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iOT Coffee Talk December 9, 2023 57m

IoT Coffee Talk: Episode 186 - The Innovator's Enigma - Who Cares?

Read full transcript 38 segments
  1. [Applause] [Applause] perfect [Applause] [Applause] [Music] [Music] [Music] [Applause] [Music] [Music] [Applause] [Applause] [Applause] [Music] [Applause] [Applause] oops yeah oops yeah oops yeah awesome awesome awesome dude awesome by the way this is the iot dude awesome by the way this is the iot dude awesome by the way this is the iot coffee talk first you know where I coffee talk first you know where I coffee talk first you know where I haven't done something post uh no haven't done something post uh no haven't done something post uh no actually yeah this is the first that's actually yeah this is the first that's actually yeah this is the first that's awesome great to to have you finally awesome great to to have you finally awesome great to to have you finally take something off your wall of guitars take something off your wall of guitars take something off your wall of guitars there it's awesome man I love it it's there it's awesome man I love it it's there it's awesome man I love it it's good that you're also in a hotel room in good that you're also in a hotel room in good that you're also in a hotel room in in California you don't have your gear in California you don't have your gear in California you don't have your gear with you with you with you so it really helps that I inability to so it really helps that I inability to so it really helps that I inability to play live what show are you at dude where

  2. live what show are you at dude where where are you who are you're in where are you who are you're in where are you who are you're in California I'm in cforia uh Marvel just California I'm in cforia uh Marvel just California I'm in cforia uh Marvel just finished uh Marvel's uh analyst day uh finished uh Marvel's uh analyst day uh finished uh Marvel's uh analyst day uh 2023 yesterday really good really well 2023 yesterday really good really well 2023 yesterday really good really well put together program it was pretty cool put together program it was pretty cool put together program it was pretty cool uh and then I'm headed to somoma for a uh and then I'm headed to somoma for a uh and then I'm headed to somoma for a silver linings um what do they call it silver linings um what do they call it silver linings um what do they call it Cloud executive Cloud executive Cloud executive Summit so a bunch of um Executives Summit so a bunch of um Executives Summit so a bunch of um Executives assembled there and I have like some assembled there and I have like some assembled there and I have like some speaking um speak you know I'm going to speaking um speak you know I'm going to speaking um speak you know I'm going to be moderating a panel it's more like a a be moderating a panel it's more like a a be moderating a panel it's more like a a fireside chat with no Fireside you know fireside chat with no Fireside you know fireside chat with no Fireside you know no fireplace obviously of course just no fireplace obviously of course just no fireplace obviously of course just the chat but then it is somoma so I the chat but then it is somoma so I the chat but then it is somoma so I could very well have a could very well have a could very well have a fireplace should do a live you should be fireplace should do a live you should be fireplace should do a live you should be doing wine reviews like on stage that's doing wine reviews like on stage that's doing wine reviews like on stage that's actually it turns out that's way more actually it turns out that's way more actually it turns out that's way more interesting and important than bunch of interesting and important than bunch of interesting and important than bunch of guys in Soma talking about the guys in Soma talking about the guys in Soma talking about the cloud well you cloud well you cloud well you know I think you're right you're you're speaking the truth right you're you're speaking the truth there rob it was a time when it seemed there rob it was a time when it seemed there rob it was a time when it seemed cool to talk about the cloud maybe with cool to talk about the cloud maybe with cool to talk about the cloud maybe with a bunch of analysts or whatever and now a bunch of analysts or whatever and now a bunch of analysts or whatever and now it's like whatever yeah yeah you know it's like whatever yeah yeah you know it's like whatever yeah yeah you know like a bunch of people getting together like a bunch of people getting together like a bunch of people getting together that play Dungeons and Dragons on the that play Dungeons and Dragons on the that play Dungeons and Dragons on the weekend you know what I'm saying it's weekend you know what I'm saying it's weekend you know what I'm saying it's like that like that like that you know just make stuff up and it's all

  3. you know just make stuff up and it's all you know just make stuff up and it's all about fantasy roleplay well you know the about fantasy roleplay well you know the about fantasy roleplay well you know the stay stream of Consciousness right there stay stream of Consciousness right there stay stream of Consciousness right there I because I'm an idiot um apparently I because I'm an idiot um apparently I because I'm an idiot um apparently this hot new game video game balder's this hot new game video game balder's this hot new game video game balder's gate three yeah it's being heavily gate three yeah it's being heavily gate three yeah it's being heavily played and and and as I learned from my played and and and as I learned from my played and and and as I learned from my middle son that it's actually just a middle son that it's actually just a middle son that it's actually just a recreation of Dungeons and Dragons It Is recreation of Dungeons and Dragons It Is recreation of Dungeons and Dragons It Is by Dungeons and Dragons yeah by Dungeons and Dragons yeah by Dungeons and Dragons yeah better is that wizards of the west or better is that wizards of the west or better is that wizards of the west or what the oh you're right right Wizards what the oh you're right right Wizards what the oh you're right right Wizards of the Coast those guys yeah yeah um I of the Coast those guys yeah yeah um I of the Coast those guys yeah yeah um I all I know is I I just I notic Scott all I know is I I just I notic Scott all I know is I I just I notic Scott hanselman's just playing at 247 down in hanselman's just playing at 247 down in hanselman's just playing at 247 down in Portland so really you know well wizards Portland so really you know well wizards Portland so really you know well wizards of the uh Coast actually I I did of the uh Coast actually I I did of the uh Coast actually I I did Consulting for them a long time ago they Consulting for them a long time ago they Consulting for them a long time ago they do like freaking card games dude they do like freaking card games dude they do like freaking card games dude they they don't do the magic yeah yeah yeah they don't do the magic yeah yeah yeah they don't do the magic yeah yeah yeah yeah yeah yeah big hit yeah um but I I bought balder's big hit yeah um but I I bought balder's big hit yeah um but I I bought balder's gate gate gate three to play three to play three to play it charm just like Windows three times it charm just like Windows three times it charm just like Windows three times was a charm you know or 3.1 times charm but yeah the the original version charm but yeah the the original version that came out man because I used to be a that came out man because I used to be a that came out man because I used to be a huge Dungeons and Dragons person you huge Dungeons and Dragons person you huge Dungeons and Dragons person you know when I was a kid right I'm sure you know when I was a kid right I'm sure you know when I was a kid right I'm sure you guys were too and man when that thing guys were too and man when that thing guys were too and man when that thing came out man it was like my metaverse

  4. came out man it was like my metaverse came out man it was like my metaverse moment you know what I'm saying it was moment you know what I'm saying it was moment you know what I'm saying it was like all my Dungeons and Dragons like all my Dungeons and Dragons like all my Dungeons and Dragons fantasies came true you know and um you fantasies came true you know and um you fantasies came true you know and um you know but the weird thing is is those know but the weird thing is is those know but the weird thing is is those games have not evolved that much over games have not evolved that much over games have not evolved that much over the years if you really think about it's the years if you really think about it's the years if you really think about it's like you know you still do that like you know you still do that like you know you still do that point-and-click point-and-click point-and-click navigation you bump into people and you navigation you bump into people and you navigation you bump into people and you say okay talk to this dude say okay talk to this dude say okay talk to this dude and then there's like a whole scripted and then there's like a whole scripted and then there's like a whole scripted thing that goes on like zor you know thing that goes on like zor you know thing that goes on like zor you know it's like very zores yeah yeah yeah yeah it's like very zores yeah yeah yeah yeah it's like very zores yeah yeah yeah yeah um but so I'm I'm tempted to try it out um but so I'm I'm tempted to try it out um but so I'm I'm tempted to try it out I just don't know if I you know just get I just don't know if I you know just get I just don't know if I you know just get a a freaking powerful powerful PC a a freaking powerful powerful PC a a freaking powerful powerful PC because um the only thing that it will because um the only thing that it will because um the only thing that it will run on yeah I got the Mac um Mac version run on yeah I got the Mac um Mac version run on yeah I got the Mac um Mac version uh and I've run it on several PC laptops uh and I've run it on several PC laptops uh and I've run it on several PC laptops and it didn't run and it didn't run and it didn't run well okay the only thing that it runs on well okay the only thing that it runs on well okay the only thing that it runs on is my Mac uh studio with the M1 and I is my Mac uh studio with the M1 and I is my Mac uh studio with the M1 and I have requires it requires the Nvidia have requires it requires the Nvidia have requires it requires the Nvidia h100 yeah some ridiculous crap like that h100 yeah some ridiculous crap like that h100 yeah some ridiculous crap like that yeah hey what's up Bill what's up we're yeah hey what's up Bill what's up we're yeah hey what's up Bill what's up we're talking about and Dragons this is gonna talking about and Dragons this is gonna talking about and Dragons this is gonna be the Dungeons and Dragons be the Dungeons and Dragons be the Dungeons and Dragons episode did you play Dungeons and episode did you play Dungeons and episode did you play Dungeons and Dragons I I did but I like shooting [ __ ] Dragons I I did but I like shooting [ __ ] Dragons I I did but I like shooting [ __ ] up and blowing stuff up up and blowing stuff up up and blowing stuff up and you know roll I've got that old

  5. and you know roll I've got that old and you know roll I've got that old school gangster mentality so I okay school gangster mentality so I okay school gangster mentality so I okay asking people for their cars and asking people for their cars and asking people for their cars and stealing it Grand Theft Auto Grand Theft stealing it Grand Theft Auto Grand Theft stealing it Grand Theft Auto Grand Theft Auto baby GTA you know yeah you you're probably like know yeah you you're probably like sitting there at the table where all sitting there at the table where all sitting there at the table where all these guys are rolling Dice and stuff these guys are rolling Dice and stuff these guys are rolling Dice and stuff like this like hey man this is like like this like hey man this is like like this like hey man this is like ridiculous you guys are a bunch of ridiculous you guys are a bunch of ridiculous you guys are a bunch of idiots you know I'm going home you know idiots you know I'm going home you know idiots you know I'm going home you know oh my God so so Leonard you know you oh my God so so Leonard you know you oh my God so so Leonard you know you said you're down there for the Marvell said you're down there for the Marvell said you're down there for the Marvell deal to give some people some trivia deal to give some people some trivia deal to give some people some trivia some ancient history trivia and that some ancient history trivia and that some ancient history trivia and that ties into Intel a lot of people a long ties into Intel a lot of people a long ties into Intel a lot of people a long long time ago said well Intel you're long time ago said well Intel you're long time ago said well Intel you're really late to the well they say that really late to the well they say that really late to the well they say that about lots of people you're late to the about lots of people you're late to the about lots of people you're late to the party you know with armed processors or party you know with armed processors or party you know with armed processors or not having really low power things for not having really low power things for not having really low power things for devices you weren't in the game but as devices you weren't in the game but as devices you weren't in the game but as it turns out they actually were in the it turns out they actually were in the it turns out they actually were in the game they were one of the first arm game they were one of the first arm game they were one of the first arm lies um if you had the compact ipac lies um if you had the compact ipac lies um if you had the compact ipac pocket PC you would have noticed it was pocket PC you would have noticed it was pocket PC you would have noticed it was a strong arm uh 200 megahertz processor a strong arm uh 200 megahertz processor a strong arm uh 200 megahertz processor well strong arm was the name that Intel well strong arm was the name that Intel well strong arm was the name that Intel gave their arm silicon that they did for gave their arm silicon that they did for gave their arm silicon that they did for a while and then after a while before a while and then after a while before a while and then after a while before the smartphone Revolution really took the smartphone Revolution really took the smartphone Revolution really took off they mistakenly thought well this is off they mistakenly thought well this is off they mistakenly thought well this is going nowhere it's just like you know going nowhere it's just like you know going nowhere it's just like you know pocket PCS and palm devices and so they pocket PCS and palm devices and so they pocket PCS and palm devices and so they sold that technology to marll yeah um sold that technology to marll yeah um sold that technology to marll yeah um and there and then the rest is history and there and then the rest is history and there and then the rest is history and then of course they launch lame

  6. and then of course they launch lame and then of course they launch lame processors like Adam and stuff like that processors like Adam and stuff like that processors like Adam and stuff like that yeah yeah yeah yeah you know um people I don't yeah yeah you know um people I don't think realize how how much um Intel think realize how how much um Intel think realize how how much um Intel invests early on in a lot of different invests early on in a lot of different invests early on in a lot of different um things out there you know and what um things out there you know and what um things out there you know and what you just cited uh Rob is a perfect you just cited uh Rob is a perfect you just cited uh Rob is a perfect example you know I I think the example you know I I think the example you know I I think the mainstream just thinks oh they're mainstream just thinks oh they're mainstream just thinks oh they're proprietary you know they do their own proprietary you know they do their own proprietary you know they do their own thing they're you know thing they're you know thing they're you know IDM um full stack integration you know IDM um full stack integration you know IDM um full stack integration you know vertically integrated you know vertically integrated you know vertically integrated you know conglomerate but uh they have their conglomerate but uh they have their conglomerate but uh they have their their I mean when I was doing research their I mean when I was doing research their I mean when I was doing research on uh this is like six years ago on on uh this is like six years ago on on uh this is like six years ago on Leading Edge technologies that will Leading Edge technologies that will Leading Edge technologies that will Define the next the the next 10 years uh Define the next the the next 10 years uh Define the next the the next 10 years uh they're they're all over their their they're they're all over their their they're they're all over their their fingerprints are over everything you fingerprints are over everything you fingerprints are over everything you know like IBM IBM is another company know like IBM IBM is another company know like IBM IBM is another company that I think is highly under that I think is highly under that I think is highly under underappreciated for the R&D and underappreciated for the R&D and underappreciated for the R&D and advanced technology development that advanced technology development that advanced technology development that they do I mean people know about the they do I mean people know about the they do I mean people know about the quantum stuff but they're so involved in quantum stuff but they're so involved in quantum stuff but they're so involved in other things other things other things but it is a a a great um I guess a but it is a a a great um I guess a but it is a a a great um I guess a reminder that you just did about how reminder that you just did about how reminder that you just did about how some of these big companies actually some of these big companies actually some of these big companies actually yeah are important in incubating some of yeah are important in incubating some of yeah are important in incubating some of these although with Intel they tend to these although with Intel they tend to these although with Intel they tend to incubate and like Rob said then they

  7. incubate and like Rob said then they incubate and like Rob said then they sort of sell it off then 10 years later sort of sell it off then 10 years later sort of sell it off then 10 years later they're like let's reincubate that and they're like let's reincubate that and they're like let's reincubate that and then they'll sell it off and then yeah then they'll sell it off and then yeah then they'll sell it off and then yeah they miss uncan knack for getting out of they miss uncan knack for getting out of they miss uncan knack for getting out of the market just in time for it to take the market just in time for it to take the market just in time for it to take off just in time to lose out on the off just in time to lose out on the off just in time to lose out on the whole whole whole thing [ __ ] over and over and over again thing [ __ ] over and over and over again thing [ __ ] over and over and over again they got the good have a good back swing they got the good have a good back swing they got the good have a good back swing just the follow through is not yeah yeah just the follow through is not yeah yeah just the follow through is not yeah yeah so we'll see last SL straight stuff so we'll see last SL straight stuff so we'll see last SL straight stuff go I think the reason IBM gets go I think the reason IBM gets go I think the reason IBM gets underappreciated is they just well like underappreciated is they just well like underappreciated is they just well like you talk with Intel you know the history you talk with Intel you know the history you talk with Intel you know the history of IBM going back several decades all of IBM going back several decades all of IBM going back several decades all they've been doing is just selling off they've been doing is just selling off they've been doing is just selling off every part of their company that every part of their company that every part of their company that Innovation and that's until it just Innovation and that's until it just Innovation and that's until it just turned into just a big consulting firm turned into just a big consulting firm turned into just a big consulting firm yeah you know and that's what people yeah you know and that's what people yeah you know and that's what people think of IBM that you know that's what think of IBM that you know that's what think of IBM that you know that's what they did they just kept selling off all they did they just kept selling off all they did they just kept selling off all the Innovative stuff hard drives laptops the Innovative stuff hard drives laptops the Innovative stuff hard drives laptops PCS blah blah blah you name it although PCS blah blah blah you name it although PCS blah blah blah you name it although although it was by Design right it was although it was by Design right it was although it was by Design right it was at l gersner or something I mean he he at l gersner or something I mean he he at l gersner or something I mean he he take it into more of a solution take it into more of a solution take it into more of a solution company yeah to your point to your point company yeah to your point to your point company yeah to your point to your point in the moment there in the early 90s it in the moment there in the early 90s it in the moment there in the early 90s it was to rescue the company cuz hey all was to rescue the company cuz hey all was to rescue the company cuz hey all you kids keeping track at home IBM used you kids keeping track at home IBM used you kids keeping track at home IBM used to be the biggest player in Tech and to be the biggest player in Tech and to be the biggest player in Tech and then they almost went out of business then they almost went out of business then they almost went out of business and they did the biggest layoffs in the and they did the biggest layoffs in the and they did the biggest layoffs in the history of layoffs in the early 90s um

  8. history of layoffs in the early 90s um history of layoffs in the early 90s um os2 didn't save them as it turns out you os2 didn't save them as it turns out you os2 didn't save them as it turns out you know um and it was this Phoenix Rising know um and it was this Phoenix Rising know um and it was this Phoenix Rising called Microsoft said we're divorcing called Microsoft said we're divorcing called Microsoft said we're divorcing you and os2 is not going to be the you and os2 is not going to be the you and os2 is not going to be the future it'll be this little Windows future it'll be this little Windows future it'll be this little Windows thingy and IBM just collapsed and I thingy and IBM just collapsed and I thingy and IBM just collapsed and I forgot how many two 300,000 people they forgot how many two 300,000 people they forgot how many two 300,000 people they laid off and they were teetering on laid off and they were teetering on laid off and they were teetering on going out of business you know as going out of business you know as going out of business you know as Microsoft broke away from it there's a Microsoft broke away from it there's a Microsoft broke away from it there's a lot of interesting history to read oh lot of interesting history to read oh lot of interesting history to read oh yeah well yeah well yeah well back Watson didn't predict it yeah but you know what there was it yeah but you know what there was another IBM Employee who did predict all another IBM Employee who did predict all another IBM Employee who did predict all of it and his name was Ross perau and of it and his name was Ross perau and of it and his name was Ross perau and Ross Ross Ross perau decades before said software is perau decades before said software is perau decades before said software is going to be more important than Hardware going to be more important than Hardware going to be more important than Hardware in the future and they're in the future and they're in the future and they're like you're full of [ __ ] and Ross was like you're full of [ __ ] and Ross was like you're full of [ __ ] and Ross was right he he left and created EDS and right he he left and created EDS and right he he left and created EDS and created all this stuff yeah there you go created all this stuff yeah there you go created all this stuff yeah there you go he was absolutely right um how many he was absolutely right um how many he was absolutely right um how many companies have been told by one of their companies have been told by one of their companies have been told by one of their employees I think this thing I'm working employees I think this thing I'm working employees I think this thing I'm working on is the future and they're like oh wnc on is the future and they're like oh wnc on is the future and they're like oh wnc this little thingy that you're working this little thingy that you're working this little thingy that you're working on with Steve's not going to be a big on with Steve's not going to be a big on with Steve's not going to be a big deal for HP so you just head on down or deal for HP so you just head on down or deal for HP so you just head on down or hi I'm Rod Canyon and me and my buddies hi I'm Rod Canyon and me and my buddies hi I'm Rod Canyon and me and my buddies here at Texas Instruments think we're here at Texas Instruments think we're here at Texas Instruments think we're going to invent this mobile portable going to invent this mobile portable going to invent this mobile portable Computing thing and it's going to be Computing thing and it's going to be Computing thing and it's going to be 100% IBM compatible that's so stupid go 100% IBM compatible that's so stupid go 100% IBM compatible that's so stupid go ahead and start Compact and change the

  9. ahead and start Compact and change the ahead and start Compact and change the world there are so many stories like world there are so many stories like world there are so many stories like this in Tech yeah that is that's what this in Tech yeah that is that's what this in Tech yeah that is that's what makes anything possible you know yeah makes anything possible you know yeah makes anything possible you know yeah yeah yeah I mean we we weren't sneaking yeah yeah I mean we we weren't sneaking yeah yeah I mean we we weren't sneaking out the door building our Tech we told out the door building our Tech we told out the door building our Tech we told you about it we got your permiss cuz you you about it we got your permiss cuz you you about it we got your permiss cuz you said said that's going said said that's going said said that's going nowhere that's the innovator's Dilemma nowhere that's the innovator's Dilemma nowhere that's the innovator's Dilemma right it's like the existing business right it's like the existing business right it's like the existing business you can't disrupt the existing business you can't disrupt the existing business you can't disrupt the existing business the cash cow and uh people are unwilling the cash cow and uh people are unwilling the cash cow and uh people are unwilling to make those bets and you know to make those bets and you know to make those bets and you know fortunately entrepreneurs are have fortunately entrepreneurs are have fortunately entrepreneurs are have conviction and they they get it done conviction and they they get it done conviction and they they get it done anyway of course we're only talking anyway of course we're only talking anyway of course we're only talking about the successful all the successful an interesting piece of successful an interesting piece of history for you this is a a Compact history for you this is a a Compact history for you this is a a Compact magazine from magazine from magazine from the80s and that's Rod Canyon that's like the80s and that's Rod Canyon that's like the80s and that's Rod Canyon that's like near me God I would encourage you I near me God I would encourage you I near me God I would encourage you I don't know if it's Netflix or where you don't know if it's Netflix or where you don't know if it's Netflix or where you can find it I think I B got it off of can find it I think I B got it off of can find it I think I B got it off of Apple TV or whatever there they made a Apple TV or whatever there they made a Apple TV or whatever there they made a documentary called silicon documentary called silicon documentary called silicon Cowboys about the guys from TI who broke Cowboys about the guys from TI who broke Cowboys about the guys from TI who broke away and created Compact and created away and created Compact and created away and created Compact and created portable Computing mobile Computing portable Computing mobile Computing portable Computing mobile Computing really who bought who bought compact really who bought who bought compact really who bought who bought compact though HP HP oh that's right yeah if you though HP HP oh that's right yeah if you though HP HP oh that's right yeah if you notice when you're buying HP servers or notice when you're buying HP servers or notice when you're buying HP servers or desktops you might Noti they're the desktops you might Noti they're the desktops you might Noti they're the compact names like if you remember compact names like if you remember compact names like if you remember compact Des Pro or you know anyway so

  10. compact Des Pro or you know anyway so compact Des Pro or you know anyway so much great history I would encourage you much great history I would encourage you much great history I would encourage you to watch this silk and cowboys thing to watch this silk and cowboys thing to watch this silk and cowboys thing it's only like an hour and a half long it's only like an hour and a half long it's only like an hour and a half long and it takes you through a bunch of and it takes you through a bunch of and it takes you through a bunch of rebels because there were a lot of rebels because there were a lot of rebels because there were a lot of people back back to our IBM discussion people back back to our IBM discussion people back back to our IBM discussion IBM was the biggest player in the World IBM was the biggest player in the World IBM was the biggest player in the World in Tech right um so they did the PC we in Tech right um so they did the PC we in Tech right um so they did the PC we all know about all the story of the PC all know about all the story of the PC all know about all the story of the PC and Doss and all that stuff and how all and Doss and all that stuff and how all and Doss and all that stuff and how all that played out and accidental Empires that played out and accidental Empires that played out and accidental Empires and things like that but then you have and things like that but then you have and things like that but then you have if you remember the term clone computers if you remember the term clone computers if you remember the term clone computers or clone Computing yeah yep the 80s you or clone Computing yeah yep the 80s you or clone Computing yeah yep the 80s you know and you're like what's that mean know and you're like what's that mean know and you're like what's that mean well what it means is these guys at well what it means is these guys at well what it means is these guys at compac because I got to know some of compac because I got to know some of compac because I got to know some of these guys because I worked with them these guys because I worked with them these guys because I worked with them and grew up in and grew up in and grew up in Houston one of they had they're the guys Houston one of they had they're the guys Houston one of they had they're the guys who went in and reverse engineered the who went in and reverse engineered the who went in and reverse engineered the IBM bios to make clone Computing IBM bios to make clone Computing IBM bios to make clone Computing possible which gave rise to them to Dell possible which gave rise to them to Dell possible which gave rise to them to Dell to everybody else who's not to everybody else who's not to everybody else who's not IBM and that's an interesting story IBM and that's an interesting story IBM and that's an interesting story about how you it's a legal story too about how you it's a legal story too about how you it's a legal story too about how you'll have an engineer who about how you'll have an engineer who about how you'll have an engineer who will will will observe he might have a observe how the observe he might have a observe how the observe he might have a observe how the BIOS Works in every way he'll BIOS Works in every way he'll BIOS Works in every way he'll create yes well you I work for Phoenix create yes well you I work for Phoenix create yes well you I work for Phoenix Technologies the BIOS you absolutely Technologies the BIOS you absolutely Technologies the BIOS you absolutely know then yes Neil coven and all those know then yes Neil coven and all those know then yes Neil coven and all those things yeah that was a whole the whole things yeah that was a whole the whole things yeah that was a whole the whole reverse you know clean room reverse reverse you know clean room reverse reverse you know clean room reverse engineering you had dirty engineers and engineering you had dirty engineers and engineering you had dirty engineers and clean clean clean Engineers yeah you got make sure they Engineers yeah you got make sure they Engineers yeah you got make sure they don't sue you or come out yeah and it don't sue you or come out yeah and it don't sue you or come out yeah and it stood up it stood up in court and that

  11. stood up it stood up in court and that stood up it stood up in court and that that blossomed into the whole third that blossomed into the whole third that blossomed into the whole third party business you know absolutely that party business you know absolutely that party business you know absolutely that show Netflix show with Lee show Netflix show with Lee show Netflix show with Lee Pace um oh yes yes Pace um oh yes yes Pace um oh yes yes catchon catch fire Catch Fire yeah they catchon catch fire Catch Fire yeah they catchon catch fire Catch Fire yeah they talk about that that whole show was talk about that that whole show was talk about that that whole show was based on compact yeah yeah yeah it's a based on compact yeah yeah yeah it's a based on compact yeah yeah yeah it's a great yeah it was a great show and so a great yeah it was a great show and so a great yeah it was a great show and so a lot of people didn't realize we had lot of people didn't realize we had lot of people didn't realize we had innovation in the innovation in the innovation in the 80s we did and a lot of people don't 80s we did and a lot of people don't 80s we did and a lot of people don't know that like once a month Bill Gates know that like once a month Bill Gates know that like once a month Bill Gates Rod Canyon from compact um doesn't work Rod Canyon from compact um doesn't work Rod Canyon from compact um doesn't work for me who is our favorite guy from for me who is our favorite guy from for me who is our favorite guy from Intel Andy Grove yeah right they were Intel Andy Grove yeah right they were Intel Andy Grove yeah right they were like meeting like meeting like meeting they were like meeting secretly like they were like meeting secretly like they were like meeting secretly like once a month or once every few months in once a month or once every few months in once a month or once every few months in an airport to basically talk strategize an airport to basically talk strategize an airport to basically talk strategize how their little worlds could take down how their little worlds could take down how their little worlds could take down the IBM the IBM the IBM Empire and it's really interesting that Empire and it's really interesting that Empire and it's really interesting that all this stuff was kind of going on all this stuff was kind of going on all this stuff was kind of going on behind the scenes how can we take down behind the scenes how can we take down behind the scenes how can we take down this giant monster you know they did this giant monster you know they did this giant monster you know they did they did they did they did yeah rest in peace Andy Grove you were a yeah rest in peace Andy Grove you were a yeah rest in peace Andy Grove you were a genius genius genius yeah we'll see if it can it'll happen yeah we'll see if it can it'll happen yeah we'll see if it can it'll happen again yeah um there's um I think there's again yeah um there's um I think there's again yeah um there's um I think there's some large companies that are I mean some large companies that are I mean some large companies that are I mean they're innovating they're inventing they're innovating they're inventing they're innovating they're inventing things on the Leading Edge of stuff things on the Leading Edge of stuff things on the Leading Edge of stuff really not that great at commercializing really not that great at commercializing really not that great at commercializing it it's so there's certain similarities

  12. it it's so there's certain similarities it it's so there's certain similarities to what you see saw with IBM right to what you see saw with IBM right to what you see saw with IBM right because even today IBM has IBM research because even today IBM has IBM research because even today IBM has IBM research amazing organization always has been um amazing organization always has been um amazing organization always has been um they've been on the Leading Edge of they've been on the Leading Edge of they've been on the Leading Edge of everything from Silicon all the way to everything from Silicon all the way to everything from Silicon all the way to AI Haven done exactly the greatest job AI Haven done exactly the greatest job AI Haven done exactly the greatest job of commercializing and you know of commercializing and you know of commercializing and you know capitalizing on a lot of the R&D yeah capitalizing on a lot of the R&D yeah capitalizing on a lot of the R&D yeah Advanced R&D that they've always Advanced R&D that they've always Advanced R&D that they've always pioneered and you know we see that also pioneered and you know we see that also pioneered and you know we see that also with like companies like Google and with like companies like Google and with like companies like Google and others where they have the X projects others where they have the X projects others where they have the X projects and you know and they have a whole slew and you know and they have a whole slew and you know and they have a whole slew of I mean they have like billions that of I mean they have like billions that of I mean they have like billions that they're investing in these projects and they're investing in these projects and they're investing in these projects and hardly any of them have amounted I mean hardly any of them have amounted I mean hardly any of them have amounted I mean look at IBM and their all the did stuff look at IBM and their all the did stuff look at IBM and their all the did stuff they did with Watson and AI like way they did with Watson and AI like way they did with Watson and AI like way back when I mean they were driving story back when I mean they were driving story back when I mean they were driving story a decade ago or more and project debater a decade ago or more and project debater a decade ago or more and project debater do you know what I'm saying project do you know what I'm saying project do you know what I'm saying project debat think about that that was only debat think about that that was only debat think about that that was only remember how they did remember ads more remember how they did remember ads more remember how they did remember ads more than a decade and a half ago smarter than a decade and a half ago smarter than a decade and a half ago smarter Planet they were basically talking about Planet they were basically talking about Planet they were basically talking about iot yeah back best best campaign dude I iot yeah back best best campaign dude I iot yeah back best best campaign dude I love that it was a good campaign but it love that it was a good campaign but it love that it was a good campaign but it was it early I don't know I I don't know was it early I don't know I I don't know was it early I don't know I I don't know me it equates to the who cares effect I I'm sorry it it's it's it's effect I I'm sorry it it's it's it's true right I mean just because you you true right I mean just because you you true right I mean just because you you innovate all right just because you innovate all right just because you innovate all right just because you create or just because you come up with create or just because you come up with create or just because you come up with something new the the question that you

  13. something new the the question that you something new the the question that you have to answer is who cares right it's have to answer is who cares right it's have to answer is who cares right it's actually a really damn good question I actually a really damn good question I actually a really damn good question I like okay so you end a t-shir you need a like okay so you end a t-shir you need a like okay so you end a t-shir you need a t-shirt called who cares who t-shirt called who cares who t-shirt called who cares who cares actually should say who cares actually should say who cares actually should say who gives Coffee Talk who cares the back who gives Coffee Talk who cares the back who gives Coffee Talk who cares the back who gives who cares man you know I mean look gives who cares man you know I mean look gives who cares man you know I mean look we we so that that kind of shifts we we so that that kind of shifts we we so that that kind of shifts everything right we could talk about all everything right we could talk about all everything right we could talk about all the Innovation that's taking place and the Innovation that's taking place and the Innovation that's taking place and how we've moved forward yeah and for me how we've moved forward yeah and for me how we've moved forward yeah and for me I don't see much in the way of Hardware I don't see much in the way of Hardware I don't see much in the way of Hardware doing a damn thing other than what it's doing a damn thing other than what it's doing a damn thing other than what it's done you know if if you really want to done you know if if you really want to done you know if if you really want to look at something Innovative then you're look at something Innovative then you're look at something Innovative then you're you're going to look at the infrastr you're going to look at the infrastr you're going to look at the infrastr structure pieces of it right intelligent structure pieces of it right intelligent structure pieces of it right intelligent infrastructure yeah um as opposed to infrastructure yeah um as opposed to infrastructure yeah um as opposed to anything else but it's not so much the anything else but it's not so much the anything else but it's not so much the hardware side that's that's doing hardware side that's that's doing hardware side that's that's doing anything it's all of the software anything it's all of the software anything it's all of the software components and the distributed compute components and the distributed compute components and the distributed compute and all of these other things that are and all of these other things that are and all of these other things that are gonna kind of be brought together then gonna kind of be brought together then gonna kind of be brought together then you can answer the question of who cares you can answer the question of who cares you can answer the question of who cares it's not so much the the citizens and it's not so much the the citizens and it's not so much the the citizens and everything like that it's it's the everything like that it's it's the everything like that it's it's the cities it's the feds it's it's all these cities it's the feds it's it's all these cities it's the feds it's it's all these you know large organizations that then you know large organizations that then you know large organizations that then are going to from my perspective push are going to from my perspective push are going to from my perspective push things down and change the way things things down and change the way things things down and change the way things operate we've said this several times operate we've said this several times operate we've said this several times right how do how how do cities and right how do how how do cities and right how do how how do cities and everything everything everything procure uh it's by procure uh it's by procure uh it's by RFP and and you know I've said it

  14. RFP and and you know I've said it RFP and and you know I've said it vocally in almost every instance that vocally in almost every instance that vocally in almost every instance that I've spoken that that is an Antiquated I've spoken that that is an Antiquated I've spoken that that is an Antiquated way to select a solution provider sure way to select a solution provider sure way to select a solution provider sure it's Antiquated because you typically it's Antiquated because you typically it's Antiquated because you typically it's not the cities themselves or the it's not the cities themselves or the it's not the cities themselves or the feds or anyone else that's writing the feds or anyone else that's writing the feds or anyone else that's writing the RFP it's a consultant or a Consulting RFP it's a consultant or a Consulting RFP it's a consultant or a Consulting house that has said this is what we're house that has said this is what we're house that has said this is what we're doing and this is who we like that RFP doing and this is who we like that RFP doing and this is who we like that RFP is written around that very seldom is it is written around that very seldom is it is written around that very seldom is it a fair free to play come bring your best a fair free to play come bring your best a fair free to play come bring your best and we'll do that and until until some and we'll do that and until until some and we'll do that and until until some of those things are innovated on of those things are innovated on of those things are innovated on transformed then we're going to get more transformed then we're going to get more transformed then we're going to get more of the same yeah but you know I I of the same yeah but you know I I of the same yeah but you know I I mean yeah software is great right uh but mean yeah software is great right uh but mean yeah software is great right uh but you know like so Bill you probably don't you know like so Bill you probably don't you know like so Bill you probably don't know I'm over I I attended Marvel's know I'm over I I attended Marvel's know I'm over I I attended Marvel's analyst day and when you look at what analyst day and when you look at what analyst day and when you look at what they're doing with photonics what they're doing with photonics what they're doing with photonics what they're doing with interconnect for data they're doing with interconnect for data they're doing with interconnect for data center uh when you look at what um center uh when you look at what um center uh when you look at what um they're trying to push in terms of the they're trying to push in terms of the they're trying to push in terms of the envelope of let's call AI Computing envelope of let's call AI Computing envelope of let's call AI Computing architectures for all this geni architectures for all this geni architectures for all this geni nonsense uh there is a lot of important nonsense uh there is a lot of important nonsense uh there is a lot of important in Innovation happening there but yes in Innovation happening there but yes in Innovation happening there but yes your question of and um you know who your question of and um you know who your question of and um you know who cares um I I I think at some point you cares um I I I think at some point you cares um I I I think at some point you care when these Innovations influence care when these Innovations influence care when these Innovations influence the economics everything else I I mean the economics everything else I I mean the economics everything else I I mean whether or not uh people will give a whether or not uh people will give a whether or not uh people will give a crap about gen AI applications and you

  15. crap about gen AI applications and you crap about gen AI applications and you know the pull that it has on innovating know the pull that it has on innovating know the pull that it has on innovating Innovations and inventions in on the you Innovations and inventions in on the you Innovations and inventions in on the you know Hardware side for data centers we know Hardware side for data centers we know Hardware side for data centers we we we'll see if that amounts to anything we we'll see if that amounts to anything we we'll see if that amounts to anything but um you know the you know I've said but um you know the you know I've said but um you know the you know I've said it before one of the things that really it before one of the things that really it before one of the things that really impresses me is the the Investments that impresses me is the the Investments that impresses me is the the Investments that are happening in Hardware that can are happening in Hardware that can are happening in Hardware that can enable a new level of uh favorable enable a new level of uh favorable enable a new level of uh favorable economics for everything else do you economics for everything else do you economics for everything else do you know what I'm saying and I don't think know what I'm saying and I don't think know what I'm saying and I don't think you know so it's about the system it's you know so it's about the system it's you know so it's about the system it's about how software and Hardware in about how software and Hardware in about how software and Hardware in whatever state they are at any given whatever state they are at any given whatever state they are at any given time can produce a value for the time can produce a value for the time can produce a value for the business uh you know constituents of business uh you know constituents of business uh you know constituents of these Technologies at a viable U set of these Technologies at a viable U set of these Technologies at a viable U set of Economics right I mean that's what Economics right I mean that's what Economics right I mean that's what ultimately matters so you can't divorce ultimately matters so you can't divorce ultimately matters so you can't divorce the two because like I think hopefully the two because like I think hopefully the two because like I think hopefully we've made it F this this uh Axiom we've made it F this this uh Axiom we've made it F this this uh Axiom famous here on iot coffee talk yeah you famous here on iot coffee talk yeah you famous here on iot coffee talk yeah you know software may be eating the world know software may be eating the world know software may be eating the world but you got to have freaking Hardware to but you got to have freaking Hardware to but you got to have freaking Hardware to run that [ __ ] on you know what I'm run that [ __ ] on you know what I'm run that [ __ ] on you know what I'm saying that's true right but I mean I saying that's true right but I mean I saying that's true right but I mean I mean I guess I guess to to me I I when I mean I guess I guess to to me I I when I mean I guess I guess to to me I I when I look at that I I say all right well so look at that I I say all right well so look at that I I say all right well so they're they're going to do you know they're they're going to do you know they're they're going to do you know data center interconnect and things like data center interconnect and things like data center interconnect and things like that yeah at the end of the day I'm that yeah at the end of the day I'm that yeah at the end of the day I'm still gonna ask the same question really still gonna ask the same question really still gonna ask the same question really who cares yeah it's a freaking great

  16. who cares yeah it's a freaking great who cares yeah it's a freaking great question no it is a really freaking and question no it is a really freaking and question no it is a really freaking and you know what a lot of these guys don't you know what a lot of these guys don't you know what a lot of these guys don't know they're just bu bu it because know they're just bu bu it because know they're just bu bu it because someone's throwing money at them exactly someone's throwing money at them exactly someone's throwing money at them exactly right at the end of the day um who cares right at the end of the day um who cares right at the end of the day um who cares about this crap because the answer to about this crap because the answer to about this crap because the answer to that question is whether or not these that question is whether or not these that question is whether or not these Investments and that market uh Investments and that market uh Investments and that market uh movement sticks you know and that is the movement sticks you know and that is the movement sticks you know and that is the that is you know whether it's you know that is you know whether it's you know that is you know whether it's you know AWS or any of these numbers of AWS or any of these numbers of AWS or any of these numbers of conferences in Industry that is the big conferences in Industry that is the big conferences in Industry that is the big question right now well who cares great question right now well who cares great question right now well who cares great you're selling a bunch of crap right you're selling a bunch of crap right you're selling a bunch of crap right people are buying your stuff but who people are buying your stuff but who people are buying your stuff but who cares at the end of the day but I think cares at the end of the day but I think cares at the end of the day but I think also going back to your earlier comment also going back to your earlier comment also going back to your earlier comment about IBM in the ' 80s and stuff I back about IBM in the ' 80s and stuff I back about IBM in the ' 80s and stuff I back when this stuff was forming people were when this stuff was forming people were when this stuff was forming people were just building stuff and then building just building stuff and then building just building stuff and then building faster stuff and building faster stuff faster stuff and building faster stuff faster stuff and building faster stuff and they're and that there wasn't a it and they're and that there wasn't a it and they're and that there wasn't a it wasn't about Solutions right it was just wasn't about Solutions right it was just wasn't about Solutions right it was just about building more stuff and faster about building more stuff and faster about building more stuff and faster stuff we sort of flipped at some point stuff we sort of flipped at some point stuff we sort of flipped at some point there was a flip and now we're talking there was a flip and now we're talking there was a flip and now we're talking about well we need solutions to solve about well we need solutions to solve about well we need solutions to solve business problems and they need to fit business problems and they need to fit business problems and they need to fit inside an Roi and they need to be inside an Roi and they need to be inside an Roi and they need to be systems and and so the industry is kind systems and and so the industry is kind systems and and so the industry is kind of flipped and so folks that are still of flipped and so folks that are still of flipped and so folks that are still in the old school of like well I'm just in the old school of like well I'm just in the old school of like well I'm just building this new chip and it's faster building this new chip and it's faster building this new chip and it's faster than the old chip I mean you know to than the old chip I mean you know to than the old chip I mean you know to Bill's Point who cares I think you know Bill's Point who cares I think you know Bill's Point who cares I think you know I was talking to Olive semiconductor I was talking to Olive semiconductor I was talking to Olive semiconductor yesterday down in Pleasanton and he's bu yesterday down in Pleasanton and he's bu yesterday down in Pleasanton and he's bu he's built this really awesome chip this he's built this really awesome chip this he's built this really awesome chip this kind of tiny cortex M ethos m55 you know

  17. kind of tiny cortex M ethos m55 you know kind of tiny cortex M ethos m55 you know AI accelerated thing it's like you know AI accelerated thing it's like you know AI accelerated thing it's like you know the tech is if it's not part of a the tech is if it's not part of a the tech is if it's not part of a solution doesn't even really exist solution doesn't even really exist solution doesn't even really exist anymore right I mean that's kind of like anymore right I mean that's kind of like anymore right I mean that's kind of like the tree falling in the forest and so the tree falling in the forest and so the tree falling in the forest and so his whole attitude is like well we're his whole attitude is like well we're his whole attitude is like well we're building like this you know tiny eyed building like this you know tiny eyed building like this you know tiny eyed peel and stick AI Vision thing like peel and stick AI Vision thing like peel and stick AI Vision thing like that's our thing and this chip is that's our thing and this chip is that's our thing and this chip is designed to power that scenario and and designed to power that scenario and and designed to power that scenario and and that can be used for inventory tracking that can be used for inventory tracking that can be used for inventory tracking and blah blah blah so I think even a lot and blah blah blah so I think even a lot and blah blah blah so I think even a lot of these tech companies are are getting of these tech companies are are getting of these tech companies are are getting more solution thinking into what they're more solution thinking into what they're more solution thinking into what they're building they're like I'm building this building they're like I'm building this building they're like I'm building this to solve these problems as opposed to to solve these problems as opposed to to solve these problems as opposed to just I'm you know Upp in the clock or just I'm you know Upp in the clock or just I'm you know Upp in the clock or I'm putting more memory on it so I'm putting more memory on it so I'm putting more memory on it so hopefully you know that seems to be more hopefully you know that seems to be more hopefully you know that seems to be more of the norm these days than the old of the norm these days than the old of the norm these days than the old school which is you know just just you school which is you know just just you school which is you know just just you know crank out a better one or whatever know crank out a better one or whatever know crank out a better one or whatever the last one was which you know still is the last one was which you know still is the last one was which you know still is a little bit out there you know but who a little bit out there you know but who a little bit out there you know but who G who cares if it's just faster if it's G who cares if it's just faster if it's G who cares if it's just faster if it's not right it always used to be about not right it always used to be about not right it always used to be about speed I do remember in the early speed I do remember in the early speed I do remember in the early 2000s when Intel hit a wall of 2000s when Intel hit a wall of 2000s when Intel hit a wall of performance and too much heat you know performance and too much heat you know performance and too much heat you know they had been increasing megahertz they had been increasing megahertz they had been increasing megahertz gigahertz and all that kind of stuff on gigahertz and all that kind of stuff on gigahertz and all that kind of stuff on their CPUs and then people were their CPUs and then people were their CPUs and then people were expecting them to come out with a 4 GHz expecting them to come out with a 4 GHz expecting them to come out with a 4 GHz speed chip and they finally came out and speed chip and they finally came out and speed chip and they finally came out and said we can't do it or we can it's just said we can't do it or we can it's just said we can't do it or we can it's just burning up it's too hot we can't ship PE burning up it's too hot we can't ship PE burning up it's too hot we can't ship PE no one can ship PCS or servers with this no one can ship PCS or servers with this no one can ship PCS or servers with this thing it's and so they backed off and thing it's and so they backed off and thing it's and so they backed off and then they changed the way they do then they changed the way they do then they changed the way they do sending you know voltage through Gates sending you know voltage through Gates sending you know voltage through Gates and stuff like that remember they were and stuff like that remember they were and stuff like that remember they were just and and they had to rethink

  18. just and and they had to rethink just and and they had to rethink everything and all of a sudden we backed everything and all of a sudden we backed everything and all of a sudden we backed down to 1.7 you know gigahertz you know down to 1.7 you know gigahertz you know down to 1.7 you know gigahertz you know processors and 2.0 and things like that processors and 2.0 and things like that processors and 2.0 and things like that and people are like are we going slower and people are like are we going slower and people are like are we going slower but it was when we started getting into but it was when we started getting into but it was when we started getting into a different way of doing it multi and a different way of doing it multi and a different way of doing it multi and then having many cores and stuff like then having many cores and stuff like then having many cores and stuff like that went number of cores and yeah and that went number of cores and yeah and that went number of cores and yeah and then someone also said hey maybe power then someone also said hey maybe power then someone also said hey maybe power consumption is a factor too maybe we consumption is a factor too maybe we consumption is a factor too maybe we shouldn't be eating up so much energy shouldn't be eating up so much energy shouldn't be eating up so much energy and then that became a thing yeah and so and then that became a thing yeah and so and then that became a thing yeah and so this rocket ship of speed just this rocket ship of speed just this rocket ship of speed just went looking at other stuff yeah but went looking at other stuff yeah but went looking at other stuff yeah but there's still elements of that you know there's still elements of that you know there's still elements of that you know in the culture of you know coming out in the culture of you know coming out in the culture of you know coming out with the next thing that's bigger and with the next thing that's bigger and with the next thing that's bigger and better but uh what end you know you're better but uh what end you know you're better but uh what end you know you're right it's got to be to what it doesn't right it's got to be to what it doesn't right it's got to be to what it doesn't seem to be a lack of an appetite to seem to be a lack of an appetite to seem to be a lack of an appetite to consume so you know we wouldn't be a consume so you know we wouldn't be a consume so you know we wouldn't be a great talk show here and on Tech if we great talk show here and on Tech if we great talk show here and on Tech if we weren't breaking news so today we're weren't breaking news so today we're weren't breaking news so today we're breaking Google breaking Google breaking Google Gemini which is their newest thing in Gemini which is their newest thing in Gemini which is their newest thing in their llm to take on chat GPT and it's their llm to take on chat GPT and it's their llm to take on chat GPT and it's supposed to be faster than GPT 4 and supposed to be faster than GPT 4 and supposed to be faster than GPT 4 and faster see there you go it's faster faster see there you go it's faster faster see there you go it's faster therefore it's better more stuff we've therefore it's better more stuff we've therefore it's better more stuff we've got more parameters useless we have got more parameters useless we have got more parameters useless we have trillions more parameters than trillions trillions more parameters than trillions trillions more parameters than trillions of of of parameters to billions yeah how does it parameters to billions yeah how does it parameters to billions yeah how does it operate with Wi-Fi operate with Wi-Fi operate with Wi-Fi 8 we're running it on top of Wi-Fi 8 you 8 we're running it on top of Wi-Fi 8 you 8 we're running it on top of Wi-Fi 8 you know know know scientific yeah um anyway go check it

  19. scientific yeah um anyway go check it scientific yeah um anyway go check it out folks you heard it here we broke it out folks you heard it here we broke it out folks you heard it here we broke it here Google I their new generative AI here Google I their new generative AI here Google I their new generative AI stuff that's even faster better awesomer stuff that's even faster better awesomer stuff that's even faster better awesomer awesomer yeah awesomer that a word no awesomer yeah awesomer that a word no awesomer yeah awesomer that a word no yeah I think you're gonna end up with so yeah I think you're gonna end up with so yeah I think you're gonna end up with so many of these kind of foundational many of these kind of foundational many of these kind of foundational models to choose from and they'll all be models to choose from and they'll all be models to choose from and they'll all be absorbed and hidden and op fiscated absorbed and hidden and op fiscated absorbed and hidden and op fiscated behind Solutions ultimately you won't behind Solutions ultimately you won't behind Solutions ultimately you won't even know what it's running on at some even know what it's running on at some even know what it's running on at some point so but you know more power to them point so but you know more power to them point so but you know more power to them I mean I think that's the Innovation I mean I think that's the Innovation I mean I think that's the Innovation that's happening I'm actually more that's happening I'm actually more that's happening I'm actually more interested in the Lang models that are interested in the Lang models that are interested in the Lang models that are getting smaller than larger run on Lower getting smaller than larger run on Lower getting smaller than larger run on Lower power silicon and still get you know power silicon and still get you know power silicon and still get you know still solve problems because I think still solve problems because I think still solve problems because I think that's the it's easy if you have that's the it's easy if you have that's the it's easy if you have unlimited you know horsepower and data unlimited you know horsepower and data unlimited you know horsepower and data centers and h20s it's harder when you're centers and h20s it's harder when you're centers and h20s it's harder when you're like trying to run on constrained like trying to run on constrained like trying to run on constrained environments with cost and power and environments with cost and power and environments with cost and power and other things so no you're so right and other things so no you're so right and other things so no you're so right and so so to that point there is a nano Pro so so to that point there is a nano Pro so so to that point there is a nano Pro and Ultra version of Gemini for and Ultra version of Gemini for and Ultra version of Gemini for different size silicon and and different size silicon and and different size silicon and and apparently the Nano might work on a apparently the Nano might work on a apparently the Nano might work on a smartphone so uh we might have to kick smartphone so uh we might have to kick smartphone so uh we might have to kick the tires on that stuff this week and the tires on that stuff this week and the tires on that stuff this week and play with it on Snapdragon see what play with it on Snapdragon see what play with it on Snapdragon see what happens yeah yeah absolutely um and you happens yeah yeah absolutely um and you happens yeah yeah absolutely um and you know our friends at San Diego are know our friends at San Diego are know our friends at San Diego are thrilled thrilled thrilled yeah right but you know it it's yeah right but you know it it's yeah right but you know it it's interesting what you said interesting what you said interesting what you said um Pete um um Pete um um Pete um these these models are getting smaller I these these models are getting smaller I these these models are getting smaller I think a lot of the hyper scalers is

  20. think a lot of the hyper scalers is think a lot of the hyper scalers is seeing the pressure of having to figure seeing the pressure of having to figure seeing the pressure of having to figure out how to monetize this because they're out how to monetize this because they're out how to monetize this because they're not doing this as Charity right how to not doing this as Charity right how to not doing this as Charity right how to monetize this stuff as things get more monetize this stuff as things get more monetize this stuff as things get more you know application or domain specific you know application or domain specific you know application or domain specific or Enterprise or you know specific or Enterprise or you know specific or Enterprise or you know specific because I think the initial thinking was because I think the initial thinking was because I think the initial thinking was oh hey um you're gonna have this Uber oh hey um you're gonna have this Uber oh hey um you're gonna have this Uber search and you're gonna be able to make search and you're gonna be able to make search and you're gonna be able to make even more money and all the excitement even more money and all the excitement even more money and all the excitement shifted to Microsoft with this thesis shifted to Microsoft with this thesis shifted to Microsoft with this thesis that somehow you frontend one of these that somehow you frontend one of these that somehow you frontend one of these gpts in front of uh you know brag thingy gpts in front of uh you know brag thingy gpts in front of uh you know brag thingy with ban chat and then all of a sudden with ban chat and then all of a sudden with ban chat and then all of a sudden there's going to be this whole new there's going to be this whole new there's going to be this whole new Revolution in how you can monetize Revolution in how you can monetize Revolution in how you can monetize search well how's that worked out right search well how's that worked out right search well how's that worked out right uh and I think you know it's become less uh and I think you know it's become less uh and I think you know it's become less of a differentiated thing because you of a differentiated thing because you of a differentiated thing because you know very quickly uh Google can just know very quickly uh Google can just know very quickly uh Google can just flip around and you know come up with an flip around and you know come up with an flip around and you know come up with an answer and that's a scary thing how answer and that's a scary thing how answer and that's a scary thing how quickly everyone can just like pivot on quickly everyone can just like pivot on quickly everyone can just like pivot on this crap like AWS with Amazon Q I mean this crap like AWS with Amazon Q I mean this crap like AWS with Amazon Q I mean that's that's the answer to co-pilot and that's that's the answer to co-pilot and that's that's the answer to co-pilot and they just did it like that and you know they just did it like that and you know they just did it like that and you know it's not that they did something it's not that they did something it's not that they did something remarkable you're just front ending your remarkable you're just front ending your remarkable you're just front ending your tool chain and your tool sets for your tool chain and your tool sets for your tool chain and your tool sets for your customers with this stuff and it I mean customers with this stuff and it I mean customers with this stuff and it I mean it's not rocket science I I and you know it's not rocket science I I and you know it's not rocket science I I and you know it's just like I think it's funny when it's just like I think it's funny when it's just like I think it's funny when people go oh my god look what they did people go oh my god look what they did people go oh my god look what they did they were so innovated like no they they were so innovated like no they they were so innovated like no they freaking you know you have open you have

  21. freaking you know you have open you have freaking you know you have open you have an API you're tapping LM or you know an API you're tapping LM or you know an API you're tapping LM or you know whatever and you're just somehow whatever and you're just somehow whatever and you're just somehow stitching it into an existing app or a stitching it into an existing app or a stitching it into an existing app or a chatbot framework right or application chatbot framework right or application chatbot framework right or application leard are you saying there's no leard are you saying there's no leard are you saying there's no innovation are you saying this is innovation are you saying this is innovation are you saying this is basically like they took a long basically like they took a long basically like they took a long extension cord that was plugged into extension cord that was plugged into extension cord that was plugged into your power out in the yarn and then you your power out in the yarn and then you your power out in the yarn and then you had like a splitter and you plugged in a had like a splitter and you plugged in a had like a splitter and you plugged in a bunch of other extension cords to it to bunch of other extension cords to it to bunch of other extension cords to it to power other things and the people who power other things and the people who power other things and the people who are using that think it's all coming are using that think it's all coming are using that think it's all coming from you but it's really coming from from you but it's really coming from from you but it's really coming from this other thing you a way of with words thing you a way of with words from well that's what copilot is and from well that's what copilot is and from well that's what copilot is and that's what what I mean you know that's what what I mean you know that's what what I mean you know somebody else you know I'm I'm sitting somebody else you know I'm I'm sitting somebody else you know I'm I'm sitting there talking I mean it's just like okay there talking I mean it's just like okay there talking I mean it's just like okay um how is this not like you just putting um how is this not like you just putting um how is this not like you just putting a gen AI lipstick on existing tool you a gen AI lipstick on existing tool you a gen AI lipstick on existing tool you know well even GitHub right even GitHub know well even GitHub right even GitHub know well even GitHub right even GitHub with uh you know co-pilot for uh you with uh you know co-pilot for uh you with uh you know co-pilot for uh you know coding or whatever the hell they know coding or whatever the hell they know coding or whatever the hell they call it the same freaking thing you know call it the same freaking thing you know call it the same freaking thing you know yeah although I would say there's you yeah although I would say there's you yeah although I would say there's you know so it's it's all based on the know so it's it's all based on the know so it's it's all based on the generative AI models but you know generative AI models but you know generative AI models but you know applying them does matter like I know applying them does matter like I know applying them does matter like I know Cadence is working on some stuff where Cadence is working on some stuff where Cadence is working on some stuff where they've announced some stuff where they they've announced some stuff where they they've announced some stuff where they can use generative AI to help with board can use generative AI to help with board can use generative AI to help with board layout and antenna layout and stuff like layout and antenna layout and stuff like layout and antenna layout and stuff like that so if you're a company that's has that so if you're a company that's has that so if you're a company that's has 100 Engineers doing that stuff and Now 100 Engineers doing that stuff and Now 100 Engineers doing that stuff and Now Cadence can help you get it done in a Cadence can help you get it done in a Cadence can help you get it done in a few hours that used to take a few weeks

  22. few hours that used to take a few weeks few hours that used to take a few weeks that's a great application of an llm to that's a great application of an llm to that's a great application of an llm to solve a real business problem and it's solve a real business problem and it's solve a real business problem and it's the same same Foundation model that's the same same Foundation model that's the same same Foundation model that's powering the cat poems right um you're powering the cat poems right um you're powering the cat poems right um you're just training it on different data to just training it on different data to just training it on different data to solve a different problem and that's the solve a different problem and that's the solve a different problem and that's the way it's supposed to work you know yeah way it's supposed to work you know yeah way it's supposed to work you know yeah yeah I mean there's no doubt there's um yeah I mean there's no doubt there's um yeah I mean there's no doubt there's um so especially on the design front you so especially on the design front you so especially on the design front you hear um instances where people say look hear um instances where people say look hear um instances where people say look there's acceleration but here's a key there's acceleration but here's a key there's acceleration but here's a key word at the task level task they never word at the task level task they never word at the task level task they never say the whole process right they would say the whole process right they would say the whole process right they would say task and that task could be you know say task and that task could be you know say task and that task could be you know okay yeah we you know we converted like okay yeah we you know we converted like okay yeah we you know we converted like freaking freaking freaking Cobalt Cobalt into Java or whatever um Cobalt Cobalt into Java or whatever um Cobalt Cobalt into Java or whatever um hey uh that task using uh you know um uh hey uh that task using uh you know um uh hey uh that task using uh you know um uh code generation Tool uh might have taken code generation Tool uh might have taken code generation Tool uh might have taken you X number of hours plus validation you X number of hours plus validation you X number of hours plus validation and stuff but when you use the geni Tool and stuff but when you use the geni Tool and stuff but when you use the geni Tool uh it's not like the other steps the uh it's not like the other steps the uh it's not like the other steps the other tasks in the development life other tasks in the development life other tasks in the development life cycle disappear right you actually have cycle disappear right you actually have cycle disappear right you actually have to be modified because you're you're to be modified because you're you're to be modified because you're you're going to have to validate a piece of going to have to validate a piece of going to have to validate a piece of code that came out that um an expert code that came out that um an expert code that came out that um an expert didn't generate right it's a template so didn't generate right it's a template so didn't generate right it's a template so um you know now of course these things

  23. um you know now of course these things um you know now of course these things will get better um whether or not they will get better um whether or not they will get better um whether or not they will automate and you know streamline will automate and you know streamline will automate and you know streamline and in a transformative way or and in a transformative way or and in a transformative way or revolutionary way change the way that we revolutionary way change the way that we revolutionary way change the way that we design um software or build design um software or build design um software or build software we'll software we'll software we'll see out you know what I'm saying and but see out you know what I'm saying and but see out you know what I'm saying and but you know boils down to the fundamental you know boils down to the fundamental you know boils down to the fundamental capability the possibilities with the capability the possibilities with the capability the possibilities with the technology and when I was at AWS dude technology and when I was at AWS dude technology and when I was at AWS dude and we were we there was the AI panel and we were we there was the AI panel and we were we there was the AI panel one of the guys who's from Hartford okay one of the guys who's from Hartford okay one of the guys who's from Hartford okay insurance company that's looking at at insurance company that's looking at at insurance company that's looking at at this stuff when I asked the question this stuff when I asked the question this stuff when I asked the question about mod uh you know like model drift about mod uh you know like model drift about mod uh you know like model drift and uh collapse and all these other and uh collapse and all these other and uh collapse and all these other issues Beyond just hallucination he issues Beyond just hallucination he issues Beyond just hallucination he totally validated up on stage he's like totally validated up on stage he's like totally validated up on stage he's like these are big problems and and um you these are big problems and and um you these are big problems and and um you have to have to have to constantly Monitor and manage these um constantly Monitor and manage these um constantly Monitor and manage these um gen models if you think it's fired gen models if you think it's fired gen models if you think it's fired forget right forget right forget right good but there is that inexurable Trend good but there is that inexurable Trend good but there is that inexurable Trend I mean it's like you know five years I mean it's like you know five years I mean it's like you know five years from now virtually everybody I think is from now virtually everybody I think is from now virtually everybody I think is going to be using gen in some part of going to be using gen in some part of going to be using gen in some part of their workflow and something and it's so their workflow and something and it's so their workflow and something and it's so sort of like yeah today like you can't sort of like yeah today like you can't sort of like yeah today like you can't you know people today that are starting you know people today that are starting you know people today that are starting to drive all these cars have like to drive all these cars have like to drive all these cars have like cameras and sensors and stuff just like cameras and sensors and stuff just like cameras and sensors and stuff just like you know if you told them five or 10 you know if you told them five or 10 you know if you told them five or 10 years from now you don't have this gen

  24. years from now you don't have this gen years from now you don't have this gen assistant helping you they'd be like assistant helping you they'd be like assistant helping you they'd be like what I mean how is that even possible what I mean how is that even possible what I mean how is that even possible you like driving a car without cameras you like driving a car without cameras you like driving a car without cameras and sensors it's like you know how do and sensors it's like you know how do and sensors it's like you know how do you have like fun with a a gen Z or a you have like fun with a a gen Z or a you have like fun with a a gen Z or a millennial you know with a car give them millennial you know with a car give them millennial you know with a car give them a car with a stick shift yeah they have a car with a stick shift yeah they have a car with a stick shift yeah they have no idea what to do they they can't steal no idea what to do they they can't steal no idea what to do they they can't steal a manual car if they wanted to they're a manual car if they wanted to they're a manual car if they wanted to they're like what is this thing what what I like what is this thing what what I like what is this thing what what I don't know what the clutch is no you're don't know what the clutch is no you're don't know what the clutch is no you're right it just builds and builds and right it just builds and builds and right it just builds and builds and builds and and people forget and they builds and and people forget and they builds and and people forget and they lose skills that they needed before lose skills that they needed before lose skills that they needed before because they don't need them anymore and because they don't need them anymore and because they don't need them anymore and now yeah we're all standing on should now yeah we're all standing on should now yeah we're all standing on should hopefully it generate some new skills I hopefully it generate some new skills I hopefully it generate some new skills I mean I was talking to someone yesterday mean I was talking to someone yesterday mean I was talking to someone yesterday who was was saying oh I can't wait for who was was saying oh I can't wait for who was was saying oh I can't wait for the Gen board layout you know capability the Gen board layout you know capability the Gen board layout you know capability so I don't have to have as many so I don't have to have as many so I don't have to have as many Engineers like go well those Engineers Engineers like go well those Engineers Engineers like go well those Engineers can do something else more productive can do something else more productive can do something else more productive than you know they'll do validation than you know they'll do validation than you know they'll do validation we're we're gonna we're gonna free them we're we're gonna we're gonna free them we're we're gonna we're gonna free them up to work on higher level tasks right actually they're gon that's code right actually they're gon that's code for you're gonna go spend more time with for you're gonna go spend more time with for you're gonna go spend more time with your family well you know you know so uh your family well you know you know so uh your family well you know you know so uh did you see the um uh Intel Intel did did you see the um uh Intel Intel did did you see the um uh Intel Intel did some study they sponsored some study and some study they sponsored some study and some study they sponsored some study and said after a year only 10% of said after a year only 10% of said after a year only 10% of Enterprises I mean you have to take all Enterprises I mean you have to take all Enterprises I mean you have to take all the stuff with the grain of salt 10% the stuff with the grain of salt 10% the stuff with the grain of salt 10% have adopted adopted whatever the hell have adopted adopted whatever the hell have adopted adopted whatever the hell that means uh gen and into their uh that means uh gen and into their uh that means uh gen and into their uh businesses 10% that sounds fair I mean businesses 10% that sounds fair I mean businesses 10% that sounds fair I mean it's early days still it's just you know

  25. it's early days still it's just you know it's early days still it's just you know copilot just GAO a couple months ago I copilot just GAO a couple months ago I copilot just GAO a couple months ago I mean I think if you ask that question 18 mean I think if you ask that question 18 mean I think if you ask that question 18 months from now it'll probably be you months from now it'll probably be you months from now it'll probably be you know 30 40% some well you know also the know 30 40% some well you know also the know 30 40% some well you know also the big question is what the hell does big question is what the hell does big question is what the hell does adoption mean but I I I I agree with you adoption mean but I I I I agree with you adoption mean but I I I I agree with you dude um it's just going to be a fabric dude um it's just going to be a fabric dude um it's just going to be a fabric that I think you know again going back that I think you know again going back that I think you know again going back to so Dylan Patel yesterday you know I to so Dylan Patel yesterday you know I to so Dylan Patel yesterday you know I tried to get this kid I know if you guys tried to get this kid I know if you guys tried to get this kid I know if you guys know who Dylan Patel is but I mean this know who Dylan Patel is but I mean this know who Dylan Patel is but I mean this kid is like a [ __ ] rock star in in kid is like a [ __ ] rock star in in kid is like a [ __ ] rock star in in the anals Community here you know uh for the anals Community here you know uh for the anals Community here you know uh for semiconductors um yeah he's just blowing semiconductors um yeah he's just blowing semiconductors um yeah he's just blowing up right but the thing that he and I up right but the thing that he and I up right but the thing that he and I have going on is I try to get him to have going on is I try to get him to have going on is I try to get him to tell me how old I am washed up and just tell me how old I am washed up and just tell me how old I am washed up and just like freaking you know ridiculous I am like freaking you know ridiculous I am like freaking you know ridiculous I am about geni right and this kid uh you about geni right and this kid uh you about geni right and this kid uh you know it's funny because he um he ends up know it's funny because he um he ends up know it's funny because he um he ends up doing this prophetic um stuff where doing this prophetic um stuff where doing this prophetic um stuff where he'll he'll when he's supposed to roast he'll he'll when he's supposed to roast he'll he'll when he's supposed to roast me he'll just say something that's me he'll just say something that's me he'll just say something that's completely truthful you know and um one completely truthful you know and um one completely truthful you know and um one of the things um is who's going to pay of the things um is who's going to pay of the things um is who's going to pay for this stuff and he he asked me well for this stuff and he he asked me well for this stuff and he he asked me well are you paying for this stuff um any of are you paying for this stuff um any of are you paying for this stuff um any of the AI functions I said the AI functions I said the AI functions I said no and and you know the big question is no and and you know the big question is no and and you know the big question is here is this stuff just going to be like here is this stuff just going to be like here is this stuff just going to be like what you know Stephie said this a while what you know Stephie said this a while what you know Stephie said this a while back just you know a an incremental

  26. back just you know a an incremental back just you know a an incremental expected uh you know Improvement expected uh you know Improvement expected uh you know Improvement functionality right um is it really functionality right um is it really functionality right um is it really going to change the way we engage with going to change the way we engage with going to change the way we engage with uh um uh Technologies or you know uh um uh Technologies or you know uh um uh Technologies or you know personal Computing stuff uh at large personal Computing stuff uh at large personal Computing stuff uh at large right not in specific little yeah they right not in specific little yeah they right not in specific little yeah they going to be niche going to be niche going to be niche applications are going to be highly applications are going to be highly applications are going to be highly valuable no doubt that's always the case valuable no doubt that's always the case valuable no doubt that's always the case right but you know this this this like right but you know this this this like right but you know this this this like hyperbolic you know BS that we've always hyperbolic you know BS that we've always hyperbolic you know BS that we've always challenge you know because famously of challenge you know because famously of challenge you know because famously of course hype comes to iot Coffee Talk To course hype comes to iot Coffee Talk To course hype comes to iot Coffee Talk To [Laughter] [Laughter] [Laughter] Die that that that we'll see if it Die that that that we'll see if it Die that that that we'll see if it happens but you know this stuff cost so happens but you know this stuff cost so happens but you know this stuff cost so much money man you I'm like sitting much money man you I'm like sitting much money man you I'm like sitting there listening into all all the stuff there listening into all all the stuff there listening into all all the stuff on the data center size of stuff is just on the data center size of stuff is just on the data center size of stuff is just like expensive stuff for what so you can like expensive stuff for what so you can like expensive stuff for what so you can make it like a silly ass little uh you make it like a silly ass little uh you make it like a silly ass little uh you know diagram of a kitten it's like are know diagram of a kitten it's like are know diagram of a kitten it's like are you are you asking who you are you asking who you are you asking who cares yeah yeah who cares damn it oh you cares yeah yeah who cares damn it oh you cares yeah yeah who cares damn it oh you know like as a billion people starve to know like as a billion people starve to know like as a billion people starve to death we're spending all our resources death we're spending all our resources death we're spending all our resources on data CA AI models so you can more on data CA AI models so you can more on data CA AI models so you can more create your own versions of cats and create your own versions of cats and create your own versions of cats and things that oh my God yeah that that's things that oh my God yeah that that's things that oh my God yeah that that's it takes us back to idiocracy probably it takes us back to idiocracy probably it takes us back to idiocracy probably you know or we could make a new movie

  27. you know or we could make a new movie you know or we could make a new movie where you kind of show the real world where you kind of show the real world where you kind of show the real world and then this fantasy land that we live and then this fantasy land that we live and then this fantasy land that we live in it's really quite it's weird I mean in it's really quite it's weird I mean in it's really quite it's weird I mean where's our priorities at you know like where's our priorities at you know like where's our priorities at you know like you know yesterday there was like a you know yesterday there was like a you know yesterday there was like a security uh you know like a breakout security uh you know like a breakout security uh you know like a breakout session and there was like no one in session and there was like no one in session and there was like no one in there I was like in there with like there I was like in there with like there I was like in there with like maybe two other people and so we are all maybe two other people and so we are all maybe two other people and so we are all Jo jokingly uh stating to each other hey Jo jokingly uh stating to each other hey Jo jokingly uh stating to each other hey nobody gives a crap about security it's nobody gives a crap about security it's nobody gives a crap about security it's like we're talking about talk a good like we're talking about talk a good like we're talking about talk a good game but they don't give a [ __ ] do game but they don't give a [ __ ] do game but they don't give a [ __ ] do security at the end you security at the end you security at the end you do yeah yeah but I mean think about it do yeah yeah but I mean think about it do yeah yeah but I mean think about it if you think about it a lot of the real if you think about it a lot of the real if you think about it a lot of the real good stuff I mean that that you know good stuff I mean that that you know good stuff I mean that that you know when you really get down to the good when you really get down to the good when you really get down to the good stuff it lives in what I call the Gap of stuff it lives in what I call the Gap of stuff it lives in what I call the Gap of the ugly because the ugly because the ugly because it's it's not sexy no advertise that it's it's not sexy no advertise that it's it's not sexy no advertise that they're doing they're doing they're doing it but it's foundational to moving the it but it's foundational to moving the it but it's foundational to moving the ball forward yeah prime example we we're ball forward yeah prime example we we're ball forward yeah prime example we we're talking about security right security by talking about security right security by talking about security right security by Design it's like that should be like Design it's like that should be like Design it's like that should be like your first step it should be as you're your first step it should be as you're your first step it should be as you're designing and building it should be designing and building it should be designing and building it should be where's our security you know where's where's our security you know where's where's our security you know where's our security chain well how are we our security chain well how are we our security chain well how are we making sure that layers one through making sure that layers one through making sure that layers one through seven if you operate through all of them seven if you operate through all of them seven if you operate through all of them are all secure um that's an ugly thing are all secure um that's an ugly thing are all secure um that's an ugly thing oh yeah yeah g nobody wants to nobody oh yeah yeah g nobody wants to nobody oh yeah yeah g nobody wants to nobody wants to dive in it's not glamorous it's wants to dive in it's not glamorous it's wants to dive in it's not glamorous it's definitely not glamorous but it needs to

  28. definitely not glamorous but it needs to definitely not glamorous but it needs to get done you know why to get done and get done you know why to get done and get done you know why to get done and and I mean that's you know I get that and I mean that's you know I get that and I mean that's you know I get that question almost every time you know Bill question almost every time you know Bill question almost every time you know Bill you work with a lot of cities and you work with a lot of cities and you work with a lot of cities and everything like that you know how do you everything like that you know how do you everything like that you know how do you solve these problems and I was like you solve these problems and I was like you solve these problems and I was like you know honestly I I live in the gap of the know honestly I I live in the gap of the know honestly I I live in the gap of the ugly I've gotta go in and I it's I've ugly I've gotta go in and I it's I've ugly I've gotta go in and I it's I've gotta I've got to start with that and gotta I've got to start with that and gotta I've got to start with that and it's like what is your security posture it's like what is your security posture it's like what is your security posture Mr city right you know and we've got to Mr city right you know and we've got to Mr city right you know and we've got to start there before we do anything on the start there before we do anything on the start there before we do anything on the OT side of the world yeah and I think OT side of the world yeah and I think OT side of the world yeah and I think it's the same thing lard you're talking it's the same thing lard you're talking it's the same thing lard you're talking about this this data center interconnect about this this data center interconnect about this this data center interconnect and we're talking about llms and and we're talking about llms and and we're talking about llms and everything like that all right so let's everything like that all right so let's everything like that all right so let's go back to the let's go back to that go back to the let's go back to that go back to the let's go back to that age-old age-old age-old question what problem are you really question what problem are you really question what problem are you really solving because when you train these solving because when you train these solving because when you train these when you train these AI models and when you train these AI models and when you train these AI models and everything like that what is your energy everything like that what is your energy everything like that what is your energy consumption is anybody report that consumption is anybody report that consumption is anybody report that because these things it doesn't come for because these things it doesn't come for because these things it doesn't come for free no yeah and it's like the training free no yeah and it's like the training free no yeah and it's like the training like uh I've had a little bit experience like uh I've had a little bit experience like uh I've had a little bit experience on this lately and you know basically on this lately and you know basically on this lately and you know basically your AI power workloads are about 10x your AI power workloads are about 10x your AI power workloads are about 10x you know your kind of traditional you know your kind of traditional you know your kind of traditional workload so anything that was like a a workload so anything that was like a a workload so anything that was like a a 500 you know kilowatt box now needs to 500 you know kilowatt box now needs to 500 you know kilowatt box now needs to be a 5 megawatt box to do kind of AI and be a 5 megawatt box to do kind of AI and be a 5 megawatt box to do kind of AI and then then training versus inferencing so then then training versus inferencing so then then training versus inferencing so I think we'll see training and TR to do I think we'll see training and TR to do I think we'll see training and TR to do training properly you do need physically training properly you do need physically training properly you do need physically the Clusters need to be near each other the Clusters need to be near each other the Clusters need to be near each other like there's a lot of physicality like there's a lot of physicality like there's a lot of physicality physical design that needs to be physical design that needs to be physical design that needs to be optimized to do training and so I think optimized to do training and so I think optimized to do training and so I think that'll really stay in the in the that'll really stay in the in the that'll really stay in the in the confines of some of these hyperscalers confines of some of these hyperscalers confines of some of these hyperscalers and maybe in the cor weaves and stuff

  29. and maybe in the cor weaves and stuff and maybe in the cor weaves and stuff the inferencing though is a lot less you the inferencing though is a lot less you the inferencing though is a lot less you can use less power and and you don't can use less power and and you don't can use less power and and you don't have to be as kind of physically you have to be as kind of physically you have to be as kind of physically you know demanding in the layout so I think know demanding in the layout so I think know demanding in the layout so I think we'll see much more distributed we'll see much more distributed we'll see much more distributed inferencing and much more Consolidated inferencing and much more Consolidated inferencing and much more Consolidated training um moving forward so how about training um moving forward so how about training um moving forward so how about the accuracy on the inferencing the accuracy on the inferencing the accuracy on the inferencing though yeah I mean it's going to be though yeah I mean it's going to be though yeah I mean it's going to be function of you know how much how well function of you know how much how well function of you know how much how well is a model trained and then you know and is a model trained and then you know and is a model trained and then you know and how much horsepower can you afford to how much horsepower can you afford to how much horsepower can you afford to get away with on on the edge yeah you get away with on on the edge yeah you get away with on on the edge yeah you know I had an interesting conversation know I had an interesting conversation know I had an interesting conversation with some of the or one of the um Marvel with some of the or one of the um Marvel with some of the or one of the um Marvel Executives and um you know so I think I Executives and um you know so I think I Executives and um you know so I think I agree with you some of the productized agree with you some of the productized agree with you some of the productized training of models so like you know training of models so like you know training of models so like you know developing an L you know like Foundation developing an L you know like Foundation developing an L you know like Foundation model model model definitely economics much better in the definitely economics much better in the definitely economics much better in the cloud um now the the F fine-tuning stuff cloud um now the the F fine-tuning stuff cloud um now the the F fine-tuning stuff so taking a llm you know going and yeah so taking a llm you know going and yeah so taking a llm you know going and yeah fine tuning fine tuning it um that could fine tuning fine tuning it um that could fine tuning fine tuning it um that could be different you might not be doing that be different you might not be doing that be different you might not be doing that up in the big cloud right because you're up in the big cloud right because you're up in the big cloud right because you're going to be fine-tuning all the time going to be fine-tuning all the time going to be fine-tuning all the time there's going to be this whole there's going to be this whole there's going to be this whole administrative process you have to do to administrative process you have to do to administrative process you have to do to maintain these models to keep them maintain these models to keep them maintain these models to keep them healthy from preventing them from going healthy from preventing them from going healthy from preventing them from going into what I call uh you know artificial into what I call uh you know artificial into what I call uh you know artificial dementia dementia dementia right it happens I mean you know people

  30. right it happens I mean you know people right it happens I mean you know people laugh you know they thought I was joking laugh you know they thought I was joking laugh you know they thought I was joking when I first brought this up like when I first brought this up like when I first brought this up like beginning of the year and now you know beginning of the year and now you know beginning of the year and now you know it's true these freaking things you know it's true these freaking things you know it's true these freaking things you know they have mental decline over time so they have mental decline over time so they have mental decline over time so you have to maintain these things um I you have to maintain these things um I you have to maintain these things um I think a lot of those workloads which are think a lot of those workloads which are think a lot of those workloads which are kind of semi you know model training kind of semi you know model training kind of semi you know model training blah blah blah that'll probably happen blah blah blah that'll probably happen blah blah blah that'll probably happen you know that could happen on that's you know that could happen on that's you know that could happen on that's it's designed to be that especially even it's designed to be that especially even it's designed to be that especially even like you go into CNN and non large like you go into CNN and non large like you go into CNN and non large language models like a vision and language models like a vision and language models like a vision and anomaly detection that those are all anomaly detection that those are all anomaly detection that those are all fine-tuned at the edge which is fine-tuned at the edge which is fine-tuned at the edge which is perfectly reasonable yeah and and you perfectly reasonable yeah and and you perfectly reasonable yeah and and you know a lot of the interconnect stuff know a lot of the interconnect stuff know a lot of the interconnect stuff that's happening especially the longer that's happening especially the longer that's happening especially the longer distance stuff that could be applied to distance stuff that could be applied to distance stuff that could be applied to Edge infrastructure that that creates Edge infrastructure that that creates Edge infrastructure that that creates new possibilities right where you can do new possibilities right where you can do new possibilities right where you can do some really cool Ed you know Edge AI some really cool Ed you know Edge AI some really cool Ed you know Edge AI infrastructure innovations that uh infrastructure innovations that uh infrastructure innovations that uh weren't possible before so you know uh weren't possible before so you know uh weren't possible before so you know uh Bill going back to what we were talking Bill going back to what we were talking Bill going back to what we were talking about earlier about you know software about earlier about you know software about earlier about you know software versus Hardware Innovation that Hardware versus Hardware Innovation that Hardware versus Hardware Innovation that Hardware Innovation is critical in enabling these Innovation is critical in enabling these Innovation is critical in enabling these new software distributed software models new software distributed software models new software distributed software models uh and AI Computing models to happen uh and AI Computing models to happen uh and AI Computing models to happen right and I think that's uh you know we right and I think that's uh you know we right and I think that's uh you know we can't lose sight of that and we can't lose sight of that and we can't lose sight of that and we oftentimes lose sight of it because no I oftentimes lose sight of it because no I oftentimes lose sight of it because no I mean but listen to what you're saying mean but listen to what you're saying mean but listen to what you're saying there that what what we're actually there that what what we're actually there that what what we're actually talking about is intelligent talking about is intelligent talking about is intelligent infrastructure yeah absolutely that infrastructure yeah absolutely that infrastructure yeah absolutely that that's I mean that's really the thing

  31. that's I mean that's really the thing that's I mean that's really the thing and and the infrastructure bill is and and the infrastructure bill is and and the infrastructure bill is calling for that right yeah oh yeah but calling for that right yeah oh yeah but calling for that right yeah oh yeah but dude it's like I you know like what dude it's like I you know like what dude it's like I you know like what we're talking about right now I don't I we're talking about right now I don't I we're talking about right now I don't I don't necessarily hear it out there dude don't necessarily hear it out there dude don't necessarily hear it out there dude I'm serious and I I talked to some I'm serious and I I talked to some I'm serious and I I talked to some pretty ridiculous companies that are on pretty ridiculous companies that are on pretty ridiculous companies that are on the Leading Edge of all this stuff right the Leading Edge of all this stuff right the Leading Edge of all this stuff right and I'm sure that many of us do I I I I and I'm sure that many of us do I I I I and I'm sure that many of us do I I I I just don't see the stuff you know what just don't see the stuff you know what just don't see the stuff you know what you know what Leonard I've decided I'm you know what Leonard I've decided I'm you know what Leonard I've decided I'm going to start using terminology from going to start using terminology from going to start using terminology from the past like obviously we're all into the past like obviously we're all into the past like obviously we're all into audio here and music and stuff like that audio here and music and stuff like that audio here and music and stuff like that yeah so I'm G to use terminology from yeah so I'm G to use terminology from yeah so I'm G to use terminology from decades ago and different audio decades ago and different audio decades ago and different audio equipment to describe problems or you equipment to describe problems or you equipment to describe problems or you know fine-tuning Ai and so I might say know fine-tuning Ai and so I might say know fine-tuning Ai and so I might say you need to tune the bias level and you need to tune the bias level and you need to tune the bias level and Equalization you know I might say when Equalization you know I might say when Equalization you know I might say when it's hallucinating or or it's a little it's hallucinating or or it's a little it's hallucinating or or it's a little weird I might say this one's got a lot weird I might say this one's got a lot weird I might say this one's got a lot of wow and flutter to it you know oh my of wow and flutter to it you know oh my of wow and flutter to it you know oh my god I think I'm just gonna start doing god I think I'm just gonna start doing god I think I'm just gonna start doing that and then just cabulary based on that and then just cabulary based on that and then just cabulary based on that you need to tune your uh you need that you need to tune your uh you need that you need to tune your uh you need to uh what do you call it bi bias your to uh what do you call it bi bias your to uh what do you call it bi bias your amp amp amp right right P you know your I I heard right right P you know your I I heard right right P you know your I I heard all that buzzing in the background all that buzzing in the background all that buzzing in the background earlier that's by Design yeah you know like when that's by Design yeah you know like when your head flips around to Auto reverse your head flips around to Auto reverse your head flips around to Auto reverse sometimes that it's just not aligned sometimes that it's just not aligned sometimes that it's just not aligned very well with the tape you know and so very well with the tape you know and so very well with the tape you know and so which is which is which is why is why the Nakamichi Dragon was so

  32. why is why the Nakamichi Dragon was so why is why the Nakamichi Dragon was so popular because it used popular because it used popular because it used lasers well I mean that that is a really lasers well I mean that that is a really lasers well I mean that that is a really great analogy because think about it great analogy because think about it great analogy because think about it bias you bias an am a tuam you try to bias you bias an am a tuam you try to bias you bias an am a tuam you try to unbias an AI model yeah there you go ml unbias an AI model yeah there you go ml unbias an AI model yeah there you go ml model right yes there like so I I've model right yes there like so I I've model right yes there like so I I've been using ml.net because I'm a net been using ml.net because I'm a net been using ml.net because I'm a net guy and I can train models locally on my guy and I can train models locally on my guy and I can train models locally on my PC and everything like that and it even PC and everything like that and it even PC and everything like that and it even lets me connect to SQL Server to suck in lets me connect to SQL Server to suck in lets me connect to SQL Server to suck in my data to then train and all that stuff my data to then train and all that stuff my data to then train and all that stuff wow shocker um instead of just picking wow shocker um instead of just picking wow shocker um instead of just picking up a CSV file or something like that um up a CSV file or something like that um up a CSV file or something like that um but I'm amazed to how much training I but I'm amazed to how much training I but I'm amazed to how much training I can do locally on some of the stuff I'm can do locally on some of the stuff I'm can do locally on some of the stuff I'm working on but I might need to tune to working on but I might need to tune to working on but I might need to tune to get some of that wow and flutter out of get some of that wow and flutter out of get some of that wow and flutter out of there you know or some of the crackle there you know or some of the crackle there you know or some of the crackle you know I might have to get a different you know I might have to get a different you know I might have to get a different cartridge you know and a different cartridge you know and a different cartridge you know and a different stylus there's a little too much crackle stylus there's a little too much crackle stylus there's a little too much crackle I think sometimes in the latest llms you I think sometimes in the latest llms you I think sometimes in the latest llms you know and so it's a thing I think you know and so it's a thing I think you know and so it's a thing I think you need to switch out your pots man I think need to switch out your pots man I think need to switch out your pots man I think so so Pete didn't you go to some cool so so Pete didn't you go to some cool so so Pete didn't you go to some cool analyst events this last week or analyst events this last week or analyst events this last week or something I did a little I was telling something I did a little I was telling something I did a little I was telling Leonard I did a little tour of uh Leonard I did a little tour of uh Leonard I did a little tour of uh Silicon Valley the past couple of days I Silicon Valley the past couple of days I Silicon Valley the past couple of days I met with Renee hos from arm which was met with Renee hos from arm which was met with Renee hos from arm which was great and I met with uh Raza um from uh great and I met with uh Raza um from uh great and I met with uh Raza um from uh the CEO Olive

  33. the CEO Olive the CEO Olive semiconductor and I stopped at Nvidia to semiconductor and I stopped at Nvidia to semiconductor and I stopped at Nvidia to talk about AI factories and hung out talk about AI factories and hung out talk about AI factories and hung out some Wind River folks talk about car some Wind River folks talk about car some Wind River folks talk about car stuff so it was just a little little stuff so it was just a little little stuff so it was just a little little couple of days get behind you know get couple of days get behind you know get couple of days get behind you know get get out from behind the keyboard and um get out from behind the keyboard and um get out from behind the keyboard and um get face to face with folks over a a get face to face with folks over a a get face to face with folks over a a table and a cup of coffee and uh talk table and a cup of coffee and uh talk table and a cup of coffee and uh talk about things so it was good I got back about things so it was good I got back about things so it was good I got back last night and um so yeah I think it's I last night and um so yeah I think it's I last night and um so yeah I think it's I encourage everyone and I'm preaching to encourage everyone and I'm preaching to encourage everyone and I'm preaching to the converted here but Folks at home too the converted here but Folks at home too the converted here but Folks at home too it's like you know it's it's cool to do it's like you know it's it's cool to do it's like you know it's it's cool to do Zoom meetings and teams meetings and Zoom meetings and teams meetings and Zoom meetings and teams meetings and stuff but you also need to get out there stuff but you also need to get out there stuff but you also need to get out there in real life and talk to people and in real life and talk to people and in real life and talk to people and that's you get the nuances of the that's you get the nuances of the that's you get the nuances of the conversations little conversations little conversations little anecdotes uh that you wouldn't get I anecdotes uh that you wouldn't get I anecdotes uh that you wouldn't get I think so that's cool plus you get to see think so that's cool plus you get to see think so that's cool plus you get to see the size of the people that's how tall the size of the people that's how tall the size of the people that's how tall they are that's really they are that's really they are that's really important uh everyone's a lot taller or important uh everyone's a lot taller or important uh everyone's a lot taller or shorter than you think they are online shorter than you think they are online shorter than you think they are online yeah exactly especially Bill dude you're yeah exactly especially Bill dude you're yeah exactly especially Bill dude you're like freaking big man especially your like freaking big man especially your like freaking big man especially your chest doing all those shows dude it's chest doing all those shows dude it's chest doing all those shows dude it's like freaking like freaking like freaking ridiculous hey I mean but it's that's ridiculous hey I mean but it's that's ridiculous hey I mean but it's that's the I mean I've talked to people on zoom the I mean I've talked to people on zoom the I mean I've talked to people on zoom and then when I go meet them I'm like and then when I go meet them I'm like and then when I go meet them I'm like dude you're like 5'2 dude you're like 5'2 dude you're like 5'2 right you're like 52 what the hell what right you're like 52 what the hell what right you're like 52 what the hell what the hell's going on you sitting on a the hell's going on you sitting on a the hell's going on you sitting on a stool on Zoom so maybe some of these stool on Zoom so maybe some of these stool on Zoom so maybe some of these tech companies are led by 52 people that tech companies are led by 52 people that tech companies are led by 52 people that have a Napoleon complex my God drives have a Napoleon complex my God drives have a Napoleon complex my God drives their marketing and everyone watch the their marketing and everyone watch the their marketing and everyone watch the new movie watch the new Napoleon Movie

  34. new movie watch the new Napoleon Movie new movie watch the new Napoleon Movie there's a good tie in there yes I went there's a good tie in there yes I went there's a good tie in there yes I went and saw it by myself you did I did it and saw it by myself you did I did it and saw it by myself you did I did it was was was good about the Godzilla movie you saw good about the Godzilla movie you saw good about the Godzilla movie you saw the god you saw the it was it was really good um you know it was it was really good um you know when I found out that's where we were when I found out that's where we were when I found out that's where we were just like flies in the face of all our just like flies in the face of all our just like flies in the face of all our high-tech when you find out that guy high-tech when you find out that guy high-tech when you find out that guy made the new Godzilla movie for $15 made the new Godzilla movie for $15 made the new Godzilla movie for $15 million that's what's gonna blow your million that's what's gonna blow your million that's what's gonna blow your mind that's what's gonna blow your mind mind that's what's gonna blow your mind mind that's what's gonna blow your mind and it's a better Godzilla movie than and it's a better Godzilla movie than and it's a better Godzilla movie than all the the US ones that we've all the the US ones that we've all the the US ones that we've made millions dollar on well the next made millions dollar on well the next made millions dollar on well the next one be geni gen AI created Godzilla one be geni gen AI created Godzilla one be geni gen AI created Godzilla movie for movie for movie for you know this guy this guy you know I you know this guy this guy you know I you know this guy this guy you know I saw some interviews with him um it it saw some interviews with him um it it saw some interviews with him um it it just incredible and they worked their just incredible and they worked their just incredible and they worked their asses off you know and he's like I wrote asses off you know and he's like I wrote asses off you know and he's like I wrote the thing I was the director and I had the thing I was the director and I had the thing I was the director and I had to be the head of special effects as to be the head of special effects as to be the head of special effects as well like sh string budget you know what well like sh string budget you know what well like sh string budget you know what I mean but they really pulled it off and I mean but they really pulled it off and I mean but they really pulled it off and they actually had a real they actually had a real they actually had a real story other stuff like that it was it story other stuff like that it was it story other stuff like that it was it was really good it was good to you know was really good it was good to you know was really good it was good to you know all these tools and stuff really flatten all these tools and stuff really flatten all these tools and stuff really flatten the landscape for creatives to do the landscape for creatives to do the landscape for creatives to do awesome stuff this Godzilla this Godzilla movie should this Godzilla this Godzilla movie should be a wake up call for folks in Hollywood be a wake up call for folks in Hollywood be a wake up call for folks in Hollywood for for for producers about what should a movie cost producers about what should a movie cost producers about what should a movie cost with special effects because this guy with special effects because this guy with special effects because this guy just did a clinic on how you can make just did a clinic on how you can make just did a clinic on how you can make arguably the best Godzilla movie ever arguably the best Godzilla movie ever arguably the best Godzilla movie ever for 15 million bucks well it's like that

  35. for 15 million bucks well it's like that for 15 million bucks well it's like that movie parasite that won the Academy movie parasite that won the Academy movie parasite that won the Academy of how does how does you know um how do of how does how does you know um how do of how does how does you know um how do you know you know you know does Hollywood need to you know get out does Hollywood need to you know get out does Hollywood need to you know get out of the script room and quit of the script room and quit of the script room and quit regurgitating old scripts and creating a regurgitating old scripts and creating a regurgitating old scripts and creating a of old great story original stuff and of old great story original stuff and of old great story original stuff and then story matters dude seeing a lot of then story matters dude seeing a lot of then story matters dude seeing a lot of Articles dude about the gods I was Articles dude about the gods I was Articles dude about the gods I was surprised I thought it was like you know surprised I thought it was like you know surprised I thought it was like you know going to be some campy movie but people going to be some campy movie but people going to be some campy movie but people are saying it's a great movie I'm like are saying it's a great movie I'm like are saying it's a great movie I'm like what a Godzilla also you know what I what a Godzilla also you know what I what a Godzilla also you know what I have it's weird to say this I'll have it's weird to say this I'll have it's weird to say this I'll probably get get blasted by someone from probably get get blasted by someone from probably get get blasted by someone from Japan um but it dies into the the it's Japan um but it dies into the the it's Japan um but it dies into the the it's you know Godzilla is arguably a cultural you know Godzilla is arguably a cultural you know Godzilla is arguably a cultural element of Japanese culture now like element of Japanese culture now like element of Japanese culture now like Shoguns and Samurai because it's been Shoguns and Samurai because it's been Shoguns and Samurai because it's been part of them since the 50s yeah this part of them since the 50s yeah this part of them since the 50s yeah this movie this movie is basically a movie this movie is basically a movie this movie is basically a reimagination of the very first Godzilla reimagination of the very first Godzilla reimagination of the very first Godzilla movie and it really ties in it starts at movie and it really ties in it starts at movie and it really ties in it starts at the end of World War II and it shows you the end of World War II and it shows you the end of World War II and it shows you a Tokyo that you've never seen they look a Tokyo that you've never seen they look a Tokyo that you've never seen they look like they're living in a shanty town like they're living in a shanty town like they're living in a shanty town like you might see in Brazil like you might see in Brazil like you might see in Brazil and just Devastation everywhere and it and just Devastation everywhere and it and just Devastation everywhere and it it's really interesting and that's what it's really interesting and that's what it's really interesting and that's what it that's and that's what the original it that's and that's what the original it that's and that's what the original remember the original Godzilla movie it remember the original Godzilla movie it remember the original Godzilla movie it was a political statement you know maybe was a political statement you know maybe was a political statement you know maybe pointed at Robert Oppenheimer you know pointed at Robert Oppenheimer you know pointed at Robert Oppenheimer you know arguably you know but it was certainly a arguably you know but it was certainly a arguably you know but it was certainly a statement about nuclear weapons so so statement about nuclear weapons so so statement about nuclear weapons so so interesting they went deep on there and interesting they went deep on there and interesting they went deep on there and there was a lot of emotion and the and

  36. there was a lot of emotion and the and there was a lot of emotion and the and you know so I saw it with my son and I you know so I saw it with my son and I you know so I saw it with my son and I just said wow I guess the story matters just said wow I guess the story matters just said wow I guess the story matters and we somehow tied that in because we and we somehow tied that in because we and we somehow tied that in because we are weird people I was like it reminds are weird people I was like it reminds are weird people I was like it reminds me of another Japanese company that me of another Japanese company that me of another Japanese company that didn't have to build super high-powered didn't have to build super high-powered didn't have to build super high-powered video game consoles to survive because video game consoles to survive because video game consoles to survive because they have the best stories and it's they have the best stories and it's they have the best stories and it's Nintendo Nintendo stuck with low-end Nintendo Nintendo stuck with low-end Nintendo Nintendo stuck with low-end stuff simple graphics and they still stuff simple graphics and they still stuff simple graphics and they still Dominate and it's because the story Dominate and it's because the story Dominate and it's because the story matters and the story grabs the people matters and the story grabs the people matters and the story grabs the people and the kids who are playing Nintendo and the kids who are playing Nintendo and the kids who are playing Nintendo games that they didn't have to go do games that they didn't have to go do games that they didn't have to go do call of Duty and stuff like that like an call of Duty and stuff like that like an call of Duty and stuff like that like an Xbox or Xbox or Xbox or Playstation anyway yeah I would Playstation anyway yeah I would Playstation anyway yeah I would definitely encourage people to go see it definitely encourage people to go see it definitely encourage people to go see it and just check it out just like wow I and just check it out just like wow I and just check it out just like wow I can't believe they made this for this can't believe they made this for this can't believe they made this for this little money that's you know I was little money that's you know I was little money that's you know I was having flashbacks to Spike Lee making having flashbacks to Spike Lee making having flashbacks to Spike Lee making she's got to have it by maxing out a she's got to have it by maxing out a she's got to have it by maxing out a bunch of credit cards right if you have bunch of credit cards right if you have bunch of credit cards right if you have a great story and you got passion and a great story and you got passion and a great story and you got passion and you and you you get a bunch of no-name you and you you get a bunch of no-name you and you you get a bunch of no-name people at the time to be your actors people at the time to be your actors people at the time to be your actors sometimes you can pull off Magic that's sometimes you can pull off Magic that's sometimes you can pull off Magic that's a great story story always matters so a great story story always matters so a great story story always matters so yeah yeah Napoleon was good I think you yeah yeah Napoleon was good I think you yeah yeah Napoleon was good I think you know I think it's also maybe who knows know I think it's also maybe who knows know I think it's also maybe who knows that I've been reading stuff about the that I've been reading stuff about the that I've been reading stuff about the accuracy of it it some of it's Nails it accuracy of it it some of it's Nails it accuracy of it it some of it's Nails it and some of it might be in la la land and some of it might be in la la land and some of it might be in la la land but if nothing else it's a good history but if nothing else it's a good history but if nothing else it's a good history lesson about one of the most important lesson about one of the most important lesson about one of the most important time periods in France yeah yeah you go

  37. time periods in France yeah yeah you go time periods in France yeah yeah you go all right guys I got I gotta go um all all right guys I got I gotta go um all all right guys I got I gotta go um all right that was a that was a really cool right that was a that was a really cool right that was a that was a really cool chat um I think it all boils down to chat um I think it all boils down to chat um I think it all boils down to what Bill said who cares who cares yeah what Bill said who cares who cares yeah what Bill said who cares who cares yeah right right right yeah it really comes down to iot Coffee yeah it really comes down to iot Coffee yeah it really comes down to iot Coffee Talk versus the 65 yeah yeah yeah well you know um no 65 yeah yeah yeah well you know um no comment yeah that's cool so hey um thanks yeah that's cool so hey um thanks everyone uh for tuning in we really everyone uh for tuning in we really everyone uh for tuning in we really appreciate your viewership and your appreciate your viewership and your appreciate your viewership and your listenership is that a word is it listenership is that a word is it listenership is that a word is it listenership it is now just invented listenership it is now just invented listenership it is now just invented that remember who that remember who that remember who cares there you go right that's the most cares there you go right that's the most cares there you go right that's the most important thing it's the most important important thing it's the most important important thing it's the most important question for any iot or Tech question for any iot or Tech question for any iot or Tech practitioner out there and um you know practitioner out there and um you know practitioner out there and um you know uh we want to remind everyone that we uh we want to remind everyone that we uh we want to remind everyone that we have a donation drive that we're still have a donation drive that we're still have a donation drive that we're still doing okay uh for Elevate our kids at doing okay uh for Elevate our kids at doing okay uh for Elevate our kids at www. elevar kids.org and what we're www. elevar kids.org and what we're www. elevar kids.org and what we're trying to do is bridge this digital trying to do is bridge this digital trying to do is bridge this digital Equity divide uh for kids K through 12 Equity divide uh for kids K through 12 Equity divide uh for kids K through 12 in you know uh underserved and unserved in you know uh underserved and unserved in you know uh underserved and unserved and distressed communities and we're

  38. and distressed communities and we're and distressed communities and we're trying to help the community of lahina trying to help the community of lahina trying to help the community of lahina in Maui uh in light of the tragic fires in Maui uh in light of the tragic fires in Maui uh in light of the tragic fires that they suffered uh earlier this year that they suffered uh earlier this year that they suffered uh earlier this year and so remember to like subscribe donate and so remember to like subscribe donate and so remember to like subscribe donate to elevat our kids just go to www. to elevat our kids just go to www. to elevat our kids just go to www. elevar kids.org and remember like share elevar kids.org and remember like share elevar kids.org and remember like share uh opine you know comment you know tell uh opine you know comment you know tell uh opine you know comment you know tell us how great we are or how great we us how great we are or how great we us how great we are or how great we are in the com below this is a great are in the com below this is a great are in the com below this is a great place for music too place for music too place for music too yeah yeah yeah and hey thank you Pete yeah yeah yeah and hey thank you Pete yeah yeah yeah and hey thank you Pete for entertaining us with youring for entertaining us with youring for entertaining us with youring virtuosity on guitar and you know taking virtuosity on guitar and you know taking virtuosity on guitar and you know taking the load off of me uh really appreciate the load off of me uh really appreciate the load off of me uh really appreciate that very talented gentleman and we will that very talented gentleman and we will that very talented gentleman and we will see next see next see next [Music]

Summary

The conversation, an IoT coffee talk, shifts from tech events to the resurgence of Dungeons and Dragons, specifically Baldur's Gate 3, as a popular fantasy role-playing game. The takeaway is that creative and imaginative pursuits, like tabletop gaming or even wine reviews in Sonoma, can be more engaging than purely technical discussions.

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