net technology little old me who's not a PhD is going little old me who's not a PhD is going little old me who's not a PhD is going to be able to do it and so I think to be able to do it and so I think to be able to do it and so I think that's the big aha moment yeah props to that's the big aha moment yeah props to that's the big aha moment yeah props to the phds though because all these if it the phds though because all these if it the phds though because all these if it wasn't for them they made it work most wasn't for them they made it work most wasn't for them they made it work most of us don't even know what the hell's of us don't even know what the hell's of us don't even know what the hell's happening under a hood right I have no happening under a hood right I have no happening under a hood right I have no idea what's it's not wasn't for magic idea what's it's not wasn't for magic idea what's it's not wasn't for magic things are happening little hamsters things are happening little hamsters things are happening little hamsters happens but you know love how he happens but you know love how he happens but you know love how he describes as little old M yeah he's describes as little old M yeah he's describes as little old M yeah he's never programmed that damn thing in his

life as well this is what I'm worried life as well this is what I'm worried that Pete was mentioning that if you that Pete was mentioning that if you that Pete was mentioning that if you train a machine learning model with train a machine learning model with train a machine learning model with generative AI how how can you trust that generative AI how how can you trust that generative AI how how can you trust that machine learning machine learning machine learning [Music] [Music] [Music] model true I mean that's part of the model true I mean that's part of the model true I mean that's part of the validation so there always needs to be validation so there always needs to be validation so there always needs to be validation you know at the end and validation you know at the end and validation you know at the end and transparency you know be able to audit transparency you know be able to audit transparency you know be able to audit it you know you track it trace it yeah it you know you track it trace it yeah it you know you track it trace it yeah but you know it should be able to but you know it should be able to but you know it should be able to accelerate it though you're supposed to accelerate it though you're supposed to accelerate it though you're supposed to work with SME who actually know the work with SME who actually know the work with SME who actually know the answers to the question the whole point answers to the question the whole point answers to the question the whole point of training a model is you are you're of training a model is you are you're of training a model is you are you're training it with stuff you already know training it with stuff you already know training it with stuff you already know the answer to that for real know the the answer to that for real know the the answer to that for real know the answer and so to your point mark If answer and so to your point mark If answer and so to your point mark If generative AI gives that answer in generative AI gives that answer in generative AI gives that answer in advance it might be right and advance it might be right and advance it might be right and how do you trust it and so I train the how do you trust it and so I train the how do you trust it and so I train the model all these features of things that model all these features of things that model all these features of things that I know are true when the machine failed I know are true when the machine failed I know are true when the machine failed because it vibrated this way or it got because it vibrated this way or it got because it vibrated this way or it got this hot um this hot um this hot um but how do you know these are true if but how do you know these are true if but how do you know these are true if it's generated by an neural network for it's generated by an neural network for it's generated by an neural network for example like Genera you could say if I'm example like Genera you could say if I'm example like Genera you could say if I'm uh you know AI Vision to recognize a uh you know AI Vision to recognize a uh you know AI Vision to recognize a head of broccoli I could take an actual head of broccoli I could take an actual head of broccoli I could take an actual picture of broccoli I could gen off of picture of broccoli I could gen off of picture of broccoli I could gen off of that 100,000 variants of the way the that 100,000 variants of the way the that 100,000 variants of the way the broccoli looks at different angles and broccoli looks at different angles and broccoli looks at different angles and shapes which you can't just do that you shapes which you can't just do that you shapes which you can't just do that you know manually right so you need like gen know manually right so you need like gen know manually right so you need like gen could help accelerate a lot more could help accelerate a lot more could help accelerate a lot more training of some of these things but you training of some of these things but you training of some of these things but you know not everything yeah because right know not everything yeah because right know not everything yeah because right everybody simple things yeah I agree everybody simple things yeah I agree everybody simple things yeah I agree yeah it's like uh it's like selling yeah it's like uh it's like selling yeah it's like uh it's like selling Insurance um it is you Insurance um it is you Insurance um it is you know by a moment I understood that Rob

know by a moment I understood that Rob know by a moment I understood that Rob was saying sorry by a moment I was saying sorry by a moment I was saying sorry by a moment I understood that Rob was saying you have understood that Rob was saying you have understood that Rob was saying you have to work with agent Smith yes I don't Anderson yeah can you guys yes I don't Anderson yeah can you guys can you guys hear me a little better yes can you guys hear me a little better yes can you guys hear me a little better yes okay so I think that the the interesting okay so I think that the the interesting okay so I think that the the interesting point here is because the danger of point here is because the danger of point here is because the danger of using generating AI to generate kind of using generating AI to generate kind of using generating AI to generate kind of data set is you you're using derivatives data set is you you're using derivatives data set is you you're using derivatives so the analogy is is like the financial so the analogy is is like the financial so the analogy is is like the financial products okay you started as much as you products okay you started as much as you products okay you started as much as you derivate from one level to the next derivate from one level to the next derivate from one level to the next level you start losing track of what level you start losing track of what level you start losing track of what really is and you get into extremely really is and you get into extremely really is and you get into extremely dangerous thing so that the thing dangerous thing so that the thing dangerous thing so that the thing worries me so I can understand the worries me so I can understand the worries me so I can understand the broccoli idea because it's probably a broccoli idea because it's probably a broccoli idea because it's probably a simple use case because you can say okay simple use case because you can say okay simple use case because you can say okay give me you know tens of thousands of give me you know tens of thousands of give me you know tens of thousands of views of a broccoli from the top from views of a broccoli from the top from views of a broccoli from the top from the bottom from different Sid the bottom from different Sid the bottom from different Sid but if you start getting to more but if you start getting to more but if you start getting to more sophisticated data set because the sophisticated data set because the sophisticated data set because the generative AI was first trained by data generative AI was first trained by data generative AI was first trained by data set that you don't necessarily know if set that you don't necessarily know if set that you don't necessarily know if they are good or bad so you're starting they are good or bad so you're starting they are good or bad so you're starting adding layers of derivative within adding layers of derivative within adding layers of derivative within certainty which are freaking scary so certainty which are freaking scary so certainty which are freaking scary so it's very interesting to see how the it's very interesting to see how the it's very interesting to see how the things evolve I wanted to make another things evolve I wanted to make another things evolve I wanted to make another comment on what you said earlier Rob comment on what you said earlier Rob comment on what you said earlier Rob because I've actually seen a data because I've actually seen a data because I've actually seen a data science or AI platform that allows you science or AI platform that allows you science or AI platform that allows you to train model for quite a few years to train model for quite a few years to train model for quite a few years right now and to your point those data right now and to your point those data right now and to your point those data scientists I mean 85% of their job is scientists I mean 85% of their job is scientists I mean 85% of their job is cleaning the data yeah he not coming up cleaning the data yeah he not coming up cleaning the data yeah he not coming up with algorithm this have to demystify with algorithm this have to demystify with algorithm this have to demystify that thing it's writing some freaking

that thing it's writing some freaking that thing it's writing some freaking squel to clean the freaking shitty data squel to clean the freaking shitty data squel to clean the freaking shitty data that's what they do 85% of their jobs a that's what they do 85% of their jobs a that's what they do 85% of their jobs a good point cleaning and good point cleaning and good point cleaning and labeling you're so right you are so labeling you're so right you are so labeling you're so right you are so right yeah and that's where we see gen right yeah and that's where we see gen right yeah and that's where we see gen AI models um really being somewhat AI models um really being somewhat AI models um really being somewhat useful is in automating the labeling useful is in automating the labeling useful is in automating the labeling process you know helping to generate process you know helping to generate process you know helping to generate embeddings on like media like you know embeddings on like media like you know embeddings on like media like you know one of the companies that I talk to um one of the companies that I talk to um one of the companies that I talk to um they have this geni application that they have this geni application that they have this geni application that will allow you to take footage and then will allow you to take footage and then will allow you to take footage and then have the have the have the application uh you know uh get you know application uh you know uh get you know application uh you know uh get you know create the embeddings and then dump all create the embeddings and then dump all create the embeddings and then dump all that stuff into a vector database and that stuff into a vector database and that stuff into a vector database and then the Gen I mean the then the Gen I mean the then the Gen I mean the key part of the geni stuff is it can it key part of the geni stuff is it can it key part of the geni stuff is it can it can reach into that Vector database and can reach into that Vector database and can reach into that Vector database and then based on your promt surface of the then based on your promt surface of the then based on your promt surface of the footage that matches best matches uh you footage that matches best matches uh you footage that matches best matches uh you know what you prompted it for um that know what you prompted it for um that know what you prompted it for um that those are kind of cool stuff but then those are kind of cool stuff but then those are kind of cool stuff but then again in the grand scheme of things again in the grand scheme of things again in the grand scheme of things um it's not CH it's not it's not um it's not CH it's not it's not um it's not CH it's not it's not changing the world you know it's changing the world you know it's changing the world you know it's enabling a certain process and improving enabling a certain process and improving enabling a certain process and improving it you know a certain it you know a certain it you know a certain percentage um so but hey you know what percentage um so but hey you know what percentage um so but hey you know what um is is uh Bill still on yeah he's um is is uh Bill still on yeah he's um is is uh Bill still on yeah he's right there dude why are you so quiet right there dude why are you so quiet right there dude why are you so quiet man you gotta say something I I'm just man you gotta say something I I'm just man you gotta say something I I'm just you know what I mean it's the beginning

you know what I mean it's the beginning you know what I mean it's the beginning of the year and and I'm like I am of the year and and I'm like I am of the year and and I'm like I am already exhausted with the whole gen already exhausted with the whole gen already exhausted with the whole gen AI dang man I mean it's like I'm like AI dang man I mean it's like I'm like AI dang man I mean it's like I'm like really this I mean this is one of those really this I mean this is one of those really this I mean this is one of those we've talked about this before we pick a we've talked about this before we pick a we've talked about this before we pick a technology and it's a technology and it's a technology and it's a piece it's it's a it's a piece you know piece it's it's a it's a piece you know piece it's it's a it's a piece you know gen AI is a gen AI is a gen AI is a piece of of the puzzle you know and and piece of of the puzzle you know and and piece of of the puzzle you know and and and and so so Pete to to your point the and and so so Pete to to your point the and and so so Pete to to your point the the the transparency the proof and all the the transparency the proof and all the the transparency the proof and all of that stuff all right so nist hasn't of that stuff all right so nist hasn't of that stuff all right so nist hasn't has uh a task force right now and has uh a task force right now and has uh a task force right now and they're taking feedback um on on an they're taking feedback um on on an they're taking feedback um on on an executive order executive order executive order um that is looking to carry out you know um that is looking to carry out you know um that is looking to carry out you know um an understanding of um you know for um an understanding of um you know for um an understanding of um you know for to provide guidelines for evaluating to provide guidelines for evaluating to provide guidelines for evaluating differential privacy differential privacy differential privacy guarantees right and so I I think I guarantees right and so I I think I guarantees right and so I I think I think for me at least the way that I think for me at least the way that I think for me at least the way that I look at it is like when you see an end look at it is like when you see an end look at it is like when you see an end solution I don't think that you'll solution I don't think that you'll solution I don't think that you'll really care about what the geni is really care about what the geni is really care about what the geni is doing I I really don't think that you'll doing I I really don't think that you'll doing I I really don't think that you'll care as long as you could check out buy care as long as you could check out buy care as long as you could check out buy your broccoli at Walmart then you're your broccoli at Walmart then you're your broccoli at Walmart then you're good right I mean who cares that's it good right I mean who cares that's it good right I mean who cares that's it yeah and and Bill that's exactly what yeah and and Bill that's exactly what yeah and and Bill that's exactly what you're starting to see here it's like you're starting to see here it's like you're starting to see here it's like with all the with all the with all the talk what bubbles up to the surface is

talk what bubbles up to the surface is talk what bubbles up to the surface is actually almost negligible it it's just actually almost negligible it it's just actually almost negligible it it's just going to be that going to be that going to be that incremental uh uplift or enhancement to incremental uh uplift or enhancement to incremental uh uplift or enhancement to certain things that we already do uh you certain things that we already do uh you certain things that we already do uh you know even from a you know like a a know even from a you know like a a know even from a you know like a a freaking conversational AI perspective freaking conversational AI perspective freaking conversational AI perspective yeah it makes it a little bit more yeah it makes it a little bit more yeah it makes it a little bit more conversational you can uh uh you have a conversational you can uh uh you have a conversational you can uh uh you have a little bit more functionality but you little bit more functionality but you little bit more functionality but you still have all the problems with like still have all the problems with like still have all the problems with like inaccurate inaccurate inaccurate NLP and then you know the PRT to NLP and then you know the PRT to NLP and then you know the PRT to actually not being um registered with actually not being um registered with actually not being um registered with the geni model a proper way and then you the geni model a proper way and then you the geni model a proper way and then you get crap results back so there's like get crap results back so there's like get crap results back so there's like all this probabilistic the probabilistic all this probabilistic the probabilistic all this probabilistic the probabilistic issue stack on top of each other yeah issue stack on top of each other yeah issue stack on top of each other yeah and then ultimately we're going to still and then ultimately we're going to still and then ultimately we're going to still have that same Siri problem you know have that same Siri problem you know have that same Siri problem you know where we're getting pissed off right at where we're getting pissed off right at where we're getting pissed off right at the geni application everything's just the geni application everything's just the geni application everything's just gonna keep getting shittier and shittier gonna keep getting shittier and shittier gonna keep getting shittier and shittier just over yeah because there there are just over yeah because there there are just over yeah because there there are very few pure pure play um uh gen AI very few pure pure play um uh gen AI very few pure pure play um uh gen AI applications at the end of the day applications at the end of the day applications at the end of the day they're either like some weird rag thing they're either like some weird rag thing they're either like some weird rag thing or a hybrid AI uh application that uses or a hybrid AI uh application that uses or a hybrid AI uh application that uses all kinds of you know other classical uh all kinds of you know other classical uh all kinds of you know other classical uh techniques that have their own techniques that have their own techniques that have their own probalistic issues right and so yeah probalistic issues right and so yeah probalistic issues right and so yeah dude you're you're absolutely you can dude you're you're absolutely you can dude you're you're absolutely you can see it here bill I wish you were see it here bill I wish you were see it here bill I wish you were here here I just transported myself to here here I just transported myself to here here I just transported myself to Las Vegas I mean but that's that is Las Vegas I mean but that's that is Las Vegas I mean but that's that is exactly my point is that you know when

exactly my point is that you know when exactly my point is that you know when you really get down to Solutions all you really get down to Solutions all you really get down to Solutions all right so you know we we did we went right so you know we we did we went right so you know we we did we went through this whole thing when digital through this whole thing when digital through this whole thing when digital twin was the buzzword now digital twin twin was the buzzword now digital twin twin was the buzzword now digital twin is still around and everything but any is still around and everything but any is still around and everything but any true digital twin is going to have true digital twin is going to have true digital twin is going to have machine learning it's going to have an machine learning it's going to have an machine learning it's going to have an element of AI and all of those things element of AI and all of those things element of AI and all of those things but do people care no you're you're but do people care no you're you're but do people care no you're you're using it to derive a specific outcome using it to derive a specific outcome using it to derive a specific outcome yeah but I give you I give you a reason yeah but I give you I give you a reason yeah but I give you I give you a reason why people should care because the the why people should care because the the why people should care because the the difference is that it's a fundamentally difference is that it's a fundamentally difference is that it's a fundamentally different approach because there's a different approach because there's a different approach because there's a black box element when something goes black box element when something goes black box element when something goes wrong with traditional code you open the wrong with traditional code you open the wrong with traditional code you open the code you look at it you can introspect code you look at it you can introspect code you look at it you can introspect it say oh this is why he did that and it say oh this is why he did that and it say oh this is why he did that and this is why he screwed up with tech you this is why he screwed up with tech you this is why he screwed up with tech you cannot do that because there's the cannot do that because there's the cannot do that because there's the blackb aspect so for this reason I'm not blackb aspect so for this reason I'm not blackb aspect so for this reason I'm not saying that you're not you're wrong at saying that you're not you're wrong at saying that you're not you're wrong at the end of the day people only care the end of the day people only care the end of the day people only care about the outcome but the way you get about the outcome but the way you get about the outcome but the way you get into the outcome is different nowaday into the outcome is different nowaday into the outcome is different nowaday before you was very deterministic with before you was very deterministic with before you was very deterministic with all the bugs now it's magic and that's all the bugs now it's magic and that's all the bugs now it's magic and that's should be of concern I believe I mean should be of concern I believe I mean should be of concern I believe I mean but I don't I don't know that if if I'm but I don't I don't know that if if I'm but I don't I don't know that if if I'm if I'm if I'm providing a service so my if I'm if I'm providing a service so my if I'm if I'm providing a service so my company creates a solution and I'm company creates a solution and I'm company creates a solution and I'm providing a service at the end of the providing a service at the end of the providing a service at the end of the day I don't want my customers to even day I don't want my customers to even day I don't want my customers to even flip and care I want to I want to know flip and care I want to I want to know flip and care I want to I want to know that there's a problem well ahead of that there's a problem well ahead of that there's a problem well ahead of them figuring out that there's a problem them figuring out that there's a problem them figuring out that there's a problem sure no I agree but when the plane crash sure no I agree but when the plane crash sure no I agree but when the plane crash is somebody's going to look at who's

is somebody's going to look at who's is somebody's going to look at who's responsible and it's going be difficult responsible and it's going be difficult responsible and it's going be difficult to explain with those black box systems to explain with those black box systems to explain with those black box systems that made a decision at some point they that made a decision at some point they that made a decision at some point they can't they can't explain plane crashing P the the door fell off I P the the door fell off I [Music] [Music] [Music] meanes why don't you build the damn meanes why don't you build the damn meanes why don't you build the damn plane out of the black box that's a very plane out of the black box that's a very plane out of the black box that's a very that's a very good example take the max that's a very good example take the max that's a very good example take the max problem they find the black box and they problem they find the black box and they problem they find the black box and they figure out why it's screwed up because figure out why it's screwed up because figure out why it's screwed up because it's th system which was very predictive it's th system which was very predictive it's th system which was very predictive programming was not disclosed they could programming was not disclosed they could programming was not disclosed they could find the exact root causes imagine it find the exact root causes imagine it find the exact root causes imagine it was an AI system that made the decision was an AI system that made the decision was an AI system that made the decision what to do with the plane what would be what to do with the plane what would be what to do with the plane what would be talking about it would be much more talking about it would be much more talking about it would be much more different so but again I'm not saying different so but again I'm not saying different so but again I'm not saying it's not going to happen think by Nature it's not going to happen think by Nature it's not going to happen think by Nature we should think differently about how we we should think differently about how we we should think differently about how we get the get the get the outcome right it it does make it more outcome right it it does make it more outcome right it it does make it more obuse by the way just on the related obuse by the way just on the related obuse by the way just on the related note I don't know if you can see this note I don't know if you can see this note I don't know if you can see this down there Leonard but Sony in their down there Leonard but Sony in their down there Leonard but Sony in their keynote talked about a digital birth keynote talked about a digital birth keynote talked about a digital birth certificate for photos where their certificate for photos where their certificate for photos where their cameras will use some kind of nft block cameras will use some kind of nft block cameras will use some kind of nft block chainy thing to embed like a digital chainy thing to embed like a digital chainy thing to embed like a digital birth certificate in the photo that's birth certificate in the photo that's birth certificate in the photo that's taken so that you can authenticate the taken so that you can authenticate the taken so that you can authenticate the picture you know sort of as it picture you know sort of as it picture you know sort of as it propagates throughout whatever propagates throughout whatever propagates throughout whatever which is pretty cool concept but it's which is pretty cool concept but it's which is pretty cool concept but it's it's an interesting concept but it's an interesting concept but it's an interesting concept but unfortunately it's it's a Sony only it's unfortunately it's it's a Sony only it's unfortunately it's it's a Sony only it's only with their Pro cameras yeah and I only with their Pro cameras yeah and I only with their Pro cameras yeah and I mean there's there's a there's a there's mean there's there's a there's a there's mean there's there's a there's a there's a company called bandwagon that's been a company called bandwagon that's been a company called bandwagon that's been doing that for the past three to five doing that for the past three to five doing that for the past three to five years and and they their I mean their

years and and they their I mean their years and and they their I mean their customer base is uh Sports I mean customer base is uh Sports I mean customer base is uh Sports I mean athletes and right stars and stuff like athletes and right stars and stuff like athletes and right stars and stuff like that you know so that they don't get that you know so that they don't get that you know so that they don't get these pictures taken of them and then these pictures taken of them and then these pictures taken of them and then floating around and people making money floating around and people making money floating around and people making money on them they're like you know that is on them they're like you know that is on them they're like you know that is mine and yeah get more proliferated mine and yeah get more proliferated mine and yeah get more proliferated Sun's GNA have to explain to me how you Sun's GNA have to explain to me how you Sun's GNA have to explain to me how you cannot remove the stuff because to me is cannot remove the stuff because to me is cannot remove the stuff because to me is this is the DVD syndrome okay you know this is the DVD syndrome okay you know this is the DVD syndrome okay you know when you put a DVD in your player and when you put a DVD in your player and when you put a DVD in your player and you get the FBI warning thing you know you get the FBI warning thing you know you get the FBI warning thing you know who is seeing the FBI warning thing only who is seeing the FBI warning thing only who is seeing the FBI warning thing only the people that buy legally because all the people that buy legally because all the people that buy legally because all the others this is the first thing that the others this is the first thing that the others this is the first thing that is removed so so you have to find the is removed so so you have to find the is removed so so you have to find the technology to be make sure that it's not technology to be make sure that it's not technology to be make sure that it's not I know yeah so it's nice to see though I know yeah so it's nice to see though I know yeah so it's nice to see though at least there's some investment in in at least there's some investment in in at least there's some investment in in transparency of content so no I don't transparency of content so no I don't transparency of content so no I don't disagree it's great but it's just you disagree it's great but it's just you disagree it's great but it's just you this is a hard problem to tackle it's this is a hard problem to tackle it's this is a hard problem to tackle it's really really really problem tracability tracability problem tracability tracability problem tracability tracability auditability and immutability how do you auditability and immutability how do you auditability and immutability how do you solve those problem mutability yeah you solve those problem mutability yeah you solve those problem mutability yeah you know how you solve the know how you solve the know how you solve the problem it all has to do with governance problem it all has to do with governance problem it all has to do with governance and where you where and how you instill and where you where and how you instill and where you where and how you instill trust in things and uh I think at some trust in things and uh I think at some trust in things and uh I think at some point we're going to be going back to point we're going to be going back to point we're going to be going back to like you know traditional like you know traditional like you know traditional film and the only way that you can film and the only way that you can film and the only way that you can submit anything in court as proof is if submit anything in court as proof is if submit anything in court as proof is if you have like one of those old school you have like one of those old school you have like one of those old school cameras and you can present to them that cameras and you can present to them that cameras and you can present to them that the the original film can I take my old the the original film can I take my old the the original film can I take my old school camera and take a picture of my school camera and take a picture of my school camera and take a picture of my smartphone and isn't that CH no smartphone and isn't that CH no smartphone and isn't that CH no seriously at some point there's certain seriously at some point there's certain seriously at some point there's certain things where we're going to go totally

things where we're going to go totally things where we're going to go totally go Battle Star Galactica we will because go Battle Star Galactica we will because go Battle Star Galactica we will because the threat to the trust for a certain the threat to the trust for a certain the threat to the trust for a certain institution or thing it will be so dire institution or thing it will be so dire institution or thing it will be so dire that we have to fall back on reality that we have to fall back on reality that we have to fall back on reality can't trust the digital representation can't trust the digital representation can't trust the digital representation of anything even stuff that we snap on of anything even stuff that we snap on of anything even stuff that we snap on our our our cameras Rob isn't sitting with Brad Pit cameras Rob isn't sitting with Brad Pit cameras Rob isn't sitting with Brad Pit and uh George Clooney right now is that and uh George Clooney right now is that and uh George Clooney right now is that what you're saying in Vegas right now what you're saying in Vegas right now what you're saying in Vegas right now with you guys you know so Leonard you with you guys you know so Leonard you with you guys you know so Leonard you you're a Visionary because you just you're a Visionary because you just you're a Visionary because you just invented the analog twin that backs up invented the analog twin that backs up invented the analog twin that backs up the digital twin ah the analog twin yes the digital twin ah the analog twin yes the digital twin ah the analog twin yes no no but think about what I just said no no but think about what I just said no no but think about what I just said think about it is exactly what you're think about it is exactly what you're think about it is exactly what you're saying you're going to have an analog saying you're going to have an analog saying you're going to have an analog twin somewhere that hey I am the source twin somewhere that hey I am the source twin somewhere that hey I am the source of that and whatever digital twins exist of that and whatever digital twins exist of that and whatever digital twins exist of this you can trace them back to me of this you can trace them back to me of this you can trace them back to me because I own the analog twin that's because I own the analog twin that's because I own the analog twin that's interesting interesting interesting concept yeah non fungible non fungible concept yeah non fungible non fungible concept yeah non fungible non fungible and Christopher Nolan keeps making all and Christopher Nolan keeps making all and Christopher Nolan keeps making all his movies in actual film so I don't his movies in actual film so I don't his movies in actual film so I don't know where the tie-in there is but I know where the tie-in there is but I know where the tie-in there is but I made it there I'm excited though that at made it there I'm excited though that at made it there I'm excited though that at 9:24 today Leonard found a way to bring 9:24 today Leonard found a way to bring 9:24 today Leonard found a way to bring us all the way back to Battlestar us all the way back to Battlestar us all the way back to Battlestar Galactica again there you go you know he Galactica again there you go you know he Galactica again there you go you know he found a way in fact I think it's found a way in fact I think it's found a way in fact I think it's important that every meeting we have important that every meeting we have important that every meeting we have he's got to find some nugget some way to he's got to find some nugget some way to he's got to find some nugget some way to pull us back to his little battar pull us back to his little battar pull us back to his little battar Galactica thing that he loves what do Galactica thing that he loves what do Galactica thing that he loves what do you what do you mean mine it's yours you what do you mean mine it's yours you what do you mean mine it's yours dude is dude is dude is totally dude listen what we're seeing of totally dude listen what we're seeing of totally dude listen what we're seeing of you right now is completely generated we

you right now is completely generated we you right now is completely generated we know you're a sylon you know you're a sylon you know you're a sylon you know you know thing so I know it's real know you know thing so I know it's real know you know thing so I know it's real so we all going to go back to analog so so we all going to go back to analog so so we all going to go back to analog so I'm so happy I reset my stereo last I'm so happy I reset my stereo last I'm so happy I reset my stereo last weekend and and I get my turntable back weekend and and I get my turntable back weekend and and I get my turntable back running again so good it's all about the running again so good it's all about the running again so good it's all about the turntable turntable turntable ex Leonard Leonard Leonard Leonard is ex Leonard Leonard Leonard Leonard is ex Leonard Leonard Leonard Leonard is there have you seen any of our iot there have you seen any of our iot there have you seen any of our iot friends there have you gone to Blues friends there have you gone to Blues friends there have you gone to Blues Wireless or ignan or any of those guys Wireless or ignan or any of those guys Wireless or ignan or any of those guys no not yet I I'm like stuck here in the no not yet I I'm like stuck here in the no not yet I I'm like stuck here in the West Hall until later on in the West Hall until later on in the West Hall until later on in the afternoon so I'm only halfway through my afternoon so I'm only halfway through my afternoon so I'm only halfway through my my CES Adventure here so yeah I I I'll my CES Adventure here so yeah I I I'll my CES Adventure here so yeah I I I'll catch up with them later uh but so um catch up with them later uh but so um catch up with them later uh but so um maybe we'll talk about it next week in a maybe we'll talk about it next week in a maybe we'll talk about it next week in a recap I think it's cool our good friend recap I think it's cool our good friend recap I think it's cool our good friend uh Alistair Fulton's working at Blues uh Alistair Fulton's working at Blues uh Alistair Fulton's working at Blues now so that's oh really yeah oh okay now so that's oh really yeah oh okay now so that's oh really yeah oh okay cool yeah I'll have to drop by and I cool yeah I'll have to drop by and I cool yeah I'll have to drop by and I mean I plan on dropping by anyways but mean I plan on dropping by anyways but mean I plan on dropping by anyways but uh yeah the iot part of my agenda has uh yeah the iot part of my agenda has uh yeah the iot part of my agenda has not uh you know I'm I'm not there yet not uh you know I'm I'm not there yet not uh you know I'm I'm not there yet but um um we know you're not there yet but um um we know you're not there yet but um um we know you're not there yet when it comes to iot so don't when it comes to iot so don't when it comes to iot so don't worry thank you thank you the year is worry thank you thank you the year is worry thank you thank you the year is the year yeah go get the rabbits and the year yeah go get the rabbits and the year yeah go get the rabbits and it's a good start rabbits yes rabbit R1 it's a good start rabbits yes rabbit R1 it's a good start rabbits yes rabbit R1 oh my God okay yeah all right well I got oh my God okay yeah all right well I got oh my God okay yeah all right well I got a jam you guys want to keep talking or a jam you guys want to keep talking or a jam you guys want to keep talking or we can shut it down hey what what's the we can shut it down hey what what's the we can shut it down hey what what's the cool part of C us we like to go to at cool part of C us we like to go to at cool part of C us we like to go to at the back of the Venetian um you know the back of the Venetian um you know the back of the Venetian um you know where all the startups are oh um uh

where all the startups are oh um uh where all the startups are oh um uh Eureka Park I'll be there too later yeah Eureka Park I'll be there too later yeah Eureka Park I'll be there too later yeah always like going there seeing what always like going there seeing what always like going there seeing what these kids are yeah that's always fun these kids are yeah that's always fun these kids are yeah that's always fun I'm sure I'm sure it's going to be crazy I'm sure I'm sure it's going to be crazy I'm sure I'm sure it's going to be crazy this year so I'll let you know yeah um this year so I'll let you know yeah um this year so I'll let you know yeah um I'll be doing some reports I'm gonna try I'll be doing some reports I'm gonna try I'll be doing some reports I'm gonna try to get them out next week and then um to get them out next week and then um to get them out next week and then um you know let's just do a recap next week you know let's just do a recap next week you know let's just do a recap next week and hopefully our iot coffee talk and hopefully our iot coffee talk and hopefully our iot coffee talk listeners will join in and get get get a listeners will join in and get get get a listeners will join in and get get get a scoop of reality on what's really scoop of reality on what's really scoop of reality on what's really happening here I I would have the naag happening here I I would have the naag happening here I I would have the naag on the back next week you what the naag on the back next week you what the naag on the back next week you what the naag the original rabbit iot we talked about the original rabbit iot we talked about the original rabbit iot we talked about earlier so I have it on the back next earlier so I have it on the back next earlier so I have it on the back next week okay all right is that like Donnie week okay all right is that like Donnie week okay all right is that like Donnie Darko never mind Darko never mind Darko never mind no who wants to take us no who wants to take us no who wants to take us out all right I think Bill should take out all right I think Bill should take out all right I think Bill should take us out yeah all right look us out yeah all right look us out yeah all right look 2024 um this is the year right all the 2024 um this is the year right all the 2024 um this is the year right all the money gets released infrastructure bill money gets released infrastructure bill money gets released infrastructure bill is knocking over money fivr is going to is knocking over money fivr is going to is knocking over money fivr is going to be everywhere everywhere you turn it's be everywhere everywhere you turn it's be everywhere everywhere you turn it's going to be Fiverr so you're not you going to be Fiverr so you're not you going to be Fiverr so you're not you don't have to worry about it we're going don't have to worry about it we're going don't have to worry about it we're going to we're going to bridge the digital to we're going to bridge the digital to we're going to bridge the digital divide we're going to solve the problems divide we're going to solve the problems divide we're going to solve the problems of AI we're going to solve the problems of AI we're going to solve the problems of AI we're going to solve the problems of immutability transparency governance of immutability transparency governance of immutability transparency governance and and and Providence this is the year it's Providence this is the year it's Providence this is the year it's happening now thank you everybody and happening now thank you everybody and happening now thank you everybody and look hit that like button come back and

look hit that like button come back and look hit that like button come back and listen to us again we will give you the listen to us again we will give you the listen to us again we will give you the truth until next week all right we're truth until next week all right we're truth until next week all right we're analog you get the truth from us yep analog you get the truth from us yep analog you get the truth from us yep that's right Allstar