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iOT Coffee Talk May 31, 2023 58m

IoT Coffee Talk: Webcast: Episode 158 - The Generative Productivity Lift

Read full transcript 38 segments
  1. thank you thank you and not one person started dancing and not one person started dancing and not one person started dancing I was dancing on the inside oh my brain I was dancing on the inside oh my brain I was dancing on the inside oh my brain I don't know that song yeah Rolling Stones too right yeah Rolling Stones too right I should have played something else I should have played something else I should have played something else how's you guys doing how's you guys doing how's you guys doing how are you doing how are you doing how are you doing I'm okay yeah a little uh I'm okay yeah a little uh I'm okay yeah a little uh you know got this Crystal going on you know got this Crystal going on you know got this Crystal going on yeah we're all working on the facial yeah we're all working on the facial yeah we're all working on the facial hair settling into not traveling so I I hair settling into not traveling so I I hair settling into not traveling so I I look beastly nice for another couple of look beastly nice for another couple of look beastly nice for another couple of days yeah but um yeah I think I'm gonna days yeah but um yeah I think I'm gonna days yeah but um yeah I think I'm gonna start traveling next week so oh we're start traveling next week so oh we're start traveling next week so oh we're too too too uh Orlando uh for a honeywell's uh Orlando uh for a honeywell's uh Orlando uh for a honeywell's um uh hug building conference so that's um uh hug building conference so that's um uh hug building conference so that's a Honeywell User Group which is a really a Honeywell User Group which is a really a Honeywell User Group which is a really great yeah hug which is a really I want great yeah hug which is a really I want great yeah hug which is a really I want last year it was great last year it was great last year it was great um you learn a lot about what um you learn a lot about what um you learn a lot about what honeywell's doing honeywell's doing honeywell's doing um especially this year to advance Forge um especially this year to advance Forge um especially this year to advance Forge they have some new offerings this year they have some new offerings this year they have some new offerings this year and then um you get to talk to the and then um you get to talk to the and then um you get to talk to the customers which is really cool right and customers which is really cool right and customers which is really cool right and you know over lunch s tough questions you know over lunch s tough questions you know over lunch s tough questions when is that then they look at you and when is that then they look at you and when is that then they look at you and going so what do you do was like oh yeah

  2. going so what do you do was like oh yeah going so what do you do was like oh yeah I'm an industry analyst I go oh okay I'm an industry analyst I go oh okay I'm an industry analyst I go oh okay um what do they do um what do they do um what do they do I'm that guy on the other side of the I'm that guy on the other side of the I'm that guy on the other side of the conversation yeah so um in Orlando yeah it's in yeah so um in Orlando yeah it's in Orlando see what comes in town uh fourth Orlando see what comes in town uh fourth Orlando see what comes in town uh fourth to the sixth I think to the sixth I think to the sixth I think July or June this month yeah June groovy great I just built so what's up groovy great I just built so what's up guys guys guys um welcome welcome everyone to iot um welcome welcome everyone to iot um welcome welcome everyone to iot Coffee Talk Coffee Talk Coffee Talk yeah I've seen you in a long time yeah I've seen you in a long time yeah I've seen you in a long time hey what's up hey what's up hey what's up hey xiaomi mute hey xiaomi mute hey xiaomi mute she can't hear us she can't hear us she can't hear us can you hear me yes can you hear me yes can you hear me yes absolutely yeah I realized something absolutely yeah I realized something absolutely yeah I realized something we're like the only talk show we're like the only talk show we're like the only talk show uh Tech talk show just talk show on the uh Tech talk show just talk show on the uh Tech talk show just talk show on the interwebs interwebs interwebs um where we we don't wear makeup um where we we don't wear makeup um where we we don't wear makeup I'm saying uh I do this took me 45 I'm saying uh I do this took me 45 I'm saying uh I do this took me 45 minutes later 45 minutes yeah you did a really good job with that yeah you did a really good job with that what is that that uh that uh goatee what is that that uh that uh goatee what is that that uh that uh goatee thing that you got going on there yeah thing that you got going on there yeah thing that you got going on there yeah yeah we're lucky we come in an adult yeah we're lucky we come in an adult yeah we're lucky we come in an adult yeah I was looking at we don't wear yeah I was looking at we don't wear yeah I was looking at we don't wear makeup huh how do you know that we don't

  3. makeup huh how do you know that we don't makeup huh how do you know that we don't wear makeup yeah very exactly Andrea wear makeup yeah very exactly Andrea wear makeup yeah very exactly Andrea exactly this is the funny thing I exactly this is the funny thing I exactly this is the funny thing I watched some early episodes and uh watched some early episodes and uh watched some early episodes and uh Stephanie would come on all you know Stephanie would come on all you know Stephanie would come on all you know sort of made up and then over time you sort of made up and then over time you sort of made up and then over time you you see her get much more relaxed about you see her get much more relaxed about you see her get much more relaxed about stuff and stuff and stuff and um um um yeah you keep avoiding answering my question how do you know answering my question how do you know that we don't wear makeup uh that we don't wear makeup uh that we don't wear makeup uh um and it analyzes your face and it says and it analyzes your face and it says makeup no makeup make it just puts a big makeup no makeup make it just puts a big makeup no makeup make it just puts a big text box over the face I think right so text box over the face I think right so text box over the face I think right so I'm I'm not made up I'm I'm not made up I'm I'm not made up no you're not no you're not no you're not you're real none of us can make me yeah the ladies I think natural make me yeah the ladies I think natural beauty is that what it is yeah beauty is that what it is yeah beauty is that what it is yeah we're about the real deal we're about the real deal we're about the real deal observation you know I mean because yeah I never wear any white makeup of any I never wear any white makeup of any kind so right and I I think you know I kind so right and I I think you know I kind so right and I I think you know I think it's refreshing for for folks I think it's refreshing for for folks I think it's refreshing for for folks I think you know I mean think you know I mean think you know I mean um you know everyone now is using AI to um you know everyone now is using AI to um you know everyone now is using AI to make themselves look fuzzier and doing

  4. make themselves look fuzzier and doing make themselves look fuzzier and doing all kinds of crazy stuff you know so all kinds of crazy stuff you know so all kinds of crazy stuff you know so um yeah here's my AI generator profile um yeah here's my AI generator profile um yeah here's my AI generator profile picture I see that quite a bit on week picture I see that quite a bit on week picture I see that quite a bit on week 10. yeah 10. yeah 10. yeah around AI Rob OT who would win AI Rob or Rob AI Rob OT who would win AI Rob or Rob my name is data my name is Commander I'm my name is data my name is Commander I'm my name is data my name is Commander I'm commander data we need one one of that kind of episodes we need one one of that kind of episodes come under data against versus yeah I've come under data against versus yeah I've come under data against versus yeah I've always said personally you know because always said personally you know because always said personally you know because you know how we know lots of people are you know how we know lots of people are you know how we know lots of people are fast and loose with their talk about fast and loose with their talk about fast and loose with their talk about artificial general intelligence yeah artificial general intelligence yeah artificial general intelligence yeah lately and in my yardstick is we're not lately and in my yardstick is we're not lately and in my yardstick is we're not to AGI until we truly have created and to AGI until we truly have created and to AGI until we truly have created and have commander data working exactly as have commander data working exactly as have commander data working exactly as he does on Star Trek he does on Star Trek he does on Star Trek when we have that then I'll believe it when we have that then I'll believe it when we have that then I'll believe it okay yeah you know but it is fun to see okay yeah you know but it is fun to see okay yeah you know but it is fun to see so Ridiculousness that I saw last night so Ridiculousness that I saw last night so Ridiculousness that I saw last night I know we've posted some funny pictures I know we've posted some funny pictures I know we've posted some funny pictures I've seen uh people post on Reddit you I've seen uh people post on Reddit you I've seen uh people post on Reddit you know they're using mid Journey with know they're using mid Journey with know they're using mid Journey with celebrities and all kinds of weird stuff celebrities and all kinds of weird stuff celebrities and all kinds of weird stuff and so yeah I saw last night some and so yeah I saw last night some and so yeah I saw last night some celebrity pics of like if um

  5. celebrity pics of like if um celebrity pics of like if um let me hang on I'm going to show them to let me hang on I'm going to show them to let me hang on I'm going to show them to you actually because I you know I can't you actually because I you know I can't you actually because I you know I can't help myself help myself help myself um um um so you know what if you know so you know what if you know so you know what if you know you got Taylor Swift you got Taylor Swift you got Taylor Swift in our in our Dream boy boat Dreamboat in our in our Dream boy boat Dreamboat in our in our Dream boy boat Dreamboat boy from One Direction got together and boy from One Direction got together and boy from One Direction got together and had a family you know or you know had a family you know or you know had a family you know or you know it's Emma Thompson and Andrew Garfield it's Emma Thompson and Andrew Garfield it's Emma Thompson and Andrew Garfield got married and had a family you're just got married and had a family you're just got married and had a family you're just an AI and celebrity families though is an AI and celebrity families though is an AI and celebrity families though is that what is that where we're at this is that what is that where we're at this is that what is that where we're at this is like Selena Gomez and Justin Bieber had like Selena Gomez and Justin Bieber had like Selena Gomez and Justin Bieber had a family oh a family oh a family oh so Steve did the same thing no so Steve did the same thing no so Steve did the same thing no extremely that's definitely interesting extremely that's definitely interesting extremely that's definitely interesting this is all going to improve our this is all going to improve our this is all going to improve our productivity productivity productivity hey yeah we're gonna hit the next stage hey yeah we're gonna hit the next stage hey yeah we're gonna hit the next stage in our global economy here with that oh in our global economy here with that oh in our global economy here with that oh yeah hi hi my abstract for my next yeah hi hi my abstract for my next yeah hi hi my abstract for my next speaking event on AI it just it felt speaking event on AI it just it felt speaking event on AI it just it felt very you know on point I thought it was very you know on point I thought it was very you know on point I thought it was great Ryan do you like the title keep great Ryan do you like the title keep great Ryan do you like the title keep your head out of the clouds is is the your head out of the clouds is is the your head out of the clouds is is the title of the time really yeah I like title of the time really yeah I like title of the time really yeah I like that AI data acquisition normalization that AI data acquisition normalization that AI data acquisition normalization yeah yeah yeah out of the clouds yeah everyone's always out of the clouds yeah everyone's always out of the clouds yeah everyone's always talking mqtt OPC UA all these high-level talking mqtt OPC UA all these high-level talking mqtt OPC UA all these high-level architecture stuff architecture stuff architecture stuff and then they walk into a factory floor

  6. and then they walk into a factory floor and then they walk into a factory floor and they go oh my gosh how do I plug and they go oh my gosh how do I plug and they go oh my gosh how do I plug into this PLC it's it's older than my into this PLC it's it's older than my into this PLC it's it's older than my kid kid kid and so I just like hating on people and so I just like hating on people and so I just like hating on people because every time you hear a because every time you hear a because every time you hear a presentation they're all like high level presentation they're all like high level presentation they're all like high level architecture I'm like no no no no start architecture I'm like no no no no start architecture I'm like no no no no start at the bottom yeah you're telling them at the bottom yeah you're telling them at the bottom yeah you're telling them to rip and replace up and and upgrade to rip and replace up and and upgrade to rip and replace up and and upgrade every PLC in their Factory no this is every PLC in their Factory no this is every PLC in their Factory no this is horrible that's that's weird you've been horrible that's that's weird you've been horrible that's that's weird you've been hanging out with us too long I know so hanging out with us too long I know so hanging out with us too long I know so in two weeks I'll be in NYC talking in two weeks I'll be in NYC talking in two weeks I'll be in NYC talking about that oh wow I like hearing Ryan about that oh wow I like hearing Ryan about that oh wow I like hearing Ryan say this yeah I mean drop some knowledge say this yeah I mean drop some knowledge say this yeah I mean drop some knowledge on people and make it real for them you on people and make it real for them you on people and make it real for them you know yeah I find it comical the rise the know yeah I find it comical the rise the know yeah I find it comical the rise the recent rise of lots of people talking recent rise of lots of people talking recent rise of lots of people talking about mqtt and their hive and whatever about mqtt and their hive and whatever about mqtt and their hive and whatever it's like it's some new big thing I was it's like it's some new big thing I was it's like it's some new big thing I was like when we got this show going in like when we got this show going in like when we got this show going in Earnest you know over a decade ago Earnest you know over a decade ago Earnest you know over a decade ago that's when we were talking about that that's when we were talking about that that's when we were talking about that stuff and then we've already finished stuff and then we've already finished stuff and then we've already finished talking about it and then the last few talking about it and then the last few talking about it and then the last few years a bunch of Johnny come latlies years a bunch of Johnny come latlies years a bunch of Johnny come latlies have showed up and now they're talking have showed up and now they're talking have showed up and now they're talking about it like they just stumbled upon it about it like they just stumbled upon it about it like they just stumbled upon it yeah yeah that's true yeah we've moved on a long time ago actually we've moved on a long time ago actually yeah and so it's mind-boggling to me to yeah and so it's mind-boggling to me to yeah and so it's mind-boggling to me to hear people having these active hear people having these active hear people having these active conversations on Twitter and Linkedin conversations on Twitter and Linkedin conversations on Twitter and Linkedin and everywhere and everywhere and everywhere yeah everyone wants and qtt spark plug B yeah everyone wants and qtt spark plug B yeah everyone wants and qtt spark plug B now ever once like all these different

  7. now ever once like all these different now ever once like all these different flavors you know and I'm just like okay flavors you know and I'm just like okay flavors you know and I'm just like okay but how are you getting it to that point but how are you getting it to that point but how are you getting it to that point right like yeah that's always bothering right like yeah that's always bothering right like yeah that's always bothering me yeah you can upgrade to uh the latest me yeah you can upgrade to uh the latest me yeah you can upgrade to uh the latest controller and re-engineer and have that controller and re-engineer and have that controller and re-engineer and have that built in probably but and what did we built in probably but and what did we built in probably but and what did we see when a whole bunch of kids start see when a whole bunch of kids start see when a whole bunch of kids start building their middleware and iot building their middleware and iot building their middleware and iot platforms over a decade ago and they platforms over a decade ago and they platforms over a decade ago and they went all these companies and they said went all these companies and they said went all these companies and they said yeah we're in the Raspberry Pi slash iot yeah we're in the Raspberry Pi slash iot yeah we're in the Raspberry Pi slash iot business and I'm gonna need you to rip business and I'm gonna need you to rip business and I'm gonna need you to rip out all your modern your old stuff and out all your modern your old stuff and out all your modern your old stuff and put in this new stuff uh and then we can put in this new stuff uh and then we can put in this new stuff uh and then we can do business together and what do those do business together and what do those do business together and what do those people say to those youngsters with people say to those youngsters with people say to those youngsters with their over 600 platforms they said get their over 600 platforms they said get their over 600 platforms they said get the hell out of my office the hell out of my office the hell out of my office no outside internet access ever get out no outside internet access ever get out no outside internet access ever get out of my factory oh geez I will not open my of my factory oh geez I will not open my of my factory oh geez I will not open my firewall yeah but yeah you can put on firewall yeah but yeah you can put on firewall yeah but yeah you can put on anything now right on premise so it's anything now right on premise so it's anything now right on premise so it's you can create a data center on the you can create a data center on the you can create a data center on the factory is that's easy factory is that's easy factory is that's easy came into my factory and he goes I got came into my factory and he goes I got came into my factory and he goes I got this things.io deal and there's billions this things.io deal and there's billions this things.io deal and there's billions of devices connected as of yesterday and of devices connected as of yesterday and of devices connected as of yesterday and you've got to ride the wave with me and you've got to ride the wave with me and you've got to ride the wave with me and some people realize everyone's on it some people realize everyone's on it some people realize everyone's on it let's go let's go let's go I want to show these I want to show these I want to show these um um um I'm improving more and more of my oh you

  8. I'm improving more and more of my oh you I'm improving more and more of my oh you got some plc's on there is that a got some plc's on there is that a got some plc's on there is that a Siemens I have uh I have a seat Studio Siemens I have uh I have a seat Studio Siemens I have uh I have a seat Studio Edge box that are by 200 so this runs on Edge box that are by 200 so this runs on Edge box that are by 200 so this runs on a compute module four sorry for the mass a compute module four sorry for the mass a compute module four sorry for the mass of the cables you have a power adapter of the cables you have a power adapter of the cables you have a power adapter the Arduino PLC OCTA oh those are the Arduino PLC OCTA oh those are the Arduino PLC OCTA oh those are Hardware temperature and humidity sensor and I temperature and humidity sensor and I have here uh this is like ten dollars have here uh this is like ten dollars have here uh this is like ten dollars and it's like a more professional seat and it's like a more professional seat and it's like a more professional seat Studio temperature and humidity Studio temperature and humidity Studio temperature and humidity connected to the connected to the connected to the the Phoenix connector of the the studio the Phoenix connector of the the studio the Phoenix connector of the the studio so I think uh going back of what you so I think uh going back of what you so I think uh going back of what you mentioned Ryan I think it every time mentioned Ryan I think it every time mentioned Ryan I think it every time it's easier and easier to get this data it's easier and easier to get this data it's easier and easier to get this data from Legacy machines maybe I'm a bit from Legacy machines maybe I'm a bit from Legacy machines maybe I'm a bit naive still on on this ecosystem but I naive still on on this ecosystem but I naive still on on this ecosystem but I see more and more tools that reduce the see more and more tools that reduce the see more and more tools that reduce the friction to friction to friction to to enable companies to get these uh data to enable companies to get these uh data to enable companies to get these uh data and put it on a spark plugin packages and put it on a spark plugin packages and put it on a spark plugin packages enjoy yeah click and ship it I think enjoy yeah click and ship it I think enjoy yeah click and ship it I think it's like the OT side is driving some of it's like the OT side is driving some of it's like the OT side is driving some of this stuff so they just don't know about this stuff so they just don't know about this stuff so they just don't know about these Solutions you're right I mean these Solutions you're right I mean these Solutions you're right I mean they're available they're getting easier they're available they're getting easier they're available they're getting easier every day but they're too busy trying to every day but they're too busy trying to every day but they're too busy trying to keep the manufacturing line up and keep the manufacturing line up and keep the manufacturing line up and running and fixing stuff as it breaks running and fixing stuff as it breaks running and fixing stuff as it breaks yeah yeah in a high stress environment yeah yeah in a high stress environment yeah yeah in a high stress environment to where they're like oh I don't want to to where they're like oh I don't want to to where they're like oh I don't want to buy this thing off like buy this thing off like buy this thing off like um like uh automation.com or something um like uh automation.com or something um like uh automation.com or something you know and have like this uh Gateway you know and have like this uh Gateway you know and have like this uh Gateway Arduino and then they don't have their Arduino and then they don't have their Arduino and then they don't have their local electrical distributor support local electrical distributor support local electrical distributor support holding their hand when that controller

  9. holding their hand when that controller holding their hand when that controller fails yeah so it's yeah there's a lot fails yeah so it's yeah there's a lot fails yeah so it's yeah there's a lot it's a lot easier but they're just not it's a lot easier but they're just not it's a lot easier but they're just not looking where like where the solutions looking where like where the solutions looking where like where the solutions are I guess there's that yeah I'll show are I guess there's that yeah I'll show are I guess there's that yeah I'll show you how to uh funny uh the uh you how to uh funny uh the uh you how to uh funny uh the uh conversation some days ago with with a conversation some days ago with with a conversation some days ago with with a friend who was telling me that a PLC friend who was telling me that a PLC friend who was telling me that a PLC it's a piece of Hardware that needs to it's a piece of Hardware that needs to it's a piece of Hardware that needs to be there up and running uh when we will be there up and running uh when we will be there up and running uh when we will be dead so so it's an interesting be dead so so it's an interesting be dead so so it's an interesting definition right so this is what they definition right so this is what they definition right so this is what they want on on the industry right yeah but want on on the industry right yeah but want on on the industry right yeah but Mark I have a question really creepy Mark I have a question really creepy Mark I have a question really creepy I have a question for you man why all I have a question for you man why all I have a question for you man why all the wires no first yeah I don't know why the Wi-Fi no first yeah I don't know why the Wi-Fi credentials say uh I don't know why credentials say uh I don't know why credentials say uh I don't know why don't work so I need the ethernet cable don't work so I need the ethernet cable don't work so I need the ethernet cable okay this is uh but this is recommended okay this is uh but this is recommended okay this is uh but this is recommended by my friend Rob Tiffany to have a by my friend Rob Tiffany to have a by my friend Rob Tiffany to have a Netherland cable always available for Netherland cable always available for Netherland cable always available for industrial sheet and then yeah of course industrial sheet and then yeah of course industrial sheet and then yeah of course you need cables for electricity right or you need cables for electricity right or you need cables for electricity right or or you have an invention an innovation or you have an invention an innovation or you have an invention an innovation on wireless electricity on wireless electricity on wireless electricity power tends to be a big deal but hey power tends to be a big deal but hey power tends to be a big deal but hey Andrea we haven't seen you in so long Andrea we haven't seen you in so long Andrea we haven't seen you in so long where have you been I know and I missed where have you been I know and I missed where have you been I know and I missed all the cool um episodes all the cool um episodes all the cool um episodes the episode where you and Stephanie were

  10. the episode where you and Stephanie were the episode where you and Stephanie were some event last week some event last week some event last week and meanwhile I was in boring and meanwhile I was in boring and meanwhile I was in boring Manhattan New York City oh terrible so Manhattan New York City oh terrible so Manhattan New York City oh terrible so boring boring yeah just a wall boring boring yeah just a wall boring boring yeah just a wall was that a conference a healthcare was that a conference a healthcare was that a conference a healthcare conference another conference conference another conference conference another conference um is it was a monthly get together with um is it was a monthly get together with um is it was a monthly get together with um organized by hitlab his lab is I um organized by hitlab his lab is I um organized by hitlab his lab is I don't know if you know it's an don't know if you know it's an don't know if you know it's an accelerator we all know get lab we're accelerator we all know get lab we're accelerator we all know get lab we're developed developed developed oh forget it it's his cousin like Tim oh forget it it's his cousin like Tim oh forget it it's his cousin like Tim loves cousin digital health and it's uh digital health and it's uh um It's associated with Columbia um It's associated with Columbia um It's associated with Columbia University Business School the digital University Business School the digital University Business School the digital Health folks and they have programs Health folks and they have programs Health folks and they have programs where they they got applicants where they they got applicants where they they got applicants applying all the time you know for a applying all the time you know for a applying all the time you know for a variety of variety of variety of activities and and they they got one now activities and and they they got one now activities and and they they got one now so I'm I'm waiting for my turn to be a so I'm I'm waiting for my turn to be a so I'm I'm waiting for my turn to be a judge in one of their startup judge in one of their startup judge in one of their startup competitions but this was um mostly they competitions but this was um mostly they competitions but this was um mostly they they do a monthly get together face to they do a monthly get together face to they do a monthly get together face to face and I never went because I'm always face and I never went because I'm always face and I never went because I'm always somewhere else or or I have the flu or I somewhere else or or I have the flu or I somewhere else or or I have the flu or I got covered or I got something I can't got covered or I got something I can't got covered or I got something I can't travel travel travel so this time I thought oh it's May in

  11. so this time I thought oh it's May in so this time I thought oh it's May in New York City and I'm well so I'm going New York City and I'm well so I'm going New York City and I'm well so I'm going and the the get-together normally is in and the the get-together normally is in and the the get-together normally is in in some fancy in some fancy in some fancy uh Rooftop Bar in SoHo but this time it uh Rooftop Bar in SoHo but this time it uh Rooftop Bar in SoHo but this time it was at the facility of Silicon Valley was at the facility of Silicon Valley was at the facility of Silicon Valley Bank on parking really yeah they had a Bank on parking really yeah they had a Bank on parking really yeah they had a recent vacancy I guess so we we weren't recent vacancy I guess so we we weren't recent vacancy I guess so we we weren't there no no they're up and running and there no no they're up and running and there no no they're up and running and oh really well you know they got the new oh really well you know they got the new oh really well you know they got the new owner and owner and owner and and so they they hosted and then they and so they they hosted and then they and so they they hosted and then they invited um they had a cool idea for invited um they had a cool idea for invited um they had a cool idea for normally it's a mixer right so it's normally it's a mixer right so it's normally it's a mixer right so it's networking and stuff like that but this networking and stuff like that but this networking and stuff like that but this time they had a an attorney who works time they had a an attorney who works time they had a an attorney who works with Healthcare startups with Healthcare startups with Healthcare startups so Healthcare life sciences and he came so Healthcare life sciences and he came so Healthcare life sciences and he came we had a fireside chat with him and the we had a fireside chat with him and the we had a fireside chat with him and the the key topic was the the cap table the key topic was the the cap table the key topic was the the cap table and you know how to navigate all that so and you know how to navigate all that so and you know how to navigate all that so I thought it was pretty cool I thought it was pretty cool I thought it was pretty cool wow table that's where I was awesome awesome five that's where I was awesome awesome five and I missed you know this was uh Europe and I missed you know this was uh Europe and I missed you know this was uh Europe the episode was on Wednesday Wednesday I the episode was on Wednesday Wednesday I the episode was on Wednesday Wednesday I was traveling that's why I couldn't join was traveling that's why I couldn't join was traveling that's why I couldn't join oh no playing yeah from your Gulf Stream oh no playing yeah from your Gulf Stream oh no playing yeah from your Gulf Stream private site yeah yeah you know and then private site yeah yeah you know and then private site yeah yeah you know and then and then uh since I'm on the subject

  12. and then uh since I'm on the subject and then uh since I'm on the subject um so the event was Thursday night and um so the event was Thursday night and um so the event was Thursday night and then Thursday at noon that was a three then Thursday at noon that was a three then Thursday at noon that was a three hour so they have a monthly Symposium hour so they have a monthly Symposium hour so they have a monthly Symposium hitlab organizes a monthly Symposium on hitlab organizes a monthly Symposium on hitlab organizes a monthly Symposium on variety of topics and this one was variety of topics and this one was variety of topics and this one was women's health and mental health and women's health and mental health and women's health and mental health and they have not only they have not only they have not only um startups but you know established um startups but you know established um startups but you know established companies as well coming and talking so companies as well coming and talking so companies as well coming and talking so this one was was really really cool so this one was was really really cool so this one was was really really cool so because there was a lot of talk about because there was a lot of talk about because there was a lot of talk about hey women's health is not just hey women's health is not just hey women's health is not just reproductive Health people forget when reproductive Health people forget when reproductive Health people forget when people hear about women's health they people hear about women's health they people hear about women's health they think oh yeah it's that you know it's think oh yeah it's that you know it's think oh yeah it's that you know it's reproductive as babies that's it wow reproductive as babies that's it wow reproductive as babies that's it wow there's a lot more in that technology there's a lot more in that technology there's a lot more in that technology can help can help can help yeah hey you asked so that's cool yeah yeah hey you asked so that's cool yeah yeah hey you asked so that's cool yeah we did but yeah by the way related with we did but yeah by the way related with we did but yeah by the way related with health or maybe not woman Health but I health or maybe not woman Health but I health or maybe not woman Health but I read about this week about the blueprint read about this week about the blueprint read about this week about the blueprint project did you write about that project did you write about that project did you write about that um um um there is these uh super rich guy who there is these uh super rich guy who there is these uh super rich guy who invests 2 million per year on his own invests 2 million per year on his own invests 2 million per year on his own body and he tests a lot of things on his body and he tests a lot of things on his body and he tests a lot of things on his own body and he's creating like uh he's own body and he's creating like uh he's own body and he's creating like uh he's sharing everything on his blog really he sharing everything on his blog really he sharing everything on his blog really he just reduced his age and yeah his aging just reduced his age and yeah his aging just reduced his age and yeah his aging less than less than less than uh no then 365 days per day year uh no then 365 days per day year uh no then 365 days per day year um yeah well super crazy where the um yeah well super crazy where the um yeah well super crazy where the technology and technology and technology and yeah and and health will go yeah and and health will go yeah and and health will go next so this isn't that whole thing

  13. next so this isn't that whole thing next so this isn't that whole thing about super rich people clone um looking about super rich people clone um looking about super rich people clone um looking to clone themselves no it's not to clone to clone themselves no it's not to clone to clone themselves no it's not to clone themselves to live forever I mean themselves to live forever I mean themselves to live forever I mean actually it's it's weird I've I've been actually it's it's weird I've I've been actually it's it's weird I've I've been seeing I I'll have to admit I haven't seeing I I'll have to admit I haven't seeing I I'll have to admit I haven't read them seeing articles about cloning read them seeing articles about cloning read them seeing articles about cloning which is I don't know it's just getting which is I don't know it's just getting which is I don't know it's just getting crazy right with uh Chris you know it's crazy right with uh Chris you know it's crazy right with uh Chris you know it's it was it crisper we don't even talk it was it crisper we don't even talk it was it crisper we don't even talk about crispr all that much anymore but about crispr all that much anymore but about crispr all that much anymore but imagine combining that with like all imagine combining that with like all imagine combining that with like all these other uh information AI tools that these other uh information AI tools that these other uh information AI tools that are available now are available now are available now you know you know you know um you know Nvidia always talks about um you know Nvidia always talks about um you know Nvidia always talks about how they're how they're how they're um a drug research companies using it uh um a drug research companies using it uh um a drug research companies using it uh AI or gen AI for uh for uh drug AI or gen AI for uh for uh drug AI or gen AI for uh for uh drug Discovery uh and uh imagine now what Discovery uh and uh imagine now what Discovery uh and uh imagine now what people will start to Tinker with people will start to Tinker with people will start to Tinker with um on the genetic side of things maybe um on the genetic side of things maybe um on the genetic side of things maybe they'll they'll try to use that they'll they'll try to use that they'll they'll try to use that technology to clone themselves and then technology to clone themselves and then technology to clone themselves and then create a psychic blueprint and then create a psychic blueprint and then create a psychic blueprint and then download it to that clone or some crazy download it to that clone or some crazy download it to that clone or some crazy crap like that you know what crap like that you know what crap like that you know what um let's build it let's build it I'm in um let's build it let's build it I'm in um let's build it let's build it I'm in no let's get into serious topics what do no let's get into serious topics what do no let's get into serious topics what do you think about Nvidia you think about Nvidia you think about Nvidia that was serious man we live in sci-fi that was serious man we live in sci-fi that was serious man we live in sci-fi now

  14. yeah yeah Mark you asked the question what do we Mark you asked the question what do we Mark you asked the question what do we think of Nvidia think of Nvidia think of Nvidia and did any does it did anybody hold and did any does it did anybody hold and did any does it did anybody hold Nvidia before they shot up you know 10 Nvidia before they shot up you know 10 Nvidia before they shot up you know 10 million percent last week million percent last week million percent last week and the answer was yes I did and I saw and the answer was yes I did and I saw and the answer was yes I did and I saw it and you didn't share it with any it and you didn't share it with any it and you didn't share it with any other games other games other games yeah I had some games yeah yeah I mean yeah I had some games yeah yeah I mean yeah I had some games yeah yeah I mean you know it's pretty obvious that you know it's pretty obvious that you know it's pretty obvious that Microsoft's all in all the deals and Microsoft's all in all the deals and Microsoft's all in all the deals and collaborations that they announced I collaborations that they announced I collaborations that they announced I mean they're already mean they're already mean they're already they already made sales of chips to they already made sales of chips to they already made sales of chips to expand I mean uh Microsoft needs expand I mean uh Microsoft needs expand I mean uh Microsoft needs something to I just you know what I mean something to I just you know what I mean something to I just you know what I mean they're Infinity is the only they're Infinity is the only they're Infinity is the only town town town s when it comes to gpus yeah they have a s when it comes to gpus yeah they have a s when it comes to gpus yeah they have a virtual monopoly on that Hardware okay virtual monopoly on that Hardware okay virtual monopoly on that Hardware okay but Rob there's got to be who's number but Rob there's got to be who's number but Rob there's got to be who's number two and three because this is the two and three because this is the two and three because this is the conversation I had with this analyst the conversation I had with this analyst the conversation I had with this analyst the other day who's two and three other day who's two and three other day who's two and three AMD might be number two because they I AMD might be number two because they I AMD might be number two because they I mean anybody who made graphics cards you mean anybody who made graphics cards you mean anybody who made graphics cards you know for video games and so uh what was know for video games and so uh what was know for video games and so uh what was the company that AMD acquired radio yeah the company that AMD acquired radio yeah the company that AMD acquired radio yeah yeah yeah ATI ATA yeah yeah yeah ATI ATA yeah yeah yeah ATI ATA yeah and so uh they're number two yeah Intel and so uh they're number two yeah Intel and so uh they're number two yeah Intel has tried so far and failed you know has tried so far and failed you know has tried so far and failed you know they introduced a graphics card last they introduced a graphics card last they introduced a graphics card last year and it sucks will they get better year and it sucks will they get better year and it sucks will they get better sure it'll get better sure it'll get better sure it'll get better but uh but you know they got a lot of

  15. but uh but you know they got a lot of but uh but you know they got a lot of catching up too but that means for a catching up too but that means for a catching up too but that means for a quite big period of time into the future quite big period of time into the future quite big period of time into the future you know Nvidia is going to be sitting you know Nvidia is going to be sitting you know Nvidia is going to be sitting there by itself now there by itself now there by itself now their p e ratio is insanity you know and their p e ratio is insanity you know and their p e ratio is insanity you know and it makes no sense it's not sustainable it makes no sense it's not sustainable it makes no sense it's not sustainable but people are piling all their money but people are piling all their money but people are piling all their money into it because right now they're the into it because right now they're the into it because right now they're the only game in town only game in town only game in town you know I mean I've ever just like as you know I mean I've ever just like as you know I mean I've ever just like as soon as the whole you know opening I soon as the whole you know opening I soon as the whole you know opening I think got hot with the chat gbt you know think got hot with the chat gbt you know think got hot with the chat gbt you know Sam Altman's like well yeah we had to Sam Altman's like well yeah we had to Sam Altman's like well yeah we had to buy 10 000 Nvidia gpus to train our buy 10 000 Nvidia gpus to train our buy 10 000 Nvidia gpus to train our models models models and it's like huh and it's like huh and it's like huh yeah yeah yeah and then everybody that's not a and then everybody that's not a and then everybody that's not a forward-looking statement yeah you forward-looking statement yeah you forward-looking statement yeah you remember up here remember up here remember up here um don't take us seriously um don't take us seriously um don't take us seriously at all at all at all investment recommendation yeah no right investment recommendation yeah no right investment recommendation yeah no right yeah this is all for just yeah this is all for just yeah this is all for just um we're trying to be entertaining as um we're trying to be entertaining as um we're trying to be entertaining as possible possible possible yeah but for entertainment purposes only yeah but for entertainment purposes only yeah but for entertainment purposes only um but yeah I mean um but yeah I mean um but yeah I mean um in terms of tooling that they're um in terms of tooling that they're um in terms of tooling that they're they're they're they're there you know they're they're they're there you know they're they're they're there you know Jensen always talks about the the whole Jensen always talks about the the whole Jensen always talks about the the whole stack thing stack thing stack thing um yeah they have the system that I mean um yeah they have the system that I mean um yeah they have the system that I mean they have the data center system for all they have the data center system for all they have the data center system for all this stuff especially on the model this stuff especially on the model this stuff especially on the model training side of things training side of things training side of things um inference is a different story I mean

  16. um inference is a different story I mean um inference is a different story I mean yeah obviously they they have a presence yeah obviously they they have a presence yeah obviously they they have a presence in inference in inference in inference um in the data center as well it's just um in the data center as well it's just um in the data center as well it's just how you know how how's the Gen AI stuff how you know how how's the Gen AI stuff how you know how how's the Gen AI stuff really gonna play out is all going to be really gonna play out is all going to be really gonna play out is all going to be data center hyperscale Centric data center hyperscale Centric data center hyperscale Centric um we'll um Nvidia be able to get um we'll um Nvidia be able to get um we'll um Nvidia be able to get companies to use their AI as a service companies to use their AI as a service companies to use their AI as a service you know they're providing sort of a you know they're providing sort of a you know they're providing sort of a past SAS type of uh it's more of a pass past SAS type of uh it's more of a pass past SAS type of uh it's more of a pass service which I think they call AI as a service which I think they call AI as a service which I think they call AI as a service service service um anyways they announced that um anyways they announced that um anyways they announced that um but how much of that stuff is going um but how much of that stuff is going um but how much of that stuff is going to happen in the in the cloud versus to happen in the in the cloud versus to happen in the in the cloud versus being distributed you know being distributed you know being distributed you know um doesn't have to care they make the um doesn't have to care they make the um doesn't have to care they make the hardware that everybody has to have hardware that everybody has to have hardware that everybody has to have whether they do it on-prem in the cloud whether they do it on-prem in the cloud whether they do it on-prem in the cloud you know you know you know at the bottom of the sea whatever yeah at the bottom of the sea whatever yeah at the bottom of the sea whatever yeah yeah make a difference they make the yeah make a difference they make the yeah make a difference they make the hardware that people have to have hardware that people have to have hardware that people have to have at least for the foreseeable right well at least for the foreseeable right well at least for the foreseeable right well you know there's other Hardware you can you know there's other Hardware you can you know there's other Hardware you can run the stuff on it's just the tooling run the stuff on it's just the tooling run the stuff on it's just the tooling isn't as readily available and isn't as readily available and isn't as readily available and integrated and optimized as it is on integrated and optimized as it is on integrated and optimized as it is on Nvidia so Nvidia so Nvidia so um you know um you know um you know I mean I mean I mean so yeah I mean but you're right for the so yeah I mean but you're right for the so yeah I mean but you're right for the definitely for the data center it's just definitely for the data center it's just definitely for the data center it's just which is where gen AI is at the moment which is where gen AI is at the moment which is where gen AI is at the moment um and um and um and um

  17. yeah just training any model the only yeah just training any model the only way it happens quickly is with Nvidia way it happens quickly is with Nvidia way it happens quickly is with Nvidia gpus yeah yeah wherever it is yeah yeah gpus yeah yeah wherever it is yeah yeah gpus yeah yeah wherever it is yeah yeah yeah that's so fun you know who knows yeah that's so fun you know who knows yeah that's so fun you know who knows how high that Stock's gonna go how high that Stock's gonna go how high that Stock's gonna go you know I think Pete Brunner is going you know I think Pete Brunner is going you know I think Pete Brunner is going to give us a forward-looking connection just a statement just a statement yeah just a statement just a statement yeah they've been going on for a long time they've been going on for a long time they've been going on for a long time now now now as far as their leadership most I mean as far as their leadership most I mean as far as their leadership most I mean this is pretty mind-boggling actually this is pretty mind-boggling actually this is pretty mind-boggling actually not that's all this time not that's all this time not that's all this time so when does when did The Regulators get so when does when did The Regulators get so when does when did The Regulators get involved with Nvidia for what they're involved with Nvidia for what they're involved with Nvidia for what they're doing I don't know there's nothing wrong doing I don't know there's nothing wrong doing I don't know there's nothing wrong with being hyper competitive do you know with being hyper competitive do you know with being hyper competitive do you know what I'm saying and they are they may what I'm saying and they are they may what I'm saying and they are they may they make great moves they make great moves they make great moves um the right bets and um the right bets and um the right bets and um but well the the question is is what um but well the the question is is what um but well the the question is is what is the Gen AI opportunity truly right right and what phase are we in and I'll right and what phase are we in and I'll you know like I've said before uh this you know like I've said before uh this you know like I've said before uh this the buyers that I talk to especially on the buyers that I talk to especially on the buyers that I talk to especially on the Enterprise side those are the people the Enterprise side those are the people the Enterprise side those are the people who are going to be spending the big who are going to be spending the big who are going to be spending the big money right they are they are being much money right they are they are being much money right they are they are being much more cautious than I think folks are more cautious than I think folks are more cautious than I think folks are being led to believe being led to believe being led to believe um they're very super um they're very super um they're very super um concerned about confidentiality um concerned about confidentiality um concerned about confidentiality um um um data ownership sovereignty all that

  18. data ownership sovereignty all that data ownership sovereignty all that stuff so that's why you're seeing the stuff so that's why you're seeing the stuff so that's why you're seeing the regulatory stuff kick in but more regulatory stuff kick in but more regulatory stuff kick in but more importantly you know as their POC and importantly you know as their POC and importantly you know as their POC and they've been you know they tell me they've been you know they tell me they've been you know they tell me they've been pocing this stuff for a they've been pocing this stuff for a they've been pocing this stuff for a long time because you know Microsoft has long time because you know Microsoft has long time because you know Microsoft has really been pushing the stuff on them really been pushing the stuff on them really been pushing the stuff on them for quite some time as well as some of for quite some time as well as some of for quite some time as well as some of their partner vendors so it's not like their partner vendors so it's not like their partner vendors so it's not like these guys haven't been you know messing these guys haven't been you know messing these guys haven't been you know messing with this stuff they have and but with this stuff they have and but with this stuff they have and but they're you know they're not they're not they're you know they're not they're not they're you know they're not they're not the ones going around necessarily saying the ones going around necessarily saying the ones going around necessarily saying this stuff is Magic they're saying well this stuff is Magic they're saying well this stuff is Magic they're saying well you know it's good for certain things it you know it's good for certain things it you know it's good for certain things it looks like it could be useful for this looks like it could be useful for this looks like it could be useful for this but we would never plug this into but we would never plug this into but we would never plug this into anything anything anything um really important you know and that um really important you know and that um really important you know and that that sort of like the seems to be the that sort of like the seems to be the that sort of like the seems to be the consensus consensus consensus um of let's say the uh conscientious CIO um of let's say the uh conscientious CIO um of let's say the uh conscientious CIO and CTO and CTO and CTO so we'll see so we'll see so we'll see not really important what is what does not really important what is what does not really important what is what does that mean are they are they looking at that mean are they are they looking at that mean are they are they looking at use cases and saying this is not use cases and saying this is not use cases and saying this is not critical enough to use it and sell it as critical enough to use it and sell it as critical enough to use it and sell it as part of my service no they're thinking part of my service no they're thinking part of my service no they're thinking it more of this is a critical system and it more of this is a critical system and it more of this is a critical system and process and this is not reliable enough process and this is not reliable enough process and this is not reliable enough or we don't know about it enough or we don't know about it enough or we don't know about it enough um to trust that it will um to trust that it will um to trust that it will um application where this thing will application where this thing will consistently better than people or just consistently better than people or just consistently better than people or just you know regular little you know

  19. you know regular little you know you know regular little you know scripting can solve and automate right scripting can solve and automate right scripting can solve and automate right and then there's all these other Realms and then there's all these other Realms and then there's all these other Realms of AI of AI of AI that you can look at to bring that you can look at to bring that you can look at to bring optimization and intelligent automation optimization and intelligent automation optimization and intelligent automation you don't need to have gen AI to do that you don't need to have gen AI to do that you don't need to have gen AI to do that stuff right so it boils down to well stuff right so it boils down to well stuff right so it boils down to well what's net new what's actually valuable what's net new what's actually valuable what's net new what's actually valuable and what is going to bring about a and what is going to bring about a and what is going to bring about a return on investment on that project return on investment on that project return on investment on that project because what a lot of people don't talk because what a lot of people don't talk because what a lot of people don't talk about is how expensive this stuff is I about is how expensive this stuff is I about is how expensive this stuff is I mean like a one h100 server Nvidia h100 mean like a one h100 server Nvidia h100 mean like a one h100 server Nvidia h100 server it is a quarter million dollars server it is a quarter million dollars server it is a quarter million dollars right right right right right right right right right and that's why when you look at the and that's why when you look at the and that's why when you look at the pricing coming from app from Microsoft pricing coming from app from Microsoft pricing coming from app from Microsoft and some of the other Cloud you know and some of the other Cloud you know and some of the other Cloud you know hyperscaler pricing hyperscaler pricing hyperscaler pricing you know how do you put that into your you know how do you put that into your you know how do you put that into your overall budget or yeah well yeah and for overall budget or yeah well yeah and for overall budget or yeah well yeah and for what and for whatever value right and what and for whatever value right and what and for whatever value right and and the thing that to to consider here and the thing that to to consider here and the thing that to to consider here is that you know and I I posted this on is that you know and I I posted this on is that you know and I I posted this on LinkedIn a calculator is much more LinkedIn a calculator is much more LinkedIn a calculator is much more efficient in doing Simple arithmetic efficient in doing Simple arithmetic efficient in doing Simple arithmetic then chat uh like a Chachi PT or any then chat uh like a Chachi PT or any then chat uh like a Chachi PT or any large language model large language model large language model right right right um um um so you know just like you wouldn't ask a so you know just like you wouldn't ask a so you know just like you wouldn't ask a calculator or use a calculator to spit calculator or use a calculator to spit calculator or use a calculator to spit out some draft uh let's say article

  20. out some draft uh let's say article out some draft uh let's say article you're not going to ask these large you're not going to ask these large you're not going to ask these large language models to do a lot of stuff language models to do a lot of stuff language models to do a lot of stuff because it just doesn't make economic because it just doesn't make economic because it just doesn't make economic sense I mean you know I've heard sense I mean you know I've heard sense I mean you know I've heard um the the the cost of a search okay on um the the the cost of a search okay on um the the the cost of a search okay on chat GPT is a at least 100 times more chat GPT is a at least 100 times more chat GPT is a at least 100 times more than uh you know a search engine than uh you know a search engine than uh you know a search engine you know what I'm saying so you know what I'm saying so you know what I'm saying so the economics are going to play out this the economics are going to play out this the economics are going to play out this is what a lot of the Enterprises are is what a lot of the Enterprises are is what a lot of the Enterprises are doing right now so does that does that doing right now so does that does that doing right now so does that does that mean that the price of the search needs mean that the price of the search needs mean that the price of the search needs to come down or what does that mean to come down or what does that mean to come down or what does that mean it'll it'll have to so you will have to it'll it'll have to so you will have to it'll it'll have to so you will have to right but right but the questions do you right but right but the questions do you right but right but the questions do you speed up do you speed that up somehow speed up do you speed that up somehow speed up do you speed that up somehow how do you speed that up I don't I don't how do you speed that up I don't I don't how do you speed that up I don't I don't think you really can I mean that's more think you really can I mean that's more think you really can I mean that's more small right yes exactly not so Moore's small right yes exactly not so Moore's small right yes exactly not so Moore's Law and then but what you have to do is Law and then but what you have to do is Law and then but what you have to do is you have to figure out what are those you have to figure out what are those you have to figure out what are those applications that are really really applications that are really really applications that are really really valuable that justify and then what you valuable that justify and then what you valuable that justify and then what you end up finding is that this is what end up finding is that this is what end up finding is that this is what everyone thinks is going to be valuable everyone thinks is going to be valuable everyone thinks is going to be valuable for and this is what it's actually for and this is what it's actually for and this is what it's actually valuable for you know but then on the valuable for you know but then on the valuable for you know but then on the other front other front other front um you have chat GPT which is it's um you have chat GPT which is it's um you have chat GPT which is it's it's out there uh and it has a different it's out there uh and it has a different it's out there uh and it has a different issue right the thing the thing is issue right the thing the thing is issue right the thing the thing is there's not enough case studies out there's not enough case studies out there's not enough case studies out there to show that the ROI is valuable there to show that the ROI is valuable there to show that the ROI is valuable and not based on those case study you and not based on those case study you and not based on those case study you know what you're using it for from an

  21. know what you're using it for from an know what you're using it for from an Enterprise level Enterprise level Enterprise level you mentioned the Leonard you mentioned you mentioned the Leonard you mentioned you mentioned the Leonard you mentioned the drug Discovery right so that's where the drug Discovery right so that's where the drug Discovery right so that's where Nvidia is Big yeah and well got things Nvidia is Big yeah and well got things Nvidia is Big yeah and well got things going but it takes time going but it takes time going but it takes time here's the thing yeah exactly and here's here's the thing yeah exactly and here's here's the thing yeah exactly and here's the thing I'm always cautious about the thing I'm always cautious about the thing I'm always cautious about press releases press releases press releases we have a partnership or an mou or yeah we have a partnership or an mou or yeah we have a partnership or an mou or yeah you know we talk to these guys and they you know we talk to these guys and they you know we talk to these guys and they agreed that they're going to do agreed that they're going to do agreed that they're going to do something with us yeah I want to know something with us yeah I want to know something with us yeah I want to know the result you know don't yeah we'll the result you know don't yeah we'll the result you know don't yeah we'll talk about you know it's just like just talk about you know it's just like just talk about you know it's just like just you know I want a use case that I that you know I want a use case that I that you know I want a use case that I that shows the practicality of it show me shows the practicality of it show me shows the practicality of it show me what you've done what it's produced and what you've done what it's produced and what you've done what it's produced and why a customer bought it and then how why a customer bought it and then how why a customer bought it and then how much do they cost much do they cost much do they cost investment Roi calculation over time investment Roi calculation over time investment Roi calculation over time here's the problem here's our Solution here's the problem here's our Solution here's the problem here's our Solution that's why anything more that's why anything more that's why anything more hey Rob I got a question for you so as hey Rob I got a question for you so as hey Rob I got a question for you so as you know that I'm in that PPI Center you know that I'm in that PPI Center you know that I'm in that PPI Center that NSF Foundation thing with the that NSF Foundation thing with the that NSF Foundation thing with the college students and some of them have college students and some of them have college students and some of them have asked asked asked where what degree is most useful going where what degree is most useful going where what degree is most useful going forward forward forward for AI is it being a data scientist is for AI is it being a data scientist is for AI is it being a data scientist is it being what where what degree do you it being what where what degree do you it being what where what degree do you think over the next think over the next think over the next several years will be important to be several years will be important to be several years will be important to be involved in that in that industry the

  22. involved in that in that industry the involved in that in that industry the the generic answer is math but it'll be the generic answer is math but it'll be the generic answer is math but it'll be specific math or maths specific math or maths specific math or maths um like you know to be a data scientist um like you know to be a data scientist um like you know to be a data scientist before everything else got hyped before everything else got hyped before everything else got hyped typically you can only say you're a true typically you can only say you're a true typically you can only say you're a true data scientist if you're a PhD stats data scientist if you're a PhD stats data scientist if you're a PhD stats yeah you know yeah you know yeah you know um and so a lot of that is still real um and so a lot of that is still real um and so a lot of that is still real but yeah it's math it's not computer but yeah it's math it's not computer but yeah it's math it's not computer science it's not science it's not science it's not yeah I think in my experience Steve yeah I think in my experience Steve yeah I think in my experience Steve working on AI projects working on AI projects working on AI projects there's very few people that have an AI there's very few people that have an AI there's very few people that have an AI specific focus is their primary job and specific focus is their primary job and specific focus is their primary job and there's more people in a different there's more people in a different there's more people in a different department or vertical responsibility department or vertical responsibility department or vertical responsibility working with a small group of working with a small group of working with a small group of individuals so they still have the individuals so they still have the individuals so they still have the option if they want to be a option if they want to be a option if they want to be a manufacturing engineer and then also manufacturing engineer and then also manufacturing engineer and then also learn about Ai and their broad strokes learn about Ai and their broad strokes learn about Ai and their broad strokes use cases right a high level and and use cases right a high level and and use cases right a high level and and kind of keep that in mind so I think kind of keep that in mind so I think kind of keep that in mind so I think they can either come in as the they can either come in as the they can either come in as the specialist deploying the model's coding specialist deploying the model's coding specialist deploying the model's coding or come on the business use case side or come on the business use case side or come on the business use case side application site as well and then coming application site as well and then coming application site as well and then coming from there well there's been so much from there well there's been so much from there well there's been so much Ryan of this bundling of AI and ML and Ryan of this bundling of AI and ML and Ryan of this bundling of AI and ML and data science all this thing and so these data science all this thing and so these data science all this thing and so these students are sitting there going oh well students are sitting there going oh well students are sitting there going oh well you know plus plus hype what Rob said you know plus plus hype what Rob said you know plus plus hype what Rob said plus a ton of high plus a ton of high plus a ton of high data engineer or data scientist oh okay data engineer or data scientist oh okay data engineer or data scientist oh okay what's the difference right we know the what's the difference right we know the what's the difference right we know the difference but there's a lot of hype

  23. difference but there's a lot of hype difference but there's a lot of hype there right yeah but data science is not there right yeah but data science is not there right yeah but data science is not hype anymore is that Ops hype anymore is that Ops hype anymore is that Ops but they should oh yeah you're right the but they should oh yeah you're right the but they should oh yeah you're right the data scientist it was a hype of two data scientist it was a hype of two data scientist it was a hype of two years ago right oh it's prompt engineer years ago right oh it's prompt engineer years ago right oh it's prompt engineer it's prompt engineer now I think that's it's prompt engineer now I think that's it's prompt engineer now I think that's a new uh eight million dollar uh job a new uh eight million dollar uh job a new uh eight million dollar uh job description description description if someone's hiring a prompt engineer I if someone's hiring a prompt engineer I if someone's hiring a prompt engineer I can tap type questions in the chat GPT can tap type questions in the chat GPT can tap type questions in the chat GPT all that yeah good to see you again all that yeah good to see you again all that yeah good to see you again great day great day great day hey guys hello hey guys hello hey guys hello Andrea you said the right thing people Andrea you said the right thing people Andrea you said the right thing people can't forget in the midst of the hype can't forget in the midst of the hype can't forget in the midst of the hype does the data engineering or basically does the data engineering or basically does the data engineering or basically the cleaning of the data visiting Fields the cleaning of the data visiting Fields the cleaning of the data visiting Fields all that stuff all that stuff all that stuff because it's still you know input output because it's still you know input output because it's still you know input output right you know and if you don't have right you know and if you don't have right you know and if you don't have good data then you're not going to get good data then you're not going to get good data then you're not going to get good predictions good predictions good predictions you know to go back to Steve's point you know to go back to Steve's point you know to go back to Steve's point right about what right about what right about what degree and all that let's think about degree and all that let's think about degree and all that let's think about also also also um about how much money people make and um about how much money people make and um about how much money people make and I you know when you hear scientists got I you know when you hear scientists got I you know when you hear scientists got this far out of this far out of this far out of something fabulous about it right something fabulous about it right something fabulous about it right engineer does not and you look at the starting salaries and you look at the starting salaries out of college for you know data out of college for you know data out of college for you know data scientists so we've got to be one and scientists so we've got to be one and scientists so we've got to be one and you're going to make 120 000 starting you're going to make 120 000 starting you're going to make 120 000 starting salary and so all those people over the salary and so all those people over the salary and so all those people over the last several years in engineering have

  24. last several years in engineering have last several years in engineering have moved over to that area so exactly why moved over to that area so exactly why moved over to that area so exactly why these students are asking me going okay these students are asking me going okay these students are asking me going okay if I throw AI into my degree if I throw AI into my degree if I throw AI into my degree you know will I be a wanted person yeah sorry fabulous point that you bring up sorry fabulous point that you bring up because I was talking to my son this because I was talking to my son this because I was talking to my son this morning about that and he's uh Rising morning about that and he's uh Rising morning about that and he's uh Rising Junior in electrical engineering that's Junior in electrical engineering that's Junior in electrical engineering that's exactly what we're talking about and exactly what we're talking about and exactly what we're talking about and he's he's telling me that okay I just he's he's telling me that okay I just he's he's telling me that okay I just want to be a hardware engineer I don't want to be a hardware engineer I don't want to be a hardware engineer I don't want to be I don't want to be an eye want to be I don't want to be an eye want to be I don't want to be an eye engineer or an eye scientist or what engineer or an eye scientist or what engineer or an eye scientist or what have you I'm like okay you gotta think have you I'm like okay you gotta think have you I'm like okay you gotta think more about Max okay well he goes I can I more about Max okay well he goes I can I more about Max okay well he goes I can I can be a I can be a power engineer I can can be a I can be a power engineer I can can be a I can be a power engineer I can be a nuclear engineer without being an be a nuclear engineer without being an be a nuclear engineer without being an expert in that I'm like okay we need to expert in that I'm like okay we need to expert in that I'm like okay we need to talk more about this well I mean wouldn't you know could AI well I mean wouldn't you know could AI eliminate Hardware engineers eliminate Hardware engineers eliminate Hardware engineers that that's a tough one and that that's a tough one and that that's a tough one and um it can help them sort of right I mean um it can help them sort of right I mean um it can help them sort of right I mean they're already using AI to I mean when they're already using AI to I mean when they're already using AI to I mean when I was at thing works you know the the I was at thing works you know the the I was at thing works you know the the PTC guys will tell you yeah well we've PTC guys will tell you yeah well we've PTC guys will tell you yeah well we've been we've been doing generative design been we've been doing generative design been we've been doing generative design for a long time so I I think a lot of for a long time so I I think a lot of for a long time so I I think a lot of this is it's a tool.net new for a lot of this is it's a tool.net new for a lot of this is it's a tool.net new for a lot of Industries it's just it's to the general Industries it's just it's to the general Industries it's just it's to the general public and

  25. public and public and it's all of a sudden but it's like in it's all of a sudden but it's like in it's all of a sudden but it's like in medicine right it's been a lot of hype medicine right it's been a lot of hype medicine right it's been a lot of hype about AI is going to eliminate about AI is going to eliminate about AI is going to eliminate Radiologists which is absolutely not Radiologists which is absolutely not Radiologists which is absolutely not happy there's no way it could happen happy there's no way it could happen happy there's no way it could happen it's the same to your point Steve about it's the same to your point Steve about it's the same to your point Steve about uh Illuminating Hardware engineers and uh Illuminating Hardware engineers and uh Illuminating Hardware engineers and you know my husband is a pretty you know my husband is a pretty you know my husband is a pretty brilliant Hardware engineering some of brilliant Hardware engineering some of brilliant Hardware engineering some of the things he does at work the things he does at work the things he does at work um you know no human being around him um you know no human being around him um you know no human being around him can replicate or even okay venture to can replicate or even okay venture to can replicate or even okay venture to say contribute greatly say contribute greatly say contribute greatly um AI doesn't even come close yeah right um AI doesn't even come close yeah right um AI doesn't even come close yeah right well you know yeah and you you bring it well you know yeah and you you bring it well you know yeah and you you bring it up you've brought this up a couple of up you've brought this up a couple of up you've brought this up a couple of times you know the important uh the times you know the important uh the times you know the important uh the thing that the a lot of the AI thing that the a lot of the AI thing that the a lot of the AI applications Jenna AI applications don't applications Jenna AI applications don't applications Jenna AI applications don't have is a understanding of the context have is a understanding of the context have is a understanding of the context of the problem or the problem itself of the problem or the problem itself of the problem or the problem itself that's why it's important to have people that's why it's important to have people that's why it's important to have people domain experts using the tool to get domain experts using the tool to get domain experts using the tool to get valuable outputs out of it and so the valuable outputs out of it and so the valuable outputs out of it and so the whole exercise of you know designing a whole exercise of you know designing a whole exercise of you know designing a prompt to extract the output desired prompt to extract the output desired prompt to extract the output desired output that I mean you know you need to output that I mean you know you need to output that I mean you know you need to have an expert do that right and have an expert do that right and have an expert do that right and um and um and um and basically uh filling in the blanks and basically uh filling in the blanks and basically uh filling in the blanks and uh and um you know preparing the inputs uh and um you know preparing the inputs uh and um you know preparing the inputs that they're going to put into the that they're going to put into the that they're going to put into the activities

  26. it's going to put something together it's going to put something together from all that stuff and and maybe put from all that stuff and and maybe put from all that stuff and and maybe put two things together that actually two things together that actually two things together that actually matches so so for example like if you matches so so for example like if you matches so so for example like if you have a a output from a generative AI have a a output from a generative AI have a a output from a generative AI that quotes a person saying something that quotes a person saying something that quotes a person saying something it's probably wrong wow that person it's probably wrong wow that person it's probably wrong wow that person probably never said that look at this probably never said that look at this probably never said that look at this guy it's just I mean it's it's just guy it's just I mean it's it's just guy it's just I mean it's it's just after this what comes after right so so after this what comes after right so so after this what comes after right so so so it makes stuff up of what it has oh so it makes stuff up of what it has oh so it makes stuff up of what it has oh my God it's also very very good at my God it's also very very good at my God it's also very very good at finding patterns and and structures so finding patterns and and structures so finding patterns and and structures so for example like for example like for example like easy disconnect easy disconnect easy disconnect I could see generative AI be able to I could see generative AI be able to I could see generative AI be able to maybe be a good tool in creating a new maybe be a good tool in creating a new maybe be a good tool in creating a new basic design based on there there's a basic design based on there there's a basic design based on there there's a structure there's a format and based on structure there's a format and based on structure there's a format and based on what what if I think it's not looking at what what if I think it's not looking at what what if I think it's not looking at all kinds of different designs to see all kinds of different designs to see all kinds of different designs to see how things are put together it might be how things are put together it might be how things are put together it might be actually a good tool for that whereas actually a good tool for that whereas actually a good tool for that whereas General is Hardware design is much more General is Hardware design is much more General is Hardware design is much more than just an easy way so all kinds of than just an easy way so all kinds of than just an easy way so all kinds of stuff that's going to be a little bit stuff that's going to be a little bit stuff that's going to be a little bit interesting to see AI there but that's interesting to see AI there but that's interesting to see AI there but that's it very good at if you have some content it very good at if you have some content it very good at if you have some content say put this in that format it does a say put this in that format it does a say put this in that format it does a very good good job on that like 10 TBT I very good good job on that like 10 TBT I very good good job on that like 10 TBT I mean I can take uh um all kinds of mean I can take uh um all kinds of mean I can take uh um all kinds of information say put it in an ISO darker information say put it in an ISO darker information say put it in an ISO darker format or put it in uh a canvas uh your format or put it in uh a canvas uh your format or put it in uh a canvas uh your product management job on canvas or product management job on canvas or product management job on canvas or whatever does a very good job of that whatever does a very good job of that whatever does a very good job of that right and the same I can see with other right and the same I can see with other right and the same I can see with other things as well but if if you know

  27. things as well but if if you know things as well but if if you know pulling information that you didn't give pulling information that you didn't give pulling information that you didn't give it it it be cautious you've got then you've got be cautious you've got then you've got be cautious you've got then you've got to be the expert to evaluate deaf to be the expert to evaluate deaf to be the expert to evaluate deaf content and say yes that's what I would content and say yes that's what I would content and say yes that's what I would stand by and behind if I was going to stand by and behind if I was going to stand by and behind if I was going to put it out put it out put it out um because it makes it makes stuff up um because it makes it makes stuff up um because it makes it makes stuff up yeah and that that's exactly the the yeah and that that's exactly the the yeah and that that's exactly the the whole productivity thesis or at least whole productivity thesis or at least whole productivity thesis or at least the vast majority of it in terms of like the vast majority of it in terms of like the vast majority of it in terms of like exponential value is exactly what you're exponential value is exactly what you're exponential value is exactly what you're talking about that it's not really good talking about that it's not really good talking about that it's not really good at it it's the the and I I think through at it it's the the and I I think through at it it's the the and I I think through this whole POC process that enterprises this whole POC process that enterprises this whole POC process that enterprises are going through organizations are are going through organizations are are going through organizations are going through that's what they're going going through that's what they're going going through that's what they're going to discover if they haven't discovered to discover if they haven't discovered to discover if they haven't discovered it already right and I'll tell you it already right and I'll tell you it already right and I'll tell you that's why Steve going back to what I that's why Steve going back to what I that's why Steve going back to what I was saying before that is what a lot of was saying before that is what a lot of was saying before that is what a lot of these POC are unveiling and so going these POC are unveiling and so going these POC are unveiling and so going back to what is the Gen AI opportunity back to what is the Gen AI opportunity back to what is the Gen AI opportunity the the value potential I think is going the the value potential I think is going the the value potential I think is going to be much narrower in terms of scope to be much narrower in terms of scope to be much narrower in terms of scope and it's going to have to focus on some and it's going to have to focus on some and it's going to have to focus on some very narrow high high high high value very narrow high high high high value very narrow high high high high value applications that justify the the super applications that justify the the super applications that justify the the super high value costs yeah super hot so you high value costs yeah super hot so you high value costs yeah super hot so you know um like what Bloomberg is doing know um like what Bloomberg is doing know um like what Bloomberg is doing uh I don't know could be a little bit uh I don't know could be a little bit uh I don't know could be a little bit iffy but I did talk to a Bloomberg iffy but I did talk to a Bloomberg iffy but I did talk to a Bloomberg reporter who's been using their reporter who's been using their reporter who's been using their Bloomberg GPT thingamajigger and he says Bloomberg GPT thingamajigger and he says Bloomberg GPT thingamajigger and he says that it's been helpful so you know given that it's been helpful so you know given that it's been helpful so you know given that is what uh you know writing that is what uh you know writing that is what uh you know writing articles putting putting polls or

  28. articles putting putting polls or articles putting putting polls or getting you know doing basic research getting you know doing basic research getting you know doing basic research and I said yeah you double check your and I said yeah you double check your and I said yeah you double check your the numbers and he goes yeah I always do the numbers and he goes yeah I always do the numbers and he goes yeah I always do but it's good because at least you know but it's good because at least you know but it's good because at least you know for him there's a bit of a productivity for him there's a bit of a productivity for him there's a bit of a productivity lift that he recognizes but let's lift that he recognizes but let's lift that he recognizes but let's recognize Bloomberg they are about recognize Bloomberg they are about recognize Bloomberg they are about number one information they have data number one information they have data number one information they have data scientists data Engineers that are scientists data Engineers that are scientists data Engineers that are curating and nurturing this thing curating and nurturing this thing curating and nurturing this thing and I one thing that a lot of people and I one thing that a lot of people and I one thing that a lot of people don't talk about and almost nobody talks don't talk about and almost nobody talks don't talk about and almost nobody talks about is how much it costs to maintain about is how much it costs to maintain about is how much it costs to maintain these things so that their quality and these things so that their quality and these things so that their quality and they don't have like what's called modal they don't have like what's called modal they don't have like what's called modal collapse and you know basically what is collapse and you know basically what is collapse and you know basically what is chat Jeep or you know um large language chat Jeep or you know um large language chat Jeep or you know um large language model dementia where it starts to model dementia where it starts to model dementia where it starts to collapse because of the inputs it's like collapse because of the inputs it's like collapse because of the inputs it's like weird uh phenomenon but there's no weird uh phenomenon but there's no weird uh phenomenon but there's no solution for it other than you have to solution for it other than you have to solution for it other than you have to keep monitoring it to make sure that it keep monitoring it to make sure that it keep monitoring it to make sure that it doesn't go off you know and it's like doesn't go off you know and it's like doesn't go off you know and it's like you know uh yeah a nightgown and wander you know uh yeah a nightgown and wander you know uh yeah a nightgown and wander into the street somewhere you know you into the street somewhere you know you into the street somewhere you know you just gotta look after it like you know just gotta look after it like you know just gotta look after it like you know it's you're you're you know grandparents it's you're you're you know grandparents it's you're you're you know grandparents like your own you're old retired like like your own you're old retired like like your own you're old retired like huge sales car used car sales guy that's huge sales car used car sales guy that's huge sales car used car sales guy that's like an old retired used car sales Dad like an old retired used car sales Dad like an old retired used car sales Dad yeah it's just like that sounds really yeah it's just like that sounds really yeah it's just like that sounds really good yeah but I'm gonna have to check good yeah but I'm gonna have to check good yeah but I'm gonna have to check all of your work

  29. extremely confident and it sounds good extremely confident and it sounds good but it's all wrong but it's all wrong but it's all wrong but that's where you mentioned to Andrea but that's where you mentioned to Andrea but that's where you mentioned to Andrea and Yen having that domain knowledge to and Yen having that domain knowledge to and Yen having that domain knowledge to double check the work just getting double check the work just getting double check the work just getting something to throw at there kind of as a something to throw at there kind of as a something to throw at there kind of as a brainstorm or a framework or potential brainstorm or a framework or potential brainstorm or a framework or potential brainstorms right and but you're still brainstorms right and but you're still brainstorms right and but you're still feeding that those data points like feeding that those data points like feeding that those data points like Leonard said you're setting the stage Leonard said you're setting the stage Leonard said you're setting the stage here's the context here's the lens I here's the context here's the lens I here's the context here's the lens I want to view this problem through I need want to view this problem through I need want to view this problem through I need you to calculate this based off humidity you to calculate this based off humidity you to calculate this based off humidity and combine that with temperature and and combine that with temperature and and combine that with temperature and then use this like you know you're then use this like you know you're then use this like you know you're you're still giving it all of those you're still giving it all of those you're still giving it all of those you're setting the stage and that takes you're setting the stage and that takes you're setting the stage and that takes the the experience the knowledge and the the experience the knowledge and the the experience the knowledge and then that critical thinking so what's then that critical thinking so what's then that critical thinking so what's your what's your guys experience for your what's your guys experience for your what's your guys experience for specific use cases that you work with specific use cases that you work with specific use cases that you work with for like chat GPT yeah do you have for like chat GPT yeah do you have for like chat GPT yeah do you have anything anything anything yes yes yes I think they're going to be using this I think they're going to be using this I think they're going to be using this very very soon maybe not chat DBT but I very very soon maybe not chat DBT but I very very soon maybe not chat DBT but I don't know if you saw the Adobe and don't know if you saw the Adobe and don't know if you saw the Adobe and Photoshop yeah Photoshop yeah Photoshop yeah um that's a lot of people going to be that's a lot of people going to be automatic I mean right now people that automatic I mean right now people that automatic I mean right now people that are using it are seeking it out are using it are seeking it out are using it are seeking it out yeah but the Photoshop suddenly yeah but the Photoshop suddenly yeah but the Photoshop suddenly everybody asks well I don't I don't know everybody asks well I don't I don't know everybody asks well I don't I don't know if you have to buy specific report I if you have to buy specific report I if you have to buy specific report I don't know about that but once that don't know about that but once that don't know about that but once that functionality is out and just you see functionality is out and just you see functionality is out and just you see see that just a video demo of what you see that just a video demo of what you see that just a video demo of what you can do can do can do I think a lot of people start trying to I think a lot of people start trying to I think a lot of people start trying to use that stuff but it's going to be a use that stuff but it's going to be a use that stuff but it's going to be a lot of use cases there just to what are

  30. lot of use cases there just to what are lot of use cases there just to what are you doing you doing you doing Rob's got Chad GPT on his phone doesn't Rob's got Chad GPT on his phone doesn't Rob's got Chad GPT on his phone doesn't it that's the answer interest yes it that's the answer interest yes it that's the answer interest yes question directly yeah oh so question directly yeah oh so question directly yeah oh so my main gig not a profitable one is I'm my main gig not a profitable one is I'm my main gig not a profitable one is I'm a writer and then I write Fiction more a writer and then I write Fiction more a writer and then I write Fiction more so I'm trying to write more fiction than so I'm trying to write more fiction than so I'm trying to write more fiction than all these non-fiction books I published all these non-fiction books I published all these non-fiction books I published and so I've been really struggling and so I've been really struggling and so I've been really struggling trying to finish the sequel to submarine trying to finish the sequel to submarine trying to finish the sequel to submarine Warriors and uh and so there's an action Warriors and uh and so there's an action Warriors and uh and so there's an action sequence that I needed help with sequence that I needed help with sequence that I needed help with and so I just said describe an action and so I just said describe an action and so I just said describe an action sequence where a submarine is being sequence where a submarine is being sequence where a submarine is being chased by an underwater alien ship chased by an underwater alien ship chased by an underwater alien ship this is real this is real this is real um and I'll just write I I won't bore um and I'll just write I I won't bore um and I'll just write I I won't bore you but I'll read a little bit the Sleek you but I'll read a little bit the Sleek you but I'll read a little bit the Sleek submarine guided effortlessly through submarine guided effortlessly through submarine guided effortlessly through the dark depths of the ocean its crew the dark depths of the ocean its crew the dark depths of the ocean its crew intently monitoring the sonar readings intently monitoring the sonar readings intently monitoring the sonar readings suddenly a blip appeared on the radar suddenly a blip appeared on the radar suddenly a blip appeared on the radar screen screen screen uh rapidly closing in on their position uh rapidly closing in on their position uh rapidly closing in on their position as tension filled the control room the as tension filled the control room the as tension filled the control room the captain barked orders to the crew captain barked orders to the crew captain barked orders to the crew preparing them for imminent Chase lights preparing them for imminent Chase lights preparing them for imminent Chase lights flickered and alarms blared as the alien flickered and alarms blared as the alien flickered and alarms blared as the alien ship burst through the water revealing ship burst through the water revealing ship burst through the water revealing its otherworldly design its angular Hull its otherworldly design its angular Hull its otherworldly design its angular Hull shimmered with an eerie luminescence shimmered with an eerie luminescence shimmered with an eerie luminescence while strange appendages extended from while strange appendages extended from while strange appendages extended from its side with the burst of speed the its side with the burst of speed the its side with the burst of speed the alien vessel pursued the submarine alien vessel pursued the submarine alien vessel pursued the submarine matching its every move anyway it goes matching its every move anyway it goes matching its every move anyway it goes on for a long time from there wow you on for a long time from there wow you on for a long time from there wow you got a bestseller I think I think champ got a bestseller I think I think champ got a bestseller I think I think champ GPT is a little long-winded sometimes

  31. GPT is a little long-winded sometimes GPT is a little long-winded sometimes yeah it's like look look you could use yeah it's like look look you could use yeah it's like look look you could use about situation of the words that it's about situation of the words that it's about situation of the words that it's just talking in circles you know it's just talking in circles you know it's just talking in circles you know it's just the sales day and that's all I just the sales day and that's all I just the sales day and that's all I think of is a sales guy talking in think of is a sales guy talking in think of is a sales guy talking in circles yeah well you know here's my circles yeah well you know here's my circles yeah well you know here's my problem with it problem with it problem with it um why would an alien ship show up as a um why would an alien ship show up as a um why would an alien ship show up as a blip well sonar and then it surfaces and blip well sonar and then it surfaces and blip well sonar and then it surfaces and then reveals is called the Battle of Seattle where is called the Battle of Seattle where it's a multi-submarine multi it's a multi-submarine multi it's a multi-submarine multi underworlder battle literally the Puget underworlder battle literally the Puget underworlder battle literally the Puget Sound in front of Seattle downtown and Sound in front of Seattle downtown and Sound in front of Seattle downtown and it's insane but then they're escaping it's insane but then they're escaping it's insane but then they're escaping but they're being chased and I was like but they're being chased and I was like but they're being chased and I was like what's gonna happen there and so you what's gonna happen there and so you what's gonna happen there and so you know the stuff you know it's it's great know the stuff you know it's it's great know the stuff you know it's it's great to just get you going sometimes you know to just get you going sometimes you know to just get you going sometimes you know and also the the wordiness I understand and also the the wordiness I understand and also the the wordiness I understand what you're talking about what you're talking about what you're talking about but there's this notion where you're but there's this notion where you're but there's this notion where you're writing like I remember you know when I writing like I remember you know when I writing like I remember you know when I first wrote the first submarine Warriors first wrote the first submarine Warriors first wrote the first submarine Warriors book uh and you having people review it book uh and you having people review it book uh and you having people review it you know and editors and stuff like that you know and editors and stuff like that you know and editors and stuff like that and they said yeah I remember early on and they said yeah I remember early on and they said yeah I remember early on it's like Rob this sounds like a video it's like Rob this sounds like a video it's like Rob this sounds like a video game you know this happened and this game you know this happened and this game you know this happened and this happened and this happened it was just happened and this happened it was just happened and this happened it was just like you're playing Xbox and they're like you're playing Xbox and they're like you're playing Xbox and they're right and so there's this notion I'll right and so there's this notion I'll right and so there's this notion I'll just use my term the thickening just use my term the thickening just use my term the thickening where you need more words more context

  32. where you need more words more context where you need more words more context more backstory more flavor yeah imagery more backstory more flavor yeah imagery more backstory more flavor yeah imagery for the reader instead of saying you for the reader instead of saying you for the reader instead of saying you know I walked into this building and know I walked into this building and know I walked into this building and pulled up my pulse rifle and I saw it pulled up my pulse rifle and I saw it pulled up my pulse rifle and I saw it alien you know whatever what's what else alien you know whatever what's what else alien you know whatever what's what else is going on and so I think the flowery is going on and so I think the flowery is going on and so I think the flowery writing will actually be helpful yeah I writing will actually be helpful yeah I writing will actually be helpful yeah I mean think about thinking about the um mean think about thinking about the um mean think about thinking about the um the Game of Thrones if you ever read the Game of Thrones if you ever read the Game of Thrones if you ever read that I mean 90 of like that book is like that I mean 90 of like that book is like that I mean 90 of like that book is like about food you know it is like he spends about food you know it is like he spends about food you know it is like he spends so much he's hungry man food on the so much he's hungry man food on the so much he's hungry man food on the table and it's like wow you can actually table and it's like wow you can actually table and it's like wow you can actually make recipes make recipes make recipes and cook something uh off of the you and cook something uh off of the you and cook something uh off of the you know a half a chapter because you know know a half a chapter because you know know a half a chapter because you know when there's a banquet or whatever you when there's a banquet or whatever you when there's a banquet or whatever you know somebody's like chewing on a carrot know somebody's like chewing on a carrot know somebody's like chewing on a carrot he just goes nuts with that you know another book I've been working on is is another book I've been working on is is literally a cookbook but it's going to literally a cookbook but it's going to literally a cookbook but it's going to be really be really be really and it's it's about different types of and it's it's about different types of and it's it's about different types of queso dip yeah I was gonna say queso dip yeah I was gonna say queso dip yeah I was gonna say what can I say it I knew it yeah when you're reading that paragraph when you're reading that paragraph earlier and we were all listening here earlier and we were all listening here earlier and we were all listening here with all I could think of what came to with all I could think of what came to with all I could think of what came to mind was like uh 50 Shades of Gray of mind was like uh 50 Shades of Gray of mind was like uh 50 Shades of Gray of submarines

  33. great audience this is when iot Coffee great audience this is when iot Coffee Talk goes right down the tubes yeah I'm Talk goes right down the tubes yeah I'm Talk goes right down the tubes yeah I'm waiting for Rob to start his iot queso waiting for Rob to start his iot queso waiting for Rob to start his iot queso machine business or like queso as a machine business or like queso as a machine business or like queso as a service you know you just have like service you know you just have like service you know you just have like remote queso machines remote queso machines remote queso machines right and a QR code mqtt you know right and a QR code mqtt you know right and a QR code mqtt you know whatever other buzzwords you want in whatever other buzzwords you want in whatever other buzzwords you want in there yeah yeah how many plc's does it there yeah yeah how many plc's does it there yeah yeah how many plc's does it take to make your kiss over take to make your kiss over take to make your kiss over only four but they're all different only four but they're all different only four but they're all different brands so good luck periodic injections brands so good luck periodic injections brands so good luck periodic injections of like different statins like Lipitor of like different statins like Lipitor of like different statins like Lipitor and other things into the case and other things into the case and other things into the case you can do uh Choose Your Own Adventure you can do uh Choose Your Own Adventure you can do uh Choose Your Own Adventure Choose Your Own Adventure iot queso Choose Your Own Adventure iot queso Choose Your Own Adventure iot queso machine machine machine investors maybe you wow wow I see a investors maybe you wow wow I see a investors maybe you wow wow I see a booth at Mobile World Congress coming booth at Mobile World Congress coming booth at Mobile World Congress coming okay so as a service yeah you know what okay so as a service yeah you know what okay so as a service yeah you know what we've been overthinking and trying to be we've been overthinking and trying to be we've been overthinking and trying to be too brilliant too brilliant too brilliant level of what human beings need and what level of what human beings need and what level of what human beings need and what in its case of you need to start at the in its case of you need to start at the in its case of you need to start at the bottom and go up we've been going top bottom and go up we've been going top bottom and go up we've been going top down you know we got to solve all the down you know we got to solve all the down you know we got to solve all the the silly things first and then yeah you the silly things first and then yeah you the silly things first and then yeah you know also since I'm a world-renowned know also since I'm a world-renowned know also since I'm a world-renowned chef in my mind chef in my mind chef in my mind um there's something else I've been working there's something else I've been working on here on here on here olive oil spicy oil no spicy oil yes olive oil spicy oil no spicy oil yes olive oil spicy oil no spicy oil yes spicy oil oh spicy oil wow well no you

  34. spicy oil oh spicy oil wow well no you spicy oil oh spicy oil wow well no you know obviously our European friends know obviously our European friends know obviously our European friends would recognize that when they go to a would recognize that when they go to a would recognize that when they go to a Italian restaurant or Pizzeria anywhere Italian restaurant or Pizzeria anywhere Italian restaurant or Pizzeria anywhere in Europe in Europe in Europe sitting on your table sitting on your table sitting on your table will be some kind of bottle of spicy will be some kind of bottle of spicy will be some kind of bottle of spicy chili oil like you can see I've got my chili oil like you can see I've got my chili oil like you can see I've got my little pepper in there you know and so little pepper in there you know and so little pepper in there you know and so uh I noticed that this is not a thing in uh I noticed that this is not a thing in uh I noticed that this is not a thing in the United States in Estados unidos and the United States in Estados unidos and the United States in Estados unidos and I don't know why I don't know why I don't know why and so because I remember watching and so because I remember watching and so because I remember watching people just pour this all over their people just pour this all over their people just pour this all over their pizza or put it on focaccia bread or pizza or put it on focaccia bread or pizza or put it on focaccia bread or different things like that and so I different things like that and so I different things like that and so I started experimenting I mean a lot of started experimenting I mean a lot of started experimenting I mean a lot of people are just like those red pepper people are just like those red pepper people are just like those red pepper flakes you put on the pizza they're like flakes you put on the pizza they're like flakes you put on the pizza they're like you know olive oil red pepper flakes you know olive oil red pepper flakes you know olive oil red pepper flakes much better I've experimented much better I've experimented much better I've experimented you know I put garlic powder and then you know I put garlic powder and then you know I put garlic powder and then you know and then have different levels you know and then have different levels you know and then have different levels of heat you know if you need to kick it of heat you know if you need to kick it of heat you know if you need to kick it up a notch maybe a little Cayenne in up a notch maybe a little Cayenne in up a notch maybe a little Cayenne in there there there um um um anyway this is something other thing I'm anyway this is something other thing I'm anyway this is something other thing I'm working on in the Food Spot selling working on in the Food Spot selling working on in the Food Spot selling these yeah yeah yeah yeah iot coffee talk this is Rob I said iot coffee talk this is Rob I said iot coffee talk this is Rob I said investor I would say that it's the the investor I would say that it's the the investor I would say that it's the the the so anyone can copy your product the so anyone can copy your product the so anyone can copy your product right and make it cheaper and better maybe Steve can can tell you as awesome what have some of us had to become good what have some of us had to become good at that's not technical marketing at that's not technical marketing at that's not technical marketing guerrilla marketing so when you're in a guerrilla marketing so when you're in a guerrilla marketing so when you're in a commodity Market

  35. commodity Market commodity Market your differentiation is marketing 100 your differentiation is marketing 100 your differentiation is marketing 100 that's right anybody can make that stuff that's right anybody can make that stuff that's right anybody can make that stuff um and so yeah um and so yeah um and so yeah funny quotes or stuff you know you know funny quotes or stuff you know you know funny quotes or stuff you know you know bring the heat or something like bring the heat or something like bring the heat or something like that you know Instagram there's 10 things that we all buy food there's 10 things that we all buy food things every day that are total things every day that are total things every day that are total commodity that can be copied and yet commodity that can be copied and yet commodity that can be copied and yet they're successful they're successful they're successful they create them out through their they create them out through their they create them out through their brands and you know and make you know so brands and you know and make you know so brands and you know and make you know so uh I remember years ago doing a startup uh I remember years ago doing a startup uh I remember years ago doing a startup uh during the.com time and we were uh during the.com time and we were uh during the.com time and we were pitching I don't know if it was Madrona pitching I don't know if it was Madrona pitching I don't know if it was Madrona or Maverick whatever VCS and they were or Maverick whatever VCS and they were or Maverick whatever VCS and they were talking about barrier to entry for what talking about barrier to entry for what talking about barrier to entry for what we were doing and it didn't feel like we were doing and it didn't feel like we were doing and it didn't feel like there was enough there was enough there was enough and they were the primary early investor and they were the primary early investor and they were the primary early investor of Starbucks of Starbucks of Starbucks yeah well gee guys if you had thought yeah well gee guys if you had thought yeah well gee guys if you had thought that way when Howard Schultz was trying that way when Howard Schultz was trying that way when Howard Schultz was trying to raise money you know how did that to raise money you know how did that to raise money you know how did that happen espresso coffee there's no buried happen espresso coffee there's no buried happen espresso coffee there's no buried entry there either but Starbucks created entry there either but Starbucks created entry there either but Starbucks created a moat around experience right so anyway a moat around experience right so anyway a moat around experience right so anyway I'm just digressing here but obviously I'm just digressing here but obviously I'm just digressing here but obviously there's other ways it was the mochaccino there's other ways it was the mochaccino there's other ways it was the mochaccino that's what it was man it's like that's what it was man it's like that's what it was man it's like freaking sugar the way you differentiate freaking sugar the way you differentiate freaking sugar the way you differentiate yourself yourself yourself is throw as much sugar and like caramel is throw as much sugar and like caramel is throw as much sugar and like caramel caramel sludge in it and then rule the

  36. caramel sludge in it and then rule the caramel sludge in it and then rule the market market market it's a science oh go ahead Mark it's a science oh go ahead Mark it's a science oh go ahead Mark no I think in 2023 if you want to put no I think in 2023 if you want to put no I think in 2023 if you want to put your product in the right marketing for your product in the right marketing for your product in the right marketing for free or almost for free is to get into free or almost for free is to get into free or almost for free is to get into the llma OR into the chat GPT uh model the llma OR into the chat GPT uh model the llma OR into the chat GPT uh model so any text that it generates it so any text that it generates it so any text that it generates it mentioned Tiffany's chili oil or Tiffany mentioned Tiffany's chili oil or Tiffany mentioned Tiffany's chili oil or Tiffany is a spicy oil yeah absolutely right you is a spicy oil yeah absolutely right you is a spicy oil yeah absolutely right you have a free ad on every chat GPD text have a free ad on every chat GPD text have a free ad on every chat GPD text right and so we just got on the video right and so we just got on the video right and so we just got on the video version yeah lots of young people on version yeah lots of young people on version yeah lots of young people on Tick Tock saying oh my God I can't Tick Tock saying oh my God I can't Tick Tock saying oh my God I can't believe it a spicy oil Tick Tock influencer and a spicy oil Tick Tock influencer and these were related yeah these were related yeah these were related yeah a chili oil a chili oil a chili oil is yeah basically India when you talked about examples I India when you talked about examples I just heard one uh earlier last week that just heard one uh earlier last week that just heard one uh earlier last week that I thought was pretty interesting uh for I thought was pretty interesting uh for I thought was pretty interesting uh for this offer people around here I know if this offer people around here I know if this offer people around here I know if you're familiar with peer programming you're familiar with peer programming you're familiar with peer programming yeah yeah we get the programmers one yeah yeah we get the programmers one yeah yeah we get the programmers one program the other one's karaoke yeah program the other one's karaoke yeah program the other one's karaoke yeah that's an exact example for generative that's an exact example for generative that's an exact example for generative AI or AI in general like instead of AI or AI in general like instead of AI or AI in general like instead of adding some person you now have ai adding some person you now have ai adding some person you now have ai looking up resources checking stuff looking up resources checking stuff looking up resources checking stuff checking a code while you write it that checking a code while you write it that checking a code while you write it that would be an interesting um yeah yeah would be an interesting um yeah yeah would be an interesting um yeah yeah that makes sense yeah you gotta take off

  37. that makes sense yeah you gotta take off that makes sense yeah you gotta take off okay yeah yeah I think we gotta shut okay yeah yeah I think we gotta shut okay yeah yeah I think we gotta shut this one down so who wants to take us this one down so who wants to take us this one down so who wants to take us out out out yeah and you want to try it yeah and you want to try it yeah and you want to try it how do you think you are oh how do you think you are oh how do you think you are oh the outro the outro the outro the outside control the outside control the outside control yeah I don't I don't play a guitar you yeah I don't I don't play a guitar you yeah I don't I don't play a guitar you know know know Rob I think you have to do it or yeah Rob I think you have to do it or yeah Rob I think you have to do it or yeah Andre you want to try I gotta run Andre you want to try I gotta run Andre you want to try I gotta run away I'm glad to try try as he's probably I'm glad to try try as he's probably just uh I wasn't sure if it was a music just uh I wasn't sure if it was a music just uh I wasn't sure if it was a music take out of just uh it's a date take out of just uh it's a date take out of just uh it's a date here at the end of uh this uh this says here at the end of uh this uh this says here at the end of uh this uh this says here today I I have no idea what you here today I I have no idea what you here today I I have no idea what you started out talking about but at the end started out talking about but at the end started out talking about but at the end of this was pretty interesting joined us here I hope you have joined us here I hope you have experienced both uh good indifferent or experienced both uh good indifferent or experienced both uh good indifferent or at least something that you uh can bring at least something that you uh can bring at least something that you uh can bring home and think about uh more just home and think about uh more just home and think about uh more just thought we were we were silly as usual thought we were we were silly as usual thought we were we were silly as usual right right right [Laughter] [Laughter] [Laughter] but but but yeah come back again next week and uh yeah come back again next week and uh yeah come back again next week and uh and look for us uh what is it uh YouTube and look for us uh what is it uh YouTube and look for us uh what is it uh YouTube and Linkedin and Linkedin and Linkedin uh where we have and of course your uh where we have and of course your uh where we have and of course your favorite uh favorite uh um Spotify or favorite uh favorite uh um Spotify or favorite uh favorite uh um Spotify or apple podcast yeah yeah all right apple podcast yeah yeah all right apple podcast yeah yeah all right www.iotcoffee talk.com and please donate

  38. www.iotcoffee talk.com and please donate www.iotcoffee talk.com and please donate to uh to uh to uh elevatorkids.org yeah and you did an elevatorkids.org yeah and you did an elevatorkids.org yeah and you did an excellent job that was really really excellent job that was really really excellent job that was really really good for your first time doing the outro good for your first time doing the outro good for your first time doing the outro and uh the outro all right guys take care all right guys all right guys take care all right guys [Music]

Summary

The main topic is an upcoming Honeywell User Group (HUG) conference focusing on advancements in their "Forge" platform. Key subjects discussed include new offerings and customer interactions. The practical takeaway is the value of attending such events for learning about industry developments and networking with peers.

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