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iOT Coffee Talk March 6, 2024 1h 2m

IoT Coffee Talk: Episode 199 - The Religion of AI

Read full transcript 41 segments
  1. [Applause] [Applause] dance the night dance the night dance the night away yeah Dan away yeah Dan away yeah Dan away it's kind of Spanish a little bit away it's kind of Spanish a little bit away it's kind of Spanish a little bit I like it how's everyone doing welcome I like it how's everyone doing welcome I like it how's everyone doing welcome to iot Coffee Talk and uh full to iot Coffee Talk and uh full to iot Coffee Talk and uh full disclosure take us seriously at your own disclosure take us seriously at your own disclosure take us seriously at your own risk by no means invest in anything that risk by no means invest in anything that risk by no means invest in anything that we say that's right no no puts no calls we say that's right no no puts no calls we say that's right no no puts no calls no shorts no yeah none of that crap yeah no shorts no yeah none of that crap yeah no shorts no yeah none of that crap yeah wow sounds like Leonard must have gotten wow sounds like Leonard must have gotten wow sounds like Leonard must have gotten a call from the SEC or a call from the SEC or a call from the SEC or something no because you know what you something no because you know what you something no because you know what you know why I say this be is because our know why I say this be is because our know why I say this be is because our podcast is like exploding right and podcast is like exploding right and podcast is like exploding right and there's we have the disclaimer up on top there's we have the disclaimer up on top there's we have the disclaimer up on top on YouTube but we don't have it on YouTube but we don't have it on YouTube but we don't have it on the audio so we so we have to start on the audio so we so we have to start on the audio so we so we have to start each broadcast with a forward-looking each broadcast with a forward-looking each broadcast with a forward-looking statement yeah I mean performance is no statement yeah I mean performance is no statement yeah I mean performance is no guarantee of guarantee of guarantee of future about how seriously everyone future about how seriously everyone future about how seriously everyone takes us and you know we don't want well takes us and you know we don't want well takes us and you know we don't want well you know there is I mean the the I don't you know there is I mean the the I don't you know there is I mean the the I don't know about you guys but I get a lot more know about you guys but I get a lot more know about you guys but I get a lot more investor audience these days and uh investor audience these days and uh investor audience these days and uh there's a lot so much action with there's a lot so much action with there's a lot so much action with investors on Tech they just it's been investors on Tech they just it's been investors on Tech they just it's been you mean look at the look at the the you mean look at the look at the the you mean look at the look at the the what's really moving the market is just what's really moving the market is just what's really moving the market is just like the five top seven or eight tech like the five top seven or eight tech like the five top seven or eight tech stocks right so just a hot area these stocks right so just a hot area these stocks right so just a hot area these days much more hot than it was five days much more hot than it was five days much more hot than it was five years ago that's I I think I think we years ago that's I I think I think we years ago that's I I think I think we predicted uh nvidia's hockey stick back

  2. predicted uh nvidia's hockey stick back predicted uh nvidia's hockey stick back in 2013 even though we didn't start this in 2013 even though we didn't start this in 2013 even though we didn't start this until 2020 but didn't say win just said until 2020 but didn't say win just said until 2020 but didn't say win just said will happen that's right not just for will happen that's right not just for will happen that's right not just for gamers yeah the modly the modly fo is gamers yeah the modly the modly fo is gamers yeah the modly the modly fo is bombarding me with uh opportunities to bombarding me with uh opportunities to bombarding me with uh opportunities to buy into their research for the next buy into their research for the next buy into their research for the next magnificent of course whatever they know magnificent of course whatever they know magnificent of course whatever they know they the current magnificent 7even much they the current magnificent 7even much they the current magnificent 7even much less can figure what thing is you know less can figure what thing is you know less can figure what thing is you know just had a curiosity I listened for a just had a curiosity I listened for a just had a curiosity I listened for a bit to one of their pitches and I mean bit to one of their pitches and I mean bit to one of their pitches and I mean the discussion was not bad it was not an the discussion was not bad it was not an the discussion was not bad it was not an annoying pitch I was really surprised annoying pitch I was really surprised annoying pitch I was really surprised but of course it wouldn't disclose the but of course it wouldn't disclose the but of course it wouldn't disclose the stocks so then I started getting clues stocks so then I started getting clues stocks so then I started getting clues from what they're talking about then from what they're talking about then from what they're talking about then asked asked asked JT who could this G oh my God speaking of chat GPT G oh my God speaking of chat GPT silliness I A friend of mine was just silliness I A friend of mine was just silliness I A friend of mine was just posted this on the Facebook and he he posted this on the Facebook and he he posted this on the Facebook and he he was travel he's a french guy I worked was travel he's a french guy I worked was travel he's a french guy I worked with at Microsoft he he visited Hawaii with at Microsoft he he visited Hawaii with at Microsoft he he visited Hawaii and so while he was there he's asked and so while he was there he's asked and so while he was there he's asked Chad chbt give me the 10 best movies Chad chbt give me the 10 best movies Chad chbt give me the 10 best movies about the Pearl Harbor about the Pearl Harbor about the Pearl Harbor attack and the answers he got was The attack and the answers he got was The attack and the answers he got was The Hunger Games the ballot of song birds Hunger Games the ballot of song birds Hunger Games the ballot of song birds and snakes Napoleon Expendables Covenant

  3. and snakes Napoleon Expendables Covenant and snakes Napoleon Expendables Covenant anyway on and on completely unrelated to anyway on and on completely unrelated to anyway on and on completely unrelated to anything that's how ridiculous AI is anything that's how ridiculous AI is anything that's how ridiculous AI is getting getting getting he didn't ask the right questions Rob oh he didn't ask the right questions Rob oh he didn't ask the right questions Rob oh there it is he wasn't a prompt engineer there it is he wasn't a prompt engineer there it is he wasn't a prompt engineer he needed prompt engineering train he needed prompt engineering train he needed prompt engineering train skills he was too clear obviously skills he was too clear obviously skills he was too clear obviously simpler it was too too clear what could simpler it was too too clear what could simpler it was too too clear what could be too clear more clearer than this give be too clear more clearer than this give be too clear more clearer than this give me movies about Pearl Harbor how about me movies about Pearl Harbor how about me movies about Pearl Harbor how about the the the PO I could understand I could understand PO I could understand I could understand PO I could understand I could understand how you got confused because we all how you got confused because we all how you got confused because we all remember that the attack started with remember that the attack started with remember that the attack started with bunch of arrows just bunch of arrows just bunch of arrows just being being being right yeah and the calry coming over the right yeah and the calry coming over the right yeah and the calry coming over the hill you know that was remember that hill you know that was remember that hill you know that was remember that part when M Gibson was like part when M Gibson was like part when M Gibson was like freom yeah that that's how it started freom yeah that that's how it started freom yeah that that's how it started totally totally totally yeah now of course the audio track for yeah now of course the audio track for yeah now of course the audio track for this will be scraped by open AI to turn this will be scraped by open AI to turn this will be scraped by open AI to turn into more chat GPT learning so now we're into more chat GPT learning so now we're into more chat GPT learning so now we're really going to screw up that answer oh really going to screw up that answer oh really going to screw up that answer oh yeah yeah pretty much I mean see okay so yeah yeah pretty much I mean see okay so yeah yeah pretty much I mean see okay so I I I prompted what was it U is it I I I prompted what was it U is it I I I prompted what was it U is it control net no no um I think it was um a control net no no um I think it was um a control net no no um I think it was um a dolly um give me a picture of Taylor dolly um give me a picture of Taylor dolly um give me a picture of Taylor Swift right so it produced something Swift right so it produced something Swift right so it produced something that kind of looks like her and then that kind of looks like her and then that kind of looks like her and then when you look really closely it's got when you look really closely it's got when you look really closely it's got like totally jacked up teeth it's like totally jacked up teeth it's like totally jacked up teeth it's unusable cont fingers right right but unusable cont fingers right right but unusable cont fingers right right but then you know when you know I'm also

  4. then you know when you know I'm also then you know when you know I'm also looking at all these um uh these Dolly looking at all these um uh these Dolly looking at all these um uh these Dolly and mid Journey pieces that are coming and mid Journey pieces that are coming and mid Journey pieces that are coming out by uh rather amateur prompt out by uh rather amateur prompt out by uh rather amateur prompt Engineers I mean these things look Engineers I mean these things look Engineers I mean these things look horrible and I I don't know why people horrible and I I don't know why people horrible and I I don't know why people actually post them but that I mean all actually post them but that I mean all actually post them but that I mean all that stuff is going to get regurgitated that stuff is going to get regurgitated that stuff is going to get regurgitated into the Corpus somehow and somewh and I into the Corpus somehow and somewh and I into the Corpus somehow and somewh and I mean gez I me I'd love to drink the mean gez I me I'd love to drink the mean gez I me I'd love to drink the Kool-Aid I really would because every Kool-Aid I really would because every Kool-Aid I really would because every you know and everyone's stock is going you know and everyone's stock is going you know and everyone's stock is going up and people say oh well you know up and people say oh well you know up and people say oh well you know investors know what they're doing and investors know what they're doing and investors know what they're doing and they is like no they don't um this is they is like no they don't um this is they is like no they don't um this is totally speculative and people don't totally speculative and people don't totally speculative and people don't realize uh very few people actually know realize uh very few people actually know realize uh very few people actually know this that most of the gpus being sold this that most of the gpus being sold this that most of the gpus being sold are going to hyperscalers for SAS stuff are going to hyperscalers for SAS stuff are going to hyperscalers for SAS stuff we've already mentioned this and there's we've already mentioned this and there's we've already mentioned this and there's something that's really you know when something that's really you know when something that's really you know when things are good cloud and SAS and pass things are good cloud and SAS and pass things are good cloud and SAS and pass and Es is great when things aren't that and Es is great when things aren't that and Es is great when things aren't that good it can be the death of you good it can be the death of you good it can be the death of you um as a service provider we've mentioned um as a service provider we've mentioned um as a service provider we've mentioned this before and so this is what this this before and so this is what this this before and so this is what this hype is being built on from a commercial hype is being built on from a commercial hype is being built on from a commercial perspective so um you know someone asked perspective so um you know someone asked perspective so um you know someone asked me mwc what do you think we're going to me mwc what do you think we're going to me mwc what do you think we're going to be talking about next year it's like I be talking about next year it's like I be talking about next year it's like I think it's going to be generative AI think it's going to be generative AI think it's going to be generative AI monetization because so many people have monetization because so many people have monetization because so many people have pumped the generative na AI narrative in

  5. pumped the generative na AI narrative in pumped the generative na AI narrative in not only at mwc even though a lot of not only at mwc even though a lot of not only at mwc even though a lot of people will claim um people really people will claim um people really people will claim um people really didn't talk about generative AI but it's didn't talk about generative AI but it's didn't talk about generative AI but it's going to be a real question it's like going to be a real question it's like going to be a real question it's like how where's the N Market money for this how where's the N Market money for this how where's the N Market money for this stuff yeah one of the questions I get is stuff yeah one of the questions I get is stuff yeah one of the questions I get is okay if I'm in software and I use okay if I'm in software and I use okay if I'm in software and I use utilize that in the iot space where does utilize that in the iot space where does utilize that in the iot space where does that Revenue come from I mean are you that Revenue come from I mean are you that Revenue come from I mean are you adding it to the service fees on a adding it to the service fees on a adding it to the service fees on a monthly basis is it buried into the monthly basis is it buried into the monthly basis is it buried into the platform platform platform fees uh is it a consumption model so did fees uh is it a consumption model so did fees uh is it a consumption model so did you do you have any answers on that one you do you have any answers on that one you do you have any answers on that one Leonard I mean have you thought any any Leonard I mean have you thought any any Leonard I mean have you thought any any comments from anybody on that one I I I comments from anybody on that one I I I comments from anybody on that one I I I have a answer to start off with is you have a answer to start off with is you have a answer to start off with is you can't monetize it it's can't monetize it it's can't monetize it it's just you know it's just a feature it'll just you know it's just a feature it'll just you know it's just a feature it'll become a feature that becomes very become a feature that becomes very become a feature that becomes very difficult to monetize because nobody difficult to monetize because nobody difficult to monetize because nobody cares it's like iot if you want to get cares it's like iot if you want to get cares it's like iot if you want to get value out of iot stop talking about it value out of iot stop talking about it value out of iot stop talking about it call it iot not what it is AI same thing call it iot not what it is AI same thing call it iot not what it is AI same thing thing you know all we're doing here is thing you know all we're doing here is thing you know all we're doing here is triple quadruple counting things that triple quadruple counting things that triple quadruple counting things that have already happening for a really long have already happening for a really long have already happening for a really long time these are just tools they're just time these are just tools they're just time these are just tools they're just enabling enabling enabling Technologies they're not the thing the Technologies they're not the thing the Technologies they're not the thing the thing is some use case yeah no I agree thing is some use case yeah no I agree thing is some use case yeah no I agree it it needs to supercharge some other it it needs to supercharge some other it it needs to supercharge some other scenario I think people will be charging scenario I think people will be charging scenario I think people will be charging a premium for that supercharge initially a premium for that supercharge initially a premium for that supercharge initially but once the differentiation wears off but once the differentiation wears off but once the differentiation wears off and everyone has it like I use for buz

  6. and everyone has it like I use for buz and everyone has it like I use for buz sprout I pump in my file it will read sprout I pump in my file it will read sprout I pump in my file it will read the file not only transcribe it but the file not only transcribe it but the file not only transcribe it but suggest you know titles and suggest and suggest you know titles and suggest and suggest you know titles and suggest and it does so I'm paying a little extra per it does so I'm paying a little extra per it does so I'm paying a little extra per month for that capability I could save a month for that capability I could save a month for that capability I could save a few bucks and not use it but you know a few bucks and not use it but you know a few bucks and not use it but you know a year or two from now when everyone has year or two from now when everyone has year or two from now when everyone has that you know it'll just get baked into that you know it'll just get baked into that you know it'll just get baked into the price and it'll be the base offering the price and it'll be the base offering the price and it'll be the base offering and it be something else right but you and it be something else right but you and it be something else right but you know it has to supercharge an existing know it has to supercharge an existing know it has to supercharge an existing value prop that makes sense you can't if value prop that makes sense you can't if value prop that makes sense you can't if you don't have the value prop to start you don't have the value prop to start you don't have the value prop to start with you can't just there you go do AI with you can't just there you go do AI with you can't just there you go do AI it has to be something else yeah but it has to be something else yeah but it has to be something else yeah but Pete if it if it if you're paying for a Pete if it if it if you're paying for a Pete if it if it if you're paying for a third party service to help that third party service to help that third party service to help that generation right a platform of some sort generation right a platform of some sort generation right a platform of some sort and you're increasing your and you're increasing your and you're increasing your consumption costs yep don't you pass consumption costs yep don't you pass consumption costs yep don't you pass that along yeah yeah I mean you would that along yeah yeah I mean you would that along yeah yeah I mean you would you would you would have to you know you you would you would have to you know you you would you would have to you know you have increasing cost but hopefully have increasing cost but hopefully have increasing cost but hopefully you're getting increasing usage and you're getting increasing usage and you're getting increasing usage and increasing users you know because your increasing users you know because your increasing users you know because your service is better I mean that's the bet service is better I mean that's the bet service is better I mean that's the bet right is that as you add capabilities right is that as you add capabilities right is that as you add capabilities and features you're getting more and features you're getting more and features you're getting more customers and and retaining more customers and and retaining more customers and and retaining more customers so you know it's a classic customers so you know it's a classic customers so you know it's a classic thing it's just it just you have to thing it's just it just you have to thing it's just it just you have to start with a solid value prop first and start with a solid value prop first and start with a solid value prop first and then in some cases AI is really going to then in some cases AI is really going to then in some cases AI is really going to supercharge it in which case you know supercharge it in which case you know supercharge it in which case you know you'll use it to grow your business you'll use it to grow your business you'll use it to grow your business whether that's an add-on fee or just a whether that's an add-on fee or just a whether that's an add-on fee or just a more competitive offering I guess it more competitive offering I guess it more competitive offering I guess it depends on the remember we used to talk depends on the remember we used to talk depends on the remember we used to talk about new business model or or business about new business model or or business about new business model or or business model transformation which only was is model transformation which only was is model transformation which only was is like okay I'm G to figure out how to use like okay I'm G to figure out how to use like okay I'm G to figure out how to use this tool so I can get rid of that guy

  7. this tool so I can get rid of that guy this tool so I can get rid of that guy it's coming back again no that's what it's coming back again no that's what it's coming back again no that's what it's going to be if I have an added cost it's going to be if I have an added cost it's going to be if I have an added cost to bring a new tool into my to bring a new tool into my to bring a new tool into my platform I'm either going to eat the platform I'm either going to eat the platform I'm either going to eat the cost because to um to Pete's point I'm cost because to um to Pete's point I'm cost because to um to Pete's point I'm going to you know grow my base and grow going to you know grow my base and grow going to you know grow my base and grow revenue or why this speaking of AI going revenue or why this speaking of AI going revenue or why this speaking of AI going nuts with a thumbs up um going nuts nuts with a thumbs up um going nuts nuts with a thumbs up um going nuts don't exra for that don't yeah we pay we don't exra for that don't yeah we pay we don't exra for that don't yeah we pay we don't pay extra for that thankfully um don't pay extra for that thankfully um don't pay extra for that thankfully um but the I think the trick will be how do but the I think the trick will be how do but the I think the trick will be how do I use this tool to just cut something I use this tool to just cut something I use this tool to just cut something somewhere else so I can remain uh PRI somewhere else so I can remain uh PRI somewhere else so I can remain uh PRI price competitive cuz you know who cares price competitive cuz you know who cares price competitive cuz you know who cares how it is well I mean that is the how it is well I mean that is the how it is well I mean that is the hypothesis you know Scott Galloway says hypothesis you know Scott Galloway says hypothesis you know Scott Galloway says that AI is the OIC of the corporate that AI is the OIC of the corporate that AI is the OIC of the corporate world right it's the uh all these uh world right it's the uh all these uh world right it's the uh all these uh layoffs and cost cuttings that are layoffs and cost cuttings that are layoffs and cost cuttings that are happening um and and reduction in happening um and and reduction in happening um and and reduction in Workforce to get more profit margin is Workforce to get more profit margin is Workforce to get more profit margin is all going to be a lot of it's going to all going to be a lot of it's going to all going to be a lot of it's going to be driven by Ai and it hasn't really be driven by Ai and it hasn't really be driven by Ai and it hasn't really been publicly said by CEOs yet but a lot been publicly said by CEOs yet but a lot been publicly said by CEOs yet but a lot of administrative work and other if you of administrative work and other if you of administrative work and other if you look at the share of work that can be look at the share of work that can be look at the share of work that can be automated by AI by industry is pretty automated by AI by industry is pretty automated by AI by industry is pretty significant so and like OIC we don't significant so and like OIC we don't significant so and like OIC we don't have enough data to understand it and we have enough data to understand it and we have enough data to understand it and we really don't know what happens when you really don't know what happens when you really don't know what happens when you stop taking it that connection I think stop taking it that connection I think stop taking it that connection I think um no hold on there was there was um for um no hold on there was there was um for um no hold on there was there was um for whatever reason I've been reading quite whatever reason I've been reading quite whatever reason I've been reading quite a bit about these o oek like drugs and

  8. a bit about these o oek like drugs and a bit about these o oek like drugs and there was a bit that I found interesting there was a bit that I found interesting there was a bit that I found interesting that on not every not every person that that on not every not every person that that on not every not every person that takes it gets their brain rewired is the takes it gets their brain rewired is the takes it gets their brain rewired is the word I'm going to use therefore when word I'm going to use therefore when word I'm going to use therefore when some people get off the drug the have some people get off the drug the have some people get off the drug the have their old habits come back because their their old habits come back because their their old habits come back because their brains didn't get rewired so my concern brains didn't get rewired so my concern brains didn't get rewired so my concern is how long do I have to pum something is how long do I have to pum something is how long do I have to pum something into my body to you know to keep this so into my body to you know to keep this so into my body to you know to keep this so anyway got yeah and this but this whole thing about yeah and this but this whole thing about AI having caused a mass elimination of AI having caused a mass elimination of AI having caused a mass elimination of jobs in the last let's even year I think jobs in the last let's even year I think jobs in the last let's even year I think is number one a self-serving narrative is number one a self-serving narrative is number one a self-serving narrative for AI players they'd love to say that for AI players they'd love to say that for AI players they'd love to say that and most of the companies I think at and most of the companies I think at and most of the companies I think at least in Limelight that have been laying least in Limelight that have been laying least in Limelight that have been laying people off are are the tech companies people off are are the tech companies people off are are the tech companies the guys who are actually now Shilling the guys who are actually now Shilling the guys who are actually now Shilling um generative Ai and so they'd loveed um generative Ai and so they'd loveed um generative Ai and so they'd loveed say this stuff they'd love absolutely say this stuff they'd love absolutely say this stuff they'd love absolutely right and uh but rather than attributing right and uh but rather than attributing right and uh but rather than attributing it to maybe um you know that over the it to maybe um you know that over the it to maybe um you know that over the last few years they've funded you know last few years they've funded you know last few years they've funded you know projects that didn't go anywhere over projects that didn't go anywhere over projects that didn't go anywhere over hired I mean how about that being hired I mean how about that being hired I mean how about that being of of automation because most companies of of automation because most companies of of automation because most companies even them they are just trying to figure even them they are just trying to figure even them they are just trying to figure it out I mean you know this is where it out I mean you know this is where it out I mean you know this is where people are I think there's a

  9. people are I think there's a people are I think there's a differentiation between like the last differentiation between like the last differentiation between like the last couple of years you know and over hiring couple of years you know and over hiring couple of years you know and over hiring and the tech layoffs and I think moving and the tech layoffs and I think moving and the tech layoffs and I think moving forward though I think that a lot more forward though I think that a lot more forward though I think that a lot more companies will start looking at AI to companies will start looking at AI to companies will start looking at AI to reduce labor costs any any industry you reduce labor costs any any industry you reduce labor costs any any industry you look at the number one cost is labor look at the number one cost is labor look at the number one cost is labor right and so you know and it's going to right and so you know and it's going to right and so you know and it's going to be subtle or it's going to be explicit be subtle or it's going to be explicit be subtle or it's going to be explicit where's that line where's that line Pete where's that line where's that line Pete where's that line where's that line Pete yeah when does that happen yeah I mean yeah when does that happen yeah I mean yeah when does that happen yeah I mean it could be happening now with with some it could be happening now with with some it could be happening now with with some administrative tasks and other you know administrative tasks and other you know administrative tasks and other you know building automations and and you know uh building automations and and you know uh building automations and and you know uh in a number of Industries already if you in a number of Industries already if you in a number of Industries already if you look at the number one office and look at the number one office and look at the number one office and administrative support 46% of those administrative support 46% of those administrative support 46% of those types of jobs could be you know uh types of jobs could be you know uh types of jobs could be you know uh replaced with AI that's the that's the replaced with AI that's the that's the replaced with AI that's the that's the top of the stack um so you know I think top of the stack um so you know I think top of the stack um so you know I think you're going to see customer service I you're going to see customer service I you're going to see customer service I mean you're going to see things like mean you're going to see things like mean you're going to see things like that where frankly I was on the phone that where frankly I was on the phone that where frankly I was on the phone yesterday with AT&T with their customer yesterday with AT&T with their customer yesterday with AT&T with their customer service person I was thinking gosh I service person I was thinking gosh I service person I was thinking gosh I wish I was talking to an AI person I wish I was talking to an AI person I wish I was talking to an AI person I think this might been prodive think this might been prodive think this might been prodive experience yesterday seriously like how experience yesterday seriously like how experience yesterday seriously like how many times do I have to say the same many times do I have to say the same many times do I have to say the same thing over and over again what are the thing over and over again what are the thing over and over again what are the best movies about Pearl Harbor I kept best movies about Pearl Harbor I kept best movies about Pearl Harbor I kept asking her she couldn't give me a good asking her she couldn't give me a good asking her she couldn't give me a good answer when when we when we look at uh answer when when we when we look at uh answer when when we when we look at uh you know com companies that talk about you know com companies that talk about you know com companies that talk about eliminating jobs do you really feel that eliminating jobs do you really feel that eliminating jobs do you really feel that they trust AI enough now to do that they trust AI enough now to do that they trust AI enough now to do that because I don't because I don't because I don't think I don't think so I mean I I deal think I don't think so I mean I I deal think I don't think so I mean I I deal the most with AI in context context of

  10. the most with AI in context context of the most with AI in context context of healthare um but uh and it it's very healthare um but uh and it it's very healthare um but uh and it it's very very clear that some some lowlevel very clear that some some lowlevel very clear that some some lowlevel things you know can be trusted but then things you know can be trusted but then things you know can be trusted but then their jobs that be created to do other their jobs that be created to do other their jobs that be created to do other things right so you cannot just say okay things right so you cannot just say okay things right so you cannot just say okay I'm just gonna eliminate jobs because I I'm just gonna eliminate jobs because I I'm just gonna eliminate jobs because I have a but you should say like instead have a but you should say like instead have a but you should say like instead of six people doing it you could have of six people doing it you could have of six people doing it you could have you know three people doing it and three you know three people doing it and three you know three people doing it and three supervisors like you know there's still supervisors like you know there's still supervisors like you know there's still going to need to be that human super going to need to be that human super going to need to be that human super provision but yeah exactly and you got provision but yeah exactly and you got provision but yeah exactly and you got the security that's becoming more and the security that's becoming more and the security that's becoming more and more important it's not just about more important it's not just about more important it's not just about slapping a security um a cyber security slapping a security um a cyber security slapping a security um a cyber security algorithm it's like Debbie Reynolds algorithm it's like Debbie Reynolds algorithm it's like Debbie Reynolds wrote the other day in LinkedIn which I wrote the other day in LinkedIn which I wrote the other day in LinkedIn which I really liked it's the whole road map for really liked it's the whole road map for really liked it's the whole road map for your security and yeah you you let some your security and yeah you you let some your security and yeah you you let some people go because you need to hire other people go because you need to hire other people go because you need to hire other people but then the net net is not that people but then the net net is not that people but then the net net is not that oh because AI you can reduce your opal oh because AI you can reduce your opal oh because AI you can reduce your opal cost cost cost right one of the right one of the right one of the um the fud with automation was oh you um the fud with automation was oh you um the fud with automation was oh you know like this technolog is going to know like this technolog is going to know like this technolog is going to come and replace all these jobs and you come and replace all these jobs and you come and replace all these jobs and you know and it gets overused and and abused know and it gets overused and and abused know and it gets overused and and abused but you know the as humans we've been but you know the as humans we've been but you know the as humans we've been consuming food for you know couple of consuming food for you know couple of consuming food for you know couple of weeks couple of thousand years and weeks couple of thousand years and weeks couple of thousand years and automation is what has taken our food automation is what has taken our food automation is what has taken our food source to what it is and there's good source to what it is and there's good source to what it is and there's good and bad with that but you know a lot and bad with that but you know a lot and bad with that but you know a lot it's not like it went away were all the it's not like it went away were all the it's not like it went away were all the jobs every time we automate something

  11. jobs every time we automate something jobs every time we automate something three other jobs come out of that that three other jobs come out of that that three other jobs come out of that that abely well yeah I would say I would say abely well yeah I would say I would say abely well yeah I would say I would say it's more of it's more of it's more of mechanization uh industrial mechanization uh industrial mechanization uh industrial mechanization more than automation I mechanization more than automation I mechanization more than automation I mean I think we're still largely in both mean I think we're still largely in both mean I think we're still largely in both area both the same I like it you know so area both the same I like it you know so area both the same I like it you know so facto what Dave saying is right the real facto what Dave saying is right the real facto what Dave saying is right the real the thing that makes it really clear to the thing that makes it really clear to the thing that makes it really clear to people really fast is is over a 100 people really fast is is over a 100 people really fast is is over a 100 years ago you were all Farmers today 1% years ago you were all Farmers today 1% years ago you were all Farmers today 1% of the population is Farmers there's of the population is Farmers there's of the population is Farmers there's nothing that's been more drastic because nothing that's been more drastic because nothing that's been more drastic because of Automation and mechanization and of Automation and mechanization and of Automation and mechanization and Technology than agriculture it's just Technology than agriculture it's just Technology than agriculture it's just Stark true true and and we and we should Stark true true and and we and we should Stark true true and and we and we should um uh but I I appreciate the call out um uh but I I appreciate the call out um uh but I I appreciate the call out liner because you know it's good to use liner because you know it's good to use liner because you know it's good to use a precise language at some point during a precise language at some point during a precise language at some point during these these these podcasts well you know he did say podcasts well you know he did say podcasts well you know he did say Automation and mechanis Automation and mechanis Automation and mechanis yes and yes uh but you know I also think yes and yes uh but you know I also think yes and yes uh but you know I also think that we they are there are that we they are there are that we they are there are businesses um that just cannot get off businesses um that just cannot get off businesses um that just cannot get off the ground without Automation and we the ground without Automation and we the ground without Automation and we have to think about that if you're have to think about that if you're have to think about that if you're entrepreneur and you have a killer idea entrepreneur and you have a killer idea entrepreneur and you have a killer idea but you don't have the capital to hire but you don't have the capital to hire but you don't have the capital to hire Human Resources but you can leverage all Human Resources but you can leverage all Human Resources but you can leverage all these tools and Automation and even if these tools and Automation and even if these tools and Automation and even if you're two or thre Man Show or three you're two or thre Man Show or three you're two or thre Man Show or three women show I should say too um women show I should say too um women show I should say too um automation is was going to help you make

  12. automation is was going to help you make automation is was going to help you make a large company out of a handful of a large company out of a handful of a large company out of a handful of people and and that's not spoken enough people and and that's not spoken enough people and and that's not spoken enough about in industry and it D us nuts we about in industry and it D us nuts we about in industry and it D us nuts we see it yeah I think I think it's like in see it yeah I think I think it's like in see it yeah I think I think it's like in the best case scenario it's like the best case scenario it's like the best case scenario it's like Continuum the best case scenario is AI Continuum the best case scenario is AI Continuum the best case scenario is AI supercharges an existing worker to make supercharges an existing worker to make supercharges an existing worker to make them so much better and so much more them so much better and so much more them so much better and so much more productive and the worst case scenario productive and the worst case scenario productive and the worst case scenario that worker is replaced with I and it that worker is replaced with I and it that worker is replaced with I and it does like 80% as good of a job as the does like 80% as good of a job as the does like 80% as good of a job as the person you know and it's crappy and person you know and it's crappy and person you know and it's crappy and unfortunately you know the gravity is unfortunately you know the gravity is unfortunately you know the gravity is over here because companies like to just over here because companies like to just over here because companies like to just spend less money even if they kind of spend less money even if they kind of spend less money even if they kind of half asset and so you you know that's half asset and so you you know that's half asset and so you you know that's kind of the gravitational pull is for kind of the gravitational pull is for kind of the gravitational pull is for companies to replace workers with with companies to replace workers with with companies to replace workers with with kind of crappier AI and I hope that kind of crappier AI and I hope that kind of crappier AI and I hope that doesn't happen too much and for those doesn't happen too much and for those doesn't happen too much and for those that end up doing it and their business that end up doing it and their business that end up doing it and their business suffers then hopefully there'll be suffers then hopefully there'll be suffers then hopefully there'll be competitors that don't do that and competitors that don't do that and competitors that don't do that and they'll get the business but well there they'll get the business but well there they'll get the business but well there is a dirty laundry bit to the is a dirty laundry bit to the is a dirty laundry bit to the uh customer service um AI disruption uh customer service um AI disruption uh customer service um AI disruption narrative which is you know there are narrative which is you know there are narrative which is you know there are bad customers and they could you know an bad customers and they could you know an bad customers and they could you know an operator can let's say for instance can operator can let's say for instance can operator can let's say for instance can Target a particular Troublesome um Target a particular Troublesome um Target a particular Troublesome um customer like you customer like you customer like you Pete and then send you to one of their Pete and then send you to one of their Pete and then send you to one of their chat Bots that does escalated to the chat Bots that does escalated to the chat Bots that does escalated to the chatbot I'll send you to my chatbot I'll send you to my chatbot I'll send you to my manager manager will be a chat but that manager manager will be a chat but that manager manager will be a chat but that that's what happen yeah yeah yeah and so that's what happen yeah yeah yeah and so that's what happen yeah yeah yeah and so you know in these scenarios where you you know in these scenarios where you you know in these scenarios where you think that um let's say industrial grade

  13. think that um let's say industrial grade think that um let's say industrial grade or Enterprise grade is important or Enterprise grade is important or Enterprise grade is important actually um crap AI Works in their favor actually um crap AI Works in their favor actually um crap AI Works in their favor because uh maybe they do want some of because uh maybe they do want some of because uh maybe they do want some of these customers to churn and they want these customers to churn and they want these customers to churn and they want to get rid of them in a very targeted to get rid of them in a very targeted to get rid of them in a very targeted way and and so when you look at uh and way and and so when you look at uh and way and and so when you look at uh and do that in a scaled out way maybe right do that in a scaled out way maybe right do that in a scaled out way maybe right but then um be able to channel human but then um be able to channel human but then um be able to channel human resources resources resources uh and let's say AI augmented or uh and let's say AI augmented or uh and let's say AI augmented or supported human resources to drive uh supported human resources to drive uh supported human resources to drive uh acquisition right um cross you know acquisition right um cross you know acquisition right um cross you know let's say cross sell uh you know let's say cross sell uh you know let's say cross sell uh you know acquisition yeah so you know because you acquisition yeah so you know because you acquisition yeah so you know because you know how how many of you guys are going know how how many of you guys are going know how how many of you guys are going to switch or uh maybe buy a new service to switch or uh maybe buy a new service to switch or uh maybe buy a new service from a chatbot you you probably want to from a chatbot you you probably want to from a chatbot you you probably want to talk to somebody to find out more about talk to somebody to find out more about talk to somebody to find out more about it right so uh I mean we got to we have it right so uh I mean we got to we have it right so uh I mean we got to we have to think about objectives sometimes are to think about objectives sometimes are to think about objectives sometimes are not as Noble as we might think sure and not as Noble as we might think sure and not as Noble as we might think sure and that crappy AI might actually have a that crappy AI might actually have a that crappy AI might actually have a utility and especially if it's done at utility and especially if it's done at utility and especially if it's done at scale um it could be valuable to a scale um it could be valuable to a scale um it could be valuable to a company is counterintuitive but sure company is counterintuitive but sure company is counterintuitive but sure well I mean people like low cost they well I mean people like low cost they well I mean people like low cost they like convenience and they're willing to like convenience and they're willing to like convenience and they're willing to sacrifice quality to get both of those sacrifice quality to get both of those sacrifice quality to get both of those things yeah you know leard the in um at things yeah you know leard the in um at things yeah you know leard the in um at least specific to Telco um and business least specific to Telco um and business least specific to Telco um and business that has a call center obviously you that has a call center obviously you that has a call center obviously you know there's all sorts of costs know there's all sorts of costs know there's all sorts of costs associated with the call center the associated with the call center the associated with the call center the employee the

  14. employee the employee the infu you know we had all the crazy infu you know we had all the crazy infu you know we had all the crazy metrics of you know like time on the metrics of you know like time on the metrics of you know like time on the phone uh you know cost of losing the phone uh you know cost of losing the phone uh you know cost of losing the customer turn but one of the big kpis customer turn but one of the big kpis customer turn but one of the big kpis continues to be what's the workflow for continues to be what's the workflow for continues to be what's the workflow for that customer that coer service provider that customer that coer service provider that customer that coer service provider to terminate service right what's the to terminate service right what's the to terminate service right what's the balance because if Pete is cutting his balance because if Pete is cutting his balance because if Pete is cutting his service off he just wants the bot to service off he just wants the bot to service off he just wants the bot to just okay do it but there's no way right just okay do it but there's no way right just okay do it but there's no way right that the powers that be are going to let that the powers that be are going to let that the powers that be are going to let the bot just go all right man sorry to the bot just go all right man sorry to the bot just go all right man sorry to see you go your services imagine that see you go your services imagine that see you go your services imagine that imagine getting rid of Xfinity in two imagine getting rid of Xfinity in two imagine getting rid of Xfinity in two text messages that will make a lot of text messages that will make a lot of text messages that will make a lot of people way now you guys are discussing people way now you guys are discussing people way now you guys are discussing the dream the dream the dream world actually probably it's a dirty world actually probably it's a dirty world actually probably it's a dirty laundry reality actually and a lot of is laundry reality actually and a lot of is laundry reality actually and a lot of is right but I but but there's but you know right but I but but there's but you know right but I but but there's but you know there's I think this one uh actually we there's I think this one uh actually we there's I think this one uh actually we might be giving a industry Secrets here might be giving a industry Secrets here might be giving a industry Secrets here that if you want to talk to a you want that if you want to talk to a you want that if you want to talk to a you want to talk to a human use the words I want to talk to a human use the words I want to talk to a human use the words I want to terminate my service and see how to terminate my service and see how to terminate my service and see how quickly get you get you get talk to you quickly get you get you get talk to you quickly get you get you get talk to you immediately it's probably better than immediately it's probably better than immediately it's probably better than tweeting something bad about the brand tweeting something bad about the brand tweeting something bad about the brand which used to work so it's a good idea which used to work so it's a good idea which used to work so it's a good idea it's a very good idea yeah I mean with it's a very good idea yeah I mean with it's a very good idea yeah I mean with customer retention is like huge right I customer retention is like huge right I customer retention is like huge right I mean at the end of the day that that's mean at the end of the day that that's mean at the end of the day that that's the main thing it's 100% that is the the main thing it's 100% that is the the main thing it's 100% that is the thing so I mean even when you talk to thing so I mean even when you talk to thing so I mean even when you talk to the person the first question out of

  15. the person the first question out of the person the first question out of their mouth is what can we do to keep their mouth is what can we do to keep their mouth is what can we do to keep you right yeah it's like terminate my you right yeah it's like terminate my you right yeah it's like terminate my service and you can keep me service and you can keep me service and you can keep me happy happy happy boom boom boom boom that's all I want that's all I want boom that's all I want that's all I want boom that's all I want that's all I want the Terminator to your office yeah on the Terminator to your office yeah on the Terminator to your office yeah on the on the other hand if you can build a the on the other hand if you can build a the on the other hand if you can build a personal AI app actually figure out how personal AI app actually figure out how personal AI app actually figure out how to terminate your service for you on to terminate your service for you on to terminate your service for you on your background maybe there's the market your background maybe there's the market your background maybe there's the market for that could be I pay I pay a fee a for that could be I pay I pay a fee a for that could be I pay I pay a fee a monly fee for an app like monly fee for an app like monly fee for an app like that yeah but then you run R all your that yeah but then you run R all your that yeah but then you run R all your information being leaked out there yeah information being leaked out there yeah information being leaked out there yeah then you need to like give someone give then you need to like give someone give then you need to like give someone give some entity all this access to scrape some entity all this access to scrape some entity all this access to scrape and poke and find stuff and then yeah if and poke and find stuff and then yeah if and poke and find stuff and then yeah if it run if it runs locally on the edge I it run if it runs locally on the edge I it run if it runs locally on the edge I have no problem giving them a password have no problem giving them a password have no problem giving them a password to navigate all my accounts and figure to navigate all my accounts and figure to navigate all my accounts and figure out how to canel the CP oh hell no you out how to canel the CP oh hell no you out how to canel the CP oh hell no you are Blasphemous one are Blasphemous one are Blasphemous one day I'm not giving I look hey I I got I day I'm not giving I look hey I I got I day I'm not giving I look hey I I got I got two things left it's hard times in got two things left it's hard times in got two things left it's hard times in wooden nickels and I'm fresh out of wooden nickels and I'm fresh out of wooden nickels and I'm fresh out of wooden nickels I'm not giving any entity wooden nickels I'm not giving any entity wooden nickels I'm not giving any entity any damn any damn any damn thing you got to be kidding me if it's thing you got to be kidding me if it's thing you got to be kidding me if it's running locally no I I disagree if it's running locally no I I disagree if it's running locally no I I disagree if it's running locally yes well I don't want running locally yes well I don't want running locally yes well I don't want elevated privileges yeah we elevated elevated privileges yeah we elevated elevated privileges yeah we elevated privileges and we my super obviously hey privileges and we my super obviously hey privileges and we my super obviously hey can I collect to X to figure out how to can I collect to X to figure out how to can I collect to X to figure out how to turn it off today you can you run on a turn it off today you can you run on a turn it off today you can you run on a box your kitchen you have to have a b box your kitchen you have to have a b box your kitchen you have to have a b that runs locally on your personal

  16. that runs locally on your personal that runs locally on your personal private yeah I'm not running that in the private yeah I'm not running that in the private yeah I'm not running that in the cloud it's like you know testing if your cloud it's like you know testing if your cloud it's like you know testing if your password is secure in the cloud local or password is secure in the cloud local or password is secure in the cloud local or not I'm not doing it that I don't trust not I'm not doing it that I don't trust not I'm not doing it that I don't trust I don't trust if I'm talking out there's I don't trust if I'm talking out there's I don't trust if I'm talking out there's outbound information that's going I outbound information that's going I outbound information that's going I don't care what it is yeah and and if don't care what it is yeah and and if don't care what it is yeah and and if it's outbound there's a way in yeah it's outbound there's a way in yeah it's outbound there's a way in yeah see that's the problem with you Bill you see that's the problem with you Bill you see that's the problem with you Bill you know too know too know too much that's why you're SC brother there much that's why you're SC brother there much that's why you're SC brother there there's know it's this whole thing right there's know it's this whole thing right there's know it's this whole thing right I mean like so 100% I am a I mean like so 100% I am a I mean like so 100% I am a hack um I taught myself how to code and hack um I taught myself how to code and hack um I taught myself how to code and I taught myself how to hack I was one of I taught myself how to hack I was one of I taught myself how to hack I was one of those that was doing a whole bunch of those that was doing a whole bunch of those that was doing a whole bunch of Nefarious things in the past but that is Nefarious things in the past but that is Nefarious things in the past but that is how you learn about where those back how you learn about where those back how you learn about where those back doors are and and what what's possible doors are and and what what's possible doors are and and what what's possible and ecms and all of these other things and ecms and all of these other things and ecms and all of these other things that happen from you know from one end that happen from you know from one end that happen from you know from one end to the next there's no way if you're if to the next there's no way if you're if to the next there's no way if you're if you're if you got outbound messages you're if you got outbound messages you're if you got outbound messages going there there's no one that's going going there there's no one that's going going there there's no one that's going to tell me that you don't have an to tell me that you don't have an to tell me that you don't have an inbound opportunity you know you might inbound opportunity you know you might inbound opportunity you know you might have an opportunity yeah but I on a have an opportunity yeah but I on a have an opportunity yeah but I on a second iang got a second on that okay second iang got a second on that okay second iang got a second on that okay because then you assume that you're the because then you assume that you're the because then you assume that you're the only person that can be you know the the only person that can be you know the the only person that can be you know the the the sole guardian of those secrets and the sole guardian of those secrets and the sole guardian of those secrets and and you subject to social engineering and you subject to social engineering and you subject to social engineering like everybody else so what if you can like everybody else so what if you can like everybody else so what if you can reach a certain level of AI where the AI reach a certain level of AI where the AI reach a certain level of AI where the AI is less subject to social engineering is less subject to social engineering is less subject to social engineering that you are I created that I don't know that you are I created that I don't know that you are I created that I don't know I mean there's this way this is I mean I mean there's this way this is I mean I mean there's this way this is I mean we we got into this philosophical we we got into this philosophical we we got into this philosophical discussion I think in the past already discussion I think in the past already discussion I think in the past already there is this kind of artificial there is this kind of artificial there is this kind of artificial intelligence perception that humans is

  17. intelligence perception that humans is intelligence perception that humans is always to going to be superior I think always to going to be superior I think always to going to be superior I think in the long term it's not necessarily in the long term it's not necessarily in the long term it's not necessarily true there might be things that AI is true there might be things that AI is true there might be things that AI is might be true today for some folks might be true today for some folks might be true today for some folks exactly AI might be more I mean not exactly AI might be more I mean not exactly AI might be more I mean not saying today but AI might not might be saying today but AI might not might be saying today but AI might not might be actually more less I mean sorry less actually more less I mean sorry less actually more less I mean sorry less subject to social engineering that we subject to social engineering that we subject to social engineering that we are as are as are as humanly so humanly so humanly so I don't disagree with you I don't I don't disagree with you I don't I don't disagree with you I don't disagree with you Bill I'm paranoid as disagree with you Bill I'm paranoid as disagree with you Bill I'm paranoid as well I'm hacked too and I did bad things well I'm hacked too and I did bad things well I'm hacked too and I did bad things in the past and I understand what you're in the past and I understand what you're in the past and I understand what you're saying but to some extent I mean first saying but to some extent I mean first saying but to some extent I mean first of all what I was trying to say is that of all what I was trying to say is that of all what I was trying to say is that if you have my view is always that you if you have my view is always that you if you have my view is always that you should keep your secrets local on the should keep your secrets local on the should keep your secrets local on the edge not I can agree with that I mean I edge not I can agree with that I mean I edge not I can agree with that I mean I I totally think that you should keep I totally think that you should keep I totally think that you should keep your secrets up here because because your secrets up here because because your secrets up here because because that's I mean that's the ultimate right that's I mean that's the ultimate right that's I mean that's the ultimate right I mean that's the Safeguard I mean that's the Safeguard I mean that's the Safeguard at the end of the day a very long random at the end of the day a very long random at the end of the day a very long random password that you can remember to type password that you can remember to type password that you can remember to type is still the best security is still the best security is still the best security authentication well everyone knows authentication well everyone knows authentication well everyone knows you're supposed to put your passwords on you're supposed to put your passwords on you're supposed to put your passwords on a Post-It Noe and stick it on your a Post-It Noe and stick it on your a Post-It Noe and stick it on your fridge I mean it's well I mean that's fridge I mean it's well I mean that's fridge I mean it's well I mean that's that's the Safeguard you know I know the that's the Safeguard you know I know the that's the Safeguard you know I know the keyboard it's on the edge it's on the keyboard it's on the edge it's on the keyboard it's on the edge it's on the edge that's where you put the that's edge that's where you put the that's edge that's where you put the that's where you yeah there it is under the where you yeah there it is under the where you yeah there it is under the keyboard that's the other place yeah keyboard that's the other place yeah keyboard that's the other place yeah there's the edge there you go oh my God there's the edge there you go oh my God there's the edge there you go oh my God hey Bill Bill did you I can't remember hey Bill Bill did you I can't remember hey Bill Bill did you I can't remember what was the conference you just went to what was the conference you just went to what was the conference you just went to distribute Tech how was it this year it distribute Tech how was it this year it distribute Tech how was it this year it was awesome I mean some 30,000 plus was awesome I mean some 30,000 plus was awesome I mean some 30,000 plus people there yeah wow it was the first

  18. people there yeah wow it was the first people there yeah wow it was the first time that I actually seen them make a time that I actually seen them make a time that I actually seen them make a concerted effort to tie utilities and concerted effort to tie utilities and concerted effort to tie utilities and the cities the cities the cities together uh and talk about this those together uh and talk about this those together uh and talk about this those two as as as a unified solution hey um two as as as a unified solution hey um two as as as a unified solution hey um but Rob did you realize last week you but Rob did you realize last week you but Rob did you realize last week you dissed on Bill dissed on Bill dissed on Bill about what oh no the the whole you in about what oh no the the whole you in about what oh no the the whole you in order to have a smart City you must have order to have a smart City you must have order to have a smart City you must have a smart grid no you told me that who did a smart grid no you told me that who did a smart grid no you told me that who did you said that somebody told you that you said that somebody told you that you said that somebody told you that they had to have a smart grid and I was they had to have a smart grid and I was they had to have a smart grid and I was like says who no that's bill that's me like says who no that's bill that's me like says who no that's bill that's me you don't I can make a smart City you don't I can make a smart City you don't I can make a smart City without a smart grid no you can't without a smart grid no you can't without a smart grid no you can't no no you can't absolutely not no no you can't absolutely not no no you can't absolutely not unequivocally no oh my God it's unequivocally no oh my God it's unequivocally no oh my God it's impossible my God it's not possible and impossible my God it's not possible and impossible my God it's not possible and everything's a journey you're going to everything's a journey you're going to everything's a journey you're going to be doing bits at a time you don't just be doing bits at a time you don't just be doing bits at a time you don't just go how how how when when everything that go how how how when when everything that go how how how when when everything that you're talking about is governed by you're talking about is governed by you're talking about is governed by power water or gas I agree it's governed power water or gas I agree it's governed power water or gas I agree it's governed by power I'm just saying I know what a by power I'm just saying I know what a by power I'm just saying I know what a smart grid is the electricity and smart grid is the electricity and smart grid is the electricity and everything and a lot of people have everything and a lot of people have everything and a lot of people have tried to do that God we tried to do it tried to do that God we tried to do it tried to do that God we tried to do it when I was in Itachi in 2016 and they when I was in Itachi in 2016 and they when I was in Itachi in 2016 and they shut down the whole business because shut down the whole business because shut down the whole business because they couldn't get cities to play ball they couldn't get cities to play ball they couldn't get cities to play ball with the power compies with the power compies with the power compies sorry it was like there's so many sorry it was like there's so many sorry it was like there's so many different people and entities involved different people and entities involved different people and entities involved well yeah I mean power and power and well yeah I mean power and power and well yeah I mean power and power and electricity is so regulated and so much electricity is so regulated and so much electricity is so regulated and so much Brownfield and so many things outside of Brownfield and so many things outside of Brownfield and so many things outside of control I'm sure it was a great

  19. control I'm sure it was a great control I'm sure it was a great discussion and it's a brilliant idea it discussion and it's a brilliant idea it discussion and it's a brilliant idea it was just people spent a smarter grid as was just people spent a smarter grid as was just people spent a smarter grid as opposed to opposed to opposed to Smart well I mean you got to start Smart well I mean you got to start Smart well I mean you got to start somewhere right right about now it's somewhere right right about now it's somewhere right right about now it's about as dumb as can be it is dumb it is about as dumb as can be it is dumb it is about as dumb as can be it is dumb it is dumb I know I mean I mean the the whole dumb I know I mean I mean the the whole dumb I know I mean I mean the the whole the whole notion R if look at it right the whole notion R if look at it right the whole notion R if look at it right there's a number of quote unquote smart there's a number of quote unquote smart there's a number of quote unquote smart grid is Solutions so I mean and and it grid is Solutions so I mean and and it grid is Solutions so I mean and and it and it and there's a a clear Divergence and it and there's a a clear Divergence and it and there's a a clear Divergence between residential versus commercial between residential versus commercial between residential versus commercial right um but but with this whole right um but but with this whole right um but but with this whole movement towards electrification when movement towards electrification when movement towards electrification when you start looking at distributed energy you start looking at distributed energy you start looking at distributed energy resources and things that sit behind the resources and things that sit behind the resources and things that sit behind the meter and wanting to control those meter and wanting to control those meter and wanting to control those things for for CO2 purposes only carbon things for for CO2 purposes only carbon things for for CO2 purposes only carbon footprint purposes only M then it gets footprint purposes only M then it gets footprint purposes only M then it gets to be significant when you're talking to be significant when you're talking to be significant when you're talking about photovoltaic and bir about photovoltaic and bir about photovoltaic and bir directionality associated with that so directionality associated with that so directionality associated with that so that you can actually share energy with that you can actually share energy with that you can actually share energy with your neighbors now this whole thing your neighbors now this whole thing your neighbors now this whole thing about putting energy back on the grid about putting energy back on the grid about putting energy back on the grid let's stop that it's not going let's stop that it's not going let's stop that it's not going back to the substation it is literally back to the substation it is literally back to the substation it is literally going from the distribution uh going from the distribution uh going from the distribution uh Transformer from your house dist Transformer from your house dist Transformer from your house dist Transformer to your neighbors that are Transformer to your neighbors that are Transformer to your neighbors that are connected to the same distri Transformer connected to the same distri Transformer connected to the same distri Transformer doesn't go back that's right right right doesn't go back that's right right right doesn't go back that's right right right that's right so so there's there's that that's right so so there's there's that that's right so so there's there's that whole whole piece of it and then you're whole whole piece of it and then you're whole whole piece of it and then you're starting to see this jockeying between starting to see this jockeying between starting to see this jockeying between the operators and the utilities and the operators and the utilities and the operators and the utilities and everything wanting to control your your everything wanting to control your your everything wanting to control your your assets your your you know that load assets your your you know that load assets your your you know that load control that's what they want load control that's what they want load control that's what they want load disaggregation and all these other

  20. disaggregation and all these other disaggregation and all these other things and I'm like look like like things and I'm like look like like things and I'm like look like like Demitri like we were just saying I'm not Demitri like we were just saying I'm not Demitri like we were just saying I'm not letting you anywhere near all of that letting you anywhere near all of that letting you anywhere near all of that you can put a smart meter on but that's you can put a smart meter on but that's you can put a smart meter on but that's as far as you go bill is just like those as far as you go bill is just like those as far as you go bill is just like those ads you hear on the radio and TV in ads you hear on the radio and TV in ads you hear on the radio and TV in Texas with Matthew mccon comes on and Texas with Matthew mccon comes on and Texas with Matthew mccon comes on and tell you you know all you TXU and tell you you know all you TXU and tell you you know all you TXU and Reliant Energy and whatever customers in Reliant Energy and whatever customers in Reliant Energy and whatever customers in Texas if you'll just put this cool Texas if you'll just put this cool Texas if you'll just put this cool little thing on your house yes and little thing on your house yes and little thing on your house yes and everything you're going to save so much everything you're going to save so much everything you're going to save so much money and you're saving the planet and money and you're saving the planet and money and you're saving the planet and we might we might screw you over in a we might we might screw you over in a we might we might screw you over in a big way though when thead is too high on big way though when thead is too high on big way though when thead is too high on the grid yeah you well I mean you you're the grid yeah you well I mean you you're the grid yeah you well I mean you you're going to give them that control right going to give them that control right going to give them that control right and and oh by the way we just W to in and and oh by the way we just W to in and and oh by the way we just W to in Texas we just want to control your Texas we just want to control your Texas we just want to control your thermostat thermostat thermostat GTFO are you kidding me are you kidding GTFO are you kidding me are you kidding GTFO are you kidding me are you kidding me it's 110 degrees in July and we'd me it's 110 degrees in July and we'd me it's 110 degrees in July and we'd love for you to just turn that love for you to just turn that love for you to just turn that thermostat up to 85 or 90 you know I thermostat up to 85 or 90 you know I thermostat up to 85 or 90 you know I mean look we'll turn it up for you mean look we'll turn it up for you mean look we'll turn it up for you that's what they're saying we'll turn it that's what they're saying we'll turn it that's what they're saying we'll turn it up for you that's what they want that's up for you that's what they want that's up for you that's what they want that's what they want absolutely so I mean we what they want absolutely so I mean we what they want absolutely so I mean we got to be smart about those things I got to be smart about those things I got to be smart about those things I think the things that I'm that I'm think the things that I'm that I'm think the things that I'm that I'm looking at are they think they're being looking at are they think they're being looking at are they think they're being smart and they think we're dumb smart and they think we're dumb smart and they think we're dumb Lites well yeah I mean but I mean again Lites well yeah I mean but I mean again Lites well yeah I mean but I mean again you know when you start looking at all you know when you start looking at all you know when you start looking at all of those things it's easy to see that if of those things it's easy to see that if of those things it's easy to see that if you you you you've separated utility you you you you've separated utility you you you you've separated utility from the from the city you know since from the from the city you know since from the from the city you know since the beginning of time right um utilities

  21. the beginning of time right um utilities the beginning of time right um utilities don't sh Well normally utilities don't don't sh Well normally utilities don't don't sh Well normally utilities don't share their data with the city the city share their data with the city the city share their data with the city the city doesn't share their data so when there's doesn't share their data so when there's doesn't share their data so when there's a power outage the city doesn't know a power outage the city doesn't know a power outage the city doesn't know when the hell is coming back on right when the hell is coming back on right when the hell is coming back on right they have no Insight right they have no Insight right they have no Insight right yeah and also there's this thing Bill yeah and also there's this thing Bill yeah and also there's this thing Bill maybe you can speak to it like this idea maybe you can speak to it like this idea maybe you can speak to it like this idea of virtual power plants and like how of virtual power plants and like how of virtual power plants and like how they that that is that like clustering they that that is that like clustering they that that is that like clustering these like things together to to you these like things together to to you these like things together to to you know it's like instead of a central know it's like instead of a central know it's like instead of a central power plant there's like all these other power plant there's like all these other power plant there's like all these other people generating electricity or people generating electricity or people generating electricity or generating power that can be fed back to generating power that can be fed back to generating power that can be fed back to the the community or something is that the the community or something is that the the community or something is that so so that that's an old I mean it they so so that that's an old I mean it they so so that that's an old I mean it they change names like every 10 years right I change names like every 10 years right I change names like every 10 years right I mean realistically you know if you go mean realistically you know if you go mean realistically you know if you go back Circa 2008 uh there was a notion of back Circa 2008 uh there was a notion of back Circa 2008 uh there was a notion of community energy storage right even then community energy storage right even then community energy storage right even then right and the the whole concept behind right and the the whole concept behind right and the the whole concept behind that is that you have enough storage that is that you have enough storage that is that you have enough storage within a given community and but you within a given community and but you within a given community and but you need that you need that rooftop need that you need that rooftop need that you need that rooftop solar and you need so you needed so many solar and you need so you needed so many solar and you need so you needed so many different things that didn't come along different things that didn't come along different things that didn't come along until just recently I see and and now if until just recently I see and and now if until just recently I see and and now if you did that right I mean if you had if you did that right I mean if you had if you did that right I mean if you had if you had everybody had you know anywhere you had everybody had you know anywhere you had everybody had you know anywhere from 10 to 15 kilowatts of from 10 to 15 kilowatts of from 10 to 15 kilowatts of storage now you can actually unplug from storage now you can actually unplug from storage now you can actually unplug from the utility yeah exactly so the the utility yeah exactly so the the utility yeah exactly so the community can be self- sustaining with community can be self- sustaining with community can be self- sustaining with its own power exactly yeah it's kind of its own power exactly yeah it's kind of its own power exactly yeah it's kind of cool which interesting enough was

  22. cool which interesting enough was cool which interesting enough was Edison's initial Vision Edison's initi Edison's initial Vision Edison's initi Edison's initial Vision Edison's initi Vision that you would have a lot of Vision that you would have a lot of Vision that you would have a lot of local little power generation and not local little power generation and not local little power generation and not you know one big grid with one big you know one big grid with one big you know one big grid with one big central power but your your point is is central power but your your point is is central power but your your point is is critical bill is the storage as soon as critical bill is the storage as soon as critical bill is the storage as soon as the storage can be cheaply affordable the storage can be cheaply affordable the storage can be cheaply affordable then that unlocks new reconstruct of the then that unlocks new reconstruct of the then that unlocks new reconstruct of the smart grid because most of the smart smart grid because most of the smart smart grid because most of the smart grid I think initial effort was very grid I think initial effort was very grid I think initial effort was very much you know kind of trying to put some much you know kind of trying to put some much you know kind of trying to put some tech on top of an existing grid but tech on top of an existing grid but tech on top of an existing grid but there's no change driving that if you there's no change driving that if you there's no change driving that if you now have mass storage distributed then now have mass storage distributed then now have mass storage distributed then you change the model then you have the you change the model then you have the you change the model then you have the opportunity to build a new a new model opportunity to build a new a new model opportunity to build a new a new model New Foundation so yeah absolutely and New Foundation so yeah absolutely and New Foundation so yeah absolutely and you unlock the other possibilities of of you unlock the other possibilities of of you unlock the other possibilities of of you know from electrification you know from electrification you know from electrification perspective using your EVS as has perspective using your EVS as has perspective using your EVS as has another source I mean there's all of another source I mean there's all of another source I mean there's all of that happens but right now it's the it's that happens but right now it's the it's that happens but right now it's the it's the storage costs that are that are the storage costs that are that are the storage costs that are that are driving things um you know to a Slowdown driving things um you know to a Slowdown driving things um you know to a Slowdown and by the way this this is going to and by the way this this is going to and by the way this this is going to resonate with Rob a lot but one of my resonate with Rob a lot but one of my resonate with Rob a lot but one of my main argument when I was at G talking main argument when I was at G talking main argument when I was at G talking about this industrial iot platform was about this industrial iot platform was about this industrial iot platform was well you have to look at the use cases well you have to look at the use cases well you have to look at the use cases if the use case is optimization you're if the use case is optimization you're if the use case is optimization you're always going to go after oh what is my always going to go after oh what is my always going to go after oh what is my TCO what is my return investment so if TCO what is my return investment so if TCO what is my return investment so if there isn't something changing within there isn't something changing within there isn't something changing within the industry itself yeah the opportunity the industry itself yeah the opportunity the industry itself yeah the opportunity to put mass iot is much lower so in to put mass iot is much lower so in to put mass iot is much lower so in cases like you know car manufacturing cases like you know car manufacturing cases like you know car manufacturing where we moving to full electricity you where we moving to full electricity you where we moving to full electricity you can reinvent the whole car manufacturing can reinvent the whole car manufacturing can reinvent the whole car manufacturing process and in Smart City we're missing process and in Smart City we're missing process and in Smart City we're missing this kind of what is the change so if this kind of what is the change so if this kind of what is the change so if know battery storage for power is now a

  23. know battery storage for power is now a know battery storage for power is now a big change yes it is a big change then big change yes it is a big change then big change yes it is a big change then you can see value for digital you can see value for digital you can see value for digital technologies that will be kind of ogor technologies that will be kind of ogor technologies that will be kind of ogor of magnitude just just optimization of magnitude just just optimization of magnitude just just optimization which is you know B TCO and how much I'm which is you know B TCO and how much I'm which is you know B TCO and how much I'm going to save and going to save and going to save and that's one of the big factors that why that's one of the big factors that why that's one of the big factors that why iot platforms don't spread because most iot platforms don't spread because most iot platforms don't spread because most of the use cases oil and gas we still of the use cases oil and gas we still of the use cases oil and gas we still pump oil and gas can we optimize yes but pump oil and gas can we optimize yes but pump oil and gas can we optimize yes but it's optimization is not an order of it's optimization is not an order of it's optimization is not an order of magnitude new business model seven Sigma magnitude new business model seven Sigma magnitude new business model seven Sigma dude yeah you're right what's the number dude yeah you're right what's the number dude yeah you're right what's the number what's the first what's the number one what's the first what's the number one what's the first what's the number one driver for utilities now like I was I driver for utilities now like I was I driver for utilities now like I was I was actually talking about remote was actually talking about remote was actually talking about remote disconnect the other day um because disconnect the other day um because disconnect the other day um because that's still a big thing you know to that's still a big thing you know to that's still a big thing you know to have someone physically roll a truck to have someone physically roll a truck to have someone physically roll a truck to disconnect or connect power at a disconnect or connect power at a disconnect or connect power at a customer now to mention some places customer now to mention some places customer now to mention some places where let's just say you might be met where let's just say you might be met where let's just say you might be met with hostility by going into someone's with hostility by going into someone's with hostility by going into someone's property with the aim to un Electrify property with the aim to un Electrify property with the aim to un Electrify the premises it's not gonna be okay so the premises it's not gonna be okay so the premises it's not gonna be okay so isn't that a big thing still at the isn't that a big thing still at the isn't that a big thing still at the tribute Tech well remote disconnect is a tribute Tech well remote disconnect is a tribute Tech well remote disconnect is a given these days if you have if you have given these days if you have if you have given these days if you have if you have uh Ami it's a it's a given it's table uh Ami it's a it's a given it's table uh Ami it's a it's a given it's table States um but the the the larger Focus States um but the the the larger Focus States um but the the the larger Focus now is is more around grid optimization now is is more around grid optimization now is is more around grid optimization and grid modernization right so you're and grid modernization right so you're and grid modernization right so you're starting to see more of the advanced starting to see more of the advanced starting to see more of the advanced distribution Management Systems so adms distribution Management Systems so adms distribution Management Systems so adms is a big deal um you know managing the is a big deal um you know managing the is a big deal um you know managing the the the grid across the board because the the grid across the board because the the grid across the board because what what a lot of people don't even

  24. what what a lot of people don't even what what a lot of people don't even recognize is that there's things called recognize is that there's things called recognize is that there's things called sags and swells right so energy is not sags and swells right so energy is not sags and swells right so energy is not delivered and it's not necessarily delivered and it's not necessarily delivered and it's not necessarily always clean and based on the demand you always clean and based on the demand you always clean and based on the demand you can get these sags that then you know can get these sags that then you know can get these sags that then you know could cause brown outs flickers and what could cause brown outs flickers and what could cause brown outs flickers and what have you and you can also get swells have you and you can also get swells have you and you can also get swells which will cause potential Transformers which will cause potential Transformers which will cause potential Transformers to explode and other other catastrophic to explode and other other catastrophic to explode and other other catastrophic uh events so it's about it's about grid uh events so it's about it's about grid uh events so it's about it's about grid modernization and and instrumentation modernization and and instrumentation modernization and and instrumentation but ironically the you know I still say but ironically the you know I still say but ironically the you know I still say that we're ignoring one of the larger that we're ignoring one of the larger that we're ignoring one of the larger pieces which is water the whole the pieces which is water the whole the pieces which is water the whole the whole concept around water and the whole concept around water and the whole concept around water and the amount of water that that is lost from amount of water that that is lost from amount of water that that is lost from the from the water distribution to the the from the water distribution to the the from the water distribution to the point of service is tremendous you're point of service is tremendous you're point of service is tremendous you're still talking about anywhere from 20 to still talking about anywhere from 20 to still talking about anywhere from 20 to 40% of the water is lost and they don't 40% of the water is lost and they don't 40% of the water is lost and they don't know where right probably in the ground know where right probably in the ground know where right probably in the ground probably seeps into the ground yeah I'll probably seeps into the ground yeah I'll probably seeps into the ground yeah I'll say some things when we stop recording say some things when we stop recording say some things when we stop recording about not knowing where and whether you about not knowing where and whether you about not knowing where and whether you a commercial customer or a residential a commercial customer or a residential a commercial customer or a residential customer and I don't know where oh yeah customer and I don't know where oh yeah customer and I don't know where oh yeah no no no no there's yeah let's talk no no no no there's yeah let's talk no no no no there's yeah let's talk about that but also Bill isn't it isn't about that but also Bill isn't it isn't about that but also Bill isn't it isn't it true also that there's a lot of it true also that there's a lot of it true also that there's a lot of electricity that's lost in the in the electricity that's lost in the in the electricity that's lost in the in the transmission the old transmission lines transmission the old transmission lines transmission the old transmission lines from 50 years ago absolutely what's the from 50 years ago absolutely what's the from 50 years ago absolutely what's the percentage that's lost between you know percentage that's lost between you know percentage that's lost between you know the the power you know source and the the the power you know source and the the the power you know source and the and the house I it's probably 20 30% it and the house I it's probably 20 30% it and the house I it's probably 20 30% it is 30% it's it's 30% you got 30% loss

  25. is 30% it's it's 30% you got 30% loss is 30% it's it's 30% you got 30% loss there but then you got these things there but then you got these things there but then you got these things called non-technical loss which is called non-technical loss which is called non-technical loss which is people actually stealing people actually stealing people actually stealing it right so you got you got all that but it right so you got you got all that but it right so you got you got all that but back to the water how much how much back to the water how much how much back to the water how much how much electricity does it take to electricity does it take to electricity does it take to pump yes yeah well if anyone has seen a pump yes yeah well if anyone has seen a pump yes yeah well if anyone has seen a pump station you'll get a good idea of pump station you'll get a good idea of pump station you'll get a good idea of how many kilowatt hours I need to run a how many kilowatt hours I need to run a how many kilowatt hours I need to run a pump station properly wasn't there pump station properly wasn't there pump station properly wasn't there there's a story in Arizona Maricopa there's a story in Arizona Maricopa there's a story in Arizona Maricopa County that's running out of groundwater County that's running out of groundwater County that's running out of groundwater they're building a salinity plant in they're building a salinity plant in they're building a salinity plant in Mexico yes um they're desalinating the Mexico yes um they're desalinating the Mexico yes um they're desalinating the Pacific Ocean and then pumping it uphill Pacific Ocean and then pumping it uphill Pacific Ocean and then pumping it uphill 200 miles into Arizona like that is 200 miles into Arizona like that is 200 miles into Arizona like that is insane and you know the power that's insane and you know the power that's insane and you know the power that's electricity first of all they have to electricity first of all they have to electricity first of all they have to use electricity to pump all this water use electricity to pump all this water use electricity to pump all this water and they you know so they can you know and they you know so they can you know and they you know so they can you know water their golf courses I guess I don't water their golf courses I guess I don't water their golf courses I guess I don't know what's going on I have a funny know what's going on I have a funny know what's going on I have a funny feeling California real estate is going feeling California real estate is going feeling California real estate is going to go up to go up to go up again again again up but Bill a 200 M you know everybody up but Bill a 200 M you know everybody up but Bill a 200 M you know everybody back any going through two different back any going through two different back any going through two different countries through areas that are not countries through areas that are not countries through areas that are not necessarily populated why could possibly necessarily populated why could possibly necessarily populated why could possibly go wrong you know you guys probably go wrong you know you guys probably go wrong you know you guys probably think I'm insane CU back in 2012 I wrote think I'm insane CU back in 2012 I wrote think I'm insane CU back in 2012 I wrote a white paper a white paper a white paper about pumping dile plants lining our about pumping dile plants lining our about pumping dile plants lining our coasts with nuclear power plants and coasts with nuclear power plants and coasts with nuclear power plants and stuff and pipel natural gas pipelines stuff and pipel natural gas pipelines stuff and pipel natural gas pipelines repurposed for water because of mass repurposed for water because of mass repurposed for water because of mass droughts we saw in the Midwest and 2010

  26. droughts we saw in the Midwest and 2010 droughts we saw in the Midwest and 2010 2012 we saw droughts in California it 2012 we saw droughts in California it 2012 we saw droughts in California it all sounds insane right now but in the all sounds insane right now but in the all sounds insane right now but in the end there's things that we will do CRA end there's things that we will do CRA end there's things that we will do CRA we'll spend crazy money to keep people we'll spend crazy money to keep people we'll spend crazy money to keep people alive right I mean we got to have air alive right I mean we got to have air alive right I mean we got to have air water and food you know yeah so uh see water and food you know yeah so uh see water and food you know yeah so uh see of Cortez and pumping stuff right out of Cortez and pumping stuff right out of Cortez and pumping stuff right out there straight up in there straight up in there straight up in Arizona it doesn't sound that crazy to Arizona it doesn't sound that crazy to Arizona it doesn't sound that crazy to me what's really crazy is trying to pump me what's really crazy is trying to pump me what's really crazy is trying to pump pump stations to get water over the pump stations to get water over the pump stations to get water over the Rocky Mountains and stuff like that woo Rocky Mountains and stuff like that woo Rocky Mountains and stuff like that woo I know well just to just to bring it I know well just to just to bring it I know well just to just to bring it back to AI that we're generative AI how back to AI that we're generative AI how back to AI that we're generative AI how much water and power does it take to run much water and power does it take to run much water and power does it take to run an AI query it takes about 500 milliters an AI query it takes about 500 milliters an AI query it takes about 500 milliters a bottle of water to uh Power about a 20 a bottle of water to uh Power about a 20 a bottle of water to uh Power about a 20 to 50 question uh J chat GPT to 50 question uh J chat GPT to 50 question uh J chat GPT session so there's a ton of water needed session so there's a ton of water needed session so there's a ton of water needed to run these chat Bots and you know cat to run these chat Bots and you know cat to run these chat Bots and you know cat poems and uh that's going yeah that that poems and uh that's going yeah that that poems and uh that's going yeah that that new story about goodye Arizona new story about goodye Arizona new story about goodye Arizona Microsoft's got a data center in there Microsoft's got a data center in there Microsoft's got a data center in there it was a news story recently yeah it was a news story recently yeah it was a news story recently yeah they're just draining all the water from they're just draining all the water from they're just draining all the water from Goodyear Arizona Goodyear Arizona Goodyear Arizona yeah it's about 185,000 gallons is yeah it's about 185,000 gallons is yeah it's about 185,000 gallons is required to for a training of a chat GPT required to for a training of a chat GPT required to for a training of a chat GPT model basically unable 185,000 gallons model basically unable 185,000 gallons model basically unable 185,000 gallons of water this what's my return on of water this what's my return on of water this what's my return on investment so basically data centers and investment so basically data centers and investment so basically data centers and cows are killing us got cows are killing us got cows are killing us got it I'll tell you right now I I'll tell it I'll tell you right now I I'll tell it I'll tell you right now I I'll tell you right now no one's really gotten the you right now no one's really gotten the you right now no one's really gotten the bill yet and when people start getting

  27. bill yet and when people start getting bill yet and when people start getting the bill they're go all right the bill they're go all right the bill they're go all right we gotta cut some of this St stuff off we gotta cut some of this St stuff off we gotta cut some of this St stuff off and figure out it's going to C curtail and figure out it's going to C curtail and figure out it's going to C curtail the use quite a bit I mean you're not the use quite a bit I mean you're not the use quite a bit I mean you're not going to allow use it but you know the going to allow use it but you know the going to allow use it but you know the uh uh business jokes aside and I think uh uh business jokes aside and I think uh uh business jokes aside and I think it was just uh Rob which we do we do it was just uh Rob which we do we do it was just uh Rob which we do we do know you're insane but that's public know you're insane but that's public know you're insane but that's public knowledge so cool but you know once you knowledge so cool but you know once you knowledge so cool but you know once you go back to why and how is California go back to why and how is California go back to why and how is California getting water from the other side of the getting water from the other side of the getting water from the other side of the Rockies and how La was created because Rockies and how La was created because Rockies and how La was created because there was water coming from the you know there was water coming from the you know there was water coming from the you know there's so many pieces of legislation to there's so many pieces of legislation to there's so many pieces of legislation to do anything there that I think our great do anything there that I think our great do anything there that I think our great great grandkids will be watching this great grandkids will be watching this great grandkids will be watching this podcast in 172 years and going like man podcast in 172 years and going like man podcast in 172 years and going like man this is an old this is an old this is an old problem and they'll go oh man our problem and they'll go oh man our problem and they'll go oh man our founding fathers and all those other founding fathers and all those other founding fathers and all those other people that came after were really people that came after were really people that came after were really stupid you wouldn't believe that you stupid you wouldn't believe that you stupid you wouldn't believe that you would believe the deals they made made the desalinization plants because the desalinization plants because the desalinization plants because anything I can do to drop the water anything I can do to drop the water anything I can do to drop the water levels in the ocean so that I have more levels in the ocean so that I have more levels in the ocean so that I have more beach front out there I'm there you go beach front out there I'm there you go beach front out there I'm there you go yes make America Florida take yes make America Florida take yes make America Florida take it actually but wait hold on Steve would it actually but wait hold on Steve would it actually but wait hold on Steve would that work okay so I get it because if that work okay so I get it because if that work okay so I get it because if we're desalinating water that means we're desalinating water that means we're desalinating water that means we're taking water out of the ocean we're taking water out of the ocean we're taking water out of the ocean therefore it's lowering uh levels level

  28. therefore it's lowering uh levels level therefore it's lowering uh levels level check but if we're using that water to check but if we're using that water to check but if we're using that water to drink and bathe and fill the pools at drink and bathe and fill the pools at drink and bathe and fill the pools at some point when it goes through the some point when it goes through the some point when it goes through the water treatment plant it's going back water treatment plant it's going back water treatment plant it's going back out man right oh no no we don't pump out man right oh no no we don't pump out man right oh no no we don't pump that back into the that back into the that back into the water yes let it soak into the ground water yes let it soak into the ground water yes let it soak into the ground well the problem is desalinization plans well the problem is desalinization plans well the problem is desalinization plans are kind of environmental disasters you are kind of environmental disasters you are kind of environmental disasters you know so desalinization is yeah come on know so desalinization is yeah come on know so desalinization is yeah come on we don't do no you know what we need to we don't do no you know what we need to we don't do no you know what we need to do what if we discovered we could pull do what if we discovered we could pull do what if we discovered we could pull lithium out of the salt from the ocean lithium out of the salt from the ocean lithium out of the salt from the ocean when we desel and all of a sudden boom when we desel and all of a sudden boom when we desel and all of a sudden boom baby battery more battery boom that's baby battery more battery boom that's baby battery more battery boom that's for for for sure it's interesting you say that Dave sure it's interesting you say that Dave sure it's interesting you say that Dave because we we have $12 million worth of because we we have $12 million worth of because we we have $12 million worth of new sand being pumped onto the new sand being pumped onto the new sand being pumped onto the beach by truck from a lake bed 25 miles beach by truck from a lake bed 25 miles beach by truck from a lake bed 25 miles away 120 dump trucks a day coming to add away 120 dump trucks a day coming to add away 120 dump trucks a day coming to add sand because the water levels are Rising sand because the water levels are Rising sand because the water levels are Rising so much and we're losing our beach well so much and we're losing our beach well so much and we're losing our beach well probably your lake is drying out too at probably your lake is drying out too at probably your lake is drying out too at the same time so it's probably good to the same time so it's probably good to the same time so it's probably good to catch it thank you for your tax dollars catch it thank you for your tax dollars catch it thank you for your tax dollars because we have $12 million worth the because we have $12 million worth the because we have $12 million worth the sand going up why don't you why don't sand going up why don't you why don't sand going up why don't you why don't you you you move why don't you move yeah L somebody move why don't you move yeah L somebody move why don't you move yeah L somebody needs needs needs to I've worked my ass off to be 300 to I've worked my ass off to be 300 to I've worked my ass off to be 300 steps from the ocean right there okay steps from the ocean right there okay steps from the ocean right there okay I'm not doing it man you need to tell me I'm not doing it man you need to tell me I'm not doing it man you need to tell me that you guys are actually bringing sand that you guys are actually bringing sand that you guys are actually bringing sand to the beach your AI is I got you I got

  29. to the beach your AI is I got you I got to the beach your AI is I got you I got you I know what you're you I know what you're you I know what you're saying I don't why are you confused bill saying I don't why are you confused bill saying I don't why are you confused bill I what is wrong with you um I'm I mean I I what is wrong with you um I'm I mean I I what is wrong with you um I'm I mean I was I just wanted to make sure that I was I just wanted to make sure that I was I just wanted to make sure that I wasn't thinking of that wrong oh my God because I was told never wrong oh my God because I was told never bring sand to the bring sand to the bring sand to the beach never bring sand I love it I love beach never bring sand I love it I love beach never bring sand I love it I love it you know to tie in iot to all this it you know to tie in iot to all this it you know to tie in iot to all this and I'm glad Demetri at least said the and I'm glad Demetri at least said the and I'm glad Demetri at least said the words iot earlier with his time at GE words iot earlier with his time at GE words iot earlier with his time at GE but when we talk about that losing water but when we talk about that losing water but when we talk about that losing water losing electricity all that stuff and we losing electricity all that stuff and we losing electricity all that stuff and we don't know and it's unknown I I always don't know and it's unknown I I always don't know and it's unknown I I always think about some of these quotes I've think about some of these quotes I've think about some of these quotes I've always used and other people have said always used and other people have said always used and other people have said them too just little phrases around iot them too just little phrases around iot them too just little phrases around iot iot makes the hidden visible iot makes iot makes the hidden visible iot makes iot makes the hidden visible iot makes the Unknown Known you know a lot of the Unknown Known you know a lot of the Unknown Known you know a lot of people think don't think as highly of people think don't think as highly of people think don't think as highly of iot as they think of AI and all that iot as they think of AI and all that iot as they think of AI and all that other stuff but it's amazing what it other stuff but it's amazing what it other stuff but it's amazing what it reveals if we want to find out where all reveals if we want to find out where all reveals if we want to find out where all those leaks are exact you need those leaks are exact you need those leaks are exact you need instrumented you need instrumented water instrumented you need instrumented water instrumented you need instrumented water systems I mean we're seeing them around systems I mean we're seeing them around systems I mean we're seeing them around the world there's some incredible the world there's some incredible the world there's some incredible companies out there instrumenting water companies out there instrumenting water companies out there instrumenting water systems and finding leaks and finding systems and finding leaks and finding systems and finding leaks and finding inefficiencies then of course you got to inefficiencies then of course you got to inefficiencies then of course you got to go fix it but at least you know yeah go fix it but at least you know yeah go fix it but at least you know yeah well I mean that to that to that end I well I mean that to that to that end I well I mean that to that to that end I mean I think if we look at the the mean I think if we look at the the mean I think if we look at the the foundation of of that problem um many of foundation of of that problem um many of foundation of of that problem um many of the cities um don't even know where the the cities um don't even know where the the cities um don't even know where the water lines are o

  30. I mean they just don't the I mean I mean they just don't the I mean literally they just don't know like literally they just don't know like literally they just don't know like there's no solid blueprint that says you there's no solid blueprint that says you there's no solid blueprint that says you know and and on top of that you know know and and on top of that you know know and and on top of that you know knowing where the water lines is is one knowing where the water lines is is one knowing where the water lines is is one thing but do you have the right diameter thing but do you have the right diameter thing but do you have the right diameter pipe running for how much water you want pipe running for how much water you want pipe running for how much water you want to pump through there yeah oh yeah to pump through there yeah oh yeah to pump through there yeah oh yeah that's why they need a digital to that's why they need a digital to that's why they need a digital to another the city I mean absolutely yeah another the city I mean absolutely yeah another the city I mean absolutely yeah you're right well but I would say also you're right well but I would say also you're right well but I would say also once you have all the information then once you have all the information then once you have all the information then you need to take action on it that's you need to take action on it that's you need to take action on it that's well that's the thing you you you you well that's the thing you you you you well that's the thing you you you you got to do something who's replacing that got to do something who's replacing that got to do something who's replacing that pipe you know who's paying for that this pipe you know who's paying for that this pipe you know who's paying for that this is this is probably why most of us is this is probably why most of us is this is probably why most of us humans spend our time not getting humans spend our time not getting humans spend our time not getting information or only focusing on one information or only focusing on one information or only focusing on one source of information but you're source of information but you're source of information but you're definitely right Rob the the primary use definitely right Rob the the primary use definitely right Rob the the primary use case is visibility and monitoring for case is visibility and monitoring for case is visibility and monitoring for iot and it's already brings lot of value iot and it's already brings lot of value iot and it's already brings lot of value the problem is we we top all the hype on the problem is we we top all the hype on the problem is we we top all the hype on AI first no you should have the of the AI first no you should have the of the AI first no you should have the of the data and as instrumentation as was data and as instrumentation as was data and as instrumentation as was saying as well so the the blueprint so saying as well so the the blueprint so saying as well so the the blueprint so that this is where the digital thing TN that this is where the digital thing TN that this is where the digital thing TN makes sense maybe maybe that's that's makes sense maybe maybe that's that's makes sense maybe maybe that's that's the important pivot in um mindset that the important pivot in um mindset that the important pivot in um mindset that we have to make here is if you don't we have to make here is if you don't we have to make here is if you don't have iot then your AI stuff can't see have iot then your AI stuff can't see have iot then your AI stuff can't see anyway so um why waste time when anyway so um why waste time when anyway so um why waste time when you don't even have visibility to what you don't even have visibility to what you don't even have visibility to what you want to control manage optimize what you want to control manage optimize what you want to control manage optimize what have you um and then uh Channel people have you um and then uh Channel people have you um and then uh Channel people to focus on some of the critical to focus on some of the critical to focus on some of the critical problems right there AI can't solve it problems right there AI can't solve it problems right there AI can't solve it you have to first be able to see and

  31. you have to first be able to see and you have to first be able to see and well wait a minute I mean if I have to well wait a minute I mean if I have to well wait a minute I mean if I have to solve this stuff with with just the the solve this stuff with with just the the solve this stuff with with just the the foundational pieces if I have to do just foundational pieces if I have to do just foundational pieces if I have to do just actual like Urban engineering that actual like Urban engineering that actual like Urban engineering that shit's not shit's not shit's not fun I don't get to say AI in urban fun I don't get to say AI in urban fun I don't get to say AI in urban engineering yeah you have to do all the engineering yeah you have to do all the engineering yeah you have to do all the urban engineering to get the water and urban engineering to get the water and urban engineering to get the water and power to run the AI That's it's actual power to run the AI That's it's actual power to run the AI That's it's actual hard work and problem solving oh no and hard work and problem solving oh no and hard work and problem solving oh no and you're going to you're going to you're going to bill you were saying that we've we don't bill you were saying that we've we don't bill you were saying that we've we don't have or we've lost you know blueprints have or we've lost you know blueprints have or we've lost you know blueprints of cities where the water lines are is of cities where the water lines are is of cities where the water lines are is it is it a combination of losing or or it is it a combination of losing or or it is it a combination of losing or or when it was built when it was a small when it was built when it was a small when it was built when it was a small town and it was not built to be a big town and it was not built to be a big town and it was not built to be a big city is it also you know we talk about city is it also you know we talk about city is it also you know we talk about in big corporations when we do these in big corporations when we do these in big corporations when we do these Mass layoffs of valued employees and you Mass layoffs of valued employees and you Mass layoffs of valued employees and you lose company memory oh throttle lose company memory oh throttle lose company memory oh throttle knowledge yeah knowledge yeah knowledge yeah yes yeah um people who actually know how yes yeah um people who actually know how yes yeah um people who actually know how you know a lot of people were making you know a lot of people were making you know a lot of people were making memes When AT&T went down in a big way memes When AT&T went down in a big way memes When AT&T went down in a big way was it last week or week before and was it last week or week before and was it last week or week before and there was a lot of memes about oh it was there was a lot of memes about oh it was there was a lot of memes about oh it was all those really smart Engineers that all those really smart Engineers that all those really smart Engineers that they laid off at AT&T who actually know they laid off at AT&T who actually know they laid off at AT&T who actually know how to operate the thing and now you how to operate the thing and now you how to operate the thing and now you have stupid kids who are like I don't have stupid kids who are like I don't have stupid kids who are like I don't know what to do you know I press the know what to do you know I press the know what to do you know I press the button certificate what's a certificate button certificate what's a certificate button certificate what's a certificate do I have to renew it do I have to renew it do I have to renew it they should have never got rid of all they should have never got rid of all they should have never got rid of all those Unix programmers

  32. those Unix programmers those Unix programmers and in the in the the race to cut cost and in the in the the race to cut cost and in the in the the race to cut cost and you know we're going to replace and you know we're going to replace and you know we're going to replace people with AI or replace people by people with AI or replace people by people with AI or replace people by offshoring or whatever you lose quality offshoring or whatever you lose quality offshoring or whatever you lose quality you lose company memory you lose tribal you lose company memory you lose tribal you lose company memory you lose tribal knowledge that's got to keep being knowledge that's got to keep being knowledge that's got to keep being passed on or our whole society could passed on or our whole society could passed on or our whole society could just fall off a cliff one day because no just fall off a cliff one day because no just fall off a cliff one day because no one knows how to do anything AR we ar we one knows how to do anything AR we ar we one knows how to do anything AR we ar we there now that's that's where we're at there now that's that's where we're at there now that's that's where we're at now right start watering you know crops now right start watering you know crops now right start watering you know crops with like freaking electrolytes and with like freaking electrolytes and with like freaking electrolytes and stuff like that I mean yeah we'll be stuff like that I mean yeah we'll be stuff like that I mean yeah we'll be someday we'll be bringing sand to the beach what happens when you when you beach what happens when you when you basically don't give anybody the basically don't give anybody the basically don't give anybody the opportunity to become an expert right opportunity to become an expert right opportunity to become an expert right what do you do I I mean that's that's what do you do I I mean that's that's what do you do I I mean that's that's another serious question how are you another serious question how are you another serious question how are you going to incubate the Next Generation of going to incubate the Next Generation of going to incubate the Next Generation of experts and folks who actually have experts and folks who actually have experts and folks who actually have experience when you experience when you experience when you displace and then over time these large displace and then over time these large displace and then over time these large language models and AI engines become language models and AI engines become language models and AI engines become Antiquated you know and then like what Antiquated you know and then like what Antiquated you know and then like what we talked about before they're going to we talked about before they're going to we talked about before they're going to feed off of their own junk right and feed off of their own junk right and feed off of their own junk right and then what happens more I think like I then what happens more I think like I then what happens more I think like I think I think Dimitri put out I think think I think Dimitri put out I think think I think Dimitri put out I think last time Dimitri was saying like you last time Dimitri was saying like you last time Dimitri was saying like you know AI is not an engine for novel know AI is not an engine for novel know AI is not an engine for novel thinking it is an engine for you know thinking it is an engine for you know thinking it is an engine for you know Reg itating previous thoughts and so you Reg itating previous thoughts and so you Reg itating previous thoughts and so you need the novel thinking and that really need the novel thinking and that really need the novel thinking and that really comes from you know experience and well

  33. comes from you know experience and well comes from you know experience and well but that's why they came up with rag but that's why they came up with rag but that's why they came up with rag right they started you know the rag um right they started you know the rag um right they started you know the rag um rag architecture is for that purpose but rag architecture is for that purpose but rag architecture is for that purpose but even that is incredibly flawed um I mean even that is incredibly flawed um I mean even that is incredibly flawed um I mean you know there's several analysts that you know there's several analysts that you know there's several analysts that were at mwc we we intentionally went out were at mwc we we intentionally went out were at mwc we we intentionally went out to make these things hallucinate and to make these things hallucinate and to make these things hallucinate and they they they did right they did so I mean you know did right they did so I mean you know did right they did so I mean you know what I'm saying as I'll be the first one what I'm saying as I'll be the first one what I'm saying as I'll be the first one to tell you hey I bumped into a AI to tell you hey I bumped into a AI to tell you hey I bumped into a AI thingy migger that actually worked and thingy migger that actually worked and thingy migger that actually worked and no we were able to make these things no we were able to make these things no we were able to make these things catastrophically especially if you put catastrophically especially if you put catastrophically especially if you put use it in an industrial or Enterprise use it in an industrial or Enterprise use it in an industrial or Enterprise context a catastrophic um um you know context a catastrophic um um you know context a catastrophic um um you know fail right well it turns out the rag fail right well it turns out the rag fail right well it turns out the rag concept is good but in front of your concept is good but in front of your concept is good but in front of your face you know what it's based on the face you know what it's based on the face you know what it's based on the premise that your corporate data is good premise that your corporate data is good premise that your corporate data is good and most people know that is pretty and most people know that is pretty and most people know that is pretty pretty gross yeah knowledge based L any pretty gross yeah knowledge based L any pretty gross yeah knowledge based L any industry has good data today no one industry has good data today no one industry has good data today no one right I mean I disagree financial right I mean I disagree financial right I mean I disagree financial services do Health scare do Financial services do Health scare do Financial services do Health scare do Financial Services transactional stuff and I think Services transactional stuff and I think Services transactional stuff and I think there's companies doing a lot of good there's companies doing a lot of good there's companies doing a lot of good stuff with the healthcare data too that stuff with the healthcare data too that stuff with the healthcare data too that that's okay I mean they're focused on that's okay I mean they're focused on that's okay I mean they're focused on the data I'm not talking about Kaiser the data I'm not talking about Kaiser the data I'm not talking about Kaiser Permanente I'm talking about tretta and Permanente I'm talking about tretta and Permanente I'm talking about tretta and other folks that are focus on the data other folks that are focus on the data other folks that are focus on the data yeah Demetri I love what you're like uh yeah Demetri I love what you're like uh yeah Demetri I love what you're like uh camera AI is doing uh with the camera camera AI is doing uh with the camera camera AI is doing uh with the camera angles as you're coughing

  34. angles as you're coughing angles as you're coughing and writhing around but you're you know and writhing around but you're you know and writhing around but you're you know you make a really good point because we you make a really good point because we you make a really good point because we shouldn't generalize data either right shouldn't generalize data either right shouldn't generalize data either right there's transactional data there's like there's transactional data there's like there's transactional data there's like informational there's a whole you know informational there's a whole you know informational there's a whole you know massive numbers of categories of data massive numbers of categories of data massive numbers of categories of data and we shouldn't treat it all equally and we shouldn't treat it all equally and we shouldn't treat it all equally yes transactional data typically for yes transactional data typically for yes transactional data typically for thinking should be very very accurate um thinking should be very very accurate um thinking should be very very accurate um but then better than most yeah there's but then better than most yeah there's but then better than most yeah there's other stuff that's not I mean you know other stuff that's not I mean you know other stuff that's not I mean you know customer account information I mean I customer account information I mean I customer account information I mean I know because I worked in the I did a lot know because I worked in the I did a lot know because I worked in the I did a lot of that Master data stuff for in of that Master data stuff for in of that Master data stuff for in financial services industry I mean they financial services industry I mean they financial services industry I mean they have problems too but in general um yeah have problems too but in general um yeah have problems too but in general um yeah uh most Enterprises can't get a handle uh most Enterprises can't get a handle uh most Enterprises can't get a handle on their data and when it comes to on their data and when it comes to on their data and when it comes to knowledge right that stuff that you knowledge right that stuff that you knowledge right that stuff that you think you're going to be training your think you're going to be training your think you're going to be training your uh you know llm on that tends to be uh you know llm on that tends to be uh you know llm on that tends to be pretty bad yeah dat does not equal pretty bad yeah dat does not equal pretty bad yeah dat does not equal knowledge yeah it's really really tough knowledge yeah it's really really tough knowledge yeah it's really really tough to manage a a corpus knowledge for but to manage a a corpus knowledge for but to manage a a corpus knowledge for but on the other hand if you use those new on the other hand if you use those new on the other hand if you use those new so-called AI technology in the right so-called AI technology in the right so-called AI technology in the right sense there could be more discipline to sense there could be more discipline to sense there could be more discipline to actually persist the data so for example actually persist the data so for example actually persist the data so for example the example you were giving about the the example you were giving about the the example you were giving about the pipes in the city if you're using kind pipes in the city if you're using kind pipes in the city if you're using kind of a c system to you know get you the of a c system to you know get you the of a c system to you know get you the data it will persist because human are data it will persist because human are data it will persist because human are not very good at organizing data and not very good at organizing data and not very good at organizing data and persisting it over time unless you were persisting it over time unless you were persisting it over time unless you were a monk in the you know mid 1500 when a monk in the you know mid 1500 when a monk in the you know mid 1500 when there was no printer where you had only there was no printer where you had only there was no printer where you had only only had that to do so that that could

  35. only had that to do so that that could only had that to do so that that could be a think and and again I think that be a think and and again I think that be a think and and again I think that the the whole the gist of all this the the whole the gist of all this the the whole the gist of all this conversation is that for me at least the conversation is that for me at least the conversation is that for me at least the frustration is the Mystic behind AI so frustration is the Mystic behind AI so frustration is the Mystic behind AI so if we understand what it is how how if we understand what it is how how if we understand what it is how how powerful the tool is and how it is not powerful the tool is and how it is not powerful the tool is and how it is not powerful depending on the use case then powerful depending on the use case then powerful depending on the use case then you can a lot of things but because you can a lot of things but because you can a lot of things but because those things are conversational we see those things are conversational we see those things are conversational we see that they are like human and we imagine that they are like human and we imagine that they are like human and we imagine they are smart and then we're going to they are smart and then we're going to they are smart and then we're going to use them for stupid thing so that's use them for stupid thing so that's use them for stupid thing so that's really the big big big problem this is really the big big big problem this is really the big big big problem this is to me the most dangerous problem with J to me the most dangerous problem with J to me the most dangerous problem with J it's the perception and the engagement it's the perception and the engagement it's the perception and the engagement that you're talking to a thinking person that you're talking to a thinking person that you're talking to a thinking person which freaking is not well I I can so I which freaking is not well I I can so I which freaking is not well I I can so I I'll definitely agree with you on the I'll definitely agree with you on the I'll definitely agree with you on the notion of gen llms and everything like notion of gen llms and everything like notion of gen llms and everything like that but when we're talking about a that but when we're talking about a that but when we're talking about a product that has AI capabilities we're product that has AI capabilities we're product that has AI capabilities we're talking about something different it's talking about something different it's talking about something different it's not it's not your not it's not your not it's not your agreed and to your point it's even more agreed and to your point it's even more agreed and to your point it's even more simplistic in this guy it's glorified simplistic in this guy it's glorified simplistic in this guy it's glorified statistics so I mean it does predictions statistics so I mean it does predictions statistics so I mean it does predictions and classification they do this and classification they do this and classification they do this extremely well because we fed them with extremely well because we fed them with extremely well because we fed them with data but that's what they do AI does data but that's what they do AI does data but that's what they do AI does classification and prediction period classification and prediction period classification and prediction period that part that part I I'll I'll say that part that part I I'll I'll say that part that part I I'll I'll say absolutely I mean there there's a is a a absolutely I mean there there's a is a a absolutely I mean there there's a is a a conflation that is happening around the conflation that is happening around the conflation that is happening around the the conversation of AI you know the the conversation of AI you know the the conversation of AI you know the minute that you say that it's like oh minute that you say that it's like oh minute that you say that it's like oh all AI is bad no no no not at all this all AI is bad no no no not at all this all AI is bad no no no not at all this whole notion that generative Ai and whole notion that generative Ai and whole notion that generative Ai and large language models and the way they large language models and the way they large language models and the way they were built I mean I'm well uh Rob I

  36. were built I mean I'm well uh Rob I were built I mean I'm well uh Rob I commented on on your push of Ma's commented on on your push of Ma's commented on on your push of Ma's statement around you know we should statement around you know we should statement around you know we should nationalize you know this I'm like get nationalize you know this I'm like get nationalize you know this I'm like get the get out of here uh you know in the get out of here uh you know in the get out of here uh you know in contrast to the AI That's used in contrast to the AI That's used in contrast to the AI That's used in digital twins for traffic traffic digital twins for traffic traffic digital twins for traffic traffic monitoring two separate things yeah monitoring two separate things yeah monitoring two separate things yeah separ things deep learning but hey you separ things deep learning but hey you separ things deep learning but hey you know we can't Mark you you haven't said know we can't Mark you you haven't said know we can't Mark you you haven't said a single word so we only have a few a single word so we only have a few a single word so we only have a few minutes left you have to say something minutes left you have to say something minutes left you have to say something it could be anything you can talk crap it could be anything you can talk crap it could be anything you can talk crap whatever no no it was super interesting whatever no no it was super interesting whatever no no it was super interesting I was learning from you guys actually I was learning from you guys actually I was learning from you guys actually one question for bill is uh when you one question for bill is uh when you one question for bill is uh when you mentioned that the cities don't have the mentioned that the cities don't have the mentioned that the cities don't have the the blueprint of the of the cities or the blueprint of the of the cities or the blueprint of the of the cities or the ities is is this you mean in the US the ities is is this you mean in the US the ities is is this you mean in the US or you mean worldwide no I mean it so or you mean worldwide no I mean it so or you mean worldwide no I mean it so here's the thing if you if you go to any here's the thing if you if you go to any here's the thing if you if you go to any City and I I can't say because there's City and I I can't say because there's City and I I can't say because there's only internationally there's only a few only internationally there's only a few only internationally there's only a few other areas that I've actually you know other areas that I've actually you know other areas that I've actually you know talked to them about it um and not all talked to them about it um and not all talked to them about it um and not all cities are the same so there are some cities are the same so there are some cities are the same so there are some cities that actually do know where their cities that actually do know where their cities that actually do know where their pipes run but historically and I and I pipes run but historically and I and I pipes run but historically and I and I mean historically speaking understanding mean historically speaking understanding mean historically speaking understanding not just where the pipes run we're not just where the pipes run we're not just where the pipes run we're talking about from the lift station all talking about from the lift station all talking about from the lift station all the way down to any given point of the way down to any given point of the way down to any given point of service do I know schematically where service do I know schematically where service do I know schematically where all of the no I don't because if I did all of the no I don't because if I did all of the no I don't because if I did then I could you know by way of

  37. then I could you know by way of then I could you know by way of subtraction I could tell you where the subtraction I could tell you where the subtraction I could tell you where the leaks are happening yeah but because leaks are happening yeah but because leaks are happening yeah but because they're not instrumented it's also they're not instrumented it's also they're not instrumented it's also reverse build I don't know where my reverse build I don't know where my reverse build I don't know where my Wastewater or my sewage is going either Wastewater or my sewage is going either Wastewater or my sewage is going either exactly I mean we just had to put in a exactly I mean we just had to put in a exactly I mean we just had to put in a new sewage pump system here in our new sewage pump system here in our new sewage pump system here in our neighborhood people were up in arms neighborhood people were up in arms neighborhood people were up in arms because they was under construction for because they was under construction for because they was under construction for two days and they had no idea what that two days and they had no idea what that two days and they had no idea what that damn thing was and it's been sitting damn thing was and it's been sitting damn thing was and it's been sitting there for 40 there for 40 there for 40 years your shit's going they like what years your shit's going they like what years your shit's going they like what what do you mean I mean just just look what do you mean I mean just just look what do you mean I mean just just look at you probably guys notice every time at you probably guys notice every time at you probably guys notice every time they do some road work somewhere as they they do some road work somewhere as they they do some road work somewhere as they dig a hole and two weeks later they dig dig a hole and two weeks later they dig dig a hole and two weeks later they dig another hole 50 met later further another hole 50 met later further another hole 50 met later further which the freaking blue fix the issues which the freaking blue fix the issues which the freaking blue fix the issues they found in the the first Pole they found in the the first Pole they found in the the first Pole Rob Rob as we go through it one of big Rob Rob as we go through it one of big Rob Rob as we go through it one of big question that I've been getting a lot is question that I've been getting a lot is question that I've been getting a lot is on the predictive maintenance uh side of on the predictive maintenance uh side of on the predictive maintenance uh side of the world on the industrial side how the world on the industrial side how the world on the industrial side how much AI is being used today with much AI is being used today with much AI is being used today with predictive maintenance and predict predictive maintenance and predict predictive maintenance and predict breakage in the industrial detection breakage in the industrial detection breakage in the industrial detection anomaly detection and I go back to the anomaly detection and I go back to the anomaly detection and I go back to the marketing of it right so if you start to marketing of it right so if you start to marketing of it right so if you start to look at the marketing language they're look at the marketing language they're look at the marketing language they're starting to add that in and we know starting to add that in and we know starting to add that in and we know that's that's that's g g g traditionally has been doing a lot g g g traditionally has been doing a lot g g g traditionally has been doing a lot but for years people don't know so I but for years people don't know so I but for years people don't know so I mean it's the is always incremental in mean it's the is always incremental in mean it's the is always incremental in the use cases G does very sophisticated the use cases G does very sophisticated the use cases G does very sophisticated things I may have mentioned that in the things I may have mentioned that in the things I may have mentioned that in the in in this talk but we can actually

  38. in in this talk but we can actually in in this talk but we can actually predict the how much life is left in the predict the how much life is left in the predict the how much life is left in the blades of a compressor which are subject blades of a compressor which are subject blades of a compressor which are subject to very high temperature and the thing to very high temperature and the thing to very high temperature and the thing is because if you fly an airplane in the is because if you fly an airplane in the is because if you fly an airplane in the Middle East where the end is is Sandy Middle East where the end is is Sandy Middle East where the end is is Sandy and hot the blade wears much more and hot the blade wears much more and hot the blade wears much more quickly than if in the North Pacific quickly than if in the North Pacific quickly than if in the North Pacific West so it is integrated into G's West so it is integrated into G's West so it is integrated into G's operation up to the point that if you operation up to the point that if you operation up to the point that if you have an airplane you know you only have have an airplane you know you only have have an airplane you know you only have three months left and by the way you three months left and by the way you three months left and by the way you don't have a bench to service the engine don't have a bench to service the engine don't have a bench to service the engine because the bench are rare in the world because the bench are rare in the world because the bench are rare in the world you can actually rout the plane to the you can actually rout the plane to the you can actually rout the plane to the South North Pacific West for because South North Pacific West for because South North Pacific West for because there you have nine months so it's very there you have nine months so it's very there you have nine months so it's very this kind of prediction of failer is this kind of prediction of failer is this kind of prediction of failer is very same thing for very big gas turbine very same thing for very big gas turbine very same thing for very big gas turbine if you have to do an unpredicted if you have to do an unpredicted if you have to do an unpredicted maintenance stop for a reason then you maintenance stop for a reason then you maintenance stop for a reason then you know you have two months so you can beat know you have two months so you can beat know you have two months so you can beat up the turbine because when you turn it up the turbine because when you turn it up the turbine because when you turn it off you're going to change a lot of off you're going to change a lot of off you're going to change a lot of parts yeah but has parts yeah but has parts yeah but has AI but Demetrius AI but Demetrius AI but Demetrius AI Catalyst for that more detailed AI Catalyst for that more detailed AI Catalyst for that more detailed information yeah yeah well it's a information yeah yeah well it's a information yeah yeah well it's a prediction model that you this engine is prediction model that you this engine is prediction model that you this engine is gonna is going to fail you must stop gonna is going to fail you must stop gonna is going to fail you must stop your your engine and service it so but your your engine and service it so but your your engine and service it so but by AI it's the first category discussing by AI it's the first category discussing by AI it's the first category discussing with Bill which is classification with Bill which is classification with Bill which is classification prediction and it only works because prediction and it only works because prediction and it only works because we've accumulated a lot of data which is we've accumulated a lot of data which is we've accumulated a lot of data which is now possible because of big data and big now possible because of big data and big now possible because of big data and big comput so it's just the it's the basic comput so it's just the it's the basic comput so it's just the it's the basic glorified statistics model so and glorified statistics model so and glorified statistics model so and actually believe that there's a lot of actually believe that there's a lot of actually believe that there's a lot of glorified statistics models that can be glorified statistics models that can be glorified statistics models that can be applied in a lot of use cases if we have applied in a lot of use cases if we have applied in a lot of use cases if we have the data which are AI but fundamentally

  39. the data which are AI but fundamentally the data which are AI but fundamentally is just prediction and and is just prediction and and is just prediction and and classifications it is and to your point classifications it is and to your point classifications it is and to your point Steve and what Demetri saying there are Steve and what Demetri saying there are Steve and what Demetri saying there are pockets of great use of machine learning pockets of great use of machine learning pockets of great use of machine learning to do that stuff but it's certainly not to do that stuff but it's certainly not to do that stuff but it's certainly not widespread we've been talking a good widespread we've been talking a good widespread we've been talking a good game about predi with machine learning game about predi with machine learning game about predi with machine learning for a decade and it's little tiny for a decade and it's little tiny for a decade and it's little tiny pockets it's not widespread at all and pockets it's not widespread at all and pockets it's not widespread at all and then then then Steve standpoint it's everywhere well Steve standpoint it's everywhere well Steve standpoint it's everywhere well from a marketing standpoint it's from a marketing standpoint it's from a marketing standpoint it's everywhere yeah no I'll disagree with everywhere yeah no I'll disagree with everywhere yeah no I'll disagree with that I'll disagree with that it's been that I'll disagree with that it's been that I'll disagree with that it's been hijacked by generative AI when you go to hijacked by generative AI when you go to hijacked by generative AI when you go to mwc and a lot of these conferences when mwc and a lot of these conferences when mwc and a lot of these conferences when they say or even listen to anything on they say or even listen to anything on they say or even listen to anything on Wall Street they say oh AI is a new Wall Street they say oh AI is a new Wall Street they say oh AI is a new thing it's like no you're talking about thing it's like no you're talking about thing it's like no you're talking about G ative Ai and they hijacked the term G ative Ai and they hijacked the term G ative Ai and they hijacked the term yes think about it like that it's not yes think about it like that it's not yes think about it like that it's not the other way around and generative AI the other way around and generative AI the other way around and generative AI is yeah narrow AI for your is yeah narrow AI for your is yeah narrow AI for your particular use case in your machine is particular use case in your machine is particular use case in your machine is real yeah exactly and by the way one real yeah exactly and by the way one real yeah exactly and by the way one other thing we learn at G is that you other thing we learn at G is that you other thing we learn at G is that you have to actually have to actually have to actually have places where you have a lot of have places where you have a lot of have places where you have a lot of failure I mean try to do some failure I mean try to do some failure I mean try to do some predictions on predictions on predictions on Rolex good luck with that they don't f Rolex good luck with that they don't f Rolex good luck with that they don't f and actually all this is one of the and actually all this is one of the and actually all this is one of the problem we have with gines they don't problem we have with gines they don't problem we have with gines they don't fail that fail that fail that much can detect anomalies that happens much can detect anomalies that happens much can detect anomalies that happens on you once no you don't have the data on you once no you don't have the data on you once no you don't have the data exactly right and then that's the exactly right and then that's the exactly right and then that's the problem with a lot of what people are problem with a lot of what people are problem with a lot of what people are talking about in terms of personalized

  40. talking about in terms of personalized talking about in terms of personalized uh personalization of generative AI is uh personalization of generative AI is uh personalization of generative AI is are you going to have patience for this are you going to have patience for this are you going to have patience for this thing to take months to learn anything thing to take months to learn anything thing to take months to learn anything valuable about you to drive meaningful valuable about you to drive meaningful valuable about you to drive meaningful personalization and when I ask that personalization and when I ask that personalization and when I ask that question people go question people go question people go uh and that that pretty much says uh and that that pretty much says uh and that that pretty much says everything so anyway and and waiting for everything so anyway and and waiting for everything so anyway and and waiting for that day does it pop up on your screen that day does it pop up on your screen that day does it pop up on your screen it says oh today's the day I've learned it says oh today's the day I've learned it says oh today's the day I've learned everything no everything no everything no right well once it gets the Pearl Harbor right well once it gets the Pearl Harbor right well once it gets the Pearl Harbor movies right then we'll be that was movies right then we'll be that was movies right then we'll be that was great man oh hilarious all right who great man oh hilarious all right who great man oh hilarious all right who wants to take us wants to take us wants to take us out out out okay I'm here you know what if I'm here okay I'm here you know what if I'm here okay I'm here you know what if I'm here like you shouldn't asked that question like folks it is that time when the like folks it is that time when the podcast has come to an end and if you podcast has come to an end and if you podcast has come to an end and if you are here with us we thank you for your are here with us we thank you for your are here with us we thank you for your attention and we're going to remind you attention and we're going to remind you attention and we're going to remind you a few things number one do not make a few things number one do not make a few things number one do not make financial decisions with financial decisions with financial decisions with your future based on anything you hear your future based on anything you hear your future based on anything you hear here you don't do that bu Bitcoin none here you don't do that bu Bitcoin none here you don't do that bu Bitcoin none of that number two subscribe tell your of that number two subscribe tell your of that number two subscribe tell your friends tell your cousins tell your friends tell your cousins tell your friends tell your cousins tell your neighbors tell everyone iot coffe neighbors tell everyone iot coffe neighbors tell everyone iot coffe talk.com remember that we support a very talk.com remember that we support a very talk.com remember that we support a very special cost for underserved kids that special cost for underserved kids that special cost for underserved kids that have no internet access and we're trying have no internet access and we're trying have no internet access and we're trying to help with the with the internet to help with the with the internet to help with the with the internet divide so elevat our kids.org check it

  41. divide so elevat our kids.org check it divide so elevat our kids.org check it out buy a hoodie and support this cuz out buy a hoodie and support this cuz out buy a hoodie and support this cuz you're getting free information and as I you're getting free information and as I you're getting free information and as I look at today's count folks we're at 30% look at today's count folks we're at 30% look at today's count folks we're at 30% of the global population listening in we of the global population listening in we of the global population listening in we are blowing up like Nvidia we are just are blowing up like Nvidia we are just are blowing up like Nvidia we are just completely blowing out of the water so completely blowing out of the water so completely blowing out of the water so thank you for listening and remember thank you for listening and remember thank you for listening and remember there's Big Data there's analytics there's Big Data there's analytics there's Big Data there's analytics there's simple statistics and gen that's there's simple statistics and gen that's there's simple statistics and gen that's something different you heard it here something different you heard it here something different you heard it here first stay safe peace out all [Music] [Music] right

Summary

The main theme is a disclaimer about investment advice given on a tech podcast, acknowledging the increased interest from investors in the current tech market, particularly in major tech stocks. The takeaway is to approach any investment suggestions with caution and skepticism, as past predictions are not guarantees of future performance, and even AI tools like ChatGPT can provide nonsensical recommendations.

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